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Ontaneda D, Chitnis T, Rammohan K, Obeidat AZ. Identification and management of subclinical disease activity in early multiple sclerosis: a review. J Neurol 2024; 271:1497-1514. [PMID: 37864717 PMCID: PMC10972995 DOI: 10.1007/s00415-023-12021-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/22/2023] [Accepted: 09/24/2023] [Indexed: 10/23/2023]
Abstract
IMPORTANCE Early treatment initiation in multiple sclerosis (MS) is crucial in preventing irreversible neurological damage and disability progression. The current assessment of disease activity relies on relapse rates and magnetic resonance imaging (MRI) lesion activity, but inclusion of other early, often "hidden," indicators of disease activity may describe a more comprehensive picture of MS. OBSERVATIONS Early indicators of MS disease activity other than relapses and MRI activity, such as cognitive impairment, brain atrophy, and fatigue, are not typically captured by routine disease monitoring. Furthermore, silent progression (neurological decline not clearly captured by standard methods) may occur undetected by relapse and MRI lesion activity monitoring. Consequently, patients considered to have no disease activity actually may have worsening disease, suggesting a need to revise MS management strategies with respect to timely initiation and escalation of disease-modifying therapy (DMT). Traditionally, first-line MS treatment starts with low- or moderate-efficacy therapies, before escalating to high-efficacy therapies (HETs) after evidence of breakthrough disease activity. However, multiple observational studies have shown that early initiation of HETs can prevent or reduce disability progression. Ongoing randomized clinical trials are comparing escalation and early HET approaches. CONCLUSIONS AND RELEVANCE There is an urgent need to reassess how MS disease activity and worsening are measured. A greater awareness of "hidden" indicators, potentially combined with biomarkers to reveal silent disease activity and neurodegeneration underlying MS, would provide a more complete picture of MS and allow for timely therapeutic intervention with HET or switching DMTs to address suboptimal treatment responses.
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Affiliation(s)
- Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Department of Neurology, Cleveland Clinic, Cleveland, OH, USA.
| | - Tanuja Chitnis
- Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kottil Rammohan
- Division of Multiple Sclerosis, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Ahmed Z Obeidat
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
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2
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Yazici I, Krieger B, Bellenberg B, Ladopoulos T, Gold R, Schneider R, Lukas C. Automatic estimation of brain parenchymal fraction in patients with multple sclerosis: a comparison between synthetic MRI and an established automated brain segmentation software based on FSL. Neuroradiology 2024; 66:193-205. [PMID: 38110539 PMCID: PMC10805841 DOI: 10.1007/s00234-023-03264-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 12/04/2023] [Indexed: 12/20/2023]
Abstract
PURPOSE We aimed to validate the estimation of the brain parenchymal fraction (BPF) in patients with multiple sclerosis (MS) using synthetic magnetic resonance imaging (SyMRI) by comparison with software tools of the FMRIB Software Library (FSL). In addition to a cross-sectional method comparison, longitudinal volume changes were assessed to further elucidate the suitability of SyMRI for quantification of disease-specific changes. METHODS MRI data from 216 patients with MS and 28 control participants were included for volume estimation by SyMRI and FSL-SIENAX. Moreover, longitudinal data from 35 patients with MS were used to compare registration-based percentage brain volume changes estimated using FSL-SIENA to difference-based calculations of volume changes using SyMRI. RESULTS We observed strong correlations of estimated brain volumes between the two methods. While SyMRI overestimated grey matter and BPF compared to FSL-SIENAX, indicating a systematic bias, there was excellent agreement according to intra-class correlation coefficients for grey matter and good agreement for BPF and white matter. Bland-Altman plots suggested that the inter-method differences in BPF were smaller in patients with brain atrophy compared to those without atrophy. Longitudinal analyses revealed a tendency for higher atrophy rates for SyMRI than for SIENA, but SyMRI had a robust correlation and a good agreement with SIENA. CONCLUSION In summary, BPF based on data from SyMRI and FSL-SIENAX is not directly transferable because an overestimation and higher variability of SyMRI values were observed. However, the consistency and correlations between the two methods were satisfactory, and SyMRI was suitable to quantify disease-specific atrophy in MS.
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Affiliation(s)
- Ilyas Yazici
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstrasse 56, 44791, Bochum, Germany
| | - Britta Krieger
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstrasse 56, 44791, Bochum, Germany
| | - Barbara Bellenberg
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstrasse 56, 44791, Bochum, Germany
| | - Theodoros Ladopoulos
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791, Bochum, Germany
| | - Ralf Gold
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791, Bochum, Germany
| | - Ruth Schneider
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791, Bochum, Germany
| | - Carsten Lukas
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstrasse 56, 44791, Bochum, Germany.
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Gudrunstr. 56, 44791, Bochum, Germany.
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3
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Fleischer V, Gonzalez-Escamilla G, Pareto D, Rovira A, Sastre-Garriga J, Sowa P, Høgestøl EA, Harbo HF, Bellenberg B, Lukas C, Ruggieri S, Gasperini C, Uher T, Vaneckova M, Bittner S, Othman AE, Collorone S, Toosy AT, Meuth SG, Zipp F, Barkhof F, Ciccarelli O, Groppa S. Prognostic value of single-subject grey matter networks in early multiple sclerosis. Brain 2024; 147:135-146. [PMID: 37642541 PMCID: PMC10766234 DOI: 10.1093/brain/awad288] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 07/17/2023] [Accepted: 08/02/2023] [Indexed: 08/31/2023] Open
Abstract
The identification of prognostic markers in early multiple sclerosis (MS) is challenging and requires reliable measures that robustly predict future disease trajectories. Ideally, such measures should make inferences at the individual level to inform clinical decisions. This study investigated the prognostic value of longitudinal structural networks to predict 5-year Expanded Disability Status Scale (EDSS) progression in patients with relapsing-remitting MS (RRMS). We hypothesized that network measures, derived from MRI, outperform conventional MRI measurements at identifying patients at risk of developing disability progression. This longitudinal, multicentre study within the Magnetic Resonance Imaging in MS (MAGNIMS) network included 406 patients with RRMS (mean age = 35.7 ± 9.1 years) followed up for 5 years (mean follow-up = 5.0 ± 0.6 years). EDSS was determined to track disability accumulation. A group of 153 healthy subjects (mean age = 35.0 ± 10.1 years) with longitudinal MRI served as controls. All subjects underwent MRI at baseline and again 1 year after baseline. Grey matter atrophy over 1 year and white matter lesion load were determined. A single-subject brain network was reconstructed from T1-weighted scans based on grey matter atrophy measures derived from a statistical parameter mapping-based segmentation pipeline. Key topological measures, including network degree, global efficiency and transitivity, were calculated at single-subject level to quantify network properties related to EDSS progression. Areas under receiver operator characteristic (ROC) curves were constructed for grey matter atrophy and white matter lesion load, and the network measures and comparisons between ROC curves were conducted. The applied network analyses differentiated patients with RRMS who experience EDSS progression over 5 years through lower values for network degree [H(2) = 30.0, P < 0.001] and global efficiency [H(2) = 31.3, P < 0.001] from healthy controls but also from patients without progression. For transitivity, the comparisons showed no difference between the groups [H(2) = 1.5, P = 0.474]. Most notably, changes in network degree and global efficiency were detected independent of disease activity in the first year. The described network reorganization in patients experiencing EDSS progression was evident in the absence of grey matter atrophy. Network degree and global efficiency measurements demonstrated superiority of network measures in the ROC analyses over grey matter atrophy and white matter lesion load in predicting EDSS worsening (all P-values < 0.05). Our findings provide evidence that grey matter network reorganization over 1 year discloses relevant information about subsequent clinical worsening in RRMS. Early grey matter restructuring towards lower network efficiency predicts disability accumulation and outperforms conventional MRI predictors.
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Affiliation(s)
- Vinzenz Fleischer
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Gabriel Gonzalez-Escamilla
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Deborah Pareto
- Section of Neuroradiology, Department of Radiology (IDI), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
| | - Alex Rovira
- Section of Neuroradiology, Department of Radiology (IDI), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain
| | - Jaume Sastre-Garriga
- Department of Neurology/Neuroimmunology, Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, 08035 Barcelona, Spain
| | - Piotr Sowa
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, 0424 Oslo, Norway
| | - Einar A Høgestøl
- Institute of Clinical Medicine, University of Oslo, NO-0316 Oslo, Norway
- Department of Neurology, Oslo University Hospital, 0424 Oslo, Norway
| | - Hanne F Harbo
- Institute of Clinical Medicine, University of Oslo, NO-0316 Oslo, Norway
- Department of Neurology, Oslo University Hospital, 0424 Oslo, Norway
| | - Barbara Bellenberg
- Institute of Neuroradiology, St Josef Hospital, Ruhr-University Bochum, 44791 Bochum, Germany
| | - Carsten Lukas
- Institute of Neuroradiology, St Josef Hospital, Ruhr-University Bochum, 44791 Bochum, Germany
| | - Serena Ruggieri
- Department of Neurosciences, Sapienza University of Rome, 00185 Rome, Italy
| | - Claudio Gasperini
- Department of Neurosciences, San Camillo-Forlanini Hospital, 00152 Rome, Italy
| | - Tomas Uher
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, 121 08 Prague, Czech Republic
| | - Manuela Vaneckova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, 121 08 Prague, Czech Republic
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Ahmed E Othman
- Department of Neuroradiology, University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Sara Collorone
- Department of Neuroinflammation, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Science, University College of London, WC1E 6BT London, UK
| | - Ahmed T Toosy
- Department of Neuroinflammation, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Science, University College of London, WC1E 6BT London, UK
| | - Sven G Meuth
- Department of Neurology, Medical Faculty, Heinrich-Heine-University, 40225 Düsseldorf, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
| | - Frederik Barkhof
- Department of Neuroinflammation, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Science, University College of London, WC1E 6BT London, UK
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, 1100 DD Amsterdam, Netherlands
| | - Olga Ciccarelli
- Department of Neuroinflammation, Queen Square MS Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Science, University College of London, WC1E 6BT London, UK
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, 55131 Mainz, Germany
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4
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Bellanca CM, Augello E, Mariottini A, Bonaventura G, La Cognata V, Di Benedetto G, Cantone AF, Attaguile G, Di Mauro R, Cantarella G, Massacesi L, Bernardini R. Disease Modifying Strategies in Multiple Sclerosis: New Rays of Hope to Combat Disability? Curr Neuropharmacol 2024; 22:1286-1326. [PMID: 38275058 PMCID: PMC11092922 DOI: 10.2174/1570159x22666240124114126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 08/21/2023] [Accepted: 09/22/2023] [Indexed: 01/27/2024] Open
Abstract
Multiple sclerosis (MS) is the most prevalent chronic autoimmune inflammatory- demyelinating disorder of the central nervous system (CNS). It usually begins in young adulthood, mainly between the second and fourth decades of life. Usually, the clinical course is characterized by the involvement of multiple CNS functional systems and by different, often overlapping phenotypes. In the last decades, remarkable results have been achieved in the treatment of MS, particularly in the relapsing- remitting (RRMS) form, thus improving the long-term outcome for many patients. As deeper knowledge of MS pathogenesis and respective molecular targets keeps growing, nowadays, several lines of disease-modifying treatments (DMT) are available, an impressive change compared to the relative poverty of options available in the past. Current MS management by DMTs is aimed at reducing relapse frequency, ameliorating symptoms, and preventing clinical disability and progression. Notwithstanding the relevant increase in pharmacological options for the management of RRMS, research is now increasingly pointing to identify new molecules with high efficacy, particularly in progressive forms. Hence, future efforts should be concentrated on achieving a more extensive, if not exhaustive, understanding of the pathogenetic mechanisms underlying this phase of the disease in order to characterize novel molecules for therapeutic intervention. The purpose of this review is to provide a compact overview of the numerous currently approved treatments and future innovative approaches, including neuroprotective treatments as anti-LINGO-1 monoclonal antibody and cell therapies, for effective and safe management of MS, potentially leading to a cure for this disease.
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Affiliation(s)
- Carlo Maria Bellanca
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), Section of Pharmacology, University of Catania, 95123 Catania, Italy
- Clinical Toxicology Unit, University Hospital, University of Catania, 95123 Catania, Italy
| | - Egle Augello
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), Section of Pharmacology, University of Catania, 95123 Catania, Italy
- Clinical Toxicology Unit, University Hospital, University of Catania, 95123 Catania, Italy
| | - Alice Mariottini
- Department of Neurosciences Drugs and Child Health, University of Florence, Florence, Italy
| | - Gabriele Bonaventura
- Institute for Biomedical Research and Innovation (IRIB), Italian National Research Council, 95126 Catania, Italy
| | - Valentina La Cognata
- Institute for Biomedical Research and Innovation (IRIB), Italian National Research Council, 95126 Catania, Italy
| | - Giulia Di Benedetto
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), Section of Pharmacology, University of Catania, 95123 Catania, Italy
- Clinical Toxicology Unit, University Hospital, University of Catania, 95123 Catania, Italy
| | - Anna Flavia Cantone
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), Section of Pharmacology, University of Catania, 95123 Catania, Italy
| | - Giuseppe Attaguile
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), Section of Pharmacology, University of Catania, 95123 Catania, Italy
| | - Rosaria Di Mauro
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), Section of Pharmacology, University of Catania, 95123 Catania, Italy
| | - Giuseppina Cantarella
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), Section of Pharmacology, University of Catania, 95123 Catania, Italy
| | - Luca Massacesi
- Department of Neurosciences Drugs and Child Health, University of Florence, Florence, Italy
| | - Renato Bernardini
- Department of Biomedical and Biotechnological Sciences (BIOMETEC), Section of Pharmacology, University of Catania, 95123 Catania, Italy
- Clinical Toxicology Unit, University Hospital, University of Catania, 95123 Catania, Italy
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5
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Barnett M, Wang D, Beadnall H, Bischof A, Brunacci D, Butzkueven H, Brown JWL, Cabezas M, Das T, Dugal T, Guilfoyle D, Klistorner A, Krieger S, Kyle K, Ly L, Masters L, Shieh A, Tang Z, van der Walt A, Ward K, Wiendl H, Zhan G, Zivadinov R, Barnett Y, Wang C. A real-world clinical validation for AI-based MRI monitoring in multiple sclerosis. NPJ Digit Med 2023; 6:196. [PMID: 37857813 PMCID: PMC10587188 DOI: 10.1038/s41746-023-00940-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 09/29/2023] [Indexed: 10/21/2023] Open
Abstract
Modern management of MS targets No Evidence of Disease Activity (NEDA): no clinical relapses, no magnetic resonance imaging (MRI) disease activity and no disability worsening. While MRI is the principal tool available to neurologists for monitoring clinically silent MS disease activity and, where appropriate, escalating treatment, standard radiology reports are qualitative and may be insensitive to the development of new or enlarging lesions. Existing quantitative neuroimaging tools lack adequate clinical validation. In 397 multi-center MRI scan pairs acquired in routine practice, we demonstrate superior case-level sensitivity of a clinically integrated AI-based tool over standard radiology reports (93.3% vs 58.3%), relative to a consensus ground truth, with minimal loss of specificity. We also demonstrate equivalence of the AI-tool with a core clinical trial imaging lab for lesion activity and quantitative brain volumetric measures, including percentage brain volume loss (PBVC), an accepted biomarker of neurodegeneration in MS (mean PBVC -0.32% vs -0.36%, respectively), whereas even severe atrophy (>0.8% loss) was not appreciated in radiology reports. Finally, the AI-tool additionally embeds a clinically meaningful, experiential comparator that returns a relevant MS patient centile for lesion burden, revealing, in our cohort, inconsistencies in qualitative descriptors used in radiology reports. AI-based image quantitation enhances the accuracy of, and value-adds to, qualitative radiology reporting. Scaled deployment of these tools will open a path to precision management for patients with MS.
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Affiliation(s)
- Michael Barnett
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Department of Neurology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Dongang Wang
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Heidi Beadnall
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Department of Neurology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Antje Bischof
- Department of Neurology, University Hospital of Muenster, Muenster, Germany
| | - David Brunacci
- Department of Radiology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Helmut Butzkueven
- Department of Neurology, The Alfred Hospital, Melbourne, VIC, Australia
- Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - J William L Brown
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Mariano Cabezas
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Tilak Das
- Department of Radiology, University of Cambridge, Cambridge, UK
| | - Tej Dugal
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia
- Synergy Radiology, Sydney, NSW, Australia
| | - Daniel Guilfoyle
- Department of Neurology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Alexander Klistorner
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
- Save Sight Institute, University of Sydney, Sydney, NSW, Australia
| | - Stephen Krieger
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kain Kyle
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Linda Ly
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia
| | | | - Andy Shieh
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia
| | - Zihao Tang
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Anneke van der Walt
- Department of Radiology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
- Department of Neurology, The Alfred Hospital, Melbourne, VIC, Australia
| | - Kayla Ward
- Department of Neurology, Royal Prince Alfred Hospital, Camperdown, NSW, Australia
| | - Heinz Wiendl
- Department of Neurology, University Hospital of Muenster, Muenster, Germany
| | - Geng Zhan
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | | | - Yael Barnett
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia
- Department of Radiology, St Vincent's Hospital, Sydney, NSW, Australia
| | - Chenyu Wang
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia.
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.
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6
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van Nederpelt DR, Amiri H, Brouwer I, Noteboom S, Mokkink LB, Barkhof F, Vrenken H, Kuijer JPA. Reliability of brain atrophy measurements in multiple sclerosis using MRI: an assessment of six freely available software packages for cross-sectional analyses. Neuroradiology 2023; 65:1459-1472. [PMID: 37526657 PMCID: PMC10497452 DOI: 10.1007/s00234-023-03189-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 06/20/2023] [Indexed: 08/02/2023]
Abstract
PURPOSE Volume measurement using MRI is important to assess brain atrophy in multiple sclerosis (MS). However, differences between scanners, acquisition protocols, and analysis software introduce unwanted variability of volumes. To quantify theses effects, we compared within-scanner repeatability and between-scanner reproducibility of three different MR scanners for six brain segmentation methods. METHODS Twenty-one people with MS underwent scanning and rescanning on three 3 T MR scanners (GE MR750, Philips Ingenuity, Toshiba Vantage Titan) to obtain 3D T1-weighted images. FreeSurfer, FSL, SAMSEG, FastSurfer, CAT-12, and SynthSeg were used to quantify brain, white matter and (deep) gray matter volumes both from lesion-filled and non-lesion-filled 3D T1-weighted images. We used intra-class correlation coefficient (ICC) to quantify agreement; repeated-measures ANOVA to analyze systematic differences; and variance component analysis to quantify the standard error of measurement (SEM) and smallest detectable change (SDC). RESULTS For all six software, both between-scanner agreement (ICCs ranging 0.4-1) and within-scanner agreement (ICC range: 0.6-1) were typically good, and good to excellent (ICC > 0.7) for large structures. No clear differences were found between filled and non-filled images. However, gray and white matter volumes did differ systematically between scanners for all software (p < 0.05). Variance component analysis yielded within-scanner SDC ranging from 1.02% (SAMSEG, whole-brain) to 14.55% (FreeSurfer, CSF); and between-scanner SDC ranging from 4.83% (SynthSeg, thalamus) to 29.25% (CAT12, thalamus). CONCLUSION Volume measurements of brain, GM and WM showed high repeatability, and high reproducibility despite substantial differences between scanners. Smallest detectable change was high, especially between different scanners, which hampers the clinical implementation of atrophy measurements.
