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Pfeuffer S, Wolff S, Aslan D, Rolfes L, Korsen M, Pawlitzki M, Albrecht P, Havla J, Huttner HB, Kleinschnitz C, Meuth SG, Pul R, Ruck T. Association of Clinical Relapses With Disease Outcomes in Multiple Sclerosis Patients Older Than 50 Years. Neurology 2024; 103:e209574. [PMID: 38870471 PMCID: PMC11244741 DOI: 10.1212/wnl.0000000000209574] [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: 06/15/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Relapse and MRI activity usually decline with aging but are replaced by progression independent of relapse activity (PIRA) in patients with multiple sclerosis (PwMS). However, several older PwMS continue to experience clinical relapses, and the impact on their disease remains undetermined. We aimed to determine the impact of an index relapse on disease outcomes in patients older than 50 years and to identify risk factors of disadvantageous outcomes. METHODS We performed a secondary analysis from 3 prospective cohorts in Germany. We evaluated all PwMS 50 years and older with a relapse ≤60 days before a baseline visit and at least 18 months of follow-up compared with a control cohort of PwMS without a relapse. Patients were stratified according to age ("50-54" vs "55-59" vs "60+") or disease outcomes ("stable" vs "active" vs "progressive," according to the Lublin criteria). We analyzed relapses, MRI activity, relapse-associated worsening, and PIRA. Regression analysis was performed to evaluate the association of specific baseline risk factors and treatment regimen changes with disease outcomes at month 18. RESULTS A total of 681 patients were included in the "relapse cohort" (50+: 361; 55+: 220; 60+: 100). The "control cohort" comprised 232 patients (50+: 117; 55+: 71; 60+: 44). Baseline epidemiologic parameters were balanced among cohorts and subgroups. We observed increased abundance of inflammatory activity and relapse-independent disability progression in the "relapse" vs "control" cohort. In the "relapse" cohort, we identified 273 patients as "stable" (59.7%), 114 patients as "active" (24.9%), and 70 patients as "progressive" (15.3%) during follow-up. Cardiovascular risk factors (CVRFs) and older age at baseline were identified as risk factors of progressive, whereas disease-modifying treatment (DMT) administration at baseline favored stable disease. DMT during follow-up was associated with stable over active, but not over progressive disease. DISCUSSION A relapse-suggesting underlying active disease-in PwMS older than 50 years was associated with continued disease activity and increased risk of PIRA. Presence of CVRF and absence of DMT at baseline appeared as risk factors of disadvantageous disease courses. An escalation of DMT switch was associated with stable over active but not progressive disease.
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Affiliation(s)
- Steffen Pfeuffer
- From the Department of Neurology (S.P., S.W., H.B.H.), University Hospital Giessen, Justus-Liebig-University Giessen; Department of Neurology (D.A., C.K., R.P.), University Hospital Essen, University Duisburg-Essen; Department of Neurology (L.R., M.K., M.P., S.G.M., T.R.), Medical Faculty, Heinrich Heine University Düsseldorf; Department of Neurology (P.A.), Medical Faculty, Heinrich Department of Neurology, Maria-Hilf-Clinic, Mönchengladbach; and Institute of Clinical Neuroimmunology (J.H.), LMU Hospital, Ludwig-Maximilians University Munich, Germany
| | - Stephanie Wolff
- From the Department of Neurology (S.P., S.W., H.B.H.), University Hospital Giessen, Justus-Liebig-University Giessen; Department of Neurology (D.A., C.K., R.P.), University Hospital Essen, University Duisburg-Essen; Department of Neurology (L.R., M.K., M.P., S.G.M., T.R.), Medical Faculty, Heinrich Heine University Düsseldorf; Department of Neurology (P.A.), Medical Faculty, Heinrich Department of Neurology, Maria-Hilf-Clinic, Mönchengladbach; and Institute of Clinical Neuroimmunology (J.H.), LMU Hospital, Ludwig-Maximilians University Munich, Germany
| | - Derya Aslan
- From the Department of Neurology (S.P., S.W., H.B.H.), University Hospital Giessen, Justus-Liebig-University Giessen; Department of Neurology (D.A., C.K., R.P.), University Hospital Essen, University Duisburg-Essen; Department of Neurology (L.R., M.K., M.P., S.G.M., T.R.), Medical Faculty, Heinrich Heine University Düsseldorf; Department of Neurology (P.A.), Medical Faculty, Heinrich Department of Neurology, Maria-Hilf-Clinic, Mönchengladbach; and Institute of Clinical Neuroimmunology (J.H.), LMU Hospital, Ludwig-Maximilians University Munich, Germany
| | - Leoni Rolfes
- From the Department of Neurology (S.P., S.W., H.B.H.), University Hospital Giessen, Justus-Liebig-University Giessen; Department of Neurology (D.A., C.K., R.P.), University Hospital Essen, University Duisburg-Essen; Department of Neurology (L.R., M.K., M.P., S.G.M., T.R.), Medical Faculty, Heinrich Heine University Düsseldorf; Department of Neurology (P.A.), Medical Faculty, Heinrich Department of Neurology, Maria-Hilf-Clinic, Mönchengladbach; and Institute of Clinical Neuroimmunology (J.H.), LMU Hospital, Ludwig-Maximilians University Munich, Germany
| | - Melanie Korsen
- From the Department of Neurology (S.P., S.W., H.B.H.), University Hospital Giessen, Justus-Liebig-University Giessen; Department of Neurology (D.A., C.K., R.P.), University Hospital Essen, University Duisburg-Essen; Department of Neurology (L.R., M.K., M.P., S.G.M., T.R.), Medical Faculty, Heinrich Heine University Düsseldorf; Department of Neurology (P.A.), Medical Faculty, Heinrich Department of Neurology, Maria-Hilf-Clinic, Mönchengladbach; and Institute of Clinical Neuroimmunology (J.H.), LMU Hospital, Ludwig-Maximilians University Munich, Germany
| | - Marc Pawlitzki
- From the Department of Neurology (S.P., S.W., H.B.H.), University Hospital Giessen, Justus-Liebig-University Giessen; Department of Neurology (D.A., C.K., R.P.), University Hospital Essen, University Duisburg-Essen; Department of Neurology (L.R., M.K., M.P., S.G.M., T.R.), Medical Faculty, Heinrich Heine University Düsseldorf; Department of Neurology (P.A.), Medical Faculty, Heinrich Department of Neurology, Maria-Hilf-Clinic, Mönchengladbach; and Institute of Clinical Neuroimmunology (J.H.), LMU Hospital, Ludwig-Maximilians University Munich, Germany
| | - Philipp Albrecht
- From the Department of Neurology (S.P., S.W., H.B.H.), University Hospital Giessen, Justus-Liebig-University Giessen; Department of Neurology (D.A., C.K., R.P.), University Hospital Essen, University Duisburg-Essen; Department of Neurology (L.R., M.K., M.P., S.G.M., T.R.), Medical Faculty, Heinrich Heine University Düsseldorf; Department of Neurology (P.A.), Medical Faculty, Heinrich Department of Neurology, Maria-Hilf-Clinic, Mönchengladbach; and Institute of Clinical Neuroimmunology (J.H.), LMU Hospital, Ludwig-Maximilians University Munich, Germany
| | - Joachim Havla
- From the Department of Neurology (S.P., S.W., H.B.H.), University Hospital Giessen, Justus-Liebig-University Giessen; Department of Neurology (D.A., C.K., R.P.), University Hospital Essen, University Duisburg-Essen; Department of Neurology (L.R., M.K., M.P., S.G.M., T.R.), Medical Faculty, Heinrich Heine University Düsseldorf; Department of Neurology (P.A.), Medical Faculty, Heinrich Department of Neurology, Maria-Hilf-Clinic, Mönchengladbach; and Institute of Clinical Neuroimmunology (J.H.), LMU Hospital, Ludwig-Maximilians University Munich, Germany
| | - Hagen B Huttner
- From the Department of Neurology (S.P., S.W., H.B.H.), University Hospital Giessen, Justus-Liebig-University Giessen; Department of Neurology (D.A., C.K., R.P.), University Hospital Essen, University Duisburg-Essen; Department of Neurology (L.R., M.K., M.P., S.G.M., T.R.), Medical Faculty, Heinrich Heine University Düsseldorf; Department of Neurology (P.A.), Medical Faculty, Heinrich Department of Neurology, Maria-Hilf-Clinic, Mönchengladbach; and Institute of Clinical Neuroimmunology (J.H.), LMU Hospital, Ludwig-Maximilians University Munich, Germany
| | - Christoph Kleinschnitz
- From the Department of Neurology (S.P., S.W., H.B.H.), University Hospital Giessen, Justus-Liebig-University Giessen; Department of Neurology (D.A., C.K., R.P.), University Hospital Essen, University Duisburg-Essen; Department of Neurology (L.R., M.K., M.P., S.G.M., T.R.), Medical Faculty, Heinrich Heine University Düsseldorf; Department of Neurology (P.A.), Medical Faculty, Heinrich Department of Neurology, Maria-Hilf-Clinic, Mönchengladbach; and Institute of Clinical Neuroimmunology (J.H.), LMU Hospital, Ludwig-Maximilians University Munich, Germany
| | - Sven G Meuth
- From the Department of Neurology (S.P., S.W., H.B.H.), University Hospital Giessen, Justus-Liebig-University Giessen; Department of Neurology (D.A., C.K., R.P.), University Hospital Essen, University Duisburg-Essen; Department of Neurology (L.R., M.K., M.P., S.G.M., T.R.), Medical Faculty, Heinrich Heine University Düsseldorf; Department of Neurology (P.A.), Medical Faculty, Heinrich Department of Neurology, Maria-Hilf-Clinic, Mönchengladbach; and Institute of Clinical Neuroimmunology (J.H.), LMU Hospital, Ludwig-Maximilians University Munich, Germany
| | - Refik Pul
- From the Department of Neurology (S.P., S.W., H.B.H.), University Hospital Giessen, Justus-Liebig-University Giessen; Department of Neurology (D.A., C.K., R.P.), University Hospital Essen, University Duisburg-Essen; Department of Neurology (L.R., M.K., M.P., S.G.M., T.R.), Medical Faculty, Heinrich Heine University Düsseldorf; Department of Neurology (P.A.), Medical Faculty, Heinrich Department of Neurology, Maria-Hilf-Clinic, Mönchengladbach; and Institute of Clinical Neuroimmunology (J.H.), LMU Hospital, Ludwig-Maximilians University Munich, Germany
| | - Tobias Ruck
- From the Department of Neurology (S.P., S.W., H.B.H.), University Hospital Giessen, Justus-Liebig-University Giessen; Department of Neurology (D.A., C.K., R.P.), University Hospital Essen, University Duisburg-Essen; Department of Neurology (L.R., M.K., M.P., S.G.M., T.R.), Medical Faculty, Heinrich Heine University Düsseldorf; Department of Neurology (P.A.), Medical Faculty, Heinrich Department of Neurology, Maria-Hilf-Clinic, Mönchengladbach; and Institute of Clinical Neuroimmunology (J.H.), LMU Hospital, Ludwig-Maximilians University Munich, Germany
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Papetti L, Panella E, Monte G, Ferilli MAN, Tarantino S, Checchi MP, Valeriani M. Pediatric Onset Multiple Sclerosis and Obesity: Defining the Silhouette of Disease Features in Overweight Patients. Nutrients 2023; 15:4880. [PMID: 38068737 PMCID: PMC10707944 DOI: 10.3390/nu15234880] [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: 10/09/2023] [Revised: 11/13/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023] Open
Abstract
Obesity has been suggested as an environmental risk factor for multiple sclerosis (MS) and may negatively effect the progression of the disease. The aim of this study is to determine any correlation between overweight/obesity and the clinical and neuroradiological features at the onset of pediatric onset multiple sclerosis (POMS). Were included patients referred to the POMS Unit of the Bambino Gesù Children's Hospital between June 2012 and June 2021. The diagnosis of MS with an onset of less than 18 years was required. For all included subjects, we considered for the analysis the following data at the onset of symptoms: general data (age, sex, functional system compromised by neurological signs, weight and height), brain and spinal magnetic resonance imaging (MRI), cerebrospinal fluid exams. We identified 55 pediatric cases of POMS and divided them into two groups according to the body mass index (BMI): 60% were healthy weight (HW) and 40% were overweight/obese (OW/O). OW/O patients experienced a two-year age difference in disease onset compared to the HW patients (12.7 ± 3.8 years vs. 14.6 ± 4.1 years; p < 0.05). Onset of polyfocal symptoms was seen more frequently in OW/O patients than in HW (72.7% vs. 21.2%; p < 0.05). The pyramidal functions were involved more frequently in the OW/O group than in the HW group (50% vs. 25%; p < 0.005). Black holes were detected more frequently in OW/O patients in onset MRI scans compared to the HW group (50% vs. 15.5%; p < 0.05). Our findings suggest that being overweight/obese affects the risk of developing MS at an earlier age and is associated with an unfavorable clinical-radiological features at onset. Weight control can be considered as a preventive/therapeutic treatment.
