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Zeydan B, Azevedo CJ, Makhani N, Cohen M, Tutuncu M, Thouvenot E, Siva A, Okuda DT, Kantarci OH, Lebrun-Frenay C. Early Disease-Modifying Treatments for Presymptomatic Multiple Sclerosis. CNS Drugs 2024; 38:973-983. [PMID: 39285136 PMCID: PMC11560559 DOI: 10.1007/s40263-024-01117-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/08/2024] [Indexed: 11/08/2024]
Abstract
Radiologically isolated syndrome (RIS) is the earliest stage in the disease continuum of multiple sclerosis (MS). RIS is discovered incidentally in individuals who are asymptomatic but have typical lesions in the brain and/or spinal cord suggestive of demyelination. The 2009 and revised 2023 RIS criteria were developed for diagnosis. Presymptomatic individuals who fulfill the 2009 RIS criteria by having 3-4 of 4 dissemination in space McDonald 2005 MS criteria are still diagnosed with RIS using the revised 2023 RIS criteria. In presymptomatic individuals who do not fulfill the 2009 RIS criteria, the revised 2023 RIS criteria target to secure an accurate and timely diagnosis: In addition to (a) having one lesion in two of four locations (periventricular, juxtacortical/cortical, infratentorial, spinal cord), (b) two of three features (spinal cord lesion, cerebrospinal fluid (CSF)-restricted oligoclonal bands, and new T2 or gadolinium-enhancing lesion) should be fulfilled. Among laboratory biomarkers, CSF kappa-free light chain can also increase diagnostic accuracy. Once the diagnosis is confirmed, the established risk factors, including demographics, imaging, and laboratory biomarkers, should be evaluated for symptomatic MS transition and prognosis. Younger age, male sex, increased neurofilament-light chain, CSF abnormality, and the presence of infratentorial, spinal cord, or gadolinium-enhancing lesions on imaging are the main risk factors for transition to symptomatic MS. Two randomized clinical trials showed significant efficacy of disease-modifying treatments in delaying or preventing the development of the first clinical event in RIS. However, because some individuals remain as RIS, it is crucial to identify the individuals with a higher number of risk factors to optimize disease outcomes by early intervention while minimizing adverse events. Discussing each RIS case with an expert MS team is recommended because there is still a lack of clinical guidelines to improve care, counseling, and surveillance.
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Affiliation(s)
- Burcu Zeydan
- Department of Radiology, Mayo Clinic, 200 First Street, SW, Rochester, MN, USA.
- Department of Neurology, Mayo Clinic, Rochester, MN, USA.
| | - Christina J Azevedo
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Naila Makhani
- Department of Pediatrics, Yale School of Medicine, New Haven, CT, USA
- Department of Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Mikael Cohen
- Department of Neurology, MS Clinic Nice, Pasteur 2 University Hospital, UR2CA-URRIS, Côte d'Azur University, Nice, France
| | - Melih Tutuncu
- Department of Neurology, Istanbul University Cerrahpasa School of Medicine, Istanbul, Türkiye
| | - Eric Thouvenot
- Department of Neurology, Nîmes University Hospital Center, Univ. Montpellier, Nîmes, France
- IGF, Montpellier University, CNRS, INSERM, Montpellier, France
| | - Aksel Siva
- Department of Neurology, Istanbul University Cerrahpasa School of Medicine, Istanbul, Türkiye
| | - Darin T Okuda
- Neuroinnovation Program and Multiple Sclerosis and Neuroimmunology Imaging Program, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Christine Lebrun-Frenay
- Department of Neurology, MS Clinic Nice, Pasteur 2 University Hospital, UR2CA-URRIS, Côte d'Azur University, Nice, France
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Jendretzky KF, Lezius LM, Thiele T, Konen FF, Huss A, Heitmann L, Güzeloglu YE, Schwenkenbecher P, Sühs KW, Skuljec J, Wattjes MP, Witte T, Kleinschnitz C, Pul R, Tumani H, Gingele S, Skripuletz T. Prevalence of comorbid autoimmune diseases and antibodies in newly diagnosed multiple sclerosis patients. Neurol Res Pract 2024; 6:55. [PMID: 39533435 PMCID: PMC11556020 DOI: 10.1186/s42466-024-00351-2] [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: 05/20/2024] [Accepted: 10/07/2024] [Indexed: 11/16/2024] Open
Abstract
BACKGROUND Diagnosing multiple sclerosis (MS) is challenging due to diverse symptoms and the absence of specific biomarkers. Concurrent autoimmune diseases (AID) or non-specific antibodies further complicate diagnosis, progression monitoring, and management. Data on AID prevalence in MS patients are sparse. This study aims to identify concurrent AIDs alongside MS. METHODS In this retrospective single-center study, we analyzed patient records at our university hospital from 2010 to 2017, focusing on cases suspected of inflammatory demyelinating disease. The 2017 McDonald criteria were applied. Additionally, we measured neurofilament light (NfL) levels from available CSF samples in our biobank. RESULTS We identified a total of 315 patients, of whom 66% were women. In total, 13.7% of all patients had concurrent AID, while 20.3% had isolated antibody findings without AID. The most common AID was autoimmune thyroiditis (8.9%), followed by chronic inflammatory skin diseases (1.6%), arthritis (1%), type 1 diabetes (1%), Sjögren's syndrome (0.6%), and inflammatory bowel diseases (0.6%). Cardiolipin antibodies were the most frequent isolated antibody finding (8.6%). Our data showed that, from the perspective of the initial demyelinating event, neither comorbid AID nor isolated antibodies significantly influenced relapses or MS progression over a median follow-up of 9 months. Standard CSF parameters and NfL levels were similar between the groups at the time of MS diagnosis. CONCLUSION Our study shows that AIDs, particularly autoimmune thyroiditis, frequently occur at the onset of MS. The proportion of AIDs commonly treated with immunomodulatory therapy in our cohort was similar to that observed in the general population. Comorbid AID did not affect NfL levels, indicating similar disease activity. Future research should explore new AID emergence during the course of MS, especially considering the increased incidence of rheumatic diseases later in life.
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Affiliation(s)
| | | | - Thea Thiele
- Department of Rheumatology and Clinical Immunology, Hannover Medical School, Hannover, Germany
| | | | - André Huss
- Department of Neurology, University Hospital of Ulm, Ulm, Germany
| | - Lena Heitmann
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | | | | | | | - Jelena Skuljec
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, Essen, Germany
| | - Mike Peter Wattjes
- Department of Neuroradiology, Charité Berlin, Corporate Member of Freie Universität zu Berlin, Humboldt-Universität zu Berlin, erlin, Germany
| | - Torsten Witte
- Department of Rheumatology and Clinical Immunology, Hannover Medical School, Hannover, Germany
| | - Christoph Kleinschnitz
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, Essen, Germany
| | - Refik Pul
- Department of Neurology and Center for Translational Neuro- and Behavioral Sciences (C-TNBS), University Medicine Essen, Essen, Germany
| | - Hayrettin Tumani
- Department of Neurology, University Hospital of Ulm, Ulm, Germany
| | - Stefan Gingele
- Department of Neurology, Hannover Medical School, Hannover, Germany
| | - Thomas Skripuletz
- Department of Neurology, Hannover Medical School, Hannover, Germany.
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Yang F, Zhao LY, Yang WQ, Chao S, Ling ZX, Sun BY, Wei LP, Zhang LJ, Yu LM, Cai GY. Quantitative proteomics and multi-omics analysis identifies potential biomarkers and the underlying pathological molecular networks in Chinese patients with multiple sclerosis. BMC Neurol 2024; 24:423. [PMID: 39478468 PMCID: PMC11526627 DOI: 10.1186/s12883-024-03926-3] [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: 06/28/2024] [Accepted: 10/21/2024] [Indexed: 11/02/2024] Open
Abstract
Multiple sclerosis (MS) is an autoimmune disorder caused by chronic inflammatory reactions in the central nervous system. Currently, little is known about the changes of plasma proteomic profiles in Chinese patients with MS (CpwMS) and its relationship with the altered profiles of multi-omics such as metabolomics and gut microbiome, as well as potential molecular networks that underlie the etiology of MS. To uncover the characteristics of proteomics landscape and potential multi-omics interaction networks in CpwMS, Plasma samples were collected from 22 CpwMS and 22 healthy controls (HCs) and analyzed using a Tandem Mass Tag (TMT)-based quantitative proteomics approach. Our results showed that the plasma proteomics pattern was significantly different in CpwMS compared to HCs. A total of 90 differentially expressed proteins (DEPs), such as LAMP1 and FCG2A, were identified in CpwMS plasma comparing to HCs. Furthermore, we also observed extensive and significant correlations between the altered proteomic profiles and the changes of metabolome, gut microbiome, as well as altered immunoinflammatory responses in MS-affected patients. For instance, the level of LAMP1 and ERN1 were significantly and positively correlated with the concentrations of metabolite L-glutamic acid and pro-inflammatory factor IL-17 (Padj < 0.05). However, they were negatively correlated with the amounts of other metabolites such as L-tyrosine and sphingosine 1-phosphate, as well as the concentrations of IL-8 and MIP-1α. This study outlined the underlying multi-omics integrated mechanisms that might regulate peripheral immunoinflammatory responses and MS progression. These findings are potentially helpful for developing new assisting diagnostic biomarker and therapeutic strategies for MS.
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Affiliation(s)
- Fan Yang
- Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Department of Rehabilitation & Clinical Laboratory, Lishui Second People's Hospital, Lishui, China.
- Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China.
| | - Long-You Zhao
- Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Department of Rehabilitation & Clinical Laboratory, Lishui Second People's Hospital, Lishui, China
| | - Wen-Qi Yang
- Department of Clinical Laboratory & Gastrointestinal Surgery, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Shan Chao
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Zong-Xin Ling
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Bo-Yao Sun
- Department of Clinical Laboratory & Gastrointestinal Surgery, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Li-Ping Wei
- Department of Clinical Laboratory & Gastrointestinal Surgery, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Li-Juan Zhang
- Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Department of Rehabilitation & Clinical Laboratory, Lishui Second People's Hospital, Lishui, China
| | - Li-Mei Yu
- Key Laboratory of Cell Engineering in Guizhou Province, Affiliated Hospital of Zunyi Medical University, Zunyi, China.
| | - Guang-Yong Cai
- Lishui Key Laboratory of Brain Health and Severe Brain Disorders, Department of Rehabilitation & Clinical Laboratory, Lishui Second People's Hospital, Lishui, China.
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Sandi D, Kokas Z, Kincses ZT, Füvesi J, Fricska-Nagy Z, Vörös E, Biernacki T, Vécsei L, Klivényi P, Bencsik K. NEDA-state, psychological symptoms and quality of life are stable in natalizumab-treated multiple sclerosis patients: An up to 6-years long follow-up study. Heliyon 2024; 10:e39536. [PMID: 39502229 PMCID: PMC11535987 DOI: 10.1016/j.heliyon.2024.e39536] [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: 01/31/2023] [Revised: 10/14/2024] [Accepted: 10/16/2024] [Indexed: 11/08/2024] Open
Abstract
Introduction Natalizumab (NAT), a highly effective disease modifying therapy (DMT) in relapsing-remitting multiple sclerosis (RRMS), was approved for clinical use in Hungary on February 1, 2010. In this study we aimed to assess its effectiveness in view of the concept of "No Evidence of Disease Activity" (NEDA-3), furthermore evaluate its effect on limb function, pathopsychological symptoms (cognition, fatigue, depression) and quality of life (QoL). Patients and methods From February 1, 2010, to December 1, 2022, 121 eligible patients were consecutively enrolled from the MS center of the University of Szeged, Hungary. Here, we report data on 6-years of follow-up. First, we evaluated the proportion of patients reaching the NEDA-3 state and any possible influencing factors. Then, we assessed the change of upper and lower limb functions via the 9-hole-peg test (9HPT) and the 25-feet walk test (TW25F). Finally, we assessed the change of pathopsychological symptoms (cognition, fatigue, depression) and QoL via the BICAMS, FIS, BDI-II and MSQoL-54 questionnaires, and the possible influencing factors behind it. Results Cumulatively, 97 patients (80.2 %) achieved NEDA-3 throughout the follow-up period. On a year-by-year basis, the proportion changed from 95.9 % in the 1st year to 84.3 %, 81.3 %, 76.4 %, 74.5 % and 78.9 % in the 2nd, 3rd, 4th, 5th and 6th year respectively (p<0.001). Baseline EDSS scores and the type of preceding DMT affected this outcome. Both the upper and the lower limb functions remained stable. Cognitive functions improved (p<0.001), fatigue and depression scores remained stable during the follow-up period. QoL remained stable or improved in all subscales of MSQoL-54 questionnaire. Conclusion Our 6-years long detailed follow-up study demonstrates that NAT not only reduces disease activity and progression. It effectively protects from the worsening of limb function, cognitive and other psychological impairments, and stabilizes the patients' quality of life in basically every measurable aspect.
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Affiliation(s)
- Dániel Sandi
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsófia Kokas
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsigmond Tamás Kincses
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
- Department of Radiology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Judit Füvesi
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Zsanett Fricska-Nagy
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Erika Vörös
- Department of Radiology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Tamás Biernacki
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - László Vécsei
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
- ELKH-SZTE Neuroscience Research Group, University of Szeged, Szeged, Hungary
| | - Péter Klivényi
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
| | - Krisztina Bencsik
- Department of Neurology, Albert Szent-Györgyi Clinical Center and Faculty of Medicine, University of Szeged, Szeged, Hungary
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Al-Shibli R, Al-Asmi A, Islam MM, Al Sabahi F, Al-Aamri A, Butt M, Al-Lawati M, Al-Hashmi L, Al-Yahmadi J. Seasonal Variations in Multiple Sclerosis Relapses in Oman: A Single Tertiary Centre Experience. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:1371. [PMID: 39457344 PMCID: PMC11507384 DOI: 10.3390/ijerph21101371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2024] [Revised: 09/25/2024] [Accepted: 10/14/2024] [Indexed: 10/28/2024]
Abstract
(1) Background and Aims: The seasonal factors influencing multiple sclerosis (MS) relapses remain elusive. This study aims to investigate the seasonal variation of MS relapses in Oman and compare it globally. (2) Subject and Methods: This retrospective study was conducted on N = 183 Omani MS patients treated at Sultan Qaboos University Hospital, a tertiary hospital in Muscat, Oman, over sixteen-year period (2007-2022). Demographic and clinical data of all MS patients were juxtaposed with the monthly weather data during this period, using descriptive and inferential statistical techniques. (3) Results: Among the N = 183 MS patients studied, 508 relapses were recorded during the study period. The average number of relapses per patient was 2.8 (range: 1-15). There were significant seasonal variations in MS relapse rate, with the highest prevalence in the winter months of January and February. However, no correlation was found between MS relapses and other climatic parameters (humidity, temperature, and rainfall). (4) Conclusion: The seasonal patterns of MS relapses in Oman differ from other parts of the world, which the local clinicians should take into account while diagnosing and making management decisions. The potential impact of climate change on the anomalous changes in the seasonality of MS relapses warrants further investigation.
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Affiliation(s)
- Rashid Al-Shibli
- College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 17, Muscat 123, Oman; (R.A.-S.); (M.A.-L.); (L.A.-H.); (J.A.-Y.)
| | - Abdullah Al-Asmi
- Neurology Unit, Department of Medicine, College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 17, Muscat 123, Oman
| | - M. Mazharul Islam
- Department of Statistics, College of Science, Sultan Qaboos University, P.O. Box 36, Al-Khoud, Muscat 123, Oman;
| | - Fatema Al Sabahi
- Neurology Unit, Department of Medicine, College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 17, Muscat 123, Oman
| | - Amira Al-Aamri
- Department of Operation Management & Business Statistics, College of Economics and Political Science, Sultan Qaboos University, P.O. Box 20, Muscat 123, Oman;
| | - Mehwish Butt
- Neurology Unit, Department of Medicine, Sultan Qaboos University Hospital, University Medical City, P.O. Box 35, Al-Khoud, Muscat 123, Oman;
| | - Meetham Al-Lawati
- College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 17, Muscat 123, Oman; (R.A.-S.); (M.A.-L.); (L.A.-H.); (J.A.-Y.)
| | - Lubna Al-Hashmi
- College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 17, Muscat 123, Oman; (R.A.-S.); (M.A.-L.); (L.A.-H.); (J.A.-Y.)
| | - Jihad Al-Yahmadi
- College of Medicine & Health Sciences, Sultan Qaboos University, P.O. Box 17, Muscat 123, Oman; (R.A.-S.); (M.A.-L.); (L.A.-H.); (J.A.-Y.)
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Friesen E, Sheft M, Hari K, Palmer V, Zhu S, Herrera S, Buist R, Jiang D, Li XM, Del Bigio MR, Thiessen JD, Martin M. Quantitative Analysis of Early White Matter Damage in Cuprizone Mouse Model of Demyelination Using 7.0 T MRI Multiparametric Approach. ASN Neuro 2024; 16:2404366. [PMID: 39400556 DOI: 10.1080/17590914.2024.2404366] [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: 10/15/2024] Open
Abstract
Magnetic Resonance Imaging (MRI) is commonly used to follow the progression of neurodegenerative conditions, including multiple sclerosis (MS). MRI is limited by a lack of correlation between imaging results and clinical presentations, referred to as the clinico-radiological paradox. Animal models are commonly used to mimic the progression of human neurodegeneration and as a tool to help resolve the paradox. Most studies focus on later stages of white matter (WM) damage whereas few focus on early stages when oligodendrocyte apoptosis has just begun. The current project focused on these time points, namely weeks 2 and 3 of cuprizone (CPZ) administration, a toxin which induces pathophysiology similar to MS. In vivo T2-weighted (T2W) and Magnetization Transfer Ratio (MTR) maps and ex vivo Diffusion Tensor Imaging (DTI), Magnetization Transfer Imaging (MTI), and relaxometry (T1 and T2) values were obtained at 7 T. Significant changes in T2W signal intensity and non-significant changes in MTR were observed to correspond to early WM damage, whereas significant changes in both corresponded with full demyelination. Some DTI metrics decrease with simultaneous increase in others, indicating acute demyelination. MTI metrics T2A, T2B, f and R were observed to have contradictory changes across CPZ administration. T1 relaxation times were observed to have stronger correlations to disease states during later stages of CPZ treatment, whereas T2 had weak correlations to early WM damage. These results all suggest the need for multiple metrics and further studies at early and late time points of demyelination. Further research is required to continue investigating the interplay between various MR metrics during all weeks of CPZ administration.