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Affiliation(s)
- David R van Nederpelt
- MS Center Amsterdam, Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands.
| | - Houshang Amiri
- MS Center Amsterdam, Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Neuroscience Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran
| | - Iman Brouwer
- MS Center Amsterdam, Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Samantha Noteboom
- MS Center Amsterdam, Anatomy and Neurosciences, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Lidwine B Mokkink
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, 1007MB, Amsterdam, The Netherlands
| | - Frederik Barkhof
- MS Center Amsterdam, Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Institutes of Neurology and Healthcare Engineering, UCL London, London, UK
| | - Hugo Vrenken
- MS Center Amsterdam, Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Joost P A Kuijer
- MS Center Amsterdam, Radiology and Nuclear Medicine, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
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7
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Pogoda-Wesołowska A, Dziedzic A, Maciak K, Stȩpień A, Dziaduch M, Saluk J. Neurodegeneration and its potential markers in the diagnosing of secondary progressive multiple sclerosis. A review. Front Mol Neurosci 2023; 16:1210091. [PMID: 37781097 PMCID: PMC10535108 DOI: 10.3389/fnmol.2023.1210091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 08/25/2023] [Indexed: 10/03/2023] Open
Abstract
Approximately 70% of relapsing-remitting multiple sclerosis (RRMS) patients will develop secondary progressive multiple sclerosis (SPMS) within 10-15 years. This progression is characterized by a gradual decline in neurological functionality and increasing limitations of daily activities. Growing evidence suggests that both inflammation and neurodegeneration are associated with various pathological processes throughout the development of MS; therefore, to delay disease progression, it is critical to initiate disease-modifying therapy as soon as it is diagnosed. Currently, a diagnosis of SPMS requires a retrospective assessment of physical disability exacerbation, usually over the previous 6-12 months, which results in a delay of up to 3 years. Hence, there is a need to identify reliable and objective biomarkers for predicting and defining SPMS conversion. This review presents current knowledge of such biomarkers in the context of neurodegeneration associated with MS, and SPMS conversion.
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Affiliation(s)
| | - Angela Dziedzic
- Department of General Biochemistry, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland
| | - Karina Maciak
- Department of General Biochemistry, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland
| | - Adam Stȩpień
- Clinic of Neurology, Military Institute of Medicine–National Research Institute, Warsaw, Poland
| | - Marta Dziaduch
- Medical Radiology Department of Military Institute of Medicine – National Research Institute, Warsaw, Poland
| | - Joanna Saluk
- Department of General Biochemistry, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland
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8
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Lorefice L, Fenu G, Fronza M, Murgia F, Frau J, Coghe G, Barracciu MA, Atzori L, Angioni S, Cocco E. Menopausal transition in multiple sclerosis: relationship with disease activity and brain volume measurements. Front Neurol 2023; 14:1251667. [PMID: 37602270 PMCID: PMC10434500 DOI: 10.3389/fneur.2023.1251667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 07/24/2023] [Indexed: 08/22/2023] Open
Abstract
Background Recent evidence has shown a significant association between menopause and multiple sclerosis (MS) progression. This study investigated the possible role of menopause in influencing MS from clinical and neuroradiological perspectives. Notably, the possible association between menopause and brain atrophy has been evaluated. Materials and methods This study included women with MS whose ages ranged from 45 to 55 years. Demographic and clinical characteristics were collected, and the reproductive phase was defined as non-menopausal or menopausal based on the final menstrual period. Thus, MS activity over the past year was reported as the annualised relapse rate (ARR), and MRI activity (defined as new T2 lesions and/or the presence of gadolinium-enhancing lesions at the last MRI assessment in comparison with the MRI performed within the previous 12 months) were compared between non-menopausal women (non-MW) and menopausal women (MW). Volume measurements of the whole brain (WB), white matter (WM), grey matter (GM), and cortical GM were estimated using the SIENAX software, and the possible relationship with menopausal status was assessed by regression analysis. Results The study included 147 women with MS. Eighty-four (57.1%) were MW, with a mean age of 48.5 ± 4.3 years at menopause onset and a mean duration of menopause of 4.1 ± 1.1 years. When compared for ARR, MW reported a lower rate than the non-MW (ARR of 0.29 ± 0.4 vs. 0.52 ± 0.5; p < 0.01). MRI activity was observed in 13.1% of MW and 20.6% of non-MW (p = 0.03). Lower cortical GM volumes (578.1 ± 40.4 mL in MW vs. 596.9 ± 35.8 mL in non-MW; p < 0.01) have also been reported. Finally, multivariate analysis showed a significant association of lower ARR (p = 0.001) and cortical GM volume (p = 0.002) with menopausal status after correction for chronological age and other variables. Discussion Menopause may be an adverse prognostic factor of MS. Our preliminary results suggest that menopause may facilitate cortical GM atrophy, probably due to a decline in the neuroprotective effects of estrogen, with negative effects on MS evolution.
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Affiliation(s)
- Lorena Lorefice
- Department of Medical Sciences and Public Health, Multiple Sclerosis Center, Binaghi Hospital, ASL Cagliari, University of Cagliari, Cagliari, Italy
| | - Giuseppe Fenu
- Department of Neurosciences, ARNAS Brotzu, Cagliari, Italy
| | - Marzia Fronza
- Department of Medical Sciences and Public Health, Multiple Sclerosis Center, Binaghi Hospital, ASL Cagliari, University of Cagliari, Cagliari, Italy
| | - Federica Murgia
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Jessica Frau
- Department of Medical Sciences and Public Health, Multiple Sclerosis Center, Binaghi Hospital, ASL Cagliari, University of Cagliari, Cagliari, Italy
| | - Giancarlo Coghe
- Department of Medical Sciences and Public Health, Multiple Sclerosis Center, Binaghi Hospital, ASL Cagliari, University of Cagliari, Cagliari, Italy
| | | | - Luigi Atzori
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Stefano Angioni
- Division of Gynecology and Obstetrics, Department of Surgical Sciences, University of Cagliari, Cagliari, Italy
| | - Eleonora Cocco
- Department of Medical Sciences and Public Health, Multiple Sclerosis Center, Binaghi Hospital, ASL Cagliari, University of Cagliari, Cagliari, Italy
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Zhan G, Wang D, Cabezas M, Bai L, Kyle K, Ouyang W, Barnett M, Wang C. Learning from pseudo-labels: deep networks improve consistency in longitudinal brain volume estimation. Front Neurosci 2023; 17:1196087. [PMID: 37483345 PMCID: PMC10358358 DOI: 10.3389/fnins.2023.1196087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 06/16/2023] [Indexed: 07/25/2023] Open
Abstract
Introduction Brain atrophy is a critical biomarker of disease progression and treatment response in neurodegenerative diseases such as multiple sclerosis (MS). Confounding factors such as inconsistent imaging acquisitions hamper the accurate measurement of brain atrophy in the clinic. This study aims to develop and validate a robust deep learning model to overcome these challenges; and to evaluate its impact on the measurement of disease progression. Methods Voxel-wise pseudo-atrophy labels were generated using SIENA, a widely adopted tool for the measurement of brain atrophy in MS. Deformation maps were produced for 195 pairs of longitudinal 3D T1 scans from patients with MS. A 3D U-Net, namely DeepBVC, was specifically developed overcome common variances in resolution, signal-to-noise ratio and contrast ratio between baseline and follow up scans. The performance of DeepBVC was compared against SIENA using McLaren test-retest dataset and 233 in-house MS subjects with MRI from multiple time points. Clinical evaluation included disability assessment with the Expanded Disability Status Scale (EDSS) and traditional imaging metrics such as lesion burden. Results For 3 subjects in test-retest experiments, the median percent brain volume change (PBVC) for DeepBVC and SIENA was 0.105 vs. 0.198% (subject 1), 0.061 vs. 0.084% (subject 2), 0.104 vs. 0.408% (subject 3). For testing consistency across multiple time points in individual MS subjects, the mean (± standard deviation) PBVC difference of DeepBVC and SIENA were 0.028% (± 0.145%) and 0.031% (±0.154%), respectively. The linear correlation with baseline T2 lesion volume were r = -0.288 (p < 0.05) and r = -0.249 (p < 0.05) for DeepBVC and SIENA, respectively. There was no significant correlation of disability progression with PBVC as estimated by either method (p = 0.86, p = 0.84). Discussion DeepBVC is a deep learning powered brain volume change estimation method for assessing brain atrophy used T1-weighted images. Compared to SIENA, DeepBVC demonstrates superior performance in reproducibility and in the context of common clinical scan variances such as imaging contrast, voxel resolution, random bias field, and signal-to-noise ratio. Enhanced measurement robustness, automation, and processing speed of DeepBVC indicate its potential for utilisation in both research and clinical environments for monitoring disease progression and, potentially, evaluating treatment effectiveness.
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Affiliation(s)
- Geng Zhan
- Brain and Mind Center, The University of Sydney, Sydney, NSW, Australia
- Sydney Neuroimaging Analysis Center, Sydney, NSW, Australia
| | - Dongang Wang
- Brain and Mind Center, The University of Sydney, Sydney, NSW, Australia
- Sydney Neuroimaging Analysis Center, Sydney, NSW, Australia
| | - Mariano Cabezas
- Brain and Mind Center, The University of Sydney, Sydney, NSW, Australia
| | - Lei Bai
- Shanghai AI Laboratory, Shanghai, China
| | - Kain Kyle
- Brain and Mind Center, The University of Sydney, Sydney, NSW, Australia
- Sydney Neuroimaging Analysis Center, Sydney, NSW, Australia
| | | | - Michael Barnett
- Brain and Mind Center, The University of Sydney, Sydney, NSW, Australia
- Sydney Neuroimaging Analysis Center, Sydney, NSW, Australia
| | - Chenyu Wang
- Brain and Mind Center, The University of Sydney, Sydney, NSW, Australia
- Sydney Neuroimaging Analysis Center, Sydney, NSW, Australia
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10
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Matusche B, Litvin L, Schneider R, Bellenberg B, Mühlau M, Pongratz V, Berthele A, Groppa S, Muthuraman M, Zipp F, Paul F, Wiendl H, Meuth SG, Sämann P, Weber F, Linker RA, Kümpfel T, Gold R, Lukas C. Early spinal cord pseudoatrophy in interferon-beta-treated multiple sclerosis. Eur J Neurol 2023; 30:453-462. [PMID: 36318271 DOI: 10.1111/ene.15620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 10/26/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Brain pseudoatrophy has been shown to play a pivotal role in the interpretation of brain atrophy measures during the first year of disease-modifying therapy in multiple sclerosis. Whether pseudoatrophy also affects the spinal cord remains unclear. The aim of this study was to analyze the extent of pseudoatrophy in the upper spinal cord during the first 2 years after therapy initiation and compare this to the brain. METHODS A total of 129 patients from a prospective longitudinal multicentric national cohort study for whom magnetic resonance imaging scans at baseline, 12 months, and 24 months were available were selected for brain and spinal cord volume quantification. Annual percentage brain volume and cord area change were calculated using SIENA (Structural Image Evaluation of Normalized Atrophy) and NeuroQLab, respectively. Linear mixed model analyses were performed to compare patients on interferon-beta therapy (n = 84) and untreated patients (n = 45). RESULTS Patients treated with interferon-beta demonstrated accelerated annual percentage brain volume and cervical cord area change in the first year after treatment initiation, whereas atrophy rates stabilized to a similar and not significantly different level compared to untreated patients during the second year. CONCLUSIONS These results suggest that pseudoatrophy occurs not only in the brain, but also in the spinal cord during the first year of interferon-beta treatment.
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Affiliation(s)
- Britta Matusche
- Institute for Neuroradiology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Ludmila Litvin
- Institute for Neuroradiology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Ruth Schneider
- Department of Neurology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Barbara Bellenberg
- Institute for Neuroradiology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Mark Mühlau
- Department of Neurology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Viola Pongratz
- Department of Neurology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Achim Berthele
- Department of Neurology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine-Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Muthuraman Muthuraman
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine-Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience and Immunotherapy, Rhine-Main Neuroscience Network, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Heinz Wiendl
- Department of Neurology, Institute of Translational Neurology, University of Münster, Münster, Germany
| | - Sven G Meuth
- Department of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | | | - Frank Weber
- Neurological Clinic, Sana Clinic Cham, Cham, Germany
| | - Ralf A Linker
- Department of Neurology, University of Regensburg, Regensburg, Germany
| | - Tania Kümpfel
- Institute of Clinical Neuroimmunology, Biomedical Center and University Hospital, Ludwig Maximilian University of Munich, Munich, Germany
| | - Ralf Gold
- Department of Neurology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Carsten Lukas
- Institute for Neuroradiology, St Josef Hospital, Ruhr University Bochum, Bochum, Germany
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11
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Eskut N, Koc AM, Koskderelioglu A, Dilek I, Tekindal MA. Correlation of brain segmental volume changes with clinical parameters: a longitudinal study in multiple sclerosis patients. ARQUIVOS DE NEURO-PSIQUIATRIA 2023; 81:164-172. [PMID: 36948201 PMCID: PMC10033199 DOI: 10.1055/s-0043-1761492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/24/2023]
Abstract
OBJECTIVE To measure the cranial volume differences from 15 different parts in the follow-up of relapsing-remitting multiple sclerosis (RRMS) patients and correlate them with clinical parameters. METHODS Forty-seven patients with RRMS were included in the study. Patients were grouped into two categories; low Expanded Disability Status Scale (EDSS) (< 3; group 1), and moderate-high EDSS (≥ 3; group 2). Patients were evaluated with Beck Depression Inventory (BDI), Montreal Cognitive Assessment (MOCA), Symbol Digit Modalities Test (SDMT), Fatigue Severity Scale (FSS), and calculated Annualized Relapse Rate (ARR) scores. Magnetic resonance imaging (MRI) was performed with a 1.5T MRI device (Magnetom AERA, Siemens, Erlangen, Germany) twice in a 1-year period. Volumetric analysis was performed by a free, automated, online MRI brain volumetry software. The differences in volumetric values between the two MRI scans were calculated and correlated with the demographic and clinical parameters of the patients. RESULTS The number of attacks, disease duration, BDI, and FSS scores were higher in group 2; SDMT was higher in group 1. As expected, volumetric analyses have shown volume loss in total cerebral white matter in follow-up patients (p < 0.001). In addition, putaminal volume loss was related to a higher number of attacks. Besides, a negative relation between FSS with total amygdala volumes, a link between atrophy of globus pallidus and ARR, and BDI scores was found with the aid of network analysis. CONCLUSIONS Apart from a visual demonstration of volume loss, cranial MRI with volumetric analysis has a great potential for revealing covert links between segmental volume changes and clinical parameters.
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Affiliation(s)
- Neslihan Eskut
- University of Health Sciences, Izmir Bozyaka Education and Research Hospital, Department of Neurology, Izmir, Turkey
| | - Ali Murat Koc
- Izmir Katip Celebi University, Ataturk Education and Research Hospital, Department of Radiology, Izmir, Turkey
| | - Asli Koskderelioglu
- University of Health Sciences, Izmir Bozyaka Education and Research Hospital, Department of Neurology, Izmir, Turkey
| | - Ismail Dilek
- University of Health Sciences, Izmir Bozyaka Education and Research Hospital, Department of Radiology, Izmir, Turkey
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12
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Steffen F, Uphaus T, Ripfel N, Fleischer V, Schraad M, Gonzalez-Escamilla G, Engel S, Groppa S, Zipp F, Bittner S. Serum Neurofilament Identifies Patients With Multiple Sclerosis With Severe Focal Axonal Damage in a 6-Year Longitudinal Cohort. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2022; 10:10/1/e200055. [PMID: 36411080 PMCID: PMC9679887 DOI: 10.1212/nxi.0000000000200055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 09/16/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND OBJECTIVES Immunomodulatory therapies reduce the relapse rate but only marginally control disability progression in patients with MS. Although serum neurofilament light chain (sNfL) levels correlate best with acute signs of inflammation (e.g., relapses and gadolinium-enhancing [Gd+] lesions), their role in predicting progressive biology and irreversible axonal damage is less clear. We aimed to determine the ability of sNfL to dissect distinct measures of disease severity and predict future (no) evidence of disease activity (EDA/no evidence of disease activity [NEDA]). METHODS One hundred fifty-three of 221 patients with relapsing-remitting MS initially enrolled in the Neurofilament and longterm outcome in MS cohort at the MS outpatient clinic of the University Medical Center Mainz (Germany) met the inclusion criteria for this prospective observational cohort study with a median follow-up of 6 years (interquartile range 4-7 years). Progressive disease forms were excluded. Inclusion criteria consisted of Expanded Disability Status Scale (EDSS) assessment within 3 months and MRI within 12 months around blood sampling at baseline (y0) and follow-up (y6). EDSS progression at y6 had to be confirmed 12 weeks later. sNfL was measured by single-molecule array, and the following additional variables were recorded: therapy, medical history, and detailed MRI parameters (T2 hyperintense lesions, Gd+ lesions, and new persistent T1 hypointense lesions). RESULTS Patients experiencing EDSS progression or new persistent T1 lesions at y6 showed increased sNfL levels at y0 compared with stable patients or patients with inflammatory activity only. As a potential readily accessible marker of neurodegeneration, we incorporated the absence of persistent T1 lesions to the NEDA-3 concept (NEDA-3T1: n = 54, 35.3%; EDAT1: n = 99, 64.7%) and then evaluated a risk score with factors that distinguish patients with and without NEDA-3T1 status. Adding sNfL to this risk score significantly improved NEDA-3T1 prediction (0.697 95% CI 0.616-0.770 vs 0.819 95% CI 0.747-0.878, p < 0.001). Patients with sNfL values ≤8.6 pg/mL showed a 76% risk reduction for EDAT1 at y6 (hazard ratio 0.244, 95% CI 0.142-0.419, p < 0.001). DISCUSSION sNfL levels associate with severe focal axonal damage as reflected by development of persistent T1 lesions. Baseline sNfL values predicted NEDA-3T1 status at 6-year follow-up.
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Affiliation(s)
- Falk Steffen
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Timo Uphaus
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Nina Ripfel
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Vinzenz Fleischer
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Muriel Schraad
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Gabriel Gonzalez-Escamilla
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sinah Engel
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sergiu Groppa
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Frauke Zipp
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Stefan Bittner
- From the Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
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Sinnecker T, Schädelin S, Benkert P, Ruberte E, Amann M, Lieb JM, Naegelin Y, Müller J, Kuhle J, Derfuss T, Kappos L, Wuerfel J, Granziera C, Yaldizli Ö. Brain atrophy measurement over a MRI scanner change in multiple sclerosis. Neuroimage Clin 2022; 36:103148. [PMID: 36007437 PMCID: PMC9424626 DOI: 10.1016/j.nicl.2022.103148] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 08/03/2022] [Accepted: 08/04/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND A change in MRI hardware impacts brain volume measurements. The aim of this study was to use MRI data from multiple sclerosis (MS) patients and healthy control subjects (HCs) to statistically model how to adjust brain atrophy measures in MS patients after a major scanner upgrade. METHODS We scanned 20 MS patients and 26 HCs before and three months after a major scanner upgrade (1.5 T Siemens Healthineers Magnetom Avanto to 3 T Siemens Healthineers Skyra Fit). The patient group also underwent standardized serial MRIs before and after the scanner change. Percentage whole brain volume changes (PBVC) measured by Structural Image Evaluation using Normalization of Atrophy (SIENA) in the HCs was used to estimate a corrective term based on a linear model. The factor was internally validated in HCs, and then applied to the MS group. RESULTS Mean PBVC during the scanner change was higher in MS than HCs (-4.1 ± 0.8 % versus -3.4 ± 0.6 %). A fixed corrective term of 3.4 (95% confidence interval: 3.13-3.67)% was estimated based on the observed average changes in HCs. Age and gender did not have a significant influence on this corrective term. After adjustment, a linear mixed effects model showed that the brain atrophy measures in MS during the scanner upgrade were not anymore associated with the scanner type (old vs new scanner; p = 0.29). CONCLUSION A scanner change affects brain atrophy measures in longitudinal cohorts. The inclusion of a corrective term based on changes observed in HCs helps to adjust for the known and unknown factors associated with a scanner upgrade on a group level.
