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Dinh KN, Vázquez-García I, Chan A, Malhotra R, Weiner A, McPherson AW, Tavaré S. CINner: modeling and simulation of chromosomal instability in cancer at single-cell resolution. bioRxiv 2024:2024.04.03.587939. [PMID: 38617259 PMCID: PMC11014621 DOI: 10.1101/2024.04.03.587939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/16/2024]
Abstract
Cancer development is characterized by chromosomal instability, manifesting in frequent occurrences of different genomic alteration mechanisms ranging in extent and impact. Mathematical modeling can help evaluate the role of each mutational process during tumor progression, however existing frameworks can only capture certain aspects of chromosomal instability (CIN). We present CINner, a mathematical framework for modeling genomic diversity and selection during tumor evolution. The main advantage of CINner is its flexibility to incorporate many genomic events that directly impact cellular fitness, from driver gene mutations to copy number alterations (CNAs), including focal amplifications and deletions, missegregations and whole-genome duplication (WGD). We apply CINner to find chromosome-arm selection parameters that drive tumorigenesis in the absence of WGD in chromosomally stable cancer types. We found that the selection parameters predict WGD prevalence among different chromosomally unstable tumors, hinting that the selective advantage of WGD cells hinges on their tolerance for aneuploidy and escape from nullisomy. Direct application of CINner to model the WGD proportion and fraction of genome altered (FGA) further uncovers the increase in CNA probabilities associated with WGD in each cancer type. CINner can also be utilized to study chromosomally stable cancer types, by applying a selection model based on driver gene mutations and focal amplifications or deletions. Finally, we used CINner to analyze the impact of CNA probabilities, chromosome selection parameters, tumor growth dynamics and population size on cancer fitness and heterogeneity. We expect that CINner will provide a powerful modeling tool for the oncology community to quantify the impact of newly uncovered genomic alteration mechanisms on shaping tumor progression and adaptation.
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Affiliation(s)
- Khanh N. Dinh
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
- Department of Statistics, Columbia University, New York, NY, USA
| | - Ignacio Vázquez-García
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrew Chan
- Case Western Reserve University, Cleveland, OH, USA
| | - Rhea Malhotra
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Stanford University, Palo Alto, CA, USA
| | - Adam Weiner
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
- Tri-Institutional PhD Program in Computational Biology and Medicine, Weill Cornell Medicine, New York, NY, USA
| | - Andrew W. McPherson
- Computational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Simon Tavaré
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA
- Department of Statistics, Columbia University, New York, NY, USA
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Qian L, Chan A, Cai J, Lewicke J, Gregson G, Lipsett M, Rios Rincón A. Evaluation of the accuracy of a UWB tracker for in-home positioning for older adults. Med Eng Phys 2024; 126:104155. [PMID: 38621851 DOI: 10.1016/j.medengphy.2024.104155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 03/04/2024] [Accepted: 03/16/2024] [Indexed: 04/17/2024]
Abstract
The population of older adults is rapidly growing. In-home monitoring systems have been used to support aging-in-place. Ambient sensors or wearable localizers can be used but may be too low resolution, while camera systems are invasive to privacy. Ultra-wideband (UWB) localization offers precise positioning by placing anchors throughout the house and wearing a tag that is tracked by the anchors. In this study, the accuracy of UWB for indoor tracking was evaluated in a motion capture gait lab and in a mock condo in the Glenrose Rehabilitation Hospital. First, the configuration of UWB was tested, changing factors related to sampling time, anchor placement and line-of-sight. Comparing these factors to the configurations recommended by the manufacturer guidelines, accuracies remained within 14 cm. We then performed static and dynamic accuracy tests, with dynamic testing comprised of rolling and walking motions. In the motion capture lab, we found localization accuracies of 7.0 ± 11.1 cm while in the mock condo, we found accuracies of 27.3 ± 12.9 cm. Dynamic testing with rolling motions had an average of 19.1 ± 1.6 cm while walking was 20.5 ± 4.2 cm. The mean accuracy of UWB is within the 30 cm target for indoor localization.
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Affiliation(s)
- Linna Qian
- Department of Mechanical Engineering, University of Alberta, 10th Floor, Donadeo Innovation Centre for Engineering, 9211 116St NW, Edmonton, AB T6G 1H9, Canada
| | - Andrew Chan
- Research, Innovation and Technology, Glenrose Rehabilitation Hospital, 10105 112 Ave NW, Edmonton, AB T5G 0H1, Canada.
| | - Joanne Cai
- Department of Mechanical Engineering, University of Alberta, 10th Floor, Donadeo Innovation Centre for Engineering, 9211 116St NW, Edmonton, AB T6G 1H9, Canada
| | - Justin Lewicke
- Research, Innovation and Technology, Glenrose Rehabilitation Hospital, 10105 112 Ave NW, Edmonton, AB T5G 0H1, Canada
| | - Geoff Gregson
- Research, Innovation and Technology, Glenrose Rehabilitation Hospital, 10105 112 Ave NW, Edmonton, AB T5G 0H1, Canada; Department of Occupational Therapy, University of Alberta, 8205 - 114St, 2-64 Corbett Hall, Edmonton, AB T6G 2G4, Canada
| | - Michael Lipsett
- Department of Mechanical Engineering, University of Alberta, 10th Floor, Donadeo Innovation Centre for Engineering, 9211 116St NW, Edmonton, AB T6G 1H9, Canada
| | - Adriana Rios Rincón
- Department of Occupational Therapy, University of Alberta, 8205 - 114St, 2-64 Corbett Hall, Edmonton, AB T6G 2G4, Canada
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Diem L, Ovchinnikov A, Friedli C, Hammer H, Kamber N, Chan A, Salmen A, Findling O, Hoepner R. Efficacy and safety of ocrelizumab in patients with relapsing multiple sclerosis: Real-world experience of two Swiss multiple sclerosis centers. Mult Scler Relat Disord 2024; 86:105570. [PMID: 38604001 DOI: 10.1016/j.msard.2024.105570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 03/07/2024] [Accepted: 03/21/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Ocrelizumab (OCR) is a humanized monoclonal antibody directed against CD-20 positive lymphocytes, mainly B-lymphocytes. OCR is approved for treatment of primary progressive (PPMS) and relapsing multiple sclerosis (RMS). This study aims to provide real-world safety and efficacy data of people with RMS treated with OCR in two Swiss Multiple Sclerosis (MS) centers. METHODS We have conducted a retrospective data analysis using the patient cohorts from the Cantonal Hospital Aarau and Bern University Hospital (RMS: n = 235). Statistical analyses were performed with Mann-Whitney U-Test, Chi-squared test and Spearman-Rho-Correlation. Adjustment for multiple testing was performed by Bonferroni procedure. RESULTS After initiation of OCR, there was a decrease in disease activity in RMS patients. In our study, 152/190 (80.0 %) RMS patients fulfilled the criteria for NEDA-3 12 months and 88/104 (84.6 %) showed NEDA-3 24 months after OCR initiation. The most frequent adverse events (AEs) in our study were infections, taking place in 78/235 (33.2 %) RMS patients. COVID-19 was the most common infection, followed by urinary infections and other respiratory infections and infectious adverse events occurred significantly more frequent in patients with reduced IgG serum concentration. CONCLUSIONS Our real-world study showed OCR being associated with low rates of any type of MS disease activity as indicated by NEDA-3. The adverse event profile is comparable to the known events especially infections and an association between infections and reduced IgG serum concentration was found.
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Affiliation(s)
- L Diem
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Freiburgstrasse, Bern, Switzerland; Neurocenter, Lucerne Cantonal Hospital, Lucerne, 6000, Switzerland.
| | - A Ovchinnikov
- Department of Neurology, Cantonal Hospital Aarau (Kantonsspital Aarau), Tellstrasse, Aarau, Switzerland
| | - C Friedli
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Freiburgstrasse, Bern, Switzerland; Department of Neurology, Waikato Hospital, Hamilton, New Zealand
| | - H Hammer
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Freiburgstrasse, Bern, Switzerland
| | - N Kamber
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Freiburgstrasse, Bern, Switzerland
| | - A Chan
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Freiburgstrasse, Bern, Switzerland
| | - A Salmen
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Freiburgstrasse, Bern, Switzerland
| | - O Findling
- Department of Neurology, Cantonal Hospital Aarau (Kantonsspital Aarau), Tellstrasse, Aarau, Switzerland
| | - R Hoepner
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Freiburgstrasse, Bern, Switzerland
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Schwab M, Chan A, Eser AK, Kallmann B, Pöhlau D, Richter J, Wagner TB, Grothe C. REBISTART: Adherence of Patients with Multiple Sclerosis to Treatment with Subcutaneous Interferon Beta in the Context of a Patient Support Program. Neurol Ther 2024:10.1007/s40120-024-00593-x. [PMID: 38530606 DOI: 10.1007/s40120-024-00593-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 02/16/2024] [Indexed: 03/28/2024] Open
Abstract
INTRODUCTION Treatment adherence is a critical success factor in the disease-modifying therapy (DMT) of multiple sclerosis (MS). The REBISTART study prospectively evaluated adherence in patients using components of a patient support program (PSP). METHODS The 12-month non-interventional multicenter study examined the real-world adherence to subcutaneously (sc) injected interferon beta-1a (Rebif®). Patient-assessed adherence was measured by a visual analog scale (VAS) and the Morisky Medication Adherence Scale (MMAS). Objective adherence data were obtained by readouts from the RebiSmart® injection device. RESULTS Of 333 patients, 70.9% used the nursing service as the core component of the PSP. Self-assessed VAS-based adherence was stable over time at 94.0-96.3%. Similarly, MMAS score (maximum 4) was 3.8-3.9 at all visits, also reflecting high self-assessed adherence. In 269 patients using the RebiSmart® injection device, mean readout-based objective adherence was similarly high (93.0-98.4% throughout visits). At last available visit, VAS-based adherence was independent of participation in the PSP nursing service (93.1% with participation versus 91.7% without it). Adherence was also independent of injection method or disease-related measures, including fatigue, depression, cognition, and quality of life. The most frequent reason for the premature discontinuations (38.7% of patients) was "change of treatment" (10.0%). DISCUSSION We suggest that subgroups that may specifically benefit from PSP include patients who live alone, use multiple comedications, and are affected by cognitive impairment, depression, and/or fatigue. Further studies should investigate the potential usefulness of PSPs in these populations. CONCLUSIONS Very high adherence rates independent of the PSP nursing service over 1 year of treatment indicate that IFN beta-1a sc is an easy-to-use and well-tolerated disease-modifying drug. TRIAL REGISTRATION NUMBER Vfa.de: No. 892. https://www.vfa.de/de/arzneimittel-forschung/datenbanken-zu-arzneimitteln/nisdb/nis-details/_892 .
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Affiliation(s)
- Matthias Schwab
- Department of Neurology, Jena University Hospital, 07740, Jena, Germany.
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Anna-Katharina Eser
- Neurologisches Zentrum, Bezirksklinikum Mainkofen, 94469, Mainkofen, Germany
| | - Boris Kallmann
- Kallmann Neurologie, Luitpoldstraße 36, 96052, Bamberg, Germany
| | - Dieter Pöhlau
- DRK Kamillus Klinik, Hospitalstraße 6, 53567, Asbach, Germany
| | - Joachim Richter
- Merck Healthcare Germany GmbH, Waldstraße 3, 64331, Weiterstadt, Germany
| | - Torsten B Wagner
- Merck Healthcare Germany GmbH, Waldstraße 3, 64331, Weiterstadt, Germany.
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Thränhardt P, Veselaj A, Friedli C, Wagner F, Marti S, Diem L, Hammer H, Radojewski P, Wiest R, Chan A, Hoepner R, Salmen A. Sex differences in multiple sclerosis relapse presentation and outcome: a retrospective, monocentric study of 134 relapse events. Ther Adv Neurol Disord 2024; 17:17562864241237853. [PMID: 38532803 PMCID: PMC10964455 DOI: 10.1177/17562864241237853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 02/07/2024] [Indexed: 03/28/2024] Open
Abstract
Background Reporting of sex-specific analyses in multiple sclerosis (MS) is sparse. Disability accrual results from relapses (relapse-associated worsening) and independent thereof (progression independent of relapses). Objectives A population of MS patients during relapse treated per standard of care was analyzed for sex differences and short-term relapse outcome (3-6 months) as measured by Expanded Disability Status Scale (EDSS) change. Design Single-center retrospective study. Methods We analyzed 134 MS relapses between March 2016 and August 2020. All events required relapse treatment (steroids and/or plasma exchange). Demographic, disease, and paraclinical characteristics [cerebrospinal fluid (CSF) and magnetic resonance imaging (MRI)] were displayed separated by sex. Multivariable linear regression was run to identify factors associated with short-term EDSS change. Results Mean age at relapse was 38.4 years (95% confidence interval: 36.3-40.4) with a proportion of 71.6% women in our cohort. Smoking was more than twice as prevalent in men (65.8%) than women (32.3%). In- and after-relapse EDSSs were higher in men [men: 3.3 (2.8-3.9), women: 2.7 (2.4-3.0); men: 3.0 (1.3-3.6); women: 1.8 (1.5-2.1)] despite similar relapse intervention. Paraclinical parameters revealed no sex differences. Our primary model identified female sex, younger age, and higher EDSS at relapse to be associated with EDSS improvement. A higher immunoglobulin G (IgG) quotient (CSF/serum) was associated with poorer short-term outcome [mean days between first relapse treatment and last EDSS assessment 130.2 (79.3-181.0)]. Conclusion Sex and gender differences are important in outcome analyses of MS relapses. Effective treatment regimens need to respect putative markers for a worse outcome to modify long-term prognosis such as clinical and demographic variables, complemented by intrathecal IgG synthesis. Prospective trials should be designed to address these differences and confirm our results.
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Affiliation(s)
- Pauline Thränhardt
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Admirim Veselaj
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Christoph Friedli
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Neurology, Waikato Hospital, Hamilton, New Zealand
| | - Franca Wagner
- University Department of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Translational Imaging Center, Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Stefanie Marti
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Lara Diem
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Helly Hammer
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Piotr Radojewski
- University Department of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Translational Imaging Center, Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Roland Wiest
- University Department of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Translational Imaging Center, Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Robert Hoepner
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Anke Salmen
- Department of Neurology, St Josef-Hospital Bochum, Ruhr-University Bochum, Gudrunstrasse 56, Bochum 44791, GermanyDepartment of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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Leys D, Sommer C, Borroni B, Chan A, Edwards M, Tessitore A, Vonck K. Lessons from the past to understand the future. Eur J Neurol 2024:e16270. [PMID: 38440905 DOI: 10.1111/ene.16270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Accepted: 02/19/2024] [Indexed: 03/06/2024]
Affiliation(s)
- Didier Leys
- European Academy of Neurology, Vienna, Austria
| | | | | | - Andrew Chan
- European Academy of Neurology, Vienna, Austria
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Dai R, Kelly BN, Ike A, Berger D, Chan A, Drew DA, Ljungman D, Mutiibwa D, Ricciardi R, Tumusiime G, Cusack JC. The Impact of the Gut Microbiome, Environment, and Diet in Early-Onset Colorectal Cancer Development. Cancers (Basel) 2024; 16:676. [PMID: 38339427 PMCID: PMC10854951 DOI: 10.3390/cancers16030676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 01/26/2024] [Accepted: 02/02/2024] [Indexed: 02/12/2024] Open
Abstract
Traditionally considered a disease common in the older population, colorectal cancer is increasing in incidence among younger demographics. Evidence suggests that populational- and generational-level shifts in the composition of the human gut microbiome may be tied to the recent trends in gastrointestinal carcinogenesis. This review provides an overview of current research and putative mechanisms behind the rising incidence of colorectal cancer in the younger population, with insight into future interventions that may prevent or reverse the rate of early-onset colorectal carcinoma.
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Affiliation(s)
- Rui Dai
- Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA
- Harvard Medical School, Harvard University, Boston, MA 02115, USA; (D.B.); (A.C.); (D.A.D.); (R.R.)
| | - Bridget N. Kelly
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA (A.I.)
| | - Amarachi Ike
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA (A.I.)
| | - David Berger
- Harvard Medical School, Harvard University, Boston, MA 02115, USA; (D.B.); (A.C.); (D.A.D.); (R.R.)
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA (A.I.)
| | - Andrew Chan
- Harvard Medical School, Harvard University, Boston, MA 02115, USA; (D.B.); (A.C.); (D.A.D.); (R.R.)
- Department of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - David A. Drew
- Harvard Medical School, Harvard University, Boston, MA 02115, USA; (D.B.); (A.C.); (D.A.D.); (R.R.)
- Department of Gastroenterology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - David Ljungman
- Sahlgrenska University Hospital, University of Gothenburg, 413 45 Gothenburg, Sweden;
| | - David Mutiibwa
- Department of Surgery, Mbarara University of Science and Technology, Mbarara P.O. Box 1410, Uganda;
| | - Rocco Ricciardi
- Harvard Medical School, Harvard University, Boston, MA 02115, USA; (D.B.); (A.C.); (D.A.D.); (R.R.)
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA (A.I.)
| | - Gerald Tumusiime
- School of Medicine, Uganda Christian University, Mukono P.O. Box 4, Uganda;
| | - James C. Cusack
- Harvard Medical School, Harvard University, Boston, MA 02115, USA; (D.B.); (A.C.); (D.A.D.); (R.R.)
- Department of Surgery, Massachusetts General Hospital, Boston, MA 02114, USA (A.I.)
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Perneczky R, Dom G, Chan A, Falkai P, Bassetti C. Anti-amyloid antibody treatments for Alzheimer's disease. Eur J Neurol 2024; 31:e16049. [PMID: 37697714 DOI: 10.1111/ene.16049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 08/11/2023] [Accepted: 08/15/2023] [Indexed: 09/13/2023]
Abstract
Our aim is to review the most recent evidence on novel antibody therapies for Alzheimer's disease directed against amyloid-β. This is a joint statement of the European Association of Neurology and the European Psychiatric Association. After numerous unsuccessful endeavors to create a disease-modifying therapy for Alzheimer's disease, substantial and consistent evidence supporting the clinical effectiveness of monoclonal antibodies aimed at amyloid-β is finally emerging. The latest trials not only achieved their primary objective of slowing the progression of the disease over several months but also demonstrated positive secondary clinical outcomes and a decrease in amyloid-β levels as observed through positron emission tomography scans. Taken as a whole, these findings mark a significant breakthrough by substantiating that reducing amyloid-β yields tangible clinical benefits, beyond mere changes in biomarkers. Concurrently, the regular utilization of the new generation of drugs will determine whether statistical efficacy translates into clinically meaningful improvements. This may well signify the dawning of a new era in the development of drugs for Alzheimer's disease.
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Affiliation(s)
- Robert Perneczky
- Department of Psychiatry and Psychotherapy, LMU Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany
- Munich Cluster for System Neurology (SyNergy), Munich, Germany
- Sheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, UK
- Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK
| | - Geert Dom
- Faculty of Medicine and Social Sciences, University of Antwerp, Wilrijk, Belgium
- Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium
- European Psychiatric Association (EPA), Strasbourg, France
| | - Andrew Chan
- Department of Neurology, Inselspital, University of Bern, Bern, Switzerland
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, LMU Hospital, Ludwig-Maximilians-Universität Munich, Munich, Germany
- European Psychiatric Association (EPA), Strasbourg, France
- Max-Planck-Institute for Psychiatry, Munich, Germany
| | - Claudio Bassetti
- Department of Neurology, Inselspital, University of Bern, Bern, Switzerland
- European Academy of Neurology (EAN), Vienna, Austria
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Joly S, Augusto G, Mdzomba B, Meli I, Vogel M, Chan A, Pernet V. Nogo-A neutralization in the central nervous system with a blood-brain barrier-penetrating antibody. J Control Release 2024; 366:52-64. [PMID: 38154541 DOI: 10.1016/j.jconrel.2023.12.041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 11/26/2023] [Accepted: 12/24/2023] [Indexed: 12/30/2023]
Abstract
The poor penetration of monoclonal antibodies (mAb) across the blood-brain barrier (BBB) impedes the development of regenerative therapies for neurological diseases. For example, Nogo-A is a myelin-associated protein highly expressed in the central nervous system (CNS) whose inhibitory effects on neuronal plasticity can be neutralized with direct administration of 11C7 mAb in CNS tissues/fluids, but not with peripheral administrations such as intravenous injections. Therefore, in the present study, we engineered a CNS-penetrating antibody against Nogo-A by combining 11C7 mAb and the single-chain variable fragment (scFv) of 8D3, a rat antibody binding transferrin receptor 1 (TfR) and mediating BBB transcytosis (11C7-scFv8D3). The binding of 11C7-scFv8D3 to Nogo-A and to TfR/CD71 was validated by capture ELISA and Biolayer Interferometry. After intravenous injection in mice, capture ELISA measurements revealed fast plasma clearance of 11C7-scFv8D3 concomitantly with brain and spinal cord accumulation at levels up to 19 fold as high as those of original 11C7 mAb. 11C7-scFv8D3 detection in the parenchyma indicated effective blood-to-CNS transfer. A single dose of 11C7-scFv8D3 induced stronger activation of the growth-promoting AkT/mTOR/S6 signaling pathway than 11C7 mAb or control antibody. Taken together, our results show that BBB-crossing 11C7-scFv8D3 engages Nogo-A in the mouse CNS and stimulates neuronal growth mechanisms.