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Affiliation(s)
- Emma Friesen
- Department of Chemistry, University of Winnipeg, Winnipeg, Canada
| | - Maxina Sheft
- Department of Physics, University of Winnipeg, Winnipeg, Canada
- Massachusetts Institute of Technology, Cambridge, USA
| | - Kamya Hari
- Department of Physics, University of Winnipeg, Winnipeg, Canada
- Electronics and Communication Engineering, SSN College of Engineering, Chennai, India
| | - Vanessa Palmer
- Department of Biomedical Engineering, University of Manitoba, Winnipeg, Canada
- Cubresa Inc, Winnipeg, Canada
| | - Shenghua Zhu
- Department of Neuroradiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Sheryl Herrera
- Department of Physics, University of Winnipeg, Winnipeg, Canada
- Cubresa Inc, Winnipeg, Canada
| | - Richard Buist
- Department of Radiology, University of Manitoba, Winnipeg, Canada
| | - Depeng Jiang
- Department of Community Health Sciences, University of Manitoba, Winnipeg, Canada
| | - Xin-Min Li
- Department of Psychiatry, University of Alberta, Edmonton, Canada
| | - Marc R Del Bigio
- Department of Pathology, University of Manitoba, Winnipeg, Canada
| | - Jonathan D Thiessen
- Imaging Program, Lawson Health Research Institute, London, Canada
- Department of Medical Biophysics, Western University, London, Canada
| | - Melanie Martin
- Department of Physics, University of Winnipeg, Winnipeg, Canada
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Johansson E, Olsson T, Strid P, Kockum I, Alfredsson L, Hedström AK. Adolescent sleep patterns, genetic predisposition, and risk of multiple sclerosis. Sleep 2024; 47:zsae156. [PMID: 38975699 PMCID: PMC11467049 DOI: 10.1093/sleep/zsae156] [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: 04/05/2024] [Revised: 06/06/2024] [Indexed: 07/09/2024] Open
Abstract
STUDY OBJECTIVES Shift work, insufficient sleep, and poor sleep quality at young age have been associated with increased risk of multiple sclerosis (MS). This study aimed to investigate the potential interaction between aspects of inadequate sleep (short sleep, phase shift, and poor sleep quality) during adolescence and HLA-DRB1*15:01 in relation to MS risk. METHODS We used a Swedish population-based case-control study (1253 cases and 1766 controls). Participants with different sleep patterns during adolescence and HLA-DRB1*15:01 status were compared regarding MS risk by calculating odds ratios with 95% confidence intervals (CI) using logistic regression models. Additive interaction between aspects of inadequate sleep and HLA-DRB1*15:01 status was assessed by calculating the attributable proportion due to interaction (AP) with 95% CI. RESULTS Short sleep duration (<7 hours/night) during adolescence acted synergistically with HLA-DRB1*15:01, increasing the risk of MS (AP 0.38, 95% CI: 0.01 to 0.75, p = .04). Similarly, subjective low sleep quality during adolescence interacted with HLA-DRB1*15:01 regarding risk of MS (AP 0.30, 95% CI: 0.06 to 0.56, p = .03), whereas phase shift did not significantly influence the risk of the disease, irrespective of HLA-DRB1*15:01 status. CONCLUSIONS Our findings underscore the importance of addressing inadequate sleep during adolescence, particularly in the context of the HLA-DRB1*15:01 allele, as it appears to amplify the risk of subsequently developing MS.
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Affiliation(s)
- Eva Johansson
- Department of clinical neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tomas Olsson
- Department of clinical neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Pernilla Strid
- Department of clinical neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Ingrid Kockum
- Department of clinical neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Lars Alfredsson
- Department of clinical neuroscience, Karolinska Institutet, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - Anna Karin Hedström
- Department of clinical neuroscience, Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
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Batran RA, Kamel M, Bahr A, Waheb J, Khalil A, Elsokary M. Multiple sclerosis: economic burden, therapeutic advances, and future forecasts in the Middle East and North Africa region. Expert Rev Pharmacoecon Outcomes Res 2024; 24:873-882. [PMID: 38832693 DOI: 10.1080/14737167.2024.2364832] [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: 12/11/2023] [Accepted: 06/03/2024] [Indexed: 06/05/2024]
Abstract
INTRODUCTION Multiple sclerosis (MS) is a persistent condition characterized by immune-mediated processes in the central nervous system, affecting around 2.8 million individuals globally. While historically less prevalent in the Middle East and North Africa (MENA) region, recent trends mirror the global rise in MS. AREA COVERED The impact of MS is substantial, particularly in the MENA region, with costs per patient surpassing nominal GDP per capita in certain countries. Disease-modifying therapies aim to alleviate MS effects, but challenges persist, especially in managing progressive MS as it shifts from inflammatory to neurodegenerative phases. Limited resources in the MENA region hinder care delivery, though awareness initiatives and multidisciplinary centers are emerging. Contrary to global projections of a decline in the MS market, the MENA region is poised for growth due to increased prevalence, healthcare expenditures, and infrastructure investments. EXPERT OPINION This review underscores the urgent necessity for effective treatments, robust disease management, and early diagnosis in tackling MS's repercussions in the MENA region. Bolstering resources tailored to MS patients and elevating the quality of care stand as pivotal strategies for enhancing health outcomes in this context. Taking decisive action holds the key to enhancing the overall well-being of individuals grappling with MS.
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Affiliation(s)
- Radwa Ahmed Batran
- Medical Affairs Department, Volaris LLC, Dubai, UAE
- Clinical Pharmacy & HEOR, Cairo University Hospitals, Cairo, Egypt
| | - Mohab Kamel
- Medical Affairs Department, Volaris LLC, Dubai, UAE
| | - Ayman Bahr
- Medical Affairs Department, Volaris LLC, Jeddah, Saudi Arabia
| | - Joseph Waheb
- Medical Affairs Department, Volaris LLC, Cairo, Egypt
| | - Ahmed Khalil
- Medical Affairs Department, Volaris LLC, Dubai, UAE
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Heward KD, Roy-Hewitson C, Solomon AJ. Multiple sclerosis presenting with paroxysmal symptoms: Patients at the limitations of current diagnostic criteria. Mult Scler 2024; 30:1566-1570. [PMID: 38751226 DOI: 10.1177/13524585241253513] [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: 10/25/2024]
Abstract
Paroxysmal neurological symptoms in patients with multiple sclerosis (MS) have long been acknowledged. However, consideration of whether such symptoms are a clinical attack and sufficient for fulfillment of MS diagnostic criteria has varied as criteria have evolved over time. Previous studies and anecdotal reports indicate that some patients with MS first present with syndromes such as trigeminal neuralgia, Lhermitte's phenomenon, tonic spasm, and seizure years before an attack typical of MS such as optic neuritis or myelitis. We discuss four patients with presumed MS who initially presented with these syndromes with evidence of a corresponding central nervous system (CNS) lesion who, were these symptoms considered an attack, could have been diagnosed with relapsing remitting MS or clinically isolated syndrome. This case series aims to highlight the unmet need for data for such patient presentations and for clinical guidance from future MS diagnostic criteria to optimize care.
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Affiliation(s)
- Karl D Heward
- Department of Neurological Sciences, Larner College of Medicine, The University of Vermont, Burlington, VT, USA
| | - Chantal Roy-Hewitson
- Department of Neurological Sciences, Larner College of Medicine, The University of Vermont, Burlington, VT, USA
| | - Andrew J Solomon
- Department of Neurological Sciences, Larner College of Medicine, The University of Vermont, Burlington, VT, USA
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10
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Pfaff L, Mondino M, Loeb Q, Noblet V, Berthe C, Kremer L, Bigaut K, Collongues N, De Seze J. Teriflunomide, cognition and MRI: A longitudinal study. Mult Scler Relat Disord 2024; 90:105793. [PMID: 39197351 DOI: 10.1016/j.msard.2024.105793] [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: 12/20/2023] [Revised: 06/27/2024] [Accepted: 07/29/2024] [Indexed: 09/01/2024]
Abstract
BACKGROUND As cognitive impairment in multiple sclerosis (MS) is a frequent and disabling symptom, it is particularly important to identify treatments that have proven efficacy in this aspect of the disease. Several disease-modifying therapies for MS have been evaluated and shown to have a potential effect on cognition and its neurobiological correlates, but to date there is very little data on Teriflunomide (TRF). The aim of this study is to explore the influence of TRF on comprehensive cognitive function and its MRI correlations (global and focal brain volume) in relapsing-remitting multiple sclerosis (RRMS) after two years of therapy. METHODS Twenty-four patients with RRMS were evaluated at baseline and after two years of treatment with BCcogSEP, a French translation of the Brief Repeatable Battery (BRB-N) including 3 additional tests. We explored the performance evolution for each test and correlation with MRI data for all patients. We also differentiated MS patients with and without cognitive impairment. RESULTS After two years of treatment, an improvement is observed at the Selective Reminding Test for mean number of words (p = 0.044), learning (p = 0.018), and delayed recall (p = 0.002) and at GoNoGo task (p = 0.022). At MRI, the corpus callosum volume variation correlates positively with SRT total recall test (p = 0,047). Intergoup analysis shows that the evolution of group performance differs only for the SRT total recall test. The comparison of patients with or without cognitive impairment showed a clear difference in white matter substance volume (p = 0,003) and in the Percentage Brain Volume Change (p = 0,016). CONCLUSION Results suggest that TRF treatment in RRMS has a positive effect in cognitive function, and specifically on long term verbal memory and inhibition. Neuroimaging data suggest a link between cognition and global and focal white matter volume, particularly in the corpus callosum which is involved in anatomical disconnection syndrome and therefore brain plasticity capacities.
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Affiliation(s)
- L Pfaff
- University of Strasbourg, Strasbourg, Biopathology of Myelin, Neuroprotection and Therapeutic Strategies, INSERM U1119, Strasbourg, France.
| | - M Mondino
- University of Strasbourg, CNRS UMR 7357, ICube, FMTS, Strasbourg, France
| | - Q Loeb
- University of Strasbourg, CNRS UMR 7357, ICube, FMTS, Strasbourg, France
| | - V Noblet
- University of Strasbourg, CNRS UMR 7357, ICube, FMTS, Strasbourg, France
| | - C Berthe
- University Hospitals of Strasbourg, CIC (Clinical Investigation Centre) INSERM 1434 and Neurology Department, Strasbourg, France
| | - L Kremer
- University Hospitals of Strasbourg, CIC (Clinical Investigation Centre) INSERM 1434 and Neurology Department, Strasbourg, France
| | - K Bigaut
- University Hospitals of Strasbourg, CIC (Clinical Investigation Centre) INSERM 1434 and Neurology Department, Strasbourg, France
| | - N Collongues
- University Hospitals of Strasbourg, CIC (Clinical Investigation Centre) INSERM 1434 and Neurology Department, Strasbourg, France
| | - J De Seze
- University Hospitals of Strasbourg, CIC (Clinical Investigation Centre) INSERM 1434 and Neurology Department, Strasbourg, France
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11
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Yazdan Panah M, Vaheb S, Moases Ghaffary E, Shaygannejad V, Zabeti A, Mirmosayyeb O. Bone loss and fracture in people with multiple sclerosis: A systematic review and meta-analysis. Mult Scler Relat Disord 2024; 90:105773. [PMID: 39068819 DOI: 10.1016/j.msard.2024.105773] [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: 05/22/2024] [Revised: 06/29/2024] [Accepted: 07/14/2024] [Indexed: 07/30/2024]
Abstract
BACKGROUND People with multiple sclerosis (PwMS) exhibit reduced bone mineral density (BMD) across several anatomical regions. Studies have indicated that PwMS are at a heightened risk of fractures due to decreased BMD and increased prevalence of osteopenia and osteoporosis. This study aimed to investigate the prevalence and risk of osteopenia, osteoporosis, and fracture among PwMS. METHODS Relevant studies were identified through comprehensive searches of databases (PubMed/MEDLINE, Scopus, Embase, and Web of Science) from January 1, 2000, to January 21, 2024. R software version 4.4.0 and random-effects models were employed to estimate the pooled prevalence, odds ratio (OR), and risk ratio (RR) of osteopenia, osteoporosis, and fracture among PwMS, along with their respective 95 % confidence intervals (CIs). RESULTS From a total of 2039 articles, 51 studies with 1,503,785 PwMS met our inclusion criteria. The pooled prevalence of osteopenia, osteoporosis, and overall fracture among PwMS was 41.41 % (95 % CI: 36.14% to 46.69 %, I2=97 %), 14.21 % (95 % CI: 10.75 % to 17.68 %, I2=99 %), and 12.84 % (95 % CI: 8.49 % to 17.19 %, I2 = 100 %), respectively. The likelihood of osteopenia (OR=2.02, 95 % CI: 1.46 to 2.8, p-value<0.01, I2=17 %) and osteoporosis (OR=1.71, 95 % CI: 1.27 to 2.31, p-value<0.01, I2=74 %), as well as the probability of overall fracture (RR=1.86, 95 % CI: 1.61 to 2.14, p-value<0.01, I2=74 %) were significantly higher in PwMS than healthy controls (HCs). CONCLUSION PwMS were at a substantially increased risk of developing osteopenia (2-fold), osteoporosis (1.7-fold), and overall fractures (1.9-fold). Well-designed studies are needed to explore these associations further.
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Affiliation(s)
- Mohammad Yazdan Panah
- Student Research Committee, Shahrekord University of Medical Sciences, Shahrekord, Iran; Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Saeed Vaheb
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Elham Moases Ghaffary
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Vahid Shaygannejad
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Aram Zabeti
- Department of Neurology, University of Cincinnati, Cincinnati, OH, United States
| | - Omid Mirmosayyeb
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of Neurology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
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12
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Heesen C. Treatment effect modifiers of immunotherapies for relapsing-remitting multiple sclerosis-A systematic review and meta-analysis. Mult Scler J Exp Transl Clin 2024; 10:20552173241274618. [PMID: 39493424 PMCID: PMC11528564 DOI: 10.1177/20552173241274618] [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: 03/07/2024] [Accepted: 07/25/2024] [Indexed: 11/05/2024] Open
Abstract
Background This meta-analysis aimed to assess the treatment effects of immunotherapies in subgroups of adults with clinically isolated syndrome or relapsing forms of multiple sclerosis (MS) and the effect of potential treatment effect modifiers (TEMs). Methods Phase 2 and 3 RCTs with a placebo comparator were analyzed. Risk of bias was assessed. Random-effects meta-analyses were conducted to summarize treatment effects within subgroups and differences in treatment effects between subgroups. Results Thirty-one studies were included. Age < 40 years was the strongest TEM for relapse rate across DMTs with a ratio of rate ratios (RRR) of 1.44 (95% CI 1.09-1.90; 7 studies). Disability progression was influenced by age (ratio of hazard ratios, RHR 1.59, 95% CI 1.11-2.29; 4 studies). Dichotomizing patients based on EDSS cut-offs (EDSS 2.0 and 3.0) also showed a significantly higher benefit for those less disabled for relapse rate (RRR 1.35, CI 1.03-1.76; 8 studies). Sex, baseline MRI parameters, previous immunotherapy, and clinical presentation showed no effect in this meta-analysis. Conclusion Age < 40 is a robust TEM for a lower relapse rate as well as less disability progression across six MS immunotherapies. Additionally, a lower baseline EDSS was predictive of the relapse rate.
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Affiliation(s)
- Christoph Heesen
- Institute of Neuroimmunology and Multiple Sclerosis (INIMS), University Medical Center, Hamburg, Germany
Department of Neurology, University Medical Center, Hamburg, Germany
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13
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Jiang T, Shanmugasundaram M, Božin I, Freedman MS, Lewin JB, Shen C, Ziemssen T, Arnold DL. Comparative efficacy of diroximel fumarate, ozanimod and interferon beta-1a for relapsing multiple sclerosis using matching-adjusted indirect comparisons. J Comp Eff Res 2024; 13:e230161. [PMID: 39158844 PMCID: PMC11428343 DOI: 10.57264/cer-2023-0161] [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: 12/20/2023] [Accepted: 07/26/2024] [Indexed: 08/20/2024] Open
Abstract
Aim: Diroximel fumarate (DRF), ozanimod (OZA) and interferon beta-1a (IFN) are disease-modifying therapies approved for the treatment of relapsing multiple sclerosis. No randomized trials have compared DRF versus OZA and IFN. We compared DRF versus OZA and DRF versus IFN using matching-adjusted indirect comparisons for efficacy outcomes, including annualized relapse rate (ARR), 12- and 24-week confirmed disability progression (CDP) and absence of gadolinium-enhancing (Gd+) T1 lesions and new/newly enlarging T2 lesions. Patients & methods: We used individual patient data from EVOLVE-MS-1 (NCT02634307), a 2-year, open-label, single-arm, phase III study of DRF (n = 1057) and aggregate data from RADIANCE (NCT02047734), a 2-year, double-blind, phase III study that compared OZA 1 mg once daily (n = 433) and intramuscular IFN 30 μg once weekly (n = 441). To account for cross-trial differences, the EVOLVE-MS-1 population was restricted to those who met the inclusion/exclusion criteria for RADIANCE, then weighted to match the average baseline characteristics of RADIANCE. Results: After weighting, DRF and OZA had similar ARRs (0.18 and 0.17, respectively), with a rate difference (DRF vs OZA) of 0.01 (95% confidence interval [CI]: -0.04 to 0.06). DRF had a lower ARR than IFN (0.18 and 0.28, respectively), with a rate difference (DRF vs IFN) of -0.10 (95% CI: -0.16 to -0.04) after weighting. Outcomes for 12- and 24-week CDP favored DRF versus OZA; 12-week CDP favored DRF versus IFN, but there was not strong evidence favoring DRF over IFN for 24-week CDP. Compared with OZA and IFN, DRF had higher proportions of patients without Gd+ T1 lesions and patients without new/newly enlarging T2 lesions. Conclusion: Disability progression and radiological outcomes were favorable for DRF versus OZA, although no differences were observed in ARR. Clinical and radiological outcomes generally favored DRF versus IFN. These findings may be informative for patients and clinicians considering different treatment options for MS.
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Affiliation(s)
| | | | | | - Mark S Freedman
- University of Ottawa, Department of Medicine & the Ottawa Hospital Research Institute, Ottawa, ON K1H 8L6, Canada
| | | | | | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Carl Gustav Carus University Hospital, 01307, Dresden, Germany
| | - Douglas L Arnold
- Montreal Neurological Institute, McGill University, Montreal, QC H3A 2B4, Canada
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14
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Amatya B, Khan F, Song K, Galea M. Effectiveness of Non-Pharmacological Interventions for Spasticity Management in Multiple Sclerosis: A Systematic Review. Ann Rehabil Med 2024; 48:305-343. [PMID: 39497494 PMCID: PMC11540453 DOI: 10.5535/arm.240064] [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: 07/15/2024] [Revised: 08/26/2024] [Accepted: 09/05/2024] [Indexed: 11/08/2024] Open
Abstract
This systematic review aims to determine the effectiveness of non-pharmacological interventions for the management of spasticity in people with multiple sclerosis (pwMS). A comprehensive literature search in health science databases (MEDLINE, Embase, CENTRAL, CINHAL) was performed to identify randomized controlled trials (RCTs) (up to April 2024). Manual searching in journals and screening of the reference lists of identified studies were conducted. Two authors independently selected the studies, assessed the methodological quality, and summarized the evidence. A meta-analysis was not feasible due to the methodological, clinical, and statistical diversity of the included studies. Overall, 32 RCTs (n=1,481 participants) investigated various types of non-pharmacological interventions including: physical activity, transcranial magnetic stimulation (intermittent theta burst stimulation [iTBS], repetitive transcranial magnetic stimulation [rTMS]), electromagnetic therapy, transcutaneous electrical nerve stimulation, vibration therapy, shock wave therapy, self-management educational programs, and acupuncture. All studies scored 'low' on the methodological quality assessment, implying a high risk of bias. The findings suggest 'moderate to low certainty' evidence for physical activity programs used in isolation or combination with other interventions (pharmacological or non-pharmacological), and for iTBS/rTMS with or without adjuvant exercise therapy in improving spasticity in adults with MS. There is 'very low certainty' evidence supporting the use of other modalities for treating spasticity in this population. Despite a wide range of non-pharmacological interventions used for the management of spasticity in pwMS, there is a lack of conclusive evidence for many. More robust trials with larger sample sizes and longer-term follow-ups are needed to build evidence for these interventions.