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Affiliation(s)
- Tim Sinnecker
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Translational Imaging in Neurology [ThINK] Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Sabine Schädelin
- Department of Clinical Research, Clinical Trial Unit, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Pascal Benkert
- Department of Clinical Research, Clinical Trial Unit, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Esther Ruberte
- Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Michael Amann
- Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Johanna M. Lieb
- Department of Neuroradiology, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Yvonne Naegelin
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Jannis Müller
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Translational Imaging in Neurology [ThINK] Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Tobias Derfuss
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Translational Imaging in Neurology [ThINK] Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland
| | - Özgür Yaldizli
- Neurologic Clinic and Policlinic, Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Translational Imaging in Neurology [ThINK] Basel, Departments of Head, Spine and Neuromedicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland,Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), University Hospital and University of Basel, Switzerland,Corresponding author at: Neurology, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland.
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14
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Rojas JI, Patrucco L, Pappolla A, Sánchez F, Cristiano E. Brain volume loss and physical and cognitive impairment in naive multiple sclerosis patients treated with fingolimod: prospective cohort study in Buenos Aires, Argentina. ARQUIVOS DE NEURO-PSIQUIATRIA 2022; 80:699-705. [PMID: 36254442 PMCID: PMC9685825 DOI: 10.1055/s-0042-1755277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/28/2023]
Abstract
BACKGROUND The percentage of brain volume loss (PBVL) has been classically considered as a biomarker in multiple sclerosis (MS). OBJECTIVE The objective of the present study was to analyze if the PBVL during the 1st year after the onset of the disease predicts physical and cognitive impairment (CI). METHODS Prospective study that included naïve patients without cognitive impairment who initiated MS treatment with fingolimod. Patients were followed for 3 years and relapses, expanded disability status scale (EDSS) progression (defined as worsening of 1 point on the EDSS), the annual PBVL (evaluated by structural image evaluation using normalization of atrophy [SIENA]), and the presence of CI were evaluated. Cognitive impairment was defined in patients who scored at least 2 standard deviations (SDs) below controls on at least 2 domains. The PBVL after 1 year of treatment with fingolimod was used as an independent variable, while CI and EDSS progression at the 3rd year of follow-up as dependent variables. RESULTS A total of 71 patients were included, with a mean age of 35.4 ± 3 years old. At the 3rd year, 14% of the patients were classified as CI and 6.2% had EDSS progression. In the CI group, the PBVL during the 1st year was - 0.52 (±0.07) versus -0.42 (±0.04) in the no CI group (p < 0.01; odds ratio [OR] = 2.24; 95% confidence interval [CI]: 1.72-2.44). In the group that showed EDSS progression, the PBVL during the 1st year was - 0.59 (±0.05) versus - 0.42 (±0.03) (p < 0.01; OR = 2.33; 95%CI: 1.60-2.55). CONCLUSIONS A higher PBVL during the 1st year in naïve MS patients was independently associated with a significant risk of CI and EDSS progression.
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Affiliation(s)
- Juan Ignacio Rojas
- Multiple Sclerosis Center of Buenos Aires, Buenos Aires, Argentina
- Hospital Universitario CEMIC, Neurology Service, Buenos Aires, Argentina
| | - Liliana Patrucco
- Hospital Italiano de Buenos Aires, Neurology Service, Buenos Aires, Argentina
| | - Agustín Pappolla
- Hospital Italiano de Buenos Aires, Neurology Service, Buenos Aires, Argentina
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15
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Filippi M, Amato MP, Centonze D, Gallo P, Gasperini C, Inglese M, Patti F, Pozzilli C, Preziosa P, Trojano M. Early use of high-efficacy disease‑modifying therapies makes the difference in people with multiple sclerosis: an expert opinion. J Neurol 2022; 269:5382-5394. [PMID: 35608658 PMCID: PMC9489547 DOI: 10.1007/s00415-022-11193-w] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 05/12/2022] [Accepted: 05/13/2022] [Indexed: 11/05/2022]
Abstract
Multiple sclerosis (MS) is a chronic and progressive neurological disease that is characterized by neuroinflammation, demyelination and neurodegeneration occurring from the earliest phases of the disease and that may be underestimated. MS patients accumulate disability through relapse-associated worsening or progression independent of relapse activity. Early intervention with high-efficacy disease-modifying therapies (HE-DMTs) may represent the best window of opportunity to delay irreversible central nervous system damage and MS-related disability progression by hindering underlying heterogeneous pathophysiological processes contributing to disability progression. In line with this, growing evidence suggests that early use of HE-DMTs is associated with a significant greater reduction not only of inflammatory activity (clinical relapses and new lesion formation at magnetic resonance imaging) but also of disease progression, in terms of accumulation of irreversible clinical disability and neurodegeneration compared to delayed HE-DMT use or escalation strategy. These beneficial effects seem to be associated with acceptable long-term safety risks, thus configuring this treatment approach as that with the most positive benefit/risk profile. Accordingly, it should be mandatory to treat people with MS early with HE-DMTs in case of prognostic factors suggestive of aggressive disease, and it may be advisable to offer an HE-DMT to MS patients early after diagnosis, taking into account drug safety profile, disease severity, clinical and/or radiological activity, and patient-related factors, including possible comorbidities, family planning, and patients’ preference in agreement with the EAN/ECTRIMS and AAN guidelines. Barriers for an early use of HE-DMTs include concerns for long-term safety, challenges in the management of treatment initiation and monitoring, negative MS patients’ preferences, restricted access to HE-DMTs according to guidelines and regulatory rules, and sustainability. However, these barriers do not apply to each HE-DMT and none of these appear insuperable.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy. .,Neurology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy. .,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy. .,Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy. .,Vita-Salute San Raffaele University, Milan, Italy.
| | - Maria Pia Amato
- Department NEUROFARBA, University of Florence, Florence, Italy.,IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Diego Centonze
- Department of Systems Medicine, Tor Vergata University, Rome, Italy.,Unit of Neurology, IRCCS Neuromed, Pozzilli, IS, Italy
| | - Paolo Gallo
- Department of Neuroscience, University of Padova, Padua, Italy
| | - Claudio Gasperini
- Department of Neurosciences, S Camillo Forlanini Hospital Rome, Rome, Italy
| | - Matilde Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.,IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Francesco Patti
- Department GF Ingrassia, Medical, Surgical Science and Advanced Technologies, University of Catania, Catania, Italy.,Center for Multiple Sclerosis, Policlinico "G Rodolico", University of Catania, Catania, Italy
| | | | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Maria Trojano
- Department of Basic Medical Sciences, Neuroscience, and Sense Organs, University of Bari "Aldo Moro", Bari, Italy
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Efficacy and Safety Outcomes with Diroximel Fumarate After Switching from Prior Therapies or Continuing on DRF: Results from the Phase 3 EVOLVE-MS-1 Study. Adv Ther 2022; 39:1810-1831. [PMID: 35211872 PMCID: PMC8870078 DOI: 10.1007/s12325-022-02068-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 12/07/2021] [Indexed: 02/06/2023]
Abstract
Introduction Diroximel fumarate (DRF) is an oral fumarate for relapsing multiple sclerosis (MS) with the same active metabolite as dimethyl fumarate (DMF). DRF has a safety/efficacy profile similar to DMF but with improved gastrointestinal (GI) tolerability and low (< 1%) treatment discontinuation due to GI adverse events (AEs). Efficacy and safety outcomes in patients who switched to DRF from other disease-modifying therapies (DMTs) have not been evaluated. Methods EVOLVE-MS-1 is an ongoing, 2-year, open-label, phase 3 study of DRF in adults with relapsing–remitting MS. Patients either entered as newly enrolled to DRF trials, or from the 5-week, randomized, head-to-head, phase 3 EVOLVE-MS-2 study of DRF and DMF. This analysis evaluated safety and GI tolerability in patients continuing on DRF (DRF-rollover) or switching from DMF (DMF-rollover) following EVOLVE-MS-2. Safety and efficacy were evaluated in a subset of newly enrolled patients who had received prior glatiramer acetate (GA; GA/DRF) or interferons (IFN; IFN/DRF) as their most recent DMT, prior to switching to DRF in EVOLVE-MS-1. Results As of September 1, 2020, 1057 patients were enrolled in EVOLVE-MS-1, including 166, 182, 239, and 225 patients in the GA/DRF, IFN/DRF, DRF-rollover, and DMF-rollover groups, respectively. Treatment discontinuation due to GI AEs was < 1% in all groups. GA/DRF and IFN/DRF patients experienced improvements from baseline in clinical and radiological efficacy outcomes, including significantly reduced annualized relapse rates. Rollover patients had low rates of new or recurrent GI AEs (DRF-rollover, 26.8%/4.2%; DMF-rollover, 27.1%/4.9%). Conclusion After 2 years of DRF exposure, patients with prior GA, IFN, or fumarate treatment had safety outcomes consistent with previous fumarate studies. Efficacy in patients with prior GA or IFN treatment was consistent with previous fumarate studies. The data suggest that transition to DRF from GA, IFN, or DMF is a reasonable treatment strategy, with low rates of discontinuation due to GI AEs. Trial Registration ClinicalTrials.gov (NCT02634307). Infographic ![]()
Supplementary Information The online version contains supplementary material available at 10.1007/s12325-022-02068-7.
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Nakamura K, Mokliatchouk O, Arnold DL, Yousry TA, Kappos L, Richert N, Ayling-Rouse K, Miller C, Fisher E. Effects of Dimethyl Fumarate on Brain Atrophy in Relapsing-Remitting Multiple Sclerosis: Pooled Analysis Phase 3 DEFINE and CONFIRM Studies. Front Neurol 2022; 13:809273. [PMID: 35370887 PMCID: PMC8973916 DOI: 10.3389/fneur.2022.809273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 01/31/2022] [Indexed: 11/13/2022] Open
Abstract
Objective In the pivotal DEFINE and CONFIRM trials for dimethyl fumarate (DMF), patterns of brain volume changes were different, potentially due to low sample sizes and because MRIs were analyzed at two different reading centers. We evaluated effects of DMF on brain volume change in patients with multiple sclerosis (MS) through reanalysis of pooled images from DEFINE/CONFIRM trials in one reading center. Methods MRIs from DEFINE/CONFIRM at weeks 0, 24, 48, and 96 from patients randomized to twice-daily DMF or placebo (PBO) were reanalyzed at the Cleveland Clinic to measure brain parenchymal fraction (BPF). To account for pseudoatrophy, brain volume estimates were re-baselined to calculate changes for weeks 48–96. Results Across studies, 301 and 314 patients receiving DMF and PBO, respectively, had analyzable MRIs. In weeks 0–48, mean ± SE percentage change in BPF was −0.44 ± 0.04 vs. −0.34 ± 0.04% in DMF vs. PBO, respectively, whereas in weeks 48–96, mean ± SE percentage change in BPF was −0.27 ± 0.03 vs. −0.41 ± 0.04% in DMF vs. PBO, respectively. The mixed-effect model for repeated measures showed similar results: in weeks 48–96, estimated change (95% confidence interval) in BPF was −0.0021 (−0.0027, −0.0016) for DMF vs. −0.0033 (−0.0039, −0.0028) for PBO (35.9% reduction; p = 0.0025). Conclusions The lower rate of whole brain volume loss with DMF in this pooled BPF analysis in the second year vs. PBO is consistent with its effects on relapses, disability, and MRI lesions. Brain volume changes in the first year may be explained by pseudoatrophy effects also described in other MS clinical trials.
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Affiliation(s)
- Kunio Nakamura
- Department of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, United States
| | | | - Douglas L. Arnold
- McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada
| | - Tarek A. Yousry
- Lysholm Department of Neuroradiology, National Hospital for Neurology and Neurosurgery, University College London Institute of Neurology, London, United Kingdom
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital and University of Basel, Basel, Switzerland
| | | | | | | | - Elizabeth Fisher
- Biogen, Cambridge, MA, United States
- *Correspondence: Elizabeth Fisher
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18
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Predictive MRI Biomarkers in MS—A Critical Review. Medicina (B Aires) 2022; 58:medicina58030377. [PMID: 35334554 PMCID: PMC8949449 DOI: 10.3390/medicina58030377] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 02/12/2022] [Accepted: 02/21/2022] [Indexed: 11/16/2022] Open
Abstract
Background and Objectives: In this critical review, we explore the potential use of MRI measurements as prognostic biomarkers in multiple sclerosis (MS) patients, for both conventional measurements and more novel techniques such as magnetization transfer, diffusion tensor, and proton spectroscopy MRI. Materials and Methods: All authors individually and comprehensively reviewed each of the aspects listed below in PubMed, Medline, and Google Scholar. Results: There are numerous MRI metrics that have been proven by clinical studies to hold important prognostic value for MS patients, most of which can be readily obtained from standard 1.5T MRI scans. Conclusions: While some of these parameters have passed the test of time and seem to be associated with a reliable predictive power, some are still better interpreted with caution. We hope this will serve as a reminder of how vast a resource we have on our hands in this versatile tool—it is up to us to make use of it.
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Mangesius S, Haider L, Lenhart L, Steiger R, Prados Carrasco F, Scherfler C, Gizewski ER. Qualitative and Quantitative Comparison of Hippocampal Volumetric Software Applications: Do All Roads Lead to Rome? Biomedicines 2022; 10:biomedicines10020432. [PMID: 35203641 PMCID: PMC8962257 DOI: 10.3390/biomedicines10020432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Revised: 01/30/2022] [Accepted: 02/10/2022] [Indexed: 02/06/2023] Open
Abstract
Brain volumetric software is increasingly suggested for clinical routine. The present study quantifies the agreement across different software applications. Ten cases with and ten gender- and age-adjusted healthy controls without hippocampal atrophy (median age: 70; 25–75% range: 64–77 years and 74; 66–78 years) were retrospectively selected from a previously published cohort of Alzheimer’s dementia patients and normal ageing controls. Hippocampal volumes were computed based on 3 Tesla T1-MPRAGE-sequences with FreeSurfer (FS), Statistical-Parametric-Mapping (SPM; Neuromorphometrics and Hammers atlases), Geodesic-Information-Flows (GIF), Similarity-and-Truth-Estimation-for-Propagated-Segmentations (STEPS), and Quantib™. MTA (medial temporal lobe atrophy) scores were manually rated. Volumetric measures of each individual were compared against the mean of all applications with intraclass correlation coefficients (ICC) and Bland–Altman plots. Comparing against the mean of all methods, moderate to low agreement was present considering categorization of hippocampal volumes into quartiles. ICCs ranged noticeably between applications (left hippocampus (LH): from 0.42 (STEPS) to 0.88 (FS); right hippocampus (RH): from 0.36 (Quantib™) to 0.86 (FS). Mean differences between individual methods and the mean of all methods [mm3] were considerable (LH: FS −209, SPM-Neuromorphometrics −820; SPM-Hammers −1474; Quantib™ −680; GIF 891; STEPS 2218; RH: FS −232, SPM-Neuromorphometrics −745; SPM-Hammers −1547; Quantib™ −723; GIF 982; STEPS 2188). In this clinically relevant sample size with large spread in data ranging from normal aging to severe atrophy, hippocampal volumes derived by well-accepted applications were quantitatively different. Thus, interchangeable use is not recommended.
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Affiliation(s)
- Stephanie Mangesius
- Department of Neuroradiology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria; (S.M.); (L.L.); (R.S.); (E.R.G.)
- Neuroimaging Core Facility, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria
| | - Lukas Haider
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London Institute of Neurology, Russell Square House, Russell Square 10-12, London WC1B 5EH, UK;
- Department of Biomedical Imaging and Image Guided Therapy, Medical University of Vienna, Währinger Gürtel 18-20, 1090 Vienna, Austria
- Correspondence:
| | - Lukas Lenhart
- Department of Neuroradiology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria; (S.M.); (L.L.); (R.S.); (E.R.G.)
- Neuroimaging Core Facility, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria
| | - Ruth Steiger
- Department of Neuroradiology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria; (S.M.); (L.L.); (R.S.); (E.R.G.)
- Neuroimaging Core Facility, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria
| | - Ferran Prados Carrasco
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London Institute of Neurology, Russell Square House, Russell Square 10-12, London WC1B 5EH, UK;
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, Malet Place Engineering Building, Gower Street, London WC1E 6BT, UK
- e-Health Centre, Universitat Oberta de Catalunya, Rambla del Poblenou 156, 08018 Barcelona, Spain
| | - Christoph Scherfler
- Department of Neurology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria;
| | - Elke R. Gizewski
- Department of Neuroradiology, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria; (S.M.); (L.L.); (R.S.); (E.R.G.)
- Neuroimaging Core Facility, Medical University of Innsbruck, Anichstrasse 35, 6020 Innsbruck, Austria
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Patti F, Chisari CG, Toscano S, Arena S, Finocchiaro C, Cimino V, Milone G. Autologous Hematopoietic Stem Cell Transplantation in Multiple Sclerosis Patients: Monocentric Case Series and Systematic Review of the Literature. J Clin Med 2022; 11:jcm11040942. [PMID: 35207216 PMCID: PMC8875789 DOI: 10.3390/jcm11040942] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/01/2022] [Accepted: 02/02/2022] [Indexed: 02/05/2023] Open
Abstract
Multiple sclerosis (MS) is a chronic, inflammatory and immune-mediated disease of the central nervous system (CNS), commonly affecting young adults and potentially associated with life-long disability. About 14 disease-modifying treatments (DMTs) are currently approved for the treatment of MS. However, despite the use of highly effective therapies, some patients exhibit a highly active disease with an aggressive course from onset and a higher risk of long-term disability accrual. In the last few years, several retrospective studies, clinical trials, meta-analyses and systematic reviews have investigated autologous hematopoietic stem cell transplantation (AHSCT) as a possible therapeutic option in order to address this unmet clinical need. These studies demonstrated that AHSCT is a highly efficacious and relatively safe therapeutic option for the treatment of highly active MS. Particularly, over recent years, the amount of evidence has grown, with significant improvements in the development of patient selection criteria, choice of the most suitable transplant technique and clinical experience. In this paper, we present six patients who received AHSCT in our MS center and we systematically reviewed recent evidence about the long-term efficacy and safety of AHSCT and the placement of AHSCT in the rapidly evolving therapeutic armamentarium for MS.
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Affiliation(s)
- Francesco Patti
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 95125 Catania, Italy; (S.T.); (S.A.); (C.F.)
- Correspondence: (F.P.); (C.G.C.); Tel.: +39-09-5378-2620 (F.P.)
| | - Clara Grazia Chisari
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 95125 Catania, Italy; (S.T.); (S.A.); (C.F.)