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Affiliation(s)
- Sandrine Joly
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland; Center for experimental neurology (ZEN), Bern University Hospital, University of Bern, Switzerland; Centre de recherche du CHU de Québec-Université Laval and Department of Molecular Medicine, Faculté de médecine, Université Laval, Québec, Québec, Canada; Department of Ophthalmology, Bern University Hospital, University of Bern, Switzerland; Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Gilles Augusto
- Department of Biomedical Research, University of Bern, Bern, Switzerland; Department of Immunology, Inselspital, Bern University Hospital, University of Bern, Switzerland; Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Baya Mdzomba
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland; Center for experimental neurology (ZEN), Bern University Hospital, University of Bern, Switzerland; Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Ivo Meli
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland; Center for experimental neurology (ZEN), Bern University Hospital, University of Bern, Switzerland; Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Monique Vogel
- Department of Biomedical Research, University of Bern, Bern, Switzerland; Department of Immunology, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland; Center for experimental neurology (ZEN), Bern University Hospital, University of Bern, Switzerland; Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Vincent Pernet
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland; Center for experimental neurology (ZEN), Bern University Hospital, University of Bern, Switzerland; Centre de recherche du CHU de Québec-Université Laval and Department of Molecular Medicine, Faculté de médecine, Université Laval, Québec, Québec, Canada; Department of Biomedical Research, University of Bern, Bern, Switzerland.
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Herrstedt J, Clark-Snow R, Ruhlmann CH, Molassiotis A, Olver I, Rapoport BL, Aapro M, Dennis K, Hesketh PJ, Navari RM, Schwartzberg L, Affronti ML, Garcia-Del-Barrio MA, Chan A, Celio L, Chow R, Fleury M, Gralla RJ, Giusti R, Jahn F, Iihara H, Maranzano E, Radhakrishnan V, Saito M, Sayegh P, Bosnjak S, Zhang L, Lee J, Ostwal V, Smit T, Zilic A, Jordan K, Scotté F. 2023 MASCC and ESMO guideline update for the prevention of chemotherapy- and radiotherapy-induced nausea and vomiting. ESMO Open 2024; 9:102195. [PMID: 38458657 PMCID: PMC10937211 DOI: 10.1016/j.esmoop.2023.102195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 11/06/2023] [Indexed: 03/10/2024] Open
Abstract
•Nausea and vomiting are considered amongst the most troublesome adverse events for patients receiving antineoplastics. •The guideline covers emetic risk classification, prevention and management of treatment-induced nausea and vomiting. •The Consensus Committee consisted of 34 multidisciplinary, health care professionals and three patient advocates. •Recommendations are based on evidence-based data (level of evidence) and the authors’ collective expert opinion (grade). •All recommendations are for the first course of antineoplastic therapy; modifications may be needed in subsequent courses.
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Affiliation(s)
- J Herrstedt
- Department of Clinical Oncology, Zealand University Hospital Roskilde and Naestved, Roskilde; Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - R Clark-Snow
- Oncology Supportive Care Consultant, Overland Park, USA
| | - C H Ruhlmann
- Department of Oncology, Odense University Hospital, Odense; Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - A Molassiotis
- College of Arts, Humanities and Education, University of Derby, Derby, UK
| | - I Olver
- Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, Australia
| | - B L Rapoport
- The Medical Oncology Centre of Rosebank, Johannesburg; Department of Immunology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - M Aapro
- Genolier Cancer Center, Genolier, Switzerland
| | - K Dennis
- Division of Radiation Oncology, The Ottawa Hospital and the University of Ottawa, Ottawa, Canada
| | - P J Hesketh
- Division of Hematology Oncology, Lahey Hospital and Medical Center, Burlington
| | | | - L Schwartzberg
- William N. Pennington Cancer Institute, University of Nevada, Reno School of Medicine, Reno
| | - M L Affronti
- Department of Neurosurgery, The Preston Robert Tisch Brain Tumor Center, Duke University Medical Center, Durham; Duke University School of Nursing, Duke University, Durham, USA
| | - M A Garcia-Del-Barrio
- Pharmacy Department, Clínica Universidad de Navarra, Madrid; School of Pharmacy and Nutrition, Universidad de Navarra, Pamplona, Spain
| | - A Chan
- Department of Clinical Pharmacy Practice, School of Pharmacy & Pharmaceutical Sciences, University of California Irvine, Irvine, USA
| | - L Celio
- Independent Medical Oncologist, Milan, Italy
| | - R Chow
- Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
| | - M Fleury
- Department of Oncology, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland
| | - R J Gralla
- Albert Einstein College of Medicine, Jacobi Medical Center, Bronx, USA
| | - R Giusti
- Medical Oncology Unit, Sant' Andrea Hospital of Rome, Rome, Italy
| | - F Jahn
- Clinic for Internal Medicine IV, Oncology - Hematology - Hemostaseology, University Hospital Halle (Saale), Halle, Germany
| | - H Iihara
- Department of Pharmacy, Gifu University Hospital, Gifu, Japan
| | | | - V Radhakrishnan
- Department of Medical Oncology, Cancer Institute (WIA), Adyar, Chennai, India
| | - M Saito
- Department of Breast Oncology, Juntendo University School of Medicine, Tokyo, Japan
| | - P Sayegh
- Department of Pharmacy, OU Health Stephenson Cancer Center, Oklahoma City, USA
| | - S Bosnjak
- Department of Supportive Oncology and Palliative Care, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia
| | - L Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - J Lee
- College of Nursing and Mo-Im Kim Nursing Research Institute, Yonsei University, Seoul, Korea
| | - V Ostwal
- Department of Medical Oncology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, India
| | - T Smit
- The Medical Oncology Centre of Rosebank, Johannesburg
| | - A Zilic
- Department of Supportive Oncology and Palliative Care, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia
| | - K Jordan
- Department of Hematology, Oncology and Palliative Medicine, Ernst von Bergmann Hospital, Potsdam; Department of Medicine V, Hematology, Oncology and Rheumatology, University of Heidelberg, Heidelberg, Germany
| | - F Scotté
- ∗Interdisciplinary Patient Pathway Division, Gustave Roussy, Villejuif, France.
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11
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Bagnoud M, Remlinger J, Joly S, Massy M, Salmen A, Chan A, Karathanassis D, Evangelopoulos M, Hoepner R. Predicting glucocorticoid resistance in multiple sclerosis relapse via a whole blood transcriptomic analysis. CNS Neurosci Ther 2024; 30:e14484. [PMID: 37817393 PMCID: PMC10848073 DOI: 10.1111/cns.14484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 08/30/2023] [Accepted: 09/20/2023] [Indexed: 10/12/2023] Open
Abstract
AIMS Treatment of multiple sclerosis (MS) relapses consists of short-term administration of high-dose glucocorticoids (GCs). However, over 40% of patients show an insufficient response to GC treatment. We aimed to develop a predictive model for such GC resistance. METHODS We performed a receiver operating characteristic (ROC) curve analysis following the transcriptomic assay of whole blood samples from stable, relapsing GC-sensitive and relapsing GC-resistant patients with MS in two different European centers. RESULTS We identified 12 genes being regulated during a relapse and differentially expressed between GC-sensitive and GC-resistant patients with MS. Using these genes, we defined a statistical model to predict GC resistance with an area under the curve (AUC) of the ROC analysis of 0.913. Furthermore, we observed that relapsing GC-resistant patients with MS have decreased GR, DUSP1, and TSC22D3 mRNA levels compared with relapsing GC-sensitive patients with MS. Finally, we showed that the transcriptome of relapsing GC-resistant patients with MS resembles those of stable patients with MS. CONCLUSION Predicting GC resistance would allow patients to benefit from prompt initiation of an alternative relapse treatment leading to increased treatment efficacy. Thus, we think our model could contribute to reducing disability development in people with MS.
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Affiliation(s)
- Maud Bagnoud
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
| | - Jana Remlinger
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
| | - Sandrine Joly
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
| | - Marine Massy
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
- Graduate School for Cellular and Biomedical SciencesUniversity of BernBernSwitzerland
| | - Anke Salmen
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
| | - Andrew Chan
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
| | - Dimitris Karathanassis
- Department of Neurology, Eginition HospitalNational and Kapodistrian University of AthensAthensGreece
| | | | - Robert Hoepner
- Department of NeurologyInselspital, Bern University Hospital, University of BernBernSwitzerland
- Department of Biomedical ResearchUniversity of BernBernSwitzerland
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12
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Ugwu CA, Alao O, John OG, Akinnawo B, Ajayi I, Odebode O, Bejide I, Campbell A, Campbell J, Adole JA, B. Olawoye I, Akano K, Okolie J, Eromon P, Olaitan P, Olagunoye A, Adebayo I, Adebayo V, Babalola E, Abioye O, Ajayi N, Ogah E, Ukwaja K, Okoro S, Oje O, Kingsley OC, Eke M, Onyia V, Achonduh-Atijegbe O, Ewah FE, Obasi M, Igwe V, Ayodeji O, Chukwuyem A, Owhin S, Oyejide N, Abah S, Ingbian W, Osoba M, Alebiosu A, Nadesalingam A, Aguinam ET, Carnell G, Krause N, Chan A, George C, Kinsley R, Tonks P, Temperton N, Heeney J, Happi C. Immunological insights into COVID-19 in Southern Nigeria. Front Immunol 2024; 15:1305586. [PMID: 38322252 PMCID: PMC10844438 DOI: 10.3389/fimmu.2024.1305586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Accepted: 01/04/2024] [Indexed: 02/08/2024] Open
Abstract
Introduction One of the unexpected outcomes of the COVID-19 pandemic was the relatively low levels of morbidity and mortality in Africa compared to the rest of the world. Nigeria, Africa's most populous nation, accounted for less than 0.01% of the global COVID-19 fatalities. The factors responsible for Nigeria's relatively low loss of life due to COVID-19 are unknown. Also, the correlates of protective immunity to SARS-CoV-2 and the impact of pre-existing immunity on the outcome of the COVID-19 pandemic in Africa are yet to be elucidated. Here, we evaluated the natural and vaccine-induced immune responses from vaccinated, non-vaccinated and convalescent individuals in Southern Nigeria throughout the three waves of the COVID-19 pandemic in Nigeria. We also examined the pre-existing immune responses to SARS-CoV-2 from samples collected prior to the COVID-19 pandemic. Methods We used spike RBD and N- IgG antibody ELISA to measure binding antibody responses, SARS-CoV-2 pseudotype assay protocol expressing the spike protein of different variants (D614G, Delta, Beta, Omicron BA1) to measure neutralizing antibody responses and nucleoprotein (N) and spike (S1, S2) direct ex vivo interferon gamma (IFNγ) T cell ELISpot to measure T cell responses. Result Our study demonstrated a similar magnitude of both binding (N-IgG (74% and 62%), S-RBD IgG (70% and 53%) and neutralizing (D614G (49% and 29%), Delta (56% and 47%), Beta (48% and 24%), Omicron BA1 (41% and 21%)) antibody responses from symptomatic and asymptomatic survivors in Nigeria. A similar magnitude was also seen among vaccinated participants. Interestingly, we revealed the presence of preexisting binding antibodies (N-IgG (60%) and S-RBD IgG (44%)) but no neutralizing antibodies from samples collected prior to the pandemic. Discussion These findings revealed that both vaccinated, non-vaccinated and convalescent individuals in Southern Nigeria make similar magnitude of both binding and cross-reactive neutralizing antibody responses. It supported the presence of preexisting binding antibody responses among some Nigerians prior to the COVID-19 pandemic. Lastly, hybrid immunity and heterologous vaccine boosting induced the strongest binding and broadly neutralizing antibody responses compared to vaccine or infection-acquired immunity alone.
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Affiliation(s)
- Chinedu A. Ugwu
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Oluwasina Alao
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Oluwagboadurami G. John
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Blossom Akinnawo
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Israel Ajayi
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Ooreofe Odebode
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Ifeoluwa Bejide
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Allan Campbell
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Julian Campbell
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Jolly A. Adole
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Idowu B. Olawoye
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Kazeem Akano
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
| | - Johnson Okolie
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | - Philomena Eromon
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | - Peter Olaitan
- Osun State University Teaching Hospital (UNIOSUNTH), Osogbo, Nigeria
| | - Ajibola Olagunoye
- Osun State University Teaching Hospital (UNIOSUNTH), Osogbo, Nigeria
| | - Ibukun Adebayo
- Osun State University Teaching Hospital (UNIOSUNTH), Osogbo, Nigeria
| | - Victor Adebayo
- Osun State University Teaching Hospital (UNIOSUNTH), Osogbo, Nigeria
| | | | - Omowumi Abioye
- Osun State University Teaching Hospital (UNIOSUNTH), Osogbo, Nigeria
| | - Nnennaya Ajayi
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Emeka Ogah
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Kingsley Ukwaja
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Sylvanus Okoro
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Ogbonnaya Oje
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | | | - Matthew Eke
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Venatius Onyia
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Olivia Achonduh-Atijegbe
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | - Friday Elechi Ewah
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Mary Obasi
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | - Violet Igwe
- Alex Ekwueme Federal University Teaching Hospital Abakaliki (AEFUTHA), Abakaliki, Nigeria
| | | | | | | | - Nicholas Oyejide
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | | | - Winifred Ingbian
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | - Moyosoore Osoba
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | - Ahmed Alebiosu
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
| | - Angalee Nadesalingam
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Ernest T. Aguinam
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - George Carnell
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Nina Krause
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Andrew Chan
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Charlotte George
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Rebecca Kinsley
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Paul Tonks
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Nigel Temperton
- Viral Pseudotype Unit, Medway School of Pharmacy, The Universities of Greenwich and Kent, Kent, United Kingdom
| | - Jonathan Heeney
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Christian Happi
- The Africa Centre of Excellence for Genomics of Infectious Diseases (ACEGID), Redeemer’s University, Ede, Osun, Nigeria
- Department of Biological Sciences, Faculty of Natural Sciences, Redeemer’s University, Ede, Osun, Nigeria
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13
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Cagol A, Benkert P, Melie-Garcia L, Schaedelin SA, Leber S, Tsagkas C, Barakovic M, Galbusera R, Lu PJ, Weigel M, Ruberte E, Radue EW, Yaldizli Ö, Oechtering J, Lorscheider J, D'Souza M, Fischer-Barnicol B, Müller S, Achtnichts L, Vehoff J, Disanto G, Findling O, Chan A, Salmen A, Pot C, Bridel C, Zecca C, Derfuss T, Lieb JM, Remonda L, Wagner F, Vargas MI, Du Pasquier RA, Lalive PH, Pravatà E, Weber J, Cattin PC, Absinta M, Gobbi C, Leppert D, Kappos L, Kuhle J, Granziera C. Association of Spinal Cord Atrophy and Brain Paramagnetic Rim Lesions With Progression Independent of Relapse Activity in People With MS. Neurology 2024; 102:e207768. [PMID: 38165377 PMCID: PMC10834139 DOI: 10.1212/wnl.0000000000207768] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 09/18/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Progression independent of relapse activity (PIRA) is a crucial determinant of overall disability accumulation in multiple sclerosis (MS). Accelerated brain atrophy has been shown in patients experiencing PIRA. In this study, we assessed the relation between PIRA and neurodegenerative processes reflected by (1) longitudinal spinal cord atrophy and (2) brain paramagnetic rim lesions (PRLs). Besides, the same relationship was investigated in progressive MS (PMS). Last, we explored the value of cross-sectional brain and spinal cord volumetric measurements in predicting PIRA. METHODS From an ongoing multicentric cohort study, we selected patients with MS with (1) availability of a susceptibility-based MRI scan and (2) regular clinical and conventional MRI follow-up in the 4 years before the susceptibility-based MRI. Comparisons in spinal cord atrophy rates (explored with linear mixed-effect models) and PRL count (explored with negative binomial regression models) were performed between: (1) relapsing-remitting (RRMS) and PMS phenotypes and (2) patients experiencing PIRA and patients without confirmed disability accumulation (CDA) during follow-up (both considering the entire cohort and the subgroup of patients with RRMS). Associations between baseline MRI volumetric measurements and time to PIRA were explored with multivariable Cox regression analyses. RESULTS In total, 445 patients with MS (64.9% female; mean [SD] age at baseline 45.0 [11.4] years; 11.2% with PMS) were enrolled. Compared with patients with RRMS, those with PMS had accelerated cervical cord atrophy (mean difference in annual percentage volume change [MD-APC] -1.41; p = 0.004) and higher PRL load (incidence rate ratio [IRR] 1.93; p = 0.005). Increased spinal cord atrophy (MD-APC -1.39; p = 0.0008) and PRL burden (IRR 1.95; p = 0.0008) were measured in patients with PIRA compared with patients without CDA; such differences were also confirmed when restricting the analysis to patients with RRMS. Baseline volumetric measurements of the cervical cord, whole brain, and cerebral cortex significantly predicted time to PIRA (all p ≤ 0.002). DISCUSSION Our results show that PIRA is associated with both increased spinal cord atrophy and PRL burden, and this association is evident also in patients with RRMS. These findings further point to the need to develop targeted treatment strategies for PIRA to prevent irreversible neuroaxonal loss and optimize long-term outcomes of patients with MS.
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Affiliation(s)
- Alessandro Cagol
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Pascal Benkert
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Lester Melie-Garcia
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Sabine A Schaedelin
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Selina Leber
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Charidimos Tsagkas
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Muhamed Barakovic
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Riccardo Galbusera
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Po-Jui Lu
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Matthias Weigel
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Esther Ruberte
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Ernst-Wilhelm Radue
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Özgür Yaldizli
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Johanna Oechtering
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Johannes Lorscheider
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Marcus D'Souza
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Bettina Fischer-Barnicol
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Stefanie Müller
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Lutz Achtnichts
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Jochen Vehoff
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Giulio Disanto
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Oliver Findling
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Andrew Chan
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Anke Salmen
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Caroline Pot
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Claire Bridel
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Chiara Zecca
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Tobias Derfuss
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Johanna M Lieb
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Luca Remonda
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Franca Wagner
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Maria Isabel Vargas
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Renaud A Du Pasquier
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Patrice H Lalive
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Emanuele Pravatà
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Johannes Weber
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Philippe C Cattin
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Martina Absinta
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Claudio Gobbi
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - David Leppert
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Ludwig Kappos
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Jens Kuhle
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
| | - Cristina Granziera
- From Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine (A. Cagol, L.M.-G., S.L., C.T., M.B., R.G., P.-J.L., M.W., E.R., E.-W.R., Ö.Y., L.K., C. Granziera), Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) (A. Cagol, L.M.-G., C.T., M.B., R.G., P.-J.L., M.W., E.R.,O.Y., J.O., J.L., M.D.S., B.F.-B., T.D., D.L., L.K., J.K., C. Granziera), Department of Clinical Research (P.B., S.A.S.), Division of Radiological Physics, Department of Radiology (M.W.), and Division of Diagnostic and Interventional Neuroradiology, Clinic for Radiology and Nuclear Medicine (J.M.L.), University Hospital Basel, University of Basel, Switzerland; Translational Neuroradiology Section (C.T), National Institute of Neurological Disorders and Stroke, National Institutes of Health (NIH), Bethesda, MD; Medical Image Analysis Center (MIAC) and Quantitative Biomedical Imaging Group (qbig), Department of Biomedical Engineering (E.R., P.C.C.), University Basel; Departments of Neurology (S.M., J.V.) and Radiology (J.W.), Cantonal Hospital St. Gallen; Departments of Neurology (L.A., O.F.) and Radiology (L.R.), Cantonal Hospital Aarau; Departments of Neurology (G.D., C.Z., C.G.) and Neuroradiology (E.P.), Neurocenter of Southern Switzerland, Lugano; Departments of Neurology, Inselspital (A. Chan, A.S.), and Diagnostic and Interventional Neuroradiology, Inselspital (F.W.) Bern University Hospital and University of Bern; Departments of Clinical Neurosciences, Division of Neurology (C.P., R.A.D.P.), and Radiology (R.A.D.P.) Lausanne University Hospital and University of Lausanne; Department of Clinical Neurosciences, Division of Neurology (C.B., P.H.L.), and Radiology (M.I.V.) Geneva University Hospitals and Faculty of Medicine; Faculty of Biomedical Sciences (C.Z.), Università della Svizzera Italiana, Lugano, Switzerland; Institute of Experimental Neurology, Division of Neuroscience (M.A.); Vita-Salute San Raffaele University and Hospital, Milan, Italy
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14
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Wiendl H, Abicht A, Chan A, Della Marina A, Hagenacker T, Hekmat K, Hoffmann S, Hoffmann HS, Jander S, Keller C, Marx A, Melms A, Melzer N, Müller-Felber W, Pawlitzki M, Rückert JC, Schneider-Gold C, Schoser B, Schreiner B, Schroeter M, Schubert B, Sieb JP, Zimprich F, Meisel A. Guideline for the management of myasthenic syndromes. Ther Adv Neurol Disord 2023; 16:17562864231213240. [PMID: 38152089 PMCID: PMC10752078 DOI: 10.1177/17562864231213240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 10/23/2023] [Indexed: 12/29/2023] Open
Abstract
Myasthenia gravis (MG), Lambert-Eaton myasthenic syndrome (LEMS), and congenital myasthenic syndromes (CMS) represent an etiologically heterogeneous group of (very) rare chronic diseases. MG and LEMS have an autoimmune-mediated etiology, while CMS are genetic disorders. A (strain dependent) muscle weakness due to neuromuscular transmission disorder is a common feature. Generalized MG requires increasingly differentiated therapeutic strategies that consider the enormous therapeutic developments of recent years. To include the newest therapy recommendations, a comprehensive update of the available German-language guideline 'Diagnostics and therapy of myasthenic syndromes' has been published by the German Neurological society with the aid of an interdisciplinary expert panel. This paper is an adapted translation of the updated and partly newly developed treatment guideline. It defines the rapid achievement of complete disease control in myasthenic patients as a central treatment goal. The use of standard therapies, as well as modern immunotherapeutics, is subject to a staged regimen that takes into account autoantibody status and disease activity. With the advent of modern, fast-acting immunomodulators, disease activity assessment has become pivotal and requires evaluation of the clinical course, including severity and required therapies. Applying MG-specific scores and classifications such as Myasthenia Gravis Activities of Daily Living, Quantitative Myasthenia Gravis, and Myasthenia Gravis Foundation of America allows differentiation between mild/moderate and (highly) active (including refractory) disease. Therapy decisions must consider age, thymic pathology, antibody status, and disease activity. Glucocorticosteroids and the classical immunosuppressants (primarily azathioprine) are the basic immunotherapeutics to treat mild/moderate to (highly) active generalized MG/young MG and ocular MG. Thymectomy is indicated as a treatment for thymoma-associated MG and generalized MG with acetylcholine receptor antibody (AChR-Ab)-positive status. In (highly) active generalized MG, complement inhibitors (currently eculizumab and ravulizumab) or neonatal Fc receptor modulators (currently efgartigimod) are recommended for AChR-Ab-positive status and rituximab for muscle-specific receptor tyrosine kinase (MuSK)-Ab-positive status. Specific treatment for myasthenic crises requires plasmapheresis, immunoadsorption, or IVIG. Specific aspects of ocular, juvenile, and congenital myasthenia are highlighted. The guideline will be further developed based on new study results for other immunomodulators and biomarkers that aid the accurate measurement of disease activity.