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Affiliation(s)
- Laura Papetti
- Developmental Neurology Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (G.M.); (M.A.N.F.); (S.T.); (M.P.C.); (M.V.)
| | - Elena Panella
- Child Neurology and Psychiatry Unit, Systems Medicine Department, Hospital of Rome, Tor Vergata University, 00133 Rome, Italy;
| | - Gabriele Monte
- Developmental Neurology Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (G.M.); (M.A.N.F.); (S.T.); (M.P.C.); (M.V.)
| | - Michela Ada Noris Ferilli
- Developmental Neurology Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (G.M.); (M.A.N.F.); (S.T.); (M.P.C.); (M.V.)
| | - Samuela Tarantino
- Developmental Neurology Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (G.M.); (M.A.N.F.); (S.T.); (M.P.C.); (M.V.)
| | - Martina Proietti Checchi
- Developmental Neurology Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (G.M.); (M.A.N.F.); (S.T.); (M.P.C.); (M.V.)
| | - Massimiliano Valeriani
- Developmental Neurology Unit, Bambino Gesù Children’s Hospital, IRCCS, 00165 Rome, Italy; (G.M.); (M.A.N.F.); (S.T.); (M.P.C.); (M.V.)
- Center for Sensory Motor Interaction, Aalborg University, DK-9220 Aalborg, Denmark
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Patitucci E, Lipp I, Stickland RC, Wise RG, Tomassini V. Changes in brain perfusion with training-related visuomotor improvement in MS. Front Mol Neurosci 2023; 16:1270393. [PMID: 38025268 PMCID: PMC10665528 DOI: 10.3389/fnmol.2023.1270393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 10/26/2023] [Indexed: 12/01/2023] Open
Abstract
Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system. A better understanding of the mechanisms supporting brain plasticity in MS would help to develop targeted interventions to promote recovery. A total of 29 MS patients and 19 healthy volunteers underwent clinical assessment and multi-modal MRI acquisition [fMRI during serial reaction time task (SRT), DWI, T1w structural scans and ASL of resting perfusion] at baseline and after 4-weeks of SRT training. Reduction of functional hyperactivation was observed in MS patients following the training, shown by the stronger reduction of the BOLD response during task execution compared to healthy volunteers. The functional reorganization was accompanied by a positive correlation between improvements in task accuracy and the change in resting perfusion after 4 weeks' training in right angular and supramarginal gyri in MS patients. No longitudinal changes in WM and GM measures and no correlation between task performance improvements and brain structure were observed in MS patients. Our results highlight a potential role for CBF as an early marker of plasticity, in terms of functional (cortical reorganization) and behavioral (performance improvement) changes in MS patients that may help to guide future interventions that exploit preserved plasticity mechanisms.
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Affiliation(s)
- Eleonora Patitucci
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff, United Kingdom
| | - Ilona Lipp
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff, United Kingdom
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Rachael Cecilia Stickland
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff, United Kingdom
| | - Richard G. Wise
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff, United Kingdom
- Institute for Advanced Biomedical Technologies, University of Chieti-Pescara “G. d’Annunzio,”Chieti, Italy
- Department of Neurosciences, Imaging and Clinical Sciences, University of Chieti-Pescara “G. d’Annunzio,”Chieti, Italy
| | - Valentina Tomassini
- Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff, United Kingdom
- Institute for Advanced Biomedical Technologies, University of Chieti-Pescara “G. d’Annunzio,”Chieti, Italy
- Department of Neurosciences, Imaging and Clinical Sciences, University of Chieti-Pescara “G. d’Annunzio,”Chieti, Italy
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, United Kingdom
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Goldin K, Riemann-Lorenz K, Daubmann A, Pöttgen J, Krause N, Schröder H, Heesen C. Health behaviors of people with multiple sclerosis and its associations with MS related outcomes: a German clinical cohort. Front Neurol 2023; 14:1172419. [PMID: 37780722 PMCID: PMC10533928 DOI: 10.3389/fneur.2023.1172419] [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: 02/23/2023] [Accepted: 08/28/2023] [Indexed: 10/03/2023] Open
Abstract
Background Health behaviors in persons with multiple sclerosis (pwMS) have been associated with MS-related disease outcomes. Objective The aim of the study was to gain knowledge about current patient health behaviors in a convenience sample representative for pwMS presenting to a large university-based outpatient clinic and to investigate associations between modifiable risk factors with physical impairment, quality of life (QoL) and cardiovascular comorbidities. Methods A questionnaire was administered at the MS Outpatient Clinic of the University Medical Center Hamburg Eppendorf asking for health behaviors regarding dietary habits assessed with the German adaptation of the validated Spanish short Diet Quality Screener (sDQS), level of physical activity assessed with the Godin Leisure Time Questionnaire (GLTEQ) and tobacco smoking. Participants were asked to report cardiovascular comorbidities using items from the Self-Report Comorbidity Questionnaire for Multiple Sclerosis. Additionally, cardiovascular risk factors like blood pressure, height and weight (to calculate BMI) and waist circumference were measured. MS specific clinical data, e.g., disease course, duration, disability and MS-specific QoL were collected from the clinical database. Descriptive analyses were performed and multivariate regression analyses for complete cases were carried out for each of the three outcome variables including all mentioned modifiable risk factors (dietary behavior, smoking, physical activity and BMI) as independent variables. Results In this sample of 399 pwMS the mean age was 42 years (SD 12.8) with a mean disease duration since diagnosis of 7.4 years (SD 8.4) and a mean EDSS of 2.8 (SD 1.9). 24% were current smokers, 44% were insufficiently physically active and 54% did not follow a healthy dietary pattern. 49% of this relatively young clinical population was overweight and 27% reported one or more cardiovascular comorbidities. Most modifiable risk factors showed no convincing associations with MS-related disease outcomes in the multiple regression analyses. Conclusion This clinical cohort of pwMS shows a high prevalence of critical health behaviors and comorbidities and emphasizes the need for monitoring, education and assistance for behavior change in this population.
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Affiliation(s)
- Katharina Goldin
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Karin Riemann-Lorenz
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Anne Daubmann
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jana Pöttgen
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Nicole Krause
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Helmut Schröder
- IMIM-Hospital del Mar Medical Research Institute, Barcelona, Spain
- CIBER Epidemiologia y Salud Pública (CIBERESP), Madrid, Spain
| | - Christoph Heesen
- Institute of Neuroimmunology and Multiple Sclerosis, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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Bartnik A, Serra LM, Smith M, Duncan WD, Wishnie L, Ruttenberg A, Dwyer MG, Diehl AD. MRIO: The Magnetic Resonance Imaging Acquisition and Analysis Ontology. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.04.552020. [PMID: 37609265 PMCID: PMC10441376 DOI: 10.1101/2023.08.04.552020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Objective Magnetic resonance imaging of the brain is a useful tool in both the clinic and research settings, aiding in the diagnosis and treatments of neurological disease and expanding our knowledge of the brain. However, there are many challenges inherent in managing and analyzing MRI data, due in large part to the heterogeneity of data acquisition. Materials and Methods To address this, we have developed MRIO, the Magnetic Resonance Imaging Acquisition and Analysis Ontology. Results MRIO provides well-reasoned classes and logical axioms for the acquisition of several MRI acquisition types and well-known, peer-reviewed analysis software, facilitating the use of MRI data. These classes provide a common language for the neuroimaging research process and help standardize the organization and analysis of MRI data for reproducible datasets. We also provide queries for automated assignment of analyses for given MRI types. Discussion MRIO aids researchers in managing neuroimaging studies by helping organize and annotate MRI data and integrating with existing standards such as Digital Imaging and Communications in Medicine and the Brain Imaging Data Structure, enhancing reproducibility and interoperability. MRIO was constructed according to Open Biomedical Ontologies Foundry principals and has contributed several terms to the Ontology for Biomedical Investigations to help bridge neuroimaging data to other domains. Conclusion MRIO addresses the need for a "common language" for MRI that can help manage the neuroimaging research, by enabling researchers to identify appropriate analyses for sets of scans and facilitating data organization and reporting.
