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Jakimovski D, Qureshi F, Ramanathan M, Keshavan A, Leyden K, Jalaleddini K, Ghoreyshi A, Dwyer MG, Bergsland N, Marr K, Weinstock-Guttman B, Zivadinov R. Lower arterial cerebral blood flow is associated with worse neuroinflammation and immunomodulation composite proteomic scores. Mult Scler Relat Disord 2024; 87:105687. [PMID: 38776599 DOI: 10.1016/j.msard.2024.105687] [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: 10/16/2023] [Revised: 04/05/2024] [Accepted: 05/13/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Brain hypoperfusion is linked with worse physical, cognitive and MRI outcomes in multiple sclerosis (MS). Understanding the proteomic signatures related to hypoperfusion could provide insights into the pathophysiological mechanism. METHODS 140 people with MS (pwMS; 86 clinically isolated syndrome (CIS)/relapsing-remitting (RRMS) and 54 progressive (PMS)) were included. Cerebral arterial blood flow (CABF) was determined using ultrasound Doppler measurement as the sum of blood flow in the bilateral common carotid arteries and vertebral arteries. Proteomic analysis was performed using the Multiple Sclerosis Disease Activity (MSDA) test assay panel performed on the Olink™ platform. The MSDA test measures the concentrations of 18 proteins that are age and sex-adjusted. It utilizes a stacked classifier logistic regression model to determine 4 disease pathway scores (immunomodulation, neuroinflammation, myelin biology, and neuroaxonal integrity) as well as an overall disease activity score (1 to 10). MRI measures of T2 lesion volume (LV) and whole brain volume (WBV) were derived. RESULTS The pwMS were on average 54 years old and had an average CABF of 951 mL/min. There were no differences in CABF between CIS/RRMS vs. PMS groups. Lower CABF levels were correlated with the overall disease activity score (r = -0.26, p = 0.003) and with the neuroinflammation (r = -0.29, p = 0.001), immunomodulation (r = -0.26, p = 0.003) and neuroaxonal integrity (r = -0.23, p = 0.007) pathway scores. After age and body mass index (BMI)-adjustment, lower CABF remained associated with the neuroinflammatory (r = -0.23, p = 0.011) and immunomodulation (r = -0.20, p = 0.024) pathway scores. The relationship between CABF and the neuroinflammation pathway score remained significant after adjusting for T2-LV and WBV (p = 0.038). Individual analyses identified neurofilament light chain, CCL-20 and TNFSF13B as contributors. When compared to the highest quartile (>1133.5 mL/min), the pwMS in the lowest CABF quartile (<764 mL/min) had greater overall disease activity score (p = 0.003), neuroinflammation (p = 0.001), immunomodulation (p = 0.004) and neuroaxonal integrity pathway scores (p = 0.007). CONCLUSION Lower cerebral arterial perfusion in MS is associated with changes in neuroinflammatory/immunomodulation pathways and their respective proteomic biomarkers. These findings may suggest a relationship between the hypoperfusion and pro-inflammatory MS changes rather than being merely an epiphenomenon subsequent to lower energy demands.
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Affiliation(s)
- Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
| | | | - Murali Ramanathan
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | | | | | | | | | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Karen Marr
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
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2
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Alonso-Magdalena L, Carmona I Codina O, Zia E, Sundström P, Pessah-Rasmussen H. Prevalence and disease disability in immigrants with multiple sclerosis in Malmö, southern Sweden. Clin Neurol Neurosurg 2024; 240:108255. [PMID: 38552363 DOI: 10.1016/j.clineuro.2024.108255] [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: 12/18/2023] [Revised: 03/12/2024] [Accepted: 03/21/2024] [Indexed: 04/29/2024]
Abstract
BACKGROUND Multiple sclerosis (MS) is the most common chronic demyelinating disease of the central nervous system and the major non-traumatic cause of permanent disability in young adults. Several migration studies have been performed over the years suggesting a pattern of higher disease disability in certain ethnic groups. To our knowledge, differences in disease progression in immigrants have not been studied in Sweden before. Thus, the aims of our study were to estimate the prevalence of multiple sclerosis among first-generation immigrants in the City of Malmö and to compare differences in disease severity with the native population. METHODS All persons with multiple sclerosis living in Malmö on prevalence day 31 Dec 2010 were included. Cases were classified according to the country of birth into Scandinavians, Western and non-Western. RESULTS The crude prevalence was 100/100,000 (95% CI, 80-124) among first-generation immigrants, 154/100,000 (95% CI, 137-173) among individuals with Scandinavian background, 123/100,000 (95% CI, 94-162) in the Western group and 76/100,000 (95% CI, 53-108) in the non-Western group. The mean Multiple Sclerosis Severity Score (MSSS) value among Scandinavians was 4.2 (SD 3.5), whereas the figures in the immigrant group were 4.6 (SD 3.3) and 5.2 (SD 3.7) among Westerns respectively non-Westerns, which differences were not statistically significant. When adjusting for gender, age at onset and initial disease course, the mean MSSS difference between the non-Western and the Scandinavian individuals was 1.7 (95% CI 0.18-3.3, p = 0.030). There were no differences on time to diagnosis or the time from diagnosis to treatment initiation between the three groups. CONCLUSIONS We found a lower prevalence among Western and non-Western first-generation immigrants compared to the Scandinavian population and a more severe disease in non-Western immigrants than in Scandinavians.
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Affiliation(s)
- Lucía Alonso-Magdalena
- Department of Neurology, Skåne University Hospital and Department of Clinical Sciences, Lund University, Lund, Sweden.
| | - Olga Carmona I Codina
- Department of Neurology, Fundacio Salut Emporda, Figueres and Department of Clinical Sciences, Faculty of Medicine, Girona University, Spain
| | - Elisabet Zia
- Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Peter Sundström
- Department of Clinical Science, Neurosciences, Umeå University, Umeå, Sweden
| | - Hélène Pessah-Rasmussen
- Department of Rehabilitation medicine, Skåne University Hospital and Department of Clinical Sciences, Lund University, Lund, Sweden
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Stojsavljević A, Jagodić J, Pavlović S, Dinčić E, Kuveljić J, Manojlović D, Živković M. Essential trace element levels in multiple sclerosis: Bridging demographic and clinical gaps, assessing the need for supplementation. J Trace Elem Med Biol 2024; 83:127421. [PMID: 38452433 DOI: 10.1016/j.jtemb.2024.127421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Revised: 02/28/2024] [Accepted: 02/29/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND Multiple sclerosis (MS) is a chronic demyelinating disorder intricately linked to perturbations in trace element levels. While previous studies have explored circulating trace elements in a limited sample, understanding the impact of demographic and clinical variables on the elemental profile within a larger cohort remains elusive. METHODS This study aimed to evaluate essential trace elements (Cr, Mn, Co, Cu, Zn, and Se) in the sera of 215 MS patients compared to a meticulously matched control group of 100 individuals with similar gender and age. Our main objective was to identify potential variations in elemental profiles based on demographic and clinical parameters among MS patients, elucidating the prospective relevance of supplementing specific essential trace elements. RESULTS Data indicated a significant decrease in serum levels of Mn, Co, Zn, and Se, and an increase in Cr in MS patients compared to controls. These trace elements not only discriminated between MS patients and controls but also exhibited distinctive capabilities among demographic subgroups. Gender, smoking habits, and age strata (20-40 years and 41-60 years) revealed discernible variations in elemental profiles between MS patients and their control counterparts. Se demonstrated the singular ability to stratify cases of extreme MS severity, mild relapsing-remitting MS (RRMS) and highly severe secondary progressive MS (SPMS). In contrast, Co significantly differentiated RRMS from primary progressive MS (PPMS), while Cu significantly differentiated SPMS from PPMS. Additionally, Cu showed a negative correlation with MSSS, while Mn and Zn showed a positive correlation with EDSS. CONCLUSION These findings underscore a substantive deficiency in Mn, Co, Zn, and Se in the MS cohort, supporting targeted supplementation with these trace elements. This study provides a comprehensive understanding of the intricate relationship between essential trace elements and MS, paving the way for further research into personalized nutritional interventions for this complex neurological disorder.
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Affiliation(s)
| | - Jovana Jagodić
- University of Belgrade - Faculty of Chemistry, Belgrade, Serbia
| | - Slađan Pavlović
- Institute for Biological Research "Siniša Stanković" - National Institute of the Republic of Serbia, University of Belgrade, Belgrade, Serbia
| | - Evica Dinčić
- Military Medical Academy, Clinic for Neurology, Belgrade, Serbia; University of Defense in Belgrade, Serbia
| | - Jovana Kuveljić
- VINČA Institute of Nuclear Sciences - National Institute of the Republic of Serbia, Laboratory for Radiobiology and Molecular Genetics, University of Belgrade, Belgrade, Serbia
| | | | - Maja Živković
- VINČA Institute of Nuclear Sciences - National Institute of the Republic of Serbia, Laboratory for Radiobiology and Molecular Genetics, University of Belgrade, Belgrade, Serbia
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4
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Jakimovski D, Weinstock-Guttman B, Burnham A, Weinstock Z, Wicks TR, Ramanathan M, Sciortino T, Ostrem M, Suchan C, Dwyer MG, Reilly J, Bergsland N, Schweser F, Kennedy C, Young-Hong D, Eckert SP, Hojnacki D, Benedict RH, Zivadinov R. Dynamic disability measures decrease the clinico-radiological gap in people with severely affected multiple sclerosis. Mult Scler Relat Disord 2024; 87:105630. [PMID: 38678969 DOI: 10.1016/j.msard.2024.105630] [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: 11/30/2023] [Revised: 04/05/2024] [Accepted: 04/13/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND Expanded Disability Status Scale (EDSS) is limited when utilized in highly disabled people with multiple sclerosis (pwMS). OBJETIVE To explore the relationship between disability measures and MRI outcomes in severely-affected pwMS. METHODS PwMS recruited from The Boston Home (TBH), a specialized residential facility for severly-affected pwMS and University at Buffalo (UB) MS Center were assessed using EDSS, MS Severity Scale, age-related MSS, Scripps Neurological Rating Scale (SNRS) and Combinatorial Weight-Adjusted Disability Score (CombiWISE). In all scores except SNRS, higher score indicates greater disability. MRI measures of T1, T2-lesion volume (LV), whole brain, gray matter, medulla oblongata and thalamic volumes (WBV, GMV, MOV, TV) and thalamic dysconnectivity were obtained. RESULTS Greatest disability differences between the TBH and UB pwMS were in SNRS (24.4 vs 71.9, p < 0.001, Cohen's d = 4.05) and CombiWISE (82.3 vs. 38.9, p < 0.001, Cohen's d = 4.02). In combined analysis of all pwMS, worse SNRS scores were correlated with worse MRI pathology in 8 out of 9 outcomes. EDSS only with 3 measures (GMV, MOV and TV). In severely-affected pwMS, SNRS was associated with T1-LV, T2-LV and WBV (not surviving false discovery rate (FDR) correction for multiple comparisons) whereas EDSS did not. CONCLUSION Granular and dynamic disability measures may bridge the clinico-radiologcal gap present in severely affected pwMS.
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Affiliation(s)
- Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | | | - Zachary Weinstock
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Taylor R Wicks
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Tommaso Sciortino
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | | | - Christopher Suchan
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Jessica Reilly
- The Boston Home, Dorchester, MA, USA; Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Ferdinand Schweser
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Cheryl Kennedy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | | | - Svetlana P Eckert
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - David Hojnacki
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Ralph Hb Benedict
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
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5
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Solsona EM, Tektonidis T, Reece JC, Simpson-Yap S, Black LJ, Rad EY, Coe S. Associations between diet and disease progression and symptomatology in multiple sclerosis: A systematic review of observational studies. Mult Scler Relat Disord 2024; 87:105636. [PMID: 38678968 DOI: 10.1016/j.msard.2024.105636] [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: 03/06/2024] [Revised: 04/12/2024] [Accepted: 04/15/2024] [Indexed: 05/01/2024]
Abstract
BACKGROUND Although many people with MS (pwMS) modify their diet after diagnosis, there is still no consensus on dietary recommendations for pwMS. A number of observational studies have explored associations of diet and MS progression, but no studies have systematically reviewed the evidence. This systematic review aimed to provide an objective synthesis of the evidence for associations between diet and MS progression, including symptoms and clinical outcomes from observational studies. METHODS We performed a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Electronic database searches were performed for studies completed up to 26 July 2023 using PubMed (Medline), Web of Science, CINAHL, Embase (Ovid), and Scopus, followed by citation and reference list checking. We included studies using diet quality scores or dietary indices. Studies assessing individual foods, nutrients, or dietary supplements were excluded. We used the Newcastle-Ottawa Scale to assess the risk of bias of included studies. RESULTS Thirty-two studies met the inclusion criteria. Of these, 20 were cross-sectional and 12 prospective. The most frequent outcomes assessed were disability (n = 19), quality of life (n = 12), fatigue (n = 12), depression (n = 9), relapse (n = 8), anxiety (n = 3), and magnetic resonance imaging (MRI) outcomes (n = 4). Based on prospective studies, this review suggests that diet might be associated with quality of life and disability. There were also potential effects of higher diet quality scores on improved fatigue, disability, depression, anxiety, and MRI outcomes but more evidence is needed from prospective studies. CONCLUSIONS Observational studies show some evidence for an association between diet and MS symptoms, particularly quality of life and disability. However, the impact of diet on other MS outcomes remains inconclusive. Ultimately, our findings suggest more evidence is needed from prospective studies and well-designed tailored intervention studies to confirm associations.
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Affiliation(s)
| | | | - Jeanette C Reece
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia
| | - Steve Simpson-Yap
- Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, VIC, Australia
| | - Lucinda J Black
- Institute for Physical Activity and Nutrition (IPAN), School of Exercise and Nutrition Sciences, Deakin University, Geelong, VIC, Australia
| | | | - Shelly Coe
- Oxford Brookes Centre for Nutrition and Health, Oxford, United Kingdom.
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Jamoussi M, Alaya F, Jamoussi H, Baraket G, Achouri A, Mahmoud MB, Fray S, Ben Ali N, Messaoud T, Hannachi Salhi A, Fredj M. Vitamin D receptor gene BsmI (rs1544410) polymorphism: role in multiple sclerosis and genotype-phenotype correlations. Mol Biol Rep 2024; 51:478. [PMID: 38578462 DOI: 10.1007/s11033-024-09369-w] [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: 11/27/2023] [Accepted: 02/20/2024] [Indexed: 04/06/2024]
Abstract
BACKGROUND Multiple sclerosis (MS) has a complex pathophysiology which depends on many endogenous and exogenous factors. Vitamin D involvement has been largely studied in MS. The large distribution of the vitamin D receptor (VDR) in different immune cells is suggestive of an immunomodulatory role. The VDR gene polymorphisms have been proposed as potential risk factors for MS development or evolution with non-conclusive results. METHODS AND RESULTS We conducted a cross-sectional study including patients ≥ 18 years, with a diagnosis of relapsing remitting MS according to the McDonald Criteria and having a minimum follow-up period of one year after starting a disease modifying therapy. Two study groups were compared based on the Multiple Sclerosis Severity Scale or MSSS: "a slow progressor" group for an MSSS ≤ 5, and a "fast progressor" group for an MSSS > 5. The rs1544410 VDR gene polymorphism was studied for all patients. Eighty patients were included. The fast progressor groups had a higher EDSS at onset, a higher total number of relapses, more frequent and shorter time to secondary progression. The progression profile was not statistically different between genotypes and alleles of the VDR gene polymorphism rs1544410. The CC genotype and wild-type allele exhibited a more aggressive disease phenotype with a higher number of relapses the first year, shorter time to secondary progression and cerebral atrophy on assessment. CONCLUSIONS Our results suggest potential genotype-phenotype correlations for the rs1544410 VDR gene polymorphism in the disease course of MS. Future research on a larger scale is needed to confirm these findings.
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Affiliation(s)
- Maha Jamoussi
- Neurology Department, Charles Nicolle Hospital, Tunis, Tunisia.
- Charles Nicolle Hospital Research Laboratory LR12SP01, Tunis, Tunisia.
- Faculty of Medicine of Tunis, University Tunis El Manar, Tunis, Tunisia.
| | - Faten Alaya
- Charles Nicolle Hospital Research Laboratory LR12SP01, Tunis, Tunisia
- Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Hela Jamoussi
- Neurology Department, Charles Nicolle Hospital, Tunis, Tunisia
- Charles Nicolle Hospital Research Laboratory LR12SP01, Tunis, Tunisia
- Faculty of Medicine of Tunis, University Tunis El Manar, Tunis, Tunisia
| | - Ghada Baraket
- Department of Biology, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Afef Achouri
- Charles Nicolle Hospital Research Laboratory LR12SP01, Tunis, Tunisia
| | - Mariem Ben Mahmoud
- Neurology Department, Charles Nicolle Hospital, Tunis, Tunisia
- Charles Nicolle Hospital Research Laboratory LR12SP01, Tunis, Tunisia
- Faculty of Medicine of Tunis, University Tunis El Manar, Tunis, Tunisia
| | - Saloua Fray
- Neurology Department, Charles Nicolle Hospital, Tunis, Tunisia
- Charles Nicolle Hospital Research Laboratory LR12SP01, Tunis, Tunisia
- Faculty of Medicine of Tunis, University Tunis El Manar, Tunis, Tunisia
| | - Nadia Ben Ali
- Neurology Department, Charles Nicolle Hospital, Tunis, Tunisia
- Charles Nicolle Hospital Research Laboratory LR12SP01, Tunis, Tunisia
- Faculty of Medicine of Tunis, University Tunis El Manar, Tunis, Tunisia
| | - Taieb Messaoud
- Children's Hospital of Tunis Bechir Hamza, Tunis, Tunisia
| | - Amel Hannachi Salhi
- Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia
- Department of Biology, Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia
| | - Mohamed Fredj
- Neurology Department, Charles Nicolle Hospital, Tunis, Tunisia
- Charles Nicolle Hospital Research Laboratory LR12SP01, Tunis, Tunisia
- Faculty of Medicine of Tunis, University Tunis El Manar, Tunis, Tunisia
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Lorefice L, Ferraro OE, Fenu G, Amato MP, Bresciamorra V, Conte A, De Luca G, Ferraro D, Filippi M, Gazzola P, Iaffaldano P, Inglese M, Lus G, Marfia GA, Patti F, Pesci I, Salemi G, Trojano M, Zaffaroni M, Monti MC, Cocco E. Late-onset multiple sclerosis: disability trajectories in relapsing-remitting patients of the Italian MS Registry. J Neurol 2024; 271:1630-1637. [PMID: 38172380 DOI: 10.1007/s00415-023-12152-9] [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: 09/25/2023] [Revised: 12/07/2023] [Accepted: 12/08/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Generally infrequent, multiple sclerosis (MS) with late onset (LOMS) is characterized by an onset over the age of 50 and a mainly progressive course, while relapsing-remitting (RR) forms are less frequently observed and explored. This study aimed to characterize a large cohort of MS patients with RRMS at onset to assess the baseline factors related to the worst disability trajectories and explore the role of LOMS. METHODS The data were extracted from the Italian MS Register (IMSR). Disability trajectories, defined using at least two and up to twenty expanded disability status scale (EDSS) assessments annually performed, were implemented using group-based trajectory models (GBTMs) to identify different groups with the same trajectories over time. MS profiles were explored using multinomial logistic regression. RESULTS A total of 16,159 RR patients [1012 (6.26%) presented with LOMS] were analyzed. The GBTM identified four disability trajectories. The group with the most severe EDSS trend included 12.3% of the patients with a mean EDSS score > 4, which increased over time and exceeded 6 score. The group with medium severity EDSS trend comprised 21.9% of the patients and showed a change in EDSS > 3 scores over time. The largest group with 50.8% of patients reported a constant EDSS of 2 score. Finally, the benign group comprised 14.9% of the patients with a low and constant EDSS of 1 score over time. The probability of being in the worst groups increased if the patient was male; had LOMS or experienced brainstem, spinal, or supratentorial symptoms. CONCLUSIONS Four MS severity profiles among RRMS patients in the IMSR have been reported, with LOMS being associated with a rapid worsening of EDSS scores. These findings have important implications for recognizing and managing how older age, aging, and age-related factors interact with MS and its evolution.