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Affiliation(s)
- Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Albert-Schweitzer-Campus 1, Building A1, Münster 48149, Germany
| | - Angela Abicht
- Friedrich-Baur-Institut an der Neurologischen Klinik und Poliklinik, LMU Munich, Munich, Germany
| | - Andrew Chan
- Universitätsklinik für Neurologie, Inselspital Bern, Bern, Switzerland
| | - Adela Della Marina
- Klinik für Kinderheilkunde I, Universitätsklinikum Essen, Essen, Germany
| | - Tim Hagenacker
- Klinik für Neurologie, Universitätsklinikum Essen, Essen, Germany
| | | | - Sarah Hoffmann
- Charité – Universitätsmedizin Berlin, Klinik für Neurologie mit Experimenteller Neurologie, Berlin, Germany
| | | | - Sebastian Jander
- Klinik für Neurologie, Marien Hospital Düsseldorf, Düsseldorf, Germany
| | - Christian Keller
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Alexander Marx
- Pathologisches Institut, Universitätsklinikum Mannheim, Mannheim, Germany
| | - Arthur Melms
- Facharztpraxis für Neurologie und Psychiatrie, Stuttgart, Germany
| | - Nico Melzer
- Klinik für Neurologie, Universitätsklinikum Düsseldorf, Düsseldorf, Germany
| | - Wolfgang Müller-Felber
- Kinderklinik und Kinderpoliklinik im Dr. von Haunerschen Kinderspital, LMU Munich, Munich, Germany
| | - Marc Pawlitzki
- Klinik für Neurologie, Universitätsklinikum Düsseldorf, Düsseldorf, Germany
| | | | | | - Benedikt Schoser
- Friedrich-Baur-Institut an der Neurologischen Klinik und Poliklinik, LMU Munich, Munich, Germany
| | - Bettina Schreiner
- Klinik für Neurologie, Universitätsspital Zürich, Zürich, Switzerland
| | - Michael Schroeter
- Klinik und Poliklinik für Neurologie, Uniklinik Cologne, Cologne, Germany
| | | | | | - Fritz Zimprich
- Universitätsklinik für Neurologie, AKH-Wien, Wien, Austria
| | - Andreas Meisel
- Charité – Universitätsmedizin Berlin, Klinik für Neurologie mit Experimenteller Neurologie, Berlin, Germany
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15
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Herrstedt J, Celio L, Hesketh PJ, Zhang L, Navari R, Chan A, Saito M, Chow R, Aapro M. 2023 updated MASCC/ESMO consensus recommendations: prevention of nausea and vomiting following high-emetic-risk antineoplastic agents. Support Care Cancer 2023; 32:47. [PMID: 38127246 PMCID: PMC10739516 DOI: 10.1007/s00520-023-08221-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
PURPOSE This systematic review updates the MASCC/ESMO recommendations for high-emetic-risk chemotherapy (HEC) published in 2016-2017. HEC still includes cisplatin, carmustine, dacarbazine, mechlorethamine, streptozocin, and cyclophosphamide in doses of > 1500 mg/m2 and the combination of cyclophosphamide and an anthracycline (AC) in women with breast cancer. METHODS A systematic review report following the PRISMA guidelines of the literature from January 1, 2015, until February 1, 2023, was performed. PubMed (Ovid), Scopus (Google), and the Cochrane Database of Systematic Reviews were searched. The literature search was limited to randomized controlled trials, systematic reviews, and meta-analyses. RESULTS Forty-six new references were determined to be relevant. The main topics identified were (1) steroid-sparing regimens, (2) olanzapine-containing regimens, and (3) other issues such as comparisons of antiemetics of the same drug class, intravenous NK1 receptor antagonists, and potentially new antiemetics. Five updated recommendations are presented. CONCLUSION There is no need to prescribe steroids (dexamethasone) beyond day 1 after AC HEC, whereas a 4-day regimen is recommended in non-AC HEC. Olanzapine is now recommended as a fixed part of a four-drug prophylactic antiemetic regimen in both non-AC and AC HEC. No major differences between 5-HT3 receptor antagonists or between NK1 receptor antagonists were identified. No new antiemetic agents qualified for inclusion in the updated recommendations.
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Affiliation(s)
- Jørn Herrstedt
- Department of Clinical Oncology, Zealand University Hospital, Sygehusvej 10, DK-4000, Roskilde, Denmark.
- Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
| | | | - P J Hesketh
- Division of Hematology Oncology, Lahey Hospital and Medical Center, Burlington, MA, USA
| | - L Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - R Navari
- World Health Organization, Birmingham, Alabama, USA
| | - A Chan
- Department of Clinical Pharmacy Practice, School of Pharmacy & Pharmaceutical Sciences, University of California Irvine, Irvine, CA, USA
| | - M Saito
- Department of Breast Oncology, Juntendo University School of Medicine, Tokyo, Japan
| | - R Chow
- Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - M Aapro
- Genolier Cancer Center, Genolier, Switzerland
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16
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Hu Y, Li J, Wang B, Zhu L, Li Y, Ivey KL, Lee KH, Eliassen AH, Chan A, Huttenhower C, Hu FB, Qi Q, Rimm EB, Sun Q. Interplay between diet, circulating indolepropionate concentrations and cardiometabolic health in US populations. Gut 2023; 72:2260-2271. [PMID: 37739776 PMCID: PMC10841831 DOI: 10.1136/gutjnl-2023-330410] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 08/23/2023] [Indexed: 09/24/2023]
Abstract
OBJECTIVES To identify indolepropionate (IPA)-predicting gut microbiota species, investigate potential diet-microbiota interactions, and examine the prospective associations of circulating IPA concentrations with type 2 diabetes (T2D) and coronary heart disease (CHD) risk in free-living individuals. DESIGN We included 287 men from the Men's Lifestyle Validation Study, a substudy of the Health Professionals Follow-Up Study (HPFS), who provided up to two pairs of faecal samples and two blood samples. Diet was assessed using 7-day diet records. Associations between plasma concentrations of tryptophan metabolites and T2D CHD risk were examined in 13 032 participants from Nurses' Health Study (NHS), NHSII and HPFS. RESULTS We identified 17 microbial species whose abundance was significantly associated with plasma IPA concentrations. A significant association between higher tryptophan intake and higher IPA concentrations was only observed among men who had higher fibre intake and a higher microbial species score consisting of the 17 species (p-interaction<0.01). Dietary and plasma concentrations of tryptophan and most kynurenine pathway metabolites were positively associated with T2D risk (HRQ5 vs Q1 ranged from 1.17 to 1.46) while a significant inverse association was found for IPA (HRQ5 vs Q1 (95% CI) 0.70 (0.56 to 0.88)). No associations were found in CHD for any plasma tryptophan metabolites. CONCLUSIONS Specific microbial species and dietary fibre jointly predicted significantly higher circulating IPA concentrations at higher tryptophan intake. Dietary and plasma tryptophan, as well as its kynurenine pathway metabolites, demonstrated divergent associations from those for IPA, which was significantly predictive of lower risk of T2D.
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Affiliation(s)
- Yang Hu
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Jun Li
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Biqi Wang
- Department of Medicine, UMASS Medical School, Worcester, Massachusetts, USA
| | - Lu Zhu
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Yanping Li
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Kerry L Ivey
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Kyu Ha Lee
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Department of Biostatistics, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - A Heather Eliassen
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew Chan
- Clinical and Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Immunology and Infectious Diseases, Harvard University T. H. Chan School of Public Health, Boston, Boston, Massachusetts, USA
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Immunology and Infectious Diseases, Harvard University T. H. Chan School of Public Health, Boston, Boston, Massachusetts, USA
- Eli and Edythe L. Broad Institute of Harvard and MIT, Flinders University College of Nursing and Health Sciences, Cambridge, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Yeshiva University Albert Einstein College of Medicine, Bronx, New York, USA
| | - Eric B Rimm
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Qi Sun
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Department of Epidemiology, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
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17
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Marti S, Hoepner AGF, Hammer H, Salmen A, Chan A, Hoepner R. Socioeconomic and Regional Disparities in Industry-Sponsored Clinical Trials in Multiple Sclerosis. JAMA Netw Open 2023; 6:e2345619. [PMID: 38019519 PMCID: PMC10687656 DOI: 10.1001/jamanetworkopen.2023.45619] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 10/19/2023] [Indexed: 11/30/2023] Open
Abstract
This cross-sectional study examines the geographical and socioeconomic factors associated with trial distribution and outcome of treatment for multiple sclerosis (MS).
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Affiliation(s)
- Stefanie Marti
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andreas G. F. Hoepner
- Department of Banking and Finance, Michael Smurfit Graduate Business School, University College Dublin, Dublin, Ireland
| | - Helly Hammer
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Anke Salmen
- Department of Neurology, St Josef-Hospital Bochum, Ruhr-University Bochum, Bochum, Germany
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Robert Hoepner
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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18
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Hoang T, Sutera P, Nguyen T, Chang JH, Jagtap S, Song Y, Shetty A, Chowdhury DD, Chan A, Carrieri FAA, Song D, DeWeese TL, Lafargue A, Van der Eecken K, Bunz F, Ost P, Tran PT, Deek MP. The Impact of TP53 Mutations and Use of the TP53-Mutation-Reactivating Agent APR-246 on Metastatic Castrate-Sensitive Prostate Cancer. Int J Radiat Oncol Biol Phys 2023; 117:e443. [PMID: 37785435 DOI: 10.1016/j.ijrobp.2023.06.1621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
PURPOSE/OBJECTIVE(S) TP53 mutations appear to be enriched over the spectrum of metastatic castration-sensitive prostate cancer (mCSPC) and are associated with worse survival outcomes. We chose to further explore the impact of dominant negative (DN) TP53 mutations on mCSPC progression and pro-metastatic behaviors in addition to studying the ability of APR-246, a small molecule targeting TP53 mutants, to blunt pro-metastatic behaviors. MATERIALS/METHODS We retrospectively analyzed 531 mCSPC patients who underwent next-generation sequencing. Patients were stratified by metastasis timing (synchronous if metastasis present at diagnosis or metachronous if arising after definitive treatment of localized disease) and the number of metastatic lesions (oligometastatic ≤5 or polymetastatic >5 lesions). Tumors were classified based on TP53 mutation status (missense, truncating, or wild-type [WT]) and dominant negativity, which was defined as the production of a mutant protein that reduces the residual WT protein's transcriptional activity according to the World Health Organization TP53 database. Clinical outcomes were radiographic progression-free survival (rPFS) and overall survival (OS), evaluated with Kaplan-Meier and multivariable Cox regression. To verify the impact of TP53 mutation on metastasis, we created isogenic 22Rv1 prostate cancer cell lines that carried either TP53 WT or TP53 R175H and tested this mutation for migration, invasion, and anchorage-independent growth. APR-246 (25-80 µM) was tested for anti-metastatic properties in vitro and anti-tumor growth in 22Rv1 xenografted nude mice. RESULTS In our cohort, 155 (29.2%) had a TP53 mutation, which mostly occurred in the DNA-binding domain (85.16%). DN TP53 mutations were associated with more aggressive disease states: DN TP53 mutations were enriched in patients with synchronous (vs. metachronous: 20.7% vs. 6.3%, p < 0.01) and polymetastatic disease (vs. oligometastatic: 14.4% vs. 7.9%, p < 0.01). On multivariable analysis, DN TP53 mutations were correlated with shorter rPFS (HR = 1.97, 95% CI: 1.31-2.98, p < 0.01) and OS (HR = 2.05, 95% CI: 1.14-3.68, p = 0.02) compared to those with TP53 WT. In vitro, 22Rv1 cells with DN TP53 R175H mutation had increased abilities to migrate, invade, and form colonies compared to TP53 WT. APR-246 treatment of TP53 R175H mutants blunted the pro-metastatic effects of the cell line in vitro (p < 0.01 for all assays by unpaired t-test). Interestingly, APR-246 also inhibited xenograft tumor growth of 22Rv1 TP53 R175H mutants (p < 0.0001 by two-way ANOVA). CONCLUSION DN TP53 mutations were associated with poorer survival outcomes for mCSPC patients. DN TP53 mutations also promoted prostate cancer pro-metastatic behaviors in vitro, which was effectively counteracted by APR-246, making it a promising treatment option that should be explored further in early-phase clinical studies.
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Affiliation(s)
- T Hoang
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - P Sutera
- Johns Hopkins University School of Medicine, Baltimore, MD
| | - T Nguyen
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - J H Chang
- University of Maryland, Baltimore, MD
| | - S Jagtap
- University of Maryland, Baltimore, MD
| | - Y Song
- University of Maryland, Baltimore, MD
| | - A Shetty
- University of Maryland, Baltimore, MD
| | | | - A Chan
- University of Maryland, Baltimore, MD
| | | | - D Song
- Johns Hopkins University School of Medicine, Department of Radiation Oncology and Molecular Radiation Sciences, Baltimore, MD
| | - T L DeWeese
- Johns Hopkins University School of Medicine, Department of Radiation Oncology and Molecular Radiation Sciences, Baltimore, MD
| | - A Lafargue
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | | | - F Bunz
- Johns Hopkins Medicine, Baltimore, MD, United States
| | - P Ost
- Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium
| | - P T Tran
- Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD
| | - M P Deek
- Rutgers Cancer Institute of New Jersey, Department of Radiation Oncology, New Brunswick, NJ
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19
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Hauser SL, Kappos L, Bar-Or A, Wiendl H, Paling D, Williams M, Gold R, Chan A, Milo R, Das Gupta A, Karlsson G, Sullivan R, Graham G, Merschhemke M, Häring DA, Vermersch P. The Development of Ofatumumab, a Fully Human Anti-CD20 Monoclonal Antibody for Practical Use in Relapsing Multiple Sclerosis Treatment. Neurol Ther 2023; 12:1491-1515. [PMID: 37450172 PMCID: PMC10444716 DOI: 10.1007/s40120-023-00518-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 06/14/2023] [Indexed: 07/18/2023] Open
Abstract
The importance of B cells in multiple sclerosis (MS) has been demonstrated through the advent of B-cell-depleting anti-CD20 antibody therapies. Ofatumumab is the first fully human anti-CD20 monoclonal antibody (mAb) developed and tested for subcutaneous (SC) self-administration at monthly doses of 20 mg, and has been approved in the US, UK, EU, and other regions and countries worldwide for the treatment of relapsing MS. The development goal of ofatumumab was to obtain a highly efficacious anti-CD20 therapy, with a safety and tolerability profile that allows for self-administration by MS patients at home and a positive benefit-risk balance for use in the broad relapsing MS population. This development goal was enabled by the unique binding site, higher affinity to B cells, and higher potency of ofatumumab compared to previous anti-CD20 mAbs; these properties of ofatumumab facilitate rapid B-cell depletion and maintenance with a low dose at a low injection volume (20 mg/0.4 ml). The high potency in turn enables the selective targeting of B cells that reside in the lymphatic system via subcutaneous (SC) administration. Through a comprehensive dose-finding program in two phase 2 studies (one intravenous and one SC) and model simulations, it was found that safety and tolerability can be further improved, and the risk of systemic injection-related reactions (IRRs) minimized, by avoiding doses ≥ 30 mg, and by reaching initial and rapid B-cell depletion via stepwise weekly administration of ofatumumab at Weeks 0, 1, and 2 (instead of a single high dose). Once near-complete B-cell depletion is reached, it can be maintained by monthly doses of 20 mg/0.4 ml. Indeed, in phase 3 trials (ASCLEPIOS I/II), rapid and sustained near-complete B-cell depletion (largely independent of body weight, race and other factors) was observed with this dosing regimen, which resulted in superior efficacy of ofatumumab versus teriflunomide on relapse rates, disability worsening, neuronal injury (serum neurofilament light chain), and imaging outcomes. Likely due to its fully human nature, ofatumumab has a low immunogenic risk profile-only 2 of 914 patients receiving ofatumumab in ASCLEPIOS I/II developed anti-drug antibodies-and this may also underlie the infrequent IRRs (20% with ofatumumab vs. 15% with the placebo injection in the teriflunomide arm) that were mostly (99.8%) mild to moderate in severity. The overall rates of infections and serious infections in patients treated with ofatumumab were similar to those in patients treated with teriflunomide (51.6% vs. 52.7% and 2.5% vs. 1.8%, respectively). The benefit-risk profile of ofatumumab was favorable compared to teriflunomide in the broad RMS population, and also in the predefined subgroups of both recently diagnosed and/or treatment-naïve patients, as well as previously disease-modifying therapy-treated patients. Interim data from the ongoing extension study (ALITHIOS) have shown that long-term treatment with ofatumumab up to 4 years is well-tolerated in RMS patients, with no new safety risks identified. In parallel to the phase 3 trials in which SC administration was carried out with a pre-filled syringe, an autoinjector pen for more convenient self-administration of the ofatumumab 20 mg dose was developed and is available for use in clinical practice.
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Affiliation(s)
- Stephen L Hauser
- UCSF Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA.
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) and MS Center, and Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital of Basel, University of Basel, Basel, Switzerland
| | - Amit Bar-Or
- Center for Neuroinflammation and Experimental Therapeutics and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - David Paling
- Sheffield Institute of Translational Neuroscience, Sheffield Teaching Hospital NHS Foundation Trust, Sheffield, UK
| | - Mitzi Williams
- Joi Life Wellness Multiple Sclerosis Neurology Center, Atlanta, GA, USA
| | - Ralf Gold
- Department of Neurology, St Josef-Hospital/Ruhr-University Bochum, Bochum, Germany
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Ron Milo
- Department of Neurology, Barzilai Medical Center, Ashkelon/Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
| | | | | | | | | | | | | | - Patrick Vermersch
- Univ. Lille, INSERM U1172 LilNCog, CHU Lille, FHU Precise, 59000, Lille, France
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20
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Remlinger J, Bagnoud M, Meli I, Massy M, Linington C, Chan A, Bennett JL, Hoepner R, Enzmann V, Salmen A. Modelling MOG antibody-associated disorder and neuromyelitis optica spectrum disorder in animal models: Spinal cord manifestations. Mult Scler Relat Disord 2023; 78:104892. [PMID: 37499337 DOI: 10.1016/j.msard.2023.104892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/18/2023] [Accepted: 07/13/2023] [Indexed: 07/29/2023]
Abstract
Antibodies to myelin oligodendrocyte glycoprotein (MOG-IgG) or aquaporin 4 (AQP4-IgG) are associated with CNS inflammatory disorders. We directly compared MOG35-55-induced experimental autoimmune encephalomyelitis exacerbated by MOG- and AQP4-IgG (versus isotype IgG, Iso-IgG). Disease severity was highest after MOG-IgG application. MOG- and AQP4-IgG administration increased disease incidence compared to Iso-IgG. Inflammatory lesions appeared earlier and with distinct localizations after AQP4-IgG administration. AQP4 intensity was more reduced after AQP4- than MOG-IgG administration at acute disease phase. The described models are suitable for comparative analyses of pathological features associated with MOG- and AQP4-IgG and the investigation of therapeutic interventions.