- Correspondence: (F.P.); (C.G.C.); Tel.: +39-09-5378-2620 (F.P.)
| | - Simona Toscano
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 95125 Catania, Italy; (S.T.); (S.A.); (C.F.)
| | - Sebastiano Arena
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 95125 Catania, Italy; (S.T.); (S.A.); (C.F.)
| | - Chiara Finocchiaro
- Department of Medical, Surgical Sciences and Advanced Technologies “G.F. Ingrassia”, University of Catania, 95125 Catania, Italy; (S.T.); (S.A.); (C.F.)
| | - Vincenzo Cimino
- IRCCS Centro Neurolesi “Bonino Pulejo”, 98124 Messina, Italy;
| | - Giuseppe Milone
- Hematology and Bone Marrow Transplant Unit, Azienda Policlinico-Vittorio Emanuele, 95124 Catania, Italy;
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Temmerman J, Van Der Veken F, Engelborghs S, Guldolf K, Nagels G, Smeets D, Allemeersch GJ, Costers L, D’hooghe MB, Vanbinst AM, Van Schependom J, Bjerke M, D’haeseleer M. Brain Volume Loss Can Occur at the Rate of Normal Aging in Patients with Multiple Sclerosis Who Are Free from Disease Activity. J Clin Med 2022; 11:jcm11030523. [PMID: 35159972 PMCID: PMC8836909 DOI: 10.3390/jcm11030523] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 01/13/2022] [Accepted: 01/14/2022] [Indexed: 02/05/2023] Open
Abstract
Multiple sclerosis (MS) is a chronic inflammatory demyelinating and degenerative disorder of the central nervous system. Accelerated brain volume loss (BVL) has emerged as a promising magnetic resonance imaging marker (MRI) of neurodegeneration, correlating with present and future clinical disability. We have systematically selected MS patients fulfilling ‘no evidence of disease activity-3′ (NEDA-3) criteria under high-efficacy disease-modifying treatment (DMT) from the database of two Belgian MS centers. BVL between both MRI scans demarcating the NEDA-3 period was assessed and compared with a group of prospectively recruited healthy volunteers who were matched for age and gender. Annualized whole brain volume percentage change was similar between 29 MS patients achieving NEDA-3 and 24 healthy controls (−0.25 ± 0.49 versus −0.24 ± 0.20, p = 0.9992; median follow-up 21 versus 33 months; respectively). In contrast, we found a mean BVL increase of 72%, as compared with the former, in a second control group of MS patients (n = 21) whom had been excluded from the NEDA-3 group due to disease activity (p = 0.1371). Our results suggest that neurodegeneration in MS can slow down to the rate of normal aging once inflammatory disease activity has been extinguished and advocate for an early introduction of high-efficacy DMT to reduce the risk of future clinical disability.
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Affiliation(s)
- Joke Temmerman
- Department of Neurology, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium; (J.T.); (F.V.D.V.); (S.E.); (K.G.); (G.N.); (M.B.D.)
- Center for Neurosciences (C4N), NEUR and AIMS, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussel, Belgium; (D.S.); (L.C.); (J.V.S.); (M.B.)
- Department of Biomedical Sciences, Institute Born-Bunge, Universiteit Antwerpen, Universiteitsplein 1, 2610 Antwerp, Belgium
| | - Floris Van Der Veken
- Department of Neurology, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium; (J.T.); (F.V.D.V.); (S.E.); (K.G.); (G.N.); (M.B.D.)
| | - Sebastiaan Engelborghs
- Department of Neurology, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium; (J.T.); (F.V.D.V.); (S.E.); (K.G.); (G.N.); (M.B.D.)
- Center for Neurosciences (C4N), NEUR and AIMS, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussel, Belgium; (D.S.); (L.C.); (J.V.S.); (M.B.)
- Department of Biomedical Sciences, Institute Born-Bunge, Universiteit Antwerpen, Universiteitsplein 1, 2610 Antwerp, Belgium
| | - Kaat Guldolf
- Department of Neurology, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium; (J.T.); (F.V.D.V.); (S.E.); (K.G.); (G.N.); (M.B.D.)
- Department of Neurology, Onze-Lieve-Vrouw Ziekenhuis, Moorselbaan 164, 9300 Aalst, Belgium
| | - Guy Nagels
- Department of Neurology, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium; (J.T.); (F.V.D.V.); (S.E.); (K.G.); (G.N.); (M.B.D.)
- Center for Neurosciences (C4N), NEUR and AIMS, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussel, Belgium; (D.S.); (L.C.); (J.V.S.); (M.B.)
- Icometrix, Kolonel Begaultlaan 1b, 3012 Leuven, Belgium
| | - Dirk Smeets
- Center for Neurosciences (C4N), NEUR and AIMS, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussel, Belgium; (D.S.); (L.C.); (J.V.S.); (M.B.)
- Icometrix, Kolonel Begaultlaan 1b, 3012 Leuven, Belgium
| | - Gert-Jan Allemeersch
- Department of Radiology, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium; (G.-J.A.); (A.-M.V.)
| | - Lars Costers
- Center for Neurosciences (C4N), NEUR and AIMS, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussel, Belgium; (D.S.); (L.C.); (J.V.S.); (M.B.)
- Icometrix, Kolonel Begaultlaan 1b, 3012 Leuven, Belgium
| | - Marie B. D’hooghe
- Department of Neurology, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium; (J.T.); (F.V.D.V.); (S.E.); (K.G.); (G.N.); (M.B.D.)
- Center for Neurosciences (C4N), NEUR and AIMS, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussel, Belgium; (D.S.); (L.C.); (J.V.S.); (M.B.)
- Nationaal Multiple Sclerose Centrum (NMSC), Vanheylenstraat 16, 1820 Melsbroek, Belgium
| | - Anne-Marie Vanbinst
- Department of Radiology, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium; (G.-J.A.); (A.-M.V.)
| | - Jeroen Van Schependom
- Center for Neurosciences (C4N), NEUR and AIMS, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussel, Belgium; (D.S.); (L.C.); (J.V.S.); (M.B.)
- Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel (VUB), Pleinlaan 2, 1050 Brussels, Belgium
| | - Maria Bjerke
- Center for Neurosciences (C4N), NEUR and AIMS, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussel, Belgium; (D.S.); (L.C.); (J.V.S.); (M.B.)
- Department of Biomedical Sciences, Institute Born-Bunge, Universiteit Antwerpen, Universiteitsplein 1, 2610 Antwerp, Belgium
- Laboratory of Clinical Neurochemistry, Department of Clinical Biology, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium
| | - Miguel D’haeseleer
- Department of Neurology, Universitair Ziekenhuis Brussel (UZ Brussel), Laarbeeklaan 101, 1090 Brussels, Belgium; (J.T.); (F.V.D.V.); (S.E.); (K.G.); (G.N.); (M.B.D.)
- Center for Neurosciences (C4N), NEUR and AIMS, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, 1090 Brussel, Belgium; (D.S.); (L.C.); (J.V.S.); (M.B.)
- Nationaal Multiple Sclerose Centrum (NMSC), Vanheylenstraat 16, 1820 Melsbroek, Belgium
- Correspondence:
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22
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Masuda H, Mori M, Hirano S, Uzawa A, Uchida T, Muto M, Ohtani R, Aoki R, Kuwabara S. Silent progression of brain atrophy in aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder. J Neurol Neurosurg Psychiatry 2022; 93:32-40. [PMID: 34362853 PMCID: PMC8685614 DOI: 10.1136/jnnp-2021-326386] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 07/12/2021] [Indexed: 01/08/2023]
Abstract
OBJECTIVE To investigate longitudinal brain atrophy in patients with neuromyelitis optica spectrum disorder (NMOSD). METHODS We investigated the longitudinal brain atrophy rate in patients with aquaporin-4 antibody-positive NMOSD (AQP4+NMOSD) and those with multiple sclerosis (MS) in a retrospective cohort study. Brain volume was calculated with statistical parametric mapping-12. RESULTS We enrolled 36 patients with AQP4+NMOSD and 60 with MS. Patients with NMOSD were older and had a higher Kurtzke's expanded disability status scale score at baseline MRI compared with those with MS. Disease duration, annual relapse rate and intervals from the last attack and from disease-modifying drugs initiation were not significantly different between the two groups. Lower normalised lesion volume and higher normalised white matter volume were found in patients with NMOSD compared with those with MS at baseline MRI. However, the annualised atrophy rate of normalised brain volume was similar between the NMOSD (median 0.47; IQR 0.75; p=0.49) and MS (median 0.46; IQR 0.84) groups. After adjustment of age and the presence of clinical relapse, no differences of the annualised atrophy rate of normalised brain volume also were found for NMOSD and MS. Patients with AQP4+NMOSD with long cord lesion showed higher annualised atrophy rate of normalised grey matter volume compared with those without long cord lesion. CONCLUSIONS Silent progression of brain atrophy was present in patients with AQP4+NMOSD, as shown in patients with MS, even in the clinically inactive age-matched cases. Subclinical dying back degeneration may explain the brain atrophy in patients with AQP4 +NMOSD.
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Affiliation(s)
- Hiroki Masuda
- Neurology, Chiba University Graduate School of Medicine School of Medicine, Chiba, Japan
| | - Masahiro Mori
- Neurology, Chiba University Graduate School of Medicine School of Medicine, Chiba, Japan
| | - Shigeki Hirano
- Neurology, Chiba University Graduate School of Medicine School of Medicine, Chiba, Japan
| | - Akiyuki Uzawa
- Neurology, Chiba University Graduate School of Medicine School of Medicine, Chiba, Japan
| | - Tomohiko Uchida
- Neurology, Chiba University Graduate School of Medicine School of Medicine, Chiba, Japan
| | - Mayumi Muto
- Neurology, Chiba University Graduate School of Medicine School of Medicine, Chiba, Japan
| | - Ryohei Ohtani
- Neurology, Chiba University Graduate School of Medicine School of Medicine, Chiba, Japan
| | - Reiji Aoki
- Neurology, Chiba University Graduate School of Medicine School of Medicine, Chiba, Japan
| | - Satoshi Kuwabara
- Neurology, Chiba University Graduate School of Medicine School of Medicine, Chiba, Japan
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23
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Orsi G, Hayden Z, Cseh T, Berki T, Illes Z. Osteopontin levels are associated with late-time lower regional brain volumes in multiple sclerosis. Sci Rep 2021; 11:23604. [PMID: 34880402 PMCID: PMC8654976 DOI: 10.1038/s41598-021-03173-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 11/22/2021] [Indexed: 01/24/2023] Open
Abstract
Osteopontin (OPN) is a proinflammatory marker produced by systemic immune and central nervous system (CNS) resident cells. We examined, if the level of OPN in the cerebrospinal fluid (CSF) and blood is associated with late-time regional brain volumes and white matter (WM) lesion load in MS. Concentrations of OPN in blood and CSF were related to MRI findings 10.1 ± 2.0 years later in 46 patients with MS. OPN concentration was measured by ELISA, while regional brain volumes and lesion load was assessed by magnetic resonance imaging (MRI) using 3D MPRAGE sequence and automated MR volumetry. OPN measured in the CSF was associated with several regional brain volumes and WM lesion load measured 10.1 ± 2.0 years later. CSF OPN concentration correlated with long-term enlargement of lateral- and inferior lateral ventricles and the elevation of gross CSF volume, in conjunction with the reduction of several cortical/subcortical gray matter and WM volumes. Serum OPN showed no long-term association with regional brain volumes. OPN measured from the CSF but not from the serum was associated with lower regional brain volumes measured a decade later, indicating the primary role of inflammation within the CNS in developing long-term brain related alterations.
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Affiliation(s)
- Gergely Orsi
- MTA-PTE Clinical Neuroscience MR Research Group, Eötvös Loránd Research Network (ELKH), Ret str. 2, 7623, Pecs, Hungary.
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary.
| | - Zsofia Hayden
- Department of Immunology and Biotechnology, Medical School, University of Pecs, Pecs, Hungary
| | - Tamas Cseh
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary
| | - Timea Berki
- Department of Immunology and Biotechnology, Medical School, University of Pecs, Pecs, Hungary
| | - Zsolt Illes
- Department of Neurology, Medical School, University of Pecs, Pecs, Hungary
- Department of Neurology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
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24
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Health Economic Impact of Software-Assisted Brain MRI on Therapeutic Decision-Making and Outcomes of Relapsing-Remitting Multiple Sclerosis Patients-A Microsimulation Study. Brain Sci 2021; 11:brainsci11121570. [PMID: 34942872 PMCID: PMC8699604 DOI: 10.3390/brainsci11121570] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Revised: 11/20/2021] [Accepted: 11/25/2021] [Indexed: 11/17/2022] Open
Abstract
Aim: To develop a microsimulation model to assess the potential health economic impact of software-assisted MRI in detecting disease activity or progression in relapsing-remitting multiple sclerosis (RRMS) patients. Methods: We develop a simulated decision analytical model based on a hypothetical cohort of RRMS patients to compare a baseline decision-making strategy in which only clinical evolution (relapses and disability progression) factors are used for therapy decisions in MS follow-up, with decision-making strategies involving MRI. In this context, we include comparisons with a visual radiologic assessment of lesion evolution, software-assisted lesion detection, and software-assisted brain volume loss estimation. The model simulates clinical (EDSS transitions, number of relapses) and subclinical (new lesions and brain volume loss) disease progression and activity, modulated by the efficacy profiles of different disease-modifying therapies (DMTs). The simulated decision-making process includes the possibility to escalate from a low efficacy DMT to a high efficacy DMT or to switch between high efficacy DMTs when disease activity is detected. We also consider potential error factors that may occur during decision making, such as incomplete detection of new lesions, or inexact computation of brain volume loss. Finally, differences between strategies in terms of the time spent on treatment while having undetected disease progression/activity, the impact on the patient’s quality of life, and costs associated with health status from a US perspective, are reported. Results: The average time with undetected disease progression while on low efficacy treatment is shortened significantly when using MRI, from around 3 years based on clinical criteria alone, to 2 when adding visual examination of MRI, and down to only 1 year with assistive software. Hence, faster escalation to a high efficacy DMT can be performed when MRI software is added to the radiological reading, which has positive effects in terms of health outcomes. The incremental utility shows average gains of 0.23 to 0.37 QALYs over 10 and 15 years, respectively, when using software-assisted MRI compared to clinical parameters only. Due to long-term health benefits, the average annual costs associated with health status are lower by $1500–$2200 per patient when employing MRI and assistive software. Conclusions: The health economic burden of MS is high. Using assistive MRI software to detect and quantify lesions and/or brain atrophy has a significant impact on the detection of disease activity, treatment decisions, health outcomes, utilities, and costs in patients with MS.
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25
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Groppa S, Gonzalez-Escamilla G, Eshaghi A, Meuth SG, Ciccarelli O. Linking immune-mediated damage to neurodegeneration in multiple sclerosis: could network-based MRI help? Brain Commun 2021; 3:fcab237. [PMID: 34729480 PMCID: PMC8557667 DOI: 10.1093/braincomms/fcab237] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/21/2021] [Indexed: 01/04/2023] Open
Abstract
Inflammatory demyelination characterizes the initial stages of multiple sclerosis, while progressive axonal and neuronal loss are coexisting and significantly contribute to the long-term physical and cognitive impairment. There is an unmet need for a conceptual shift from a dualistic view of multiple sclerosis pathology, involving either inflammatory demyelination or neurodegeneration, to integrative dynamic models of brain reorganization, where, glia-neuron interactions, synaptic alterations and grey matter pathology are longitudinally envisaged at the whole-brain level. Functional and structural MRI can delineate network hallmarks for relapses, remissions or disease progression, which can be linked to the pathophysiology behind inflammatory attacks, repair and neurodegeneration. Here, we aim to unify recent findings of grey matter circuits dynamics in multiple sclerosis within the framework of molecular and pathophysiological hallmarks combined with disease-related network reorganization, while highlighting advances from animal models (in vivo and ex vivo) and human clinical data (imaging and histological). We propose that MRI-based brain networks characterization is essential for better delineating ongoing pathology and elaboration of particular mechanisms that may serve for accurate modelling and prediction of disease courses throughout disease stages.
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Affiliation(s)
- Sergiu Groppa
- Imaging and Neurostimulation, Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Gabriel Gonzalez-Escamilla
- Imaging and Neurostimulation, Department of Neurology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz 55131, Germany
| | - Arman Eshaghi
- Department of Neuroinflammation, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London WC1E 6BT, UK.,Department of Computer Science, Centre for Medical Image Computing (CMIC), University College London, London WC1E 6BT, UK
| | - Sven G Meuth
- Department of Neurology, Medical Faculty, Heinrich Heine University, Düsseldorf 40225, Germany
| | - Olga Ciccarelli
- Department of Neuroinflammation, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London WC1E 6BT, UK
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26
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Oh J, Arbour N, Giuliani F, Guenette M, Kolind S, Lynd L, Marrie RA, Metz LM, Patten SB, Prat A, Schabas A, Smyth P, Tam R, Traboulsee A, Yong VW. The Canadian prospective cohort study to understand progression in multiple sclerosis (CanProCo): rationale, aims, and study design. BMC Neurol 2021; 21:418. [PMID: 34706670 PMCID: PMC8549411 DOI: 10.1186/s12883-021-02447-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 10/13/2021] [Indexed: 11/10/2022] Open
Abstract
Background Neurological disability progression occurs across the spectrum of people living with multiple sclerosis (MS). Although there are a handful of disease-modifying treatments approved for use in progressive phenotypes of MS, there are no treatments that substantially modify the course of clinical progression in MS. Characterizing the determinants of clinical progression can inform the development of novel therapeutic agents and treatment approaches that target progression in MS, which is one of the greatest unmet needs in clinical practice. Canada, having one of the world’s highest rates of MS and a publicly-funded health care system, represents an optimal country to achieve in-depth analysis of progression. Accordingly, the overarching aim of the Canadian Prospective Cohort Study to Understand Progression in MS (CanProCo) is to evaluate a wide spectrum of factors associated with the clinical onset and rate of disease progression in MS, and to describe how these factors relate to one another to influence progression. Methods CanProCo is a prospective, observational cohort study with investigators specializing in epidemiology, neuroimaging, neuroimmunology, health services research and health economics. CanProCo’s study design was approved by an international review panel, comprised of content experts and key stakeholders. One thousand individuals with radiologically-isolated syndrome, relapsing-remitting MS, and primary-progressive MS within 10–15 years of disease onset will be recruited from 5 academic MS centres in Canada. Participants will undergo detailed clinical evaluation annually over 5 years (including advanced, app-based clinical data collection). In a subset of participants within 5–10 years of disease onset (n = 500), blood, cerebrospinal fluid, and research MRIs will be collected allowing an integrated, in-depth evaluation of factors contributing to progression in MS from multiple perspectives. Factors of interest range from biological measures (e.g. single-cell RNA-sequencing), MRI-based microstructural assessment, participant characteristics (self-reported, performance-based, clinician-assessed, health-system based), and micro and macro-environmental factors. Discussion Halting the progression of MS remains a fundamental need to improve the lives of people living with MS. Achieving this requires leveraging transdisciplinary approaches to better characterize why clinical progression occurs. CanProCo is a pioneering multi-dimensional cohort study aiming to characterize these determinants to inform the development and implementation of efficacious and effective interventions. Supplementary Information The online version contains supplementary material available at 10.1186/s12883-021-02447-7.