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Affiliation(s)
- Lorena Lorefice
- Department of Medical Sciences and Public Health, Multiple Sclerosis Center, Binaghi Hospital, University of Cagliari, ASL Cagliari, via Is Guadazzonis 2, PO Binaghi, 01916, Cagliari, Italy.
| | - Ottavia Elena Ferraro
- Unit of Biostatistics and Clinical Epidemiology, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100, Pavia, Italy
| | - Giuseppe Fenu
- Department of Neurosciences, ARNAS Brotzu, Cagliari, Italy
| | - Maria Pia Amato
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Vincenzo Bresciamorra
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, Multiple Sclerosis Clinical Care and Research Centre, University of Naples "Federico II", Naples, Italy
| | - Antonella Conte
- Department of Human Neurosciences, Sapienza, University of Rome, Rome, Italy
- IRCCS Neuromed, Pozzilli, IS, Italy
| | - Giovanna De Luca
- Multiple Sclerosis Centre, Neurology Unit, SS. Annunziata Hospital University "G D'Annunzio" Chieti-Pescara, Chieti, Italy
| | - Diana Ferraro
- Department of Neurosciences, Civil Hospital of Baggiovara, AOU of Modena, Baggiovara, Italy
| | - Massimo Filippi
- Neurology, Neurorehabilitation and Neuroimaging Research Units, Neurophysiology Service, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Paola Gazzola
- Neurology Unit, P.A. Micone Hospital, ASL3 Genovese, Genoa, Italy
| | - Pietro Iaffaldano
- Department of Translational Biomedicine and Neurosciences, DiBraiN University of Bari Aldo Moro, Bari, Italy
| | - Matilde Inglese
- Dipartimento Di Neuroscienze, Riabilitazione, Oftalmologia, Genetica E Scienze Materno - Infantili (DINOGMI), Universita' Di Genova, Genoa, Liguria, Italy
| | - Giacomo Lus
- Multiple Sclerosis Center, Second Division of Neurology, Department of Advanced Medical and Surgical Science, University of Campania Luigi Vanvitelli, 80131, Naples, Italy
| | - Girolama Alessandra Marfia
- Multiple Sclerosis Clinical and Research Unit, Department of Systems Medicine, Tor Vergata University, 00133, Rome, Italy
| | - Francesco Patti
- Department Medical and Surgical Sciences and Advanced Technologies, GF Ingrassia, University of Catania, Catania, Italy
| | - Ilaria Pesci
- Centro Sclerosi Multipla Unità Operativa Neurologia, Azienda Unità Sanitaria Locale, Ospedale Di Vaio, Fidenza, Parma, Italy
| | - Giuseppe Salemi
- Department of Biomedicine, Neuroscience and Advanced Diagnostics, University of Palermo, Palermo, Italy
| | - Maria Trojano
- Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari "Aldo Moro", 70124, Bari, Italy
| | - Mauro Zaffaroni
- Multiple Sclerosis Center, Hospital of Gallarate - ASST Della Valle Olona, Gallarate, Italy
| | - Maria Cristina Monti
- Unit of Biostatistics and Clinical Epidemiology, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100, Pavia, Italy
| | - Eleonora Cocco
- Department of Medical Sciences and Public Health, Multiple Sclerosis Center, Binaghi Hospital, University of Cagliari, ASL Cagliari, via Is Guadazzonis 2, PO Binaghi, 01916, Cagliari, Italy
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Stojkovic L, Jovanovic I, Dincic E, Djordjevic A, Kuveljic J, Djuric T, Stankovic A, Vojinovic S, Zivkovic M. Targeted RNAseq Revealed the Gene Expression Signature of Ferroptosis-Related Processes Associated with Disease Severity in Patients with Multiple Sclerosis. Int J Mol Sci 2024; 25:3016. [PMID: 38474262 DOI: 10.3390/ijms25053016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 02/15/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024] Open
Abstract
Detrimental molecular processes in multiple sclerosis (MS) lead to the cellular accumulation of lipid peroxidation products and iron in the CNS, which represents the main driving force for ferroptosis. Ferroptosis is an iron-dependent form of regulated cell death, with proposed roles in neurodegeneration, oligodendrocyte loss and neuroinflammation in the pathogenesis of MS. Ferroptosis-related gene expression signature and molecular markers, which could reflect MS severity and progression, are currently understudied in humans. To tackle these challenges, we have applied a curated approach to create and experimentally analyze a comprehensive panel of ferroptosis-related genes covering a wide range of biological processes associated with ferroptosis. We performed the first ferroptosis-related targeted RNAseq on PBMCs from highly distinctive MS phenotype groups: mild relapsing-remitting (RR) (n = 24) and severe secondary progressive (SP) (n = 24), along with protein detection of GPX4 and products of lipid peroxidation (MDA and 4-HNE). Out of 138 genes, 26 were differentially expressed genes (DEGs), indicating changes in both pro- and anti-ferroptotic genes, representing a molecular signature associated with MS severity. The top three DEGs, as non-core ferroptosis genes, CDKN1A, MAP1B and EGLN2, were replicated by qPCR to validate findings in independent patient groups (16 RR and 16 SP MS). Co-expression and interactions of DEGs were presented as additional valuable assets for deeper understanding of molecular mechanisms and key targets related to MS severity. Our study integrates a wide genetic signature and biochemical markers related to ferroptosis in easily obtainable PBMCs of MS patients with clinical data and disease severity, thus providing novel molecular markers which can complement disease-related changes in the brain and undergo further research as potential therapeutic targets.
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Affiliation(s)
- Ljiljana Stojkovic
- Laboratory for Radiobiology and Molecular Genetics, VINČA Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, P.O. Box 522, 11000 Belgrade, Serbia
| | - Ivan Jovanovic
- Laboratory for Radiobiology and Molecular Genetics, VINČA Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, P.O. Box 522, 11000 Belgrade, Serbia
| | - Evica Dincic
- Clinic for Neurology, Military Medical Academy, 11000 Belgrade, Serbia
- Medical Faculty, University of Defense in Belgrade, 11042 Belgrade, Serbia
| | - Ana Djordjevic
- Laboratory for Radiobiology and Molecular Genetics, VINČA Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, P.O. Box 522, 11000 Belgrade, Serbia
| | - Jovana Kuveljic
- Laboratory for Radiobiology and Molecular Genetics, VINČA Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, P.O. Box 522, 11000 Belgrade, Serbia
| | - Tamara Djuric
- Laboratory for Radiobiology and Molecular Genetics, VINČA Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, P.O. Box 522, 11000 Belgrade, Serbia
| | - Aleksandra Stankovic
- Laboratory for Radiobiology and Molecular Genetics, VINČA Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, P.O. Box 522, 11000 Belgrade, Serbia
| | - Slobodan Vojinovic
- Department of Neurology, Medical Faculty, University of Nis, 18000 Nis, Serbia
| | - Maja Zivkovic
- Laboratory for Radiobiology and Molecular Genetics, VINČA Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, P.O. Box 522, 11000 Belgrade, Serbia
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Oechtering J, Stein K, Schaedelin SA, Maceski AM, Orleth A, Meier S, Willemse E, Qureshi F, Heijnen I, Regeniter A, Derfuss T, Benkert P, D'Souza M, Limberg M, Fischer-Barnicol B, Achtnichts L, Mueller S, Salmen A, Lalive PH, Bridel C, Pot C, Du Pasquier RA, Gobbi C, Wiendl H, Granziera C, Kappos L, Trendelenburg M, Leppert D, Lunemann JD, Kuhle J. Complement Activation Is Associated With Disease Severity in Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200212. [PMID: 38354323 PMCID: PMC10913171 DOI: 10.1212/nxi.0000000000200212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 01/12/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND AND OBJECTIVES Histopathologic studies have identified immunoglobulin (Ig) deposition and complement activation as contributors of CNS tissue damage in multiple sclerosis (MS). Intrathecal IgM synthesis is associated with higher MS disease activity and severity, and IgM is the strongest complement-activating immunoglobulin. In this study, we investigated whether complement components (CCs) and complement activation products (CAPs) are increased in persons with MS, especially in those with an intrathecal IgM synthesis, and whether they are associated with disease severity and progression. METHODS CC and CAP levels were quantified in plasma and CSF of 112 patients with clinically isolated syndrome (CIS), 127 patients with MS (90 relapsing-remitting, 14 primary progressive, and 23 secondary progressive), 31 inflammatory neurologic disease, and 44 symptomatic controls from the Basel CSF databank study. Patients with CIS/MS were followed in the Swiss MS cohort study (median 6.3 years). Levels of CC/CAP between diagnosis groups were compared; in CIS/MS, associations of CC/CAP levels with intrathecal Ig synthesis, baseline Expanded Disability Status Scale (EDSS) scores, MS Severity Score (MSSS), and neurofilament light chain (NfL) levels were investigated by linear regression, adjusted for age, sex, and albumin quotient. RESULTS CSF (but not plasma) levels of C3a, C4a, Ba, and Bb were increased in patients with CIS/MS, being most pronounced in those with an additional intrathecal IgM production. In CIS, doubling of C3a and C4a in CSF was associated with 0.31 (CI 0.06-0.56; p = 0.016) and 0.32 (0.02-0.62; p = 0.041) increased EDSS scores at lumbar puncture. Similarly, doubling of C3a and Ba in CIS/MS was associated with 0.61 (0.19-1.03; p < 0.01) and 0.74 (0.18-1.31; p = 0.016) increased future MSSS. In CIS/MS, CSF levels of C3a, C4a, Ba, and Bb were associated with increased CSF NfL levels, e.g., doubling of C3a was associated with an increase of 58% (Est. 1.58; CI 1.37-1.81; p < 0.0001). DISCUSSION CNS-compartmentalized activation of the classical and alternative pathways of complement is increased in CIS/MS and associated with the presence of an intrathecal IgM production. Increased complement activation within the CSF correlates with EDSS, future MSSS, and NfL levels, supporting the concept that complement activation contributes to MS pathology and disease progression. Complement inhibition should be explored as therapeutic target to attenuate disease severity and progression in MS.
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Affiliation(s)
- Johanna Oechtering
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Kerstin Stein
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Sabine A Schaedelin
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Aleksandra M Maceski
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Annette Orleth
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Stephanie Meier
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Eline Willemse
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Ferhan Qureshi
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Ingmar Heijnen
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Axel Regeniter
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Tobias Derfuss
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Pascal Benkert
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Marcus D'Souza
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Marguerite Limberg
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Bettina Fischer-Barnicol
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Lutz Achtnichts
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Stefanie Mueller
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Anke Salmen
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Patrice H Lalive
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Claire Bridel
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Caroline Pot
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Renaud A Du Pasquier
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Claudio Gobbi
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Heinz Wiendl
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Cristina Granziera
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Marten Trendelenburg
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - David Leppert
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Jan D Lunemann
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Jens Kuhle
- From the Department of Neurology (J.O., A.M.M., A.O., S. Meier, E.W., T.D., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.); Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB) (J.O., S.A.S., A.M.M., A.O., S. Meier, E.W., T.D., P.B., M.D.S., M.L., B.F.-B., C. Granziera, L.K., D.L., J.K.), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Switzerland; Department of Neurology with Institute of Translational Neurology (K.S., H.W., J.D.L.), University Hospital 4 Münster, Germany; Clinical Trial Unit (S.A.S., P.B.), Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland; Octavebio Bioscience (F.Q.), Menlo Park, CA; Division of Medical Immunology (I.H.), Laboratory Medicine, University Hospital Basel, Switzerland; Medica Laboratory (A.R.), Zürich; Department of Neurology (L.A.), Cantonal Hospital, Aarau; Department of Neurology (S. Mueller), Cantonal Hospital St. Gallen; Department of Neurology (A.S.), Inselspital, Bern University Hospital and University of Bern; Department of Clinical Neurosciences (P.H.L., C.B.), Division of Neurology; Diagnostic Department (P.H.L.), Division of Laboratory Medicine; Department of Pathology and Immunology (P.H.L.), Faculty of Medicine, University of Geneva; Division of Neurology (C.P., R.A.D.P.), Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and University of Lausanne; Neurocentre of Southern Switzerland (C. Gobbi), Multiple Sclerosis Centre, Ospedale Civico; Faculty of Biomedical Sciences (C. Gobbi), Università della Svizzera Italiana (USI), Lugano, Switzerland; Translational Imaging in Neurology (ThINk) Basel (C. Granziera), Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel; and Division of Internal Medicine (M.T.), University Hospital Basel and Clinical Immunology, Department of Biomedicine, University of Basel, Basel, Switzerland
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Fujimori J, Nakashima I. Early-stage volume losses in the corpus callosum and thalamus predict the progression of brain atrophy in patients with multiple sclerosis. J Neuroimmunol 2024; 387:578280. [PMID: 38171046 DOI: 10.1016/j.jneuroim.2023.578280] [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: 11/29/2023] [Revised: 12/20/2023] [Accepted: 12/28/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND A method that can be used in the early stage of multiple sclerosis (MS) to predict the progression of brain volume loss (BVL) has not been fully established. METHODS To develop a method of predicting progressive BVL in patients with MS (pwMS), eighty-two consecutive Japanese pwMS-with either relapsing-remitting MS (86%) or secondary progressive MS (14%)-and 41 healthy controls were included in this longitudinal retrospective analysis over an observational period of approximately 3.5 years. Using a hierarchical cluster analysis with multivariate imaging data obtained by FreeSurfer analysis, we classified the pwMS into clusters. RESULTS At baseline and follow-up, pwMS were cross-sectionally classified into three major clusters (Clusters 1, 2, and 3) in ascending order by disability and BVL. Among the patients included in Cluster 1 at baseline, approximately one-third of patients (12/52) transitioned into Cluster 2 at follow-up. The volumes of the corpus callosum, the thalamus, and the whole brain excluding the ventricles were significantly decreased in the transition group compared with the nontransition group and were found to be the most important predictors of transition. CONCLUSION Decreased volumes of the corpus callosum and thalamus in the relatively early stage of MS may predict the development of BVL.
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Affiliation(s)
- Juichi Fujimori
- Division of Neurology, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
| | - Ichiro Nakashima
- Division of Neurology, Tohoku Medical and Pharmaceutical University, Sendai, Japan
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Stefanović M, Stojković L, Životić I, Dinčić E, Stanković A, Živković M. Expression levels of GSDMB and ORMDL3 are associated with relapsing-remitting multiple sclerosis and IKZF3 rs12946510 variant. Heliyon 2024; 10:e25033. [PMID: 38314276 PMCID: PMC10837620 DOI: 10.1016/j.heliyon.2024.e25033] [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: 07/24/2023] [Revised: 01/17/2024] [Accepted: 01/18/2024] [Indexed: 02/06/2024] Open
Abstract
Multiple sclerosis (MS), a noncurable autoimmune neurodegenerative disease, requires constant research that could improve understanding of both environmental and genetic factors that lead to its occurrence and/or progression. Recognition of the genetic basis of MS further leads to an investigation of the regulatory role of genetic variants on gene expression. Among risk variants for MS, Ikaros zinc finger 3 (IKZF3) gene variant rs12946510 was identified as one of the top-ranked and the expression quantitative trait loci (eQTL) for genes residing in chromosomal locus 17q12-21. The study aimed to investigate the association of gene expression of the immunologically relevant genes, which map to indicated locus, ORMDL3, GSDMB, and IKZF3, with MS and rs12946510 genotype, taking into account disease phase, clinical parameters of disease progression, and severity and immunomodulatory therapy. We used TaqMan® technology for both allelic discrimination and gene expression determination in 67 relapsing MS patients and 50 healthy controls. Decreased ORMDL3 and GSDMB mRNA levels had significant associations with MS and rs12946510 TT rare homozygote among patients. Significant positive correlations between ORMDL3 and GSDMB mRNA expression were observed in both patients and controls. We detected the significant between-effect of sex and rs12946510 on the expression of ORMDL3 in the patient group and interferon β therapy and rs12946510 on GSDMB expression. Our results show the association of ORMDL3 and GSDMB mRNA expression with the clinical manifestation of MS and confirm that IKZF3 rs12946510 exerts the eQTL effect on both genes in multiple sclerosis. Besides providing novel insight related to MS phases and interferon β therapy, the study results confirm previous studies on regulatory genetic variants, autoimmunity, and MS.
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Affiliation(s)
- Milan Stefanović
- VINČA Institute of Nuclear Sciences - National Institute of the Republic of Serbia, Laboratory for Radiobiology and Molecular Genetics, University of Belgrade, Belgrade, Serbia
| | - Ljiljana Stojković
- VINČA Institute of Nuclear Sciences - National Institute of the Republic of Serbia, Laboratory for Radiobiology and Molecular Genetics, University of Belgrade, Belgrade, Serbia
| | - Ivan Životić
- VINČA Institute of Nuclear Sciences - National Institute of the Republic of Serbia, Laboratory for Radiobiology and Molecular Genetics, University of Belgrade, Belgrade, Serbia
| | - Evica Dinčić
- Military Medical Academy, Clinic for Neurology, Belgrade, Serbia
| | - Aleksandra Stanković
- VINČA Institute of Nuclear Sciences - National Institute of the Republic of Serbia, Laboratory for Radiobiology and Molecular Genetics, University of Belgrade, Belgrade, Serbia
| | - Maja Živković
- VINČA Institute of Nuclear Sciences - National Institute of the Republic of Serbia, Laboratory for Radiobiology and Molecular Genetics, University of Belgrade, Belgrade, Serbia
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Hernández-Preciado MR, Torres-Mendoza BM, Mireles-Ramírez MA, Kobayashi-Gutiérrez A, Sánchez-Rosales NA, Vázquez-Valls E, Marquez-Pedroza J. Gene expression in multiple sclerosis during pregnancy based on integrated bioinformatics analysis. Mult Scler Relat Disord 2024; 82:105373. [PMID: 38154347 DOI: 10.1016/j.msard.2023.105373] [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: 08/22/2023] [Revised: 11/17/2023] [Accepted: 12/10/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND The modulation of the activity disease in patients with Multiple Sclerosis (MS) that occurs during pregnancy is a helpful model which could provide insight into central disease mechanisms and facilitate treatment. Therefore, the aim of the study was to identify differentially expressed genes in-silico to perform biological function pathway enrichment analysis and protein-protein interaction from pregnant women with MS. METHODS Transcriptome data were obtained from the Gene Expression Omnibus (GEO) database. We selected the microarray dataset GSE17449. The gene expression dataset contains the data of mononuclear cells from four different groups sought, including seven healthy women (H), four healthy pregnant women (HP), eight women with multiple sclerosis (WMS), and nine women nine months pregnant with multiple sclerosis (PMS). The GSEA software was employed for enrichment analysis, and the REACTOME database was used for biological pathways. The protein-protein interaction (PPI) network was plotted with STRING. The databases used to identify the connection of DEGs with different signaling pathways were KEGG and WIKIPATHWAYS. RESULTS We identified 42 differentially expressed genes in pregnant women with MS. The significant pathways included IL-10 signaling pathway, ErbB2 activates, the hemoglobin complex (HBD, HBB, HBA1, AHSP, and HBA2), IL-17 signaling pathway (LCN2 and MMP9), antigen processing and presentation, and Th17 cell differentiation (HLA-DQA1), Rap1 signaling pathway (ID1), NOD-Like receptor signaling pathway (CAMP and DEFA4), PD-L1 Signaling, Interferon gamma signaling (MMP9 and ARG1), Neutrophil degranulation (CAMP, DEFA4, ELANE, CEACAM8, S100P, CHI3L1, AZU1, OLFM4, CRISP3, LTF, ARG1, PGLYRP1, and TCN1). In the WIKIPATHWAYS set, significance was found Vitamin B12 metabolism (TCN1, HBB, and HBA2), and IL-18 signaling pathway (S100P). CONCLUSION This study can be used to understand several essential target genes and pathways identified in the present study, which may serve as feasible targets for MS therapies.