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Affiliation(s)
- Alexander Bartnik
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Lucas M. Serra
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Mackenzie Smith
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | | | - Lauren Wishnie
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Alan Ruttenberg
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Michael G. Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Alexander D. Diehl
- Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
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Bakirtzis C, Nikolaidis I, Boziki MK, Grigoriadou E, Karakasi MV, Moysiadis T, Kesidou E, Papazisis G, Grigoriadis N. Epidemiological Insights on Medication Concurrency and Polypharmacy in People With Multiple Sclerosis in Greece. Int J MS Care 2023; 25:140-144. [PMID: 37469336 PMCID: PMC10353693 DOI: 10.7224/1537-2073.2022-046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/21/2023]
Abstract
BACKGROUND Besides disease-modifying therapies, various pharmacologic agents are frequently prescribed to people with multiple sclerosis (MS) for symptom treatment and for comorbid conditions. The present study aims to investigate the types and frequencies of agents prescribed to people with MS in Greece using records from the nationwide digital prescription database. METHODS Prescription records for 21,218 people (65.9% women) with MS were included in the study. The criterion for study inclusion was a minimum of 3 months of continuous prescription of an agent. Identified treatments were further examined by age group. RESULTS Antispasticity agents (17.5%) and fampridine (14.5%) were the most regularly prescribed symptomatic medications. Antihypertensives (21.1%) and drugs for affective disorders, including antidepressants (36.1%) and anxiolytics (16.2%), were the most frequently prescribed medications for comorbid conditions. Antidepressants were prescribed at almost equally high rates among individuals older than 40 years. Hypertension was one of the leading comorbidities among the study sample, with rates rising significantly after age 40 years and plateauing after age 60 years. Polypharmacy was observed in 22.5% of the study sample, with a higher incidence among people with MS older than 60 years (46.98%). CONCLUSIONS Agents prescribed for the treatment of disease symptoms and other medical conditions are expected to positively affect quality of life in people with MS. However, polypharmacy seems to be particularly high, especially in the aged population. The potential implications of polypharmacy in the disease course should further be explored.
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Affiliation(s)
- Christos Bakirtzis
- From the Multiple Sclerosis Center, 2nd Department of Neurology (CB, IN, M-KB, EG, EK, NG), Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Ioannis Nikolaidis
- From the Multiple Sclerosis Center, 2nd Department of Neurology (CB, IN, M-KB, EG, EK, NG), Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Marina-Kleopatra Boziki
- From the Multiple Sclerosis Center, 2nd Department of Neurology (CB, IN, M-KB, EG, EK, NG), Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Eleni Grigoriadou
- From the Multiple Sclerosis Center, 2nd Department of Neurology (CB, IN, M-KB, EG, EK, NG), Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Maria-Valeria Karakasi
- C' Department of Psychiatry (M-VK), Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Theodoros Moysiadis
- The Department of Computer Science, School of Sciences and Engineering, University of Nicosia, Nicosia, Cyprus (TM)
| | - Evangelia Kesidou
- From the Multiple Sclerosis Center, 2nd Department of Neurology (CB, IN, M-KB, EG, EK, NG), Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Georgios Papazisis
- Department of Clinical Pharmacology (GP), Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Nikolaos Grigoriadis
- From the Multiple Sclerosis Center, 2nd Department of Neurology (CB, IN, M-KB, EG, EK, NG), Aristotle University of Thessaloniki, Thessaloniki, Greece
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Marrie RA, Fisk JD, Fitzgerald K, Kowalec K, Maxwell C, Rotstein D, Salter A, Tremlett H. Etiology, effects and management of comorbidities in multiple sclerosis: recent advances. Front Immunol 2023; 14:1197195. [PMID: 37325663 PMCID: PMC10266935 DOI: 10.3389/fimmu.2023.1197195] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 05/19/2023] [Indexed: 06/17/2023] Open
Abstract
Comorbid conditions commonly affect people with multiple sclerosis (MS). Population-based studies indicate that people with MS have an increased incidence of ischemic heart disease, cerebrovascular disease, peripheral vascular disease, and psychiatric disorders as compared to people without MS. People with MS from underrepresented minority and immigrant groups have higher comorbidity burdens. Comorbidities exert effects throughout the disease course, from symptom onset through diagnosis to the end of life. At the individual level, comorbidity is associated with higher relapse rates, greater physical and cognitive impairments, lower health-related quality of life, and increased mortality. At the level of the health system and society, comorbidity is associated with increased health care utilization, costs and work impairment. A nascent literature suggests that MS affects outcomes from comorbidities. Comorbidity management needs to be integrated into MS care, and this would be facilitated by determining optimal models of care.
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Affiliation(s)
- Ruth Ann Marrie
- Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
- Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - John D. Fisk
- Nova Scotia Health and the Departments of Psychiatry, Psychology & Neuroscience, and Medicine, Dalhousie University, Halifax, NS, Canada
| | - Kathryn Fitzgerald
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, United States
| | - Kaarina Kowalec
- College of Pharmacy, University of Manitoba, Winnipeg, MB, Canada
- Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
| | - Colleen Maxwell
- Schools of Pharmacy and Public Health & Health Systems, University of Waterloo, Waterloo, ON, Canada
| | - Dalia Rotstein
- Department of Medicine, University of Toronto, Toronto, ON, Canada
- St. Michael’s Hospital, Toronto, ON, Canada
| | - Amber Salter
- Department of Neurology, UT Southwestern, Dallas, TX, United States
| | - Helen Tremlett
- Department of Medicine (Neurology) and the Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
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Van Wijmeersch B, Hartung HP, Vermersch P, Pugliatti M, Pozzilli C, Grigoriadis N, Alkhawajah M, Airas L, Linker R, Oreja-Guevara C. Using personalized prognosis in the treatment of relapsing multiple sclerosis: A practical guide. Front Immunol 2022; 13:991291. [PMID: 36238285 PMCID: PMC9551305 DOI: 10.3389/fimmu.2022.991291] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 07/28/2022] [Indexed: 11/13/2022] Open
Abstract
The clinical course of multiple sclerosis (MS) is highly variable among patients, thus creating important challenges for the neurologist to appropriately treat and monitor patient progress. Despite some patients having apparently similar symptom severity at MS disease onset, their prognoses may differ greatly. To this end, we believe that a proactive disposition on the part of the neurologist to identify prognostic “red flags” early in the disease course can lead to much better long-term outcomes for the patient in terms of reduced disability and improved quality of life. Here, we present a prognosis tool in the form of a checklist of clinical, imaging and biomarker parameters which, based on consensus in the literature and on our own clinical experiences, we have established to be associated with poorer or improved clinical outcomes. The neurologist is encouraged to use this tool to identify the presence or absence of specific variables in individual patients at disease onset and thereby implement sufficiently effective treatment strategies that appropriately address the likely prognosis for each patient.
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Affiliation(s)
- Bart Van Wijmeersch
- Universitair Multiple Sclerosis (MS) Centrum, Hasselt-Pelt, Belgium
- Noorderhart, Revalidatie & Multiple Sclerosis (MS), Pelt, Belgium
- REVAL & BIOMED, Hasselt University, Hasselt, Belgium
- *Correspondence: Bart Van Wijmeersch,
| | - Hans-Peter Hartung
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Brain and Mind Center, University of Sydney, Sydney, NSW, Australia
- Department of Neurology, Palacky University Olomouc, Olomouc, Czechia
| | - Patrick Vermersch
- University Lille, Inserm U1172 LilNCog, Centre Hospitalier Universitaire (CHU) Lille, Fédératif Hospitalo-Universitaire (FHU) Precise, Lille, France
| | - Maura Pugliatti
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
- Unit of Clinical Neurology, San Anna University Hospital, Ferrara, Italy
| | - Carlo Pozzilli
- Department of Human Neuroscience, Sapienza University, Rome, Italy
| | - Nikolaos Grigoriadis
- B’ Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Mona Alkhawajah
- Neuroscience Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Laura Airas
- Turku University Hospital and University of Turku, Turku, Finland
| | - Ralf Linker
- Department of Neurology, University Hospital Regensburg, Regensburg, Germany
| | - Celia Oreja-Guevara
- Department of Neurology, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Cliínico San Carlos (IDISSC), Madrid, Spain
- Department of Medicine, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain
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9
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Lie IA, Wesnes K, Kvistad SS, Brouwer I, Wergeland S, Holmøy T, Midgard R, Bru A, Edland A, Eikeland R, Gosal S, Harbo HF, Kleveland G, Sørenes YS, Øksendal N, Barkhof F, Vrenken H, Myhr KM, Bø L, Torkildsen Ø. The Effect of Smoking on Long-term Gray Matter Atrophy and Clinical Disability in Patients with Relapsing-Remitting Multiple Sclerosis. NEUROLOGY - NEUROIMMUNOLOGY NEUROINFLAMMATION 2022; 9:9/5/e200008. [PMID: 35738901 PMCID: PMC9223432 DOI: 10.1212/nxi.0000000000200008] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 05/06/2022] [Indexed: 11/15/2022]
Abstract
Background and Objectives The relationship between smoking, long-term brain atrophy, and clinical disability in patients with multiple sclerosis (MS) is unclear. Here, we assessed long-term effects of smoking by evaluating MRI and clinical outcome measures after 10 years in smoking and nonsmoking patients with relapsing-remitting MS (RRMS). Methods We included 85 treatment-naive patients with RRMS with recent inflammatory disease activity who participated in a 10-year follow-up visit after a multicenter clinical trial of 24 months. Smoking status was decided for each patient by 2 separate definitions: by serum cotinine levels measured regularly for the first 2 years of the follow-up (during the clinical trial) and by retrospective patient self-reporting. At the 10-year follow-up visit, clinical tests were repeated, and brain atrophy measures were obtained from MRI using FreeSurfer. Differences in clinical and MRI measurements at the 10-year follow-up between smokers and nonsmokers were investigated by 2-sample t tests or Mann-Whitney tests and linear mixed-effect regression models. All analyses were conducted separately for each definition of smoking status. Results After 10 years, smoking (defined by serum cotinine levels) was associated with lower total white matter volume (β = −21.74, p = 0.039) and higher logT2 lesion volume (β = 0.22, p = 0.011). When defining smoking status by patient self-reporting, the repeated analyses found an additional association with lower deep gray matter volume (β = −2.35, p = 0.049), and smoking was also associated with a higher score (higher walking impairment) on the log timed 25-foot walk test (β = 0.050, p = 0.039) after 10 years and a larger decrease in paced auditory serial addition test (attention) scores (β = −3.58, p = 0.029). Discussion Smoking was associated with brain atrophy and disability progression 10 years later in patients with RRMS. The findings imply that patients should be advised and offered aid in smoking cessation shortly after diagnosis, to prevent long-term disability progression.