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Affiliation(s)
- Jiwon Oh
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
| | - Nathalie Arbour
- Department of Neurosciences, Université de Montréal and Centre hospitalier de l'Université de Montréal, 900 rue St. Denis, Montreal, QC, H2X 0A9, Canada
| | - Fabrizio Giuliani
- Division of Neurology, Department of Medicine and Neuroscience and Mental Health Institute, University of Alberta, 11350-83 Avenue, Edmonton, AB, T6G 2G3, Canada
| | - Melanie Guenette
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, ON, M5B 1W8, Canada
| | - Shannon Kolind
- Department of Medicine, Division of Neurology, University of British Columbia, 2221 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada.,Department of Radiology, University of British Columbia, 2221 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Larry Lynd
- Faculty of Pharmaceutical Sciences, University of British Columbia, 2405 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada.,Centre for Health Evaluation and Outcome Sciences, Providence Health Research Institute, 1081 Burrard Street, Vancouver, BC, V6Z 1Y6, Canada
| | - Ruth Ann Marrie
- Departments of Internal Medicine and Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, 744 Bannatyne Ave, Winnipeg, MB, R3E 0W2, Canada
| | - Luanne M Metz
- Department of Clinical Neurosciences, University of Calgary Foothills Hospital, 1403-29th Street NW, Calgary, AB, T2N 2T9, Canada
| | - Scott B Patten
- Department of Community Health Sciences, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4Z6, Canada
| | - Alexandre Prat
- Department of Neurosciences, Université de Montréal and Centre hospitalier de l'Université de Montréal, 900 rue St. Denis, Montreal, QC, H2X 0A9, Canada
| | - Alice Schabas
- Department of Medicine, Division of Neurology, University of British Columbia, 2221 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - Penelope Smyth
- Division of Neurology, Department of Medicine and Neuroscience and Mental Health Institute, University of Alberta, 11350-83 Avenue, Edmonton, AB, T6G 2G3, Canada
| | - Roger Tam
- Department of Radiology, University of British Columbia, 2221 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada.,School of Biomedical Engineering, University of British Columbia, 2222 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada
| | - Anthony Traboulsee
- Department of Medicine, Division of Neurology, University of British Columbia, 2221 Wesbrook Mall, Vancouver, BC, V6T 2B5, Canada
| | - V Wee Yong
- Department of Clinical Neurosciences and the Hotchkiss Brain Institute, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada
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27
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Krajnc N, Bsteh G, Berger T. Clinical and Paraclinical Biomarkers and the Hitches to Assess Conversion to Secondary Progressive Multiple Sclerosis: A Systematic Review. Front Neurol 2021; 12:666868. [PMID: 34512500 PMCID: PMC8427301 DOI: 10.3389/fneur.2021.666868] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Accepted: 07/06/2021] [Indexed: 12/11/2022] Open
Abstract
Conversion to secondary progressive (SP) course is the decisive factor for long-term prognosis in relapsing multiple sclerosis (MS), generally considered the clinical equivalent of progressive MS-associated neuroaxonal degeneration. Evidence is accumulating that both inflammation and neurodegeneration are present along a continuum of pathologic processes in all phases of MS. While inflammation is the prominent feature in early stages, its quality changes and relative importance to disease course decreases while neurodegenerative processes prevail with ongoing disease. Consequently, anti-inflammatory disease-modifying therapies successfully used in relapsing MS are ineffective in SPMS, whereas specific treatment for the latter is increasingly a focus of MS research. Therefore, the prevention, but also the (anticipatory) diagnosis of SPMS, is of crucial importance. The problem is that currently SPMS diagnosis is exclusively based on retrospectively assessing the increase of overt physical disability usually over the past 6–12 months. This inevitably results in a delay of diagnosis of up to 3 years resulting in periods of uncertainty and, thus, making early therapy adaptation to prevent SPMS conversion impossible. Hence, there is an urgent need for reliable and objective biomarkers to prospectively predict and define SPMS conversion. Here, we review current evidence on clinical parameters, magnetic resonance imaging and optical coherence tomography measures, and serum and cerebrospinal fluid biomarkers in the context of MS-associated neurodegeneration and SPMS conversion. Ultimately, we discuss the necessity of multimodal approaches in order to approach objective definition and prediction of conversion to SPMS.
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Affiliation(s)
- Nik Krajnc
- Department of Neurology, Medical University of Vienna, Vienna, Austria.,Department of Neurology, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Gabriel Bsteh
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Thomas Berger
- Department of Neurology, Medical University of Vienna, Vienna, Austria
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28
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Measuring Treatment Response in Progressive Multiple Sclerosis-Considerations for Adapting to an Era of Multiple Treatment Options. Biomolecules 2021; 11:biom11091342. [PMID: 34572555 PMCID: PMC8470215 DOI: 10.3390/biom11091342] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 09/01/2021] [Accepted: 09/07/2021] [Indexed: 12/15/2022] Open
Abstract
Disability in multiple sclerosis accrues predominantly in the progressive forms of the disease. While disease-modifying treatment of relapsing MS has drastically evolved over the last quarter-century, the development of efficient drugs for preventing or at least delaying disability in progressive MS has proven more challenging. In that way, many drugs (especially disease-modifying treatments) have been researched in the aspect of delaying disability progression in patients with a progressive course of the disease. While there are some disease-modifying treatments approved for progressive multiple sclerosis, their effect is moderate and limited mostly to patients with clinical and/or radiological signs of disease activity. Several phase III trials have used different primary outcomes with different time frames to define disease progression and to evaluate the efficacy of a disease-modifying treatment. The lack of sufficiently sensitive outcome measures could be a possible explanation for the negative clinical trials in progressive multiple sclerosis. On the other hand, even with a potential outcome measure that would be sensitive enough to determine disease progression and, thus, the efficacy or failure of a disease-modifying treatment, the question of clinical relevance remains unanswered. In this systematic review, we analyzed outcome measures and definitions of disease progression in phase III clinical trials in primary and secondary progressive multiple sclerosis. We discuss advantages and disadvantages of clinical and paraclinical outcome measures aiming for practical ways of combining them to detect disability progression more sensitively both in future clinical trials and current clinical routine.
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29
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Pardo G, Coates S, Okuda DT. Outcome measures assisting treatment optimization in multiple sclerosis. J Neurol 2021; 269:1282-1297. [PMID: 34338857 PMCID: PMC8857110 DOI: 10.1007/s00415-021-10674-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 06/14/2021] [Accepted: 06/16/2021] [Indexed: 11/30/2022]
Abstract
Objective To review instruments used to assess disease stability or progression in persons with multiple sclerosis (pwMS) that can guide clinicians in optimizing therapy. Methods A non-systematic review of scientific literature was undertaken to explore modalities of monitoring symptoms and the disease evolution of MS. Results Multiple outcome measures, or tools, have been developed for use in MS research as well as for the clinical management of pwMS. Beginning with the Expanded Disability Status Scale, introduced in 1983, clinicians and researchers have developed monitoring modalities to assess all aspects of MS and the neurological impairment it causes. Conclusions Much progress has been made in recent decades for the management of MS and for the evaluation of disease progression. New technology, such as wearable sensors, will provide new opportunities to better understand changes in function, dexterity, and cognition. Essential work over the decades since EDSS was introduced continues to improve our ability to treat this debilitating disease.
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Affiliation(s)
- Gabriel Pardo
- OMRF Multiple Sclerosis Center of Excellence, Oklahoma Medical Research Foundation, 820 NE 15th Street, Oklahoma City, OK, 73104, USA.
| | | | - Darin T Okuda
- Department of Neurology, University of Texas Southwestern, Dallas, TX, USA
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30
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Tortora M, Tranfa M, D’Elia AC, Pontillo G, Petracca M, Bozzao A, Caranci F, Cervo A, Cosottini M, Falini A, Longo M, Manara R, Muto M, Porcu M, Roccatagliata L, Todeschini A, Saba L, Brunetti A, Cocozza S, Elefante A. Walk Your Talk: Real-World Adherence to Guidelines on the Use of MRI in Multiple Sclerosis. Diagnostics (Basel) 2021; 11:diagnostics11081310. [PMID: 34441245 PMCID: PMC8394408 DOI: 10.3390/diagnostics11081310] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 07/15/2021] [Accepted: 07/19/2021] [Indexed: 11/23/2022] Open
Abstract
(1) Although guidelines about the use of MRI sequences for Multiple Sclerosis (MS) diagnosis and follow-up are available, variability in acquisition protocols is not uncommon in everyday clinical practice. The aim of this study was to evaluate the real-world application of MS imaging guidelines in different settings to clarify the level of adherence to these guidelines. (2) Via an on-line anonymous survey, neuroradiologists (NR) were asked about MRI protocols and parameters routinely acquired when MS patients are evaluated in their center, both at diagnosis and follow-up. Furthermore, data about report content and personal opinions about emerging neuroimaging markers were also retrieved. (3) A total of 46 participants were included, mostly working in a hospital or university hospital (80.4%) and with more than 10 years of experience (47.9%). We found a relatively good adherence to the suggested MRI protocols regarding the use of T2-weighted sequences, although almost 10% of the participants routinely acquired 2D sequences with a slice thickness superior to 3 mm. On the other hand, a wider degree of heterogeneity was found regarding gadolinium administration, almost routinely performed at follow-up examination (87.0% of cases) in contrast with the current guidelines, as well as a low use of a standardized reporting system (17.4% of cases). (4) Although the MS community is getting closer to a standardization of MRI protocols, there is still a relatively wide heterogeneity among NR, with particular reference to contrast administration, which must be overcome to guarantee an adequate quality of patients’ care in MS.
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Affiliation(s)
- Mario Tortora
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.T.); (M.T.); (A.C.D.); (G.P.); (A.B.); (A.E.)
| | - Mario Tranfa
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.T.); (M.T.); (A.C.D.); (G.P.); (A.B.); (A.E.)
| | - Anna Chiara D’Elia
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.T.); (M.T.); (A.C.D.); (G.P.); (A.B.); (A.E.)
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.T.); (M.T.); (A.C.D.); (G.P.); (A.B.); (A.E.)
| | - Maria Petracca
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University “Federico II”, 80131 Naples, Italy;
- Department of Human Neurosciences, Sapienza University of Rome, 00189 Rome, Italy
| | - Alessandro Bozzao
- Neuroradiology Unit, NESMOS Department, Sapienza University of Rome, 00189 Rome, Italy;
| | - Ferdinando Caranci
- Department of Medicine of Precision, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy;
| | - Amedeo Cervo
- Department of Neuroradiology, ASST Grande Ospedale Metropolitano Niguarda, 20121 Milan, Italy;
| | - Mirco Cosottini
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy;
| | - Andrea Falini
- Neuroradiology Department, IRCCS San Raffaele Hospital and University, 20132 Milan, Italy;
| | - Marcello Longo
- Neuroradiology Unit, Department of Biomedical Sciences and Morphological and Functional Images, University of Messina, 98124 Messina, Italy;
| | - Renzo Manara
- Department of Neurosciences, University of Padua, 35121 Padua, Italy;
| | - Mario Muto
- Diagnostic and Interventional Neuroradiology, Cardarelli Hospital, 80131 Naples, Italy;
| | - Michele Porcu
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.) di Cagliari, 09124 Cagliari, Italy; (M.P.); (L.S.)
| | - Luca Roccatagliata
- Department of Health Sciences, University of Genova, 16132 Genova, Italy;
- Neuroradiology Unit, IRCCS Ospedale Policlinico San Martino, 16132 Genova, Italy
| | - Alessandra Todeschini
- Neuroradiology Unit, Department of Neuroscience, Nuovo Ospedale Civile S. Agostino Estense, 41126 Modena, Italy;
| | - Luca Saba
- Department of Radiology, Azienda Ospedaliero Universitaria (A.O.U.) di Cagliari, 09124 Cagliari, Italy; (M.P.); (L.S.)
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.T.); (M.T.); (A.C.D.); (G.P.); (A.B.); (A.E.)
| | - Sirio Cocozza
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.T.); (M.T.); (A.C.D.); (G.P.); (A.B.); (A.E.)
- Correspondence:
| | - Andrea Elefante
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.T.); (M.T.); (A.C.D.); (G.P.); (A.B.); (A.E.)
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31
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Sandi D, Fricska-Nagy Z, Bencsik K, Vécsei L. Neurodegeneration in Multiple Sclerosis: Symptoms of Silent Progression, Biomarkers and Neuroprotective Therapy-Kynurenines Are Important Players. Molecules 2021; 26:molecules26113423. [PMID: 34198750 PMCID: PMC8201043 DOI: 10.3390/molecules26113423] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/01/2021] [Accepted: 06/03/2021] [Indexed: 12/17/2022] Open
Abstract
Neurodegeneration is one of the driving forces behind the pathogenesis of multiple sclerosis (MS). Progression without activity, pathopsychological disturbances (cognitive impairment, depression, fatigue) and even optic neuropathy seems to be mainly routed in this mechanism. In this article, we aim to give a comprehensive review of the clinical aspects and symptomology, radiological and molecular markers and potential therapeutic targets of neurodegeneration in connection with MS. As the kynurenine pathway (KP) was evidenced to play an important role in the pathogenesis of other neurodegenerative conditions (even implied to have a causative role in some of these diseases) and more and more recent evidence suggest the same central role in the neurodegenerative processes of MS as well, we pay special attention to the KP. Metabolites of the pathway are researched as biomarkers of the disease and new, promising data arising from clinical evaluations show the possible therapeutic capability of KP metabolites as neuroprotective drugs in MS. Our conclusion is that the kynurenine pathway is a highly important route of research both for diagnostic and for therapeutic values and is expected to yield concrete results for everyday medicine in the future.
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Affiliation(s)
- Dániel Sandi
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, H-6725 Szeged, Hungary; (D.S.); (Z.F.-N.); (K.B.)
| | - Zsanett Fricska-Nagy
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, H-6725 Szeged, Hungary; (D.S.); (Z.F.-N.); (K.B.)
| | - Krisztina Bencsik
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, H-6725 Szeged, Hungary; (D.S.); (Z.F.-N.); (K.B.)
| | - László Vécsei
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, H-6725 Szeged, Hungary; (D.S.); (Z.F.-N.); (K.B.)
- MTA-SZTE Neuroscience Research Group, University of Szeged, H-6725 Szeged, Hungary
- Interdisciplinary Excellence Centre, University of Szeged, H-6725 Szeged, Hungary
- Correspondence: ; Tel.: +36-62-545-384; Fax: +36-62-545-597
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Szilasiova J, Mikula P, Rosenberger J, Fedicova M, Urban P, Frigova L, Vitkova M, Gdovinova Z, Hanes J, Stevens E. Associations between neurofilament light chain levels, disease activity and brain atrophy in progressive multiple sclerosis. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub 2021; 166:304-311. [PMID: 34092793 DOI: 10.5507/bp.2021.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 05/24/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Neurofilament light chain is a promising biomarker of disease activity and treatment response in relapsing-remitting multiple sclerosis (MS). Its role in progressive MS is less clear. AIM The aim of the study was to assess the relationship between plasma neurofilament light chain (pNfL) and disease activity as defined by the concept NEDA-3 (No Evident Disease Activity), and brain volumetry, in a cohort of patients with the progressive disease form (PMS). METHODS Levels of pNfL (SIMOA technology) were examined in 52 PMS patients and analysed in relationship to NEDA-3 status and annual brain volume loss (BVL) during the last 12 months. The statistical model was developed using logistic regression analysis, including demographic, clinical and magnetic resonance imaging (MRI) data as independent variables. Dependent variables were NEDA-3 status and BVL. RESULTS The mean age of the study participants (n=52, 50% females) was 45.85 (SD, 9.82) and the median disability score was 5.0 (IQR: 5.0-5.5). ROC analysis showed that pNfL predicts NEDA-3 (the sensitivity and specificity of the model were 77.8% and 87.6%, respectively, P<0.001) and abnormal BVL (the sensitivity and specificity were 96.6% and 68.2%, respectively, P<0.001). CONCLUSIONS The results show that pNfL levels are a useful biomarker of disease activity determined by NEDA-3 status, including brain MRI-volumetry, in patients with the progressive form of MS.
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Affiliation(s)
- Jarmila Szilasiova
- Department of Neurology, Pavol Jozef Safarik University in Kosice, Slovak Republic.,Department of Neurology, L. Pasteur University Hospital, Kosice, Slovak Republic
| | - Pavol Mikula
- Department of Social and Behavioral Medicine, Pavol Jozef Safarik University in Kosice, Slovak Republic
| | - Jaroslav Rosenberger
- Department of Health Psychology and Methodology of Research, II. Internal Clinic, Pavol Jozef Safarik University in Kosice, Slovak Republic.,Olomouc University Social Health Institute, Palacky University Olomouc, Czech Republic
| | - Miriam Fedicova
- Department of Neurology, L. Pasteur University Hospital, Kosice, Slovak Republic
| | - Peter Urban
- Department of Medical and Clinical Biochemistry, Faculty of Medicine, Pavol Jozef Safarik University in Kosice, Slovak Republic
| | | | - Marianna Vitkova
- Department of Neurology, Pavol Jozef Safarik University in Kosice, Slovak Republic.,Department of Neurology, L. Pasteur University Hospital, Kosice, Slovak Republic
| | - Zuzana Gdovinova
- Department of Neurology, Pavol Jozef Safarik University in Kosice, Slovak Republic.,Department of Neurology, L. Pasteur University Hospital, Kosice, Slovak Republic
| | - Jozef Hanes
- Institute of Neuroimmunology, Slovak Academy of Sciences, Bratislava, Slovak Republic.,AXON Neuroscience R&D Services SE, Bratislava, Slovak Republic
| | - Eva Stevens
- AXON Neuroscience R&D Services SE, Bratislava, Slovak Republic
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Identifying multiple sclerosis subtypes using unsupervised machine learning and MRI data. Nat Commun 2021; 12:2078. [PMID: 33824310 PMCID: PMC8024377 DOI: 10.1038/s41467-021-22265-2] [Citation(s) in RCA: 83] [Impact Index Per Article: 27.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 03/09/2021] [Indexed: 12/24/2022] Open
Abstract
Multiple sclerosis (MS) can be divided into four phenotypes based on clinical evolution. The pathophysiological boundaries of these phenotypes are unclear, limiting treatment stratification. Machine learning can identify groups with similar features using multidimensional data. Here, to classify MS subtypes based on pathological features, we apply unsupervised machine learning to brain MRI scans acquired in previously published studies. We use a training dataset from 6322 MS patients to define MRI-based subtypes and an independent cohort of 3068 patients for validation. Based on the earliest abnormalities, we define MS subtypes as cortex-led, normal-appearing white matter-led, and lesion-led. People with the lesion-led subtype have the highest risk of confirmed disability progression (CDP) and the highest relapse rate. People with the lesion-led MS subtype show positive treatment response in selected clinical trials. Our findings suggest that MRI-based subtypes predict MS disability progression and response to treatment and may be used to define groups of patients in interventional trials. Multiple sclerosis is a heterogeneous progressive disease. Here, the authors use an unsupervised machine learning algorithm to determine multiple sclerosis subtypes, progression, and response to potential therapeutic treatments based on neuroimaging data.