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Affiliation(s)
- Jana Remlinger
- Department of Neurology, Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Bern, 3010, Switzerland; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, 3010, Switzerland
| | - Maud Bagnoud
- Department of Neurology, Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Bern, 3010, Switzerland
| | - Ivo Meli
- Department of Neurology, Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Bern, 3010, Switzerland
| | - Marine Massy
- Department of Neurology, Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Bern, 3010, Switzerland; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, 3010, Switzerland
| | - Christopher Linington
- Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, G12 8TA, UK
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Bern, 3010, Switzerland
| | - Jeffrey L Bennett
- Departments of Neurology and Ophthalmology, Programs in Neuroscience and Immunology, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, United States of America
| | - Robert Hoepner
- Department of Neurology, Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Bern, 3010, Switzerland
| | - Volker Enzmann
- Department of Ophthalmology, Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Bern, 3010, Switzerland
| | - Anke Salmen
- Department of Neurology, Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Bern, 3010, Switzerland.
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21
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Faust TE, Feinberg PA, O'Connor C, Kawaguchi R, Chan A, Strasburger H, Frosch M, Boyle MA, Masuda T, Amann L, Knobeloch KP, Prinz M, Schaefer A, Schafer DP. A comparative analysis of microglial inducible Cre lines. Cell Rep 2023; 42:113031. [PMID: 37635351 PMCID: PMC10591718 DOI: 10.1016/j.celrep.2023.113031] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 07/12/2023] [Accepted: 08/09/2023] [Indexed: 08/29/2023] Open
Abstract
Cre/loxP technology has revolutionized genetic studies and allowed for spatial and temporal control of gene expression in specific cell types. Microglial biology has particularly benefited because microglia historically have been difficult to transduce with virus or electroporation methods for gene delivery. Here, we investigate five of the most widely available microglial inducible Cre lines. We demonstrate varying degrees of recombination efficiency, cell-type specificity, and spontaneous recombination, depending on the Cre line and inter-loxP distance. We also establish best practice guidelines and protocols to measure recombination efficiency, particularly in microglia. There is increasing evidence that microglia are key regulators of neural circuits and major drivers of a broad range of neurological diseases. Reliable manipulation of their function in vivo is of utmost importance. Identifying caveats and benefits of all tools and implementing the most rigorous protocols are crucial to the growth of the field and the development of microglia-based therapeutics.
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Affiliation(s)
- Travis E Faust
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Philip A Feinberg
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Ciara O'Connor
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Riki Kawaguchi
- Department of Psychiatry and Neurology, UCLA, Los Angeles, CA 90095, USA
| | - Andrew Chan
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Hayley Strasburger
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Maximilian Frosch
- Institute of Neuropathology, Medical Faculty, University of Freiburg, 79106 Freiburg, Germany
| | - Margaret A Boyle
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Takahiro Masuda
- Institute of Neuropathology, Medical Faculty, University of Freiburg, 79106 Freiburg, Germany; Division of Molecular Neuroimmunology, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
| | - Lukas Amann
- Institute of Neuropathology, Medical Faculty, University of Freiburg, 79106 Freiburg, Germany
| | - Klaus-Peter Knobeloch
- Institute of Neuropathology, Medical Faculty, University of Freiburg, 79106 Freiburg, Germany; Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104 Freiburg, Germany
| | - Marco Prinz
- Institute of Neuropathology, Medical Faculty, University of Freiburg, 79106 Freiburg, Germany; Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany; Signalling Research Centres BIOSS and CIBSS, University of Freiburg, 79104 Freiburg, Germany
| | - Anne Schaefer
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Max Planck Institute for Biology of Ageing, 50931 Cologne, Germany
| | - Dorothy P Schafer
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
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22
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Vishwanath S, Carnell GW, Ferrari M, Asbach B, Billmeier M, George C, Sans MS, Nadesalingam A, Huang CQ, Paloniemi M, Stewart H, Chan A, Wells DA, Neckermann P, Peterhoff D, Einhauser S, Cantoni D, Neto MM, Jordan I, Sandig V, Tonks P, Temperton N, Frost S, Sohr K, Ballesteros MTL, Arbabi F, Geiger J, Dohmen C, Plank C, Kinsley R, Wagner R, Heeney JL. A computationally designed antigen eliciting broad humoral responses against SARS-CoV-2 and related sarbecoviruses. Nat Biomed Eng 2023:10.1038/s41551-023-01094-2. [PMID: 37749309 DOI: 10.1038/s41551-023-01094-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 08/23/2023] [Indexed: 09/27/2023]
Abstract
The threat of spillovers of coronaviruses associated with the severe acute respiratory syndrome (SARS) from animals to humans necessitates vaccines that offer broader protection from sarbecoviruses. By leveraging a viral-genome-informed computational method for selecting immune-optimized and structurally engineered antigens, here we show that a single antigen based on the receptor binding domain of the spike protein of sarbecoviruses elicits broad humoral responses against SARS-CoV-1, SARS-CoV-2, WIV16 and RaTG13 in mice, rabbits and guinea pigs. When administered as a DNA immunogen or by a vector based on a modified vaccinia virus Ankara, the optimized antigen induced vaccine protection from the Delta variant of SARS-CoV-2 in mice genetically engineered to express angiotensin-converting enzyme 2 and primed by a viral-vector vaccine (AZD1222) against SARS-CoV-2. A vaccine formulation incorporating mRNA coding for the optimized antigen further validated its broad immunogenicity. Vaccines that elicit broad immune responses across subgroups of coronaviruses may counteract the threat of zoonotic spillovers of betacoronaviruses.
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Affiliation(s)
- Sneha Vishwanath
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - George William Carnell
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | | | - Benedikt Asbach
- Institute of Medical Microbiology and Hygiene, University of Regensburg, Regensburg, Germany
| | - Martina Billmeier
- Institute of Medical Microbiology and Hygiene, University of Regensburg, Regensburg, Germany
| | - Charlotte George
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Maria Suau Sans
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Angalee Nadesalingam
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Chloe Qingzhou Huang
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Minna Paloniemi
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Hazel Stewart
- Department of Pathology, University of Cambridge, Cambridge, UK
| | - Andrew Chan
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | | | - Patrick Neckermann
- Institute of Medical Microbiology and Hygiene, University of Regensburg, Regensburg, Germany
| | - David Peterhoff
- Institute of Medical Microbiology and Hygiene, University of Regensburg, Regensburg, Germany
- Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Regensburg, Germany
| | - Sebastian Einhauser
- Institute of Medical Microbiology and Hygiene, University of Regensburg, Regensburg, Germany
| | - Diego Cantoni
- Viral Pseudotype Unit, Medway School of Pharmacy, The Universities of Kent and Greenwich at Medway, Chatham, UK
| | - Martin Mayora Neto
- Viral Pseudotype Unit, Medway School of Pharmacy, The Universities of Kent and Greenwich at Medway, Chatham, UK
| | | | | | - Paul Tonks
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
| | - Nigel Temperton
- Viral Pseudotype Unit, Medway School of Pharmacy, The Universities of Kent and Greenwich at Medway, Chatham, UK
| | - Simon Frost
- DIOSynVax Ltd, University of Cambridge, Cambridge, UK
- London School of Hygiene and Tropical Medicine, London, UK
- Microsoft Health Futures, Redmond, WA, USA
| | | | | | | | | | | | | | - Rebecca Kinsley
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK
- DIOSynVax Ltd, University of Cambridge, Cambridge, UK
| | - Ralf Wagner
- DIOSynVax Ltd, University of Cambridge, Cambridge, UK
- Institute of Medical Microbiology and Hygiene, University of Regensburg, Regensburg, Germany
- Institute of Clinical Microbiology and Hygiene, University Hospital Regensburg, Regensburg, Germany
| | - Jonathan Luke Heeney
- Lab of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, Cambridge, UK.
- DIOSynVax Ltd, University of Cambridge, Cambridge, UK.
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23
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Bagnoud M, Remlinger J, Massy M, Lodygin D, Salmen A, Chan A, Lühder F, Hoepner R. In Vivo and In Vitro Evidence for an Interplay between the Glucocorticoid Receptor and the Vitamin D Receptor Signaling. Cells 2023; 12:2291. [PMID: 37759513 PMCID: PMC10527904 DOI: 10.3390/cells12182291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 09/06/2023] [Accepted: 09/12/2023] [Indexed: 09/29/2023] Open
Abstract
Our previous work demonstrated that vitamin D (VitD) reduces experimental autoimmune encephalomyelitis (EAE) disease severity in wild-type (WT) but not in T cell-specific glucocorticoid (GC) receptor (GR)-deficient (GRlck) mice. This study aimed to investigate the interplay between the GR- and VitD receptor (VDR) signaling. In vivo, we confirmed the involvement of the GR in the VitD-induced effects in EAE using WT and GRlck mice. Furthermore, we observed that VitD-enhanced T cell apoptosis and T regulatory cell differentiation are diminished in vitro in CD3+ T cells of GRlck but not WT mice. Mechanistically, VitD does not appear to signal directly via the GR, as it does not bind to the GR, does not induce its nuclear translocation, and does not modulate the expression of two GR-induced genes. However, we observed that VitD enhances VDR protein expression in CD3+ T cells from WT but not GRlck mice in vitro, that the GR and the VDR spatially co-localize after VitD treatment, and that VitD does not modulate the expression of two VDR-induced genes in the absence of the GR. Our data suggest that a functional GR, specifically in T cells, is required for the VDR to signal appropriately to mediate the therapeutic effects of VitD.
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Affiliation(s)
- Maud Bagnoud
- Department of Neurology, Inselspital, Bern University Hospital, 3010 Bern, Switzerland; (J.R.); (M.M.); or (A.S.); (A.C.); (R.H.)
- Department of Biomedical Research, University of Bern, 3010 Bern, Switzerland
| | - Jana Remlinger
- Department of Neurology, Inselspital, Bern University Hospital, 3010 Bern, Switzerland; (J.R.); (M.M.); or (A.S.); (A.C.); (R.H.)
- Department of Biomedical Research, University of Bern, 3010 Bern, Switzerland
| | - Marine Massy
- Department of Neurology, Inselspital, Bern University Hospital, 3010 Bern, Switzerland; (J.R.); (M.M.); or (A.S.); (A.C.); (R.H.)
- Department of Biomedical Research, University of Bern, 3010 Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences, University of Bern, 3012 Bern, Switzerland
| | - Dmitri Lodygin
- Institute for Neuroimmunology and Multiple Sclerosis Research, University Medical Center Göttingen, 37075 Göttingen, Germany; (D.L.); (F.L.)
| | - Anke Salmen
- Department of Neurology, Inselspital, Bern University Hospital, 3010 Bern, Switzerland; (J.R.); (M.M.); or (A.S.); (A.C.); (R.H.)
- Department of Biomedical Research, University of Bern, 3010 Bern, Switzerland
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital, 3010 Bern, Switzerland; (J.R.); (M.M.); or (A.S.); (A.C.); (R.H.)
- Department of Biomedical Research, University of Bern, 3010 Bern, Switzerland
| | - Fred Lühder
- Institute for Neuroimmunology and Multiple Sclerosis Research, University Medical Center Göttingen, 37075 Göttingen, Germany; (D.L.); (F.L.)
| | - Robert Hoepner
- Department of Neurology, Inselspital, Bern University Hospital, 3010 Bern, Switzerland; (J.R.); (M.M.); or (A.S.); (A.C.); (R.H.)
- Department of Biomedical Research, University of Bern, 3010 Bern, Switzerland
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Wolfe R, Broder J, Chan A, Murray A, Orchard S, Polekhina G, Ryan J, Tonkin A, Webb K, Woods R. Expanded statistical analysis plan for legacy and long-term effects of aspirin in the ASPREE-XT observational follow-up study of participants in the ASPREE randomized trial. medRxiv 2023:2023.09.13.23295514. [PMID: 37745426 PMCID: PMC10516076 DOI: 10.1101/2023.09.13.23295514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
The ASPREE randomized controlled trial (2010-2017) of 19,114 community-dwelling older adults without cardiovascular disease and significant disability compared daily 100mg aspirin to placebo. A total of 16,317 (93%) of 17,546 surviving and non-withdrawn participants agreed to continue regular study follow-up visits in the post-trial phase, named ASPREE-XT (2017-2024). We present a statistical analysis plan to underpin three main papers to report aspirin effects through to the fourth post-trial ASPREE-XT study visit with focus areas of: (1) death, dementia, and disability, (2) CVD events and bleeding, and (3) cancer. The focus of the plan is to estimate long-term (entire timespan of RCT plus post-trial) and legacy (post-trial period only) effects of aspirin in the setting of primary prevention for older individuals. Preliminary insights to these effects are presented that are based on data that has been reported to the study's observational study monitoring board however formal data lock is not expected until October 2023.
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Affiliation(s)
- Rory Wolfe
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
- Monash University Clinical Trials Centre, Monash University, Melbourne, Australia
| | - Jonathan Broder
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Andrew Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, US
| | - Anne Murray
- Berman Center for Outcomes and Clinical Research and Department of Medicine, Geriatrics Division, Hennepin Healthcare Research Institute, Minneapolis, Minnesota, US
- Department of Medicine, Division of Geriatrics, Hennepin Healthcare, Minneapolis, Minnesota, US
| | - Suzanne Orchard
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Galina Polekhina
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Joanne Ryan
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Andrew Tonkin
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Katherine Webb
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Robyn Woods
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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Ganmaa D, Chinbayar T, Khudaykov P, Nasantogtoh E, Ariunbuyan S, Enkhtsetseg T, Sarangua G, Chan A, Tserendagva D. Latent TB Infection, Vitamin D Status and COVID-19 Severity in Mongolian Patients. Nutrients 2023; 15:3979. [PMID: 37764763 PMCID: PMC10536319 DOI: 10.3390/nu15183979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 09/07/2023] [Accepted: 09/08/2023] [Indexed: 09/29/2023] Open
Abstract
We aimed to determine potential risk factors for COVID-19 severity including serum vitamin D levels and latent TB infection among Mongolian inpatients diagnosed with COVID-19, and to study the effects of disease complications and treatment outcomes. This study included patients admitted to the Mongolian National Center for Communicable Disease, a main referral center for infectious disease in Mongolia, with COVID-19 ascertained by a positive PCR test. Patients' demographic, clinical, and laboratory data were analyzed. Of the 270 patients enrolled, 125 (46%) had mild-to-moderate illness, 86 (32%) had severe illness, and 59 (22%) had critical illness. Ten (91%) of the 11 patients who had active TB were hospitalized with severe or critical COVID-19, suggesting that they had a higher risk of falling into the severe category (OR = 10.6 [1.2; 92.0] 95% CI). Severe vitamin D deficiency (25(OH)D < 10 ng/mL) was present in 32% of the patients, but was not significantly associated with the severity of illness (p = 0.65). Older age, being male, having active TB and/or COPD were associated with greater COVID-19 severity, whereas a history of COVID-19 vaccination and the presence of a BCG vaccination scar were protective in terms of disease severity.
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Affiliation(s)
- Davaasambuu Ganmaa
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Tserendorj Chinbayar
- National Center for Communicable Disease, Ulaanbaatar 13335, Mongolia; (T.C.); (G.S.)
| | | | | | - Sukhbaatar Ariunbuyan
- Division of Oral and Maxillofacial Oncology and Surgical Sciences, Graduate School of Dentistry, Tohoku University, Sendai 980-8575, Japan;
- Laboratory of Biomedical Engineering for Cancer, Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8575, Japan
- Biomedical Engineering Cancer Research Center, Graduate School of Biomedical Engineering, Tohoku University, Sendai 980-8575, Japan
| | | | - Ganbold Sarangua
- National Center for Communicable Disease, Ulaanbaatar 13335, Mongolia; (T.C.); (G.S.)
| | - Andrew Chan
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA;
| | - Dalkh Tserendagva
- International School of Mongolian Medicine, Mongolian National University of Medical Sciences, Ulaanbaatar 14210, Mongolia;
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26
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Remlinger J, Bagnoud M, Meli I, Massy M, Hoepner R, Linington C, Chan A, Bennett JL, Enzmann V, Salmen A. Modeling MOG Antibody-Associated Disorder and Neuromyelitis Optica Spectrum Disorder in Animal Models: Visual System Manifestations. Neurol Neuroimmunol Neuroinflamm 2023; 10:e200141. [PMID: 37429715 PMCID: PMC10691219 DOI: 10.1212/nxi.0000000000200141] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 05/15/2023] [Indexed: 07/12/2023]
Abstract
BACKGROUND AND OBJECTIVES Mechanisms of visual impairment in aquaporin 4 antibody (AQP4-IgG) seropositive neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody (MOG-IgG)-associated disorder (MOGAD) are incompletely understood. The respective impact of optic nerve demyelination and primary and secondary retinal neurodegeneration are yet to be investigated in animal models. METHODS Active MOG35-55 experimental autoimmune encephalomyelitis (EAE) was induced in C57BL/6Jrj mice, and monoclonal MOG-IgG (8-18C5, murine), recombinant AQP4-IgG (rAb-53, human), or isotype-matched control IgG (Iso-IgG, human) was administered 10 days postimmunization. Mobility impairment was scored daily. Visual acuity by optomotor reflex and ganglion cell complex thickness (GCC, 3 innermost retinal layers) by optical coherence tomography (OCT) were longitudinally assessed. Histopathology of optic nerve and retina was investigated during presymptomatic, acute, and chronic disease phases for immune cells, demyelination, complement deposition, natural killer (NK) cell, AQP4, and astrocyte involvement, retinal ganglion cells (RGCs), and Müller cell activation. Groups were compared by nonparametric tests with a p value <0.05 indicating statistical significance. RESULTS Visual acuity decreased from baseline to chronic phase in MOG-IgG (mean ± standard error of the mean: 0.54 ± 0.01 to 0.46 ± 0.02 cycles/degree, p < 0.05) and AQP4-IgG EAE (0.54 ± 0.01 to 0.43 ± 0.02, cycles/degree, p < 0.05). Immune cell infiltration of optic nerves started in presymptomatic AQP4-IgG, but not in MOG-IgG EAE (5.85 ± 2.26 vs 0.13 ± 0.10 macrophages/region of interest [ROI] and 1.88 ± 0.63 vs 0.15 ± 0.06 T cells/ROI, both p < 0.05). Few NK cells, no complement deposition, and stable glial fibrillary acid protein and AQP4 fluorescence intensity characterized all EAE optic nerves. Lower GCC thickness (Spearman correlation coefficient r = -0.44, p < 0.05) and RGC counts (r = -0.47, p < 0.05) correlated with higher mobility impairment. RGCs decreased from presymptomatic to chronic disease phase in MOG-IgG (1,705 ± 51 vs 1,412 ± 45, p < 0.05) and AQP4-IgG EAE (1,758 ± 14 vs 1,526 ± 48, p < 0.01). Müller cell activation was not observed in either model. DISCUSSION In a multimodal longitudinal characterization of visual outcome in animal models of MOGAD and NMOSD, differential retinal injury and optic nerve involvement were not conclusively clarified. Yet optic nerve inflammation was earlier in AQP4-IgG-associated pathophysiology. Retinal atrophy determined by GCC thickness (OCT) and RGC counts correlating with mobility impairment in the chronic phase of MOG-IgG and AQP4-IgG EAE may serve as a generalizable marker of neurodegeneration.