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Affiliation(s)
- Ingrid Anne Lie
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway.
| | - Kristin Wesnes
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Silje S Kvistad
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Iman Brouwer
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Stig Wergeland
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Trygve Holmøy
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Rune Midgard
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Alla Bru
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Astrid Edland
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Randi Eikeland
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Sonia Gosal
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Hanne F Harbo
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Grethe Kleveland
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Yvonne S Sørenes
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Nina Øksendal
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Frederik Barkhof
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Hugo Vrenken
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Kjell-Morten Myhr
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Lars Bø
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Øivind Torkildsen
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
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10
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Wang B, Li X, Li H, Xiao L, Zhou Z, Chen K, Gui L, Hou X, Fan R, Chen K, Wu W, Li H, Hu X. Clinical, Radiological and Pathological Characteristics Between Cerebral Small Vessel Disease and Multiple Sclerosis: A Review. Front Neurol 2022; 13:841521. [PMID: 35812110 PMCID: PMC9263123 DOI: 10.3389/fneur.2022.841521] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 05/19/2022] [Indexed: 11/13/2022] Open
Abstract
Cerebral small vessel disease (CSVD) and multiple sclerosis (MS) are a group of diseases associated with small vessel lesions, the former often resulting from the vascular lesion itself, while the latter originating from demyelinating which can damage the cerebral small veins. Clinically, CSVD and MS do not have specific signs and symptoms, and it is often difficult to distinguish between the two from the aspects of the pathology and imaging. Therefore, failure to correctly identify and diagnose the two diseases will delay early intervention, which in turn will affect the long-term functional activity for patients and even increase their burden of life. This review has summarized recent studies regarding their similarities and difference of the clinical manifestations, pathological features and imaging changes in CSVD and MS, which could provide a reliable basis for the diagnosis and differentiation of the two diseases in the future.
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Affiliation(s)
- Bijia Wang
- Department of Neurology, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xuegang Li
- Department of Neurosurgery, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Haoyi Li
- Department of Neurosurgery, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Li Xiao
- Department of Neurology, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhenhua Zhou
- Department of Neurology, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Kangning Chen
- Department of Neurology, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Li Gui
- Department of Neurology, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xianhua Hou
- Department of Neurology, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Rong Fan
- Department of Neurology, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Kang Chen
- Department of Radiology, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Wenjing Wu
- Department of Radiology, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Haitao Li
- Department of Radiology, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- *Correspondence: Haitao Li
| | - Xiaofei Hu
- Department of Radiology, First Affiliated Hospital, Army Medical University (Third Military Medical University), Chongqing, China
- Xiaofei Hu
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11
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Chen S, Wang Y, Wu X, Chang J, Jin W, Li W, Song P, Wu Y, Zhu J, Qian Y, Shen C, Yu Y, Dong F. Degeneration of the Sensorimotor Tract in Degenerative Cervical Myelopathy and Compensatory Structural Changes in the Brain. Front Aging Neurosci 2022; 14:784263. [PMID: 35444527 PMCID: PMC9014124 DOI: 10.3389/fnagi.2022.784263] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 03/09/2022] [Indexed: 12/19/2022] Open
Abstract
Degenerative cervical myelopathy is a progressive neurodegenerative disease, that has become increasingly prevalent in the aging population worldwide. The current study determined the factors affecting degeneration in the sensorimotor tract with degenerative cervical myelopathy and its relationship with brain structure. We divided patients into hyperintensity (HS) and non-hyperintensity (nHS) groups and measured the fractional anisotropy and apparent diffusion coefficients of the lateral corticospinal tract (CST), fasciculus gracilis and fasciculus cuneatus (FGC). Voxel-based morphometry (VBM) and tract-based spatial statistics (TBSS) techniques were used to estimate brain structure changes. Correlation of the modified Japanese Orthopaedic Association (mJOA) score, light touch, pinprick, motor score, and fractional anisotropy (FA) ratios of the CST at different levels were analyzed. Compared to healthy controls, the FA ratios of CST in the HS and nHS groups were decreased at all levels, and the apparent diffusion coefficient (ADC) ratio was increased only at C4/5 levels in the HS group. The FA ratio of FGC was decreased at the C3/4 and C4/5 levels in the HS group and only decreased at the C4/5 level in the nHS group. The ADC ratio was decreased only at the C4/5 level in the HS group. VBM analysis revealed that the volume of the precentral gyrus, postcentral gyrus, and paracentral lobule increased in patients compared to controls. TBSS analysis found no statistical significance between the sensory and motor tracts in white matter. The volume of clusters in HS and nHS groups negatively correlated with the C1/2 FA ratio of the CST. The results showed that the degeneration distance of the CST was longer than the FGC, and the degeneration distance was related to the degree of compression and spinal cord damage. Structural compensation and the neurotrophin family may lead to enlargement of the brain.
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Affiliation(s)
- Senlin Chen
- Department of Orthopedics, Department of Spine Surgery, The First Affiliated Hospital of AnHui Medical University, Hefei, China
| | - Ying Wang
- Department of Radiology, The First Affiliated Hospital of AnHui Medical University, Hefei, China
| | - Xianyong Wu
- Department of Orthopedics, Department of Spine Surgery, The First Affiliated Hospital of AnHui Medical University, Hefei, China
| | - Jianchao Chang
- Department of Orthopedics, Department of Spine Surgery, The First Affiliated Hospital of AnHui Medical University, Hefei, China
| | - Weiming Jin
- Department of Orthopedics, Department of Spine Surgery, The First Affiliated Hospital of AnHui Medical University, Hefei, China
| | - Wei Li
- Department of Orthopedics, Department of Spine Surgery, The First Affiliated Hospital of AnHui Medical University, Hefei, China
| | - Peiwen Song
- Department of Orthopedics, Department of Spine Surgery, The First Affiliated Hospital of AnHui Medical University, Hefei, China
| | - Yuanyuan Wu
- Department of Medical Imaging, The First Affiliated Hospital of AnHui Medical University, Hefei, China
| | - Jiajia Zhu
- Department of Radiology, The First Affiliated Hospital of AnHui Medical University, Hefei, China
| | - Yinfeng Qian
- Department of Radiology, The First Affiliated Hospital of AnHui Medical University, Hefei, China
| | - Cailiang Shen
- Department of Orthopedics, Department of Spine Surgery, The First Affiliated Hospital of AnHui Medical University, Hefei, China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of AnHui Medical University, Hefei, China
| | - Fulong Dong
- Department of Orthopedics, Department of Spine Surgery, The First Affiliated Hospital of AnHui Medical University, Hefei, China
- *Correspondence: Fulong Dong
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12
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Al-Louzi O, Letchuman V, Manukyan S, Beck ES, Roy S, Ohayon J, Pham DL, Cortese I, Sati P, Reich DS. Central Vein Sign Profile of Newly Developing Lesions in Multiple Sclerosis: A 3-Year Longitudinal Study. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2022; 9:9/2/e1120. [PMID: 35027474 PMCID: PMC8759076 DOI: 10.1212/nxi.0000000000001120] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 10/22/2021] [Indexed: 12/28/2022]
Abstract
BACKGROUND AND OBJECTIVES The central vein sign (CVS), a central linear hypointensity within lesions on T2*-weighted imaging, has been established as a sensitive and specific biomarker for the diagnosis of multiple sclerosis (MS). However, the CVS has not yet been comprehensively studied in newly developing MS lesions. We aimed to identify the CVS profiles of new white matter lesions in patients with MS followed over time and investigate demographic and clinical risk factors associated with new CVS+ or CVS- lesion development. METHODS In this retrospective longitudinal cohort study, adults from the NIH MS Natural History Study were considered for inclusion. Participants with new T2 or enhancing lesions were identified through review of the radiology report and/or longitudinal subtraction imaging. Each new lesion was evaluated for the CVS. Clinical characteristics were identified through chart review. RESULTS A total of 153 adults (95 relapsing-remitting MS, 27 secondary progressive MS, 16 primary progressive MS, 5 clinically isolated syndrome, and 10 healthy; 67% female) were included. Of this cohort, 96 had at least 1 new T2 or contrast-enhancing lesion during median 3.1 years (Q1-Q3: 0.7-6.3) of follow-up; lesions eligible for CVS evaluation were found in 62 (65%). Of 233 new CVS-eligible lesions, 159 (68%) were CVS+, with 30 (48%) individuals having only CVS+, 12 (19%) only CVS-, and 20 (32%) both CVS+ and CVS- lesions. In gadolinium-enhancing (Gd+) lesions, the CVS+ percentage increased from 102/152 (67%) at the first time point where the lesion was observed, to 92/114 (82%) after a median follow-up of 2.8 years. Younger age (OR = 0.5 per 10-year increase, 95% CI = 0.3-0.8) and higher CVS+ percentage at baseline (OR = 1.4 per 10% increase, 95% CI = 1.1-1.9) were associated with increased likelihood of new CVS+ lesion development. DISCUSSION In a cohort of adults with MS followed over a median duration of 3 years, most newly developing T2 or enhancing lesions were CVS+ (68%), and nearly half (48%) developed new CVS+ lesions only. Importantly, the effects of edema and T2 signal changes can obscure small veins in Gd+ lesions; therefore, caution and follow-up is necessary when determining their CVS status. TRIAL REGISTRATION INFORMATION Clinical trial registration number NCT00001248. CLASSIFICATION OF EVIDENCE This study provides Class III evidence that younger age and higher CVS+ percentage at baseline are associated with new CVS+ lesion development.