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Bsteh G, Hegen H, Altmann P, Auer M, Berek K, Di Pauli F, Leutmezer F, Rommer P, Wurth S, Zinganell A, Zrzavy T, Deisenhammer F, Berger T. Retinal layer thinning predicts treatment failure in relapsing multiple sclerosis. Eur J Neurol 2021; 28:2037-2045. [PMID: 33735479 PMCID: PMC8251588 DOI: 10.1111/ene.14829] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Accepted: 03/16/2021] [Indexed: 11/30/2022]
Abstract
Background and purpose Peripapillary retinal nerve fiber layer (pRNFL) and macular ganglion cell plus inner plexiform layer (GCIPL) thinning are markers of neuroaxonal degeneration in multiple sclerosis (MS), which is reduced by disease‐modifying treatment (DMT). We aimed to investigate the potential of pRNFL and GCIPL thinning for prediction of DMT failure in relapsing MS (RMS). Methods In this 4‐year prospective observational study on 113 RMS patients, pRNFL and GCIPL were measured at DMT initiation and after 12 months (M12) and 24 months (M24). Treatment failure was defined as 6‐month confirmed Expanded Disability Status Scale (EDSS) progression and/or Symbol Digit Modalities Test (SDMT) worsening. Optimal cutoff values for predicting treatment failure were determined by receiver operating characteristic analyses and hazard ratios (HRs) by multivariable Cox regression adjusting for age, sex, disease duration, EDSS/SDMT, and DMT class. Results Thinning of GCIPL >0.5 μm/year at M24 showed superior value for treatment failure prediction (HR: 4.5, 95% confidence interval [CI]: 1.8–7.6, p < 0.001; specificity 91%, sensitivity 81%), followed by GCIPL >0.5 μm at M12 (odds ratio [OR]: 3.9, 95% CI: 1.4–6.9, p < 0.001; specificity 85%, sensitivity 78%), and pRNFL ≥2 μm/year at M24 (OR: 3.7, 95% CI: 1.1–6.5, p = 0.023; specificity 84%, sensitivity 69%), whereas pRNFL at M12 was not predictive. Conclusions GCIPL, and to a lesser degree pRNFL, thinning predicts disability progression after DMT initiation and may be a useful and accessible biomarker of treatment failure in RMS.
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Affiliation(s)
- Gabriel Bsteh
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Patrick Altmann
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Michael Auer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Klaus Berek
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Franziska Di Pauli
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Fritz Leutmezer
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Paulus Rommer
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Sebastian Wurth
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Anne Zinganell
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Tobias Zrzavy
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | | | - Thomas Berger
- Department of Neurology, Medical University of Vienna, Vienna, Austria
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Savšek L, Stergar T, Strojnik V, Ihan A, Koren A, Špiclin Ž, Šega Jazbec S. Impact of aerobic exercise on clinical and magnetic resonance imaging biomarkers in persons with multiple sclerosis: An exploratory randomized controlled trial. J Rehabil Med 2021; 53:jrm00178. [PMID: 33739437 PMCID: PMC8814886 DOI: 10.2340/16501977-2814] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/16/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND There is insufficient knowledge about how aerobic exercise impacts the disease process of multiple sclerosis, which is characterized by accumulation of white matter lesions and accelerated brain atrophy. OBJECTIVE To examine the effect of aerobic exercise on neuroinflammation and neurodegeneration by magnetic resonance imaging and clinical measures of disease activity and progression in persons with multiple sclerosis. PATIENTS AND METHODS An exploratory 12-week randomized control trial including an intervention group (n = 14, 12 weeks of aerobic exercise twice weekly) and a control group (n = 14, continuation of usual lifestyle). Primary outcomes were magnetic resonance imaging measures (lesion load, brain structure volume change), while secondary outcomes included disability measures, blood cytokine levels, cognitive tests and patient-reported outcomes. RESULTS The effects of aerobic exercise on whole brain and grey matter atrophy were minor. Surprisingly, the observed effect on volume (atrophy) in selected brain substructures was heterogeneous. Putaminal and posterior cingulate volumes decreased, parahippocampal gyrus volume increased, thalamus and amygdala volume remained the same, and active lesion load and count decreased. However, apart from weak improvements in walking speed and brain-derived neurotrophic factor levels, there was no effect of aerobic exercise on other clinical, cognitive or patient-reported outcomes. CONCLUSION These results suggest that aerobic exercise in persons with multiple sclerosis has a positive effect on the volume of some of the substructures of the brain, possibly indicating a slowing of the neurodegenerative process in these regions, but a negative impact on the volume of some other substructures, with unclear implications. Further research is needed to determine whether the slight decrease in active lesion volume and count implies an anti-inflammatory effect of aerobic exercise, and the exact significance of the heterogeneous results of volumetric assessments.
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Affiliation(s)
- Lina Savšek
- Department of Neurology, General Hospital Celje, Celje, Slovenia. E-mail:
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36
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De Stefano N, Giorgio A, Gentile G, Stromillo ML, Cortese R, Gasperini C, Visconti A, Sormani MP, Battaglini M. Dynamics of pseudo-atrophy in RRMS reveals predominant gray matter compartmentalization. Ann Clin Transl Neurol 2021; 8:623-630. [PMID: 33534940 PMCID: PMC7951094 DOI: 10.1002/acn3.51302] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Revised: 11/19/2020] [Accepted: 12/27/2020] [Indexed: 01/18/2023] Open
Abstract
Objective To assess the dynamics of “pseudo‐atrophy,” the accelerated brain volume loss observed after initiation of anti‐inflammatory therapies, in patients with multiple sclerosis (MS). Methods Monthly magnetic resonance imaging (MRI) data of patients from the IMPROVE clinical study (NCT00441103) comparing relapsing‐remitting MS patients treated with interferon beta‐1a (IFNβ‐1a) for 40 weeks versus those receiving placebo (16 weeks) and then IFNβ‐1a (24 weeks) were used to assess percentage of gray (PGMVC) and white matter (PWMVC) volume changes. Comparisons of PGMVC and PWMVC slopes were performed with a mixed effect linear model. In the IFNβ‐1a‐treated arm, a quadratic term was included in the model to evaluate the plateauing effect over 40 weeks. Results Up to week 16, PGMVC was −0.14% per month in the placebo and −0.27% per month in treated patients (P < 0.001). Over the same period, the decrease in PWMVC was −0.067% per month in the placebo and −0.116% per month in treated patients (P = 0.27). Similar changes were found in the group originally randomized to placebo when starting IFNβ‐1a treatment (week 16–40, reliability analysis). In the originally treated group, over 40 weeks, the decrease in PGMVC showed a significant (P < 0.001) quadratic component, indicating a plateauing at week 20. Interpretation Findings reported here add new insights into the complex mechanisms of pseudo‐atrophy and its relation to the compartmentalized inflammation occurring in the GM of MS patients. Ongoing and forthcoming clinical trials including MRI‐derived GM volume loss as an outcome measure need to account for potentially significant GM volume changes as part of the initial treatment effect.
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Affiliation(s)
- Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Antonio Giorgio
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Giordano Gentile
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | | | - Rosa Cortese
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | | | | | - Maria Pia Sormani
- Biostatistics Unit, Department of Health Sciences, University of Genoa, Genoa, Italy
| | - Marco Battaglini
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
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Mariottini A, De Matteis E, Muraro PA. Haematopoietic Stem Cell Transplantation for Multiple Sclerosis: Current Status. BioDrugs 2021; 34:307-325. [PMID: 32166703 DOI: 10.1007/s40259-020-00414-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Autologous haematopoietic stem cell transplantation (AHSCT) is a treatment option for aggressive forms of multiple sclerosis (MS) that has been derived from haematological indications and repurposed for treatment of refractory autoimmune diseases. In the present review, a search for clinical studies on AHSCT was performed on the PubMed website and ClinicalTrials.gov databases. Papers were selected according to the following criteria: text written in English language, publication date between 2014 and August 2019, and reports including more than five patients. Prospective randomised and uncontrolled trials and retrospective case series were reviewed to examine the safety and efficacy of the procedure. Treatment protocols, pathological data and economic aspects of AHSCT were also succinctly covered. Growing evidence suggests that long-term suppression of inflammatory activity with stabilization or improvement of disability can be achieved in a high proportion of properly selected patients. More sophisticated outcome measures recently adopted, including effect on brain atrophy and disease biomarkers, are giving further insight into the effectiveness of transplant. The risks of the procedure have decreased to levels that can be considered acceptable for treatment of individuals with aggressive forms of MS. Careful selection of patients with an expected good benefit/risk profile, which is maximal when AHSCT is performed in early phases of the disease, and the expertise of transplant centres are critical to the success of treatment. Higher efficacy of AHSCT than with conventional treatments has recently been demonstrated by one randomised trial and further evidence is awaited from ongoing and planned trials comparing AHSCT with the most effective disease-modifying therapeutic agents.
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Affiliation(s)
- Alice Mariottini
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, Burlington Danes Building, Du Cane Road, Hammersmith Hospital Campus, London, W12 0NN, UK.,Department of Neurosciences, Drug and Child Health, University of Florence, Florence, Italy
| | - Eleonora De Matteis
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, Burlington Danes Building, Du Cane Road, Hammersmith Hospital Campus, London, W12 0NN, UK.,Department of Neurosciences, Mental Health and Sensory Organs, Faculty of Medicine and Psychology, Centre for Experimental Neurological Therapies, Sapienza University, Rome, Italy
| | - Paolo A Muraro
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, Burlington Danes Building, Du Cane Road, Hammersmith Hospital Campus, London, W12 0NN, UK.
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Smets I, Goris A, Vandebergh M, Demeestere J, Sunaert S, Dupont P, Dubois B. Quantitative MRI phenotypes capture biological heterogeneity in multiple sclerosis patients. Sci Rep 2021; 11:1573. [PMID: 33452402 PMCID: PMC7811013 DOI: 10.1038/s41598-021-81035-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 12/23/2020] [Indexed: 01/29/2023] Open
Abstract
Magnetization transfer ratio (MTR) and brain volumetric imaging are (semi-)quantitative MRI markers capturing demyelination, axonal degeneration and/or inflammation. However, factors shaping variation in these traits are largely unknown. In this study, we collected a longitudinal cohort of 33 multiple sclerosis (MS) patients and extended it cross-sectionally to 213. We measured MTR in lesions, normal-appearing white matter (NAWM), normal-appearing grey matter (NAGM) and total brain, grey matter, white matter and lesion volume. We also calculated the polygenic MS risk score. Longitudinally, inter-patient differences at inclusion and intra-patient changes during follow-up together explained > 70% of variance in MRI, with inter-patient differences at inclusion being the predominant source of variance. Cross-sectionally, we observed a moderate correlation of MTR between NAGM and NAWM and, less pronounced, with lesions. Age and gender explained about 30% of variance in total brain and grey matter volume. However, they contributed less than 10% to variance in MTR measures. There were no significant associations between MRI traits and the genetic risk score. In conclusion, (semi-)quantitative MRI traits change with ongoing disease activity but this change is modest in comparison to pre-existing inter-patient differences. These traits reflect individual variation in biological processes, which appear different from those involved in genetic MS susceptibility.
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Affiliation(s)
- Ide Smets
- Laboratory for Neuroimmunology, Department of Neurosciences, KU Leuven, Herestraat 49, Box 1022, 3000, Leuven, Belgium
- Leuven Brain Institute KU Leuven, Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, 3000, Leuven, Belgium
| | - An Goris
- Laboratory for Neuroimmunology, Department of Neurosciences, KU Leuven, Herestraat 49, Box 1022, 3000, Leuven, Belgium.
- Leuven Brain Institute KU Leuven, Leuven, Belgium.
| | - Marijne Vandebergh
- Laboratory for Neuroimmunology, Department of Neurosciences, KU Leuven, Herestraat 49, Box 1022, 3000, Leuven, Belgium
- Leuven Brain Institute KU Leuven, Leuven, Belgium
| | - Jelle Demeestere
- Department of Neurology, University Hospitals Leuven, 3000, Leuven, Belgium
| | - Stefan Sunaert
- Leuven Brain Institute KU Leuven, Leuven, Belgium
- Department of Imaging and Pathology, Translational MRI, KU Leuven, 3000, Leuven, Belgium
| | - Patrick Dupont
- Leuven Brain Institute KU Leuven, Leuven, Belgium
- Department of Neurosciences, Laboratory for Cognitive Neurology, KU Leuven, 3000, Leuven, Belgium
| | - Bénédicte Dubois
- Laboratory for Neuroimmunology, Department of Neurosciences, KU Leuven, Herestraat 49, Box 1022, 3000, Leuven, Belgium
- Leuven Brain Institute KU Leuven, Leuven, Belgium
- Department of Neurology, University Hospitals Leuven, 3000, Leuven, Belgium
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Riemenschneider M, Hvid LG, Ringgaard S, Nygaard MKE, Eskildsen SF, Petersen T, Stenager E, Dalgas U. Study protocol: randomised controlled trial evaluating exercise therapy as a supplemental treatment strategy in early multiple sclerosis: the Early Multiple Sclerosis Exercise Study (EMSES). BMJ Open 2021; 11:e043699. [PMID: 33436475 PMCID: PMC7805354 DOI: 10.1136/bmjopen-2020-043699] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
INTRODUCTION In the relapsing remitting type of multiple sclerosis (MS) reducing relapses and neurodegeneration is crucial in halting the long-term impact of the disease. Medical disease-modifying treatments have proven effective, especially when introduced early in the disease course. However, patients still experience disease activity and disability progression, and therefore, supplemental early treatment strategies are warranted. Exercise appear to be one of the most promising supplemental treatment strategies, but a somewhat overlooked 'window of opportunity' exist early in the disease course. The objective of this study is to investigate exercise as a supplementary treatment strategy early in the disease course of MS. METHODS AND ANALYSIS The presented Early Multiple Sclerosis Exercise Study is a 48-week (plus 1-year follow-up) national multicentre single-blinded parallel group randomised controlled trial comparing two groups receiving usual care plus supervised high-intense exercise or plus health education (active control). Additionally, data will be compared with a population-based control group receiving usual care only obtained from the Danish MS Registry. The primary outcomes are annual relapse rate and MRI derived global brain atrophy. The secondary outcomes are disability progression, physical and cognitive function, MS-related symptoms, and exploratory MRI outcomes. All analyses will be performed as intention to treat. ETHICS AND DISSEMINATION The study is approved by The Central Denmark Region Committees on Health Research Ethics (1-10-72-388-17) and registered at the Danish Data Protection Agency (2016-051-000001 (706)). All study findings will be published in scientific peer-reviewed journals and presented at relevant scientific conferences. TRIAL REGISTRATION NUMBER NCT03322761.
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Affiliation(s)
| | - Lars G Hvid
- Exercise Biology, Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Steffen Ringgaard
- The MR Research Centre, Aarhus University Hospital, Aarhus N, Denmark
| | - Mikkel K E Nygaard
- Center of Functionnally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Simon F Eskildsen
- Center of Functionnally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Thor Petersen
- The Multiple Sclerosis Clinic, Department of Neurology, Aarhus University Hospital, Aarhus, Denmark
| | - Egon Stenager
- Institute of Regional Health Research, University of Southern Denmark, Odense, Denmark
- Department of Neurology, MS-Clinic of Southern Jutland (Sønderborg, Esbjerg, Kolding), Sønderborg, Denmark
| | - Ulrik Dalgas
- Exercise Biology, Department of Public Health, Aarhus University, Aarhus, Denmark
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Cohan SL, Hendin BA, Reder AT, Smoot K, Avila R, Mendoza JP, Weinstock-Guttman B. Interferons and Multiple Sclerosis: Lessons from 25 Years of Clinical and Real-World Experience with Intramuscular Interferon Beta-1a (Avonex). CNS Drugs 2021; 35:743-767. [PMID: 34228301 PMCID: PMC8258741 DOI: 10.1007/s40263-021-00822-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/28/2021] [Indexed: 12/15/2022]
Abstract
Recombinant interferon (IFN) β-1b was approved by the US Food and Drug Administration as the first disease-modifying therapy (DMT) for multiple sclerosis (MS) in 1993. Since that time, clinical trials and real-world observational studies have demonstrated the effectiveness of IFN therapies. The pivotal intramuscular IFN β-1a phase III trial published in 1996 was the first to demonstrate that a DMT could reduce accumulation of sustained disability in MS. Patient adherence to treatment is higher with intramuscular IFN β-1a, given once weekly, than with subcutaneous formulations requiring multiple injections per week. Moreover, subcutaneous IFN β-1a is associated with an increased incidence of injection-site reactions and neutralizing antibodies compared with intramuscular administration. In recent years, revisions to MS diagnostic criteria have improved clinicians' ability to identify patients with MS and have promoted the use of magnetic resonance imaging (MRI) for diagnosis and disease monitoring. MRI studies show that treatment with IFN β-1a, relative to placebo, reduces T2 and gadolinium-enhancing lesions and gray matter atrophy. Since the approval of intramuscular IFN β-1a, a number of high-efficacy therapies have been approved for MS, though the benefit of these high-efficacy therapies should be balanced against the increased risk of serious adverse events associated with their long-term use. For some subpopulations of patients, including pregnant women, the safety profile of IFN β formulations may provide a particular benefit. In addition, the antiviral properties of IFNs may indicate potential therapeutic opportunities for IFN β in reducing the risk of viral infections such as COVID-19.
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Affiliation(s)
- Stanley L. Cohan
- Providence Multiple Sclerosis Center, Providence Brain and Spine Institute, Portland, OR USA
| | | | | | - Kyle Smoot
- Providence Multiple Sclerosis Center, Providence Brain and Spine Institute, Portland, OR USA
| | | | | | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, State University of New York, 1010 Main St., 2nd floor, Buffalo, NY, 14202, USA.
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41
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Langeskov-Christensen M, Grøndahl Hvid L, Nygaard MKE, Ringgaard S, Jensen HB, Nielsen HH, Petersen T, Stenager E, Eskildsen SF, Dalgas U. Efficacy of High-Intensity Aerobic Exercise on Brain MRI Measures in Multiple Sclerosis. Neurology 2020; 96:e203-e213. [PMID: 33262230 DOI: 10.1212/wnl.0000000000011241] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 08/11/2020] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To determine whether 24 weeks of high-intensity progressive aerobic exercise (PAE) affects brain MRI measures in people with multiple sclerosis (MS). METHODS We conducted a randomized, controlled, phase 2 trial (with a crossover follow-up) including an exercise group (supervised PAE followed by self-guided physical activity) and a waitlist group (habitual lifestyle followed by supervised PAE). Mildly to severely impaired patients with MS aged 18-65 years were randomized (1:1). The primary outcome was percentage brain volume change (PBVC) after 24 weeks, analyzed using the intention-to-treat principle. RESULTS Eighty-six participants were recruited. PBVC did not change over the intervention period (mean between-group change +0.12%, 95% confidence interval [CI] -0.27 to 0.51, p = 0.55). In contrast, cardiorespiratory fitness (+3.5 mL O2/min/kg, 2.0 to 5.1, p < 0.01) and annualized relapse rate (0.00, 0.00-0.07 vs +0.45, 0.28 to 0.61, p < 0.01) improved in the exercise group. CONCLUSION These findings do not support a neuroprotective effect of PAE in terms of total brain atrophy in people with MS and it did not lead to a statistically significant difference in gray matter parenchymal fraction. PAE led to improvements in cardiorespiratory fitness and a lower relapse rate. While these exploratory findings cautiously support PAE as a potential adjunct disease-modifying treatment in MS, further investigations are warranted. CLINICALTRIALSGOV IDENTIFIER NCT02661555. CLASSIFICATION OF EVIDENCE This study provides Level I evidence that 24 weeks of high-intensity PAE did not elicit disease-modifying effects in PBVC in people with MS. Exploratory analyses showed that PAE may reduce relapse rate.