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Affiliation(s)
- Jana Remlinger
- From the Department of Neurology (J.R., M.B., I.M., M.M., R.H., A.C., A.S.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences (J.R., M.M.), University of Bern, Switzerland; Institute of Infection (C.L.), Immunity and Inflammation, University of Glasgow, UK; Departments of Neurology and Ophthalmology (J.L.B.), Programs in Neuroscience and Immunology, University of Colorado Anschutz Medical Campus, Aurora; and Department of Ophthalmology (V.E.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland
| | - Maud Bagnoud
- From the Department of Neurology (J.R., M.B., I.M., M.M., R.H., A.C., A.S.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences (J.R., M.M.), University of Bern, Switzerland; Institute of Infection (C.L.), Immunity and Inflammation, University of Glasgow, UK; Departments of Neurology and Ophthalmology (J.L.B.), Programs in Neuroscience and Immunology, University of Colorado Anschutz Medical Campus, Aurora; and Department of Ophthalmology (V.E.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland
| | - Ivo Meli
- From the Department of Neurology (J.R., M.B., I.M., M.M., R.H., A.C., A.S.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences (J.R., M.M.), University of Bern, Switzerland; Institute of Infection (C.L.), Immunity and Inflammation, University of Glasgow, UK; Departments of Neurology and Ophthalmology (J.L.B.), Programs in Neuroscience and Immunology, University of Colorado Anschutz Medical Campus, Aurora; and Department of Ophthalmology (V.E.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland
| | - Marine Massy
- From the Department of Neurology (J.R., M.B., I.M., M.M., R.H., A.C., A.S.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences (J.R., M.M.), University of Bern, Switzerland; Institute of Infection (C.L.), Immunity and Inflammation, University of Glasgow, UK; Departments of Neurology and Ophthalmology (J.L.B.), Programs in Neuroscience and Immunology, University of Colorado Anschutz Medical Campus, Aurora; and Department of Ophthalmology (V.E.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland
| | - Robert Hoepner
- From the Department of Neurology (J.R., M.B., I.M., M.M., R.H., A.C., A.S.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences (J.R., M.M.), University of Bern, Switzerland; Institute of Infection (C.L.), Immunity and Inflammation, University of Glasgow, UK; Departments of Neurology and Ophthalmology (J.L.B.), Programs in Neuroscience and Immunology, University of Colorado Anschutz Medical Campus, Aurora; and Department of Ophthalmology (V.E.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland
| | - Christopher Linington
- From the Department of Neurology (J.R., M.B., I.M., M.M., R.H., A.C., A.S.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences (J.R., M.M.), University of Bern, Switzerland; Institute of Infection (C.L.), Immunity and Inflammation, University of Glasgow, UK; Departments of Neurology and Ophthalmology (J.L.B.), Programs in Neuroscience and Immunology, University of Colorado Anschutz Medical Campus, Aurora; and Department of Ophthalmology (V.E.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland
| | - Andrew Chan
- From the Department of Neurology (J.R., M.B., I.M., M.M., R.H., A.C., A.S.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences (J.R., M.M.), University of Bern, Switzerland; Institute of Infection (C.L.), Immunity and Inflammation, University of Glasgow, UK; Departments of Neurology and Ophthalmology (J.L.B.), Programs in Neuroscience and Immunology, University of Colorado Anschutz Medical Campus, Aurora; and Department of Ophthalmology (V.E.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland
| | - Jeffrey L Bennett
- From the Department of Neurology (J.R., M.B., I.M., M.M., R.H., A.C., A.S.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences (J.R., M.M.), University of Bern, Switzerland; Institute of Infection (C.L.), Immunity and Inflammation, University of Glasgow, UK; Departments of Neurology and Ophthalmology (J.L.B.), Programs in Neuroscience and Immunology, University of Colorado Anschutz Medical Campus, Aurora; and Department of Ophthalmology (V.E.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland
| | - Volker Enzmann
- From the Department of Neurology (J.R., M.B., I.M., M.M., R.H., A.C., A.S.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences (J.R., M.M.), University of Bern, Switzerland; Institute of Infection (C.L.), Immunity and Inflammation, University of Glasgow, UK; Departments of Neurology and Ophthalmology (J.L.B.), Programs in Neuroscience and Immunology, University of Colorado Anschutz Medical Campus, Aurora; and Department of Ophthalmology (V.E.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland
| | - Anke Salmen
- From the Department of Neurology (J.R., M.B., I.M., M.M., R.H., A.C., A.S.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences (J.R., M.M.), University of Bern, Switzerland; Institute of Infection (C.L.), Immunity and Inflammation, University of Glasgow, UK; Departments of Neurology and Ophthalmology (J.L.B.), Programs in Neuroscience and Immunology, University of Colorado Anschutz Medical Campus, Aurora; and Department of Ophthalmology (V.E.), Inselspital, Bern University Hospital and Department for BioMedical Research (DBMR), University of Bern, Switzerland.
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27
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Todea AR, Melie-Garcia L, Barakovic M, Cagol A, Rahmanzadeh R, Galbusera R, Lu PJ, Weigel M, Ruberte E, Radue EW, Schaedelin S, Benkert P, Oezguer Y, Sinnecker T, Müller S, Achtnichts L, Vehoff J, Disanto G, Findling O, Chan A, Salmen A, Pot C, Lalive P, Bridel C, Zecca C, Derfuss T, Remonda L, Wagner F, Vargas M, Du Pasquier R, Pravata E, Weber J, Gobbi C, Leppert D, Wuerfel J, Kober T, Marechal B, Corredor-Jerez R, Psychogios M, Lieb J, Kappos L, Cuadra MB, Kuhle J, Granziera C. A Multicenter Longitudinal MRI Study Assessing LeMan-PV Software Accuracy in the Detection of White Matter Lesions in Multiple Sclerosis Patients. J Magn Reson Imaging 2023; 58:864-876. [PMID: 36708267 DOI: 10.1002/jmri.28618] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 01/13/2023] [Accepted: 01/14/2023] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND Detecting new and enlarged lesions in multiple sclerosis (MS) patients is needed to determine their disease activity. LeMan-PV is a software embedded in the scanner reconstruction system of one vendor, which automatically assesses new and enlarged white matter lesions (NELs) in the follow-up of MS patients; however, multicenter validation studies are lacking. PURPOSE To assess the accuracy of LeMan-PV for the longitudinal detection NEL white-matter MS lesions in a multicenter clinical setting. STUDY TYPE Retrospective, longitudinal. SUBJECTS A total of 206 patients with a definitive MS diagnosis and at least two follow-up MRI studies from five centers participating in the Swiss Multiple Sclerosis Cohort study. Mean age at first follow-up = 45.2 years (range: 36.9-52.8 years); 70 males. FIELD STRENGTH/SEQUENCE Fluid attenuated inversion recovery (FLAIR) and T1-weighted magnetization prepared rapid gradient echo (T1-MPRAGE) sequences at 1.5 T and 3 T. ASSESSMENT The study included 313 MRI pairs of datasets. Data were analyzed with LeMan-PV and compared with a manual "reference standard" provided by a neuroradiologist. A second rater (neurologist) performed the same analysis in a subset of MRI pairs to evaluate the rating-accuracy. The Sensitivity (Se), Specificity (Sp), Accuracy (Acc), F1-score, lesion-wise False-Positive-Rate (aFPR), and other measures were used to assess LeMan-PV performance for the detection of NEL at 1.5 T and 3 T. The performance was also evaluated in the subgroup of 123 MRI pairs at 3 T. STATISTICAL TESTS Intraclass correlation coefficient (ICC) and Cohen's kappa (CK) were used to evaluate the agreement between readers. RESULTS The interreader agreement was high for detecting new lesions (ICC = 0.97, Pvalue < 10-20 , CK = 0.82, P value = 0) and good (ICC = 0.75, P value < 10-12 , CK = 0.68, P value = 0) for detecting enlarged lesions. Across all centers, scanner field strengths (1.5 T, 3 T), and for NEL, LeMan-PV achieved: Acc = 61%, Se = 65%, Sp = 60%, F1-score = 0.44, aFPR = 1.31. When both follow-ups were acquired at 3 T, LeMan-PV accuracy was higher (Acc = 66%, Se = 66%, Sp = 66%, F1-score = 0.28, aFPR = 3.03). DATA CONCLUSION In this multicenter study using clinical data settings acquired at 1.5 T and 3 T, and variations in MRI protocols, LeMan-PV showed similar sensitivity in detecting NEL with respect to other recent 3 T multicentric studies based on neural networks. While LeMan-PV performance is not optimal, its main advantage is that it provides automated clinical decision support integrated into the radiological-routine flow. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Alexandra Ramona Todea
- Department of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Lester Melie-Garcia
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Muhamed Barakovic
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Alessandro Cagol
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Reza Rahmanzadeh
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Riccardo Galbusera
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Po-Jui Lu
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Matthias Weigel
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Division of Radiological Physics, Department of Radiology, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Esther Ruberte
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Ernst-Wilhelm Radue
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Sabine Schaedelin
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Pascal Benkert
- Clinical Trial Unit, Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Yaldizli Oezguer
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Tim Sinnecker
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
- Medical Image Analysis Center (MIAC) and qbig, Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | - Stefanie Müller
- Department of Neurology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Lutz Achtnichts
- Department of Neurology, Cantonal Hospital Aarau, Switzerland
| | - Jochen Vehoff
- Department of Neurology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Giulio Disanto
- Department of Neurology, Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland
| | - Oliver Findling
- Department of Neurology, Cantonal Hospital Aarau, Switzerland
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Anke Salmen
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Caroline Pot
- Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Patrice Lalive
- Department of Clinical Neurosciences, Geneva University Hospital and Faculty of Medicine, Geneva, Switzerland
| | - Claire Bridel
- Department of Clinical Neurosciences, Geneva University Hospital and Faculty of Medicine, Geneva, Switzerland
| | - Chiara Zecca
- Department of Neurology, Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland
- Faculty of Biomedical Sciences, University of Italian Switzerland, Lugano, Switzerland
| | - Tobias Derfuss
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Luca Remonda
- Department of Radiology, Cantonal Hospital Aarau, Switzerland
| | - Franca Wagner
- Department of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Maria Vargas
- Department of Radiology, Geneva University Hospital and Faculty of Medicine, Geneva, Switzerland
| | - Renaud Du Pasquier
- Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Emanuele Pravata
- Faculty of Biomedical Sciences, University of Italian Switzerland, Lugano, Switzerland
- Department of Neuroradiology, Neurocenter of Southern Switzerland, Lugano, Switzerland
| | - Johannes Weber
- Department of Radiology, Cantonal Hospital St. Gallen, St. Gallen, Switzerland
| | - Claudio Gobbi
- Department of Neurology, Neurocenter of Southern Switzerland, EOC, Lugano, Switzerland
- Faculty of Biomedical Sciences, University of Italian Switzerland, Lugano, Switzerland
| | - David Leppert
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC) and qbig, Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | - Tobias Kober
- Advanced Clinical Imaging Technology, Siemens Healthineers International, Lausanne, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | - Benedicte Marechal
- Advanced Clinical Imaging Technology, Siemens Healthineers International, Lausanne, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | - Ricardo Corredor-Jerez
- Advanced Clinical Imaging Technology, Siemens Healthineers International, Lausanne, Switzerland
- Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- LTS5, École Polytechnique FÉdÉrale de Lausanne (EPFL), Lausanne, Switzerland
| | - Marios Psychogios
- Department of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital of Basel, Basel, Switzerland
| | - Johanna Lieb
- Department of Neuroradiology, Clinic of Radiology and Nuclear Medicine, University Hospital of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Meritxell Bach Cuadra
- CIBM Center for Biomedical Imaging, Radiology Department, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland
| | - Jens Kuhle
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
| | - Cristina Granziera
- Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital Basel, Switzerland, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland
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Pernet V, Joly S, Spiegel S, Meli I, Idriss S, Maigler F, Mdzomba JB, Roenneke AK, Franceschini A, Silvestri L, Pavone FS, Calamai M, Schindowski K, Chan A. Nogo-A antibody delivery through the olfactory mucosa mitigates experimental autoimmune encephalomyelitis in the mouse CNS. Cell Death Discov 2023; 9:290. [PMID: 37558696 PMCID: PMC10412545 DOI: 10.1038/s41420-023-01588-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2023] [Revised: 07/18/2023] [Accepted: 07/28/2023] [Indexed: 08/11/2023] Open
Abstract
Systemic administration of Nogo-A-neutralizing antibody ameliorates experimental autoimmune encephalomyelitis (EAE), an animal model of multiple sclerosis. However, the blood-brain barrier (BBB) is a major obstacle limiting the passage of systemically applied antibody to the CNS. To bypass the BBB, in the present study we tested the intranasal route of administration by targeting the olfactory mucosa with the Nogo-A-blocking antibody 11C7 mAb in myelin oligodendrocyte glycoprotein-induced EAE. Antibodies were specifically administered onto the olfactory mucosa using a microcatheter. Antibody distribution was examined in the CNS by ELISA and light-sheet microscopy. The effects of 11C7 mAb on Nogo-A signaling were assessed by Western blotting. EAE-induced deficits were monitored daily. Demyelination was observed on spinal cord histological sections. Gene expression changes were followed by trancriptomic analyses. A sensitive capture ELISA revealed a rapid and widespread distribution of 11C7 mAb in the CNS, including the olfactory bulb, the cerebellum and the lumbar spinal cord, but not in the CSF. Light-sheet microscopy allowed to observe antibody accumulation in the parenchyma, thus demonstrating nose-to-brain transfer of IgG. At the functional level, the widespread penetration of 11C7 mAb in the CNS, including the thoracolumbar spinal cord, resulted in the improvement of motor symptoms and in the preservation of myelin in the spinal cord of EAE mice. This was accompanied by Nogo-A signaling downregulation, as reflected by the decreased level of phosphorylated cofilin observed by Western blotting in the cerebellum. In the brain of EAE score-matched animals, 11C7 modified the expression of genes that can influence neurotransmission and cognitive functions, independently of the demyelination phenotype in the spinal cord. In conclusion, our data show the feasibility of olfactory mucosa-directed administration for the delivery of therapeutic antibodies targeting CNS antigens in EAE mice.
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Affiliation(s)
- Vincent Pernet
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
- Center for experimental neurology (ZEN), Bern University Hospital, University of Bern, Bern, Switzerland.
- Centre de recherche du CHU de Québec-Université Laval and Department of Molecular Medicine, Faculté de médecine, Université Laval, Québec, Québec, Canada.
| | - Sandrine Joly
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Center for experimental neurology (ZEN), Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Ophthalmology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Sebastian Spiegel
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Center for experimental neurology (ZEN), Bern University Hospital, University of Bern, Bern, Switzerland
- Institute of Applied Biotechnology, Biberach University of Applied Science, Hubertus-Liebrecht-Strasse 35, Biberach, Germany
- Department of Biomedical Research, University of Bern, Bern, Switzerland
- Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland
| | - Ivo Meli
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Center for experimental neurology (ZEN), Bern University Hospital, University of Bern, Bern, Switzerland
| | - Sherif Idriss
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Center for experimental neurology (ZEN), Bern University Hospital, University of Bern, Bern, Switzerland
| | - Frank Maigler
- Institute of Applied Biotechnology, Biberach University of Applied Science, Hubertus-Liebrecht-Strasse 35, Biberach, Germany
| | - Julius Baya Mdzomba
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Center for experimental neurology (ZEN), Bern University Hospital, University of Bern, Bern, Switzerland
| | - Anna K Roenneke
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Center for experimental neurology (ZEN), Bern University Hospital, University of Bern, Bern, Switzerland
| | - Alessandra Franceschini
- LENS- European Laboratory for Non-Linear Spectroscopy, University of Florence, Sesto-Fiorentino (Firenze), Italy
| | - Ludovico Silvestri
- LENS- European Laboratory for Non-Linear Spectroscopy, University of Florence, Sesto-Fiorentino (Firenze), Italy
| | - Francesco S Pavone
- LENS- European Laboratory for Non-Linear Spectroscopy, University of Florence, Sesto-Fiorentino (Firenze), Italy
| | - Martino Calamai
- LENS- European Laboratory for Non-Linear Spectroscopy, University of Florence, Sesto-Fiorentino (Firenze), Italy
- National Institute of Optics - National Research Council (CNR-INO), Sesto Fiorentino, Italy
| | - Katharina Schindowski
- Institute of Applied Biotechnology, Biberach University of Applied Science, Hubertus-Liebrecht-Strasse 35, Biberach, Germany
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
- Center for experimental neurology (ZEN), Bern University Hospital, University of Bern, Bern, Switzerland.
- Department of Biomedical Research, University of Bern, Bern, Switzerland.
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Chan A, Stathakis P, Goldsmith P, Smith S, Macutkiewicz C. The reorganisation of emergency general surgery services during the COVID-19 pandemic in the UK: outcomes of delayed presentation, socio-economic deprivation and Black, Asian and Minority Ethnic patients. Ann R Coll Surg Engl 2023; 105:S46-S53. [PMID: 35639022 PMCID: PMC10390243 DOI: 10.1308/rcsann.2022.0022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2023] Open
Abstract
INTRODUCTION The COVID-19 pandemic is a global public health emergency. Lockdown restrictions and the reconfiguration of healthcare systems to accommodate an increase in critical care capacity have had an impact on 'non-COVID' specialties. This study characterises the utilisation of emergency general surgery (EGS) services during the UK lockdown period at a university teaching hospital with a catchment population that represents one of the most deprived and ethnically diverse areas in the UK. METHODS EGS admissions during the UK lockdown period (March to May 2020) were compared with the same period in 2019. Patient demographics were recorded together with clinical presentation, hospital stay and treatment outcomes, and readmission data. RESULTS The study included 645 patients, comprising 223 in the COVID-19 period and 422 in the non-COVID-19 period. There was no difference in age, sex, comorbidity or socio-economic status. A lower proportion of patients of Black, Asian and Minority Ethnicity (BAME) were admitted during the pandemic (20.6% vs 35.4%, p < 0.05). The duration of symptoms prior to presentation was longer, and admission clinical parameters and serum inflammatory markers. More patients presented with an acute kidney injury (9.9% vs 4.7%, p = 0.012). There was no difference in perioperative outcomes or 30-day mortality, but more patients were readmitted following conservative management (10.6% vs 4.7%, p = 0.023). CONCLUSIONS The reorganisation of EGS to a senior-led model has been successful in terms of outcomes and access to treatment despite a more unwell population. There was a significantly lower proportion of BAME admissions suggesting additional barriers to healthcare access under pandemic lockdown conditions.
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Affiliation(s)
- A Chan
- Manchester University NHS Foundation Trust, UK
| | - P Stathakis
- Manchester University NHS Foundation Trust, UK
| | - P Goldsmith
- Manchester University NHS Foundation Trust, UK
| | - S Smith
- Manchester University NHS Foundation Trust, UK
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Misiak B, Samochowiec J, Kowalski K, Gaebel W, Bassetti CLA, Chan A, Gorwood P, Papiol S, Dom G, Volpe U, Szulc A, Kurimay T, Kärkkäinen H, Decraene A, Wisse J, Fiorillo A, Falkai P. The future of diagnosis in clinical neurosciences: Comparing multiple sclerosis and schizophrenia. Eur Psychiatry 2023; 66:e58. [PMID: 37476977 PMCID: PMC10486256 DOI: 10.1192/j.eurpsy.2023.2432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/12/2023] [Accepted: 06/14/2023] [Indexed: 07/22/2023] Open
Abstract
The ongoing developments of psychiatric classification systems have largely improved reliability of diagnosis, including that of schizophrenia. However, with an unknown pathophysiology and lacking biomarkers, its validity still remains low, requiring further advancements. Research has helped establish multiple sclerosis (MS) as the central nervous system (CNS) disorder with an established pathophysiology, defined biomarkers and therefore good validity and significantly improved treatment options. Before proposing next steps in research that aim to improve the diagnostic process of schizophrenia, it is imperative to recognize its clinical heterogeneity. Indeed, individuals with schizophrenia show high interindividual variability in terms of symptomatic manifestation, response to treatment, course of illness and functional outcomes. There is also a multiplicity of risk factors that contribute to the development of schizophrenia. Moreover, accumulating evidence indicates that several dimensions of psychopathology and risk factors cross current diagnostic categorizations. Schizophrenia shares a number of similarities with MS, which is a demyelinating disease of the CNS. These similarities appear in the context of age of onset, geographical distribution, involvement of immune-inflammatory processes, neurocognitive impairment and various trajectories of illness course. This article provides a critical appraisal of diagnostic process in schizophrenia, taking into consideration advancements that have been made in the diagnosis and management of MS. Based on the comparison between the two disorders, key directions for studies that aim to improve diagnostic process in schizophrenia are formulated. All of them converge on the necessity to deconstruct the psychosis spectrum and adopt dimensional approaches with deep phenotyping to refine current diagnostic boundaries.
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Affiliation(s)
- Błażej Misiak
- Department of Psychiatry, Wroclaw Medical University, Wroclaw, Poland
| | - Jerzy Samochowiec
- Department of Psychiatry, Pomeranian Medical University, Szczecin, Poland
| | | | - Wolfgang Gaebel
- Department of Psychiatry and Psychotherapy, LVR-Klinikum Düsseldorf, Medical Faculty, Heinrich-Heine-University, Düsseldorf, Germany
- WHO Collaborating Centre on Quality Assurance and Empowerment in Mental Health, DEU-131, Düsseldorf, Germany
| | - Claudio L. A. Bassetti
- Department of Neurology, Inselspital, Bern University Hospital, University Bern, Switzerland
- Interdisciplinary Sleep-Wake-Epilepsy-Center, Inselspital, Bern University Hospital, University Bern, Bern, Switzerland
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital, University Bern, Switzerland
| | - Philip Gorwood
- Université Paris Cité, INSERM, U1266 (Institute of Psychiatry and Neuroscience of Paris), Paris, France
- CMME, GHU Paris Psychiatrie et Neurosciences, Hôpital Sainte-Anne, Paris, France
| | - Sergi Papiol
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
- Department of Psychiatry, Institute of Psychiatric Phenomics and Genomics, University Hospital, Ludwig Maximilian University, Munich, Germany
| | - Geert Dom
- Collaborative Antwerp Psychiatric Research Institute, University of Antwerp, B-2610Antwerp, Belgium
- Multiversum Psychiatric Hospital, B-2530Boechout, Belgium
| | - Umberto Volpe
- Unit of Clinical Psychiatry, Department of Clinical Neurosciences/DIMSC, Polytechnic University of Marche, 60126Ancona, Italy
| | - Agata Szulc
- Department of Psychiatry, Medical University of Warsaw, Warsaw, Poland
| | - Tamas Kurimay
- Department of Psychiatry, St. Janos Hospital, Budapest, Hungary
| | | | - Andre Decraene
- European Federation of Associations of Families of People with Mental Illness (EUFAMI), Leuven, Belgium
| | - Jan Wisse
- Century House, Wargrave Road, Henley-on-Thames, OxfordshireRG9 2LT, UK
| | - Andrea Fiorillo
- Department of Psychiatry, University of Campania “Luigi Vanvitelli”, Naples, Italy
| | - Peter Falkai
- Department of Psychiatry and Psychotherapy, University Hospital, LMU Munich, Nussbaumstraße 7, 80336Munich, Germany
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Gold R, Barnett M, Chan A, Feng H, Fujihara K, Giovannoni G, Montalbán X, Shi FD, Tintoré M, Xue Q, Yang C, Zhou H. Clinical use of dimethyl fumarate in multiple sclerosis treatment: an update to include China, using a modified Delphi method. Ther Adv Neurol Disord 2023; 16:17562864231180734. [PMID: 37465201 PMCID: PMC10350766 DOI: 10.1177/17562864231180734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 05/20/2023] [Indexed: 07/20/2023] Open
Abstract
Dimethyl fumarate (DMF) is a widely used oral disease-modifying therapy for multiple sclerosis (MS). Its efficacy and safety profiles are supported by over a decade of experience. Differences exist between Asia and Europe/United States in the prevalence and characteristics of MS; most data for DMF are derived from populations outside Asia. DMF was recently (2021) approved for use in China. The objectives of this review were to evaluate the evidence for DMF's profile, to provide an update to healthcare providers on current knowledge surrounding its use and to assess the relevance of existing data to use in China. This study used a modified Delphi method based on the insights of a scientific Steering Committee (SC), with a structured literature review conducted to assess the data of DMF. The literature review covered all papers in English (from 01 January 2011 to 21 February 2022) that include 'dimethyl fumarate' and 'multiple sclerosis', and their MeSH terms, on PubMed, supplemented by EMBASE and Citeline searches. Papers were categorized by topic and assessed for relevance and quality, before being used to formulate statements summarizing the literature on each subject. SC members voted on/revised statements, requiring ⩾80% agreement and ⩽10% disagreement for inclusion. Statements not reaching this level were discussed further until agreement was reached or until there was agreement to remove the statement. A total of 1030 papers were retrieved and used to formulate the statements and evidence summaries considered by the SC members. A total of 45 statements were agreed by the SC members. The findings support the positive efficacy and safety profile of DMF in treating patients with MS. Limited Chinese patient data are an ongoing consideration; however, based on current evidence, the statements are considered applicable to both the global and Chinese populations. DMF is a valuable addition to address unmet MS treatment needs in China. Registration: Not applicable.