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Affiliation(s)
- Omar Al-Louzi
- From the Translational Neuroradiology Section (O.A.-L., V.L., S.M., E.S.B., P.S., D.S.R.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; Department of Neurology (O.A.-L., P.S.), Cedars-Sinai Medical Center, Los Angeles, CA; Section on Neural Function (S.R.), National Institute of Mental Health, NIH, Bethesda, MD; Neuroimmunology Clinic (J.O., I.C.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; and Center for Neuroscience and Regenerative Medicine (D.L.P.), the Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD
| | - Vijay Letchuman
- From the Translational Neuroradiology Section (O.A.-L., V.L., S.M., E.S.B., P.S., D.S.R.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; Department of Neurology (O.A.-L., P.S.), Cedars-Sinai Medical Center, Los Angeles, CA; Section on Neural Function (S.R.), National Institute of Mental Health, NIH, Bethesda, MD; Neuroimmunology Clinic (J.O., I.C.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; and Center for Neuroscience and Regenerative Medicine (D.L.P.), the Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD
| | - Sargis Manukyan
- From the Translational Neuroradiology Section (O.A.-L., V.L., S.M., E.S.B., P.S., D.S.R.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; Department of Neurology (O.A.-L., P.S.), Cedars-Sinai Medical Center, Los Angeles, CA; Section on Neural Function (S.R.), National Institute of Mental Health, NIH, Bethesda, MD; Neuroimmunology Clinic (J.O., I.C.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; and Center for Neuroscience and Regenerative Medicine (D.L.P.), the Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD
| | - Erin S Beck
- From the Translational Neuroradiology Section (O.A.-L., V.L., S.M., E.S.B., P.S., D.S.R.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; Department of Neurology (O.A.-L., P.S.), Cedars-Sinai Medical Center, Los Angeles, CA; Section on Neural Function (S.R.), National Institute of Mental Health, NIH, Bethesda, MD; Neuroimmunology Clinic (J.O., I.C.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; and Center for Neuroscience and Regenerative Medicine (D.L.P.), the Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD
| | - Snehashis Roy
- From the Translational Neuroradiology Section (O.A.-L., V.L., S.M., E.S.B., P.S., D.S.R.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; Department of Neurology (O.A.-L., P.S.), Cedars-Sinai Medical Center, Los Angeles, CA; Section on Neural Function (S.R.), National Institute of Mental Health, NIH, Bethesda, MD; Neuroimmunology Clinic (J.O., I.C.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; and Center for Neuroscience and Regenerative Medicine (D.L.P.), the Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD
| | - Joan Ohayon
- From the Translational Neuroradiology Section (O.A.-L., V.L., S.M., E.S.B., P.S., D.S.R.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; Department of Neurology (O.A.-L., P.S.), Cedars-Sinai Medical Center, Los Angeles, CA; Section on Neural Function (S.R.), National Institute of Mental Health, NIH, Bethesda, MD; Neuroimmunology Clinic (J.O., I.C.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; and Center for Neuroscience and Regenerative Medicine (D.L.P.), the Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD
| | - Dzung L Pham
- From the Translational Neuroradiology Section (O.A.-L., V.L., S.M., E.S.B., P.S., D.S.R.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; Department of Neurology (O.A.-L., P.S.), Cedars-Sinai Medical Center, Los Angeles, CA; Section on Neural Function (S.R.), National Institute of Mental Health, NIH, Bethesda, MD; Neuroimmunology Clinic (J.O., I.C.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; and Center for Neuroscience and Regenerative Medicine (D.L.P.), the Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD
| | - Irene Cortese
- From the Translational Neuroradiology Section (O.A.-L., V.L., S.M., E.S.B., P.S., D.S.R.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; Department of Neurology (O.A.-L., P.S.), Cedars-Sinai Medical Center, Los Angeles, CA; Section on Neural Function (S.R.), National Institute of Mental Health, NIH, Bethesda, MD; Neuroimmunology Clinic (J.O., I.C.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; and Center for Neuroscience and Regenerative Medicine (D.L.P.), the Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD
| | - Pascal Sati
- From the Translational Neuroradiology Section (O.A.-L., V.L., S.M., E.S.B., P.S., D.S.R.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; Department of Neurology (O.A.-L., P.S.), Cedars-Sinai Medical Center, Los Angeles, CA; Section on Neural Function (S.R.), National Institute of Mental Health, NIH, Bethesda, MD; Neuroimmunology Clinic (J.O., I.C.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; and Center for Neuroscience and Regenerative Medicine (D.L.P.), the Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD
| | - Daniel S Reich
- From the Translational Neuroradiology Section (O.A.-L., V.L., S.M., E.S.B., P.S., D.S.R.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; Department of Neurology (O.A.-L., P.S.), Cedars-Sinai Medical Center, Los Angeles, CA; Section on Neural Function (S.R.), National Institute of Mental Health, NIH, Bethesda, MD; Neuroimmunology Clinic (J.O., I.C.), National Institute of Neurological Disorders and Stroke, NIH, Bethesda, MD; and Center for Neuroscience and Regenerative Medicine (D.L.P.), the Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD.
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13
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Hersh CM, Altincatal A, Belviso N, Kapadia S, de Moor C, Rudick R, Williams JR, Miller C, Koulinska I. Real-world effectiveness of dimethyl fumarate versus fingolimod in a cohort of patients with multiple sclerosis using standardized, quantitative outcome metrics. Mult Scler J Exp Transl Clin 2022; 8:20552173211069852. [PMID: 35024161 PMCID: PMC8744178 DOI: 10.1177/20552173211069852] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 12/03/2021] [Accepted: 12/09/2021] [Indexed: 11/16/2022] Open
Abstract
Background Prior studies suggest comparable effectiveness of dimethyl fumarate (DMF) and
fingolimod (FTY) in multiple sclerosis (MS) using relapse, Expanded
Disability Status Score (EDSS), and magnetic resonance imaging (MRI) lesion
metrics. Objective Compare the real-world effectiveness of DMF versus FTY using quantitative,
validated neuroperformance tests, MRI, and serum neurofilament light chain
(sNfL) outcomes while controlling for between-group differences. Methods Patients were eligible if on DMF or FTY when first enrolled in the MS
Partners Advancing Technology and Health Solutions (MS PATHS) network and
had ≥1-year follow-up in MS PATHS. Sensitivity analysis included a subgroup
who started DMF/FTY ≤2 years from enrolment. After propensity score
weighting, differences in means and in mean 1-year change of
neuroperformance and MRI outcomes were compared. sNfL levels were assessed.
This was a non-randomized comparison. Results In the overall cohort, no significant differences were observed between DMF
(n = 702) and FTY (n = 600) in
neuroperformance or MRI outcomes including brain volume loss; mean time (SD)
since treatment initiation was 1.98 (0.68) years for DMF and 2.02 (0.75)
years for FTY. A sensitivity analysis controlling for DMF and FTY treatment
duration yielded similar results. Conclusion In this study, DMF and FTY demonstrated similar effects on physical and
cognitive neuroperformance and MRI outcomes. Direct comparisons to other
fumarates and S1P receptor modulators were not conducted.
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Affiliation(s)
| | - Arman Altincatal
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, USA
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14
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Ben-Zacharia AB, Janal MN, Brody AA, Wolinsky J, Lublin F, Cutter G. The Effect of Body Mass Index on Brain Volume and Cognitive Function in Relapsing-Remitting Multiple sclerosis: A CombiRx Secondary Analysis. J Cent Nerv Syst Dis 2021; 13:11795735211042173. [PMID: 34759712 PMCID: PMC8573693 DOI: 10.1177/11795735211042173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Accepted: 08/07/2021] [Indexed: 11/22/2022] Open
Abstract
Background Multiple sclerosis (MS) is an autoimmune disease leading to physical, emotional and cognitive disability. High body mass index (BMI) may impact cognitive function and brain volume in MS. Yet, there is paucity of evidence addressing the impact of BMI on cognitive function and brain volume in MS. Objectives The purpose of this study was to examine the effects of BMI on normal appearing brain volume and cognitive function in patients with relapsing–remitting MS. Methods A secondary data analysis of the NIH CombiRx study was conducted. Multivariate regression and mixed model analyses were executed to analyze the effect of BMI on brain volume and cognitive function. Results The mean baseline age of the 768 participants was 38.2(SD = 9.4) years. 73% were female and 88.8% were Caucasian. The mean BMI was 28.8 kg/m2(SD = 6.7). The multivariate regression and mixed model analyses failed to show a clinical effect of BMI on brain volume and cognitive function. Conclusion BMI did not show an effect on cognitive function and brain volume among MS patients. Although there is increased interest in the effects of modifiable factors on the course of MS, the effects of BMI on brain volume and cognitive function are debatable and warrant further research. ClinicalTrials.gov NCT00211887
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Affiliation(s)
- Aliza Bitton Ben-Zacharia
- Mount Sinai Hospital, New York, NY, USA.,Bellevue School of Nursing, Hunter College, New York, NY, USA
| | - Malvin N Janal
- Department of Epidemiology and Health Promotion, NYU College of Dentistry, New York, NY, USA
| | | | - Jerry Wolinsky
- McGovern Medical School, University of Texas, Huston, TX, USA
| | - Fred Lublin
- Department of Medicine, Mount Sinai Icahn School of Medicine, New York, NY, USA
| | - Gary Cutter
- School of Public Health, UAB, Birmingham, AL, USA
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15
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Fuchs TA, Schoonheim MM, Broeders TAA, Hulst HE, Weinstock-Guttman B, Jakimovski D, Silver J, Zivadinov R, Geurts JJG, Dwyer MG, Benedict RHB. Functional network dynamics and decreased conscientiousness in multiple sclerosis. J Neurol 2021; 269:2696-2706. [PMID: 34713325 DOI: 10.1007/s00415-021-10860-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2021] [Revised: 10/15/2021] [Accepted: 10/17/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Conscientiousness is a personality trait that declines in people with multiple sclerosis (PwMS) and its decline predicts worse clinical outcomes. This study aims to investigate the neural underpinnings of lower Conscientiousness in PwMS by examining MRI anomalies in functional network dynamics. METHODS 70 PwMS and 50 healthy controls underwent personality assessment and resting-state MRI. Associations with dynamic functional network properties (i.e., eigenvector centrality) were evaluated, using a dynamic sliding-window approach. RESULTS In PwMS, lower Conscientiousness was associated with increased variability of centrality in the left insula (tmax = 4.21) and right inferior parietal lobule (tmax = 3.79); a relationship also observed in regressions accounting for handedness, disease duration, disability, and tract disruption in relevant structural networks (ΔR2 = 0.071, p = 0.003; ΔR2 = 0.094, p = 0.004). Centrality dynamics of the observed regions were not associated with Neuroticism (R2 < 0.001, p = 0.956; R2 < 0.001, p = 0.945). As well, higher Conscientiousness was associated with greater variability in connectivity for the left insula with the default-mode network (F = 3.92, p = 0.023) and limbic network (F = 5.66, p = 0.005). CONCLUSION Lower Conscientiousness in PwMS was associated with increased variability in network centrality, most prominently for the left insula and right inferior parietal cortex. This effect, specific to Conscientiousness and significant after accounting for disability and structural network damage, could indicate that overall stable network centrality is lost in patients with low Conscientiousness, especially for the insula and right parietal cortex. The positive relationship between Conscientiousness and variability of connectivity between left insula and default-mode network potentially affirms that dynamics between the salience and default-mode networks is related to the regulation of behavior.