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Affiliation(s)
- Martin Langeskov-Christensen
- From the Section for Sport Science, Department of Public Health (M.L.-C., L.G.H., U.D.), and Center of Functionally Integrative Neuroscience, Department of Clinical Medicine (M.K.E.N., S.F.E.), Aarhus University; MR Research Centre (S.R.) and Multiple Sclerosis Clinic, Department of Neurology (T.P.), Aarhus University Hospital; Brain and Nerve Diseases, Department of Neurology (H.B.J.), Lillebaelt Hospital, Kolding; Department of Regional Health Research (H.B.J.), Department of Neurobiology Research, Institute of Molecular Medicine (H.H.N.), BRIDGE-Brain Research-Inter-Disciplinary Guided Excellence, Department of Clinical Research (H.H.N.), and Department of Regional Health Research (E.S.), University of Southern Denmark, Odense; Department of Neurology (H.H.N.), Odense University Hospital; and MS-Clinic of Southern Jutland (Sønderborg, Kolding, Esbjerg), Department of Neurology (E.S.), Hospital of Southern Denmark, Sønderborg.
| | - Lars Grøndahl Hvid
- From the Section for Sport Science, Department of Public Health (M.L.-C., L.G.H., U.D.), and Center of Functionally Integrative Neuroscience, Department of Clinical Medicine (M.K.E.N., S.F.E.), Aarhus University; MR Research Centre (S.R.) and Multiple Sclerosis Clinic, Department of Neurology (T.P.), Aarhus University Hospital; Brain and Nerve Diseases, Department of Neurology (H.B.J.), Lillebaelt Hospital, Kolding; Department of Regional Health Research (H.B.J.), Department of Neurobiology Research, Institute of Molecular Medicine (H.H.N.), BRIDGE-Brain Research-Inter-Disciplinary Guided Excellence, Department of Clinical Research (H.H.N.), and Department of Regional Health Research (E.S.), University of Southern Denmark, Odense; Department of Neurology (H.H.N.), Odense University Hospital; and MS-Clinic of Southern Jutland (Sønderborg, Kolding, Esbjerg), Department of Neurology (E.S.), Hospital of Southern Denmark, Sønderborg
| | - Mikkel Karl Emil Nygaard
- From the Section for Sport Science, Department of Public Health (M.L.-C., L.G.H., U.D.), and Center of Functionally Integrative Neuroscience, Department of Clinical Medicine (M.K.E.N., S.F.E.), Aarhus University; MR Research Centre (S.R.) and Multiple Sclerosis Clinic, Department of Neurology (T.P.), Aarhus University Hospital; Brain and Nerve Diseases, Department of Neurology (H.B.J.), Lillebaelt Hospital, Kolding; Department of Regional Health Research (H.B.J.), Department of Neurobiology Research, Institute of Molecular Medicine (H.H.N.), BRIDGE-Brain Research-Inter-Disciplinary Guided Excellence, Department of Clinical Research (H.H.N.), and Department of Regional Health Research (E.S.), University of Southern Denmark, Odense; Department of Neurology (H.H.N.), Odense University Hospital; and MS-Clinic of Southern Jutland (Sønderborg, Kolding, Esbjerg), Department of Neurology (E.S.), Hospital of Southern Denmark, Sønderborg
| | - Steffen Ringgaard
- From the Section for Sport Science, Department of Public Health (M.L.-C., L.G.H., U.D.), and Center of Functionally Integrative Neuroscience, Department of Clinical Medicine (M.K.E.N., S.F.E.), Aarhus University; MR Research Centre (S.R.) and Multiple Sclerosis Clinic, Department of Neurology (T.P.), Aarhus University Hospital; Brain and Nerve Diseases, Department of Neurology (H.B.J.), Lillebaelt Hospital, Kolding; Department of Regional Health Research (H.B.J.), Department of Neurobiology Research, Institute of Molecular Medicine (H.H.N.), BRIDGE-Brain Research-Inter-Disciplinary Guided Excellence, Department of Clinical Research (H.H.N.), and Department of Regional Health Research (E.S.), University of Southern Denmark, Odense; Department of Neurology (H.H.N.), Odense University Hospital; and MS-Clinic of Southern Jutland (Sønderborg, Kolding, Esbjerg), Department of Neurology (E.S.), Hospital of Southern Denmark, Sønderborg
| | - Henrik Boye Jensen
- From the Section for Sport Science, Department of Public Health (M.L.-C., L.G.H., U.D.), and Center of Functionally Integrative Neuroscience, Department of Clinical Medicine (M.K.E.N., S.F.E.), Aarhus University; MR Research Centre (S.R.) and Multiple Sclerosis Clinic, Department of Neurology (T.P.), Aarhus University Hospital; Brain and Nerve Diseases, Department of Neurology (H.B.J.), Lillebaelt Hospital, Kolding; Department of Regional Health Research (H.B.J.), Department of Neurobiology Research, Institute of Molecular Medicine (H.H.N.), BRIDGE-Brain Research-Inter-Disciplinary Guided Excellence, Department of Clinical Research (H.H.N.), and Department of Regional Health Research (E.S.), University of Southern Denmark, Odense; Department of Neurology (H.H.N.), Odense University Hospital; and MS-Clinic of Southern Jutland (Sønderborg, Kolding, Esbjerg), Department of Neurology (E.S.), Hospital of Southern Denmark, Sønderborg
| | - Helle Hvilsted Nielsen
- From the Section for Sport Science, Department of Public Health (M.L.-C., L.G.H., U.D.), and Center of Functionally Integrative Neuroscience, Department of Clinical Medicine (M.K.E.N., S.F.E.), Aarhus University; MR Research Centre (S.R.) and Multiple Sclerosis Clinic, Department of Neurology (T.P.), Aarhus University Hospital; Brain and Nerve Diseases, Department of Neurology (H.B.J.), Lillebaelt Hospital, Kolding; Department of Regional Health Research (H.B.J.), Department of Neurobiology Research, Institute of Molecular Medicine (H.H.N.), BRIDGE-Brain Research-Inter-Disciplinary Guided Excellence, Department of Clinical Research (H.H.N.), and Department of Regional Health Research (E.S.), University of Southern Denmark, Odense; Department of Neurology (H.H.N.), Odense University Hospital; and MS-Clinic of Southern Jutland (Sønderborg, Kolding, Esbjerg), Department of Neurology (E.S.), Hospital of Southern Denmark, Sønderborg
| | - Thor Petersen
- From the Section for Sport Science, Department of Public Health (M.L.-C., L.G.H., U.D.), and Center of Functionally Integrative Neuroscience, Department of Clinical Medicine (M.K.E.N., S.F.E.), Aarhus University; MR Research Centre (S.R.) and Multiple Sclerosis Clinic, Department of Neurology (T.P.), Aarhus University Hospital; Brain and Nerve Diseases, Department of Neurology (H.B.J.), Lillebaelt Hospital, Kolding; Department of Regional Health Research (H.B.J.), Department of Neurobiology Research, Institute of Molecular Medicine (H.H.N.), BRIDGE-Brain Research-Inter-Disciplinary Guided Excellence, Department of Clinical Research (H.H.N.), and Department of Regional Health Research (E.S.), University of Southern Denmark, Odense; Department of Neurology (H.H.N.), Odense University Hospital; and MS-Clinic of Southern Jutland (Sønderborg, Kolding, Esbjerg), Department of Neurology (E.S.), Hospital of Southern Denmark, Sønderborg
| | - Egon Stenager
- From the Section for Sport Science, Department of Public Health (M.L.-C., L.G.H., U.D.), and Center of Functionally Integrative Neuroscience, Department of Clinical Medicine (M.K.E.N., S.F.E.), Aarhus University; MR Research Centre (S.R.) and Multiple Sclerosis Clinic, Department of Neurology (T.P.), Aarhus University Hospital; Brain and Nerve Diseases, Department of Neurology (H.B.J.), Lillebaelt Hospital, Kolding; Department of Regional Health Research (H.B.J.), Department of Neurobiology Research, Institute of Molecular Medicine (H.H.N.), BRIDGE-Brain Research-Inter-Disciplinary Guided Excellence, Department of Clinical Research (H.H.N.), and Department of Regional Health Research (E.S.), University of Southern Denmark, Odense; Department of Neurology (H.H.N.), Odense University Hospital; and MS-Clinic of Southern Jutland (Sønderborg, Kolding, Esbjerg), Department of Neurology (E.S.), Hospital of Southern Denmark, Sønderborg
| | - Simon Fristed Eskildsen
- From the Section for Sport Science, Department of Public Health (M.L.-C., L.G.H., U.D.), and Center of Functionally Integrative Neuroscience, Department of Clinical Medicine (M.K.E.N., S.F.E.), Aarhus University; MR Research Centre (S.R.) and Multiple Sclerosis Clinic, Department of Neurology (T.P.), Aarhus University Hospital; Brain and Nerve Diseases, Department of Neurology (H.B.J.), Lillebaelt Hospital, Kolding; Department of Regional Health Research (H.B.J.), Department of Neurobiology Research, Institute of Molecular Medicine (H.H.N.), BRIDGE-Brain Research-Inter-Disciplinary Guided Excellence, Department of Clinical Research (H.H.N.), and Department of Regional Health Research (E.S.), University of Southern Denmark, Odense; Department of Neurology (H.H.N.), Odense University Hospital; and MS-Clinic of Southern Jutland (Sønderborg, Kolding, Esbjerg), Department of Neurology (E.S.), Hospital of Southern Denmark, Sønderborg
| | - Ulrik Dalgas
- From the Section for Sport Science, Department of Public Health (M.L.-C., L.G.H., U.D.), and Center of Functionally Integrative Neuroscience, Department of Clinical Medicine (M.K.E.N., S.F.E.), Aarhus University; MR Research Centre (S.R.) and Multiple Sclerosis Clinic, Department of Neurology (T.P.), Aarhus University Hospital; Brain and Nerve Diseases, Department of Neurology (H.B.J.), Lillebaelt Hospital, Kolding; Department of Regional Health Research (H.B.J.), Department of Neurobiology Research, Institute of Molecular Medicine (H.H.N.), BRIDGE-Brain Research-Inter-Disciplinary Guided Excellence, Department of Clinical Research (H.H.N.), and Department of Regional Health Research (E.S.), University of Southern Denmark, Odense; Department of Neurology (H.H.N.), Odense University Hospital; and MS-Clinic of Southern Jutland (Sønderborg, Kolding, Esbjerg), Department of Neurology (E.S.), Hospital of Southern Denmark, Sønderborg
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Pérez-Miralles FC, Río J, Pareto D, Vidal-Jordana À, Auger C, Arrambide G, Castilló J, Tintoré M, Rovira À, Montalban X, Sastre-Garriga J. Adding brain volume measures into response criteria in multiple sclerosis: the Río-4 score. Neuroradiology 2020; 63:1031-1041. [PMID: 33237430 DOI: 10.1007/s00234-020-02604-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 11/10/2020] [Indexed: 10/22/2022]
Abstract
PURPOSE Brain volume changes (BVC) on therapy in MS are being considered as predictor for treatment response at an individual level. We ought to assess whether adding BVC as a factor to monitor interferon-beta response improves the predictive ability of the (no) evidence of disease activity (EDA-3) and Río score (RS-3) criteria for confirmed disability progression in a historical cohort. METHODS One hundred one patients from an observational cohort treated with interferon-beta were assessed for different cutoff points of BVC (ranged 0.2-1.2%), presence of active lesions (≥ 1 for EDA/≥ 3 for RS), relapses, and 6-month confirmed disability progression (CDP), measured by the Expanded Disability Status Scale, after 1 year. Sensitivity, specificity, and positive and negative predictive values for predicting confirmed disability progression at 4 years in original EDA (EDA-3) and RS (RS-3) as well as EDA and RS including BVC (EDA-4 and RS-4) were compared. RESULTS Adding BVC to EDA slightly increased sensitivity, but not specificity or predictive values, nor the OR for predicting CDP; only EDA-3 showed a trend for predicting CDP (OR 3.701, p = 0.050). Adding BVC to RS-3 (defined as ≥ 2 criteria) helped to improve sensitivity and negative predictive value, and increased OR for predicting CDP using a cutoff of ≤ - 0.86% (RS-3 OR 23.528, p < 0.001; RS-4 for all cutoffs ranged from 15.06 to 32, p < 0.001). RS-4 showed areas under the curve larger than RS-3 for prediction of disability at 4 years. CONCLUSION Addition of BVC to RS improves its prediction of response to interferon-beta.
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Affiliation(s)
- Francisco Carlos Pérez-Miralles
- Servei de Neurologia/Neuroimmunologia, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, P. Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Jordi Río
- Servei de Neurologia/Neuroimmunologia, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, P. Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Deborah Pareto
- Unitat de Ressonància Magnètica (Servei de Radiologia), Hospital universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Àngela Vidal-Jordana
- Servei de Neurologia/Neuroimmunologia, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, P. Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Cristina Auger
- Unitat de Ressonància Magnètica (Servei de Radiologia), Hospital universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Georgina Arrambide
- Servei de Neurologia/Neuroimmunologia, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, P. Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Joaquín Castilló
- Servei de Neurologia/Neuroimmunologia, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, P. Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Mar Tintoré
- Servei de Neurologia/Neuroimmunologia, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, P. Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Àlex Rovira
- Unitat de Ressonància Magnètica (Servei de Radiologia), Hospital universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Xavier Montalban
- Servei de Neurologia/Neuroimmunologia, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, P. Vall d'Hebron 119-129, 08035, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Servei de Neurologia/Neuroimmunologia, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, P. Vall d'Hebron 119-129, 08035, Barcelona, Spain.
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43
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Millward JM, Ramos Delgado P, Smorodchenko A, Boehmert L, Periquito J, Reimann HM, Prinz C, Els A, Scheel M, Bellmann-Strobl J, Waiczies H, Wuerfel J, Infante-Duarte C, Chien C, Kuchling J, Pohlmann A, Zipp F, Paul F, Niendorf T, Waiczies S. Transient enlargement of brain ventricles during relapsing-remitting multiple sclerosis and experimental autoimmune encephalomyelitis. JCI Insight 2020; 5:140040. [PMID: 33148886 PMCID: PMC7710287 DOI: 10.1172/jci.insight.140040] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 09/24/2020] [Indexed: 12/18/2022] Open
Abstract
The brain ventricles are part of the fluid compartments bridging the CNS with the periphery. Using MRI, we previously observed a pronounced increase in ventricle volume (VV) in the experimental autoimmune encephalomyelitis (EAE) model of multiple sclerosis (MS). Here, we examined VV changes in EAE and MS patients in longitudinal studies with frequent serial MRI scans. EAE mice underwent serial MRI for up to 2 months, with gadolinium contrast as a proxy of inflammation, confirmed by histopathology. We performed a time-series analysis of clinical and MRI data from a prior clinical trial in which RRMS patients underwent monthly MRI scans over 1 year. VV increased dramatically during preonset EAE, resolving upon clinical remission. VV changes coincided with blood-brain barrier disruption and inflammation. VV was normal at the termination of the experiment, when mice were still symptomatic. The majority of relapsing-remitting MS (RRMS) patients showed dynamic VV fluctuations. Patients with contracting VV had lower disease severity and a shorter duration. These changes demonstrate that VV does not necessarily expand irreversibly in MS but, over short time scales, can expand and contract. Frequent monitoring of VV in patients will be essential to disentangle the disease-related processes driving short-term VV oscillations from persistent expansion resulting from atrophy. Brain ventricle volumes expand and contract during experimental autoimmune encephalomyelitis and relapsing-remitting multiple sclerosis, suggesting that short-term inflammatory processes are interlaced with gradual brain atrophy.
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Affiliation(s)
- Jason M Millward
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.,Institute for Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Paula Ramos Delgado
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Alina Smorodchenko
- Medical School Hamburg, University of Applied Sciences and Medical University, Hamburg, Germany
| | - Laura Boehmert
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Joao Periquito
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Henning M Reimann
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Christian Prinz
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Antje Els
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Michael Scheel
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Judith Bellmann-Strobl
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Experimental and Clinical Research Center, a joint venture of the Max Delbrück Center for Molecular Medicine and the Charité - Universitätsmedizin Berlin, Berlin, Germany
| | | | - Jens Wuerfel
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Carmen Infante-Duarte
- Institute for Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Claudia Chien
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Joseph Kuchling
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Andreas Pohlmann
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Frauke Zipp
- Department of Neurology, University Medical Center of the Johannes Gutenberg, University of Mainz, Mainz, Germany
| | - Friedemann Paul
- NeuroCure Clinical Research Center, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Experimental and Clinical Research Center, a joint venture of the Max Delbrück Center for Molecular Medicine and the Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Thoralf Niendorf
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.,Experimental and Clinical Research Center, a joint venture of the Max Delbrück Center for Molecular Medicine and the Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Sonia Waiczies
- Experimental Ultrahigh Field Magnetic Resonance, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
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Honce JM, Nair KV, Hoyt BD, Seale RA, Sillau S, Engebretson E, Schurr B, Corboy JR, Vollmer TL, Alvarez E. Brain Atrophy Rates for Stable Multiple Sclerosis Patients on Long-Term Fingolimod versus Glatiramer Acetate. Front Neurol 2020; 11:1045. [PMID: 33071934 PMCID: PMC7538802 DOI: 10.3389/fneur.2020.01045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 08/10/2020] [Indexed: 12/31/2022] Open
Abstract
Background: Clinically stable multiple sclerosis (MS) patients on long-term therapy often have negligible acute inflammation on MRI. Brain atrophy may provide insight into subclinical disease progression in such populations. Objective: This study aims to compare brain atrophy for age- and gender-matched MS patients treated for >2 years with fingolimod (FTY) or glatiramer acetate (GA), examining brain volume, cognition, and patient-reported outcomes (PROs). Methods: Stable relapsing-MS patients, age 18-60, on FTY or GA for >2 years were followed up for 2 years. MRI brain and lesion volumes, cognitive measures, and PROs were collected at baseline and annually. Results: Forty-four FTY and forty-three GA patients completed baseline and year 2 visits. No differences in age, gender, or education were observed. Median EDSS was 2.0GA and 2.5FTY (p = 0.22). Treatment duration was longer for GA, 6.50GA vs. 3.73FTY years (p < 0.001). Baseline geometric mean T2LV were different, GA = 1,009.29 cm3 vs. FTY = 2,404.67 cm3 (p = 0.0071). Baseline brain volumes were similar, GA = 1,508 cm3 vs. FTY = 1,489 cm3 (p = 0.2381). Annualized atrophy rates, adjusted for baseline and at mean baseline value, were GA = -0.2775% vs. FTY = -0.2967% (p = 0.7979). No differences in cognitive measures or PROs were observed. Conclusions: Stable MS patients on long-term treatment with FTY and GA have similar brain volume loss rates. Differences in baseline disease severity may suggest patients with more aggressive disease treated with FTY may achieve similar brain volume loss rates as patients with milder baseline disease on GA.