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Affiliation(s)
- Ralf Gold
- Department of Neurology, Ruhr University Bochum, Bochum 44791, Germany
| | - Michael Barnett
- Brain and Mind Centre, University of Sydney and Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Andrew Chan
- Department of Neurology, Inselspital (Bern University Hospital), University of Bern, Bern, Switzerland
| | - Huiyu Feng
- Department of Neurology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Kazuo Fujihara
- Department of Multiple Sclerosis Therapeutics, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Gavin Giovannoni
- Department of Neurology, Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom
| | - Xavier Montalbán
- Neurology Department, Multiple Sclerosis Center of Catalonia (Cemcat), Vall d’Hebron University Hospital, Barcelona, Spain
| | - Fu-Dong Shi
- Department of Neurology, Institute of Neuroimmunology, Tianjin Medical University General Hospital, Tianjin, China
| | - Mar Tintoré
- Neurology Department, Multiple Sclerosis Center of Catalonia (Cemcat), Vall d’Hebron University Hospital, Barcelona, Spain
| | - Qun Xue
- Department of Neurology, First Affiliated Hospital of Soochow University, Suzhou, China
| | - Chunsheng Yang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongyu Zhou
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, China
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Zettl UK, Rommer PS, Aktas O, Wagner T, Richter J, Oschmann P, Cepek L, Elias-Hamp B, Gehring K, Chan A, Hecker M. Interferon beta-1a sc at 25 years: a mainstay in the treatment of multiple sclerosis over the period of one generation. Expert Rev Clin Immunol 2023; 19:1343-1359. [PMID: 37694381 DOI: 10.1080/1744666x.2023.2248391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 08/10/2023] [Indexed: 09/12/2023]
Abstract
INTRODUCTION Interferon beta (IFN beta) preparations are an established group of drugs used for immunomodulation in patients with multiple sclerosis (MS). Subcutaneously (sc) applied interferon beta-1a (IFN beta-1a sc) has been in continuous clinical use for 25 years as a disease-modifying treatment. AREAS COVERED Based on data published since 2018, we discuss recent insights from analyses of the pivotal trial PRISMS and its long-term extension as well as from newer randomized studies with IFN beta-1a sc as the reference treatment, the use of IFN beta-1a sc across the patient life span and as a bridging therapy, recent data regarding the mechanisms of action, and potential benefits of IFN beta-1a sc regarding vaccine responses. EXPERT OPINION IFN beta-1a sc paved the way to effective immunomodulatory treatment of MS, enabled meaningful insights into the disease process, and remains a valid therapeutic option in selected vulnerable MS patient groups.
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Affiliation(s)
- Uwe Klaus Zettl
- Department of Neurology, Rostock University Medical Center, Rostock, Germany
| | - Paulus Stefan Rommer
- Department of Neurology, Rostock University Medical Center, Rostock, Germany
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Orhan Aktas
- Department of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | | | | | | | | | | | | | - Andrew Chan
- Department of Neurology, Inselspital Bern, University Hospital Bern, Bern, Switzerland
| | - Michael Hecker
- Department of Neurology, Rostock University Medical Center, Rostock, Germany
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Salmen A, Marti S, Hoepner AGF, Chan A, Hoepner R. The impact of immunotherapies on COVID-19 case fatality rates during the US vaccination campaign: a multidisciplinary open data analysis using FDA Adverse Event Reporting System and Our World in Data. Front Pharmacol 2023; 14:1186404. [PMID: 37397473 PMCID: PMC10308012 DOI: 10.3389/fphar.2023.1186404] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 05/30/2023] [Indexed: 07/04/2023] Open
Abstract
Introduction: Patients under immunotherapies were excluded from the pivotal trials of vaccinations against the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), and no population-level data on disease outcomes such as case fatality rates in relation to vaccination coverage exist. Our study aims to fill this gap by investigating whether CFRs in patients with immunotherapies decrease with increasing vaccination coverage in the total population. Methods: We combined aggregated open source data on COVID-19 vaccination coverage from "Our World in Data" with publicly available anonymized COVID-19 case reports from the FDA Adverse Event Reporting System to compute COVID-19 CFRs for patients under immunotherapy at different vaccination coverage levels in the total population. CFRs at different vaccination coverage levels were then compared to CFRs before vaccination campaign start. Results: While we found an overall decrease in CFRs on population level with increasing vaccination coverage, we found no decrease in people using anti-CD20 or glucocorticoids. Discussion: Risk-mitigation strategies on an individual- and population-level are thus still needed to lower the probability of fatal SARS-CoV2 infection for these vulnerable populations.
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Affiliation(s)
- Anke Salmen
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Stefanie Marti
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Andreas G. F. Hoepner
- Department of Banking and Finance, Michael Smurfit Graduate Business School, University College Dublin, Dublin, Ireland
- Department for Financial Stability and Capital Markets (DG FISMA), Platform for Sustainable Finance, European Commission, Brussels, Belgium
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Robert Hoepner
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
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Kiuchi S, Cooray U, Aida J, Osaka K, Chan A, Malhotra R, Peres MA. Effect of Tooth Loss on Cognitive Function among Older Adults in Singapore. J Dent Res 2023:220345231172109. [PMID: 37278356 DOI: 10.1177/00220345231172109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023] Open
Abstract
Evidence suggests a longitudinal association between tooth loss and cognitive function. However, the temporality of this association is not well understood. We investigated the effect of several emulated tooth loss prevention scenarios on cognitive function. We used data from 3 waves (baseline: 2009, second wave: 2011-2012, and third wave: 2015) of the Panel on Health and Ageing of Singaporean Elderly (PHASE). PHASE targeted older adults, aged ≥60 y, in Singapore. Number of teeth was used as a time-varying exposure (baseline, second wave). Cognitive function (Short Portable Mental Status Questionnaire score) in the third wave was assessed as the outcome. Multiple time-invariant (baseline) and time-varying (baseline and second wave) covariates were included. The "longitudinal modified treatment policy approach" combined with targeted minimum loss-based estimation was used to define and estimate additive effects of emulated tooth loss prevention scenarios. Emulated scenarios were the following: what if edentate people retained 1 to 4 teeth (scenario 1), what if those with <5 teeth retained 5 to 9 teeth (scenario 2), what if those with <10 teeth retained 10 to 19 teeth (scenario 3), and what if everyone retained ≥20 teeth (scenario 4)? A total of 1,516 participants, excluding those with severe cognitive impairment, were included (male: 41.6%). The mean age at baseline was 70.6 y (SD = 7.1). The mean SPMSQ score at baseline was 2.06 (SD = 0.02) for edentulous, 1.55 (SD = 0.04) for 1 to 4 teeth, 1.61 (SD = 0.03) for 5 to 9 teeth, 1.73 (SD = 0.02) for 10 to 19 teeth, and 1.71 (SD = 0.02) for ≥20 teeth. Additive effect of hypothetical intervention gradually increased with intensity of prevention from scenario 1 to scenario 4 (scenario 1: -0.02 [95% CI, -0.08 to 0.04], scenario 2: -0.05 [95% CI, -0.11 to -0.00], scenario 3: -0.07 [95% CI, -0.14 to -0.00], scenario 4: -0.15 [95% CI, -0.23 to -0.06]). Emulated tooth loss prevention interventions were associated with better cognitive function score. Therefore, preventing tooth loss could potentially benefit maintenance of cognitive function among older adults.
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Affiliation(s)
- S Kiuchi
- Frontier Research Institute for Interdisciplinary Sciences, Tohoku University, Aoba-ku, Sendai, Japan
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Aoba-ku, Sendai, Japan
| | - U Cooray
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Aoba-ku, Sendai, Japan
| | - J Aida
- Department of Oral Health Promotion, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - K Osaka
- Department of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Aoba-ku, Sendai, Japan
| | - A Chan
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - R Malhotra
- Centre for Ageing Research and Education, Duke-NUS Medical School, Singapore
- Health Services and Systems Research, Duke-NUS Medical School, Singapore
| | - M A Peres
- National Dental Research Institute Singapore, National Dental Centre Singapore, Singapore
- Oral Health ACP, Health Services and Systems Research Programme, Duke-NUS Medical School, Singapore
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Chan VWS, Rahman L, Ng HHL, Tang KP, Mok A, Tang A, Liu JPH, Ho KSC, Chan SM, Wong S, Teoh AYB, Chan A, Wong MCS, Yuan Y, Teoh JYC. Mitigation of COVID-19 transmission in endoscopic and surgical aerosol-generating procedures: a narrative review of early-pandemic literature. Hong Kong Med J 2023. [PMID: 37217445 DOI: 10.12809/hkmj209089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2023] Open
Affiliation(s)
- V W S Chan
- School of Medicine, Faculty of Medicine and Health, University of Leeds, Leeds, United Kingdom
| | - L Rahman
- School of Medicine, Faculty of Medicine and Health, University of Leeds, Leeds, United Kingdom
| | - H H L Ng
- School of Medicine, Faculty of Medicine and Health, University of Leeds, Leeds, United Kingdom
| | - K P Tang
- Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - A Mok
- Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - A Tang
- School of Medicine, Faculty of Medicine and Health, University of Leeds, Leeds, United Kingdom
| | - J P H Liu
- Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - K S C Ho
- Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - S M Chan
- Department of Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - S Wong
- Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - A Y B Teoh
- Department of Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - A Chan
- Department of Anaesthesia and Intensive Care, Prince of Wales Hospital, Hong Kong SAR, China
| | - M C S Wong
- The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Y Yuan
- Department of Medicine, McMaster University, Hamilton, Canada
| | - J Y C Teoh
- SH Ho Urology Centre, Department of Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China
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Schwarzwald A, Salmen A, León Betancourt AX, Diem L, Hammer H, Radojewski P, Rebsamen M, Kamber N, Chan A, Hoepner R, Friedli C. Anti-neurochondrin antibody as a biomarker in primary autoimmune cerebellar ataxia-a case report and review of the literature. Eur J Neurol 2023; 30:1135-1147. [PMID: 36437687 DOI: 10.1111/ene.15648] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 11/22/2022] [Accepted: 11/23/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE Neuronal autoantibodies can support the diagnosis of primary autoimmune cerebellar ataxia (PACA). Knowledge of PACA is still sparce. This article aims to highlight the relevance of anti-neurochondrin antibodies and possible therapeutical consequences in people with PACA. METHODS This is a case presentation and literature review of PACA associated with anti-neurochondrin antibodies. RESULTS A 33-year-old man noticed reduced control of the right leg in May 2020. During his first clinic appointment at our institution in September 2021, he complained about gait imbalance, fine motor disorders, tremor, intermittent diplopia and slurred speech. He presented a pancerebellar syndrome with stance, gait and limb ataxia, scanning speech and oculomotor dysfunction. Within 3 months the symptoms progressed. An initial cerebral magnetic resonance imaging, June 2020, was normal, but follow-up imaging in October 2021 and July 2022 revealed marked cerebellar atrophy (29% volume loss). Cerebrospinal fluid analysis showed lymphocytic pleocytosis of 11 x 103 /L (normal range 0-4) and oligoclonal bands type II. Anti-neurochondrin antibodies (immunoglobulin G) were detected in serum (1:10,000) and cerebrospinal fluid (1:320, by cell-based indirect immunofluorescence assay and immunoblot, analysed by the EUROIMMUN laboratory). After ruling out alternative causes and neoplasia, diagnosis of PACA was given and immunotherapy (steroids and cyclophosphamide) was started in January 2022. In March 2022 a stabilization of disease was observed. CONCLUSION Cerebellar ataxia associated with anti-neurochondrin antibodies has only been described in 19 cases; however, the number of unrecognized PACAs may be higher. As anti-neurochondrin antibodies target an intracellular antigen and exhibit a mainly cytotoxic T-cell-mediated pathogenesis, important therapeutic implications may result. Because of the severe and rapid clinical progression, aggressive immunotherapy was warranted. This case highlights the need for rapid diagnosis and therapy in PACA, as stabilization and even improvement of symptoms are attainable.
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Affiliation(s)
- Anina Schwarzwald
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
- Clinic Bethesda, Neurorehabilitation, Parkinson Centre, Epileptology, Tschugg, Switzerland
| | - Anke Salmen
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | | | - Lara Diem
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Helly Hammer
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Piotr Radojewski
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Michael Rebsamen
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Nicole Kamber
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Robert Hoepner
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Christoph Friedli
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
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Gadey N, Pataunia P, Chan A, Ríos Rincón A. Technologies for monitoring activities of daily living in older adults: a systematic review. Disabil Rehabil Assist Technol 2023:1-10. [PMID: 36964653 DOI: 10.1080/17483107.2023.2192245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2023]
Abstract
PURPOSE As the older adult population rise globally, technologies to monitoring activities of daily living (ADL) may have a role in supporting aging in place for older adults. The objective of this systematic literature review was to study the scope, diversity and readiness of technologies developed to monitor ADL in older adults. METHODS We systematically searched two scientific databases (CINAHL and IEEE), following Preferred Reporting Items for Systematic reviews and Meta Analyses (PRISMA) guidelines. We included studies on technologies used to monitor older adults' ADL in the home but excluded studies focused on communication technologies (phone calls, text messages) or monitoring postures alone. The JBI checklist for case series was used for quality assessment. Extracted details included population characteristics, ADL assessment outcomes, types of monitoring technology, and technology readiness and usability. RESULTS The search found 147 papers, with 16 papers included in the final analysis. The literature described 48 types of technologies. Of moderate quality studies, five studies used wearables at technology readiness level 4-6 to monitor basic ADL (walking, transfers and walking up stairs) and one used ambient sensors to detect urinary incontinence. CONCLUSIONS Monitoring technologies remain at development stages. More research is needed to strengthen technologies that monitor activities of daily living.Implications for rehabilitationMonitoring activities of daily living at home remains focused on using wearables to assess in-home functional mobility to support rehabilitation.Technologies remain a 4-6 readiness level and there is a lack of evidence to recommend in-home monitoring technologies.
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Affiliation(s)
- Natasha Gadey
- Department of Occupational Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Canada
| | - Patricia Pataunia
- Department of Occupational Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Canada
| | - Andrew Chan
- Department of Occupational Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Canada
- Glenrose Rehabilitation Research Center, Edmonton, Canada
| | - Adriana Ríos Rincón
- Department of Occupational Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, Canada
- Glenrose Rehabilitation Research Center, Edmonton, Canada
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Aguinam ET, Nadesalingam A, Chan A, Smith P, Paloniemi M, Cantoni D, Gronlund J, Gronlund H, Carnell GW, Castillo-Olivares J, Temperton N, Blacklaws B, Heeney JL, Baxendale H. Differential T-cell and Antibody Responses induced by mRNA versus adenoviral vectored COVID-19 vaccines in Patients with Immunodeficiencies. J Allergy Clin Immunol Glob 2023; 2:100091. [PMID: 37038555 PMCID: PMC10015741 DOI: 10.1016/j.jacig.2023.100091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 01/18/2023] [Accepted: 02/02/2023] [Indexed: 03/17/2023]
Abstract
Background Immunodeficient patients (IDPs) are at higher risk of contracting severe COVID-19 disease. Targeted vaccination strategies have been implemented to enhance vaccine-induced protection. In this population however, clinical effectiveness is variable and duration of protection unknown. Objective To understand the cellular and humoral immune responses to mRNA and adenoviral vectored COVID-19 vaccines in patients with immunodeficiency. Methods Immune responses to SARS-COV-2 spike were assessed after two doses of homologous ChAdOx1-nCoV-19 or BNT162b2 vaccines in 112 infection-naïve IDPs and 131 healthy health care workers (HCWs) as controls. Predictors of vaccine responsiveness were investigated. Results Immune responses to vaccination were low, and viral neutralisation by antibody not detected despite high titre binding responses in many IDPs. In those responding, the frequency of specific T-cell responses in IDPs was similar to controls whilst antibody responses were lower. Sustained vaccine specific differences were identified: T-cell responses were greater in ChAdOx1-nCoV-19 compared with BNT162b2 immunised IDPs and antibody binding and neutralisation was greater in all cohorts immunised with BNT162b2. The positive correlation between T-cell and antibody responses was weak and increased with subsequent vaccination. Conclusion Immunodeficient patients have impaired immune responses to mRNA and viral vector COVID-19 vaccines that appear influenced by vaccine formulation. Understanding the relative roles of T-cell and antibody mediated protection and potential of heterologous prime and boost immunization protocols is needed to optimise the vaccination approach in these high-risk groups.