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Affiliation(s)
- Tom A Fuchs
- Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.,Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Tommy A A Broeders
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Hanneke E Hulst
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Jacob Silver
- Department of Orthopedics, School of Medicine, University of Connecticut, Farmington, CT, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.,Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.,Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Jeroen J G Geurts
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.,Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.,Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Ralph H B Benedict
- Jacobs Multiple Sclerosis Center for Treatment and Research, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
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16
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Fuchs TA, Dwyer MG, Jakimovski D, Bergsland N, Ramasamy DP, Weinstock-Guttman B, Hb Benedict R, Zivadinov R. Quantifying disease pathology and predicting disease progression in multiple sclerosis with only clinical routine T2-FLAIR MRI. NEUROIMAGE-CLINICAL 2021; 31:102705. [PMID: 34091352 PMCID: PMC8182301 DOI: 10.1016/j.nicl.2021.102705] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 05/12/2021] [Accepted: 05/19/2021] [Indexed: 12/17/2022]
Abstract
We explored five brain pathology measures from clinical-quality T2-FLAIR MRI in MS. These included LVV, thalamus volume, MOV, SCLV and network efficiency. T2-FLAIR measures predicted a majority of the variance in research-quality MRI. T2-FLAIR measures correlated with neurologic disability and cognitive function. T2-FLAIR measures predicted disability progression over five-years. T2-FLAIR measures can be used in legacy clinical datasets.
Background Although quantitative measures from research-quality MRI provide a means to study multiple sclerosis (MS) pathology in vivo, these metrics are often unavailable in legacy clinical datasets. Objective To determine how well an automatically-generated quantitative snapshot of brain pathology, measured only on clinical routine T2-FLAIR MRI, can substitute for more conventional measures on research MRI in terms of capturing multi-factorial disease pathology and providing similar clinical relevance. Methods MRI with both research-quality sequences and conventional clinical T2-FLAIR was acquired for 172 MS patients at baseline, and neurologic disability was assessed at baseline and five-years later. Five measures (thalamus volume, lateral ventricle volume, medulla oblongata volume, lesion volume, and network efficiency) for quantifying disparate aspects of neuropathology from low-resolution T2-FLAIR were applied to predict standard research-quality MRI measures. They were compared in regard to association with future neurologic disability and disease progression over five years. Results The combination of the five T2-FLAIR measures explained most of the variance in standard research-quality MRI. T2-FLAIR measures were associated with neurologic disability and cognitive function five-years later (R2 = 0.279, p < 0.001; R2 = 0.382, p < 0.001), similar to standard research-quality MRI (R2 = 0.279, p < 0.001; R2 = 0.366, p < 0.001). They also similarly predicted disability progression over five years (%-correctly-classified = 69.8, p = 0.034), compared to standard research-quality MRI (%-correctly-classified = 72.4%, p = 0.022) in relapsing-remitting MS. Conclusion A set of five T2-FLAIR-only measures can substitute for standard research-quality MRI, especially in relapsing-remitting MS. When only clinical T2-FLAIR is available, it can be used to obtain substantially more quantitative information about brain pathology and disability than is currently standard practice.
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Affiliation(s)
- Tom A Fuchs
- 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; Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - 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; IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Deepa P Ramasamy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Ralph Hb Benedict
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy.
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17
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Hauer L, Perneczky J, Sellner J. A global view of comorbidity in multiple sclerosis: a systematic review with a focus on regional differences, methodology, and clinical implications. J Neurol 2020; 268:4066-4077. [PMID: 32719975 PMCID: PMC8505322 DOI: 10.1007/s00415-020-10107-y] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Revised: 07/18/2020] [Accepted: 07/21/2020] [Indexed: 12/24/2022]
Abstract
Multiple sclerosis (MS) is a chronic autoimmune disorder of the central nervous system which is associated with numerous comorbidities. These include cardiovascular disease, psychiatric and neurologic disturbances, restless leg syndrome, migraine, cancer, autoimmune diseases, and metabolic disorders. Comorbid disease is an important consideration for clinicians treating patients with MS; early presentation of comorbidities can obscure or delay MS diagnosis, as well as significantly impacting the disease course. Improved understanding of comorbidities and their emergence in MS populations is important for improving the quality of life and optimizing treatment for patients. Therefore, we evaluated published studies reporting epidemiologic data on comorbidities and their associated impact on disease progression in patients with MS (PwMS). The prevalence of neurologic, cardiovascular, metabolic, and autoimmune comorbidities was elevated in PwMS in general, and furthermore, this adversely affected a broad range of outcomes. Compared with PwMS, cancer rates in people without MS or the general population were lower, which should prompt further studies into the mechanisms of both diseases. Studies were under-represented in many regions owing to the latitudinal gradient of MS and possible underfunding of studies.
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Affiliation(s)
- Larissa Hauer
- Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, Christian Doppler Medical Center, Paracelsus Medical University, Salzburg, Austria
| | - Julian Perneczky
- Department of Neurology, Landesklinikum Mistelbach-Gänserndorf, Liechtensteinstrase 67, 2130, Mistelbach, Austria
| | - Johann Sellner
- Department of Neurology, Landesklinikum Mistelbach-Gänserndorf, Liechtensteinstrase 67, 2130, Mistelbach, Austria. .,Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany. .,Department of Neurology, Christian Doppler Medical Center, Paracelsus Medical University, Salzburg, Austria.
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18
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Salter A, Kowalec K, Fitzgerald KC, Cutter G, Marrie RA. Comorbidity is associated with disease activity in MS: Findings from the CombiRx trial. Neurology 2020; 95:e446-e456. [PMID: 32554770 DOI: 10.1212/wnl.0000000000010024] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 02/26/2020] [Indexed: 01/09/2023] Open
Abstract
OBJECTIVE To determine whether comorbidity is associated with clinical (relapses, disability worsening) and MRI outcomes in multiple sclerosis (MS) by conducting a secondary analysis of the CombiRx clinical trial. METHODS CombiRx compared interferon beta-1a, glatiramer acetate, and the combination of these agents. For participants eligible for evaluation of 6-month confirmed disability worsening, we used medical history, concomitant medications, and adverse events to ascertain comorbidity status. Comorbid conditions evaluated included hypertension, dyslipidemia, diabetes mellitus, depression, anxiety disorders, and migraine. Clinical outcomes included disease activity consisting of protocol-defined relapses, disability worsening, and MRI activity. We summarized the prevalence of these comorbid conditions and their association with disease activity and its components using multivariable Cox regression. RESULTS Of the 1,008 participants randomized, 959 (95.1%) were eligible for assessment of 6-month disability worsening; for this subgroup, the median length of follow-up was 3.4 years (range 0.5-6.9 years). Overall, 55.1% of participants had ≥1 comorbidity at enrollment. After adjustment, anxiety (hazard ratio [HR] 1.25, 95% confidence interval [CI] 1.01-1.55) and dyslipidemia (HR 1.32, 95% CI 1.01-1.72) were associated with an increased hazard of any disease activity, while migraine (HR 0.80, 95% CI 0.67-0.97) was associated with a decreased hazard. CONCLUSIONS In this large trial population with rigorously obtained outcomes, comorbid conditions were common among participants and influenced disease outcomes, including relapses. The comorbidity burden of clinical trial participants with MS may be an important factor in the outcome of clinical trials. Additional investigations of the impact of comorbidity on clinical trial outcomes and response to disease-modifying therapies are warranted.
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Affiliation(s)
- Amber Salter
- From the Department of Biostatistics (A.S.), Washington University in St. Louis, MO; College of Pharmacy (K.K.), and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Solna, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Department of Biostatistics (G.C.), University of Alabama in Birmingham School of Public Health.
| | - Kaarina Kowalec
- From the Department of Biostatistics (A.S.), Washington University in St. Louis, MO; College of Pharmacy (K.K.), and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Solna, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Department of Biostatistics (G.C.), University of Alabama in Birmingham School of Public Health
| | - Kathryn C Fitzgerald
- From the Department of Biostatistics (A.S.), Washington University in St. Louis, MO; College of Pharmacy (K.K.), and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Solna, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Department of Biostatistics (G.C.), University of Alabama in Birmingham School of Public Health
| | - Gary Cutter
- From the Department of Biostatistics (A.S.), Washington University in St. Louis, MO; College of Pharmacy (K.K.), and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Solna, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Department of Biostatistics (G.C.), University of Alabama in Birmingham School of Public Health
| | - Ruth Ann Marrie
- From the Department of Biostatistics (A.S.), Washington University in St. Louis, MO; College of Pharmacy (K.K.), and Departments of Internal Medicine and Community Health Sciences (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Medical Epidemiology and Biostatistics (K.K.), Karolinska Institutet, Solna, Sweden; Department of Neurology (K.C.F.), Johns Hopkins School of Medicine, Baltimore, MD; and Department of Biostatistics (G.C.), University of Alabama in Birmingham School of Public Health
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19
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Gravesteijn AS, Beckerman H, de Jong BA, Hulst HE, de Groot V. Neuroprotective effects of exercise in people with progressive multiple sclerosis (Exercise PRO-MS): study protocol of a phase II trial. BMC Neurol 2020; 20:177. [PMID: 32393193 PMCID: PMC7212565 DOI: 10.1186/s12883-020-01765-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 05/04/2020] [Indexed: 12/31/2022] Open
Abstract
Background Neurodegeneration, rather than inflammation, plays a key role in the progressive phase of multiple sclerosis (MS). Current disease modifying treatment options for people with progressive MS (PMS) do not specifically target neurodegeneration. Preliminary evidence suggests that exercise therapy might have neuroprotective effects. However, neuroprotective effect studies of exercise interventions in PMS are scarce and the possible mode of action underlying neuroprotective effects of exercise are unknown and need to be elucidated. The main aim of this phase II trial is to assess whether progressive resistance training (PRT) and high intensity interval training (HIIT), can slow down neurodegeneration in people with PMS. Methods In a single-blinded phase II clinical trial with an extended baseline period, 60 people with PMS will be randomly assigned to PRT or HIIT. The participants should have had a relapse onset of MS with confirmed disease progression, however still ambulatory. The duration of the study is 48 weeks, consisting of 16 weeks baseline period (no intervention), 16 weeks intervention and 16 weeks follow-up. Patient-tailored training will be performed 3 times per week for one hour in groups, led by an experienced physiotherapist. The primary outcome measure is neurodegeneration, measured as whole brain atrophy on magnetic resonance imaging (MRI). Secondary outcome parameters will include other biomarkers associated with neurodegeneration (i.e. regional brain atrophy, lesion load, white matter integrity, resting state functional connectivity, blood biomarkers (brain derived neurotrophic factor (BDNF) and serum neurofilament light (sNFL)), patient functioning (physical and cognitive) and cardiovascular risk factors. Discussion Besides the primary outcome measures, this study will examine a large variety of biomarkers associated with neurodegeneration after an exercise intervention. Combining outcome parameters may help to elucidate the mode of action underlying neuroprotective effects of exercise. Trial registration This trial is prospectively registered at the Dutch Trial Registry (number NL8265, date 06-01-2020).