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Affiliation(s)
- Martha Rocio Hernández-Preciado
- High Specialty Medical Unit, Pediatric Hospital, Western National Medical Center of the Mexican Institute of Social Security, Guadalajara 44340, Mexico; Department of Philosophical and Methodological Disciplines, University Health Sciences Center, University of Guadalajara, Guadalajara 44340, Mexico
| | - Blanca Miriam Torres-Mendoza
- Department of Philosophical and Methodological Disciplines, University Health Sciences Center, University of Guadalajara, Guadalajara 44340, Mexico; Neurosciences Division, Western Biomedical Research Center (IMSS), Guadalajara 44340, Mexico
| | - Mario Alberto Mireles-Ramírez
- High Specialty Medical Unit, Western National Medical Center of the Mexican Institute of Social Security, Guadalajara 44340, Mexico
| | - Antonio Kobayashi-Gutiérrez
- High Specialty Medical Unit, Western National Medical Center of the Mexican Institute of Social Security, Guadalajara 44340, Mexico; PhD in Psychology of Health, University Health Sciences Center, University of Guadalajara, Guadalajara 44340, Mexico
| | - Nayeli Alejandra Sánchez-Rosales
- High Specialty Medical Unit, Western National Medical Center of the Mexican Institute of Social Security, Guadalajara 44340, Mexico
| | - Eduardo Vázquez-Valls
- Directorate of Generation of Professional Resources, Research, and Development, Secretary of Health, Guadalajara 44100, Mexico
| | - Jazmin Marquez-Pedroza
- Neurosciences Division, Western Biomedical Research Center (IMSS), Guadalajara 44340, Mexico.
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Sun D, Wang R, Du Q, Zhang Y, Chen H, Shi Z, Wang X, Zhou H. Causal relationship between multiple sclerosis and cortical structure: a Mendelian randomization study. J Transl Med 2024; 22:83. [PMID: 38245759 PMCID: PMC10800041 DOI: 10.1186/s12967-024-04892-7] [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: 06/29/2023] [Accepted: 01/13/2024] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Observational studies have suggested an association between multiple sclerosis (MS) and cortical structure, but the results have been inconsistent. OBJECTIVE We used two-sample Mendelian randomization (MR) to assess the causal relationship between MS and cortical structure. METHODS MS data as the exposure trait, including 14,498 cases and 24,091 controls, were obtained from the International Multiple Sclerosis Genetics Consortium. Genome-wide association study (GWAS) data for cortical surface area (SAw/nw) and thickness (THw/nw) in 51,665 individuals of European ancestry were obtained from the ENIGMA Consortium. The inverse-variance weighted (IVW) method was used as the primary analysis for MR. Sensitivity analyses were conducted to evaluate heterogeneity and pleiotropy. Enrichment analysis was performed on MR analyses filtered by sensitivity analysis. RESULTS After IVW and sensitivity analysis filtering, only six surviving MR results provided suggestive evidence supporting a causal relationship between MS and cortical structure, including lingual SAw (p = .0342, beta (se) = 5.7127 (2.6969)), parahippocampal SAw (p = .0224, beta (se) = 1.5577 (0.6822)), rostral middle frontal SAw (p = .0154, beta (se) = - 9.0301 (3.7281)), cuneus THw (p = .0418, beta (se) = - 0.0020 (0.0010)), lateral orbitofrontal THw (p = .0281, beta (se) = 0.0025 (0.0010)), and lateral orbitofrontal THnw (p = .0417, beta (se) = 0.0029 (0.0014)). Enrichment analysis suggested that leukocyte cell-related pathways, JAK-STAT signaling pathway, NF-kappa B signaling pathway, cytokine-cytokine receptor interaction, and prolactin signaling pathway may be involved in the effect of MS on cortical morphology. CONCLUSION Our results provide evidence supporting a causal relationship between MS and cortical structure. Enrichment analysis suggests that the pathways mediating brain morphology abnormalities in MS patients are mainly related to immune and inflammation-driven pathways.
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Affiliation(s)
- Dongren Sun
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China
| | - Rui Wang
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China
| | - Qin Du
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China
| | - Ying Zhang
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China
| | - Hongxi Chen
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China
| | - Ziyan Shi
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China
| | - Xiaofei Wang
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China.
| | - Hongyu Zhou
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China.
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Ferret-Sena V, Ramos C, Cascais MJ, Capela C, Sena A. Oral Contraceptives Interact with Adiposity-Associated Markers in Patients with Multiple Sclerosis. J Clin Med 2024; 13:464. [PMID: 38256598 PMCID: PMC10816152 DOI: 10.3390/jcm13020464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 01/04/2024] [Accepted: 01/12/2024] [Indexed: 01/24/2024] Open
Abstract
Growing evidence suggests the involvement of adipose tissue in modulating the clinical course of relapsing-remitting multiple sclerosis (RRMS). This study aimed to investigate whether the intake of combined oral contraceptives (COCs) affects body weight and leptin and adiponectin (APN) blood levels in these patients. Clinical data from 62 women (M = 33.23 year) were recorded prior to the initiation of disease-modifying therapy. Patients who were taking COCs at the time of experiencing the first symptoms of disease (COC user) were compared with those who never used these formulations or stopped taking them before disease onset (COC non-user). Bivariate Pearson's correlations and hierarchical multiple linear regressions analysis were conducted. Normalized APN levels were lower in the COC-using patients (p = 0.013). Negative correlations between waist circumference and normalized APN (p = 0.001) were observed only in the COC non-user patients. A longer duration of COC intake was associated with increased body mass index and waist circumference (p = 0.003). Normalized APN predicted the MS Severity Score (MSSS) (p = 0.020), but this correlation was lost in the COC user patients. After adjusting for confounders, only age (p = 0.027) and, later, disease onset (p = 0.014) were correlated with the MSSS. Larger and prospective studies are needed to investigate the interactions of sex steroids with adipose metabolism in modulating disease progression.
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Affiliation(s)
- Véronique Ferret-Sena
- Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Caparica, 2829-511 Almada, Portugal; (V.F.-S.); (C.R.)
| | - Catarina Ramos
- Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Caparica, 2829-511 Almada, Portugal; (V.F.-S.); (C.R.)
| | - Maria João Cascais
- Nutritional Biochemistry, NOVA Medical School, Universidade Nova de Lisboa, 1150-199 Lisbon, Portugal;
| | - Carlos Capela
- Centro de Responsabilidade Integrado de Esclerose Múltipla, Hospital Santo António dos Capuchos, Centro Hospitalar Universitário Lisboa Central, EPE, 1169-050 Lisbon, Portugal;
- Centro Clínico Académico de Lisboa, 1159-056 Lisbon, Portugal
| | - Armando Sena
- Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Science, Caparica, 2829-511 Almada, Portugal; (V.F.-S.); (C.R.)
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15
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Cárdenas-Robledo S, Arenas-Vargas LE, Carvajal-Parra MS, Guío-Sánchez C, López-Reyes L. Seasonality and clinical characteristics of MS in an equatorial country. Mult Scler Relat Disord 2024; 81:105352. [PMID: 38113711 DOI: 10.1016/j.msard.2023.105352] [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: 09/07/2023] [Revised: 11/19/2023] [Accepted: 12/03/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND Month and season of birth have been associated with risk of multiple sclerosis (MS), but there is relatively little evidence regarding their influence on the timing and severity of disease at onset. OBJECTIVE To assess whether month and season of birth influence the age and phenotype at onset of MS as well as its severity in a cohort of Colombian patients. METHODS This study is an analysis on MS cases only, drawn from a previously published case-control study. MS cases confirmed with current diagnostic criteria cared for at least once in our center were included. We assessed the influence of the month and season of birth in the age at MS onset, MS severity score, and age-related MS severity score using multiple and pairwise comparisons. Age at onset was also studied using Kaplan-Meier survival estimates compared with the log-rank test. The likelihood of progressive MS onset was evaluated with OR estimated from logistic regression models adjusted for age at onset and sex. RESULTS 668 MS cases were included. No significant differences were found in the age at MS onset according to month of birth or season of birth. Neither month of birth nor season of birth conferred significant differences in MS severity score or age-related MS severity score. No significant association was found between month (ORs ranging from 0.62 to 3.11, none significant) or season of birth (OR 0.91; 95 %CI: 0.46-1.84) with primary progressive MS. CONCLUSION The month or season of birth do not appear to influence the age onset and phenotype of MS in our country.
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Affiliation(s)
- Simón Cárdenas-Robledo
- Centro de Esclerosis Múltiple (CEMHUN), Departamento de Neurología, Hospital Universitario Nacional de Colombia, Bogotá, Colombia; Departamento de Medicina Interna, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia.
| | - Laura Estefanía Arenas-Vargas
- Centro de Esclerosis Múltiple (CEMHUN), Departamento de Neurología, Hospital Universitario Nacional de Colombia, Bogotá, Colombia; Departamento de Medicina Interna, Facultad de Medicina, Universidad Nacional de Colombia, Bogotá, Colombia
| | | | - Claudia Guío-Sánchez
- Centro de Esclerosis Múltiple (CEMHUN), Departamento de Neurología, Hospital Universitario Nacional de Colombia, Bogotá, Colombia
| | - Lorena López-Reyes
- Centro de Esclerosis Múltiple (CEMHUN), Departamento de Neurología, Hospital Universitario Nacional de Colombia, Bogotá, Colombia
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16
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Dalla Costa G, Nos C, Zabalza A, Buron M, Magyari M, Sellebjerg F, Guerrero AI, Roselli L, La Porta ML, Martinis M, Bailon R, Kontaxis S, Laporta E, Garcia E, Pokorny FB, Schuller BW, Folarin A, Stewart C, Leocani L, Vairavan S, Cummins N, Dobson R, Hotopf M, Narayan V, Montalban X, Sorensen PS, Comi G. A wearable device perspective on the standard definitions of disability progression in multiple sclerosis. Mult Scler 2024; 30:103-112. [PMID: 38084497 DOI: 10.1177/13524585231214362] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2023]
Abstract
INTRODUCTION Multiple sclerosis (MS) is a leading cause of disability among young adults, but standard clinical scales may not accurately detect subtle changes in disability occurring between visits. This study aims to explore whether wearable device data provides more granular and objective measures of disability progression in MS. METHODS Remote Assessment of Disease and Relapse in Central Nervous System Disorders (RADAR-CNS) is a longitudinal multicenter observational study in which 400 MS patients have been recruited since June 2018 and prospectively followed up for 24 months. Monitoring of patients included standard clinical visits with assessment of disability through use of the Expanded Disability Status Scale (EDSS), 6-minute walking test (6MWT) and timed 25-foot walk (T25FW), as well as remote monitoring through the use of a Fitbit. RESULTS Among the 306 patients who completed the study (mean age, 45.6 years; females 67%), confirmed disability progression defined by the EDSS was observed in 74 patients, who had approximately 1392 fewer daily steps than patients without disability progression. However, the decrease in the number of steps experienced over time by patients with EDSS progression and stable patients was not significantly different. Similar results were obtained with disability progression defined by the 6MWT and the T25FW. CONCLUSION The use of continuous activity monitoring holds great promise as a sensitive and ecologically valid measure of disability progression in MS.
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Affiliation(s)
| | - Carlos Nos
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ana Zabalza
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mathias Buron
- Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Melinda Magyari
- Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Finn Sellebjerg
- Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Ana Isabel Guerrero
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | | | | | | | - Raquel Bailon
- Biomedical Signal Interpretation & Computational Simulation (BSICoS) Group, Aragon Institute of Engineering Research (I3A), IIS Aragon, University of Zaragoza, Zaragoza, Spain
- Centro de Investigacion Biomedica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Spyridon Kontaxis
- Biomedical Signal Interpretation & Computational Simulation (BSICoS) Group, Aragon Institute of Engineering Research (I3A), IIS Aragon, University of Zaragoza, Zaragoza, Spain
- Centro de Investigacion Biomedica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Estela Laporta
- Biomedical Signal Interpretation & Computational Simulation (BSICoS) Group, Aragon Institute of Engineering Research (I3A), IIS Aragon, University of Zaragoza, Zaragoza, Spain
- Centro de Investigacion Biomedica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
| | - Esther Garcia
- Centro de Investigacion Biomedica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Madrid, Spain
- Department of Microelectronics and Electronic Systems, Autonomous University of Barcelona, Barcelona, Spain
| | - Florian B Pokorny
- Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
- Division of Phoniatrics, Medical University of Graz, Graz, Austria
| | - Björn W Schuller
- Chair of Embedded Intelligence for Healthcare and Wellbeing, University of Augsburg, Augsburg, Germany
- Group on Language, Audio & Music, Imperial College London, London, UK
| | - Amos Folarin
- Department of Biostatistics & Health informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute of Health Informatics, University College London, London, UK
| | - Callum Stewart
- Department of Biostatistics & Health informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Institute of Health Informatics, University College London, London, UK
| | | | - Srinivasan Vairavan
- Janssen Research and Development LLC, Janssen Global Services, LLC, Titusville, NJ, USA
| | - Nicholas Cummins
- Department of Biostatistics & Health informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Richard Dobson
- Department of Biostatistics & Health informatics, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Matthew Hotopf
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Vaibhav Narayan
- Janssen Research and Development LLC, Janssen Global Services, LLC, Titusville, NJ, USA
| | - Xavier Montalban
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Vall d'Hebron Institut de Recerca, Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Per Soelberg Sorensen
- Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Giancarlo Comi
- Vita-Salute San Raffaele University, Milan, Italy/Multiple Sclerosis Center, Casa di Cura Igea, Milan, Italy
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17
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Tavazzi E, Zito A, Montomoli C, Bergsland N, Colombo E, La Malfa A, Bergamaschi R. A multiscale assessment of bowel impairment in an Italian multiple sclerosis cohort. Sci Rep 2023; 13:21960. [PMID: 38081859 PMCID: PMC10713637 DOI: 10.1038/s41598-023-48317-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 11/24/2023] [Indexed: 12/18/2023] Open
Abstract
Bowel dysfunctions (BD) in multiple sclerosis (MS) are under reported despite their clinical relevance. Scales usually applied do not thoroughly assess constipation and fecal incontinence. Instead, a proper qualitative and quantitative description of these symptoms might have relevant clinical and scientific consequences. The aim of this project is to study the prevalence of BD in a cohort of persons with MS (pwMS). Four-hundred and forty-seven pwMS (330 relapsing-remitting MS-RRMS and 117 progressive MS-PMS) were recruited. Three different questionnaires were administered: the neurogenic bowel dysfunction score (NBDS), the Wexner constipation scale (WexCon) and the Wexner incontinence scale (WexInc). All the scales were divided in subscores according to symptom severity. The prevalence of BD, considered as NBDS > 0, was 53.7%. Mean scores in pwMS group were as follows: NBDS 2.6 (SD 3.5), WexInc 1.1 (SD 2.4), WexCon 4.4 (SD 5.9). NBDS, WexCon and WexInc were significantly higher in PMS vs RRMS (p < 0.001), and significantly associated with disease duration, EDSS, multiple sclerosis severity score (p < 0.001), as well as with each other (p < 0.001). Our study confirms the presence of bowel dysfunctions in a large group of pwMS with a wide range of disability and their association with progressive disease phenotype and clinical disability.
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Affiliation(s)
- Eleonora Tavazzi
- IRCCS Fondazione Istituto Neurologico C.Mondino, Via Mondino 2, 27100, Pavia, Italy.
| | - Antonio Zito
- IRCCS Fondazione Istituto Neurologico C.Mondino, Via Mondino 2, 27100, Pavia, Italy
| | - Cristina Montomoli
- Unit of Biostatistics and Clinical Epidemiology, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
| | - Niels Bergsland
- Department of Neurology, School of Medicine and Biomedical Sciences, Buffalo Neuroimaging Analysis Center, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Elena Colombo
- IRCCS Fondazione Istituto Neurologico C.Mondino, Via Mondino 2, 27100, Pavia, Italy
| | - Alessandro La Malfa
- IRCCS Fondazione Istituto Neurologico C.Mondino, Via Mondino 2, 27100, Pavia, Italy
| | - Roberto Bergamaschi
- IRCCS Fondazione Istituto Neurologico C.Mondino, Via Mondino 2, 27100, Pavia, Italy
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18
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Prado P, Medel V, Gonzalez-Gomez R, Sainz-Ballesteros A, Vidal V, Santamaría-García H, Moguilner S, Mejia J, Slachevsky A, Behrens MI, Aguillon D, Lopera F, Parra MA, Matallana D, Maito MA, Garcia AM, Custodio N, Funes AÁ, Piña-Escudero S, Birba A, Fittipaldi S, Legaz A, Ibañez A. The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds. Sci Data 2023; 10:889. [PMID: 38071313 PMCID: PMC10710425 DOI: 10.1038/s41597-023-02806-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
The Latin American Brain Health Institute (BrainLat) has released a unique multimodal neuroimaging dataset of 780 participants from Latin American. The dataset includes 530 patients with neurodegenerative diseases such as Alzheimer's disease (AD), behavioral variant frontotemporal dementia (bvFTD), multiple sclerosis (MS), Parkinson's disease (PD), and 250 healthy controls (HCs). This dataset (62.7 ± 9.5 years, age range 21-89 years) was collected through a multicentric effort across five Latin American countries to address the need for affordable, scalable, and available biomarkers in regions with larger inequities. The BrainLat is the first regional collection of clinical and cognitive assessments, anatomical magnetic resonance imaging (MRI), resting-state functional MRI (fMRI), diffusion-weighted MRI (DWI), and high density resting-state electroencephalography (EEG) in dementia patients. In addition, it includes demographic information about harmonized recruitment and assessment protocols. The dataset is publicly available to encourage further research and development of tools and health applications for neurodegeneration based on multimodal neuroimaging, promoting the assessment of regional variability and inclusion of underrepresented participants in research.