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Affiliation(s)
- Bhasker Amatya
- Department of Rehabilitation Medicine, Royal Melbourne Hospital, Melbourne, Australia
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Rehabilitation, Peter MacCallum Cancer Centre, Parkville, Australia
- Australian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, Australia
| | - Fary Khan
- Department of Rehabilitation Medicine, Royal Melbourne Hospital, Melbourne, Australia
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Department of Rehabilitation, Peter MacCallum Cancer Centre, Parkville, Australia
- Australian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, Australia
| | - Krystal Song
- Department of Rehabilitation Medicine, Royal Melbourne Hospital, Melbourne, Australia
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Australian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, Australia
| | - Mary Galea
- Department of Rehabilitation Medicine, Royal Melbourne Hospital, Melbourne, Australia
- Department of Medicine, University of Melbourne, Melbourne, Australia
- Australian Rehabilitation Research Centre, Royal Melbourne Hospital, Parkville, Australia
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15
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Friesen E, Hari K, Sheft M, Thiessen JD, Martin M. Magnetic resonance metrics for identification of cuprizone-induced demyelination in the mouse model of neurodegeneration: a review. MAGMA (NEW YORK, N.Y.) 2024; 37:765-790. [PMID: 38635150 DOI: 10.1007/s10334-024-01160-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 03/17/2024] [Accepted: 03/26/2024] [Indexed: 04/19/2024]
Abstract
Neurodegenerative disorders, including Multiple Sclerosis (MS), are heterogenous disorders which affect the myelin sheath of the central nervous system (CNS). Magnetic Resonance Imaging (MRI) provides a non-invasive method for studying, diagnosing, and monitoring disease progression. As an emerging research area, many studies have attempted to connect MR metrics to underlying pathophysiological presentations of heterogenous neurodegeneration. Most commonly, small animal models are used, including Experimental Autoimmune Encephalomyelitis (EAE), Theiler's Murine Encephalomyelitis (TMEV), and toxin models including cuprizone (CPZ), lysolecithin, and ethidium bromide (EtBr). A contrast and comparison of these models is presented, with focus on the cuprizone model, followed by a review of literature studying neurodegeneration using MRI and the cuprizone model. Conventional MRI methods including T1 Weighted (T1W) and T2 Weighted (T2W) Imaging are mentioned. Quantitative MRI methods which are sensitive to diffusion, magnetization transfer, susceptibility, relaxation, and chemical composition are discussed in relation to studying the CPZ model. Overall, additional studies are needed to improve both the sensitivity and specificity of MRI metrics for underlying pathophysiology of neurodegeneration and the relationships in attempts to clear the clinico-radiological paradox. We therefore propose a multiparametric approach for the investigation of MR metrics for underlying pathophysiology.
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Affiliation(s)
- Emma Friesen
- Chemistry, University of Winnipeg, Winnipeg, Canada.
| | - Kamya Hari
- Physics, University of Winnipeg, Winnipeg, Canada
- Electronics and Communication Engineering, SSN College of Engineering, Chennai, India
| | - Maxina Sheft
- Physics, University of Winnipeg, Winnipeg, Canada
- Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, USA
| | - Jonathan D Thiessen
- Imaging Program, Lawson Health Research Institute, London, Canada
- Medical Biophysics, Western University, London, Canada
- Medical Imaging, Western University, London, Canada
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16
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Bsteh G, Aicher ML, Walde JF, Krajnc N, Haider L, Traxler G, Gradl C, Salmen A, Riedl K, Poskaite P, Leyendecker P, Altmann P, Auer M, Berek K, Di Pauli F, Kornek B, Leutmezer F, Rommer PS, Zulehner G, Zrzavy T, Deisenhammer F, Chan A, Berger T, Hoepner R, Hammer H, Hegen H. Association of Disease-Modifying Treatment With Outcome in Patients With Relapsing Multiple Sclerosis and Isolated MRI Activity. Neurology 2024; 103:e209752. [PMID: 39197111 DOI: 10.1212/wnl.0000000000209752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Isolated value of MRI metrics in relapsing multiple sclerosis (RMS) as a surrogate marker of response to disease-modifying treatment (DMT) and, thus, as decision criteria for DMT escalation in the absence of clinical signs of disease activity is still a matter of debate. The aim of this study was to investigate whether DMT escalation based on isolated MRI activity affects clinical outcome. METHODS Combining data from 5 MS centers in Austria and Switzerland, we included patients with RMS aged at least 18 years who (1) had initiated first-line, low-to-moderate-efficacy DMT (interferon β, glatiramer acetate, teriflunomide, or dimethyl fumarate) continued for ≥12 months, (2) were clinically stable (no relapses or disability progression) on DMT for 12 months, (3) had MRI at baseline and after 12 months on DMT, and (4) had available clinical follow-up for ≥2 years after the second MRI. The primary endpoint was occurrence of relapse during follow-up. The number of new T2 lesions (T2L) and DMT strategy (continuing low-/moderate-efficacy DMT vs escalating DMT) were used as covariates in regression analyses. RESULTS A total of 131 patients with RMS, median age of 36 (25th-75th percentiles: 29-43) years, 73% women, were included and observed over a median period of 6 (5-9) years after second MRI. Sixty-two (47%) patients had relapse. Patients who continued first-line DMT had a 3-fold increased risk of relapse given 2 new T2L (hazard ratio [HR] 3.2, lower limit [LL] of 95% CI: 1.5) and a 4-fold increased risk given ≥3 new T2L (HR 4.0, LL-CI: 2.1). Escalation of DMT lowered the risk of relapse in patients with 2 new T2L by approximately 80% (HR 0.2, upper limit [UL] of 95% CI: 1.3) and with ≥3 new T2L by 70% (HR 0.3, UL-CI: 0.8). In case of only 1 new T2L, the increased risk of relapse and the treatment effect did not reach statistical significance of 5%. DISCUSSION In our real-world cohort of patients clinically stable under low-to-moderate-efficacy DMT, escalation of DMT based on isolated MRI activity decreased risk of further relapse when at least 2 new T2L had occurred. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that clinically stable patients with MS on low-/moderate-efficacy DMT with ≥3 new T2L on MRI who escalate DMT have a reduced risk of relapse and Expanded Disability Status Scale progression.
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Affiliation(s)
- Gabriel Bsteh
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Marie L Aicher
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Janette F Walde
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Nik Krajnc
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Lukas Haider
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Gerhard Traxler
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Christiane Gradl
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Anke Salmen
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Katharina Riedl
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Paulina Poskaite
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Philipp Leyendecker
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Patrick Altmann
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Michael Auer
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Klaus Berek
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Franziska Di Pauli
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Barbara Kornek
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Fritz Leutmezer
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Paulus S Rommer
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Gudrun Zulehner
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Tobias Zrzavy
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Florian Deisenhammer
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Andrew Chan
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Thomas Berger
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Robert Hoepner
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Helly Hammer
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
| | - Harald Hegen
- From the Department of Neurology (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), and Comprehensive Center for Clinical Neurosciences & Mental Health (G.B., N.K., K.R., P.A., B.K., F.L., P.S.R., G.Z., T.Z., T.B.), Medical University of Vienna, Austria; Department of Neurology (M.L.A., A.S., A.C., R.H., H. Hammer), Inselspital, Bern University Hospital and University of Bern, Switzerland; Department of Statistics (J.F.W.), Faculty of Economics and Statistics, University of Innsbruck; Department of Biomedical Imaging and Image Guided Therapy (L.H.), Clinical Department of Neuroradiology and Musculoskeletal Radiology, Medical University of Vienna; Department of Neurology 2 (G.T.), Med Campus III, Kepler University Hospital GmbH, Linz; Department of Neurology (C.G.), Medical University of St. Pölten; and Departments of Neuroradiology (P.P.) and Neurology (P.L., M.A., K.B., F.D.P., F.D., H. Hegen), Medical University of Innsbruck, Austria
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Wu J, Olsson T, Hillert JA, Alfredsson L, Hedström AK. Association Between Alcohol Consumption and Disability Accumulation in Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200289. [PMID: 39088840 PMCID: PMC11379438 DOI: 10.1212/nxi.0000000000200289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/03/2024]
Abstract
BACKGROUND AND OBJECTIVES Previous studies have indicated that alcohol consumption is associated with multiple sclerosis (MS) disease progression. We aimed to study the influence of alcohol consumption habits on disease progression and health-related quality of life in MS. METHODS We categorized patients from 2 population-based case-control studies by alcohol consumption habits at diagnosis and followed them up to 15 years after diagnosis through the Swedish MS registry regarding changes in the Expanded Disability Status Scale (EDSS) and Multiple Sclerosis Impact Scale 29 (MSIS-29). We used Cox regression models with 95% confidence intervals (CIs) using 24-week confirmed disability worsening, EDSS 3, EDSS 4, and physical and psychological worsening from the patient's perspective as end points. RESULTS Our study comprised 9,051 patients with MS, with a mean age of 37.5 years at baseline/diagnosis. Compared with nondrinking, low and moderate alcohol consumption was associated with reduced risk of EDSS-related unfavorable outcomes (hazard ratios between 0.81 and 0.90) and with reduced risk of physical worsening. The inverse association was confined to relapsing-remitting MS and was more pronounced among women. High alcohol consumption did not significantly affect disease progression. The inverse relationship between low-moderate alcohol consumption and disability progression became stronger when we only included those who had not changed their alcohol consumption during follow-up (hazard ratios between 0.63 and 0.71). There were no differences in measures of disability at baseline between drinkers who continued drinking alcohol after diagnosis and those who later discontinued. Our findings speak against bias due to reverse causation. DISCUSSION Low and moderate alcohol consumption was associated with more favorable outcomes in relapsing-remitting MS, compared with nondrinking, while there was no significant influence of high alcohol consumption on disease outcomes.
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Affiliation(s)
- Jing Wu
- From the Institute of Environmental Medicine (J.W., L.A.); Department of Clinical Neuroscience (T.O., J.A.H., L.A., A.K.H.), Karolinska Institutet; and Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm, Stockholm, Sweden
| | - Tomas Olsson
- From the Institute of Environmental Medicine (J.W., L.A.); Department of Clinical Neuroscience (T.O., J.A.H., L.A., A.K.H.), Karolinska Institutet; and Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm, Stockholm, Sweden
| | - Jan A Hillert
- From the Institute of Environmental Medicine (J.W., L.A.); Department of Clinical Neuroscience (T.O., J.A.H., L.A., A.K.H.), Karolinska Institutet; and Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm, Stockholm, Sweden
| | - Lars Alfredsson
- From the Institute of Environmental Medicine (J.W., L.A.); Department of Clinical Neuroscience (T.O., J.A.H., L.A., A.K.H.), Karolinska Institutet; and Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm, Stockholm, Sweden
| | - Anna Karin Hedström
- From the Institute of Environmental Medicine (J.W., L.A.); Department of Clinical Neuroscience (T.O., J.A.H., L.A., A.K.H.), Karolinska Institutet; and Centre for Occupational and Environmental Medicine (L.A.), Region Stockholm, Stockholm, Sweden
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18
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Schmidt MF, Pihl-Jensen G, Larsen M, Frederiksen JL. Longitudinal Optical Coherence Tomography Imaging Reveals Hyperreflective Foci Characteristics in Relapsing-Remitting Multiple Sclerosis Patients. J Clin Med 2024; 13:5056. [PMID: 39274270 PMCID: PMC11396612 DOI: 10.3390/jcm13175056] [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: 07/02/2024] [Revised: 08/13/2024] [Accepted: 08/20/2024] [Indexed: 09/16/2024] Open
Abstract
Background/Objectives: Retinal hyperreflective foci, 25-50 µm in diameter, that can be imaged by noninvasive optical coherence tomography (OCT) may represent microglial activity related to inflammation. This study aimed to detect hyperreflective foci in the OCT-hyporeflective avascular outer nuclear layer of the retina in relapsing-remitting MS (RRMS) patients without ongoing eye or optic nerve disease. Methods: A cohort of 13 RRMS patients (8 eyes with and 18 eyes without prior optic neuritis) underwent retinal OCT at baseline, after 1 month, after 6 months, and then every 6 months for 3 years. The data were compared with single-examination data from 106 eyes in 53 age-matched healthy subjects. Results: The prevalence of hyperreflective foci at baseline was higher in RRMS patients than in healthy subjects (46.2% vs. 1.8%, p < 0.005). Patients with optic neuritis had much more foci than those without (p < 0.001). Hyperreflective foci recurred in 23.1% of RRMS patients, bilaterally in one with prior optic neuritis and unilaterally in two without. Conclusions: Patients with RRMS, notably those with prior optic neuritis, had elevated rates of retinal infiltration in the absence of retinal disease, suggesting that the phenomenon may represent elevated activity of an immune surveillance or housekeeping mechanism rather than retinal disease.
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Affiliation(s)
- Mathias Falck Schmidt
- Department of Neurology, Clinic of Optic Neuritis, The Danish Multiple Sclerosis Center (DMSC), Rigshospitalet and University of Copenhagen, Valdemar Hansens Vej 13, 2600 Glostrup, Denmark
| | - Gorm Pihl-Jensen
- Department of Neurology, Clinic of Optic Neuritis, The Danish Multiple Sclerosis Center (DMSC), Rigshospitalet and University of Copenhagen, Valdemar Hansens Vej 13, 2600 Glostrup, Denmark
| | - Michael Larsen
- Department of Ophthalmology, Rigshospitalet and University of Copenhagen, 2600 Glostrup, Denmark
| | - Jette Lautrup Frederiksen
- Department of Neurology, Clinic of Optic Neuritis, The Danish Multiple Sclerosis Center (DMSC), Rigshospitalet and University of Copenhagen, Valdemar Hansens Vej 13, 2600 Glostrup, Denmark
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19
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Orman G, Sungur G. Evaluation of demographic and neuro-ophthalmologic findings of patients with multiple sclerosis. Int Ophthalmol 2024; 44:356. [PMID: 39183241 DOI: 10.1007/s10792-024-03285-5] [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: 05/21/2023] [Accepted: 08/17/2024] [Indexed: 08/27/2024]
Abstract
PURPOSE The study aims to investigate the demographic and neuroophthalmologic features of patients with multiple sclerosis (MS). METHODS This retrospective study investigated 270 eyes of 135 patients with MS. All subjects underwent a full ophthalmological examination. RESULTS The study investigated 270 eyes of 135 patients with MS. The patients included 102 (74.8%) females and 34 (25.2%) males. The mean age at the time of diagnosis of MS was 29.9 ± 9.6 years. The mean follow-up period was 6.7 ± 10.9 months. Initial symptoms of MS at presentation included optic neuritis (ON) in 42 patients (15.6%), numbness of hands and feet in 20 patients (7.4%) and diplopia in 11 patients (4.1%). Additional diseases were observed in 29 patients (21.5%) and autoimmune diseases were observed in 11 patients (8.1%). Thirteen patients (9.62%) had relatives with MS; the relatives of five patients were first-degree relatives and the relatives of the remaining eight patients were second-degree relatives. Table 2 summarizes the additional systemic and ocular diseases and family history data. During MS, 72 patients (53.4%) were diagnosed with ON. ON was bilateral in 49 patients (68%) and unilateral in 23 patients (32%). Retrobulbar ON was observed in 77 eyes (81.6%) and papillitis was observed in 18 eyes (18.4%). Disorders of efferent visual pathway function were found in 43 patients (30.4%). CONCLUSION Visual impairments are significant in patients with MS. Although ON is the most prevalent symptom of MS, it is important to keep in mind that damage to the efferent visual system can be observed.
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Affiliation(s)
- Gözde Orman
- Department of Ophthalmology, Health Science University Ankara Training and Researching Hospital, Ankara, Turkey.
- Department of Ophthalmology, Health Science Univercity, Ankara Training and Researching Hospital, Ankara, Turkey.
| | - Gülten Sungur
- Department of Ophthalmology, Health Science University Ankara Training and Researching Hospital, Ankara, Turkey
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Schuhholz M, Ruff C, Bürkle E, Feiweier T, Clifford B, Kowarik M, Bender B. Ultrafast Brain MRI at 3 T for MS: Evaluation of a 51-Second Deep Learning-Enhanced T2-EPI-FLAIR Sequence. Diagnostics (Basel) 2024; 14:1841. [PMID: 39272626 PMCID: PMC11393910 DOI: 10.3390/diagnostics14171841] [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: 06/15/2024] [Revised: 08/18/2024] [Accepted: 08/20/2024] [Indexed: 09/15/2024] Open
Abstract
In neuroimaging, there is no equivalent alternative to magnetic resonance imaging (MRI). However, image acquisitions are generally time-consuming, which may limit utilization in some cases, e.g., in patients who cannot remain motionless for long or suffer from claustrophobia, or in the event of extensive waiting times. For multiple sclerosis (MS) patients, MRI plays a major role in drug therapy decision-making. The purpose of this study was to evaluate whether an ultrafast, T2-weighted (T2w), deep learning-enhanced (DL), echo-planar-imaging-based (EPI) fluid-attenuated inversion recovery (FLAIR) sequence (FLAIRUF) that has targeted neurological emergencies so far might even be an option to detect MS lesions of the brain compared to conventional FLAIR sequences. Therefore, 17 MS patients were enrolled prospectively in this exploratory study. Standard MRI protocols and ultrafast acquisitions were conducted at 3 tesla (T), including three-dimensional (3D)-FLAIR, turbo/fast spin-echo (TSE)-FLAIR, and FLAIRUF. Inflammatory lesions were grouped by size and location. Lesion conspicuity and image quality were rated on an ordinal five-point Likert scale, and lesion detection rates were calculated. Statistical analyses were performed to compare results. Altogether, 568 different lesions were found. Data indicated no significant differences in lesion detection (sensitivity and positive predictive value [PPV]) between FLAIRUF and axially reconstructed 3D-FLAIR (lesion size ≥3 mm × ≥2 mm) and no differences in sensitivity between FLAIRUF and TSE-FLAIR (lesion size ≥3 mm total). Lesion conspicuity in FLAIRUF was similar in all brain regions except for superior conspicuity in the occipital lobe and inferior conspicuity in the central brain regions. Further findings include location-dependent limitations of signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) as well as artifacts such as spatial distortions in FLAIRUF. In conclusion, FLAIRUF could potentially be an expedient alternative to conventional methods for brain imaging in MS patients since the acquisition can be performed in a fraction of time while maintaining good image quality.