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Affiliation(s)
- Justin M Honce
- Department of Radiology, University of Colorado Hospital, Aurora, CO, United States
| | - Kavita V Nair
- Department of Clinical Pharmacy, University of Colorado, Aurora, CO, United States.,Department of Neurology, University of Colorado and Rocky Mountain Multiple Sclerosis Center at the University of Colorado, Aurora, CO, United States
| | - Brian D Hoyt
- Department of Neurology, University of Colorado and Rocky Mountain Multiple Sclerosis Center at the University of Colorado, Aurora, CO, United States.,Department of Neurosurgery, University of Colorado, Aurora, CO, United States
| | - Rebecca A Seale
- Department of Neurology, University of Colorado and Rocky Mountain Multiple Sclerosis Center at the University of Colorado, Aurora, CO, United States
| | - Stefan Sillau
- Department of Neurology, University of Colorado and Rocky Mountain Multiple Sclerosis Center at the University of Colorado, Aurora, CO, United States
| | - Eric Engebretson
- Department of Neurology, University of Colorado and Rocky Mountain Multiple Sclerosis Center at the University of Colorado, Aurora, CO, United States
| | - Brittany Schurr
- Department of Neurology, University of Colorado and Rocky Mountain Multiple Sclerosis Center at the University of Colorado, Aurora, CO, United States
| | - John R Corboy
- Department of Neurology, University of Colorado and Rocky Mountain Multiple Sclerosis Center at the University of Colorado, Aurora, CO, United States
| | - Timothy L Vollmer
- Department of Neurology, University of Colorado and Rocky Mountain Multiple Sclerosis Center at the University of Colorado, Aurora, CO, United States
| | - Enrique Alvarez
- Department of Neurology, University of Colorado and Rocky Mountain Multiple Sclerosis Center at the University of Colorado, Aurora, CO, United States
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Fernández O, Izquierdo G, Aguera E, Ramo C, Hernandez M, Silva D, Walker R, Butzkueven H, Wang C, Barnett M. Comparison of first-line and second-line use of fingolimod in relapsing MS: The open-label EARLIMS study. Mult Scler J Exp Transl Clin 2020; 6:2055217320957358. [PMID: 32974041 PMCID: PMC7493256 DOI: 10.1177/2055217320957358] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 07/30/2020] [Accepted: 08/18/2020] [Indexed: 12/03/2022] Open
Abstract
Background Treatment of MS often begins with low-efficacy injectable disease-modifying therapy (iDMT). Objectives To compare the effect of fingolimod 0.5 mg/day on clinical, MRI, patient-reported, and safety outcomes, in treatment-naïve and previously treated (≥1 iDMT) patients with early MS. Methods EARLIMS was a multicentre, open-label, non-randomized, parallel-group phase 3 b/4 study in Australia and Spain. Patients with relapsing–remitting MS, Expanded Disability Status Scale (EDSS) score <4.0, and ≥1–5 years since diagnosis, received daily fingolimod for 48 weeks. The primary endpoint was annualized relapse rate (ARR). Results Of 347 patients enrolled at 51 sites (treatment-naïve, 200 [57.6%]; previously treated, 147 [42.4%]), 320 completed the study (treatment-naïve, 184 [92.0%]; previously treated, 136 [92.5%]), but the study remained underpowered (planned enrolment, n = 432). Fingolimod reduced ARR to similar levels in both treatment-naïve (mean ARR [95% confidence interval], 0.21 [0.14, 0.29]) and previously treated groups (0.30 [0.20, 0.41]; p = 0.1668). There were no new safety signals. Conclusions Fingolimod appeared equally effective as first- or second-line therapy in relapsing MS. There was a trend for better outcomes with fingolimod in treatment-naïve patients than in those previously treated with >1 iDMT.
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Affiliation(s)
- Oscar Fernández
- Department of Neurology, Instituto de Investigación Biomédica de Málaga, Hospital Regional Universitario, Málaga, Spain.,Department of Pharmacology, Faculty of Medicine, University of Malaga, Malaga, Spain
| | - Guillermo Izquierdo
- Unidad de Esclerosis Múltiple, Hospital Universitario Virgen Macarena, Sevilla, Spain
| | - Eduardo Aguera
- Neurología, Hospital Universitario Reina Sofía - IMIBIC, Córdoba, Spain
| | - Cristina Ramo
- Departamento de Neurociencias, Hospital Universitari Germans Trias i Pujol, Badalona, Spain
| | - Miguel Hernandez
- Hospital Universitario Nuestra Señora de Candelaria, Tenerife, Spain
| | | | - Rob Walker
- Novartis Pharmaceuticals Australia, NSW, Australia
| | - Helmut Butzkueven
- MS and Neuroimmunology Unit, Department of Neuroscience, Central Clinical School, Monash University, Melbourne, Australia
| | - Chenyu Wang
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia.,Sydney Neuroimaging Analysis Centre, Camperdown, NSW, Australia
| | - Michael Barnett
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia.,Sydney Neuroimaging Analysis Centre, Camperdown, NSW, Australia
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Hauser SL, Kappos L, Arnold DL, Bar-Or A, Brochet B, Naismith RT, Traboulsee A, Wolinsky JS, Belachew S, Koendgen H, Levesque V, Manfrini M, Model F, Hubeaux S, Mehta L, Montalban X. Five years of ocrelizumab in relapsing multiple sclerosis: OPERA studies open-label extension. Neurology 2020; 95:e1854-e1867. [PMID: 32690791 PMCID: PMC7682822 DOI: 10.1212/wnl.0000000000010376] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2019] [Accepted: 04/10/2020] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVE To assess over 3 years of follow-up the effects of maintaining or switching to ocrelizumab (OCR) therapy on clinical and MRI outcomes and safety measures in the open-label extension (OLE) phase of the pooled OPERA: I/II studies in relapsing multiple sclerosis. METHODS After 2 years of double-blind, controlled treatment, patients continued OCR (600 mg infusions every 24 weeks) or switched from interferon (IFN)-β-1a (44 μg 3 times weekly) to OCR when entering the OLE phase (3 years). Adjusted annualized relapse rate, time to onset of 24-week confirmed disability progression (CDP)/improvement (CDP), brain MRI activity (gadolinium-enhanced and new/enlarging T2 lesions), and percentage brain volume change were analyzed. RESULTS Of patients entering the OLE phase, 88.6% completed year 5. The cumulative proportion with 24-week CDP was lower in patients who initiated OCR earlier vs patients initially receiving IFN-β-1a (16.1% vs 21.3% at year 5; p = 0.014). Patients continuing OCR maintained and those switching from IFN-β-1a to OCR attained near complete and sustained suppression of new brain MRI lesion activity from years 3-5. Over the OLE phase, patients continuing OCR exhibited less whole brain volume loss from double-blind study baseline vs those switching from IFN-β-1a (-1.87% vs -2.15% at year 5; p < 0.01). Adverse events were consistent with past reports and no new safety signals emerged with prolonged treatment. CONCLUSION Compared with patients switching from IFN-β-1a, earlier and continuous OCR treatment up to 5 years provided sustained benefit on clinical and MRI measures of disease progression. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that earlier and continuous treatment with OCR provided sustained benefit on clinical and MRI outcomes of disease activity and progression compared with patients switching from IFN-β-1a. The study is rated Class III because of the initial treatment randomization disclosure that occurred after inclusion in OLE. CLINICAL TRIAL IDENTIFIERS NCT01247324/NCT01412333.
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Affiliation(s)
- Stephen L Hauser
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Ludwig Kappos
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Douglas L Arnold
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Amit Bar-Or
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Bruno Brochet
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Robert T Naismith
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Anthony Traboulsee
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Jerry S Wolinsky
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Shibeshih Belachew
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Harold Koendgen
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA.
| | - Victoria Levesque
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Marianna Manfrini
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Fabian Model
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Stanislas Hubeaux
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Lahar Mehta
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
| | - Xavier Montalban
- From the Department of Neurology (S.L.H.), University of California, San Francisco; Neurologic Clinic and Policlinic (L.K.), Departments of Medicine, Clinical Research, Biomedicine and Biomedical Engineering, University Hospital Basel, University of Basel, Switzerland; NeuroRx Research (D.L.A.); Departments of Neurology and Neurosurgery (D.L.A.), McGill University, Montreal, Canada; Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics (A.B.-O.), University of Pennsylvania, Philadelphia; Department of Neurology (B.B.), CHU de Bordeaux, France; Department of Neurology (R.T.N.), Washington University School of Medicine, St. Louis, MO; Division of Neurology (A.T.), Department of Medicine, University of British Columbia, Vancouver, Canada; Department of Neurology (J.S.W.), McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth); F. Hoffmann-La Roche Ltd (S.B., H.K., M.M., F.M., S.H.), Basel, Switzerland; Genentech, Inc. (V.L., L.M.), South San Francisco, CA; Division of Neurology (X.M.), University of Toronto, Canada; and Department of Neurology-Neuroimmunology (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain. During completion of the work related to this article, S.B. and L.M. were employees of F. Hoffmann-La Roche Ltd; current affiliations are Biogen (S.B.), Cambridge, MA; and Alder Biopharmaceuticals Inc. (L.M.), Bothell, WA
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Papadopoulos D, Magliozzi R, Mitsikostas DD, Gorgoulis VG, Nicholas RS. Aging, Cellular Senescence, and Progressive Multiple Sclerosis. Front Cell Neurosci 2020; 14:178. [PMID: 32694983 PMCID: PMC7338849 DOI: 10.3389/fncel.2020.00178] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 05/22/2020] [Indexed: 12/12/2022] Open
Abstract
Aging is one of the most important risk factors for the development of several neurodegenerative diseases including progressive multiple sclerosis (MS). Cellular senescence (CS) is a key biological process underlying aging. Several stressors associated with aging and MS pathology, such as oxidative stress, mitochondrial dysfunction, cytokines and replicative exhaustion are known triggers of cellular senescence. Senescent cells exhibit stereotypical metabolic and functional changes, which include cell-cycle arrest and acquiring a pro-inflammatory phenotype secreting cytokines, growth factors, metalloproteinases and reactive oxygen species. They accumulate with aging and can convert neighboring cells to senescence in a paracrine manner. In MS, accelerated cellular senescence may drive disease progression by promoting chronic non-remitting inflammation, loss or altered immune, glial and neuronal function, failure of remyelination, impaired blood-brain barrier integrity and ultimately neurodegeneration. Here we discuss the evidence linking cellular senescence to the pathogenesis of MS and the putative role of senolytic and senomorphic agents as neuroprotective therapies in tackling disease progression.
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Affiliation(s)
- Dimitrios Papadopoulos
- Molecular Carcinogenesis Group, Laboratory of Histology and Embryology, School of Health Sciences, National and Kapodistrian University of Athens, Athens, Greece
| | - Roberta Magliozzi
- Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
| | - Dimos D Mitsikostas
- First Department of Neurology, Aeginition Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - Vassilis G Gorgoulis
- Molecular Carcinogenesis Group, Laboratory of Histology and Embryology, School of Health Sciences, National and Kapodistrian University of Athens, Athens, Greece
| | - Richard S Nicholas
- Department of Neuroinflammation and Neurodegeneration, Faculty of Medicine, Imperial College London, London, United Kingdom.,Department of Visual Neuroscience, Faculty of Brain Sciences, Institute of Ophthalmology, University College London, London, United Kingdom
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Kuchling J, Paul F. Visualizing the Central Nervous System: Imaging Tools for Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorders. Front Neurol 2020; 11:450. [PMID: 32625158 PMCID: PMC7311777 DOI: 10.3389/fneur.2020.00450] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 04/28/2020] [Indexed: 12/12/2022] Open
Abstract
Multiple sclerosis (MS) and neuromyelitis optica spectrum disorders (NMOSD) are autoimmune central nervous system conditions with increasing incidence and prevalence. While MS is the most frequent inflammatory CNS disorder in young adults, NMOSD is a rare disease, that is pathogenetically distinct from MS, and accounts for approximately 1% of demyelinating disorders, with the relative proportion within the demyelinating CNS diseases varying widely among different races and regions. Most immunomodulatory drugs used in MS are inefficacious or even harmful in NMOSD, emphasizing the need for a timely and accurate diagnosis and distinction from MS. Despite distinct immunopathology and differences in disease course and severity there might be considerable overlap in clinical and imaging findings, posing a diagnostic challenge for managing neurologists. Differential diagnosis is facilitated by positive serology for AQP4-antibodies (AQP4-ab) in NMOSD, but might be difficult in seronegative cases. Imaging of the brain, optic nerve, retina and spinal cord is of paramount importance when managing patients with autoimmune CNS conditions. Once a diagnosis has been established, imaging techniques are often deployed at regular intervals over the disease course as surrogate measures for disease activity and progression and to surveil treatment effects. While the application of some imaging modalities for monitoring of disease course was established decades ago in MS, the situation is unclear in NMOSD where work on longitudinal imaging findings and their association with clinical disability is scant. Moreover, as long-term disability is mostly attack-related in NMOSD and does not stem from insidious progression as in MS, regular follow-up imaging might not be useful in the absence of clinical events. However, with accumulating evidence for covert tissue alteration in NMOSD and with the advent of approved immunotherapies the role of imaging in the management of NMOSD may be reconsidered. By contrast, MS management still faces the challenge of implementing imaging techniques that are capable of monitoring progressive tissue loss in clinical trials and cohort studies into treatment algorithms for individual patients. This article reviews the current status of imaging research in MS and NMOSD with an emphasis on emerging modalities that have the potential to be implemented in clinical practice.
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Affiliation(s)
- Joseph Kuchling
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Neurology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Neurology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
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49
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Gold R, Radue EW, Giovannoni G, Selmaj K, Havrdova EK, Montalban X, Stefoski D, Sprenger T, Robinson RR, Fam S, Smith J, Chalkias S, Giannattasio G, Lima G, Castro-Borrero W. Long-term safety and efficacy of daclizumab beta in relapsing-remitting multiple sclerosis: 6-year results from the SELECTED open-label extension study. J Neurol 2020; 267:2851-2864. [PMID: 32451615 PMCID: PMC7501126 DOI: 10.1007/s00415-020-09835-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 04/09/2020] [Accepted: 04/09/2020] [Indexed: 12/18/2022]
Abstract
OBJECTIVE SELECTED, an open-label extension study, evaluated daclizumab beta treatment for up to 6 years in participants with relapsing multiple sclerosis who completed the randomized SELECT/SELECTION studies. We report final results of SELECTED. METHODS Eligible participants who completed 1-2 years of daclizumab beta treatment in SELECT/SELECTION received daclizumab beta 150 mg subcutaneously every 4 weeks for up to 6 years in SELECTED. Safety assessments were evaluated for the SELECTED treatment period; efficacy data were evaluated from first dose of daclizumab beta in SELECT/SELECTION. RESULTS Ninety percent (410/455) of participants who completed treatment in SELECTION enrolled in SELECTED. Within SELECTED, 69% of participants received daclizumab beta for > 3 years, 39% for > 4 years, and 9% for > 5 years; 87% of participants experienced an adverse event and 26% a serious adverse event (excluding multiple sclerosis relapse). No deaths occurred. Overall, hepatic events were reported in 25% of participants; serious hepatic events in 2%. There were no confirmed cases of immune-mediated encephalitis. Based on weeks from the first daclizumab beta dose in SELECT/SELECTION, adjusted annualized relapse rate (95% confidence interval) for weeks 0-24 was 0.21 (0.16-0.29) and remained low on continued treatment. Overall incidence of 24-week confirmed disability progression was 17.4%. Mean numbers of new/newly enlarging T2 hyperintense lesions remained low; percentage change in whole brain volume decreased over time. CONCLUSIONS The effects of daclizumab beta on clinical and radiologic outcomes were sustained for up to ~ 8 years of treatment. No new safety concerns were identified in SELECTED. TRIAL REGISTRATION Clinicaltrials.gov NCT01051349; first registered on January 15, 2010.
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Affiliation(s)
- Ralf Gold
- St. Josef-Hospital/Ruhr-University Bochum, 44791, Bochum, Germany.
| | - Ernst-Wilhelm Radue
- Medical Image Analysis Center, University Hospital Basel, Basel, Switzerland
| | - Gavin Giovannoni
- Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Krzysztof Selmaj
- Department of Neurology, University of Warmia and Mazury, Olsztyn, Poland
| | - Eva Kubala Havrdova
- Department of Neurology, First Faculty of Medicine, Charles University, Prague, Czech Republic
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50
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Sastre-Garriga J, Pareto D, Battaglini M, Rocca MA, Ciccarelli O, Enzinger C, Wuerfel J, Sormani MP, Barkhof F, Yousry TA, De Stefano N, Tintoré M, Filippi M, Gasperini C, Kappos L, Río J, Frederiksen J, Palace J, Vrenken H, Montalban X, Rovira À. MAGNIMS consensus recommendations on the use of brain and spinal cord atrophy measures in clinical practice. Nat Rev Neurol 2020; 16:171-182. [PMID: 32094485 PMCID: PMC7054210 DOI: 10.1038/s41582-020-0314-x] [Citation(s) in RCA: 130] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/17/2020] [Indexed: 11/08/2022]
Abstract
Early evaluation of treatment response and prediction of disease evolution are key issues in the management of people with multiple sclerosis (MS). In the past 20 years, MRI has become the most useful paraclinical tool in both situations and is used clinically to assess the inflammatory component of the disease, particularly the presence and evolution of focal lesions - the pathological hallmark of MS. However, diffuse neurodegenerative processes that are at least partly independent of inflammatory mechanisms can develop early in people with MS and are closely related to disability. The effects of these neurodegenerative processes at a macroscopic level can be quantified by estimation of brain and spinal cord atrophy with MRI. MRI measurements of atrophy in MS have also been proposed as a complementary approach to lesion assessment to facilitate the prediction of clinical outcomes and to assess treatment responses. In this Consensus statement, the Magnetic Resonance Imaging in MS (MAGNIMS) study group critically review the application of brain and spinal cord atrophy in clinical practice in the management of MS, considering the role of atrophy measures in prognosis and treatment monitoring and the barriers to clinical use of these measures. On the basis of this review, the group makes consensus statements and recommendations for future research.
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Affiliation(s)
- Jaume Sastre-Garriga
- Multiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
| | - Deborah Pareto
- Section of Neuroradiology and Magnetic Resonance Unit, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Marco Battaglini
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Olga Ciccarelli
- NMR Research Unit, University College London Queen Square Institute of Neurology, London, UK
- National Institute for Health Research Biomedical Research Centre, University College London Hospitals, London, UK
| | - Christian Enzinger
- Department of Neurology and Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Jens Wuerfel
- Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Maria P Sormani
- Biostatistics Unit, Department of Health Sciences, University of Genoa, Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
| | - Frederik Barkhof
- National Institute for Health Research Biomedical Research Centre, University College London Hospitals, London, UK
- Amsterdam Neuroscience, MS Center Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands
- Institutes of Neurology and Healthcare Engineering, University College London, London, UK
| | - Tarek A Yousry
- NMR Research Unit, University College London Queen Square Institute of Neurology, London, UK
- Lysholm Department of Neuroradiology, University College London Hospitals National Hospital for Neurology and Neurosurgery, University College London Institute of Neurology, London, UK
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Mar Tintoré
- Multiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Claudio Gasperini
- Multiple Sclerosis Center, Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital, University of Basel, Basel, Switzerland
| | - Jordi Río
- Multiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jette Frederiksen
- Department of Neurology, Rigshospitalet-Glostrup and University of Copenhagen, Glostrup, Denmark
| | - Jackie Palace
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Hugo Vrenken
- Amsterdam Neuroscience, MS Center Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands
| | - Xavier Montalban
- Multiple Sclerosis Centre of Catalonia (Cemcat), Department of Neurology/Neuroimmunology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
- Division of Neurology, St Michael's Hospital, University of Toronto, Toronto, Canada
| | - Àlex Rovira
- Section of Neuroradiology and Magnetic Resonance Unit, Department of Radiology, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain.
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