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Affiliation(s)
- Pavel Prado
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Escuela de Fonoaudiología, Facultad de Odontología y Ciencias de la Rehabilitación, Universidad San Sebastián, Santiago, Chile
| | - Vicente Medel
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Raul Gonzalez-Gomez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | | | - Victor Vidal
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Hernando Santamaría-García
- PhD Neuroscience Program, Physiology and Psychiatry Departments, Pontificia Universidad Javeriana, Bogotá, Colombia
- Memory and Cognition Center Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
- Global Brain Health Institute, University of California San Francisco, San Francisco, USA
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Sebastian Moguilner
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jhony Mejia
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Departamento de Ingeniería Biomédica, Universidad de Los Andes, Bogotá, Colombia
- Memory and Aging Clinic, University of California San Francisco, San Francisco, USA
| | - Andrea Slachevsky
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department - Institute of Biomedical Sciences (ICBM), Neurocience and East Neuroscience Departments, Faculty of Medicine, University of Chile, Santiago de Chile, Chile
- Geroscience Center for Brain Health and Metabolism, (GERO), Santiago de Chile, Chile
- Memory and Neuropsychiatric Center (CMYN), Memory Unit - Neurology Department, Hospital del Salvador and Faculty of Medicine, University of Chile, Santiago de Chile, Chile
- Servicio de Neurología, Departamento de Medicina, Clínica Alemana-Universidad del Desarrollo, Santiago de Chile, Chile
| | - Maria Isabel Behrens
- Centro de Investigación Clínica Avanzada (CICA), Facultad de Medicina-Hospital Clínico, Universidad de Chile, Independencia, Santiago, 8380453, Chile
- Departamento de Neurología y Neurocirugía, Hospital Clínico Universidad de Chile, Independencia, Santiago, 8380430, Chile
- Departamento de Neurociencia, Facultad de Medicina, Universidad de Chile, Independencia, Santiago, 8380453, Chile
- Departamento de Neurología y Psiquiatría, Clínica Alemana-Universidad del Desarrollo, Santiago, 8370065, Chile
| | - David Aguillon
- Grupo de Neurociencias de Antioquia de la Universidad de Antioquia, Medellín, Colombia
| | - Francisco Lopera
- Grupo de Neurociencias de Antioquia de la Universidad de Antioquia, Medellín, Colombia
| | - Mario A Parra
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, United Kingdom
| | - Diana Matallana
- PhD Neuroscience Program, Physiology and Psychiatry Departments, Pontificia Universidad Javeriana, Bogotá, Colombia
- Memory and Cognition Center Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
- Mental Health Department, Hospital Universitario Fundación Santa Fe de Bogotá, Memory Clinic, Bogotá, Colombia
| | - Marcelo Adrián Maito
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
| | - Adolfo M Garcia
- Global Brain Health Institute, University of California San Francisco, San Francisco, USA
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile
| | - Nilton Custodio
- Unit Cognitive Impairment and Dementia Prevention, Peruvian Institute of Neurosciences, Lima, Peru
| | - Alberto Ávila Funes
- Geriatrics Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Stefanie Piña-Escudero
- Global Brain Health Institute, University of California San Francisco, San Francisco, USA
- Memory and Aging Clinic, University of California San Francisco, San Francisco, USA
| | - Agustina Birba
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
- Instituto Universitario de Neurociencia, Universidad de La Laguna, Tenerife, Spain
- Facultad de Psicología, Universidad de La Laguna, Tenerife, Spain
| | - Sol Fittipaldi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
| | - Agustina Legaz
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
| | - Agustín Ibañez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
- Global Brain Health Institute, University of California San Francisco, San Francisco, USA.
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina.
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19
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Hojjati S, Ernerudh J, Vrethem M, Mellergård J, Raffetseder J. Dimethyl fumarate treatment in relapsing remitting MS changes the inflammatory CSF protein profile by a prominent decrease in T-helper 1 immunity. Mult Scler Relat Disord 2023; 80:105126. [PMID: 37952502 DOI: 10.1016/j.msard.2023.105126] [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: 09/26/2023] [Accepted: 11/04/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND Dimethyl fumarate (DMF) is a common treatment for multiple sclerosis (MS), but its mechanisms of action are not fully understood. Targeted proteomics offers insights into effects of DMF and biomarkers for treatment responses. OBJECTIVES To assess influence of DMF on inflammation- and neuro-associated proteins in plasma and cerebrospinal fluid (CSF) in MS and to reveal biomarkers for predicting treatment responses. METHODS Using the high-sensitivity and high-specificity method of proximity extension assay (PEA), we measured 182 inflammation- and neuro-associated proteins in paired plasma (n = 28) and CSF (n = 12) samples before and after one year of DMF treatment. Disease activity was evaluated through clinical examination and MRI. Statistical tests, network analysis, and regression models were used. RESULTS Several proteins including T-helper 1 (Th1)-associated proteins (CXCL10, CXCL11, granzyme A, IL-12p70, lymphotoxin-alpha) were consistently decreased in CSF, while IL-7 was increased after one year of treatment. The changes in plasma protein levels did not follow the same pattern as in CSF. Logistic regression models identified potential biomarker candidates (including plexins and neurotrophins) for prediction of treatment response. CONCLUSIONS DMF treatment induced prominent changes in CSF proteins, consistently reducing Th1-associated pro-inflammatory proteins. Neurodegeneration-related CSF proteins were able to predict treatment response. Protein biomarkers hold promise for personalized medicine.
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Affiliation(s)
- Sara Hojjati
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Jan Ernerudh
- Department of Clinical Immunology and Transfusion Medicine in Linköping, and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Magnus Vrethem
- Department of Neurology in Linköping, and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Johan Mellergård
- Department of Neurology in Linköping, and Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
| | - Johanna Raffetseder
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
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20
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Zhang K, Lincoln JA, Jiang X, Bernstam EV, Shams S. Predicting multiple sclerosis severity with multimodal deep neural networks. BMC Med Inform Decis Mak 2023; 23:255. [PMID: 37946182 PMCID: PMC10634041 DOI: 10.1186/s12911-023-02354-6] [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: 07/17/2022] [Accepted: 10/25/2023] [Indexed: 11/12/2023] Open
Abstract
Multiple Sclerosis (MS) is a chronic disease developed in the human brain and spinal cord, which can cause permanent damage or deterioration of the nerves. The severity of MS disease is monitored by the Expanded Disability Status Scale, composed of several functional sub-scores. Early and accurate classification of MS disease severity is critical for slowing down or preventing disease progression via applying early therapeutic intervention strategies. Recent advances in deep learning and the wide use of Electronic Health Records (EHR) create opportunities to apply data-driven and predictive modeling tools for this goal. Previous studies focusing on using single-modal machine learning and deep learning algorithms were limited in terms of prediction accuracy due to data insufficiency or model simplicity. In this paper, we proposed the idea of using patients' multimodal longitudinal and longitudinal EHR data to predict multiple sclerosis disease severity in the future. Our contribution has two main facets. First, we describe a pioneering effort to integrate structured EHR data, neuroimaging data and clinical notes to build a multi-modal deep learning framework to predict patient's MS severity. The proposed pipeline demonstrates up to 19% increase in terms of the area under the Area Under the Receiver Operating Characteristic curve (AUROC) compared to models using single-modal data. Second, the study also provides valuable insights regarding the amount useful signal embedded in each data modality with respect to MS disease prediction, which may improve data collection processes.
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Affiliation(s)
- Kai Zhang
- Department of Health Data Science and Artificial Intelligence, McWilliams School of Biomedical Informatics, University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - John A Lincoln
- Department of Neurology, University of Texas Health Sciences Center, McGovern Medical School, Houston, TX, USA
| | - Xiaoqian Jiang
- Department of Health Data Science and Artificial Intelligence, McWilliams School of Biomedical Informatics, University of Texas Health Sciences Center at Houston, Houston, TX, USA
| | - Elmer V Bernstam
- Department of Health Data Science and Artificial Intelligence, McWilliams School of Biomedical Informatics, University of Texas Health Sciences Center at Houston, Houston, TX, USA
- Division of General Internal Medicine, Department of Internal Medicine, University of Texas Health Sciences Center, McGovern Medical School, Houston, TX, USA
| | - Shayan Shams
- Department of Health Data Science and Artificial Intelligence, McWilliams School of Biomedical Informatics, University of Texas Health Sciences Center at Houston, Houston, TX, USA.
- Department of Applied Data Science, San Jose State University, San Jose, CA, USA.
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21
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Broch L, Flemmen HØ, Simonsen CS, Berg-Hansen P, Ormstad H, Brunborg C, Celius EG. "No association between disease modifying treatment and fatigue in multiple sclerosis". Mult Scler Relat Disord 2023; 79:104993. [PMID: 37708819 DOI: 10.1016/j.msard.2023.104993] [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: 03/06/2023] [Revised: 08/06/2023] [Accepted: 09/03/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND Fatigue affects 60-90% of people with multiple sclerosis (MS). It reduces quality of life and the ability to work. The cause of fatigue in MS remains unknown. Several disease-modifying treatments (DMTs) slow the disease process in relapsing MS by suppressing neuroinflammation. We aimed to investigate if treatment with a DMT is associated with lower rates of fatigue. METHODS In this cross-sectional study of the MS population in three counties in Norway, we used the Fatigue Scale for Motor and Cognitive Functions (FSMC) and the Hospital Anxiety and Depression Scale (HADS) to assess patient-reported fatigue, anxiety and depression. Clinical data were retrieved from the electronic patient record system. We categorized DMTs as high-efficacy therapy or moderate-efficacy therapy. High-efficacy drugs included fingolimod, natalizumab, ocrelizumab, rituximab, alemtuzumab, daclizumab, and autologous hematopoietic stem cell transplantation. Moderate-efficacy drugs included interferons, glatiramer acetate, dimethyl fumarate, and teriflunomide. We included persons with relapsing MS only. RESULTS Of 1142 patients, 80% had fatigue. Fifty-six percent of the patients were on DMTs (25% on moderate-efficacy treatment and 30% on high-efficacy treatment), 18% had discontinued treatment and 26% had never received any DMT. Sex, level of disability as measured by the Multiple Sclerosis Severity Score, anxiety and depression were independently associated with fatigue. Moderate-efficacy treatment was associated with less fatigue, but not after adjustment for other variables. There was no association between high-efficacy treatment and fatigue. CONCLUSION We found no independent relationship between the use of disease-modifying treatment and fatigue in MS.
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Affiliation(s)
- Line Broch
- Department of Neurology, Vestre Viken Hospital Trust, Drammen, Norway; Department of Neurology, Oslo University Hospital, Norway; Institute of Clinical Medicine, University of Oslo, Norway.
| | | | | | | | | | - Cathrine Brunborg
- Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Norway
| | - Elisabeth Gulowsen Celius
- Department of Neurology, Oslo University Hospital, Norway; Institute of Clinical Medicine, University of Oslo, Norway
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22
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Åkesson J, Hojjati S, Hellberg S, Raffetseder J, Khademi M, Rynkowski R, Kockum I, Altafini C, Lubovac-Pilav Z, Mellergård J, Jenmalm MC, Piehl F, Olsson T, Ernerudh J, Gustafsson M. Proteomics reveal biomarkers for diagnosis, disease activity and long-term disability outcomes in multiple sclerosis. Nat Commun 2023; 14:6903. [PMID: 37903821 PMCID: PMC10616092 DOI: 10.1038/s41467-023-42682-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Accepted: 10/17/2023] [Indexed: 11/01/2023] Open
Abstract
Sensitive and reliable protein biomarkers are needed to predict disease trajectory and personalize treatment strategies for multiple sclerosis (MS). Here, we use the highly sensitive proximity-extension assay combined with next-generation sequencing (Olink Explore) to quantify 1463 proteins in cerebrospinal fluid (CSF) and plasma from 143 people with early-stage MS and 43 healthy controls. With longitudinally followed discovery and replication cohorts, we identify CSF proteins that consistently predicted both short- and long-term disease progression. Lower levels of neurofilament light chain (NfL) in CSF is superior in predicting the absence of disease activity two years after sampling (replication AUC = 0.77) compared to all other tested proteins. Importantly, we also identify a combination of 11 CSF proteins (CXCL13, LTA, FCN2, ICAM3, LY9, SLAMF7, TYMP, CHI3L1, FYB1, TNFRSF1B and NfL) that predict the severity of disability worsening according to the normalized age-related MS severity score (replication AUC = 0.90). The identification of these proteins may help elucidate pathogenetic processes and might aid decisions on treatment strategies for persons with MS.
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Affiliation(s)
- Julia Åkesson
- Bioinformatics, Department of Physics, Chemistry and Biology, Linköping University, 581 83, Linköping, Sweden
- Systems Biology Research Centre, School of Bioscience, University of Skövde, 541 28, Skövde, Sweden
| | - Sara Hojjati
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Sandra Hellberg
- Bioinformatics, Department of Physics, Chemistry and Biology, Linköping University, 581 83, Linköping, Sweden
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Johanna Raffetseder
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Mohsen Khademi
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska University Hospital, Karolinska Institute, 171 76, Stockholm, Sweden
| | - Robert Rynkowski
- Department of Neurology, and Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Ingrid Kockum
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska University Hospital, Karolinska Institute, 171 76, Stockholm, Sweden
| | - Claudio Altafini
- Division of Automatic Control, Department of Electrical Engineering, Linköping University, 581 83, Linköping, Sweden
| | - Zelmina Lubovac-Pilav
- Systems Biology Research Centre, School of Bioscience, University of Skövde, 541 28, Skövde, Sweden
| | - Johan Mellergård
- Department of Neurology, and Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Maria C Jenmalm
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Fredrik Piehl
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska University Hospital, Karolinska Institute, 171 76, Stockholm, Sweden
| | - Tomas Olsson
- Neuroimmunology Unit, Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska University Hospital, Karolinska Institute, 171 76, Stockholm, Sweden
| | - Jan Ernerudh
- Department of Clinical Immunology and Transfusion Medicine, and Department of Biomedical and Clinical Sciences, Linköping University, 581 83, Linköping, Sweden
| | - Mika Gustafsson
- Bioinformatics, Department of Physics, Chemistry and Biology, Linköping University, 581 83, Linköping, Sweden.
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23
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Petropoulos IN, John K, Al-Shibani F, Ponirakis G, Khan A, Gad H, Mahfoud ZR, Altarawneh H, Rehman MH, Al-Merekhi D, George P, Ibrahim F, Francis R, Canibano B, Deleu D, El-Sotouhy A, Vattoth S, Stettner M, Own A, Shuaib A, Akhtar N, Kamran S, Malik RA. Corneal immune cells as a biomarker of inflammation in multiple sclerosis: a longitudinal study. Ther Adv Neurol Disord 2023; 16:17562864231204974. [PMID: 37915502 PMCID: PMC10617262 DOI: 10.1177/17562864231204974] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 09/12/2023] [Indexed: 11/03/2023] Open
Abstract
Background Corneal immune cells (ICs) are antigen-presenting cells that are known to increase ocular and systemic inflammatory conditions. Objective We aimed to assess longitudinal changes in corneal IC in patients with multiple sclerosis (MS) and relation to disability and ongoing treatment. Design Prospective observational study conducted between September 2016 and February 2020. Methods Patients with relapsing-remitting MS (RRMS) (n = 45) or secondary progressive MS (SPMS) (n = 15) underwent corneal confocal microscopy (CCM) at baseline and 2-year follow-up for estimation of corneal IC density [dendritic cells with (DCF) (cells/mm2) or without nerve fiber contact (DCP); and non-dendritic cells with (NCF) or without nerve fiber contact (NCP)]. Optical coherence tomography, neuroimaging, and disability assessments were additionally performed. Healthy controls (n = 20) were assessed at baseline. Results In both RRMS and SPMS compared to controls, DCP (p < 0.001 and p < 0.001, respectively) and DCF (p < 0.001 and p = 0.005) were higher and NCF (p = 0.007 and p = 0.02) was lower at baseline. DCP showed excellent performance in identifying patients with MS (sensitivity/specificity = 0.88/0.90) followed by DCF (0.80/0.75) and NCF (0.80/0.85). At follow-up compared to baseline, DCP (p = 0.01) was significantly reduced, and NCP (p = 0.004) and NCF (p = 0.04) were increased. Subgroup analysis showed that baseline NCP and NCF were significantly higher (p = 0.04-0.05) in patients who switched disease-modifying treatment, and baseline NCP (p = 0.05) was higher in patients on interferon. Conclusion Baseline and change in corneal IC were related to axonal degeneration and treatment status. Evaluation of corneal IC using CCM may allow an assessment of ongoing inflammation, disease progression, and the effect of treatment in MS.
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Affiliation(s)
| | - Karen John
- Division of Research, Weill Cornell Medicine, Doha, Qatar
| | | | | | - Adnan Khan
- Division of Research, Weill Cornell Medicine, Doha, Qatar
| | - Hoda Gad
- Division of Research, Weill Cornell Medicine, Doha, Qatar
| | - Ziyad R. Mahfoud
- Division of Medical Education, Weill Cornell Medicine, Doha, Qatar
- Division of Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | | | | | | | - Pooja George
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Faiza Ibrahim
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Reny Francis
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | | | - Dirk Deleu
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | | | - Surjith Vattoth
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Mark Stettner
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Hospital Essen, Essen, Germany
| | - Ahmed Own
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Ashfaq Shuaib
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
- Department of Medicine, University of Alberta, Edmonton, Qatar
| | - Naveed Akhtar
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Saadat Kamran
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Rayaz A. Malik
- Weill Cornell Medicine-Qatar of Cornell University, Research Division, Qatar Foundation, Education City, Al-Luqta street, Doha 24144, Qatar
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24
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Krajnc N, Schmidbauer V, Leinkauf J, Haider L, Bsteh G, Kasprian G, Leutmezer F, Kornek B, Rommer PS, Berger T, Lassmann H, Dal-Bianco A, Hametner S. Paramagnetic rim lesions lead to pronounced diffuse periplaque white matter damage in multiple sclerosis. Mult Scler 2023; 29:1406-1417. [PMID: 37712486 PMCID: PMC10580674 DOI: 10.1177/13524585231197954] [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: 02/26/2023] [Revised: 07/27/2023] [Accepted: 07/31/2023] [Indexed: 09/16/2023]
Abstract
BACKGROUND Paramagnetic rim lesions (PRLs) are an imaging biomarker in multiple sclerosis (MS), associated with a more severe disease. OBJECTIVES To determine quantitative magnetic resonance imaging (MRI) metrics of PRLs, lesions with diffuse susceptibility-weighted imaging (SWI)-hypointense signal (DSHLs) and SWI-isointense lesions (SILs), their surrounding periplaque area (PPA) and the normal-appearing white matter (NAWM). METHODS In a cross-sectional study, quantitative MRI metrics were measured in people with multiple sclerosis (pwMS) using the multi-dynamic multi-echo (MDME) sequence post-processing software "SyMRI." RESULTS In 30 pwMS, 59 PRLs, 74 DSHLs, and 107 SILs were identified. Beside longer T1 relaxation times of PRLs compared to DSHLs and SILs (2030.5 (1519-2540) vs 1615.8 (1403.3-1953.5) vs 1199.5 (1089.6-1334.6), both p < 0.001), longer T1 relaxation times were observed in the PRL PPA compared to the SIL PPA and the NAWM but not the DSHL PPA. Patients with secondary progressive multiple sclerosis (SPMS) had longer T1 relaxation times in PRLs compared to patients with late relapsing multiple sclerosis (lRMS) (2394.5 (2030.5-3040) vs 1869.3 (1491.4-2451.3), p = 0.015) and also in the PRL PPA compared to patients with early relapsing multiple sclerosis (eRMS) (982 (927-1093.5) vs 904.3 (793.3-958.5), p = 0.013). CONCLUSION PRLs are more destructive than SILs, leading to diffuse periplaque white matter (WM) damage. The quantitative MRI-based evaluation of the PRL PPA could be a marker for silent progression in pwMS.