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Affiliation(s)
- Martin Schuhholz
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls University, University Hospital, 72076 Tübingen, Germany
| | - Christer Ruff
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls University, University Hospital, 72076 Tübingen, Germany
| | - Eva Bürkle
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls University, University Hospital, 72076 Tübingen, Germany
| | | | | | - Markus Kowarik
- Department of Neurology and Stroke, Neurological Clinic, Eberhard Karls University, University Hospital, 72076 Tübingen, Germany
| | - Benjamin Bender
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls University, University Hospital, 72076 Tübingen, Germany
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Nyári A, Kokas Z, Szamosi S, Fricska-Nagy Z, Kincses ZT, Füvesi J, Biernacki T, Klivényi P, Bencsik K, Sandi D. Fatigue and depression influence the prevalence of anxiety in patients with multiple sclerosis. Neurol Sci 2024:10.1007/s10072-024-07737-9. [PMID: 39174771 DOI: 10.1007/s10072-024-07737-9] [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: 05/09/2024] [Accepted: 08/19/2024] [Indexed: 08/24/2024]
Abstract
BACKGROUND There is scarce information in Middle-Eastern Europe regarding the prevalence of anxiety in patients with multiple sclerosis (pwMS) and its association with different clinical-demographic factors. OBJECTIVE We aimed to determine the prevalence of anxiety in Hungarian MS patients and to analyze associated factors. MATERIALS AND METHODS We evaluated 260 PwMS with the STAI-5 anxiety questionnaire. Fatigue (FIS), depression (BDI-II) and cognition (BICAMS) were also measured. Patients underwent standard neurological evaluations to evaluate Expanded Disability Status Scale (EDSS), and also measured the fine motor skills of the hand with the 9-hole peg test (9HPT), and the walking distance with the 25-foot walking test (T25FW). RESULTS We identified 23.1% (N = 60) of the patients with anxiety (only state, trait or both forms concurrently). According to our two univariate, multivariable logistic regression analysis, fatigue and depression are strongly associated with both state and trait anxiety. In the absence of fatigue, the odds of trait anxiety are 82% lower (OR: 0.18; 95% CI: 0.06-0.53; p = 0.002), while in the case of pwMS without depression, the odds are reduced by 81% (OR: 0.19; CI95%= 0.07-0.51, p = 0.001). This association with fatigue (OR: 0.33; CI95%= 0.13-0.85, p = 0.021) and depression (OR: 0.14; CI95%=0.06-0.35; p < 0.001) can also be statistically verified on state anxiety. Importantly, a significant association with state anxiety was found in SPSM patients as well (OR: 34.94; CI95%=2.55-479.61; p = 0.008). CONCLUSIONS Anxiety was strongly associated with fatigue, depression, and secondary progressive disease form. These results emphasize the burden of psychiatric morbidity in pwMS.
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Affiliation(s)
- Aliz Nyári
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Zsófia Kokas
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Szabolcs Szamosi
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Zsanett Fricska-Nagy
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Zsigmond Tamás Kincses
- Department of Radiology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Judit Füvesi
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Tamás Biernacki
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Péter Klivényi
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Krisztina Bencsik
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary
| | - Dániel Sandi
- Department of Neurology, Albert Szent-Györgyi Faculty of Medicine and Clinical Center, University of Szeged, Szeged, Hungary.
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Su J, Liang Y, He X. The overall and smoking-attributable burden of multiple sclerosis among older adults aged 65-89 years from 1990 to 2019 and predictions to 2040. Front Med (Lausanne) 2024; 11:1430741. [PMID: 39238595 PMCID: PMC11374621 DOI: 10.3389/fmed.2024.1430741] [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: 05/10/2024] [Accepted: 08/13/2024] [Indexed: 09/07/2024] Open
Abstract
Background The global prevalence of aging individuals with multiple sclerosis (MS) is increasing. This study aimed to assess the burden and trends of overall and smoking-attributable MS in older adults aged 65-89 years at the global, regional, and national levels. Methods The number and rates of years of life lived with disability (YLD) and years of life lost (YLL) due to MS for older adults in 204 countries and territories from 1990 to 2019 were retrieved from the Global Burden of Disease (GBD) Study 2019. Estimated annual percentage change (EAPC) in the age-standardized YLD and YLL rates were calculated to quantify the temporal trends. The Bayesian age-period-cohort model was used to predict the trends from 2020 to 2040. Results In 2019, there were an estimated 80,040 (95% uncertainty interval 57,534 to 103,608) YLD and 139,132 (107,632 to 161,172) YLL caused by MS among older adults globally. The age-standardized YLD and YLL rates decreased by an average of -0.21% (95% CI -0.26 to -0.16) and - 0.2% (95% CI -0.26 to -0.14) per year for overall MS from 1990 to 2019, respectively. The number of YLL globally in 2019 was 7,891 (5,003 to 10,991) and 15,667 (10,833 to 20,076) due to smoking-attributable MS. The age-standardized YLD and YLL rates decreased by an annual average of -1.14% (95% CI -1.25 to -1.04) and - 1.15% (95% CI -1.27 to -1.03) for MS attributable to smoking. Although the global age-standardized rates of YLD and YLL for MS among older adults declined from 1990 to 2019, many regions showed increases. The largest increase in age-standardized YLD rate of MS was observed in East Asia (average annual change 1.62% [95% CI: 1.56 to 1.68]), while the largest increase in the age-standardized YLL rate occurred in High-income North America (1.74% [1.53 to 1.96]). Nationally, the age-standardized YLD and YLL rates for overall and smoking-attributable MS increased exponentially with increases in SDI level (all model p < 0.001). Furthermore, projections have also indicated an expected decrease in the age-standardized rates of YLD and YLL of MS in the elderly population from 2020 to 2040. Conclusion Tracking trends in MS burden among older adults provides insights into the potential shifts in disease patterns over time. The findings lay the groundwork for informed decision-making in public health and healthcare delivery, aiming to ensure that older adults with MS receive appropriate care and support.
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Affiliation(s)
- Jiao Su
- Department of Biochemistry, Changzhi Medical College, Changzhi, China
| | - Yuanhao Liang
- Clinical Experimental Center, Jiangmen Key Laboratory of Clinical Biobanks and Translational Research, Jiangmen Central Hospital, Jiangmen, China
| | - Xiaofeng He
- Institute of Evidence-Based Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China
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23
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Dolcetti E, Buttari F, Bruno A, Azzolini F, Gilio L, Borrelli A, Di Caprio V, Lauritano G, Galifi G, Gambardella S, Ferese R, Giardina E, Rovella V, Furlan R, Finardi A, Musella A, Balletta S, Mandolesi G, Centonze D, Stampanoni Bassi M. An IL-5 Single-Nucleotide Polymorphism Influences Neuroinflammation and Prospective Disease Activity in Multiple Sclerosis. Int J Mol Sci 2024; 25:9108. [PMID: 39201794 PMCID: PMC11354457 DOI: 10.3390/ijms25169108] [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: 07/08/2024] [Revised: 08/19/2024] [Accepted: 08/20/2024] [Indexed: 09/03/2024] Open
Abstract
(1) Multiple sclerosis (MS) is identified by a complex interaction between central inflammation and neurodegeneration. Genetic individual variability could play a significative role in clinical presentation. The interleukin-5 (IL-5) rs2069812 single-nucleotide polymorphism (SNP) seems to define the clinical course of Th2 autoimmune diseases, while its role in MS has never been investigated. (2) In a group of 230 patients diagnosed with relapsing-remitting MS (RR-MS) or progressive MS (P-MS) and controls (IC), rs2069812 polymorphism, cerebrospinal fluid (CSF) levels of inflammatory mediators, and clinical and demographic characteristics were determined. In RR-MS patients, No Evidence of Disease Activity (NEDA-3) at three years of follow-up was detected. (3) We identified higher levels of proinflammatory cytokines, particularly IL-2 (median [IQR], RR-MS = 0.2 [0-0.7]; P-MS = 0.1 [0-1.6]; IC = 0.1 [0.0-0.1]; p < 0.005), IL-6 (RR-MS = 0.9 [0.3-2.3]; P-MS = 0.8 [0.1-2.7]; IC = 0.1 [0.0-0.5]; p < 0.005), IL-12 (RR-MS = 0.5 [0-1.1]; P-MS = 0.5 [0-1.1]; IC = 0.0 [0.0-0.3]; p < 0.005), and GM-CSF (RR-MS = 15.6 [4.8-26.4]; P-MS = 14 [3.3-29.7]; IC = 8.9 [4.7-11.7]; p < 0.005) in MS patients compared with IC. Conversely, anti-inflammatory cytokines, specifically IL-5 (RR-MS = 0.65 [0-2.4]; P-MS = 0.1 [0-0.8]; IC = 1.7 [0.6-2.8]; p < 0.005) and IL-1ra (RR-MS = 14.7 [4.9-26.4]; P-MS = 13.1 [4.7-22.2]; IC = 27.8 [17.7-37.6]; p < 0.005) were higher in controls. According to rs2069812, in MS patients, the T-allele was associated with higher concentrations of proinflammatory mediators (IL-2, CT/TT = 0.2 [0.0-2.0]; CC = 0.1 [0.0-0.4], p = 0.015; IL-6, CT/TT = 1.2 [0.4-3.2] vs. CC = 0.7 [0.1-1.7], p = 0.007; IL-15, CT/TT = 0.1 [0.0-9.5] vs. CC = 0.0 [0.0-0.1], p = 0.019; and GM-CSF, CT/TT = 0.1 [0.0-0.6] vs. CC = 0.05 [0.0-0.1], p < 0.001), and CC was associated with anti-inflammatory mediators (IL-5, CT/TT = 0.03 [0.0-1.9] vs. CC = 1.28 [0.0-2.7], p = 0.001; IL-1ra, CT/TT = 12.1 [4.1-25.9] vs. CC = 18.1 [12.1-26.9], p = 0.006). We found the same differences in RR-MS patients (IL-2, T-allele median [IQR] = 0.3 [0.0-2.0] vs. C-allele, median [IQR] = 0.04 [0.0-0.3]; p = 0.005; IL-6, T-allele, median [IQR] = 1.3 [0.4-3.3] vs. C-allele, median [IQR] = 0.6 [0.03-1.5]; p = 0.001; IL-15, T-allele, median [IQR] = 0.1 [0.0-9.5] vs. C-allele, median [IQR] = 0.0 [0.0-0.1]; p = 0.008; GM-CSF, T-allele, median [IQR] = 0.1 [0.0-97.9] vs. C-allele, median [IQR] = 0.0 [0.0-0.001]; p < 0.001; IL-5, T-allele, median [IQR] = 0.02 [0.0-2.2] vs. C-allele, median [IQR] = 1.5 [0.0-2.9]; p = 0.016; and IL-1ra, T-allele, median [IQR] = 12.1 [4.3-26.4] vs. C-allele, median [IQR] = 18.5 [12.7-28.3]; p = 0.006) but not in P-MS, except for IL-5 (T-allele, median [IQR] = 0.1 [0-0.23] vs. C-allele, median [IQR] = 0.6 [0.0-2.5]; p = 0.022). Finally, we identified an association between CC in RR-MS patients and NEDA-3 after three years of follow-up (p = 0.007). (4) We describe, for the first time, the role of an SNP of the IL-5 gene in regulating central neuroinflammation and influencing clinical course in MS patients.
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Affiliation(s)
- Ettore Dolcetti
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- PhD Program in Neuroscience, Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Fabio Buttari
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy;
| | - Antonio Bruno
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- PhD Program in Neuroscience, Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Federica Azzolini
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
| | - Luana Gilio
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- Faculty of Psychology, Uninettuno Telematic International University, 00186 Rome, Italy
| | - Angela Borrelli
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- PhD Program in Neuroscience, Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Veronica Di Caprio
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- PhD Program in Neuroscience, Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Gianluca Lauritano
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
| | - Giovanni Galifi
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- PhD Program in Neuroscience, Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Stefano Gambardella
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- Department of Biomolecular Sciences, University of Urbino “Carlo Bo”, Via I Maggetti, 26, 61029 Urbino, Italy
| | - Rosangela Ferese
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
| | - Emiliano Giardina
- Genomic Medicine Laboratory, IRCCS Fondazione Santa Lucia, Via Ardeatina, 00179 Rome, Italy;
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy
| | - Valentina Rovella
- Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy;
| | - Roberto Furlan
- Clinical Neuroimmunology Unit, Institute of Experimental Neurology (INSpe), Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 20132 Milan, Italy;
- Faculty of Medicine and Surgery, Vita e Salute San Raffaele University, Via Olgettina, 20132 Milan, Italy;
| | - Annamaria Finardi
- Faculty of Medicine and Surgery, Vita e Salute San Raffaele University, Via Olgettina, 20132 Milan, Italy;
| | - Alessandra Musella
- Synaptic Immunopathology Lab, IRCCS San Raffaele Roma, Via della Pisana, 235, 00163 Rome, Italy; (A.M.); (G.M.)
- Department of Human Sciences and Quality of Life Promotion, University of Rome San Raffaele, Via della Pisana, 235, 00163 Rome, Italy
| | - Sara Balletta
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
| | - Georgia Mandolesi
- Synaptic Immunopathology Lab, IRCCS San Raffaele Roma, Via della Pisana, 235, 00163 Rome, Italy; (A.M.); (G.M.)
- Department of Human Sciences and Quality of Life Promotion, University of Rome San Raffaele, Via della Pisana, 235, 00163 Rome, Italy
| | - Diego Centonze
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
- Department of Systems Medicine, University of Rome Tor Vergata, Via Montpellier 1, 00133 Rome, Italy;
| | - Mario Stampanoni Bassi
- Neurology Unit, IRCCS Neuromed, Via Atinense 18, 86077 Pozzilli, Italy; (E.D.); (F.B.); (A.B.); (F.A.); (L.G.); (A.B.); (V.D.C.); (G.L.); (G.G.); (S.G.); (R.F.); (S.B.); (M.S.B.)
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Wu JY, Yang JL, Hu JL, Xu S, Zhang XJ, Qian SY, Chen ML, Ali MA, Zhang J, Zha Z, Zheng GQ. Reporting quality and risk of bias of randomized controlled trials of Chinese herbal medicine for multiple sclerosis. Front Immunol 2024; 15:1429895. [PMID: 39229262 PMCID: PMC11369894 DOI: 10.3389/fimmu.2024.1429895] [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: 05/08/2024] [Accepted: 07/22/2024] [Indexed: 09/05/2024] Open
Abstract
Background Multiple sclerosis (MS) is the most common non-traumatic disabling disease affecting young adults. A definitive curative treatment is currently unavailable. Many randomized controlled trials (RCTs) have reported the efficacy of Chinese herbal medicine (CHM) on MS. Because of the uncertain quality of these RCTs, the recommendations for routine use of CHM for MS remain inconclusive. The comprehensive evaluation of the quality of RCTs of CHM for MS is urgent. Methods Nine databases, namely, PubMed, Embase, Web of Science, Cochrane Library, EBSCO, Sinomed, Wanfang Database, China National Knowledge Infrastructure, and VIP Database, were searched from inception to September 2023. RCTs comparing CHM with placebo or pharmacological interventions for MS were considered eligible. The Consolidated Standards of Reporting Trials (CONSORT) and its extension for CHM formulas (CONSORT-CHM Formulas) checklists were used to evaluate the reporting quality of RCTs. The risk of bias was assessed using the Cochrane Risk of Bias tool. The selection criteria of high-frequency herbs for MS were those with cumulative frequency over 50% among the top-ranked herbs. Results A total of 25 RCTs were included. In the included RCTs, 33% of the CONSORT items and 21% of the CONSORT-CHM Formulas items were reported. Eligibility title, sample size calculation, allocation concealment, randomized implementation, and blinded description in CONSORT core items were reported by less than 5% of trials. For the CONSORT-CHM Formulas, the source and authentication method of each CHM ingredient was particularly poorly reported. Most studies classified the risk of bias as "unclear" due to insufficient information. The top five most frequently used herbs were, in order, Radix Rehmanniae Preparata, Radix Rehmanniae Recens, Herba Epimedii, Scorpio, and Poria. No serious adverse effect had been reported. Conclusions The low reporting of CONSORT items and the unclear risk of bias indicate the inadequate quality of RCTs in terms of reporting completeness and result validity. The CONSORT-CHM Formulas appropriately consider the unique characteristics of CHM, including principles, formulas, and Chinese medicinal substances. To improve the quality of RCTs on CHM for MS, researchers should adhere more closely to CONSORT-CHM Formulas guidelines and ensure comprehensive disclosure of all study design elements.
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Affiliation(s)
- Jing-Ying Wu
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Jiang-Li Yang
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Jia-Ling Hu
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Shan Xu
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Xiao-Jie Zhang
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Shi-Yan Qian
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Min-Li Chen
- Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Mahad Abdulkadir Ali
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Juan Zhang
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Zheng Zha
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
| | - Guo-Qing Zheng
- Department of Neurology, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, China
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25
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Mariottini A, Stack EH, Nair G, Nozzoli C, Wu T, Marchi L, Boncompagni R, Repice AM, Fainardi E, Pasquale FD, Carlesi E, Saccardi R, Jacobson S, Massacesi L. Spinal cord size as promising biomarker of disability outcomes after hematopoietic stem cell transplantation in multiple sclerosis. Mult Scler Relat Disord 2024; 88:105745. [PMID: 38996712 DOI: 10.1016/j.msard.2024.105745] [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: 01/30/2024] [Revised: 05/20/2024] [Accepted: 06/20/2024] [Indexed: 07/14/2024]
Abstract
BACKGROUND Biomarkers predictive of disability outcomes in individual multiple sclerosis (MS) patients undergoing autologous haematopoietic stem cell transplantation (AHSCT) are currently lacking. As correlations between spinal cord atrophy and clinical disability in MS were previously described, in this study spinal cord size was investigated in MS patients treated with AHSCT, exploring whether baseline spinal cord volume may predict disability progression after AHSCT. METHODS relapsing-remitting (RR-) and secondary-progressive (SP-) MS patients treated with AHSCT (BEAM/ATG regimen) at a single academic centre in Florence, who performed at least two standardized brain magnetic resonance imaging (MRIs) scans (acquired between one-year pre-AHSCT to 5 years after AHSCT) were included. Cervical spinal cord atrophy was estimated as upper cervical spinal cord cross-sectional area (SCCSA). Brain volume loss (BVL) was analysed at the same timepoints. RESULTS Eleven (8 RR-; 3 SP-) MS patients were included. Over a median follow-up of 66 (range 37 - 100) months, no relapses nor brain MRI activity were observed; disability progressed in 2 cases (both SP-MS). Baseline SCCSA was associated with EDSS change between pre- and one-year post-AHSCT. Compared to patients who stabilized, patients who progressed after AHSCT tended to have lower SCCSA at C4 level at baseline and year 1 after AHSCT. Longitudinal changes in SCCSA or BVL did not correlate with EDSS change. CONCLUSIONS Baseline pre-AHSCT SCCSA, but not its longitudinal changes nor BVL, predicted EDSS change within the two years following AHSCT. SCCSA may represent a biomarker of treatment response and a promising screening tool for assessing patient eligibility for high-impact treatments such as AHSCT.