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Key Words
- covid-19
- sars-cov-2
- vaccine
- chadox1-ncov-19
- bnt162b2
- immunodeficiency
- antibodies
- t-cells
- immunoglobulins
- healthcare workers
- ceft, peptides pool from human cytomegalovirus, epstein barr virus, influenza a virus and clostridium tetani
- covid-19, coronavirus disease 2019
- hcws, health care workers
- hcws-npi, health care workers with no prior covid-19 infection
- hcws-pi, health care workers with prior covid-19 infection
- hicc, humoral immune correlates of covid-19
- idps, immunodeficient patients
- iga, immunoglobulin a
- igg, immunoglobulin g
- iggrx, immunoglobulin replacement therapy
- pbmc, peripheral blood mononuclear cells
- pmn, pseudovirus micro neutralisation
- pv1, post first vaccine dose
- pv2, post second vaccine dose
- rbd, receptor binding domain
- rph, royal papworth hospital
- rx, treatment
- sars-cov-2, severe acute respiratory syndrome coronavirus 2
- sid, secondary immunodeficiency
- vocs, variants of concern
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Affiliation(s)
- Ernest T Aguinam
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, UK
| | - Angalee Nadesalingam
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, UK
| | - Andrew Chan
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, UK
| | - Peter Smith
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, UK
| | - Minna Paloniemi
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, UK
| | - Diego Cantoni
- Viral Pseudotype Unit, Medway School of Pharmacy, University of Kent, UK
| | | | | | - George W Carnell
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, UK
| | | | - Nigel Temperton
- Viral Pseudotype Unit, Medway School of Pharmacy, University of Kent, UK
| | - Barbara Blacklaws
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, UK
| | - Jonathan L Heeney
- Laboratory of Viral Zoonotics, Department of Veterinary Medicine, University of Cambridge, UK
| | - Helen Baxendale
- Royal Papworth Hospital, Cambridgeshire, UK,Correspondence to: Helen Baxendale, Royal Papworth Hospital NHS Foundation Trust, Papworth Road, Cambridge Biomedical Campus,CB2 0AY, +44 (0)1223 639508
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De Stefano N, Achiron A, Barkhof F, Chan A, Derfuss T, Hodgkinson S, Leocani L, Montalban X, Prat A, Schmierer K, Sellebjerg F, Vermersch P, Wiendl H, Keller B, Smyk A, Gardner L. Early onset of Action and Sustained Efficacy of MRI Outcomes during Cladribine Tablets Treatment in Highly Active Relapsing Multiple Sclerosis: Results of the 2-Year MAGNIFY-MS Study. Mult Scler Relat Disord 2023. [DOI: 10.1016/j.msard.2022.104322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/03/2023]
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Lu Z, Liu Y, Lee YEJ, Chan A, Lee PR, Yang H. Effect of starch addition on the physicochemical properties, molecular interactions, structures, and in vitro digestibility of the plant-based egg analogues. Food Chem 2023; 403:134390. [DOI: 10.1016/j.foodchem.2022.134390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/17/2022] [Accepted: 09/20/2022] [Indexed: 10/14/2022]
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Fernandez-Rozadilla C, Timofeeva M, Chen Z, Law P, Thomas M, Schmit S, Díez-Obrero V, Hsu L, Fernandez-Tajes J, Palles C, Sherwood K, Briggs S, Svinti V, Donnelly K, Farrington S, Blackmur J, Vaughan-Shaw P, Shu XO, Long J, Cai Q, Guo X, Lu Y, Broderick P, Studd J, Huyghe J, Harrison T, Conti D, Dampier C, Devall M, Schumacher F, Melas M, Rennert G, Obón-Santacana M, Martín-Sánchez V, Moratalla-Navarro F, Oh JH, Kim J, Jee SH, Jung KJ, Kweon SS, Shin MH, Shin A, Ahn YO, Kim DH, Oze I, Wen W, Matsuo K, Matsuda K, Tanikawa C, Ren Z, Gao YT, Jia WH, Hopper J, Jenkins M, Win AK, Pai R, Figueiredo J, Haile R, Gallinger S, Woods M, Newcomb P, Duggan D, Cheadle J, Kaplan R, Maughan T, Kerr R, Kerr D, Kirac I, Böhm J, Mecklin LP, Jousilahti P, Knekt P, Aaltonen L, Rissanen H, Pukkala E, Eriksson J, Cajuso T, Hänninen U, Kondelin J, Palin K, Tanskanen T, Renkonen-Sinisalo L, Zanke B, Männistö S, Albanes D, Weinstein S, Ruiz-Narvaez E, Palmer J, Buchanan D, Platz E, Visvanathan K, Ulrich C, Siegel E, Brezina S, Gsur A, Campbell P, Chang-Claude J, Hoffmeister M, Brenner H, Slattery M, Potter J, Tsilidis K, Schulze M, Gunter M, Murphy N, Castells A, Castellví-Bel S, Moreira L, Arndt V, Shcherbina A, Stern M, Pardamean B, Bishop T, Giles G, Southey M, Idos G, McDonnell K, Abu-Ful Z, Greenson J, Shulman K, Lejbkowicz F, Offit K, Su YR, Steinfelder R, Keku T, van Guelpen B, Hudson T, Hampel H, Pearlman R, Berndt S, Hayes R, Martinez ME, Thomas S, Corley D, Pharoah P, Larsson S, Yen Y, Lenz HJ, White E, Li L, Doheny K, Pugh E, Shelford T, Chan A, Cruz-Correa M, Lindblom A, Hunter D, Joshi A, Schafmayer C, Scacheri P, Kundaje A, Nickerson D, Schoen R, Hampe J, Stadler Z, Vodicka P, Vodickova L, Vymetalkova V, Papadopoulos N, Edlund C, Gauderman W, Thomas D, Shibata D, Toland A, Markowitz S, Kim A, Chanock S, van Duijnhoven F, Feskens E, Sakoda L, Gago-Dominguez M, Wolk A, Naccarati A, Pardini B, FitzGerald L, Lee SC, Ogino S, Bien S, Kooperberg C, Li C, Lin Y, Prentice R, Qu C, Bézieau S, Tangen C, Mardis E, Yamaji T, Sawada N, Iwasaki M, Haiman C, Le Marchand L, Wu A, Qu C, McNeil C, Coetzee G, Hayward C, Deary I, Harris S, Theodoratou E, Reid S, Walker M, Ooi LY, Moreno V, Casey G, Gruber S, Tomlinson I, Zheng W, Dunlop M, Houlston R, Peters U. Author Correction: Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries. Nat Genet 2023; 55:519-520. [PMID: 36782065 DOI: 10.1038/s41588-023-01334-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/15/2023]
Affiliation(s)
- Ceres Fernandez-Rozadilla
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
- Genomic Medicine Group, Instituto de Investigacion Sanitaria de Santiago, Santiago de Compostela, Spain
| | - Maria Timofeeva
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Danish Institute for Advanced Study, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Zhishan Chen
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Philip Law
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Minta Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stephanie Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, USA
| | - Virginia Díez-Obrero
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Juan Fernandez-Tajes
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Claire Palles
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK
| | - Kitty Sherwood
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Sarah Briggs
- Department of Public Health, Richard Doll Building, University of Oxford, Oxford, UK
| | - Victoria Svinti
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Kevin Donnelly
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Susan Farrington
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - James Blackmur
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Peter Vaughan-Shaw
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Xingyi Guo
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Yingchang Lu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Peter Broderick
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - James Studd
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Jeroen Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Tabitha Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - David Conti
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Christopher Dampier
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Mathew Devall
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Fredrick Schumacher
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Marilena Melas
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
| | - Mireia Obón-Santacana
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Spain
| | - Vicente Martín-Sánchez
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Madrid, Spain
- Biomedicine Institute, University of León, León, Spain
| | - Ferran Moratalla-Navarro
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Jae Hwan Oh
- Center for Colorectal Cancer, National Cancer Center Hospital, National Cancer Center, Gyeonggi-do, South Korea
| | - Jeongseon Kim
- Department of Cancer Biomedical Science, Graduate School of Cancer Science and Policy, National Cancer Center, Gyeonggi-do, South Korea
| | - Sun Ha Jee
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea
| | - Keum Ji Jung
- Department of Epidemiology and Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, South Korea
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea
| | - Min-Ho Shin
- Department of Preventive Medicine, Chonnam National University Medical School, Gwangju, South Korea
| | - Aesun Shin
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Cancer Research Institute, Seoul National University, Seoul, South Korea
| | - Yoon-Ok Ahn
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Dong-Hyun Kim
- Department of Social and Preventive Medicine, Hallym University College of Medicine, Okcheon-dong, South Korea
| | - Isao Oze
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Keitaro Matsuo
- Division of Molecular and Clinical Epidemiology, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Koichi Matsuda
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Tokyo, Japan
| | - Chizu Tanikawa
- Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Zefang Ren
- School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yu-Tang Gao
- State Key Laboratory of Oncogenes and Related Genes and Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wei-Hua Jia
- State Key Laboratory of Oncology in South China, Cancer Center, Sun Yat-sen University, Guangzhou, China
| | - John Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Mark Jenkins
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Rish Pai
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Jane Figueiredo
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Robert Haile
- Division of Oncology, Department of Medicine, Cedars-Sinai Cancer Research Center for Health Equity, Los Angeles, CA, USA
| | - Steven Gallinger
- Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Michael Woods
- Division of Biomedical Sciences, Memorial University of Newfoundland, St. John, Ontario, Canada
| | - Polly Newcomb
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- School of Public Health, University of Washington, Seattle, WA, USA
| | - David Duggan
- City of Hope National Medical Center, Translational Genomics Research Institute, Phoenix, AZ, USA
| | - Jeremy Cheadle
- Institute of Medical Genetics, Cardiff University, Cardiff, UK
| | - Richard Kaplan
- MRC Clinical Trials Unit, Medical Research Council, Cardiff, UK
| | - Timothy Maughan
- MRC Institute for Radiation Oncology, University of Oxford, Oxford, UK
| | - Rachel Kerr
- Department of Oncology, University of Oxford, Oxford, UK
| | - David Kerr
- Radcliffe Department of Medicine, University of Oxford, Oxford, UK
| | - Iva Kirac
- Department of Surgical Oncology, University Hospital for Tumors, Sestre milosrdnice University Hospital Center, Zagreb, Croatia
| | - Jan Böhm
- Department of Pathology, Central Finland Health Care District, Jyväskylä, Finland
| | | | - Pekka Jousilahti
- Department of Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Paul Knekt
- Department of Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Lauri Aaltonen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Harri Rissanen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Eero Pukkala
- Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Helsinki, Finland
- Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Johan Eriksson
- Folkhälsan Research Centre, University of Helsinki, Helsinki, Finland
- Human Potential Translational Research Programme, National University of Singapore, Singapore, Singapore
- Unit of General Practice and Primary Health Care, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Tatiana Cajuso
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Ulrika Hänninen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Johanna Kondelin
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Kimmo Palin
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | - Tomas Tanskanen
- Department of Medical and Clinical Genetics, University of Helsinki, Helsinki, Finland
- Genome-Scale Biology Research Program, University of Helsinki, Helsinki, Finland
| | | | - Brent Zanke
- Department of Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Satu Männistö
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephanie Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Edward Ruiz-Narvaez
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Julie Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Daniel Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, University of Melbourne, Parkville, Victoria, Australia
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Victoria, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Elizabeth Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Cornelia Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Erin Siegel
- Cancer Epidemiology Program, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Stefanie Brezina
- Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Andrea Gsur
- Institute of Cancer Research, Department of Medicine I, Medical University Vienna, Vienna, Austria
| | - Peter Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
- University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg, Hamburg, Germany
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany
- German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany
| | - Martha Slattery
- Department of Internal Medicine, University of Utah, Salt Lake City, UT, USA
| | - John Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Research Centre for Hauora and Health, Massey University, Wellington, New Zealand
| | - Konstantinos Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Matthias Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Marc Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Antoni Castells
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, University of Barcelona, Barcelona, Spain
| | - Sergi Castellví-Bel
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, University of Barcelona, Barcelona, Spain
| | - Leticia Moreira
- Gastroenterology Department, Hospital Clínic, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas, University of Barcelona, Barcelona, Spain
| | - Volker Arndt
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Anna Shcherbina
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Mariana Stern
- Department of Population and Public Health Sciences, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
- Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, South Korea
| | - Bens Pardamean
- Bioinformatics and Data Science Research Center, Bina Nusantara University, Jakarta, Indonesia
| | - Timothy Bishop
- Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, UK
| | - Graham Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Victoria, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Melissa Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
- Department of Clinical Pathology, University of Melbourne, Melbourne, Victoria, Australia
| | - Gregory Idos
- Department of Medical Oncology and Center For Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Kevin McDonnell
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
- Department of Medical Oncology and Center For Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Zomoroda Abu-Ful
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Joel Greenson
- Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
- Department of Pathology, University of Michigan, Ann Arbor, MI, USA
| | - Katerina Shulman
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Flavio Lejbkowicz
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel
- Clalit National Cancer Control Center, Haifa, Israel
- Clalit Health Services, Personalized Genomic Service, Lady Davis Carmel Medical Center, Haifa, Israel
| | - Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
| | - Yu-Ru Su
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Robert Steinfelder
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Temitope Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Bethany van Guelpen
- Department of Radiation Sciences, Oncology Unit, Umeå University, Umeå, Sweden
- Wallenberg Centre for Molecular Medicine, Umeå University, Umeå, Sweden
| | - Thomas Hudson
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Heather Hampel
- Division of Human Genetics, Department of Internal Medicine, Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Rachel Pearlman
- Division of Human Genetics, Department of Internal Medicine, Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Sonja Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Richard Hayes
- Division of Epidemiology, Department of Population Health, New York University School of Medicine, New York, NY, USA
| | - Marie Elena Martinez
- Population Sciences, Disparities and Community Engagement, University of California San Diego Moores Cancer Center, La Jolla, CA, USA
- Department of Family Medicine and Public Health, University of California San Diego, La Jolla, CA, USA
| | - Sushma Thomas
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Douglas Corley
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
- Department of Gastroenterology, Kaiser Permanente Medical Center, San Francisco, CA, USA
| | - Paul Pharoah
- Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Susanna Larsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Yun Yen
- Taipei Medical University, Taipei, Taiwan
| | - Heinz-Josef Lenz
- Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Li Li
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH, USA
| | - Kimberly Doheny
- Center for Inherited Disease Research, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elizabeth Pugh
- Center for Inherited Disease Research, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tameka Shelford
- Center for Inherited Disease Research, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Andrew Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Marcia Cruz-Correa
- Comprehensive Cancer Center, University of Puerto Rico, San Juan, Puerto Rico
| | - Annika Lindblom
- Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - David Hunter
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Amit Joshi
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Clemens Schafmayer
- Department of General Surgery, University Hospital Rostock, Rostock, Germany
| | - Peter Scacheri
- Department of Genetics and Genome Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Deborah Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Robert Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Jochen Hampe
- Department of Medicine I, University Hospital Dresden, Technische Universität Dresden, Dresden, Germany
| | - Zsofia Stadler
- Department of Medicine, Weill Cornell Medical College, New York, NY, USA
- Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY, USA
| | - Pavel Vodicka
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Ludmila Vodickova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Veronika Vymetalkova
- Department of Molecular Biology of Cancer, Institute of Experimental Medicine of the Czech Academy of Sciences, Prague, Czech Republic
- Institute of Biology and Medical Genetics, First Faculty of Medicine, Charles University, Prague, Czech Republic
- Faculty of Medicine and Biomedical Center in Pilsen, Charles University, Pilsen, Czech Republic
| | - Nickolas Papadopoulos
- Department of Oncology Ludwig Center at the Sidney Kimmel Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Chistopher Edlund
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - William Gauderman
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Duncan Thomas
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - David Shibata
- Department of Surgery, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Amanda Toland
- Departments of Cancer Biology and Genetics and Internal Medicine, Comprehensive Cancer Center, Ohio State University, Columbus, OH, USA
| | - Sanford Markowitz
- Departments of Medicine and Genetics, Case Comprehensive Cancer Center, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, OH, USA
| | - Andre Kim
- Department of Preventive Medicine, USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Franzel van Duijnhoven
- Division of Human Nutrition and Health, Wageningen University and Research, Wageningen, The Netherlands
| | - Edith Feskens
- Division of Human Nutrition, Wageningen University and Research, Wageningen, The Netherlands
| | - Lori Sakoda
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Manuela Gago-Dominguez
- Genomic Medicine Group, Galician Public Foundation of Genomic Medicine, Servicio Galego de Saude, Santiago de Compostela, Spain
- Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Alessio Naccarati
- Italian Institute for Genomic Medicine, Candiolo Cancer Institute FPO-IRCCS, Candiolo (TO), Italy
- Candiolo Cancer Institute FPO-IRCCS, Candiolo (TO), Italy
| | - Barbara Pardini
- Italian Institute for Genomic Medicine, Candiolo Cancer Institute FPO-IRCCS, Candiolo (TO), Italy
- Candiolo Cancer Institute FPO-IRCCS, Candiolo (TO), Italy
| | - Liesel FitzGerald
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Soo Chin Lee
- National University Cancer Institute, Singapore, Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Cancer Immunology Program, Dana-Farber Harvard Cancer Center, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stephanie Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Christopher Li
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Yi Lin
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ross Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire Nantes, Nantes, France
| | - Catherine Tangen
- SWOG Statistical Center, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Elaine Mardis
- Department of Pediatrics, Nationwide Children's Hospital, The Steve and Cindy Rasmussen Institute for Genomic Medicine, Columbus, OH, USA
| | - Taiki Yamaji
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Norie Sawada
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Motoki Iwasaki
- Division of Epidemiology, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
- Division of Cohort Research, National Cancer Center Institute for Cancer Control, National Cancer Center, Tokyo, Japan
| | - Christopher Haiman
- Department of Preventive Medicine, Center for Genetic Epidemiology, University of Southern California, Los Angeles, CA, USA
| | | | - Anna Wu
- Preventative Medicine, University of Southern California, Los Angeles, CA, USA
| | - Chenxu Qu
- USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Caroline McNeil
- USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Ian Deary
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Sarah Harris
- Lothian Birth Cohorts group, Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Evropi Theodoratou
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh, UK
| | - Stuart Reid
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Marion Walker
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Li Yin Ooi
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Department of Pathology, National University Hospital, National University Health System, Singapore, Singapore
| | - Victor Moreno
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, Spain
- Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health, Madrid, Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Graham Casey
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Stephen Gruber
- Department of Medical Oncology and Center For Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Ian Tomlinson
- Edinburgh Cancer Research Centre, Institute of Genomics and Cancer, University of Edinburgh, Edinburgh, UK.
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham, UK.
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt Epidemiology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Malcolm Dunlop
- Colon Cancer Genetics Group, Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
| | - Richard Houlston
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK.
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
- Department of Epidemiology, University of Washington, Seattle, WA, USA.
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Hecht JR, Raman SS, Chan A, Kalinsky K, Baurain JF, Jimenez MM, Garcia MM, Berger MD, Lauer UM, Khattak A, Carrato A, Zhang Y, Liu K, Cha E, Keegan A, Bhatta S, Strassburg CP, Roohullah A. Phase Ib study of talimogene laherparepvec in combination with atezolizumab in patients with triple negative breast cancer and colorectal cancer with liver metastases. ESMO Open 2023; 8:100884. [PMID: 36863095 PMCID: PMC10163149 DOI: 10.1016/j.esmoop.2023.100884] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 12/01/2022] [Accepted: 01/21/2023] [Indexed: 03/04/2023] Open
Abstract
BACKGROUND Talimogene laherparepvec (T-VEC), a first-in-class oncolytic viral immunotherapy, enhances tumor-specific immune activation. T-VEC combined with atezolizumab, which blocks inhibitor T-cell checkpoints, could provide greater benefit than either agent alone. Safety/efficacy of the combination was explored in patients with triple negative breast cancer (TNBC) or colorectal cancer (CRC) with liver metastases. METHODS In this phase Ib, multicenter, open-label, parallel cohort study of adults with TNBC or CRC with liver metastases, T-VEC (106 then 108 PFU/ml; ≤4 ml) was administered into hepatic lesions via image-guided injection every 21 (±3) days. Atezolizumab 1200 mg was given on day 1 and every 21 (±3) days thereafter. Treatment continued until patients experienced dose-limiting toxicity (DLT), had complete response, progressive disease, needed alternative anticancer treatment, or withdrew due to an adverse event (AE). The primary endpoint was DLT incidence, and secondary endpoints included efficacy and AEs. RESULTS Between 19 March 2018 and 6 November 2020, 11 patients with TNBC were enrolled (safety analysis set: n = 10); between 19 March 2018 and 16 October 2019, 25 patients with CRC were enrolled (safety analysis set: n = 24). For the 5 patients in the TNBC DLT analysis set, no patient had DLT; for the 18 patients in the CRC DLT analysis set, 3 (17%) had DLT, all serious AEs. AEs were reported by 9 (90%) TNBC and 23 (96%) CRC patients, the majority with grade ≥3 [TNBC, 7 (70%); CRC, 13 (54%)], and 1 was fatal [CRC, 1 (4%)]. Evidence of efficacy was limited. Overall response rate was 10% (95% confidence interval 0.3-44.5) for TNBC; one (10%) patient had a partial response. For CRC, no patients had a response; 14 (58%) were unassessable. CONCLUSIONS The safety profile reflected known risks with T-VEC including risks of intrahepatic injection; no unexpected safety findings from addition of atezolizumab to T-VEC were observed. Limited evidence of antitumor activity was observed.
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Affiliation(s)
- J R Hecht
- Division of Hematology/Oncology, David Geffen School of Medicine at UCLA, Santa Monica, USA.
| | - S S Raman
- Department of Radiology, David Geffen School of Medicine at UCLA, Santa Monica, USA
| | - A Chan
- Breast Cancer Research Centre - WA & Curtin University, Perth Breast Cancer Institute Hollywood Consulting Centre, Nedlands, Australia
| | - K Kalinsky
- Emory Winship Cancer Institute, Atlanta, USA
| | - J-F Baurain
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - M M Jimenez
- Hospital General Universitario Gregorio Marañon, Universidad Complutense, CIBERONC, Madrid, Spain
| | - M M Garcia
- Department of Medical Oncology, Hospital del Mar, CIOCC Barcelona, CIBERONC, Barcelona, Spain
| | - M D Berger
- Department of Medical Oncology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - U M Lauer
- Department of Medical Oncology and Pneumology, Virotherapy Center Tübingen, University Hospital Tübingen, Tübingen, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), partner site Tübingen, Tübingen, Germany
| | - A Khattak
- Fiona Stanley Hospital & Edith Cowan University, Perth, Australia
| | - A Carrato
- Medical Oncology Department, Ramon y Cajal University Hospital, Alcala University, IRYCIS, CIBERONC, Madrid, Spain; Pancreatic Cancer Europe Chairman, Brussels, Belgium
| | - Y Zhang
- Virginia Oncology Associates, Norfolk, USA
| | - K Liu
- Amgen Inc., Thousand Oaks, USA
| | - E Cha
- Genentech, South San Francisco, USA
| | | | | | - C P Strassburg
- Department of Medicine I, University Hospital Bonn, Medical Clinic and Polyclinic I, Bonn, Germany
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Abd Razak R, Chan A, Pang CM, Lew J, Zamridin SH. Integration of Dynamic, Static and Seismic Models: Developing High Precision Target Drilling for Matured Fields. Day 3 Fri, March 03, 2023 2023. [DOI: 10.2523/iptc-22943-ea] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
Abstract
Ageing fields are often in a race against depreciating Net Present Value (NPV) and decreasing production, advent of rising water contacts threatening daily and cumulative production. Static geological models form the primary input model into dynamic models which define and determine the development strategy of fields. Typically, dynamic models built from incipient seismic and geological models comprising of well data from early appraisal wells. In time, incorporation of production data refines the dynamic behaviors of field and in turn, these dynamic models are then used for subsequent re-development of the ageing fields. However, the incipient seismic models rarely receive similar updates as seismic acquisition are too costly to justify in an ageing asset with ever-depreciating NPV.
This paper illustrates the process undertaken by subsurface team in identifying potential sites constraints by seismic and geological studies, in comparison with initial oilfield production incorporating pressure data to identify sweep efficiency. Starting with understanding a reservoir that experienced poor injection support, has led to unearthing the presence of faults that were not identified in previous seismic interpretations, and thus compartmentalizing the reservoir. The presence of the ‘unseen’ barriers in between an injector and an oil producer has hampered the injection effort towards the producer, and thus has been detrimental to the health of the reservoir.