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Affiliation(s)
- Nik Krajnc
- Department of Neurology, Medical University of Vienna, Vienna, Austria/Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria/Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Victor Schmidbauer
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria/Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Joel Leinkauf
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria/Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Lukas Haider
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria/Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Gabriel Bsteh
- Department of Neurology, Medical University of Vienna, Vienna, Austria/Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Gregor Kasprian
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria/Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Fritz Leutmezer
- Department of Neurology, Medical University of Vienna, Vienna, Austria/Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Barbara Kornek
- Department of Neurology, Medical University of Vienna, Vienna, Austria/Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Paulus Stefan Rommer
- Department of Neurology, Medical University of Vienna, Vienna, Austria/Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Thomas Berger
- Department of Neurology, Medical University of Vienna, Vienna, Austria/Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Hans Lassmann
- Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Assunta Dal-Bianco
- Department of Neurology, Medical University of Vienna, Vienna, Austria/Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Simon Hametner
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria/Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
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25
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Čierny D, Dobrota D, Kantorová E, Malicherová B, Škereňová M, Javor J, Kurča E, Lehotský J. Analysis of Cdx2 VDR gene polymorphism rs11568820 in association with multiple sclerosis in Slovaks. Neurol Res 2023; 45:912-918. [PMID: 37581270 DOI: 10.1080/01616412.2023.2247195] [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: 03/31/2023] [Accepted: 08/06/2023] [Indexed: 08/16/2023]
Abstract
Vitamin D deficiency is involved in the pathogenesis of multiple sclerosis (MS), a severe autoimmune demyelinating disease of the central nervous system. The gene polymorphism Cdx-2 (rs11568820, G/A) seriously influences the trancriptional activity of the vitamin D receptor (VDR) that binds the vitamin D responsive elements of target genes including HLA-DRB1*15. The aim of the present study in Slovaks was to analyse the association of Cdx-2 variants with the risk of MS and disability progression, and to assess the DRB1*15:01 allele as a possible confounding factor. In total, 493 MS patients and 417 healthy controls were involved in this study. The genotyping of Cdx-2 was performed using restriction analysis; DRB1*15:01 positivity was determined by a high-resolution melting analysis of its surrogate marker rs3135388 (G/A). Our results did not prove any allelic association between Cdx-2 and a risk of MS (minor allele A - 0.181 in patients vs. 0.161 in controls, OR = 1.15, .95 CI = 0.90-1.47, p = 0.289). The logistic regression analysis, adjusted for sex and age, showed no differences in Cdx-2 genotype counts when using an additive, dominant or recessive genetic model (p = 0.351, 0.150, 0.240 respectively). The Cdx-2 variants were also not associated with disease disability progression, evaluated using the Multiple Sclerosis Severity Score. The HLA-DRB1*15:01 allele was found to strongly increase the risk of MS in our study (0.300 in patients vs. 0.101 in controls, OR = 3.83, .95 CI = 2.94-4.99, p = 1.016 × 10-26, dominant genetic model OR = 4.62, .95 CI = 3.40-6.26, p = 9.1 × 10-23). In summary, we found the Cdx-2 as a single genetic marker not to be associated with MS development or progression in Slovaks, independently of HLA-DRB1*15:01 status.
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Affiliation(s)
- Daniel Čierny
- Department of Clinical Biochemistry, Jessenius Faculty of Medicine, Comenius University in Bratislava and University Hospital Martin, Martin, Slovak Republic
| | - Dušan Dobrota
- Department of Clinical Biochemistry, Jessenius Faculty of Medicine, Comenius University in Bratislava and University Hospital Martin, Martin, Slovak Republic
| | - Ema Kantorová
- Clinic of Neurology, Jessenius Faculty of Medicine, Comenius University in Bratislava and University Hospital Martin, Martin, Slovak Republic
| | - Bibiana Malicherová
- Department of Clinical Biochemistry, Jessenius Faculty of Medicine, Comenius University in Bratislava and University Hospital Martin, Martin, Slovak Republic
| | - Mária Škereňová
- Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovak Republic
| | - Juraj Javor
- Department of Immunology, Faculty of Medicine, Comenius University in Bratislava, Bratislava, Slovak Republic
| | - Egon Kurča
- Clinic of Neurology, Jessenius Faculty of Medicine, Comenius University in Bratislava and University Hospital Martin, Martin, Slovak Republic
| | - Ján Lehotský
- Department of Medical Biochemistry and BioMed, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovak Republic
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Guglielmetti M, Al-Qahtani WH, Ferraris C, Grosso G, Fiorini S, Tavazzi E, Greco G, La Malfa A, Bergamaschi R, Tagliabue A. Adherence to Mediterranean Diet Is Associated with Multiple Sclerosis Severity. Nutrients 2023; 15:4009. [PMID: 37764792 PMCID: PMC10537892 DOI: 10.3390/nu15184009] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/07/2023] [Accepted: 09/13/2023] [Indexed: 09/29/2023] Open
Abstract
Currently available data suggest that the union of a balanced diet and an overall healthy lifestyle may determine an amelioration in several clinical parameters and in the quality of life for patients with MS (pwMS). The study objective was to investigate the possible difference in MS severity in a group of Italian patients with MS based on their adherence to Mediterranean Diet (MedDiet). Eating habits were collected through a validated 110-items Food Frequency Questionnaire, the Medi-Lite score was used for adherence to MedDiet evaluation. MS severity was graded according to Herbert's severity scale, based on the MSSS. 106 patients were classified in 3 groups according to their MedDiet adherence (low/medium/high). Higher adherence was associated with a 6.18 (95% CI: 1.44, 26.59) higher probability of having a mild-to-moderate MS. When studying the single constituents of the Medi-Lite score, none of them was individually associated with MS severity. It remains unclear whether effects of specific dietary components included in the MedDiet may impact the health status at disease onset or can slow down the symptoms due course of disease. Future studies are needed to reproduce our findings and should focus on answering the latter raised question.
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Affiliation(s)
- Monica Guglielmetti
- Human Nutrition and Eating Disorder Research Center, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (M.G.)
- Laboratory of Food Education and Sport Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
| | - Wahidah H. Al-Qahtani
- Department of Food Sciences & Nutrition, College of Food & Agriculture Sciences, King Saud University, Riyadh 11451, Saudi Arabia
| | - Cinzia Ferraris
- Human Nutrition and Eating Disorder Research Center, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (M.G.)
- Laboratory of Food Education and Sport Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
| | - Giuseppe Grosso
- Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy
| | - Simona Fiorini
- Human Nutrition and Eating Disorder Research Center, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (M.G.)
- Laboratory of Food Education and Sport Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy
| | | | | | | | | | - Anna Tagliabue
- Human Nutrition and Eating Disorder Research Center, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy; (M.G.)
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27
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Fan JH, Alexander J, Poole S, Wijangco J, Henson LJ, Dobson R, Guo CY, Bove R. Characteristics of multiple sclerosis and demyelinating disease in an Asian American population. Mult Scler 2023; 29:1216-1228. [PMID: 37548214 DOI: 10.1177/13524585231188486] [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] [Indexed: 08/08/2023]
Abstract
BACKGROUND Race and ancestry influence the course of multiple sclerosis (MS). OBJECTIVES Explore clinical characteristics of MS and neuromyelitis optica spectrum disorder (NMOSD) in Asian American patients. METHODS Chart review was performed for 282 adults with demyelinating disease who self-identified as Asian at a single North American MS center. Demographics and clinical characteristics were compared to non-Asian MS patients and by region of Asian ancestry. RESULTS Region of ancestry was known for 181 patients. Most (94.7%) preferred English, but fewer East Asian patients did (80%, p = 0.0001). South Asian patients had higher neighborhood household income (p = 0.002). Diagnoses included MS (76.2%) and NMOSD (13.8%). More patients with NMOSD than MS were East and Southeast Asian (p = 0.004). For MS patients, optic nerve and spinal cord involvement were similar across regions of ancestry. Asian MS patients were younger at symptom onset and diagnosis than non-Asian MS patients. MS Severity Scale scores were similar to non-Asian MS patients but worse among Southeast Asians (p = 0.006). CONCLUSIONS MS severity was similar between Asian American patients and non-Asian patients. Region of ancestry was associated with differences in sociodemographics and MS severity. Further research is needed to uncover genetic, socioeconomic, or environmental factors causing these differences.
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Affiliation(s)
- Jessica H Fan
- Department of Neurology, UCSF Weill Institute for Neuroscience, University of California San Francisco, San Francisco, CA, USA
- Department of Neurology, Kaiser Permanente, Oakland, CA, USA
| | - Jessa Alexander
- Department of Neurology, UCSF Weill Institute for Neuroscience, University of California San Francisco, San Francisco, CA, USA
| | - Shane Poole
- Department of Neurology, UCSF Weill Institute for Neuroscience, University of California San Francisco, San Francisco, CA, USA
| | - Jaeleene Wijangco
- Department of Neurology, UCSF Weill Institute for Neuroscience, University of California San Francisco, San Francisco, CA, USA
| | | | - Ruth Dobson
- Preventive Neurology Unit, Wolfson Institute of Population Health, Queen Mary University, London, UK
- Department of Neurology, Royal London Hospital, London, UK
| | - Chu-Yueh Guo
- Department of Neurology, UCSF Weill Institute for Neuroscience, University of California San Francisco, San Francisco, CA, USA
| | - Riley Bove
- Department of Neurology, UCSF Weill Institute for Neuroscience, University of California San Francisco, San Francisco, CA, USA
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Alshehri A, Al-iedani O, Koussis N, Khormi I, Lea R, Lechner-Scott J, Ramadan S. Stability of longitudinal DTI metrics in MS with treatment of injectables, fingolimod and dimethyl fumarate. Neuroradiol J 2023; 36:388-396. [PMID: 36395524 PMCID: PMC10588600 DOI: 10.1177/19714009221140511] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND AND PURPOSE Diffusion MRI (dMRI) is sensitive to microstructural changes in white matter of people with relapse-remitting multiple sclerosis (pw-RRMS) that lead to progressive disability. The role of diffusion in assessing the efficacy of different therapies requires more investigation. This study aimed to evaluate selected dMRI metrics in normal-appearing white matter and white matter-lesion in pw-RRMS and healthy controls longitudinally and compare the effect of therapies given. MATERIAL AND METHODS Structural and dMRI scans were acquired from 78 pw-RRMS (29 injectables, 36 fingolimod, 13 dimethyl fumarate) and 43 HCs at baseline and 2-years follow-up. Changes in dMRI metrics and correlation with clinical parameters were evaluated. RESULTS Differences were observed in most clinical parameters between pw-RRMS and HCs at both timepoints (p ≤ 0.01). No significant differences in average changes over time were observed for any dMRI metric between treatment groups in either tissue type. Diffusion metrics in NAWM and WML correlated negatively with most cognitive domains, while FA correlated positively at baseline but only for NAWM at follow-up (p ≤ 0.05). FA correlated negatively with disability in NAWM and WML over time, while MD and RD correlated positively only in NAWM. CONCLUSIONS This is the first DTI study comparing the effect of different treatments on dMRI parameters over time in a stable cohort of pw-RRMS. The results suggest that brain microstructural changes in a stable MS cohort are similar to HCs independent of the therapies used.
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Affiliation(s)
- Abdulaziz Alshehri
- School of Health Sciences, University of Newcastle College of Health, Medicine and Wellbeing, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Department of Radiology, Imam Abdulrahman Bin Faisal University King Fahd University Hospital, Dammam, Saudi Arabia
| | - Oun Al-iedani
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Biomedical Sciences and Pharmacy, University of Newcastle College of Health, Medicine and Wellbeing, Callaghan, NSW, Australia
| | - Nikitas Koussis
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Psychological Sciences, University of Newcastle College of Health, Medicine and Wellbeing, Callaghan, NSW, Australia
| | - Ibrahim Khormi
- School of Health Sciences, University of Newcastle College of Health, Medicine and Wellbeing, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- College of Applied Medical Sciences, University of Jeddah, Jeddah, Saudi Arabia
| | - Rodney Lea
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Jeannette Lechner-Scott
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Department of Neurology, John Hunter Hospital, New Lambton Heights, NSW, Australia
- School of Medicine and Public Health, University of Newcastle College of Health, Medicine and Wellbeing, Callaghan, NSW, Australia
| | - Saadallah Ramadan
- School of Health Sciences, University of Newcastle College of Health, Medicine and Wellbeing, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
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Almulla AF, Abdul Jaleel AKK, Abo Algon AA, Tunvirachaisakul C, Hassoun HK, Al-Hakeim HK, Maes M. Mood Symptoms and Chronic Fatigue Syndrome Due to Relapsing-Remitting Multiple Sclerosis Are Associated with Immune Activation and Aberrations in the Erythron. Brain Sci 2023; 13:1073. [PMID: 37509005 PMCID: PMC10377656 DOI: 10.3390/brainsci13071073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 07/06/2023] [Accepted: 07/13/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Multiple sclerosis (MS) is a chronic autoimmune and neuroinflammatory disease of the central nervous system characterized by peripheral activation of immune-inflammatory pathways which culminate in neurotoxicity causing demyelination of central neurons. Nonetheless, the pathophysiology of relapsing-remitting MS (RRMS)-related chronic fatigue, depression, anxiety, cognitive impairments, and autonomic disturbances is not well understood. OBJECTIVES The current study aims to delineate whether the remitted phase of RRMS is accompanied by activated immune-inflammatory pathways and if the latter, coupled with erythron variables, explain the chronic fatigue and mood symptoms due to RRMS. MATERIAL AND METHODS We recruited 63 MS patients, 55 in the remitted phase of RRMS and 8 with secondary progressive MS, and 30 healthy controls and assessed erythron variables, and used a bio-plex assay to measure 27 serum cytokines. RESULTS A significant proportion of the MS patients (46%) displayed activation of the immune-inflammatory response (IRS) and compensatory immune response (CIRS) systems, and T helper (Th)1 and Th17 cytokine profiles. Remitted RRMS patients showed increased chronic fatigue, depression, anxiety, physiosomatic, autonomic, and insomnia scores, which could partly be explained by M1 macrophage, Th1, Th-17, growth factor, and CIRS activation, as well as aberrations in the erythron including lowered hematocrit and hemoglobin levels. CONCLUSIONS Around 50% of remitted RRMS patients show activation of immune-inflammatory pathways in association with mood and chronic-fatigue-like symptoms. IRS and CIRS activation as well as the aberrations in the erythron are new drug targets to treat chronic fatigue and affective symptoms due to MS.
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Affiliation(s)
- Abbas F Almulla
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf 54001, Iraq
| | | | | | - Chavit Tunvirachaisakul
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Cognitive Impairment and Dementia Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | | | - Hussein K Al-Hakeim
- Department of Chemistry, College of Science, University of Kufa, Kufa 54002, Iraq
| | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Cognitive Impairment and Dementia Research Unit, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
- Department of Psychiatry, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria
- Research Institute, Medical University of Plovdiv, 4002 Plovdiv, Bulgaria
- University of Electronic Science and Technology of China, Chengdu 611731, China
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Temmerman J, Engelborghs S, Bjerke M, D’haeseleer M. Cerebrospinal fluid inflammatory biomarkers for disease progression in Alzheimer's disease and multiple sclerosis: a systematic review. Front Immunol 2023; 14:1162340. [PMID: 37520580 PMCID: PMC10374015 DOI: 10.3389/fimmu.2023.1162340] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 06/12/2023] [Indexed: 08/01/2023] Open
Abstract
Inflammatory processes are involved in the pathophysiology of both Alzheimer's disease (AD) and multiple sclerosis (MS) but their exact contribution to disease progression remains to be deciphered. Biomarkers are needed to define pathophysiological processes of these disorders, who may increasingly co-exist in the elderly generations of the future, due to the rising prevalence in both and ameliorated treatment options with improved life expectancy in MS. The purpose of this review was to provide a systematic overview of inflammatory biomarkers, as measured in the cerebrospinal fluid (CSF), that are associated with clinical disease progression. International peer-reviewed literature was screened using the PubMed and Web of Science databases. Disease progression had to be measured using clinically validated tests representing baseline functional and/or cognitive status, the evolution of such clinical scores over time and/or the transitioning from one disease stage to a more severe stage. The quality of included studies was systematically evaluated using a set of questions for clinical, neurochemical and statistical characteristics of the study. A total of 84 papers were included (twenty-five for AD and 59 for MS). Elevated CSF levels of chitinase-3-like protein 1 (YKL-40) were associated with disease progression in both AD and MS. Osteopontin and monocyte chemoattractant protein-1 were more specifically related to disease progression in AD, whereas the same was true for interleukin-1 beta, tumor necrosis factor alpha, C-X-C motif ligand 13, glial fibrillary acidic protein and IgG oligoclonal bands in MS. We observed a broad heterogeneity of studies with varying cohort characterization, non-disclosure of quality measures for neurochemical analyses and a lack of adequate longitudinal designs. Most of the retrieved biomarkers are related to innate immune system activity, which seems to be an important mediator of clinical disease progression in AD and MS. Overall study quality was limited and we have framed some recommendations for future biomarker research in this field. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42021264741.