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Affiliation(s)
- Alice Mariottini
- Department of Neurofarba, University of Florence, Florence, Italy; Department of Neurology 2 and Tuscan Region Multiple Sclerosis Referral Centre, Careggi University Hospital, Florence, Italy
| | - Emily H Stack
- National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, 20892 USA
| | - Govind Nair
- National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, 20892 USA
| | - Chiara Nozzoli
- Cell Therapy and Transfusion Medicine Unit, Careggi University Hospital, Florence, Italy
| | - Tianxia Wu
- National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, 20892 USA
| | - Leonardo Marchi
- Department of Neurofarba, University of Florence, Florence, Italy
| | - Riccardo Boncompagni
- Cell Therapy and Transfusion Medicine Unit, Careggi University Hospital, Florence, Italy
| | - Anna Maria Repice
- Department of Neurology 2 and Tuscan Region Multiple Sclerosis Referral Centre, Careggi University Hospital, Florence, Italy
| | - Enrico Fainardi
- Neuroradiology Unit, Department of Experimental and Clinical Biomedical Sciences "Mario Serio", University of Florence, Florence, Italy; Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Francesca Di Pasquale
- Diagnostic Imaging Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
| | - Edoardo Carlesi
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Riccardo Saccardi
- Cell Therapy and Transfusion Medicine Unit, Careggi University Hospital, Florence, Italy
| | - Steven Jacobson
- National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD, 20892 USA
| | - Luca Massacesi
- Department of Neurofarba, University of Florence, Florence, Italy; Department of Neurology 2 and Tuscan Region Multiple Sclerosis Referral Centre, Careggi University Hospital, Florence, Italy.
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26
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Roos I, Sharmin S, Malpas C, Ozakbas S, Lechner-Scott J, Hodgkinson S, Alroughani R, Eichau Madueño S, Boz C, van der Walt A, Butzkueven H, Buzzard K, Skibina O, Foschi M, Grand'Maison F, John N, Grammond P, Terzi M, Prévost J, Barnett M, Laureys G, Van Hijfte L, Luis Sanchez-Menoyo J, Blanco Y, Oh J, McCombe P, Ramo Tello C, Soysal A, Prat A, Duquette P, Yamout BI, Khoury S, van Pesch V, Macdonell R, José Sá M, Slee M, Kuhle J, Maimone D, Spitaleri DLA, Willekens B, Asmi AA, Tallantyre E, Robertson NP, Coles A, L Brown JW, Kalincik T. Effectiveness of cladribine compared to fingolimod, natalizumab, ocrelizumab and alemtuzumab in relapsing-remitting multiple sclerosis. Mult Scler 2024; 30:1163-1175. [PMID: 39087208 DOI: 10.1177/13524585241267211] [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: 08/02/2024]
Abstract
BACKGROUND Comparisons between cladribine and other potent immunotherapies for multiple sclerosis (MS) are lacking. OBJECTIVES To compare the effectiveness of cladribine against fingolimod, natalizumab, ocrelizumab and alemtuzumab in relapsing-remitting MS. METHODS Patients with relapsing-remitting MS treated with cladribine, fingolimod, natalizumab, ocrelizumab or alemtuzumab were identified in the global MSBase cohort and two additional UK centres. Patients were followed for ⩾6/12 and had ⩾3 in-person disability assessments. Patients were matched using propensity score. Four pairwise analyses compared annualised relapse rates (ARRs) and disability outcomes. RESULTS The eligible cohorts consisted of 853 (fingolimod), 464 (natalizumab), 1131 (ocrelizumab), 123 (alemtuzumab) or 493 (cladribine) patients. Cladribine was associated with a lower ARR than fingolimod (0.07 vs. 0.12, p = 0.006) and a higher ARR than natalizumab (0.10 vs. 0.06, p = 0.03), ocrelizumab (0.09 vs. 0.05, p = 0.008) and alemtuzumab (0.17 vs. 0.04, p < 0.001). Compared to cladribine, the risk of disability worsening did not differ in patients treated with fingolimod (hazard ratio (HR) 1.08, 95% confidence interval (CI) 0.47-2.47) or alemtuzumab (HR 0.73, 95% CI 0.26-2.07), but was lower for patients treated with natalizumab (HR 0.35, 95% CI 0.13-0.94) and ocrelizumab (HR 0.45, 95% CI 0.26-0.78). There was no evidence for a difference in disability improvement. CONCLUSION Cladribine is an effective therapy that can be viewed as a step up in effectiveness from fingolimod, but is less effective than the most potent intravenous MS therapies.
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Affiliation(s)
- Izanne Roos
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia; Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Sifat Sharmin
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia; Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | - Charles Malpas
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia; Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
| | | | - Jeannette Lechner-Scott
- Hunter Medical Research Institute, The University of Newcastle, Newcastle, NSW, Australia/John Hunter Hospital, Hunter New England Health, Newcastle, NSW, Australia
| | - Suzanne Hodgkinson
- Immune Tolerance Laboratory Ingham Institute and Department of Medicine, UNSW, Sydney, NSW, Australia
| | - Raed Alroughani
- Division of Neurology, Department of Medicine, Amiri Hospital, Sharq, Kuwait
| | | | - Cavit Boz
- Faculty of Medicine, Karadeniz Technical University, Trabzon, Turkey
| | - Anneke van der Walt
- Department of Neurology, The Alfred Hospital, Melbourne, VIC, Australia; Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Helmut Butzkueven
- Department of Neurology, The Alfred Hospital, Melbourne, VIC, Australia; Department of Neuroscience, Central Clinical School, Monash University, Melbourne, VIC, Australia
| | - Katherine Buzzard
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
- Department of Neurology, Box Hill Hospital, Melbourne, VIC, Australia
- Department of Neurosciences, Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
| | - Olga Skibina
- Department of Neurology, The Alfred Hospital, Melbourne, VIC, Australia
- Department of Neurology, Box Hill Hospital, Melbourne, VIC, Australia
- Department of Neurosciences, Eastern Health Clinical School, Monash University, Melbourne, VIC, Australia
| | - Matteo Foschi
- Department of Neuroscience, Multiple Sclerosis Center, S. Maria delle Croci Hospital of Ravenna, Ravenna, Italy
- Department of Biotechnological and Applied Clinical Sciences (DISCAB), University of L'Aquila, L'Aquila, Italy
| | | | - Nevin John
- Department of Neurology, Monash Health, Melbourne, VIC, Australia
- Department of Medicine, School of Clinical Sciences, Monash University, Clayton, VIC, Australia
| | | | - Murat Terzi
- Faculty of Medicine, Ondokuz Mayis University, Samsun, Turkey
| | | | | | - Guy Laureys
- Department of Neurology, Ghent University Hospital, Ghent, Belgium
| | | | - Jose Luis Sanchez-Menoyo
- Department of Neurology, Hospital de Galdakao-Usansolo, Biocruces-Bizkaia Health Research Institute, Galdakao, Spain
| | - Yolanda Blanco
- Center of Neuroimmunology, Service of Neurology, Hospital Clinic de Barcelona, Barcelona, Spain
| | - Jiwon Oh
- St. Michael's Hospital, Toronto, ON, Canada
| | - Pamela McCombe
- The University of Queensland, Brisbane, QLD, Australia; Royal Brisbane and Women's Hospital, Brisbane, OLD, Australia
| | | | - Aysun Soysal
- Bakirkoy Education and Research Hospital for Psychiatric and Neurological Diseases, Istanbul, Turkey
| | - Alexandre Prat
- CHUM MS Center and Universite de Montreal, Montreal, QC, Canada
| | - Pierre Duquette
- CHUM MS Center and Universite de Montreal, Montreal, QC, Canada
| | - Bassem I Yamout
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon
| | - Samia Khoury
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon
| | | | | | - Maria José Sá
- Department of Neurology, Centro Hospitalar Universitario de Sao Joao, Porto, Portugal; Faculty of Health Sciences, University Fernando Pessoa, Porto, Portugal
| | - Mark Slee
- College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | - Jens Kuhle
- Neurology, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, Basel, Switzerland
| | - Davide Maimone
- Centro Sclerosi Multipla, UOC Neurologia, ARNAS Garibaldi, Catania, Italy
| | - Daniele LA Spitaleri
- Azienda Ospedaliera di Rilievo Nazionale San Giuseppe Moscati Avellino, Avellino, Italy
| | - Barbara Willekens
- Department of Neurology, Antwerp University Hospital, Edegem, Belgium
- Translational Neurosciences Research Group, Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
| | - Abdallah Al Asmi
- College of Medicine and Health Sciences, Sultan Qaboos University Hospital, Sultan Qaboos University, Al-Khodh, Oman
| | - Emma Tallantyre
- Department of Neurology, University Hospital of Wales; Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Neil P Robertson
- Department of Neurology, University Hospital of Wales; Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, UK
| | - Alasdair Coles
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - J William L Brown
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Tomas Kalincik
- CORe, Department of Medicine, The University of Melbourne, Melbourne, VIC, Australia; Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Melbourne, VIC, Australia
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27
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Freedman DE, Oh J, Kiss A, Puopolo J, Wishart M, Meza C, Feinstein A. The influence of depression and anxiety on cognition in people with multiple sclerosis: a cross-sectional analysis. J Neurol 2024; 271:4885-4896. [PMID: 38730098 DOI: 10.1007/s00415-024-12409-x] [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: 01/10/2024] [Revised: 04/04/2024] [Accepted: 04/26/2024] [Indexed: 05/12/2024]
Abstract
There are conflicting findings about the relationships between depression, anxiety, and cognitive dysfunction in people with multiple sclerosis (MS), and a paucity of research has examined the cumulative influence on cognition of depression plus anxiety. This study aimed to determine whether elevated symptoms of depression and anxiety alone or in combination are associated with worse cognition in people with MS. In this cross-sectional analysis, people with MS consecutively seen at a tertiary neuropsychiatry clinic completed the Hospital Anxiety and Depression Scale for symptoms of depression (HADS-D) and anxiety (HADS-A), and the Minimal Assessment of Cognitive Function in MS for cognitive indices. Accounting for covariates, regression models predicted cognitive indices from scores for HADS-D, HADS-A, and the interaction. Of 831 people with MS, 72% were female, mean age was 43.2 years, and median Expanded Disability Status Scale score was 2.0. Depressive symptoms were independently predictive of lower verbal fluency (Controlled Oral Word Association Test, p < 0.01), verbal learning (California Verbal Learning Test-II (CVLT-II) total learning, p = 0.02), verbal delayed recall (CVLT-II delayed recall, p < 0.01), and processing speed (Symbol Digit Modalities Test, p < 0.01; three-second Paced Auditory Serial Addition Test (PASAT), p = 0.05; two-second PASAT, p = 0.01). Anxiety in people with depression predicted decreased visuospatial function (Judgment of Line Orientation, p = 0.05), verbal learning (p < 0.01), verbal delayed recall (p < 0.01), visuospatial recall (Brief Visuospatial Memory Test-Revised, p = 0.02), and executive function (Delis-Kaplan Executive Function System, p < 0.01). Anxiety alone was not independently predictive of cognition. In conclusion, depression, especially with comorbid anxiety, is associated with cognitive dysfunction in people with MS.
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Affiliation(s)
- David E Freedman
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada.
| | - Jiwon Oh
- Division of Neurology, Department of Medicine, Temerty Faculty of Medicine, St. Michael's Hospital, University of Toronto, Toronto, Canada
| | - Alex Kiss
- Evaluative Clinical Sciences, Department of Health Policy, Management and Evaluation, Hurvitz Brain Sciences Program, Sunnybrook Research Institute, University of Toronto, Toronto, Canada
| | - Juliana Puopolo
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Margaret Wishart
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Cecilia Meza
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Canada
| | - Anthony Feinstein
- Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto, Toronto, Canada
- Department of Psychiatry, Sunnybrook Health Sciences Centre, Toronto, Canada
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28
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Mahmoudi N, Wattjes MP. Treatment Monitoring in Multiple Sclerosis - Efficacy and Safety. Neuroimaging Clin N Am 2024; 34:439-452. [PMID: 38942526 DOI: 10.1016/j.nic.2024.03.009] [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: 06/30/2024]
Abstract
Magnetic resonance imaging is the most sensitive method for detecting inflammatory activity in multiple sclerosis, particularly in the brain where it reveals subclinical inflammation. Established MRI markers include contrast-enhancing lesions and active T2 lesions. Recent promising markers like slowly expanding lesions and phase rim lesions are being explored for monitoring chronic inflammation, but require further validation for clinical use. Volumetric and quantitative MRI techniques are currently limited to clinical trials and are not yet recommended for routine clinical use. Additionally, MRI is crucial for detecting complications from disease-modifying treatments and for implementing MRI-based pharmacovigilance strategies, such as in patients treated with natalizumab.
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Affiliation(s)
- Nima Mahmoudi
- Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| | - Mike P Wattjes
- Department of Neuroradiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
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29
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Filippi M, Preziosa P, Margoni M, Rocca MA. Diagnostic Criteria for Multiple Sclerosis, Neuromyelitis Optica Spectrum Disorders, and Myelin Oligodendrocyte Glycoprotein-immunoglobulin G-associated Disease. Neuroimaging Clin N Am 2024; 34:293-316. [PMID: 38942518 DOI: 10.1016/j.nic.2024.03.001] [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: 06/30/2024]
Abstract
The diagnostic workup of multiple sclerosis (MS) has evolved considerably. The 2017 revision of the McDonald criteria shows high sensitivity and accuracy in predicting clinically definite MS in patients with a typical clinically isolated syndrome and allows an earlier MS diagnosis. Neuromyelitis optica spectrum disorders (NMOSD) and myelin oligodendrocyte glycoprotein-immunoglobulin G-associated disease (MOGAD) are recognized as separate conditions from MS, with specific diagnostic criteria. New MR imaging markers may improve diagnostic specificity for these conditions, thus reducing the risk of misdiagnosis. This study summarizes the most recent updates regarding the application of MR imaging for the diagnosis of MS, NMOSD, and MOGAD.
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Affiliation(s)
- Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
| | - Monica Margoni
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy; Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
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30
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Montobbio N, Carmisciano L, Signori A, Ponzano M, Schiavetti I, Bovis F, Sormani MP. Creating an automated tool for a consistent and repeatable evaluation of disability progression in clinical studies for multiple sclerosis. Mult Scler 2024; 30:1185-1192. [PMID: 39143826 DOI: 10.1177/13524585241243157] [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: 08/16/2024]
Abstract
BACKGROUND The lack of standardized disability progression evaluation in multiple sclerosis (MS) hinders reproducibility of clinical study results, due to heterogeneous and poorly reported criteria. OBJECTIVE To demonstrate the impact of using different parameters when evaluating MS progression, and to introduce an automated tool for reproducible outcome computation. METHODS Re-analyzing BRAVO clinical trial data (NCT00605215), we examined the fluctuations in computed treatment effect on confirmed disability progression (CDP) and progression independent of relapse activity (PIRA) when varying different parameters. These analyses were conducted using the msprog package for R, which we developed as a tool for CDP assessment from longitudinal data, given a set of criteria that can be specified by the user. RESULTS The BRAVO study reported a hazard ratio (HR) of 0.69 (95% confidence interval (CI): 0.46-1.02) for CDP. Using the different parameter configurations, the resulting treatment effect on CDP varied considerably, with HRs ranging from 0.59 (95% CI: 0.41-0.86) to 0.72 (95% CI: 0.48-1.07). The treatment effect on PIRA varied from an HR = 0.62 (95% CI: 0.41-0.93) to an HR = 0.65 (95% CI: 0.40-1.04). CONCLUSIONS The adoption of an open-access tool validated by the research community, with clear parameter specification and standardized output, could greatly reduce heterogeneity in CDP estimation and promote repeatability of study results.
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Affiliation(s)
- Noemi Montobbio
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Luca Carmisciano
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Alessio Signori
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Marta Ponzano
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Irene Schiavetti
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Francesca Bovis
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
| | - Maria Pia Sormani
- Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy / IRCCS Ospedale Policlinico San Martino, Genoa, Italy
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31
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Elkhooly M, Di Stadio A, Bernitsas E. Effect of Aerobic Exercise versus Non-Invasive Brain Stimulation on Cognitive Function in Multiple Sclerosis: A Systematic Review and Meta-Analysis. Brain Sci 2024; 14:771. [PMID: 39199465 PMCID: PMC11352410 DOI: 10.3390/brainsci14080771] [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: 06/29/2024] [Revised: 07/23/2024] [Accepted: 07/29/2024] [Indexed: 09/01/2024] Open
Abstract
OBJECTIVE In this study, we investigated the effects of noninvasive brain stimulation (NIBS) and exercise on cognition in patients with multiple sclerosis (pwMS). METHODS A literature search was performed using the Cochrane Library, Scopus, PubMed and Web of Science. The time interval used for database construction was up to February 2024; the collected trials were subsequently screened, and the data were extracted. RESULTS We identified 12 studies with 208 pwMS treated with noninvasive brain stimulation. Seven of the twelve studies concluded that NIBS was effective in improving reaction time, attention and processing speed. Additionally, 26 articles investigated the effect of various types of exercise on cognition among 708 pwMS. Twelve studies used aerobic exercise only, three studies used resistance only, one used yoga, and ten studies used mixed forms of exercise, such as Pilates, resistance and Frenkel coordination. Aerobic exercise was effective in improving at least one cognitive domain in ten studies. Resistance exercise was found to improve cognition in three studies. Yoga failed to show any improvement in one study. CONCLUSIONS NIBS might be an effective intervention for cognition improvement among pwMS. Aerobic exercise and combined forms of exercise are the most frequently investigated and applied and found to be effective. Further studies are needed, especially for resistance, balance and stretching exercises.
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Affiliation(s)
- Mahmoud Elkhooly
- Department of Neurology, Southern Illinois University School of Medicine, Springfield, IL 62702, USA;
| | - Arianna Di Stadio
- Department of GF Ingrassia, University of Catania, 95121 Catania, Italy
- IRCSS Santa Lucia, 00179 Rome, Italy
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32
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Kalincik T, Sharmin S, Roos I, Massey J, Sutton I, Withers B, Freedman MS, Atkins H, Krasulova E, Kubala Havrdova E, Trneny M, Kozak T, Burman J, Macdonell R, Torkildsen Ø, Bø L, Lehmann AK, Sharrack B, Snowden J. Effectiveness of autologous haematopoietic stem cell transplantation versus natalizumab in progressive multiple sclerosis. J Neurol Neurosurg Psychiatry 2024; 95:775-783. [PMID: 38538060 DOI: 10.1136/jnnp-2023-332790] [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: 10/13/2023] [Accepted: 02/12/2024] [Indexed: 07/17/2024]
Abstract
BACKGROUND Natalizumab was not shown to modify disability in progressive multiple sclerosis (MS). This matched observational study compared the effectiveness of autologous haematopoietic stem cell transplantation (AHSCT) with natalizumab in progressive MS. METHODS Patients with primary/secondary progressive MS from seven AHSCT MS centres and the MSBase registry, treated with AHSCT or natalizumab, were matched on a propensity score derived from sex, age, Expanded Disability Status Scale (EDSS), number of relapses 12/24 months before baseline, time from MS onset, the most effective prior therapy and country. The pairwise-censored groups were compared on hazards of 6-month confirmed EDSS worsening and improvement, relapses and annualised relapse rates (ARRs), using Andersen-Gill proportional hazards models and conditional negative binomial model. RESULTS 39 patients treated with AHSCT (37 with secondary progressive MS, mean age 37 years, EDSS 5.7, 28% with recent disability progression, ARR 0.54 during the preceding year) were matched with 65 patients treated with natalizumab. The study found no evidence for difference in hazards of confirmed EDSS worsening (HR 1.49, 95% CI 0.70 to 3.14) and improvement (HR 1.50, 95% CI 0.22 to 10.29) between AHSCT and natalizumab over up to 4 years. The relapse activity was also similar while treated with AHSCT and natalizumab (ARR: mean±SD 0.08±0.28 vs 0.08±0.25; HR 1.05, 95% CI 0.39 to 2.82). In the AHSCT group, 3 patients experienced febrile neutropenia during mobilisation, 9 patients experienced serum sickness, 6 patients required intensive care unit admission and 36 patients experienced complications after discharge. No treatment-related deaths were reported. CONCLUSION This study does not support the use of AHSCT to control disability in progressive MS with advanced disability and low relapse activity.