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Affiliation(s)
- A S Gravesteijn
- Department of Rehabilitation Medicine, MS Center Amsterdam, Amsterdam Neuroscience research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007, MB, Amsterdam, the Netherlands.
| | - H Beckerman
- Department of Rehabilitation Medicine, MS Center Amsterdam, Amsterdam Neuroscience research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007, MB, Amsterdam, the Netherlands
| | - B A de Jong
- Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007, MB, Amsterdam, the Netherlands
| | - H E Hulst
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007, MB, Amsterdam, the Netherlands
| | - V de Groot
- Department of Rehabilitation Medicine, MS Center Amsterdam, Amsterdam Neuroscience research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, PO Box 7057, 1007, MB, Amsterdam, the Netherlands
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20
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Ning K, Zhao L, Matloff W, Sun F, Toga AW. Association of relative brain age with tobacco smoking, alcohol consumption, and genetic variants. Sci Rep 2020; 10:10. [PMID: 32001736 PMCID: PMC6992742 DOI: 10.1038/s41598-019-56089-4] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 12/06/2019] [Indexed: 12/24/2022] Open
Abstract
Brain age is a metric that quantifies the degree of aging of a brain based on whole-brain anatomical characteristics. While associations between individual human brain regions and environmental or genetic factors have been investigated, how brain age is associated with those factors remains unclear. We investigated these associations using UK Biobank data. We first trained a statistical model for obtaining relative brain age (RBA), a metric describing a subject's brain age relative to peers, based on whole-brain anatomical measurements, from training set subjects (n = 5,193). We then applied this model to evaluation set subjects (n = 12,115) and tested the association of RBA with tobacco smoking, alcohol consumption, and genetic variants. We found that daily or almost daily consumption of tobacco and alcohol were both significantly associated with increased RBA (P < 0.001). We also found SNPs significantly associated with RBA (p-value < 5E-8). The SNP most significantly associated with RBA is located in MAPT gene. Our results suggest that both environmental and genetic factors are associated with structural brain aging.
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Affiliation(s)
- Kaida Ning
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, 90033, USA
- Molecular and Computational Biology Program, University of Southern California, Los Angeles, CA, 90089, USA
| | - Lu Zhao
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, 90033, USA
| | - Will Matloff
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, 90033, USA
- Neuroscience Graduate Program, University of Southern California, Los Angeles, CA, 90089, USA
| | - Fengzhu Sun
- Molecular and Computational Biology Program, University of Southern California, Los Angeles, CA, 90089, USA
| | - Arthur W Toga
- USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine of University of Southern California, Los Angeles, California, 90033, USA.
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21
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Amato MP, Prestipino E, Bellinvia A, Niccolai C, Razzolini L, Pastò L, Fratangelo R, Tudisco L, Fonderico M, Mattiolo PL, Goretti B, Zimatore GB, Losignore NA, Portaccio E, Lolli F. Cognitive impairment in multiple sclerosis: An exploratory analysis of environmental and lifestyle risk factors. PLoS One 2019; 14:e0222929. [PMID: 31634346 PMCID: PMC6802833 DOI: 10.1371/journal.pone.0222929] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 09/10/2019] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND Many potentially modifiable risk factors for MS are investigated. It is not known, however, if these factors also apply to MS-related cognitive impairment (CI), a frequent consequence of MS. OBJECTIVE The aim of our study was to assess risk factors for CI in MS patients, focusing on environmental exposures, lifestyle and comorbidities. METHODS We included MS patients referring to MS Centers in Florence and Barletta between 2014 and 2017. Neuropsychological performance was assessed through the Rao's battery and Stroop test, cognitive reserve (premorbid intelligence quotient-IQ) was evaluated using the National Adult Reading Test (NART). Potential risk factors were investigated through a semi-structured questionnaire. RESULTS 150 patients were included. CI was detected in 45 (30%) subjects and was associated with older age (p<0.005), older age at MS onset (p = 0.016), higher EDSS score (p<0.005), progressive disease course (p = 0.048) and lower premorbid IQ score (p<0.005). As for risk factors, CI was related with lower physical activity in childhood-adolescence (p<0.005). In women, hormonal therapy resulted to be protective against CI (p = 0.041). However, in the multivariable analysis, the only significant predictors of CI were older age (p<0.05; OR 1.06, 95% CI 1.02-1.10) and lower premorbid IQ (p<0.05; OR 0.93, 95% CI: 0.88-0.98). Removing IQ from the model, CI was associated with higher EDSS (p = 0.030; OR 1.25, 95% CI 1.02-1.53) and, marginally, previous physical activity (p = 0.066; OR 0.49, 95% CI: 0.23-1.05). CONCLUSIONS Our findings suggest that physical activity in childhood-adolescence could be a contributor to cognitive reserve building, thus representing a potential protective factors for MS-related CI susceptible to preventive strategies.
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Affiliation(s)
- Maria Pia Amato
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Elio Prestipino
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy
| | - Angelo Bellinvia
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy
| | - Claudia Niccolai
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy
| | - Lorenzo Razzolini
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy
| | - Luisa Pastò
- SOD Neurological Rehabilitation, Careggi University Hospital, Florence, Italy
| | - Roberto Fratangelo
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy
| | - Laura Tudisco
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy
| | - Mattia Fonderico
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy
| | - Paolo Luca Mattiolo
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy
| | - Benedetta Goretti
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy
| | | | | | | | - Francesco Lolli
- Department NEUROFARBA, Section of Neurosciences, University of Florence, Florence, Italy
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22
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Azevedo CJ, Cen SY, Jaberzadeh A, Zheng L, Hauser SL, Pelletier D. Contribution of normal aging to brain atrophy in MS. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2019; 6:6/6/e616. [PMID: 32330116 PMCID: PMC6807662 DOI: 10.1212/nxi.0000000000000616] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Accepted: 07/01/2019] [Indexed: 12/21/2022]
Abstract
Objective To identify the top brain regions affected by MS-specific atrophy (i.e., atrophy in excess of normal aging) and to test whether normal aging and MS-specific atrophy increase or decrease in these regions with age. Methods Six hundred fifty subjects (2,790 MRI time points) were analyzed: 520 subjects with relapse-onset MS from a 5-year prospective cohort with annual standardized 1-mm 3D T1-weighted images (3DT1s; 2,483 MRIs) and 130 healthy controls with longitudinal 3DT1s (307 MRIs). Rates of change in all FreeSurfer regions (v5.3) and Structural Image Evaluation Using Normalization of Atrophy (SIENA) were estimated with mixed-effects models. All FreeSurfer regions were ranked by the MS-specific atrophy slope/standard error ratio (βMS × time/SEβMS × time). In the top regions, age was added as an effect modifier to test whether MS-specific atrophy varied by age. Results The top-ranked regions were all gray matter structures. For SIENA, normal aging increased from 0.01%/y at age 30 years to −0.31%/y at age 60 years (−0.11% ± 0.032%/decade, p < 0.01), whereas MS-specific atrophy decreased from −0.38%/y at age 30 years to −0.12%/y at age 60 years (0.09% ± 0.035%/decade, p = 0.01). Similarly, in the thalamus, normal aging increased from −0.15%/y at age 30 years to −0.62%/y at age 60 years (−0.16% ± 0.079%/decade, p < 0.05), and MS-specific atrophy decreased from −0.59%/y at age 30 years to −0.05%/y at age 60 years (0.18% ± 0.08%/decade, p < 0.05). In the putamen and caudate, normal aging and MS-specific atrophy did not vary by age. Conclusions For SIENA and thalamic atrophy, the contribution of normal aging increases with age, but does not change in the putamen and caudate. This may have substantial implications to understand the biology of brain atrophy in MS.
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Affiliation(s)
- Christina J Azevedo
- From the Department of Neurology (C.J.A., S.Y.C., A.J., L.Z., D.P.), University of Southern California, Los Angeles; and Department of Neurology (S.L.H.), University of California, San Francisco
| | - Steven Y Cen
- From the Department of Neurology (C.J.A., S.Y.C., A.J., L.Z., D.P.), University of Southern California, Los Angeles; and Department of Neurology (S.L.H.), University of California, San Francisco
| | - Amir Jaberzadeh
- From the Department of Neurology (C.J.A., S.Y.C., A.J., L.Z., D.P.), University of Southern California, Los Angeles; and Department of Neurology (S.L.H.), University of California, San Francisco
| | - Ling Zheng
- From the Department of Neurology (C.J.A., S.Y.C., A.J., L.Z., D.P.), University of Southern California, Los Angeles; and Department of Neurology (S.L.H.), University of California, San Francisco
| | - Stephen L Hauser
- From the Department of Neurology (C.J.A., S.Y.C., A.J., L.Z., D.P.), University of Southern California, Los Angeles; and Department of Neurology (S.L.H.), University of California, San Francisco
| | - Daniel Pelletier
- From the Department of Neurology (C.J.A., S.Y.C., A.J., L.Z., D.P.), University of Southern California, Los Angeles; and Department of Neurology (S.L.H.), University of California, San Francisco.