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Affiliation(s)
- Joke Temmerman
- Vrije Universiteit Brussel, Center for Neurosciences (C4N), Jette, Brussels, Belgium
- Universiteit Antwerpen, Department of Biomedical Sciences and Institute Born-Bunge, Reference Center for Biological Markers of Dementia (BIODEM), Wilrijk, Antwerp, Belgium
- Universitair Ziekenhuis Brussel, Department of Neurology, Jette, Brussels, Belgium
| | - Sebastiaan Engelborghs
- Vrije Universiteit Brussel, Center for Neurosciences (C4N), Jette, Brussels, Belgium
- Universiteit Antwerpen, Department of Biomedical Sciences and Institute Born-Bunge, Reference Center for Biological Markers of Dementia (BIODEM), Wilrijk, Antwerp, Belgium
- Universitair Ziekenhuis Brussel, Department of Neurology, Jette, Brussels, Belgium
| | - Maria Bjerke
- Vrije Universiteit Brussel, Center for Neurosciences (C4N), Jette, Brussels, Belgium
- Universiteit Antwerpen, Department of Biomedical Sciences and Institute Born-Bunge, Reference Center for Biological Markers of Dementia (BIODEM), Wilrijk, Antwerp, Belgium
- Universitair Ziekenhuis Brussel, Department of Neurology, Jette, Brussels, Belgium
- Universitair Ziekenhuis Brussel, Department of Clinical Biology, Laboratory of Clinical Neurochemistry, Jette, Brussels, Belgium
| | - Miguel D’haeseleer
- Vrije Universiteit Brussel, Center for Neurosciences (C4N), Jette, Brussels, Belgium
- Universitair Ziekenhuis Brussel, Department of Neurology, Jette, Brussels, Belgium
- National MS Center (NMSC), Neurology, Melsbroek, Steenokkerzeel, Belgium
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31
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Fang X, Lu Y, Fu Y, Liu Z, Kermode AG, Qiu W, Ling L, Liu C. Cerebrospinal Fluid Chloride Is Associated with Disease Activity of Relapsing-Remitting Multiple Sclerosis: A Retrospective Cohort Study. Brain Sci 2023; 13:924. [PMID: 37371400 DOI: 10.3390/brainsci13060924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 05/27/2023] [Accepted: 06/04/2023] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND Blood-brain barrier dysfunction in active multiple sclerosis (MS) lesions leads to pathological changes in the cerebrospinal fluid (CSF). This study aimed to investigate the possible association between routine CSF findings, especially CSF chloride, at the time of the first lumbar puncture and the relapse risk and disability progression of relapsing-remitting MS (RRMS). METHODS This retrospective study included 77 patients with RRMS at the MS Center of our institution from January 2012 to December 2020. The Anderson and Gill (AG) model and Spearman correlation analysis were used to explore predictors of relapse and disability during follow-up. RESULTS In the multivariate AG model, patients with elevated CSF chloride level (hazard ratio [HR], 1.1; 95% confidence interval [CI]: 1.06-1.22; p = 0.001) had a high risk of MS relapse. Using median values of CSF chloride (123.2 mmol/L) as a cut-off, patients with CSF chloride level ≥ 123.2 mmol/L had a 120% increased relapse risk compared with those with CSF chloride level < 123.2 mmol/L (HR = 2.20; 95% CI: 1.19-4.05; p = 0.012). CONCLUSIONS Elevated CSF chloride levels might be a biologically unfavorable predictive factor for disease relapse in RRMS.
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Affiliation(s)
- Xingwei Fang
- Faculty of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Yaxin Lu
- Clinical Data Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Yongmei Fu
- Emergency Department, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Zifeng Liu
- Clinical Data Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Allan G Kermode
- Perron Institute, University of Western Australia, Nedlands, WA 6009, Australia
| | - Wei Qiu
- Neurology Department, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
| | - Li Ling
- Faculty of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
- Clinical Research Design Division, Clinical Research Centre, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Chunxin Liu
- Emergency Department, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China
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32
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Reyes-Mata MP, Mireles-Ramírez MA, Griñán-Ferré C, Pallàs M, Pavón L, Guerrero-García JDJ, Ortuño-Sahagún D. Global DNA Methylation and Hydroxymethylation Levels in PBMCs Are Altered in RRMS Patients Treated with IFN-β and GA-A Preliminary Study. Int J Mol Sci 2023; 24:ijms24109074. [PMID: 37240421 DOI: 10.3390/ijms24109074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 04/15/2023] [Accepted: 05/11/2023] [Indexed: 05/28/2023] Open
Abstract
Multiple sclerosis (MS) is a chronic disease affecting the central nervous system (CNS) due to an autoimmune attack on axonal myelin sheaths. Epigenetics is an open research topic on MS, which has been investigated in search of biomarkers and treatment targets for this heterogeneous disease. In this study, we quantified global levels of epigenetic marks using an ELISA-like approach in Peripheral Blood Mononuclear Cells (PBMCs) from 52 patients with MS, treated with Interferon beta (IFN-β) and Glatiramer Acetate (GA) or untreated, and 30 healthy controls. We performed media comparisons and correlation analyses of these epigenetic markers with clinical variables in subgroups of patients and controls. We observed that DNA methylation (5-mC) decreased in treated patients compared with untreated and healthy controls. Moreover, 5-mC and hydroxymethylation (5-hmC) correlated with clinical variables. In contrast, histone H3 and H4 acetylation did not correlate with the disease variables considered. Globally quantified epigenetic DNA marks 5-mC and 5-hmC correlate with disease and were altered with treatment. However, to date, no biomarker has been identified that can predict the potential response to therapy before treatment initiation.
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Affiliation(s)
- María Paulina Reyes-Mata
- Laboratorio de Neuroinmunobiología Molecular, Instituto de Investigación en Ciencias Biomédicas (IICB), Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara, Guadalajara 44340, Mexico
| | - Mario Alberto Mireles-Ramírez
- Unidad Médica de Alta Especialidad (UMAE), Hospital de Especialidades (HE), Centro Médico Nacional de Occidente (CMNO), IMSS, Guadalajara 44340, Mexico
| | - Christian Griñán-Ferré
- Pharmacology Section, Department of Pharmacology, Toxicology and Therapeutic Chemistry, Faculty of Pharmacy and Food Sciences, Institute of Neuroscience, Universitat de Barcelona, 08028 Barcelona, Spain
- CiberNed, Network Center for Neurodegenerative Diseases, National Spanish Health Institute Carlos III, 28220 Madrid, Spain
| | - Mercè Pallàs
- Pharmacology Section, Department of Pharmacology, Toxicology and Therapeutic Chemistry, Faculty of Pharmacy and Food Sciences, Institute of Neuroscience, Universitat de Barcelona, 08028 Barcelona, Spain
- CiberNed, Network Center for Neurodegenerative Diseases, National Spanish Health Institute Carlos III, 28220 Madrid, Spain
| | - Lenin Pavón
- Laboratorio de Psicoinmunología, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City 14370, Mexico
| | - José de Jesús Guerrero-García
- Banco de Sangre Central, Unidad Médica de Alta Especialidad (UMAE), Hospital de Especialidades (HE), Centro Médico Nacional de Occidente (CMNO), IMSS, Guadalajara 44340, Mexico
- Departamento de Farmacobiología, Centro Universitario de Ciencias Exactas e Ingenierías (CUCEI), Universidad de Guadalajara, Guadalajara 44340, Mexico
| | - Daniel Ortuño-Sahagún
- Laboratorio de Neuroinmunobiología Molecular, Instituto de Investigación en Ciencias Biomédicas (IICB), Centro Universitario de Ciencias de la Salud (CUCS), Universidad de Guadalajara, Guadalajara 44340, Mexico
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33
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Alrouji M, Manouchehrinia A, Aram J, Alotaibi A, Alhajlah S, Almuhanna Y, Alomeir O, Shamsi A, Gran B, Constantinescu CS. Investigating the Effect of Cigarette Smoking on Serum Uric Acid Levels in Multiple Sclerosis Patients: A Cross Sectional Study. Brain Sci 2023; 13:brainsci13050800. [PMID: 37239272 DOI: 10.3390/brainsci13050800] [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: 03/08/2023] [Revised: 05/01/2023] [Accepted: 05/02/2023] [Indexed: 05/28/2023] Open
Abstract
OBJECTIVES The present study is aimed at determining the effect of cigarette smoking (CS) on serum uric acid (UA) levels quantitatively before and after smoking cessation among people with MS (pwMS). Additionally, a possible correlation between UA levels and both disability progression and disease severity was also investigated. A retrospective cross-sectional study was conducted using the Nottingham University Hospitals MS Clinics database. It involves 127 people with definite MS recorded when reporting the latest smoking status and the clinical diagnosis. All necessary demographics and clinical characteristics were collected. We found that smoker pwMS had significantly lower serum UA levels than non-smoker pwMS (p-value = 0.0475), and this reduction was recovered after smoking cessation (p-value = 0.0216). However, the levels of disability or disease severity were not correlated with the levels of serum UA in current smoker pwMS, measured by the expanded disability status scale (EDSS; r = -0.24; p-value = 0.38), multiple sclerosis impact scale 29 (MSIS-29; r = 0.01; p-value = 0.97) and MS severity score (MSSS; r = -0.16; p-value = 0.58), respectively. Our result suggests that the reduction in UA levels is more likely a consequence of oxidative stress triggered by many risk factors, including CS, and could be considered a potential indicator of smoking cessation. In addition, the absence of a correlation between UA levels and disease severity and disability suggests that UA is not an optimal biomarker for disease severity and disability prediction among current smoker, ex-smoker or non-smoker pwMS.
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Affiliation(s)
- Mohammed Alrouji
- Clinical Neurosciences Group, Shaqra University, Shaqra 11961, Saudi Arabia
- Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK
- Department of Clinical Medical Laboratories, College of Applied Medical Sciences, Shaqra University, Sahqra 11961, Saudi Arabia
| | - Ali Manouchehrinia
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Solna, Sweden
| | - Jehan Aram
- Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK
| | - Abdulmajeed Alotaibi
- Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK
- College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh 14611, Saudi Arabia
| | - Sharif Alhajlah
- Clinical Neurosciences Group, Shaqra University, Shaqra 11961, Saudi Arabia
| | - Yasir Almuhanna
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Shaqra University, Shaqra 11961, Saudi Arabia
| | - Othman Alomeir
- Clinical Neurosciences Group, Shaqra University, Shaqra 11961, Saudi Arabia
- Department of Pharmacy Practice, College of Pharmacy, Shaqra University, Shaqra 11961, Saudi Arabia
| | - Anas Shamsi
- Centre of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman 346, United Arab Emirates
| | - Bruno Gran
- Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK
- Department of Neurology, Nottingham University Hospitals NHS Trust, Nottingham NG7 2UH, UK
| | - Cris S Constantinescu
- Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK
- Department of Neurology, Nottingham University Hospitals NHS Trust, Nottingham NG7 2UH, UK
- Cooper University Hospital, Cooper Neurological Institute, Camden, NJ 08103, USA
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Huang J, Liang Y, Shan Y, Zhao C, Li Q, Shen Z, Dong H, Qi Z, Lu J. Altered amide proton transfer weighted and diffusion signals in patients with multiple sclerosis: correlation with neurofilament light chain and disease duration. Front Neurosci 2023; 17:1137176. [PMID: 37179547 PMCID: PMC10166796 DOI: 10.3389/fnins.2023.1137176] [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: 01/04/2023] [Accepted: 04/03/2023] [Indexed: 05/15/2023] Open
Abstract
Objectives To compare the signal alterations of amide proton transfer (APT), apparent diffusion coefficient (ADC), and fractional anisotropy (FA) in white matter (WM) lesions in multiple sclerosis (MS), compared with healthy controls (HCs), and to investigate the relationships between these changes and clinical measurements such as serum neurofilament light chain (sNfL). Materials and methods Twenty-nine patients with relapsing-remitting MS (21 females and 8 males) and 30 HCs (23 females and 7 males) were recruited. APT-weighted (APTw) and diffusion tensor imaging (DTI) data were acquired using a 3.0-T magnetic resonance system. APTw and DTI images were registered to FLAIR-SPIR images and assessed by two neuroradiologists. MTRasym (3.5 ppm), ADC, FA values for MS and HC are calculated using mean values from all regions of interest (ROI). The ROI criteria were: (1) for MS patients, ROI were defined as MS lesions, and each lesion was identified. (2) The WM around each HC's lateral ventricle (frontal lobe, parietal lobe, and centrum semiovale) was assessed bilaterally. The diagnostic efficacy of MTRasym (3.5 ppm), ADC, and FA in the lesions of MS patients was compared using receiver operating characteristic (ROC) curve analysis. The associations between MTRasym (3.5 ppm), ADC, and FA values and the clinical measurements were investigated further. Results The MTRasym (3.5 ppm) and ADC values of brain lesions were increased, while FA values were decreased in patients with MS. The diagnostic area under curve (AUC) of MTRasym (3.5 ppm), ADC, and FA value was 0.891 (95% CI: 0.813, 0.970), 0.761 (95% CI: 0.647, 0.875) and 0.970 (95% CI: 0.924, 1.0), respectively. sNfL was considerably positively correlated with MTRasym (3.5 ppm) (P = 0.043, R = 0.38) and disease durations were significantly negatively correlated with FA (P = 0.046, R = -0.37). Conclusion Amide proton transfer-weighted (APTw) and DTI are potential imaging methods for assessing brain lesions in patients with MS at the molecular and microscopic levels, respectively. The association between APTw, DTI parameters and clinical factors implies that they may play a role in disease damage monitoring.
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Affiliation(s)
- Jing Huang
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China
| | - Yan Liang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yi Shan
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China
| | - Cheng Zhao
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China
| | - Qiongge Li
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China
| | | | - Huiqing Dong
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Zhigang Qi
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China
| | - Jie Lu
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Capital Medical University, Beijing, China
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Astbury L, Kalra S, Tanasescu R, Constantinescu CS. CSF lymphocytic pleocytosis does not predict a less favourable long-term prognosis in MS. J Neurol 2023; 270:2042-2047. [PMID: 36565347 PMCID: PMC10025177 DOI: 10.1007/s00415-022-11521-0] [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: 11/27/2022] [Accepted: 12/06/2022] [Indexed: 12/25/2022]
Abstract
OBJECTIVE The role of CSF lymphocytic pleocytosis in predicting the clinical outcome of multiple sclerosis is unclear. We explored the impact of CSF pleocytosis at diagnosis on long-term disease progression in a large UK cohort. METHODS We extracted demographic, clinical and CSF data of people with MS attending the MS clinics between 1996 and 2014 at two MS centres from the English Midlands. We compared EDSS at onset, follow up EDSS and progression indices Multiple Sclerosis Severity Score (MSSS), annualized change in EDSS and transition to secondary progression in the presence/absence of pleocytosis. Two-tailed student t-test, Mann-Whitney U test, Chi-Square or Fisher's exact tests were used for detecting the differences. RESULTS A total of 247 patients with MS (178 females; mean age 42.4; 217 with relapsing onset) were followed up for an average of 13.56 years (median 12 years). Almost 18% had lymphocytic CSF ≥ 5 per microliter. CSF pleocytosis was not associated with higher EDSS at the time of LP or at follow up, and other progression indices like MSSS, annualized change in EDSS or transition to secondary progression. DISCUSSION CSF pleocytosis at MS diagnosis does not predict higher long-term disability and has no long-term prognostic value in routine clinical circumstances. Differences between MS populations and potential differences in disease activity at the time of CSF analysis may account for differences between studies.
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Affiliation(s)
- Lauren Astbury
- Academic Unit of Mental Health and Clinical Neuroscience, Section of Clinical Neurology, University of Nottingham, Nottingham Centre for MS and Neuroinflammation, Nottingham University Hospitals QMC, Nottingham, NG7 2UH, UK
| | - Seema Kalra
- University Hospitals of North Midlands NHS Trust, Royal Stoke MS Centre of Excellence, Stoke On Trent, UK
| | - Radu Tanasescu
- Academic Unit of Mental Health and Clinical Neuroscience, Section of Clinical Neurology, University of Nottingham, Nottingham Centre for MS and Neuroinflammation, Nottingham University Hospitals QMC, Nottingham, NG7 2UH, UK
| | - Cris S Constantinescu
- Academic Unit of Mental Health and Clinical Neuroscience, Section of Clinical Neurology, University of Nottingham, Nottingham Centre for MS and Neuroinflammation, Nottingham University Hospitals QMC, Nottingham, NG7 2UH, UK.
- Cooper University Hospital, Cooper Neurological Institute, Cooper Medical School at Rowan University, Camden, NJ, 08103, USA.
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Can Demirdöğen B, Kiliç OO, Yilmaz AA, Mungan S, Neşelioğlu S, Erel Ö. Neurocognitive impairment in multiple sclerosis and its association with thiol-disulfide homeostasis and ischemia-modified albumin. J Neurosci Res 2023; 101:508-523. [PMID: 36602284 DOI: 10.1002/jnr.25163] [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: 06/17/2022] [Revised: 12/05/2022] [Accepted: 12/15/2022] [Indexed: 01/06/2023]
Abstract
This study aimed to assess the possible association between cognitive impairment and two important biochemical biomarkers of oxidative stress, thiol-disulfide homeostasis (TDH), and ischemia-modified albumin (IMA) in patients with multiple sclerosis (MS). This study included 85 patients with MS (38 treatment-naïve relapsing-remitting MS (RRMS), 31 RRMS on fingolimod therapy, and 16 secondary progressive MS (SPMS)) and 33 healthy controls. Cognitive evaluation was carried out by applying the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) test battery and the scores were adjusted for age and years of education. Plasma TDH was assessed using an automated method and plasma IMA levels were determined using the cobalt-albumin binding assay. Plasma native thiol and total thiol levels were significantly decreased in patients with SPMS when compared with the naïve patients and healthy controls. Cognitive impairment was detected in 47.4% of naïve patients, 64.5% of patients on fingolimod therapy, and 80% of patients with SPMS. Naïve patients or patients on fingolimod therapy who were cognitively impaired had significantly decreased levels of native thiol and total thiol compared to the cognitively normal patients. Logistic regression analysis revealed total thiol and native thiol to be significantly associated with cognitive impairment in naïve patients and patients on fingolimod therapy. Significant correlations were determined between BICAMS scores, TDH, IMA, clinical indices of disease severity (EDSS and MSSS), and magnetic resonance imaging parameters. This study has shown for the first time that plasma TDH parameters are associated with cognitive impairment in MS.
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Affiliation(s)
- Birsen Can Demirdöğen
- Department of Biomedical Engineering, TOBB University of Economics and Technology, Ankara, Turkey
| | - Osman Oğuzhan Kiliç
- Department of Biomedical Engineering, TOBB University of Economics and Technology, Ankara, Turkey
| | - Ata Ayhan Yilmaz
- Department of Biomedical Engineering, TOBB University of Economics and Technology, Ankara, Turkey
| | - Semra Mungan
- Neurology Clinic, Ankara City Hospital, Ankara, Turkey
| | - Salim Neşelioğlu
- Department of Biochemistry, Faculty of Medicine, Yildirim Beyazit University, Ankara, Turkey
| | - Özcan Erel
- Department of Biochemistry, Faculty of Medicine, Yildirim Beyazit University, Ankara, Turkey
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Changes in Retinal Thickness and Brain Volume during 6.8-Year Escalating Therapy for Multiple Sclerosis. Acta Neurol Scand 2023. [DOI: 10.1155/2023/7587221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/09/2023]
Abstract
Background. Different disease-modifying therapies (DMT) for multiple sclerosis (MS) have disparate effects on disability outcomes. Sweden has a leading position globally in initiating high-efficacy DMT instead of escalating DMT from 1st-line to high-efficacy DMT. With optical coherence tomography (OCT), retinal changes can be measured at a few micrometer level. OCT has been increasingly applied in diagnosing MS and monitoring disease course and therapeutic effect. Objective. We investigate the effects of 1st-line versus high-efficacy DMT for MS on retinal and brain atrophy and on functional outcomes during 6.8 years of escalating DMT. Materials and Methods. In this prospective longitudinal observational study, 18 MS patients were followed up for 6.8 years. Twelve of the patients were untreated at baseline. All patients underwent 1st-line DMT for median duration of 2.4 years and then switched to high-efficacy DMT for a median duration of 2.9 years. Findings from neurological examinations, MRI, and OCT measures were registered 2-4 times per year. Results. Ganglion cell-inner plexiform layer (GCIPL) thickness was significantly reduced during 1st-line DMT (73.75 μm,
) compared to baseline (76.38 μm). During high-efficacy DMT, thickness reduction was slower (73.27 μm,
), and MRI contrast-loading lesions vanished (
). However, brain parenchymal fraction (BPF) decreased during high-efficacy DMT compared to 1st-line DMT. Estimated models showed similar results. Conclusion. GCIPL decline was most profound during 1st-line DMT and diminished during high-efficacy DMT. MRI contrast lesions vanished during high-efficacy DMT. However, brain atrophy continued regardless of high-efficacy DMT.