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Affiliation(s)
- Tomas Kalincik
- CORe, Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Sifat Sharmin
- CORe, Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Izanne Roos
- CORe, Department of Medicine, University of Melbourne, Parkville, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Jennifer Massey
- Department of Neurology, St Vincent's Hospital Sydney, Darlinghurst, New South Wales, Australia
- St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Ian Sutton
- Department of Neurology, St Vincent's Hospital Sydney, Darlinghurst, New South Wales, Australia
- University of New South Wales, Sydney, New South Wales, Australia
- University of Syndey, Sydney, New South Wales, Australia
| | - Barbara Withers
- St Vincent's Clinical School, University of New South Wales, Sydney, New South Wales, Australia
- Department of Haematology, St Vincent's Hospital Sydney, Darlinghurst, New South Wales, Australia
| | - Mark S Freedman
- Department of Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Harold Atkins
- Department of Medicine, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Eva Krasulova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic
- General University Hospital in Prague, Prague, Czech Republic
| | - Eva Kubala Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University, Prague, Czech Republic
- General University Hospital in Prague, Prague, Czech Republic
| | - Marek Trneny
- General University Hospital in Prague, Prague, Czech Republic
- Department of Haematology, First Faculty of Medicine, Charles University, Prague, Czech Republic
| | - Tomas Kozak
- Department of Haematology, Third Faculty of Medicine, Charles University, Prague, Czech Republic
- University Hospital Kralovske Vinohrady, Prague, Czech Republic
| | - Joachim Burman
- Department of Medical Sciences, Neurology, Uppsala University, Uppsala, Sweden
| | - Richard Macdonell
- Department of Neurology, Austin Health, Melbourne, Victoria, Australia
- University of Melbourne, Melbourne, Victoria, Australia
| | - Øivind Torkildsen
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Lars Bø
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | | | - Basil Sharrack
- Department of Neuroscience and Sheffield NIHR Translational Neuroscience Biomedical Research Centre, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
| | - John Snowden
- Department of Haematology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK
- Department of Oncology and Metabolism, Medical School, The University of Sheffield, Sheffield, UK
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Montembeault M, Farley R, Ouellet J, Brando E, Tremblay A, Charest K, Roger É, Scherzer P, Duquette P, Rouleau I. Cognitive and affective theory of mind in young and elderly patients with multiple sclerosis. J Neuropsychol 2024. [PMID: 38982586 DOI: 10.1111/jnp.12382] [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: 10/30/2023] [Accepted: 06/20/2024] [Indexed: 07/11/2024]
Abstract
Theory of mind (ToM) deficits have been reported in persons with multiple sclerosis (pwMS). However, most studies have used pictures or written scenarios as stimuli without distinguishing between cognitive and affective ToM, and no studies have investigated older pwMS. We recruited 13 young healthy controls (HC), 14 young pwMS, 14 elderly HC and 15 elderly pwMS. ToM was measured using an adaptation of the Conversations and Insinuations task (Ouellet et al., J. Int. Neuropsychol. Soc., 16, 2010, 287). In this ecological video-based task, participants watch four 2-minute videos of social interactions, which are interrupted by multiple choice questions about either the emotional state (affective ToM) or the intention (cognitive ToM) of the characters. They also underwent a short neuropsychological battery including cognitive, executive and social cognition tasks and questionnaires. We observed a significant interaction between the ToM conditions and the groups regarding ToM performance. Elderly pwMS scored significantly lower than elderly HC and young pwMS in cognitive ToM, but not in affective ToM. They also showed the largest discrepancy between their cognitive and affective ToM. Young pwMS showed relatively preserved ToM in both conditions. Both cognitive and affective ToM correlated with global cognition and executive abilities, but not with social cognitive measures (emotion recognition, real-life empathy). This study suggests that decline in cognitive ToM might be accentuated by advancing age in pwMS. These impairments are most likely underlied by cognitive and executive difficulties, but not by core social cognitive impairments. Future studies should investigate the real-life impacts of ToM impairments in pwMS.
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Affiliation(s)
- Maxime Montembeault
- Douglas Research Center, Department of Psychiatry, McGill University Montréal, Montreal, Quebec, Canada
| | - Romane Farley
- Psychology Department, Université du Québec à Montréal (UQAM), Montreal, Quebec, Canada
| | - Julie Ouellet
- Institut de réadaptation Gingras-Lindsay-de-Montréal, CIUSS du Centre-Sud, Montreal, Quebec, Canada
| | - Estefania Brando
- Psychology Department, Université du Québec à Montréal (UQAM), Montreal, Quebec, Canada
| | - Alexandra Tremblay
- Psychology Department, Université du Québec à Montréal (UQAM), Montreal, Quebec, Canada
| | - Kim Charest
- Psychology Department, Université du Québec à Montréal (UQAM), Montreal, Quebec, Canada
| | - Élaine Roger
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada
| | - Peter Scherzer
- Psychology Department, Université du Québec à Montréal (UQAM), Montreal, Quebec, Canada
| | - Pierre Duquette
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada
| | - Isabelle Rouleau
- Psychology Department, Université du Québec à Montréal (UQAM), Montreal, Quebec, Canada
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montreal, Quebec, Canada
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Koseki A, Suzuki Y, Uchida S, Morishita N, Hokazono Y, Kuriki K, Yamamura Y, Yoshida M, Sakai N. Primary Central Nervous System Vasculitis Mimicking Susac Syndrome and Multiple Sclerosis With Long-Term Remission and Spontaneous Resolution of Lesions: A Case Report. Cureus 2024; 16:e64358. [PMID: 39131025 PMCID: PMC11316671 DOI: 10.7759/cureus.64358] [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] [Accepted: 07/11/2024] [Indexed: 08/13/2024] Open
Abstract
Primary central nervous system vasculitis (PCNSV) is an angiitis localized to the central nervous system (CNS), with various manifestations and no specific biomarkers. Herein, we report a case of PCNSV that presented with an unusual course. A 40-year-old Japanese male developed inner ear symptoms and visual field disturbances. Later, at 42 years of age, the patient developed right hemiparesis and was diagnosed with multiple sclerosis (MS). He received methylprednisolone pulse therapy, which improved his symptoms and resolved most brain lesions. Subsequently, he did not visit the hospital for 13 years, during which time he experienced no relapse. At 55 years of age, he presented to our hospital with fatigue and dizziness. Susac syndrome was suspected because of sensorineural hearing loss and snowball lesions in the corpus callosum. Some of the brain lesions resolved spontaneously. A biopsy was performed on a right frontal lobe lesion, which revealed vasculitis with fibrinoid necrosis, no demyelinating lesions, no amyloid positivity, and no infiltration of atypical lymphocytes. With no evidence of vasculitis in other organs, the patient was diagnosed with PCNSV. The patient was treated with methylprednisolone pulse therapy, followed by oral prednisolone (1 mg/kg/day). The prednisolone was tapered off, and no relapse of symptoms or new lesions on magnetic resonance imaging (MRI) were noted. As observed in this case, even in a scenario suggestive of Susac syndrome or multiple sclerosis, PCNSV should be considered a differential diagnosis and confirmed via brain biopsy.
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Affiliation(s)
| | | | | | | | | | - Ken Kuriki
- Diagnostic Pathology, Yaizu City Hospital, Yaizu, JPN
| | | | - Mari Yoshida
- Pathology, Aichi Medical University, Nagakute, JPN
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Etemadifar M, Norouzi M, Alaei SA, Karimi R, Salari M. The diagnostic performance of AI-based algorithms to discriminate between NMOSD and MS using MRI features: A systematic review and meta-analysis. Mult Scler Relat Disord 2024; 87:105682. [PMID: 38781885 DOI: 10.1016/j.msard.2024.105682] [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: 11/24/2023] [Revised: 04/28/2024] [Accepted: 05/10/2024] [Indexed: 05/25/2024]
Abstract
BACKGROUND Magnetic resonance imaging [MRI] findings in Neuromyelitis optica spectrum disorder [NMOSD] and Multiple Sclerosis [MS] patients could lead us to discriminate toward them. For instance, U-fiber and Dawson's finger-type lesions are suggestive of MS, however linear ependymal lesions raise the possibility of NMOSD. Recently, artificial intelligence [AI] models have been used to discriminate between NMOSD and MS based on MRI features. In this study, we aim to systematically review the capability of AI algorithms in NMOSD and MS discrimination based on MRI features. METHOD We searched PubMed, Scopus, Web of Sciences, Embase, and IEEE databases up to August 2023. All studies that used AI-based algorithms to discriminate between NMOSD and MS using MRI features were included, without any restriction in time, region, race, and age. Data on NMOSD and MS patients, Aquaporin-4 antibodies [AQP4-Ab] status, diagnosis criteria, performance metrics (accuracy, sensitivity, specificity, and AUC), artificial intelligence paradigm, MR imaging, and used features were extracted. This study is registered with PROSPERO, CRD42023465265. RESULTS Fifteen studies were included in this systematic review, with sample sizes ranging between 53 and 351. 1,362 MS patients and 1,118 NMOSD patients were included in our systematic review. AQP4-Ab was positive in 94.9% of NMOSD patients in 9 studies. Eight studies used machine learning [ML] as a classifier, while 7 used deep learning [DL]. AI models based on only MRI or MRI and clinical features yielded a pooled accuracy of 82% (95% CI: 78-86%), sensitivity of 83% (95% CI: 79-88%), and specificity of 80% (95% CI: 75-86%). In subgroup analysis, using only MRI features yielded an accuracy, sensitivity, and specificity of 83% (95% CI: 78-88%), 81% (95% CI: 76-87%), and 84% (95% CI: 79-89%), respectively. CONCLUSION AI models based on MRI features showed a high potential to discriminate between NMOSD and MS. However, heterogeneity in MR imaging, model evaluation, and reporting performance metrics, among other confounders, affected the reliability of our results. Well-designed studies on multicentric datasets, standardized imaging and evaluation protocols, and detailed transparent reporting of results are needed to reach optimal performance.
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Affiliation(s)
- Masoud Etemadifar
- School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mahdi Norouzi
- School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
| | - Seyyed-Ali Alaei
- School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Raheleh Karimi
- Department of Epidemiology and Biostatistics, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mehri Salari
- Functional Neurosurgery Research Center, Shohada Tajrish Neurosurgical Center of Excellence, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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Koshorek J, Hu C, Wang Y, Grkovski R, Lin D, Fitzgerald K, Newsome SD, Mowry EM. Relevance of antinuclear antibody in diagnosis and characteristics of multiple sclerosis. Mult Scler Relat Disord 2024; 87:105639. [PMID: 38704876 DOI: 10.1016/j.msard.2024.105639] [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: 05/30/2023] [Revised: 01/05/2024] [Accepted: 04/18/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND Criteria for multiple sclerosis (MS) diagnosis rely upon clinical and paraclinical data that are supportive of MS in the absence of a better explanation. Patients referred for consideration of a MS diagnosis often undergo an extensive serologic workup including antinuclear antibody (ANA) testing, even when an individual already meets diagnostic criteria for MS. It is unclear whether ANA serostatus is associated with clinical outcomes in MS. The present study aims to determine if ANA seropositivity in those referred with concern for MS differs in those who meet 2017 revised McDonald criteria compared to those who did not receive a diagnosis of MS. Associations between ANA seropositivity and clinical or radiological phenotype of MS patients are also explored. METHODS The cohort included people at least 18 years old, referred to our tertiary care MS center with concern for MS (regardless of prior diagnosis) who had an ANA test with known titer completed within one year of first evaluation. Electronic health record (EHR) charts were manually reviewed, and MRIs underwent blinded review by a radiologist with training in neuroradiology. Diagnosis of MS was determined by a neuroimmunologist and was based on 2017 revised McDonald Criteria. Results are reported as odds ratios from multivariable logistic regression analyses adjusted for age, sex at birth, race, smoking history, personal history of comorbid autoimmune conditions, and family history of autoimmunity. Within the MS cohort, similar analytical models were performed to assess association between ANA and clinical and radiological characteristics. RESULTS A final cohort of 258 patients was analyzed (out of 542 referrals): 106 nonMS and 152 with MS. There was no association between MS (vs. nonMS) diagnosis and ANA status (ANA positive n = 74) in the multivariable models (OR 1.5, 95 % CI 0.82, 2.72, p = 0.20). Among those with MS, there was no association of ANA seropositivity with the odds of atypical brain MRI features, number of cardinal MRI areas involved, location of MRI lesions, or of having an atypical presentation of first demyelinating event. Black race (OR 2.8, 95 % CI 1.27, 6.26, p = 0.01) and family history of autoimmunity (OR 2.1, 95 % CI 1.09, 3.98, p = 0.03) were independently associated with increased odds of ANA positivity. Within the MS cohort analysis, progressive MS (PMS; vs relapsing-remitting MS), a covariate in the model, appeared to be at higher odds of being ANA positive (OR 3.6, 95 % CI 1.03, 13.05, p = 0.046) but only when assessing mean area of cardinal MS locations. CONCLUSIONS While ANA testing does not appear to be useful in distinguishing MS from non-MS, it remains less clear as to whether it may be associated with differences in the clinical course of MS (relapsing-remitting vs progressive). Future studies should aim to systematically evaluate whether those who are ANA positive are more likely, in well-designed and representative prospective cohorts, to be diagnosed with or develop progressive MS. Whether a positive ANA early in MS is associated with increased risk over time of developing or diagnosing another systemic autoimmune disease would also be of interest.
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Affiliation(s)
- Jacqueline Koshorek
- Department of Neurology Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Chen Hu
- Department of Neurology Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Yujie Wang
- Department of Neurology Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Neurology, University of Washington School of Medicine, Seattle, WA, USA
| | - Risto Grkovski
- Department of Radiology Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Doris Lin
- Department of Radiology Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kathryn Fitzgerald
- Department of Neurology Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Scott D Newsome
- Department of Neurology Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ellen M Mowry
- Department of Neurology Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Gracia F, Ramírez Navarro DA, Ramírez Sánchez NE, Weiser R, Parajeles-Vindas A, Portillo Rivera LI, Torres EL, García Valle LA, Sanabria-Castro A, Abdón López C, Araujo P, Ayerdis Zamora MJ, Balmaceda-Meza A, Benzadon Cohen A, Candelario Cueto A, Castillo D, Castro-Escobar R, Corea Urbina KZ, de Peña Rivas A, Sotelo OD, Enamorado Claros T, Giroud Benítez JL, Gracia K, Larreategui M, Martínez Cerrato JA, Medina Báez JP, Menjivar Samayoa CE, Miranda-Loria G, Monterrey-Alvarez P, Morales Arguello LA, Ortiz M, Pérez Baldioceda CD, Pinilla Aguilar L, Salinas LCR, Rodríguez-Moreno V, Rojas-Chaves S, Román-Garita N, Santos Pujols B, Valderrama C, Van Sijtveld I, Zabala Angeles I, Rivera VM, Armien B. Multiple sclerosis in Central America and Caribbean countries: frequency and clinical characterization of an emergent disease. FRONTIERS IN EPIDEMIOLOGY 2024; 4:1368675. [PMID: 38952354 PMCID: PMC11216161 DOI: 10.3389/fepid.2024.1368675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 06/03/2024] [Indexed: 07/03/2024]
Abstract
Background Multiple Sclerosis (MS) is a common neurological disease among white populations of European origin. Frequencies among Latin Americans continue to be studied, however, epidemiologic, and clinical characterization studies lack from Central American and Caribbean countries. Ethnicity in these countries is uniformly similar with a prevalent Mestizo population. Methods and results Data from January 2014 to December 2019 from Guatemala, El Salvador, Honduras, Nicaragua, Costa Rica, Panama, Dominican Republic, and Aruba on demographic, clinical, MRI and phenotypic traits were determined in coordinated studies: ENHANCE, a population-based, retrospective, observational study on incidence and clinical characteristics, and from the subgroup with MS national registries (Aruba, Dominican Republic, Honduras, and Panama), data on prevalence, phenotypes and demographics. Expanded Disability Status Scale (EDSS), and therapeutic schemes were included. ENHANCE data from 758 patients disclosed 79.8% of Mestizo ethnicity; 72.4% female; median age at onset 31.0 years and 33.2 at diagnosis. The highest incidence rate was from Aruba, 2.3-3.5 × 100,000 inhabitants, and the lowest, 0.07-0.15 × 100,000, from Honduras. Crude prevalence rates per 100,000 inhabitants fluctuated from 27.3 (Aruba) to 1.0 (Honduras). Relapsing MS accounted for 87.4% of cases; EDSS <3.0 determined in 66.6% (mean disease duration: 9.1 years, SD ± 5.0); CSF oligoclonal bands 85.7%, and 87% of subjects hydroxyvitamin D deficient. Common initial therapies were interferon and fingolimod. Switching from interferon to fingolimod was the most common escalation step. The COVID-19 pandemic affected follow-up aspects of these studies. Conclusion This is the first study providing data on frequencies and clinical characteristics from 8 countries from the Central American and Caribbean region, addressing MS as an emergent epidemiologic disorder. More studies from these areas are encouraged.