In lieu of the renewed understanding of the reservoir with regards to field compartmentalization which is recognized as key threat to water injection performance in Reservoir-L, usage of artificial intelligence machine-learning generated fault volumes helped define compartments better. The results indicate the NNW-SSE conjugate (shear) faults formed during the Mid-Late Miocene times which were not clearly demarcated on earlier seismic, play key contributing role with regards to connectivity and intra-field communication. This in turn led to revised understanding on areas of reduced production that led to model updates in line with production behaviors.
Based on the new model, well location optimizations were undertaken for two water injectors in the infill drilling campaign for shallower Reservoir-K of Field S to avoid potential compartmentalization that would impact the sweep efficiency. Relocation of the water injectors into the same reservoir compartment as the target oil producer was expected to improve the EUR by ensuring direct sweep and good injectivity to the producer.
In summary, by revisiting field models in advent of updating and recalibrating the dynamic model in view of historical production data, the team was able to update the model contributing towards field revitalization and field management in ensuring the field model delivers to the field development plan. The hard work from the team has paid out through the recent production performance of the reservoir.
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Hu Y, Li J, Zhu L, Wang B, Li Y, Ivey KL, Lee KH, Eliassen A, Qi Q, Chan A, Huttenhower C, Rimm EB, Hu FB, Sun Q. Abstract MP66: The Interplay Between Diet, Circulating Indolepropionate Concentrations, and Cardiometabolic Health in US Populations. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.mp66] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/17/2023]
Abstract
Background:
Indolepropionate (IPA), a tryptophan metabolite of human gut microbiota origin, is associated with lower risk of type 2 diabetes (T2D) in humans. The complex interplay among tryptophan intake, the gut microbiome, prebiotics, circulating IPA concentrations, and T2D risk has not been investigated.
Objectives:
We aimed to identify IPA-producing gut microbiota species and investigate potential diet-microbiota interaction on circulating IPA concentrations.
Methods:
We included 287 men from the Men’s Lifestyle Validation Study, a sub-study of the Health Professionals Follow-Up Study (HPFS), who provided up to two pairs of fecal samples and two blood samples approximately six months apart. Dietary intake was assessed using 7-day diet records. We identified microbial taxonomic features associated with plasma IPA concentrations using generalized linear regression and calculated a rank-based species score to reflect IPA-producing potential. Associations between plasma concentrations of tryptophan metabolites and T2D risk were examined in 13,032 participants from Nurses’ Health Study (NHS), NHSII, and HPFS.
Results:
Plasma IPA concentrations were associated with overall gut microbial profiles (permutational analysis of variance test, p=0.001). We identified 17 microbial species, such as
Eubacterium eligens, Butyrivibrio crossotus
, and
Faecalibacterium prausnitzii
, whose abundance was significantly associated with increased plasma IPA concentrations (false discovery rate < 0.05). A significant association between higher tryptophan intake and higher IPA concentrations was only observed among men who had higher fiber intake and a higher microbial species score consisting of the 17 species (p-interaction < 0.01). Similar modulation was also observed for major tryptophan food contributors including vegetables (p-interaction < 0.01), red/processed meat (p-interaction = 0.02), egg (p-interaction 0.01), dairy (p-interaction = 0.01), and whole grain (p-interaction < 0.01). Moreover, interactions persisted for all fiber subtypes (soluble/insoluble fiber and pectin). We documented 1,744 incident T2D cases during 218,603 person-years of follow-up. Plasma concentrations of tryptophan and three kynurenine-pathway metabolites (kynurenine, xanthurenate, and quinolinate) were positively associated with T2D risk while an inverse association was found for IPA.
Conclusions:
Specific microbial species and dietary fiber jointly modulate the associations between tryptophan intake and circulating IPA concentrations. In a subsequent analysis, IPA levels were predictive of lower T2D risk. Our findings suggest that the health effects of dietary tryptophan may depend on both gut microbiome composition and prebiotic consumption.
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Affiliation(s)
| | - Jun Li
- Brigham and Women's Hosp, Boston, MA
| | - Lu Zhu
- Harvard T.H. Chen Sch of Public Health, Boston, MA
| | | | | | | | - Kyu Ha Lee
- Harvard Sch of Public Health, Boston, MA
| | | | - Qibin Qi
- ALBERT EINSTEIN COLLEGE OF MEDICINE, Bronx, NY
| | | | | | | | - Frank B Hu
- HARVARD SCHOOL OF PUBLIC HEALTH, Boston, MA
| | - Qi Sun
- HARVARD SCHOOL OF PUBLIC HEALTH, Boston, MA
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León Betancourt A, Schwarzwald A, Millonig A, Oberholzer M, Sabater L, Hammer H, Kamber N, Diem L, Chan A, Hoepner R, Salmen A, Friedli C. Anti-kelchlike protein 11 antibody-associated encephalitis: Two case reports and review of the literature. Eur J Neurol 2023; 30:1801-1814. [PMID: 36815561 DOI: 10.1111/ene.15758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/19/2023] [Accepted: 02/20/2023] [Indexed: 02/24/2023]
Abstract
BACKGROUND AND PURPOSE Kelchlike protein 11 antibodies (KLHL11-IgGs) were first described in 2019 as a marker of paraneoplastic neurological syndromes (PNSs). They have mostly been associated with testicular germ cell tumors (tGCTs). METHODS Two patients with KLHL11-IgG encephalitis are reported, and the literature is comprehensively reviewed. RESULTS Patient 1 had been in remission from a tGCT 10 years prior. He developed episodic vertigo and diplopia progressing over a few days. Treatment with corticosteroids (CSs) was started a few days after symptom onset. Patient 2 had transient diplopia, which resolved spontaneously. Visual problems persisted for 7 months, when he additionally developed a progressive cerebellar syndrome. One year after onset, CS treatment was started. Initial magnetic resonance imaging was unremarkable in both patients, but analysis of cerebrospinal fluid (CSF) revealed chronic inflammation. KLHL11-IgG was positive in both patients (Patient 1 only in CSF, Patient 2 in serum). Neoplastic screening has so far not revealed any signs of active underlying malignancy. We found 15 publications of 112 patients in total with KLHL11-IgG encephalitis. Most patients (n = 82) had a cerebellar syndrome with or without signs of rhombencephalitis. The most common symptoms were ataxia (n = 82) and vertigo (n = 47), followed by oculomotor disturbances (n = 35) and hearing disorders (n = 31). Eighty of 84 patients had a GCT as an underlying tumor. CONCLUSIONS Our cases demonstrate classical symptoms of KLHL11-IgG encephalitis. Early diagnosis and therapy are imperative. As with other PNSs, clinical awareness is needed and further studies are required especially in regard to therapeutic management.
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Affiliation(s)
- Alejandro León Betancourt
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Anina Schwarzwald
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Alban Millonig
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Michael Oberholzer
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Lidia Sabater
- Neuroimmunology Unit, Institut d'Investigacions Biomèdiques August Pi i Sunyer, Fundació Clínic per a la Recerca Biomèdica, University Hospital Barcelona, Barcelona, Spain
| | - Helly Hammer
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Nicole Kamber
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Lara Diem
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Robert Hoepner
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Anke Salmen
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
| | - Christoph Friedli
- Department of Neurology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland
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46
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Van As NJ, Tree A, Ostler PJ, van der Voet H, Ford D, Tolan S, Wells P, Mahmood R, Winkler M, Chan A, Thompson A, Ogden C, Brown S, Pugh J, Burnett SM, Griffin C, Patel J, Naismith O, Hall E. PACE-A: An international phase 3 randomised controlled trial (RCT) comparing stereotactic body radiotherapy (SBRT) to surgery for localised prostate cancer (LPCa)—Primary endpoint analysis. J Clin Oncol 2023. [DOI: 10.1200/jco.2023.41.6_suppl.298] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Abstract
298 Background: People presenting with early-stage LPCa have several treatment options. There is therapeutic equipoise with lack of randomised evidence for superiority of radiotherapy or surgery. PACE-A aimed to determine if there is improved quality of life (QoL) following SBRT compared to surgery. Methods: PACE (NCT01584258) is a phase 3 open-label multiple-cohort RCT. In PACE-A, people with LPCa, T1-T2, Gleason≤3+4, PSA≤20ng/mL & suitable for surgery were randomised (1:1) to SBRT or surgery. SBRT dose was 36.25Gy/5 fractions in 1-2 weeks; surgery was laparoscopic or robotically assisted prostatectomy. Androgen deprivation was not permitted. Co-primary endpoints were patient reported outcomes (PROs) of Expanded Prostate Index Composite (EPIC-26) questionnaire number of absorbent pads per day & EPIC bowel subdomain score at 2 years. Target sample size was 234 participants (pts) to detect 9% difference in urinary incontinence (80% power, 5% 2-sided alpha) & 5-point difference in mean bowel subdomain score (90% power, 5% 2-sided alpha) with higher EPIC score (range 0-100) indicating better QoL. Secondary endpoints included clinician reported toxicity and additional PROs (1% significance level). Analysis is by treatment received. Results: From Aug 2012 to Feb 2022, 123 men from 10 UK centres were randomised. The IDMC advised stopping recruitment after a 2-year gap in during COVID. Pts had median age 66years (IQR: 61, 69), median PSA 8ng/ml (6, 11) with 52% tumours ≥T2b and 79% Gleason 3+4; 93% pts were of white race. 58/63 pts received SBRT as allocated (2 received surgery, 2 unknown, 1 withdrawn); 48/60 received surgery as allocated (1 received SBRT, 3 received CRT, 2 unknown, 6 withdrawn). 8 laparoscopic and 42 robotic assisted operations were performed. Median follow-up is 50 months (IQR 41, 74). At 2 years, fewer SBRT pts reported use of urinary pads: 2/43 (4.5%) vs 15/32 (46.9%), p<0.001. SBRT pts had significantly worse bowel subdomain score (mean (SD) 88.4 (12.7) vs 97.3 (5.5), p<0.001). 7/45 (15.6%) SBRT and 0/31 (0%) surgery pts reported moderate/big problem with bowel symptoms (p=0.04). SBRT pts reported less EPIC sexual subdomain score (58.0 (31.9) vs 29.3 (20.5), p<0.001); there was no evidence of a difference in urinary subdomain score (85.5 (19.8) vs 80.5 (20.8), p=0.29). At 2 years, CTCAE genitourinary grade 2 or higher(G2+) toxicity was seen in 5/54 (9.3%) SBRT vs 4/42 (9.5%) surgery pts (p=0.97); there was no G2+ gastrointestinal (GI) events seen in either group. Conclusions: PACE-A contributes the first randomised data to the comparison of SBRT with surgery in LPCa providing PRO data relevant to informed decision making. Compared to surgery, pts receiving SBRT had better urinary continence & sexual bother score; clinician reported GI toxicity was low but SBRT pts reported more bowel bother at 2 years. Clinical trial information: NCT01584258 .
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Affiliation(s)
- Nicholas John Van As
- The Royal Marsden NHS Foundation Trust/Institute of Cancer Research, United Kingdom, London, United Kingdom
| | - Alison Tree
- The Royal Marsden NHS Foundation Trust/Institute of Cancer Research, London, United Kingdom
| | | | | | - Daniel Ford
- Queen Elizabeth Hospital Birmingham, Birmingham, United Kingdom
| | - Shaun Tolan
- The Clatterbridge Cancer Centre NHS Foundation Trust, Wirral, United Kingdom
| | - Paula Wells
- St Bartholomew's Hospital, London, United Kingdom
| | - Rana Mahmood
- Colchester General Hospital, Colchester, United Kingdom
| | | | - Andrew Chan
- University Hospitals Coventry & Warwickshire NHS Trust, Coventry, United Kingdom
| | - Alan Thompson
- The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | | | | | - Julia Pugh
- The Institute of Cancer Research, London, United Kingdom
| | | | - Clare Griffin
- The Institute of Cancer Research, London, United Kingdom
| | - Jaymini Patel
- The Institute of Cancer Research, London, United Kingdom
| | - Olivia Naismith
- Radiotherapy Trials Quality Assurance (RTTQA), Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Emma Hall
- The Institute of Cancer Research, Clinical Trials and Statistics Unit, London, United Kingdom
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Mavragani A, Bruhin LC, Schütz N, Naef AC, Hegi H, Reuse P, Schindler KA, Krack P, Wiest R, Chan A, Nef T, Gerber SM. Development of an Open-source and Lightweight Sensor Recording Software System for Conducting Biomedical Research: Technical Report. JMIR Form Res 2023; 7:e43092. [PMID: 36800219 PMCID: PMC9985000 DOI: 10.2196/43092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/28/2022] [Accepted: 01/03/2023] [Indexed: 02/18/2023] Open
Abstract
BACKGROUND Digital sensing devices have become an increasingly important component of modern biomedical research, as they help provide objective insights into individuals' everyday behavior in terms of changes in motor and nonmotor symptoms. However, there are significant barriers to the adoption of sensor-enhanced biomedical solutions in terms of both technical expertise and associated costs. The currently available solutions neither allow easy integration of custom sensing devices nor offer a practicable methodology in cases of limited resources. This has become particularly relevant, given the need for real-time sensor data that could help lower health care costs by reducing the frequency of clinical assessments performed by specialists and improve access to health assessments (eg, for people living in remote areas or older adults living at home). OBJECTIVE The objective of this paper is to detail the end-to-end development of a novel sensor recording software system that supports the integration of heterogeneous sensor technologies, runs as an on-demand service on consumer-grade hardware to build sensor systems, and can be easily used to reliably record longitudinal sensor measurements in research settings. METHODS The proposed software system is based on a server-client architecture, consisting of multiple self-contained microservices that communicated with each other (eg, the web server transfers data to a database instance) and were implemented as Docker containers. The design of the software is based on state-of-the-art open-source technologies (eg, Node.js or MongoDB), which fulfill nonfunctional requirements and reduce associated costs. A series of programs to facilitate the use of the software were documented. To demonstrate performance, the software was tested in 3 studies (2 gait studies and 1 behavioral study assessing activities of daily living) that ran between 2 and 225 days, with a total of 114 participants. We used descriptive statistics to evaluate longitudinal measurements for reliability, error rates, throughput rates, latency, and usability (with the System Usability Scale [SUS] and the Post-Study System Usability Questionnaire [PSSUQ]). RESULTS Three qualitative features (event annotation program, sample delay analysis program, and monitoring dashboard) were elaborated and realized as integrated programs. Our quantitative findings demonstrate that the system operates reliably on consumer-grade hardware, even across multiple months (>420 days), providing high throughput (2000 requests per second) with a low latency and error rate (<0.002%). In addition, the results of the usability tests indicate that the system is effective, efficient, and satisfactory to use (mean usability ratings for the SUS and PSSUQ were 89.5 and 1.62, respectively). CONCLUSIONS Overall, this sensor recording software could be leveraged to test sensor devices, as well as to develop and validate algorithms that are able to extract digital measures (eg, gait parameters or actigraphy). The proposed software could help significantly reduce barriers related to sensor-enhanced biomedical research and allow researchers to focus on the research questions at hand rather than on developing recording technologies.
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Affiliation(s)
| | - Lena C Bruhin
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Narayan Schütz
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.,DomoHealth SA, Lausanne, Switzerland
| | - Aileen C Naef
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Heinz Hegi
- Department of Sport Science, University of Bern, Bern, Switzerland
| | - Pascal Reuse
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
| | - Kaspar A Schindler
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Paul Krack
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Roland Wiest
- Support Center for Advanced Neuroimaging (SCAN), University Institute of Diagnostic and Interventional Neuroradiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Tobias Nef
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.,Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Stephan M Gerber
- Gerontechnology and Rehabilitation Group, ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland
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Hutton J, Gunatillake T, Barnes D, Phillips G, Maplesden J, Chan A, Shanahan P, Zordan R, Sundararajan V, Arabena K, Quigley A, Pynor-Greedy T, Mason T. Characteristics of First Nations patients who take their own leave from an inner-city emergency department, 2016-2020. Emerg Med Australas 2023; 35:74-81. [PMID: 36041727 PMCID: PMC10087393 DOI: 10.1111/1742-6723.14057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 06/29/2022] [Accepted: 07/26/2022] [Indexed: 01/19/2023]
Abstract
OBJECTIVE Using a strength-based framework, we aimed to describe and compare First Nations patients who completed care in an ED to those who took their own leave. METHODS Routinely collected adult patient data from a metropolitan ED collected over a 5-year period were analysed. RESULTS A total of 6446 presentations of First Nations patients occurred from 2016 to 2020, constituting 3% of ED presentations. Of these, 5589 (87%) patients waited to be seen and 857 (13%) took their own leave. Among patients who took their own leave, 624 (73%) left not seen and 233 (27%) left at own risk after starting treatment. Patients who were assigned a triage category of 4-5 were significantly more likely to take their own leave (adjusted odds ratio [OR] 3.17, 95% confidence interval [CI] 2.67-3.77, P < 0.001). Patients were significantly less likely to take their own leave if they were >60 years (adjusted OR 0.69, 95% CI 1.01-1.36, P = 0.014) and had private health insurance (adjusted OR 0.61, 95% CI 0.45-0.84, P < 0.001). Patients were more likely to leave if they were women (adjusted OR 1.17, 95% CI 1.01-1.36, P = 0.04), had an unknown housing status (adjusted OR 1.76, 95% CI 1.44-2.15, P < 0.001), were homeless (adjusted OR 1.50, 95% CI 1.22-1.93, P < 0.001) or had a safety alert (adjusted OR 1.60, 95% CI 1.35-1.90, P < 0.001). CONCLUSION A lower triage category is a strong predictor of First Nations patients taking their own leave. It has been documented that First Nations patients are under-triaged. One proposed intervention in the metropolitan setting is to introduce practices which expediate the care of First Nations patients. Further qualitative studies with First Nations patients should be undertaken to determine successful approaches to create equitable access to emergency healthcare for this population.
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Affiliation(s)
- Jennie Hutton
- Emergency Department, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia.,Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Tilini Gunatillake
- Victorian Comprehensive Cancer Centre, The University of Melbourne, Melbourne, Victoria, Australia
| | - Deborah Barnes
- Aboriginal Health Unit, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Georgina Phillips
- Emergency Department, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia.,Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia.,School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jacqueline Maplesden
- Emergency Department, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Andrew Chan
- Complex Care Services, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Prudence Shanahan
- Department of Psychiatry, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Rachel Zordan
- Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia.,Education and Learning, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Vijaya Sundararajan
- Department of Medicine, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Victoria, Australia
| | - Kerry Arabena
- Karabena Consulting, Melbourne, Victoria, Australia.,Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Alyssa Quigley
- St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - T'ia Pynor-Greedy
- Aboriginal Health Unit, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
| | - Toni Mason
- Aboriginal Health Unit, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia
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Tanasescu R, Chan A. To predict or not to predict: Multiple sclerosis and B-cell subset-specific genetic risk scores. Eur J Neurol 2023; 30:299-300. [PMID: 36263605 DOI: 10.1111/ene.15609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 10/12/2022] [Indexed: 01/07/2023]
Affiliation(s)
- Radu Tanasescu
- Academic Clinical Neurology, School of Medicine, University of Nottingham, Nottingham, UK
- Department of Neurology, Nottingham University Hospitals National Health Service Trust, Queen's Medical Centre, Nottingham, UK
| | - Andrew Chan
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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50
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Faust TE, Feinberg PA, O’Connor C, Kawaguchi R, Chan A, Strasburger H, Masuda T, Amann L, Knobeloch KP, Prinz M, Schaefer A, Schafer DP. A comparative analysis of microglial inducible Cre lines. bioRxiv 2023:2023.01.09.523268. [PMID: 36711492 PMCID: PMC9881995 DOI: 10.1101/2023.01.09.523268] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Cre/LoxP technology has revolutionized genetic studies and allowed for spatial and temporal control of gene expression in specific cell types. The field of microglial biology has particularly benefited from this technology as microglia have historically been difficult to transduce with virus or electroporation methods for gene delivery. Here, we interrogate four of the most widely available microglial inducible Cre lines. We demonstrate varying degrees of recombination efficiency and spontaneous recombination, depending on the Cre line and loxP distance. We also establish best practice guidelines and protocols to measure recombination efficiency in microglia, which could be extended to other cell types. There is increasing evidence that microglia are key regulators of neural circuit structure and function. Microglia are also major drivers of a broad range of neurological diseases. Thus, reliable manipulation of their function in vivo is of utmost importance. Identifying caveats and benefits of all tools and implementing the most rigorous protocols are crucial to the growth of the field of microglial biology and the development of microglia-based therapeutics.
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Affiliation(s)
- Travis E. Faust
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Philip A. Feinberg
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | - Ciara O’Connor
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
| | | | - Andrew Chan
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai
| | | | - Takahiro Masuda
- Institute of Neuropathology, Medical Faculty, University of Freiburg, Freiburg, Germany
- Department of Molecular and System Pharmacology, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan
| | - Lukas Amann
- Institute of Neuropathology, Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Klaus-Peter Knobeloch
- Institute of Neuropathology, Medical Faculty, University of Freiburg, Freiburg, Germany
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
| | - Marco Prinz
- Institute of Neuropathology, Medical Faculty, University of Freiburg, Freiburg, Germany
- Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University
- Signalling Research Centres BIOSS and CIBSS, University of Freiburg, Freiburg, Germany
| | - Anne Schaefer
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai
- Max Planck Institute for Biology of Ageing, Cologne
| | - Dorothy P. Schafer
- Department of Neurobiology, Brudnick Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA
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