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Hradilek P, Revendova KZ, Horakova J, Bunganic R, Pelisek O, Zeman D, Hanzlikova P, Kusnierova P. Cerebrospinal fluid neurofilament light chains and CXCL13 as predictive factors for clinical course of multiple sclerosis. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub 2023; 167:30-35. [PMID: 36695545 DOI: 10.5507/bp.2023.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 01/05/2023] [Indexed: 01/26/2023] Open
Abstract
AIM The aim of this study was to identify whether NfL and CXCL13 cerebrospinal fluid (CSF) concentrations at diagnostic lumbar puncture can predict the course of multiple sclerosis (MS) in terms of relapses, higher expanded disability status scale (EDSS) and magnetic resonance imaging (MRI) activity. METHODS We conducted a single-centre prospective observational cohort study at the MS center, University Hospital Ostrava, Czech Republic. CSF NfL (cNfL) and CXCL13 concentrations were examined (ELISA method) in patients with clinically isolated syndrome (CIS) and relapsing-remitting MS (RRMS) at the time of diagnostic lumbar puncture. RESULTS A total of 44 patients with CIS or early RRMS were enrolled, 31 (70.5%) of whom were women. The median age at the time of CSF sampling was 31.21 years (IQR 25.43-39.32), and the follow-up period was 54.6 months (IQR 44.03-59.48). In the simple and multiple logistic regression models, CXCL13 levels did not predict relapses, MRI activity or EDSS > 2.5. Similarly, cNfL concentrations did not predict relapses or MRI activity in either model. In the multiple regression, higher cNfL levels were associated with reaching EDSS > 2.5 (odds ratio [OR] 1.002, 95% confidence interval [CI] 1.000 to 1.003). CONCLUSIONS Our data did not confirm cNfL and/or CXCL13 CSF levels were predictive factors for disease activity such as relapses and MRI activity at the time of diagnostic lumbar puncture in patients with RRMS. While cNfL CSF levels predicted higher disability only after adjustment for other known risk factors, elevated CSF CXCL13 did not predict higher disability at all.
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Affiliation(s)
- Pavel Hradilek
- Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.,Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Kamila Zondra Revendova
- Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.,Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Jana Horakova
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Radovan Bunganic
- Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.,Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Ondrej Pelisek
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - David Zeman
- Department of Laboratory Medicine, University Hospital Brno, Brno, Czech Republic
| | - Pavla Hanzlikova
- Department of Imaging Methods, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | - Pavlina Kusnierova
- Department of Clinical Biochemistry, Institute of Laboratory Medicine, University Hospital Ostrava, Ostrava, Czech Republic.,Institute of Laboratory Medicine, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
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Rispoli MG, D'Apolito M, Pozzilli V, Tomassini V. Lessons from immunotherapies in multiple sclerosis. HANDBOOK OF CLINICAL NEUROLOGY 2023; 193:293-311. [PMID: 36803817 DOI: 10.1016/b978-0-323-85555-6.00013-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
The improved understanding of multiple sclerosis (MS) neurobiology alongside the development of novel markers of disease will allow precision medicine to be applied to MS patients, bringing the promise of improved care. Combinations of clinical and paraclinical data are currently used for diagnosis and prognosis. The addition of advanced magnetic resonance imaging and biofluid markers has been strongly encouraged, since classifying patients according to the underlying biology will improve monitoring and treatment strategies. For example, silent progression seems to contribute significantly more than relapses to overall disability accumulation, but currently approved treatments for MS act mainly on neuroinflammation and offer only a partial protection against neurodegeneration. Further research, involving traditional and adaptive trial designs, should strive to halt, repair or protect against central nervous system damage. To personalize new treatments, their selectivity, tolerability, ease of administration, and safety must be considered, while to personalize treatment approaches, patient preferences, risk-aversion, and lifestyle must be factored in, and patient feedback used to indicate real-world treatment efficacy. The use of biosensors and machine-learning approaches to integrate biological, anatomical, and physiological parameters will take personalized medicine a step closer toward the patient's virtual twin, in which treatments can be tried before they are applied.
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Affiliation(s)
- Marianna G Rispoli
- Institute for Advanced Biomedical Technologies (ITAB) and Department of Neurosciences, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; MS Centre, SS. Annunziata University Hospital, Chieti, Italy
| | - Maria D'Apolito
- Institute for Advanced Biomedical Technologies (ITAB) and Department of Neurosciences, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; MS Centre, SS. Annunziata University Hospital, Chieti, Italy
| | - Valeria Pozzilli
- Institute for Advanced Biomedical Technologies (ITAB) and Department of Neurosciences, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; MS Centre, SS. Annunziata University Hospital, Chieti, Italy
| | - Valentina Tomassini
- Institute for Advanced Biomedical Technologies (ITAB) and Department of Neurosciences, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; MS Centre, SS. Annunziata University Hospital, Chieti, Italy.
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Petropoulos IN, Al-Shibani F, Bitirgen G, Ponirakis G, Khan A, Gad H, Mahfoud ZR, Altarawneh H, Rehman MH, John K, Al-Merekhi D, George P, Uca AU, Ozkagnici A, Ibrahim F, Francis R, Canibano B, Deleu D, El-Sotouhy A, Vattoth S, Own A, Shuaib A, Akhtar N, Kamran S, Malik RA. Corneal axonal loss as an imaging biomarker of neurodegeneration in multiple sclerosis: a longitudinal study. Ther Adv Neurol Disord 2023; 16:17562864221118731. [PMID: 36776530 PMCID: PMC9909084 DOI: 10.1177/17562864221118731] [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: 03/09/2022] [Accepted: 07/23/2022] [Indexed: 02/09/2023] Open
Abstract
Background Resourceful endpoints of axonal loss are needed to predict the course of multiple sclerosis (MS). Corneal confocal microscopy (CCM) can detect axonal loss in patients with clinically isolated syndrome and established MS, which relates to neurological disability. Objective To assess corneal axonal loss over time in relation to retinal atrophy, and neurological and radiological abnormalities in MS. Methods Patients with relapsing-remitting (RRMS) (n = 68) or secondary progressive MS (SPMS) (n = 15) underwent CCM and optical coherence tomography. Corneal nerve fibre density (CNFD-fibres/mm2), corneal nerve branch density (CNBD-branches/mm2), corneal nerve fibre length (CNFL-mm/mm2) and retinal nerve fibre layer (RNFL-μm) thickness were quantified along with neurological and radiological assessments at baseline and after 2 years of follow-up. Age-matched, healthy controls (n = 20) were also assessed. Results In patients with RRMS compared with controls at baseline, CNFD (p = 0.004) and RNFL thickness (p < 0.001) were lower, and CNBD (p = 0.003) was higher. In patients with SPMS compared with controls, CNFD (p < 0.001), CNFL (p = 0.04) and RNFL thickness (p < 0.001) were lower. For identifying RRMS, CNBD had the highest area under the receiver operating characteristic (AUROC) curve (0.99); and for SPMS, CNFD had the highest AUROC (0.95). At follow-up, there was a further significant decrease in CNFD (p = 0.04), CNBD (p = 0.001), CNFL (p = 0.008) and RNFL (p = 0.002) in RRMS; in CNFD (p = 0.04) and CNBD (p = 0.002) in SPMS; and in CNBD (p = 0.01) in SPMS compared with RRMS. Follow-up corneal nerve loss was greater in patients with new enhancing lesions and optic neuritis history. Conclusion Progressive corneal and retinal axonal loss was identified in patients with MS, especially those with more active disease. CCM may serve as an imaging biomarker of axonal loss in MS.
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Affiliation(s)
| | - Fatima Al-Shibani
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | - Gulfidan Bitirgen
- Department of Ophthalmology, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey
| | - Georgios Ponirakis
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | - Adnan Khan
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | - Hoda Gad
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | - Ziyad R. Mahfoud
- Division of Medical Education, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar,Division of Epidemiology, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Heba Altarawneh
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | | | - Karen John
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | - Dhabia Al-Merekhi
- Division of Research, Weill Cornell Medicine–Qatar of Cornell University, Doha, Qatar
| | - Pooja George
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Ali Ulvi Uca
- Department of Neurology, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey
| | - Ahmet Ozkagnici
- Department of Neurology, Meram Faculty of Medicine, Necmettin Erbakan University, Konya, Turkey
| | - Faiza Ibrahim
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Reny Francis
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | | | - Dirk Deleu
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | | | - Surjith Vattoth
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Ahmed Own
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Ashfaq Shuaib
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
| | - Naveed Akhtar
- Neuroscience Institute, Hamad Medical Corporation, Doha, Qatar
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Discontinuation of disease-modifying therapy in MS patients over 60 years old and its impact on relapse rate and disease progression. Clin Neurol Neurosurg 2023; 225:107612. [PMID: 36701940 DOI: 10.1016/j.clineuro.2023.107612] [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: 08/15/2021] [Revised: 11/28/2022] [Accepted: 01/21/2023] [Indexed: 01/24/2023]
Abstract
BACKGROUND / AIMS The benefit of disease-modifying therapy (DMT) is unclear for older patients with multiple sclerosis (MS), namely those who have not experienced clinical disease activity for a prolonged time. We aimed to compare baseline differences and clinical outcomes between DMT discontinuers and continuers in a cohort of MS patients older than 60 years. METHODS Retrospective, observational study identifying MS patients aged over 60 years, stable on DMT> 24 months. Additional inclusion criteria were a previous diagnosis of relapsing MS and a minimum follow-up period of 24 months. Differences between groups (continuers/discontinuers) were assessed. For risk of relapse and of confirmed disability worsening at follow up, a time to outcome survival model was constructed using Cox proportional hazards regression, testing for possible risk predictors. RESULTS Thirty-five patients were included (68.6% female), with a mean age at diagnosis of 42.1 ( ± 9.5) years and a median EDSS score of 3 (IQR 2) at the age of 60 years (baseline). Thirteen patients discontinued DMT after baseline, in a mean follow-up time of 77.1 months ( ± 40.2). No differences were found between DMT continuers vs discontinuers. DMT discontinuation did not predict risk to relapse (HR 0.38, 95%CI 0.04-3.80, p = 0.408) or disability worsening at follow-up (HR 0.83, 95%CI 0.31-2.22, p = 0.712). MRI gadolinium-enhancing lesions and EDSS score > 3 at baseline were found to be independent predictors of risk to relapse and disability worsening at follow-up, respectively. CONCLUSION DMT discontinuation did not seem to influence clinical outcome, equating with the perceived limited effect of continued immunomodulation on older stable and/or progressive patients.
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Tanaka E, Watanabe M, Fukumoto S, Masaki K, Yamasaki R, Matsushita T, Isobe N. Effect of smoking on disease activity in multiple sclerosis patients treated with dimethyl fumarate or fingolimod. Mult Scler Relat Disord 2023; 70:104513. [PMID: 36689892 DOI: 10.1016/j.msard.2023.104513] [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: 06/15/2022] [Revised: 11/22/2022] [Accepted: 01/09/2023] [Indexed: 01/12/2023]
Abstract
BACKGROUND In relapsing-remitting multiple sclerosis (RRMS), smoking is a known risk factor for disease susceptibility and disability progression. However, its impact on the efficacy of oral disease-modifying drugs (DMDs) is unclear. Therefore, we initiated a single-center, retrospective, observational study to investigate the relationship between smoking and disease activity in RRMS patients under oral DMDs. METHODS We retrospectively enrolled RRMS patients who initiated oral DMDs (fingolimod or dimethyl fumarate) at our hospital between January 2012 and December 2019. Clinical data and smoking status at oral DMD initiation were collected up to December 2020. We conducted survival analyses for relapse and any disease activity, defined as relapse or MRI disease activity, among patients with distinct smoking statuses. RESULTS We enrolled 103 RRMS patients under oral DMDs including 19 (18.4%) current smokers at baseline. Proportions of relapses and any disease activity during follow-up were higher in current smokers (relapse: p = 0.040, any disease activity: p = 0.004) and time from initiating oral DMDs to relapse was shorter in current smokers (log-rank test: p = 0.011; Cox proportional hazard analysis: hazard ratio (HR) 2.72 [95% confidence interval (CI) 1.22-6.09], p = 0.015) than in non-smokers. Time from initiating oral DMDs to any disease activity was also shorter in current smokers (log-rank test: p = 0.016; Cox proportional hazard analysis: HR 2.18 [95% CI 1.14-4.19], p = 0.019) than in non-smokers. The survival curves for relapse and any disease activity were not different between the former smoker and never-smoker groups. Multivariate survival analysis showed current smoking was an independent risk factor for relapse or any disease activity after adjusting for covariates (relapse: HR 2.54 [95% CI 1.06-6.10], p = 0.037; any disease activity: HR 3.47 [95% CI 1.27-9.50], p = 0.015). CONCLUSION Smoking was a risk factor for disease activity in RRMS patients under oral DMD treatment. RRMS patients should be advised to stop smoking even after the initiation of DMDs.
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Affiliation(s)
- Eizo Tanaka
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Mitsuru Watanabe
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Shoko Fukumoto
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Katsuhisa Masaki
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Ryo Yamasaki
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Takuya Matsushita
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Noriko Isobe
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.
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Guglielmetti M, Grosso G, Ferraris C, Bergamaschi R, Tavazzi E, La Malfa A, Wahidah HAQ, Tagliabue A. Ultra-processed foods consumption is associated with multiple sclerosis severity. Front Neurol 2023; 14:1086720. [PMID: 36761349 PMCID: PMC9902937 DOI: 10.3389/fneur.2023.1086720] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 01/04/2023] [Indexed: 01/25/2023] Open
Abstract
Background MS is a chronic inflammatory neurological and immune-mediated disease of multifactorial etiology. Ultra-processed foods (UPFs) have been generally considered unhealthy due to their poor nutritional value. Emerging evidence suggests that factors other than their nutritional content may play an additional role toward chronic inflammation. Aim To investigate the potential association of UPF consumption and MS severity in a group of MS Italian consecutive patients. Methods Demographic (age, sex, marital status, educational level), neurological (EDSS, MSSS), and nutritional (anthropometric measures, dietary habits) information were collected. Physical activity and smoking habits were also investigated. Food items were grouped according to the NOVA classification. Patients were classified in two groups based on MS severity ("mild" and "moderate to high"). Results Higher UPF consumption was associated with moderate-to-high MS severity compared to lower consumption in both the unadjusted model (OR = 2.28, 95% CI: 1.04-5.01) and after adjustment for potential background (OR = 2.46, 95% CI: 1.04-5.83) and clinical confounding factors (OR = 2.97, 95% CI: 1.13-7.77). Conclusions Although these results are only preliminary and hypothesis generating, it is important to explore how various aspects of the diet may relate to MS severity in order to identify the best strategy to support MS patients over the disease course.
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Affiliation(s)
- Monica Guglielmetti
- Department of Public Health, Experimental and Forensic Medicine, Human Nutrition and Eating Disorder Research Center, University of Pavia, Pavia, Italy,Laboratory of Food Education and Sport Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy,*Correspondence: Monica Guglielmetti ✉
| | - Giuseppe Grosso
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy,Center for Human Nutrition and Mediterranean Foods (NUTREA), University of Catania, Catania, Italy
| | - Cinzia Ferraris
- Department of Public Health, Experimental and Forensic Medicine, Human Nutrition and Eating Disorder Research Center, University of Pavia, Pavia, Italy,Laboratory of Food Education and Sport Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, Pavia, Italy
| | | | - Eleonora Tavazzi
- Neurological Institute-Foundation IRCCS Casimiro Mondino, Pavia, Italy
| | | | - H. Al-Qahtani Wahidah
- Department of Food Sciences and Nutrition, College of Food and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Anna Tagliabue
- Department of Public Health, Experimental and Forensic Medicine, Human Nutrition and Eating Disorder Research Center, University of Pavia, Pavia, Italy
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Early Predictors of Disability and Cognition in Multiple Sclerosis Patients: A Long-Term Retrospective Analysis. J Clin Med 2023; 12:jcm12020685. [PMID: 36675614 PMCID: PMC9864935 DOI: 10.3390/jcm12020685] [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: 11/09/2022] [Revised: 12/27/2022] [Accepted: 01/13/2023] [Indexed: 01/18/2023] Open
Abstract
We conducted a retrospective analysis on multiple sclerosis (MS) patients with perceived cognitive decline and long disease duration to investigate early predictors of future cognitive impairment (CI) and motor disability. Sixty-five patients complaining of cognitive decline were assessed with an extensive neuropsychological battery at the last clinical follow-up and classified as mildly impaired, severely impaired, and cognitively spared based on the results. Motor disability was assessed with EDSS, MSSS, and ARMSS. Baseline demographic, clinical, and imaging parameters were retrospectively collected and inserted in separate multivariate regression models to investigate the predictive power of future impairment. Twenty-one patients (32.3%) showed no CI, seventeen (26.2%) showed mild CI, and twenty-seven (41.5%) showed severe CI. Older and less educated patients with higher EDSS, longer disease duration, and higher white matter lesion load (WMLL) at diagnosis (particularly with cerebellar involvement) were more likely to develop CI after a mean follow-up from diagnosis of 16.5 ± 6.9 years. DMT exposure was protective. The multivariate regression analyses confirmed WMLL, disease duration, and educational levels as the parameters with significant predictive value for future CI (R2 adjusted: 0.338 p: 0.001). Older patients with progressive phenotype both at diagnosis and T1 were more likely to be not fully ambulatory at T1 (R2 adjusted: 0.796 p: 0.0001). Our results further expand knowledge on early predictors of cognitive decline and evolution over time.