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Affiliation(s)
- Fernando Gracia
- Neurology Service, Hospital Santo Tomás, Panamá, Panama
- Dean of Health Science Faculty, Universidad Interamericana de Panamá, Panamá, Panama
| | | | | | - Roberto Weiser
- Neurology Service, Hospital Horacio Oduber, Oranjestad, Aruba
| | - Alexander Parajeles-Vindas
- Neurology Service, Hospital San Juan de Dios, Caja Costarricense de Seguro Social (CCSS), San Jose, Costa Rica
| | - Ligia I. Portillo Rivera
- Neurology Service, Hospital General de Enfermedades, Instituto Guatemalteco de Seguridad Social, Guatemala, Guatemala
| | | | - Luis A. García Valle
- Neurology Service, Hospital Militar Escuela Dr. Alejandro Dávila Bolaños, Managua, Nicaragua
| | - Alfredo Sanabria-Castro
- Neurology Service, Hospital San Juan de Dios, Caja Costarricense de Seguro Social (CCSS), San Jose, Costa Rica
| | - César Abdón López
- Neurology Service, Hospital Nacional Rosales, San Salvador, El Salvador
| | - Pahola Araujo
- Neurology Service, Complejo Hospitalario Dr. Arnulfo Arias Madrid, Panama, Panama
| | | | - Andrea Balmaceda-Meza
- Neurology Service, Hospital San Juan de Dios, Caja Costarricense de Seguro Social (CCSS), San Jose, Costa Rica
| | - Aron Benzadon Cohen
- Neurology Service, Complejo Hospitalario Dr. Arnulfo Arias Madrid, Panama, Panama
| | | | - Diego Castillo
- Neurology Service, Hospital Nacional Rosales, San Salvador, El Salvador
| | - Romy Castro-Escobar
- Neurology Service, Instituto Salvadoreño del Seguro Social, San Salvador, El Salvador
| | - Karla Z. Corea Urbina
- Neurology Service, Hospital Militar Escuela Dr. Alejandro Dávila Bolaños, Managua, Nicaragua
| | - Anyeri de Peña Rivas
- Neurology Service, Centro de Diagnóstico, Medicina Avanzada Conferencias Médicas, Telemedicina (CEDIMAT), Santo Domingo, Dominican Republic
| | - Octavio Duarte Sotelo
- Neurology Service, Hospital Militar Escuela Dr. Alejandro Dávila Bolaños, Managua, Nicaragua
| | | | | | - Karla Gracia
- Dean of Health Science Faculty, Universidad Interamericana de Panamá, Panamá, Panama
| | - Mario Larreategui
- Neurology Service, Hospital Regional Anita Moreno, Villa de Los Santos, Panama
| | | | | | | | - Gustavo Miranda-Loria
- Neurology Service, Hospital San Rafael de Alajuela, Caja Costarricense de Seguro Social (CCSS), Alajuela, Costa Rica
| | - Priscilla Monterrey-Alvarez
- Neurology Service, Hospital San Rafael de Alajuela, Caja Costarricense de Seguro Social (CCSS), Alajuela, Costa Rica
| | | | | | | | | | | | - Virginia Rodríguez-Moreno
- Neurology Service, Hospital San Carlos, Caja Costarricense de Seguro Social (CCSS), San Carlos, Costa Rica
| | - Sebastián Rojas-Chaves
- Neurology Service, Hospital San Juan de Dios, Caja Costarricense de Seguro Social (CCSS), San Jose, Costa Rica
| | - Norbel Román-Garita
- Neurology Service, Hospital San Juan de Dios, Caja Costarricense de Seguro Social (CCSS), San Jose, Costa Rica
| | - Biany Santos Pujols
- Neurology Service, Hospital Regional Universitario Jose Maria Cabral y Baez, Santiago De Los Caballeros, Dominican Republic
| | - Carlos Valderrama
- Neurology Service, Hospital Regional Rafael Hernández, David, Panama
| | | | - Indhira Zabala Angeles
- Neurology Service, Centro de Diagnóstico, Medicina Avanzada Conferencias Médicas, Telemedicina (CEDIMAT), Santo Domingo, Dominican Republic
| | - Victor M. Rivera
- Neurology Service, Baylor College of Medicine, Houston, TX, United States
| | - Blas Armien
- Directorate of Research and Technological Development, Gorgas Memorial Institute of Health Studies, Panamá, Panama
- Sistema Nacional de Investigación, Secretaria Nacional de Ciencia y Tecnología, Panamá, Panama
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Hegen H, Berek K, Deisenhammer F, Berger T, Enzinger C, Guger M, Kraus J, Walde J, Di Pauli F. Sex impacts treatment decisions in multiple sclerosis. J Neurol 2024; 271:3256-3267. [PMID: 38441611 PMCID: PMC11136719 DOI: 10.1007/s00415-024-12270-y] [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: 10/24/2023] [Revised: 01/24/2024] [Accepted: 02/19/2024] [Indexed: 05/30/2024]
Abstract
BACKGROUND Individual disease-modifying treatment (DMT) decisions might differ between female and male people with MS (pwMS). OBJECTIVE To identify sex-related differences in DMT strategies over the past decades in a real-world setting. METHODS In this cohort study, data from the Austrian Multiple Sclerosis Treatment Registry (AMSTR), a nationwide prospectively collected registry mandatory for reimbursement, were retrospectively analyzed. Of 4840 pwMS, those with relapsing-remitting MS, aged at least 18 years, who started DMT and had at least two clinical visits, were identified. At baseline, demographics, Expanded Disability Status Scale (EDSS) score, annualized relapse rate (ARR) in the prior 12 months and MRI lesion load were assessed. At follow-up, ARR, EDSS scores, and DMT were determined. RESULTS A total of 4224 pwMS were included into the study and had a median of 10 (IQR 5-18) clinical visits over an observation period of 3.5 (IQR 1.5-6.1) years. Multivariable Cox regression analysis revealed that the probability of DMT escalation due to relapse activity was lower in female than male pwMS (HR 4.1 vs. 8.3 per ARR). Probability of discontinuing moderate-effective DMT was higher in female pwMS when they were younger (HR 1.03 per year), and lower in male pwMS at higher age (HR 0.92). Similarly, female pwMS were more likely to stop highly effective DMT than male pwMS (HR 1.7). Among others, the most frequent reason for DMT discontinuation was family planning in female pwMS. All sex-related effects were independent of disease activity, such as MRI lesion load, baseline ARR or EDSS. CONCLUSIONS Real-world treatment decisions are influenced by sex-related aspects. Awareness of these associations should prevent unwarranted differences in MS care.
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Affiliation(s)
- Harald Hegen
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Klaus Berek
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria
| | - Florian Deisenhammer
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, 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
| | | | - Michael Guger
- Department of Neurology, Pyhrn-Eisenwurzen Hospital Steyr, Steyr, Austria
- Medical Faculty, Johannes Kepler University Linz, Linz, Austria
| | - Jörg Kraus
- Department of Laboratory Medicine, Paracelsus Medical University and Salzburger Landeskliniken, Salzburg, Austria
- Department of Neurology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Janette Walde
- Department of Statistics, Faculty of Economics and Statistics, University of Innsbruck, Innsbruck, Austria
| | - Franziska Di Pauli
- Department of Neurology, Medical University of Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
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Prathapan V, Eipert P, Wigger N, Kipp M, Appali R, Schmitt O. Modeling and simulation for prediction of multiple sclerosis progression. Comput Biol Med 2024; 175:108416. [PMID: 38657465 DOI: 10.1016/j.compbiomed.2024.108416] [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: 12/07/2023] [Revised: 03/28/2024] [Accepted: 04/03/2024] [Indexed: 04/26/2024]
Abstract
In light of extensive work that has created a wide range of techniques for predicting the course of multiple sclerosis (MS) disease, this paper attempts to provide an overview of these approaches and put forth an alternative way to predict the disease progression. For this purpose, the existing methods for estimating and predicting the course of the disease have been categorized into clinical, radiological, biological, and computational or artificial intelligence-based markers. Weighing the weaknesses and strengths of these prognostic groups is a profound method that is yet in need and works directly at the level of diseased connectivity. Therefore, we propose using the computational models in combination with established connectomes as a predictive tool for MS disease trajectories. The fundamental conduction-based Hodgkin-Huxley model emerged as promising from examining these studies. The advantage of the Hodgkin-Huxley model is that certain properties of connectomes, such as neuronal connection weights, spatial distances, and adjustments of signal transmission rates, can be taken into account. It is precisely these properties that are particularly altered in MS and that have strong implications for processing, transmission, and interactions of neuronal signaling patterns. The Hodgkin-Huxley (HH) equations as a point-neuron model are used for signal propagation inside a small network. The objective is to change the conduction parameter of the neuron model, replicate the changes in myelin properties in MS and observe the dynamics of the signal propagation across the network. The model is initially validated for different lengths, conduction values, and connection weights through three nodal connections. Later, these individual factors are incorporated into a small network and simulated to mimic the condition of MS. The signal propagation pattern is observed after inducing changes in conduction parameters at certain nodes in the network and compared against a control model pattern obtained before the changes are applied to the network. The signal propagation pattern varies as expected by adapting to the input conditions. Similarly, when the model is applied to a connectome, the pattern changes could give an insight into disease progression. This approach has opened up a new path to explore the progression of the disease in MS. The work is in its preliminary state, but with a future vision to apply this method in a connectome, providing a better clinical tool.
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Affiliation(s)
- Vishnu Prathapan
- Medical School Hamburg University of Applied Sciences and Medical University, Am Kaiserkai 1, 20457, Hamburg, Germany.
| | - Peter Eipert
- Medical School Hamburg University of Applied Sciences and Medical University, Am Kaiserkai 1, 20457, Hamburg, Germany.
| | - Nicole Wigger
- Department of Anatomy, University of Rostock Gertrudenstr 9, 18057, Rostock, Germany.
| | - Markus Kipp
- Department of Anatomy, University of Rostock Gertrudenstr 9, 18057, Rostock, Germany.
| | - Revathi Appali
- Institute of General Electrical Engineering, University of Rostock, Albert-Einstein-Straße 2, 18059, Rostock, Germany; Department of Aging of Individuals and Society, Interdisciplinary Faculty, University of Rostock, Universitätsplatz 1, 18055, Rostock, Germany.
| | - Oliver Schmitt
- Medical School Hamburg University of Applied Sciences and Medical University, Am Kaiserkai 1, 20457, Hamburg, Germany; Department of Anatomy, University of Rostock Gertrudenstr 9, 18057, Rostock, Germany.
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Wu J, Olsson T, Alfredsson L, Hedström AK. Association between sun exposure habits and disease progression in multiple sclerosis. Eur J Neurol 2024; 31:e16269. [PMID: 38440929 PMCID: PMC11235876 DOI: 10.1111/ene.16269] [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: 10/01/2023] [Revised: 01/16/2024] [Accepted: 02/16/2024] [Indexed: 03/06/2024]
Abstract
BACKGROUND AND PURPOSE Higher latitude has been associated with increased occurrence of multiple sclerosis (MS) and with more severe disease. The aim was to study the impact of sun exposure habits on MS disease progression and health-related quality of life. METHODS Patients from a population-based case-control study were categorized based on sun exposure habits at diagnosis and were followed up to 15 years post-diagnosis through the Swedish MS registry (n = 3314) with regard to changes in Expanded Disability Status Scale (EDSS). Linear mixed models were used to analyse long-term changes, while Cox regression models, with 95% confidence intervals, were used to investigate outcomes, including 24-week confirmed diasability worsening, EDSS3, EDSS4, and physical worsening as measured by the physical component of the Multiple Sclerosis Impact Scale 29. RESULTS Compared to average sun exposure (median value), low exposure to sunlight was associated with faster EDSS progression, increased risk of confirmed disability worsening (hazard ratio [HR] 1.48, 95% CI 1.21-1.81), increased risk of reaching EDSS 3 (HR 1.35, 95% CI 1.02-1.79), EDSS 4 (HR 1.47, 95% CI 1.01-2.20) and self-reported physical worsening (HR 1.27, 95% CI 1.00-1.62). Significant trends revealed a lower risk of unfavourable outcomes with increasing sun exposure. CONCLUSIONS Very low levels of sun exposure are associated with worse disease progression and health-related quality of life in patients with MS.
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Affiliation(s)
- Jing Wu
- Department of Neurobiology, Care Sciences and Society, Aging Research CenterKarolinska Institutet and Stockholm UniversityStockholmSweden
| | - Tomas Olsson
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
| | - Lars Alfredsson
- Department of Clinical NeuroscienceKarolinska InstitutetStockholmSweden
- Institute of Environmental Medicine, Karolinska InstitutetStockholmSweden
- Centre for Occupational and Environmental Medicine, Region StockholmStockholmSweden
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Zivadinov R, Pei J, Clayton D, Goldman DE, Winger RC, Cabatingan MS, Dwyer MG, Bergsland N. Evolution of atrophied T2 lesion volume in primary-progressive multiple sclerosis: results from the phase 3 ORATORIO study. J Neurol Neurosurg Psychiatry 2024; 95:536-543. [PMID: 38071574 DOI: 10.1136/jnnp-2023-332573] [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: 09/05/2023] [Accepted: 11/20/2023] [Indexed: 12/22/2023]
Abstract
BACKGROUND Atrophied T2-lesion volume (aT2-LV) is an exploratory imaging marker in multiple sclerosis (MS) reflecting the volume of lesions subsumed into cerebrospinal fluid (CSF). OBJECTIVE To investigate the effect of ocrelizumab (OCR) versus placebo (PBO) over 120 weeks on the accumulation of aT2-LV in a double-blind placebo-controlled (DBP) phase 3, primary-progressive (PP) MS study (ORATORIO; NCT01194570). METHODS This post-hoc, MRI-blinded analysis evaluated 732 PPMS randomised to OCR (488) or PBO (244). Atrophied T2-LV was calculated by overlaying baseline T2-lesion masks on follow-up CSF maps. Clinical data from DBP and open-label extension (OLE) periods were available. Treatment effect was evaluated by a mixed-effect model with repeated measures, while logistic regression explored the association of aT2-LV at week 120 and clinical outcomes in the OLE period. RESULTS OCR treatment significantly reduced accumulation of aT2-LV compared with PBO (319.4 mm3 vs 366.1 mm3, p=0.015) at 120 weeks. OCR showed superiority over PBO in reducing aT2-LV in patients who developed confirmed disability progression (CDP) during the DBP period at 12 (CDP12) and 24 (CDP24) weeks for the composite of Expanded Disability Status Scale (EDSS), Nine-Hole Peg Test and Timed 25-Foot Walk test. Accumulation of aT2-LV at week 120 was related to CDP12-EDSS (p=0.018) and CDP24-EDSS (p=0.022) in the OLE for the patients who were treated by PBO in the DBP only. CONCLUSIONS OCR showed a significant effect of reducing the accumulation of aT2-LV in PPMS in the DBP period and was related to CDP-EDSS in OLE only in the PBO arm.
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Affiliation(s)
- 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 Clinical Translational Science Institute, 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 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
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Johansson E, Alfredsson L, Strid P, Kockum I, Olsson T, Hedström AK. Head trauma results in manyfold increased risk of multiple sclerosis in genetically susceptible individuals. J Neurol Neurosurg Psychiatry 2024; 95:554-560. [PMID: 38212058 PMCID: PMC11103305 DOI: 10.1136/jnnp-2023-332643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Accepted: 12/20/2023] [Indexed: 01/13/2024]
Abstract
BACKGROUND Large register-based studies have reported an association between head trauma and increased risk of multiple sclerosis (MS). We aimed to investigate possible interactions between head trauma and MS-associated HLA genes in relation to MS risk. METHODS We used a Swedish population-based case-control study (2807 incident cases, 5950 matched controls with HLA genotypes available for 2057 cases, 2887 controls). Subjects with and without a history of self-reported head trauma were compared regarding MS risk, by calculating ORs with 95% CIs using logistic regression models. Additive interaction between head trauma, HLA-DRB1*1501 and absence of HLA-A*0201, was assessed by calculating the attributable proportion (AP) due to interaction. RESULTS A history of head trauma was associated with a 30% increased risk of subsequently developing MS (OR 1.34, 95% CI 1.17 to 1.53), with a trend showing increased risk of MS with increasing number of head impacts (p=0.03). We observed synergistic effects between recent head trauma and HLA-DRB1*15:01 as well as absence of HLA*02:01 in relation to MS risk (each AP 0.40, 95% CI 0.1 to 0.7). Recent head trauma in individuals with both genetic risk factors rendered an 18-fold increased risk of MS, compared with those with neither the genetic risk factors nor a history of head trauma (OR 17.7, 95% CI 7.13 to 44.1). CONCLUSIONS Our findings align with previous observations of a dose-dependent association between head trauma and increased risk of MS and add a novel aspect of this association by revealing synergistic effects between recent head trauma and MS-associated HLA genes.
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Affiliation(s)
- Eva Johansson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Lars Alfredsson
- Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Pernilla Strid
- Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Ingrid Kockum
- Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tomas Olsson
- Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Anna Karin Hedström
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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Morello M, Mastrogiovanni S, Falcione F, Rossi V, Bernardini S, Casciani S, Viola A, Reali M, Pieri M. Laboratory Diagnosis of Intrathecal Synthesis of Immunoglobulins: A Review about the Contribution of OCBs and K-index. Int J Mol Sci 2024; 25:5170. [PMID: 38791208 PMCID: PMC11121313 DOI: 10.3390/ijms25105170] [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: 03/09/2024] [Revised: 04/23/2024] [Accepted: 05/03/2024] [Indexed: 05/26/2024] Open
Abstract
The diagnosis of MS relies on a combination of imaging, clinical examinations, and biological analyses, including blood and cerebrospinal fluid (CSF) assessments. G-Oligoclonal bands (OCBs) are considered a "gold standard" for MS diagnosis due to their high sensitivity and specificity. Recent advancements have involved the introduced of kappa free light chain (k-FLC) assay into cerebrospinal fluid (CSF) and serum (S), along with the albumin quotient, leading to the development of a novel biomarker known as the "K-index" or "k-FLC index". The use of the K-index has been recommended to decrease costs, increase laboratory efficiency, and to skip potential subjective operator-dependent risk that could happen during the identification of OCBs profiles. This review aims to provide a comprehensive overview and analysis of recent scientific articles, focusing on updated methods for MS diagnosis with an emphasis on the utility of the K-index. Numerous studies indicate that the K-index demonstrates high sensitivity and specificity, often comparable to or surpassing the diagnostic accuracy of OCBs evaluation. The integration of the measure of the K-index with OCBs assessment emerges as a more precise method for MS diagnosis. This combined approach not only enhances diagnostic accuracy, but also offers a more efficient and cost-effective alternative.
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Affiliation(s)
- Maria Morello
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
- Clinical Pathology and Clinical Biochemistry, Graduate School, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
- Department of Experimental Medicine, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
| | - Simone Mastrogiovanni
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
- Clinical Pathology and Clinical Biochemistry, Graduate School, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
| | - Fabio Falcione
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
- Clinical Pathology and Clinical Biochemistry, Graduate School, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
| | - Vanessa Rossi
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
- Clinical Pathology and Clinical Biochemistry, Graduate School, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
| | - Sergio Bernardini
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
- Clinical Pathology and Clinical Biochemistry, Graduate School, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
- Department of Experimental Medicine, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
| | - Stefania Casciani
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
| | - Antonietta Viola
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
| | - Marilina Reali
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
| | - Massimo Pieri
- Clinical Biochemistry Department of Laboratory Medicine, Division of Proteins, University Hospital (PTV), 00133 Rome, Italy; (S.M.); (F.F.); (V.R.); (S.B.); (S.C.); (A.V.); (M.R.); (M.P.)
- Clinical Pathology and Clinical Biochemistry, Graduate School, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
- Department of Experimental Medicine, Faculty of Medicine, University of Tor Vergata, 00133 Rome, Italy
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Gklinos P, Mitsikostas DD. Headache disorders in multiple sclerosis: Is there an association? A systematic review and meta-analysis. Mult Scler Relat Disord 2024; 85:105536. [PMID: 38489946 DOI: 10.1016/j.msard.2024.105536] [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: 07/11/2023] [Revised: 09/05/2023] [Accepted: 03/02/2024] [Indexed: 03/17/2024]
Abstract
OBJECTIVE To look for any potential association of headache disorders with multiple sclerosis (MS). BACKGROUND The prevalence of headache disorders has been found to be increased in people with MS (pwMS), however, an association has not been established. Existing studies have provided conflicting results mostly because of methodological differences. METHODS PubMed, Embase and Scopus were searched to identify eligible studies. Studies were included if they were cross-sectional, case-control or cohort. Newcastle-Ottawa Scale (NOS) was used to assess the risk of bias of the included studies. Case-control, cross sectional or cohort studies that used the International Classification of Headache Disorders (ICHD)-2 or-3 criteria for headache diagnosis and Mc Donald or Poser criteria for MS diagnosis were included. Data were extracted using standardized data collection form. Meta-analysis was conducted by calculating the overall prevalence of headache disorders in pwMS as well as the association of headache disorders with MS. The Newcastle-Ottawa Scale (NOS), a tool for assessing the quality of non-randomized studies, was used to assess the quality of the included studies. RESULTS Twenty-three studies were included yielding a total of 5,440 MS patients and 28,0958 controls. The majority of them scored a NOS score between 5 and 6 (max 9), which indicates that they did not rank high in terms of quality, because most studies were cross-sectional and uncontrolled, and only one was prospective, controlled, and longitudinal, but with small population size. Pooled prevalence for all headache disorders, migraine and tension-type headache (TTH) in pwMS was 58 % (95 % CI 0.54-0.61), 30 % (95 % CI 0.25-0.34) and 19 % (95 % CI 0.15-0.23) respectively. A significant association between migraine and MS was found (OR = 2.02, 95 % CI = 1.14-3.57). CONCLUSION PwMS are twice as likely to experience migraine as controls, but the results need to be translated with caution since most of the studies included in the meta-analysis were of low or moderate quality. Larger prospective cohort, controlled, longitudinal studies are needed to confirm whether there is indeed an association between MS and migraine.