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Myelin Basic Protein in Oligodendrocyte-Derived Extracellular Vesicles as a Diagnostic and Prognostic Biomarker in Multiple Sclerosis: A Pilot Study. Int J Mol Sci 2023; 24:ijms24010894. [PMID: 36614334 PMCID: PMC9821098 DOI: 10.3390/ijms24010894] [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: 11/28/2022] [Revised: 12/28/2022] [Accepted: 12/30/2022] [Indexed: 01/06/2023] Open
Abstract
Approximately 15% of multiple sclerosis (MS) patients develop a progressive form of disease from onset; this condition (primary progressive-PP) MS is difficult to diagnose and treat, and is associated with a poor prognosis. Extracellular vesicles (EVs) of brain origin isolated from blood and their protein cargoes could function as a biomarker of pathological conditions. We verified whether MBP and MOG content in oligodendrocytes-derived EVs (ODEVs) could be biomarkers of MS and could help in the differential diagnosis of clinical MS phenotypes. A total of 136 individuals (7 clinically isolated syndrome (CIS), 18 PPMS, 49 relapsing remitting (RRMS)) and 70 matched healthy controls (HC) were enrolled. ODEVs were enriched from serum by immune-capture with anti-MOG antibody; MBP and MOG protein cargoes were measured by ELISA. MBP concentration in ODEVs was significantly increased in CIS (p < 0.001), RRMS (p < 0.001) and PPMS (p < 0.001) compared to HC and was correlated with disease severity measured by EDSS and MSSS. Notably, MBP concentration in ODEVs was also significantly augmented in PPMS compared to RRMS (p = 0.004) and CIS (p = 0.03). Logistic regression and ROC analyses confirmed these results. A minimally invasive blood test measuring the concentration of MBP in ODEVs is a promising tool that could facilitate MS diagnosis.
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Abdolalizadeh A, Ohadi MAD, Ershadi ASB, Aarabi MH. Graph theoretical approach to brain remodeling in multiple sclerosis. Netw Neurosci 2023; 7:148-159. [PMID: 37334009 PMCID: PMC10270718 DOI: 10.1162/netn_a_00276] [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: 05/30/2021] [Accepted: 09/05/2022] [Indexed: 03/21/2024] Open
Abstract
Multiple sclerosis (MS) is a neuroinflammatory disorder damaging structural connectivity. Natural remodeling processes of the nervous system can, to some extent, restore the damage caused. However, there is a lack of biomarkers to evaluate remodeling in MS. Our objective is to evaluate graph theory metrics (especially modularity) as a biomarker of remodeling and cognition in MS. We recruited 60 relapsing-remitting MS and 26 healthy controls. Structural and diffusion MRI, plus cognitive and disability evaluations, were done. We calculated modularity and global efficiency from the tractography-derived connectivity matrices. Association of graph metrics with T2 lesion load, cognition, and disability was evaluated using general linear models adjusting for age, gender, and disease duration wherever applicable. We showed that MS subjects had higher modularity and lower global efficiency compared with controls. In the MS group, modularity was inversely associated with cognitive performance but positively associated with T2 lesion load. Our results indicate that modularity increase is due to the disruption of intermodular connections in MS because of the lesions, with no improvement or preserving of cognitive functions.
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Affiliation(s)
- AmirHussein Abdolalizadeh
- Students’ Scientific Research Program, Tehran University of Medical Sciences, Tehran, Iran
- Interdisciplinary Neuroscience Research Program, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Amin Dabbagh Ohadi
- Students’ Scientific Research Program, Tehran University of Medical Sciences, Tehran, Iran
- Interdisciplinary Neuroscience Research Program, Tehran University of Medical Sciences, Tehran, Iran
| | - Amir Sasan Bayani Ershadi
- Students’ Scientific Research Program, Tehran University of Medical Sciences, Tehran, Iran
- Interdisciplinary Neuroscience Research Program, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Hadi Aarabi
- Department of Neuroscience, Padova Neuroscience Center, University of Padova, Padova, Italy
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47
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Silva AS, Guimarães J, Sousa C, Mendonça L, Soares-Dos-Reis R, Mendonça T, Abreu P, Sequeira L, Sá MJ. Metabolic syndrome parameters and multiple sclerosis disease outcomes: A Portuguese cross-sectional study. Mult Scler Relat Disord 2023; 69:104370. [PMID: 36401965 DOI: 10.1016/j.msard.2022.104370] [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: 05/04/2022] [Revised: 05/31/2022] [Accepted: 10/21/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Metabolic syndrome and multiple sclerosis [MS] share the presence of chronic inflammation in their pathogenic mechanisms. This study aimed to estimate the prevalence of metabolic syndrome parameters in MS and their association with disease disability, cognitive function, and Neurofilament Light chain [NfL] levels. METHODS Clinical, analytical, and magnetic resonance imaging data were obtained through medical records. Disease disability was measured by the Expanded Disability Status Scale [EDSS], the MS Severity Scale [MSSS] along with cognitive impairment by the Brief International Cognitive Assessment for MS [BICAMS] and Word List Generation test [WLG]. Metabolic syndrome parameters were evaluated by fasting blood glucose, triglycerides, high-density lipoprotein cholesterol [HDL-C], low-density lipoprotein cholesterol, total cholesterol, blood pressure, and waist circumference [WC]. We also analysed serum leptin and ghrelin and cerebrospinal fluid NfL. RESULTS Our sample included 51 people with MS, 34 (66.7%) females, mean age of 38.20±12.12 years and median disease duration of 3 years (P25=2.0, P75=5.0). Multivariate linear regression analysis confirmed that WC correlates with EDSS (β=0.04, p=.001) and MSSS (β=0.07, p=.002) as well as Brief Visuospatial Memory Test-Revised (β=-0.29, p=.008), WLG (β=-0.20, p=.039). NfL is also negatively associated with HDL-C (β=-4.51, p=.038). CONCLUSIONS Waist circumference is associated with disability and deficits in cognitive tests. A decrease in HDL-C is associated with an increase in NfL. This suggests metabolic syndrome might be an important factor in MS disease course.
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Affiliation(s)
- Ana Sofia Silva
- Faculty of Medicine of the University of Porto, Al. Prof. Hernâni Monteiro, Porto 4200-319, Portugal.
| | - Joana Guimarães
- Neurology Department, Centro Hospitalar Universitário São João, Porto, Portugal; Department of Clinical Neurosciences and Mental Health, Faculty of Medicine of the University of Porto, Portugal; Center for Drug Discovery and Innovative Medicines (MedInUP), University of Porto, Portugal
| | - Cláudia Sousa
- Neuropsychological Unit, Department of Psychology, Centro Hospitalar Universitário São João, Porto, Portugal
| | - Liliana Mendonça
- Neurology Department, Centro Hospitalar Universitário São João, Porto, Portugal
| | - Ricardo Soares-Dos-Reis
- Neurology Department, Centro Hospitalar Universitário São João, Porto, Portugal; Department of Clinical Neurosciences and Mental Health, Faculty of Medicine of the University of Porto, Portugal; i3S, University of Porto, Portugal
| | - Teresa Mendonça
- Neurology Department, Centro Hospitalar Universitário São João, Porto, Portugal
| | - Pedro Abreu
- Neurology Department, Centro Hospitalar Universitário São João, Porto, Portugal; Department of Clinical Neurosciences and Mental Health, Faculty of Medicine of the University of Porto, Portugal
| | - Lucinda Sequeira
- Neurology Department, Centro Hospitalar Universitário São João, Porto, Portugal
| | - Maria José Sá
- Neurology Department, Centro Hospitalar Universitário São João, Porto, Portugal; Faculty of Health Sciences, University Fernando Pessoa, Porto, Portugal
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48
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Koch MW, Repovic P, Mostert J, Bowen JD, Comtois J, Strijbis E, Uitdehaag B, Cutter G. The nine hole peg test as an outcome measure in progressive MS trials. Mult Scler Relat Disord 2023; 69:104433. [PMID: 36462470 DOI: 10.1016/j.msard.2022.104433] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Revised: 11/07/2022] [Accepted: 11/23/2022] [Indexed: 11/27/2022]
Abstract
BACKGROUND The nine-hole peg test (NHPT) is the outcome measure with the least change in secondary and primary progressive MS (SPMS and PPMS) trials. The Standard NHPT is defined as the average of four measurements, two in each hand. Little is known about the performance of alternative NHPT scoring methods as longitudinal outcome measures in progressive MS. Non-ambulatory people with progressive MS are now generally excluded from clinical trials, and there is little information on longitudinal NHPT change in this patient group. In this investigation, we used patient-level data from two large randomized controlled trials in progressive MS to explore alternative NHPT scoring methods and NHPT change in non-ambulatory people with progressive MS. METHODS We used patient-level data from the ASCEND (SPMS, n = 889) and PROMISE (PPMS, n = 943) clinical trials to compare significant change on the Standard NHPT with the alternatives dominant hand (DH), non-dominant hand (NDH), and either hand (EH) NHPT in ambulatory and non-ambulatory trial participants. RESULTS The Standard NHPT changed slowly and showed few worsening events, as did the DH and NDH alternatives. Using the EH NHPT resulted in a substantial increase of worsening events. Non-ambulatory trial participants with PPMS experienced more NHPT worsening than ambulatory participants, especially when using the EH NHPT. CONCLUSION Using the EH NHPT yielded substantially more worsening events in people with progressive MS. Clinical trials in non-ambulatory people may be possible with the NHPT as the primary outcome measure. More research into the precision of these measures in this patient group is necessary.
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Affiliation(s)
- Marcus W Koch
- Department of Clinical Neurosciences, University of Calgary, Canada; Department of Community Health Sciences, University of Calgary, Canada
| | - Pavle Repovic
- Multiple Sclerosis Center, Swedish Neuroscience Institute, Seattle, USA
| | - Jop Mostert
- Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands
| | - James D Bowen
- Multiple Sclerosis Center, Swedish Neuroscience Institute, Seattle, USA
| | - Jacynthe Comtois
- Department of Medicine, Neurology service, Hôpital Maisonneuve-Rosemont, Montreal, Canada; Département de neurosciences, Faculté de médecine, Université de Montréal, Montreal, Canada
| | - Eva Strijbis
- Department of Neurology, MS Center Amsterdam, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Bernard Uitdehaag
- Department of Neurology, MS Center Amsterdam, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Gary Cutter
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, USA
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Lucchini M, De Arcangelis V, Piro G, Nociti V, Bianco A, De Fino C, Di Sante G, Ria F, Calabresi P, Mirabella M. CSF CXCL13 and Chitinase 3-like-1 Levels Predict Disease Course in Relapsing Multiple Sclerosis. Mol Neurobiol 2023; 60:36-50. [PMID: 36215027 PMCID: PMC9758105 DOI: 10.1007/s12035-022-03060-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 10/03/2022] [Indexed: 12/29/2022]
Abstract
Several biomarkers from multiple sclerosis (MS) patients' biological fluids have been considered to support diagnosis, predict disease course, and evaluate treatment response. In this study, we assessed the CSF concentration of selected molecules implicated in the MS pathological process. To investigate the diagnostic and prognostic significance of CSF concentration of target candidate biomarkers in both relapsing (RMS, n = 107) and progressive (PMS, n = 18) MS patients and in other inflammatory (OIND, n = 10) and non-inflammatory (ONIND, n = 15) neurological disorders. We measured the CSF concentration of APRIL, BAFF, CHI3L1, CCL-2, CXCL-8, CXCL-10, CXCL-12, CXCL-13 through a Luminex Assay. MS patients were prospectively evaluated, and clinical and radiological activity were recorded. CHI3L1 and CXCL13 CSF levels were significantly higher in both MS groups compared to control groups, while CCL2, BAFF, and APRIL concentrations were lower in RMS patients compared to PMS and OIND. Considering RMS patients with a single demyelinating event, higher concentrations of CHI3L1, CXCL10, CXCL12, and CXCL13 were recorded in patients who converted to clinically defined MS(CDMS). RMS patients in the CXCL13 and CHI3L1 high concentration group had a significantly higher risk of relapse (HR 12.61 and 4.57), MRI activity (HR 7.04 and 2.46), and of any evidence of disease activity (HR 12.13 and 2.90) during follow-up. CSF CXCL13 and CHI3L1 levels represent very good prognostic biomarkers in RMS patients, and therefore can be helpful in the treatment choice. Higher CSF concentrations of neuro-inflammatory biomarkers were associated with a higher risk of conversion to CDMS in patients with a first clinical demyelinating event. Differential CSF BAFF and APRIL levels between RMS and PMS suggest a different modulation of B-cells pathways in the different phases of the disease.
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Affiliation(s)
- Matteo Lucchini
- grid.411075.60000 0004 1760 4193Fondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy ,grid.8142.f0000 0001 0941 3192Centro Di Ricerca Sclerosi Multipla (CERSM), Università Cattolica del Sacro Cuore, Largo Agostino Gemelli 8, 00168 Rome, Italy
| | - Valeria De Arcangelis
- grid.411075.60000 0004 1760 4193Fondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy
| | - Geny Piro
- grid.411075.60000 0004 1760 4193Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Oncologia Medica, Rome, Italy
| | - Viviana Nociti
- grid.411075.60000 0004 1760 4193Fondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy ,grid.8142.f0000 0001 0941 3192Centro Di Ricerca Sclerosi Multipla (CERSM), Università Cattolica del Sacro Cuore, Largo Agostino Gemelli 8, 00168 Rome, Italy
| | - Assunta Bianco
- grid.411075.60000 0004 1760 4193Fondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy ,grid.8142.f0000 0001 0941 3192Centro Di Ricerca Sclerosi Multipla (CERSM), Università Cattolica del Sacro Cuore, Largo Agostino Gemelli 8, 00168 Rome, Italy
| | - Chiara De Fino
- grid.411075.60000 0004 1760 4193Fondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy
| | - Gabriele Di Sante
- grid.9027.c0000 0004 1757 3630Dipartimento Di Medicina e Chirurgia, Sezione Di Anatomia Umana, Clinica e Forense, Università Degli Studi Di Perugia, Perugia, Italy
| | - Francesco Ria
- grid.8142.f0000 0001 0941 3192Dipartimento Di Medicina E Chirurgia Traslazionale, Università Cattolica del Sacro Cuore, Rome, Italy ,grid.414603.4Dipartimento Di Scienze Di Laboratorio Ed Infettivologiche, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - Paolo Calabresi
- grid.411075.60000 0004 1760 4193Fondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy ,grid.8142.f0000 0001 0941 3192Centro Di Ricerca Sclerosi Multipla (CERSM), Università Cattolica del Sacro Cuore, Largo Agostino Gemelli 8, 00168 Rome, Italy
| | - Massimiliano Mirabella
- grid.411075.60000 0004 1760 4193Fondazione Policlinico Universitario Agostino Gemelli IRCCS, UOC Neurologia, Rome, Italy ,grid.8142.f0000 0001 0941 3192Centro Di Ricerca Sclerosi Multipla (CERSM), Università Cattolica del Sacro Cuore, Largo Agostino Gemelli 8, 00168 Rome, Italy
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50
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Campagna MP, Xavier A, Lea RA, Stankovich J, Maltby VE, Butzkueven H, Lechner-Scott J, Scott RJ, Jokubaitis VG. Whole-blood methylation signatures are associated with and accurately classify multiple sclerosis disease severity. Clin Epigenetics 2022; 14:194. [PMID: 36585691 PMCID: PMC9805090 DOI: 10.1186/s13148-022-01397-2] [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: 08/08/2022] [Accepted: 12/02/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND The variation in multiple sclerosis (MS) disease severity is incompletely explained by genetics, suggesting genetic and environmental interactions are involved. Moreover, the lack of prognostic biomarkers makes it difficult for clinicians to optimise care. DNA methylation is one epigenetic mechanism by which gene-environment interactions can be assessed. Here, we aimed to identify DNA methylation patterns associated with mild and severe relapse-onset MS (RMS) and to test the utility of methylation as a predictive biomarker. METHODS We conducted an epigenome-wide association study between 235 females with mild (n = 119) or severe (n = 116) with RMS. Methylation was measured with the Illumina methylationEPIC array and analysed using logistic regression. To generate hypotheses about the functional consequence of differential methylation, we conducted gene set enrichment analysis using ToppGene. We compared the accuracy of three machine learning models in classifying disease severity: (1) clinical data available at baseline (age at onset and first symptoms) built using elastic net (EN) regression, (2) methylation data using EN regression and (3) a weighted methylation risk score of differentially methylated positions (DMPs) from the main analysis using logistic regression. We used a conservative 70:30 test:train split for classification modelling. A false discovery rate threshold of 0.05 was used to assess statistical significance. RESULTS Females with mild or severe RMS had 1472 DMPs in whole blood (839 hypermethylated, 633 hypomethylated in the severe group). Differential methylation was enriched in genes related to neuronal cellular compartments and processes, and B-cell receptor signalling. Whole-blood methylation levels at 1708 correlated CpG sites classified disease severity more accurately (machine learning model 2, AUC = 0.91) than clinical data (model 1, AUC = 0.74) or the wMRS (model 3, AUC = 0.77). Of the 1708 selected CpGs, 100 overlapped with DMPs from the main analysis at the gene level. These overlapping genes were enriched in neuron projection and dendrite extension, lending support to our finding that neuronal processes, rather than immune processes, are implicated in disease severity. CONCLUSION RMS disease severity is associated with whole-blood methylation at genes related to neuronal structure and function. Moreover, correlated whole-blood methylation patterns can assign disease severity in females with RMS more accurately than clinical data available at diagnosis.
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Affiliation(s)
- Maria Pia Campagna
- grid.1002.30000 0004 1936 7857Central Clinical School, Monash University, Melbourne, VIC Australia
| | - Alexandre Xavier
- grid.266842.c0000 0000 8831 109XHunter Medical Research Institute, University of Newcastle, Newcastle, NSW Australia
| | - Rodney A. Lea
- grid.1024.70000000089150953Queensland University of Technology, Brisbane, QLD Australia ,grid.1008.90000 0001 2179 088XUniversity of Melbourne, Melbourne, VIC Australia
| | - Jim Stankovich
- grid.1002.30000 0004 1936 7857Monash University, Melbourne, VIC Australia
| | - Vicki E. Maltby
- grid.266842.c0000 0000 8831 109XHunter Medical Research Institute, University of Newcastle, Newcastle, NSW Australia
| | - Helmut Butzkueven
- grid.1002.30000 0004 1936 7857Monash University, Melbourne, VIC Australia ,grid.1008.90000 0001 2179 088XUniversity of Melbourne, Melbourne, VIC Australia ,grid.416153.40000 0004 0624 1200Royal Melbourne Hospital, Melbourne, VIC Australia ,grid.414366.20000 0004 0379 3501Neurology Department, Eastern Health, Melbourne, VIC Australia ,grid.267362.40000 0004 0432 5259Neurology Department, Alfred Health, Melbourne, VIC Australia
| | - Jeannette Lechner-Scott
- grid.266842.c0000 0000 8831 109XHunter Medical Research Institute, University of Newcastle, Newcastle, NSW Australia ,grid.3006.50000 0004 0438 2042Neurology Department, John Hunter Hospital, Hunter New England Health, Newcastle, NSW Australia
| | - Rodney J. Scott
- grid.266842.c0000 0000 8831 109XSchool of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, NSW Australia ,Division of Molecular Medicine, New South Wales Health Pathology North, Newcastle, NSW Australia
| | - Vilija G. Jokubaitis
- grid.1002.30000 0004 1936 7857Monash University, Melbourne, VIC Australia ,grid.1008.90000 0001 2179 088XUniversity of Melbourne, Melbourne, VIC Australia ,grid.416153.40000 0004 0624 1200Royal Melbourne Hospital, Melbourne, VIC Australia ,grid.267362.40000 0004 0432 5259Neurology Department, Alfred Health, Melbourne, VIC Australia
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