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Affiliation(s)
- Panagiotis Gklinos
- First Neurology Department, Eginition University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| | - Dimos-Dimitrios Mitsikostas
- First Neurology Department, Eginition University Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
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Kwon S, Han KD, Jung JH, Cho EB, Chung YH, Park J, Choi HL, Jeon HJ, Shin DW, Min JH. Risk of depression and anxiety in multiple sclerosis and neuromyelitis optica spectrum disorder: A nationwide cohort study in South Korea. Mult Scler 2024; 30:714-725. [PMID: 38561953 DOI: 10.1177/13524585241237093] [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: 04/04/2024]
Abstract
BACKGROUND We investigated the risks of depression/anxiety in patients with multiple sclerosis (pwMS) or patients with neuromyelitis optica spectrum disorder (pwNMOSD). OBJECTIVES MS/NMOSD cohorts were collected from Korean National Health Insurance Service, using the International Classification of Diseases-10th and information on Rare Intractable Disease program. Patients who were younger than 20 years, had a previous depression/anxiety, or died in the index year were excluded. METHODS Hazard ratios (HRs) of depression/anxiety in pwMS and pwNMOSD from controls matched 1:5 for age, sex, hypertension, diabetes, and dyslipidemia were calculated using Cox regressions with a 1-year lag period and estimated over time. RESULTS During a mean follow-up of 4.1 years, adjusted hazard ratios (aHR) for depression were 3.25 (95% confidence interval (CI) = 2.59-4.07) in MS and 2.17 (1.70-2.76) in NMOSD, and aHRs for anxiety were 1.83 (1.49-2.23) in MS and 1.56 (1.26-1.91) in NMOSD. The risks of anxiety/depression did not differ between MS and NMOSD and were highest in the second year after diagnosis of MS/NMOSD. The relative risk of depression was higher in younger pwMS/pwNMOSD, and the relative risk of anxiety was higher in pwMS who was male, had low income, or lived in a non-urban area. CONCLUSION The risk of depression and anxiety was increased in pwMS/pwNMOSD.
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Affiliation(s)
- Soonwook Kwon
- Department of Neurology, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea
| | - Kyung-Do Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, South Korea
| | - Jin Hyung Jung
- Department of Biostatistics, The Catholic University of Korea, Seoul, South Korea
| | - Eun Bin Cho
- Department of Neurology, Gyeongsang Institute of Health Science, Gyeongsang National University, Jinju, South Korea
- Department of Neurology, Gyeongsang National University Changwon Hospital, Changwon, South Korea
| | - Yeon Hak Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Junhee Park
- Department of Family Medicine and Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Hea Lim Choi
- Department of Family Medicine and Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea
| | - Hong Jin Jeon
- Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea
- Depression Center, Department of Psychiatry, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Dong Wook Shin
- Department of Family Medicine and Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Department of Clinical Research Design and Evaluation and Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South Korea
| | - Ju-Hong Min
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
- Neuroscience Center, Samsung Medical Center, Seoul, South Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, South KoreaYeon Hak Chung is currently affiliated to Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea
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Aprea MG, Schiavetti I, Portaccio E, Ballerini C, Bonavita S, Buscarinu M, Calabrese M, Cavalla P, Cellerino M, Cordioli C, Dattola V, De Biase S, De Meo E, Fantozzi R, Gallo A, Iasevoli L, Karabudak R, Landi D, Lorefice L, Moiola L, Ragonese P, Ruscica F, Sen S, Sinisi L, Signoriello E, Toscano S, Verrengia E, Siva A, Masciulli C, Sormani MP, Amato MP. Impact of COVID-19 on pregnancy and fetal outcomes in women with multiple sclerosis. Mult Scler 2024; 30:707-713. [PMID: 38456445 DOI: 10.1177/13524585241232266] [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: 03/09/2024]
Abstract
BACKGROUND In the general population, maternal COVID-19 is associated with worse maternal and fetal outcomes. Two previous studies have assessed COVID-19 clinical outcomes in pregnant women with multiple sclerosis (MS), but there are no data about maternal and fetal outcomes. OBJECTIVES In this multicenter study, we aimed to assess maternal and fetal outcomes in pregnant women with MS and COVID-19 infection. METHODS We recruited pregnant patients with MS who contracted COVID-19 and were followed up in Italian and Turkish Centers, during 2020-2022. A control group was extracted from a previous Italian cohort. Associations between group (COVID-19 or healthy patients) and clinical outcomes (maternal complications, fetal malformations, and spontaneous abortion) were investigated with a weighted logistic regression where propensity score-based inverse probability of treatment weighting (IPTW) approach was applied for adjusting for difference in baseline confounders. RESULTS In the multivariable analysis, COVID-19 during pregnancy was associated with a higher risk of maternal complications (odd ratio (OR) = 2.12; 95% confidence interval (CI) = 1.32-3.48; p = 0.002), while it was not associated with higher risk of spontaneous abortion and fetal malformations. CONCLUSION Our data indicate that COVID-19 during pregnancy increases the risk of maternal complications, while it seems to have no significant impact on fetal outcomes.
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Affiliation(s)
| | - Irene Schiavetti
- Section of Biostatistics, Department of Health Sciences, University of Genova, Genova, Italy
| | - Emilio Portaccio
- Department of NEUROFARBA, University of Florence, Florence, Italy
| | - Chiara Ballerini
- Department of NEUROFARBA, University of Florence, Florence, Italy
| | - Simona Bonavita
- II Division, Department of Neurology, University of Campania Luigi Vanvitelli, Naples, Italy
| | | | - Massimiliano Calabrese
- The Multiple Sclerosis Centre, Department of Neurosciences, Biomedicine and Movement, University Hospital of Verona, Verona, Italy
| | - Paola Cavalla
- MS Center, Department of Neuroscience, City of Health and Science University Hospital of Turin, Turin, Italy
| | - Maria Cellerino
- Department of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Cinzia Cordioli
- Multiple Sclerosis Center, ASST Spedali Civili di Brescia, Montichiari Hospital, Brescia, Italy
| | - Vincenzo Dattola
- MS Center, Bianchi Melacrino Morelli Great Metropolitan Hospital, Reggio Calabria, Italy
| | | | - Ermelinda De Meo
- Department of NEUROFARBA, University of Florence, Florence, Italy
| | | | - Antonio Gallo
- MS Center, I Division of Neurology, Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Naples, Italy
| | | | - Rana Karabudak
- Faculty of Medicine, Hacettepe University, Ankara, Turkey
| | | | - Lorena Lorefice
- Multiple Sclerosis Centre, Binaghi Hospital, ASL Cagliari, University of Cagliari, Cagliari, Italy
| | - Lucia Moiola
- Multiple Sclerosis Center and Neurology Department IRCCS San Raffaele Hospital, Milan, Italy
| | | | | | - Sedat Sen
- School of Medicine, Ondokuz Mayis University, Samsun, Turkey
| | | | - Elisabetta Signoriello
- II Division, Department of Neurology, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Simona Toscano
- Multiple Sclerosis Unit, University Hospital G. Rodolico, Catania, Italy
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
| | - Elena Verrengia
- Multiple Sclerosis Centre, ASST OVEST MI, Legnano Hospital, Legnano, Italy
| | - Aksel Siva
- Faculty of Medicine, Cerrahpasa University, Istanbul, Turkey
| | | | - Maria Pia Sormani
- Section of Biostatistics, Department of Health Sciences, University of Genova, Genova, Italy
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Maria Pia Amato
- Department of NEUROFARBA, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
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Cho EB, Han K, Jung JH, Chung YH, Kwon S, Park J, Jin SM, Shin DW, Min JH. The risk of type 2 diabetes mellitus in multiple sclerosis and neuromyelitis optica spectrum disorder: A nationwide cohort study. Mult Scler Relat Disord 2024; 85:105519. [PMID: 38457883 DOI: 10.1016/j.msard.2024.105519] [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: 07/23/2023] [Revised: 02/19/2024] [Accepted: 02/25/2024] [Indexed: 03/10/2024]
Abstract
BACKGROUND AND OBJECTIVES An association has been suggested between premorbid type 2 diabetes mellitus (T2DM) and the risk of multiple sclerosis (MS). However, little is known about the risk of developing T2DM in MS and neuromyelitis optica spectrum disorder (NMOSD). This study aimed to determine the T2DM risk in patients with MS and NMSOD. METHODS The Korean National Health Insurance Service database was analyzed, and 1,801 and 1,721 adults with MS and NMOSD, respectively, who were free of T2DM between January 2010 and December 2017, were included. Matched controls were selected based on age, sex, and the presence of hypertension and dyslipidemia. RESULTS The risk of developing T2DM was 1.54 times higher in NMOSD than in the controls (adjusted hazard ratio [aHR], 95 % confidence interval [CI] = 1.20-1.96). However, increased T2DM risk was not observed in MS (aHR = 1.13, 95 % CI = 0.91-1.42). The T2DM risk in patients with NMOSD was higher in those who received steroid treatment (aHR = 1.77, 95 % CI = 1.36-2.30) but not in those who did not (aHR = 0.59, 95 % CI = 0.24-1.43, p for interaction = 0.02). DISCUSSION T2DM risk was increased in NMOSD but not in MS. Administering steroid treatment to patients with NMOSD may increase their T2DM risk.
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Affiliation(s)
- Eun Bin Cho
- Department of Neurology, College of Medicine, Gyeongsang Institute of Health Science, Gyeongsang National University, Jinju, South Korea; Department of Neurology, Gyeongsang National University Changwon Hospital, Changwon, South Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, South Korea
| | - Jin-Hyung Jung
- Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, South Korea
| | - Yeon Hak Chung
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-gu, Seoul 06351, South Korea; Department of Neurology, Neuroscience Center, Samsung Medical Center, Seoul, South Korea
| | - Soonwook Kwon
- Department of Neurology, Inha University Hospital, Incheon, South Korea
| | - Junhee Park
- Department of Family Medicine & Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-gu, Seoul 06351, South Korea
| | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Dong Wook Shin
- Department of Family Medicine & Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-gu, Seoul 06351, South Korea; Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea.
| | - Ju-Hong Min
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-gu, Seoul 06351, South Korea; Department of Neurology, Neuroscience Center, Samsung Medical Center, Seoul, South Korea; Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, South Korea.
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48
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Hinsinger G, Du Trieu De Terdonck L, Urbach S, Salvetat N, Rival M, Galoppin M, Ripoll C, Cezar R, Laurent-Chabalier S, Demattei C, Agherbi H, Castelnovo G, Lehmann S, Rigau V, Marin P, Thouvenot E. CD138 as a Specific CSF Biomarker of Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200230. [PMID: 38669615 PMCID: PMC11057439 DOI: 10.1212/nxi.0000000000200230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/30/2024] [Indexed: 04/28/2024]
Abstract
BACKGROUND AND OBJECTIVES The aim of this study was to identify novel biomarkers for multiple sclerosis (MS) diagnosis and prognosis, addressing the critical need for specific and prognostically valuable markers in the field. METHODS We conducted an extensive proteomic investigation, combining analysis of (1) CSF proteome from symptomatic controls, fast and slow converters after clinically isolated syndromes, and patients with relapsing-remitting MS (n = 10 per group) using label-free quantitative proteomics and (2) oligodendrocyte secretome changes under proinflammatory or proapoptotic conditions using stable isotope labeling by amino acids in cell culture. Proteins exhibiting differential abundance in both proteomic analyses were combined with other putative MS biomarkers, yielding a comprehensive list of 87 proteins that underwent quantification through parallel reaction monitoring (PRM) in a novel cohort, comprising symptomatic controls, inflammatory neurologic disease controls, and patients with MS at various disease stages (n = 10 per group). The 11 proteins that passed this qualification step were subjected to a new PRM assay within an expanded cohort comprising 158 patients with either MS at different disease stages or other inflammatory or noninflammatory neurologic disease controls. RESULTS This study unveiled a promising biomarker signature for MS, including previously established candidates, such as chitinase 3-like protein 1, chitinase 3-like protein 2, chitotriosidase, immunoglobulin kappa chain region C, neutrophil gelatinase-associated lipocalin, and CD27. In addition, we identified novel markers, namely cat eye syndrome critical region protein 1 (adenosine deaminase 2, a therapeutic target in multiple sclerosis) and syndecan-1, a proteoglycan, also known as plasma cell surface marker CD138 and acting as chitinase 3-like protein 1 receptor implicated in inflammation and cancer signaling. CD138 exhibited good diagnostic accuracy in distinguishing MS from inflammatory neurologic disorders (area under the curve [AUC] = 0.85, CI 0.75-0.95). CD138 immunostaining was also observed in the brains of patients with MS and cultured oligodendrocyte precursor cells but was absent in astrocytes. DISCUSSION These findings identify CD138 as a specific CSF biomarker for MS and suggest the selective activation of the chitinase 3-like protein 1/CD138 pathway within the oligodendrocyte lineage in MS. They offer promising prospects for improving MS diagnosis and prognosis by providing much-needed specificity and clinical utility. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that CD138 distinguishes multiple sclerosis from other inflammatory neurologic disorders with an AUC of 0.85 (95% CI 0.75-0.95).
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Affiliation(s)
- Geoffrey Hinsinger
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Lucile Du Trieu De Terdonck
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Serge Urbach
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Nicolas Salvetat
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Manon Rival
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Manon Galoppin
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Chantal Ripoll
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Renaud Cezar
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Sabine Laurent-Chabalier
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Christophe Demattei
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Hanane Agherbi
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Giovanni Castelnovo
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Sylvain Lehmann
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Valérie Rigau
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Philippe Marin
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
| | - Eric Thouvenot
- From the IGF (G.H., L.D.T.D.T., S.U., M.R., M.G., C.R., P.M., E.T.), Université de Montpellier, CNRS, INSERM, Montpellier; Sys2Diag (N.S.), UMR 9005 CNRS / ALCEDIAG, Montpellier; Department of Neurology (M.R., H.A., G.C., E.T.), Nîmes University Hospital; IRMB (R.C.), Université de Montpellier, INSERM; Department of Immunology (R.C.), Nîmes University Hospital; Department of Biostatistics (S.L.-C., C.D.), Clinical Epidemiology, Public Health, and Innovation in Methodology, Nîmes University Hospital, Université de Montpellier; Biochemistry Department (S.L.), Hôpital Saint-Eloi; and Department of Pathology (V.R.), Montpellier University Hospital, France
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49
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Gill S, Agarwal M. Multiple Sclerosis Part 1: Essentials and the McDonald Criteria. Magn Reson Imaging Clin N Am 2024; 32:207-220. [PMID: 38555137 DOI: 10.1016/j.mric.2023.11.002] [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: 04/02/2024]
Abstract
Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system (CNS) characterized by relapsing-remitting or progressive neurologic symptoms and focal white matter lesions. The hallmark of the disease is the dissemination of CNS lesions in space and time, which is defined by the McDonald criteria. MRI is an essential diagnostic and prognostic biomarker for MS which can evaluate the entire CNS. MS mimics must be excluded before a diagnosis of MS is made.
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Affiliation(s)
- Sonia Gill
- Section of Neuroradiology, Medical College of Wisconsin, Milwaukee, USA
| | - Mohit Agarwal
- Section of Neuroradiology, Medical College of Wisconsin, Milwaukee, USA.
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50
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Cordano C, Werneburg S, Abdelhak A, Bennett DJ, Beaudry-Richard A, Duncan GJ, Oertel FC, Boscardin WJ, Yiu HH, Jabassini N, Merritt L, Nocera S, Sin JH, Samana IP, Condor Montes SY, Ananth K, Bischof A, Nourbakhsh B, Hauser SL, Cree BAC, Emery B, Schafer DP, Chan JR, Green AJ. Synaptic injury in the inner plexiform layer of the retina is associated with progression in multiple sclerosis. Cell Rep Med 2024; 5:101490. [PMID: 38574736 PMCID: PMC11031420 DOI: 10.1016/j.xcrm.2024.101490] [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: 07/24/2023] [Revised: 02/01/2024] [Accepted: 03/12/2024] [Indexed: 04/06/2024]
Abstract
While neurodegeneration underlies the pathological basis for permanent disability in multiple sclerosis (MS), predictive biomarkers for progression are lacking. Using an animal model of chronic MS, we find that synaptic injury precedes neuronal loss and identify thinning of the inner plexiform layer (IPL) as an early feature of inflammatory demyelination-prior to symptom onset. As neuronal domains are anatomically segregated in the retina and can be monitored longitudinally, we hypothesize that thinning of the IPL could represent a biomarker for progression in MS. Leveraging our dataset with over 800 participants enrolled for more than 12 years, we find that IPL atrophy directly precedes progression and propose that synaptic loss is predictive of functional decline. Using a blood proteome-wide analysis, we demonstrate a strong correlation between demyelination, glial activation, and synapse loss independent of neuroaxonal injury. In summary, monitoring synaptic injury is a biologically relevant approach that reflects a potential driver of progression.
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Affiliation(s)
- Christian Cordano
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA; Department of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Sebastian Werneburg
- Department of Neurobiology, Brudnik Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA; Department of Ophthalmology & Visual Sciences, Michigan Neuroscience Institute, University of Michigan - Michigan Medicine, Ann Arbor, MI, USA
| | - Ahmed Abdelhak
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Daniel J Bennett
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Alexandra Beaudry-Richard
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Greg J Duncan
- Jungers Center for Neurosciences Research, Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Frederike C Oertel
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - W John Boscardin
- Department of Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Hao H Yiu
- Department of Biology, University of Maryland, College Park, MD, USA
| | - Nora Jabassini
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Lauren Merritt
- Department of Neurobiology, Brudnik Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Sonia Nocera
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Jung H Sin
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Isaac P Samana
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Shivany Y Condor Montes
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Kirtana Ananth
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Antje Bischof
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Bardia Nourbakhsh
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Stephen L Hauser
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Bruce A C Cree
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
| | - Ben Emery
- Jungers Center for Neurosciences Research, Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Dorothy P Schafer
- Department of Neurobiology, Brudnik Neuropsychiatric Research Institute, University of Massachusetts Chan Medical School, Worcester, MA, USA
| | - Jonah R Chan
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
| | - Ari J Green
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.
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