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23
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Brandstadter R, Sand IK, Sumowski JF. Beyond rehabilitation: A prevention model of reserve and brain maintenance in multiple sclerosis. Mult Scler 2019; 25:1372-1378. [PMID: 31469354 PMCID: PMC6719722 DOI: 10.1177/1352458519856847] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Persons with multiple sclerosis (MS) experience cognitive and physical decline despite more effective disease-modifying therapies (DMTs), and symptomatic treatments currently have limited efficacy. The best treatment of MS disability may, therefore, be prevention of decline. Here, we present a working model of reserve and brain maintenance, with a focus on modifiable risk and protective factors. At disease onset, patients have varying degrees of reserve, broadly conceptualized as the dynamic availability of cerebral resources to support functional capacity. A clinical focus on prevention aims to minimize factors that deplete reserve (e.g. disease burden, comorbidities) and maximize factors that preserve reserve (e.g. DMTs, cardiovascular health). We review evidence for cardiovascular health, diet, and sleep as three potentially important modifiable factors that may modulate cerebral reserve generally, but also in disease-specific ways. We frame the brain as a limited capacity system in which inefficient usage of available cerebral capacity (reserve) leads to or exacerbates functional deficits, and we provide examples of factors that may lead to such inefficiency (e.g. poor mood, obesity, cognitive-motor dual-tasking). Finally, we discuss the challenges and responsibilities of MS neurologists and patients in pursuing comprehensive brain maintenance as a preventive approach.
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Affiliation(s)
- Rachel Brandstadter
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Corinne Goldsmith Dickinson Center for MS, Mount Sinai Hospital, New York, NY, USA
| | - Ilana Katz Sand
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Corinne Goldsmith Dickinson Center for MS, Mount Sinai Hospital, New York, NY, USA
| | - James F. Sumowski
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Corinne Goldsmith Dickinson Center for MS, Mount Sinai Hospital, New York, NY, USA
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24
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Fuchs TA, Benedict RHB, Bartnik A, Choudhery S, Li X, Mallory M, Oship D, Yasin F, Ashton K, Jakimovski D, Bergsland N, Ramasamy DP, Weinstock-Guttman B, Zivadinov R, Dwyer MG. Preserved network functional connectivity underlies cognitive reserve in multiple sclerosis. Hum Brain Mapp 2019; 40:5231-5241. [PMID: 31444887 PMCID: PMC6864900 DOI: 10.1002/hbm.24768] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 07/26/2019] [Accepted: 08/08/2019] [Indexed: 12/27/2022] Open
Abstract
Cognitive reserve is one's mental resilience or resistance to the effects of structural brain damage. Reserve effects are well established in people with multiple sclerosis (PwMS) and Alzheimer's disease, but the neural basis of this phenomenon is unclear. We aimed to investigate whether preservation of functional connectivity explains cognitive reserve. Seventy‐four PwMS and 29 HCs underwent neuropsychological assessment and 3 T MRI. Structural damage measures included gray matter (GM) atrophy and network white matter (WM) tract disruption between pairs of GM regions. Resting‐state functional connectivity was also assessed. PwMS exhibited significantly impaired cognitive processing speed (t = 2.14, p = .037) and visual/spatial memory (t = 2.72, p = .008), and had significantly greater variance in functional connectivity relative to HCs within relevant networks (p < .001, p < .001, p = .016). Higher premorbid verbal intelligence, a proxy for cognitive reserve, predicted relative preservation of functional connectivity despite accumulation of GM atrophy (standardized‐β = .301, p = .021). Furthermore, preservation of functional connectivity attenuated the impact of structural network WM tract disruption on cognition (β = −.513, p = .001, for cognitive processing speed; β = −.209, p = .066, for visual/spatial memory). The data suggests that preserved functional connectivity explains cognitive reserve in PwMS, helping to maintain cognitive capacity despite structural damage.
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Affiliation(s)
- Tom A Fuchs
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Ralph H B Benedict
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Alexander Bartnik
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Sanjeevani Choudhery
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Xian Li
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Matthew Mallory
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Devon Oship
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Faizan Yasin
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Kira Ashton
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Dejan Jakimovski
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Niels Bergsland
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Deepa P Ramasamy
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Robert Zivadinov
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Michael G Dwyer
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
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25
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Castro K, Ntranos A, Amatruda M, Petracca M, Kosa P, Chen EY, Morstein J, Trauner D, Watson CT, Kiebish MA, Bielekova B, Inglese M, Katz Sand I, Casaccia P. Body Mass Index in Multiple Sclerosis modulates ceramide-induced DNA methylation and disease course. EBioMedicine 2019; 43:392-410. [PMID: 30981648 PMCID: PMC6557766 DOI: 10.1016/j.ebiom.2019.03.087] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 03/24/2019] [Accepted: 03/29/2019] [Indexed: 01/03/2023] Open
Abstract
BACKGROUND Multiple Sclerosis (MS) results from genetic predisposition and environmental variables, including elevated Body Mass Index (BMI) in early life. This study addresses the effect of BMI on the epigenome of monocytes and disease course in MS. METHODS Fifty-four therapy-naive Relapsing Remitting (RR) MS patients with high and normal BMI received clinical and MRI evaluation. Blood samples were immunophenotyped, and processed for unbiased plasma lipidomic profiling and genome-wide DNA methylation analysis of circulating monocytes. The main findings at baseline were validated in an independent cohort of 91 therapy-naïve RRMS patients. Disease course was evaluated by a two-year longitudinal follow up and mechanistic hypotheses tested in human cell cultures and in animal models of MS. FINDINGS Higher monocytic counts and plasma ceramides, and hypermethylation of genes involved in negative regulation of cell proliferation were detected in the high BMI group of MS patients compared to normal BMI. Ceramide treatment of monocytic cell cultures increased proliferation in a dose-dependent manner and was prevented by DNA methylation inhibitors. The high BMI group of MS patients showed a negative correlation between monocytic counts and brain volume. Those subjects at a two-year follow-up showed increased T1 lesion load, increased disease activity, and worsened clinical disability. Lastly, the relationship between body weight, monocytic infiltration, DNA methylation and disease course was validated in mouse models of MS. INTERPRETATION High BMI negatively impacts disease course in Multiple Sclerosis by modulating monocyte cell number through ceramide-induced DNA methylation of anti-proliferative genes. FUND: This work was supported by funds from the Friedman Brain Institute, NIH, and Multiple Sclerosis Society.
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Affiliation(s)
- Kamilah Castro
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, NY, New York, United States of America
| | - Achilles Ntranos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, United States of America
| | - Mario Amatruda
- Advanced Science Research Center at The Graduate Center of The City University of New York and Inter-Institutional Center for Glial Biology at Icahn School of Medicine New York, New York, United States of America
| | - Maria Petracca
- Department of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, United States of America
| | - Peter Kosa
- Neuroimmunological Disease Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States of America
| | - Emily Y Chen
- BERG, LLC. Framingham, MA, United States of America
| | - Johannes Morstein
- Department of Chemistry, New York University, NY, New York, United States of America
| | - Dirk Trauner
- Department of Chemistry, New York University, NY, New York, United States of America
| | - Corey T Watson
- Department of Biochemistry and Molecular Genetics, University of Louisville, Louisville, KY, United States of America
| | | | - Bibiana Bielekova
- Neuroimmunological Disease Section, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States of America
| | - Matilde Inglese
- Department of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, United States of America
| | - Ilana Katz Sand
- Department of Neurology, Icahn School of Medicine at Mount Sinai, NY, New York, United States of America
| | - Patrizia Casaccia
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, NY, New York, United States of America; Advanced Science Research Center at The Graduate Center of The City University of New York and Inter-Institutional Center for Glial Biology at Icahn School of Medicine New York, New York, United States of America.
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26
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Barclay K, Carruthers R, Traboulsee A, Bass AD, LaGanke C, Bertolotto A, Boster A, Celius EG, de Seze J, Cruz DD, Habek M, Lee JM, Limmroth V, Meuth SG, Oreja-Guevara C, Pagnotta P, Vos C, Ziemssen T, Baker DP, Wijmeersch BV. Best Practices for Long-Term Monitoring and Follow-Up of Alemtuzumab-Treated MS Patients in Real-World Clinical Settings. Front Neurol 2019; 10:253. [PMID: 30967831 PMCID: PMC6439479 DOI: 10.3389/fneur.2019.00253] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Accepted: 02/25/2019] [Indexed: 12/02/2022] Open
Abstract
Multiple sclerosis (MS) is a chronic autoimmune neurological disease that typically affects young adults, causing irreversible physical disability and cognitive impairment. Alemtuzumab, administered intravenously as 2 initial courses of 12 mg/day (5 consecutive days at baseline, and 3 consecutive days 12 months later), resulted in significantly greater improvements in clinical and MRI outcomes vs. subcutaneous interferon beta-1a over 2 years in patients with active relapsing-remitting MS (RRMS) who were either treatment-naive (CARE-MS I; NCT00530348) or had an inadequate response to prior therapy (CARE-MS II; NCT00548405). Efficacy with alemtuzumab was maintained over 7 years in subsequent extension studies (NCT00930553; NCT02255656), in the absence of continuous treatment and with a consistent safety profile. There is an increased incidence of autoimmune events in patients treated with alemtuzumab (mainly thyroid events, but also immune thrombocytopenia and nephropathy), which imparts a need for mandatory safety monitoring for 4 years following the last treatment. The risk management strategy for alemtuzumab-treated patients includes laboratory monitoring and a comprehensive patient education and support program that enables early detection and effective management of autoimmune events, yielding optimal outcomes for MS patients. Here we provide an overview of tools and techniques that have been implemented in real-world clinical settings to reduce the burden of monitoring for both patients and healthcare providers, including customized educational materials, the use of social media, and interactive online databases for managing healthcare data. Many practices are also enhancing patient outreach efforts through coordination with specialized nursing services and ancillary caregivers. The best practice recommendations for safety monitoring described in this article, based on experiences in real-world clinical settings, may enable early detection and management of autoimmune events, and help with implementation of monitoring requirements while maximizing the benefits of alemtuzumab treatment for MS patients.
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Affiliation(s)
| | | | | | - Ann D. Bass
- Neurology Center of San Antonio, San Antonio, TX, United States
| | | | | | - Aaron Boster
- OhioHealth Neurological Physicians, Columbus, OH, United States
| | - Elisabeth G. Celius
- Oslo University Hospital Ullevål and Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jérôme de Seze
- Clinical Research Center (CIC), INSERM 1434, Strasbourg University, Strasbourg, France
| | | | - Mario Habek
- University of Zagreb, School of Medicine and University Medical Center, Zagreb, Croatia
| | - Jong-Mi Lee
- Stanford Healthcare, Palo Alto, CA, United States
| | - Volker Limmroth
- Klinik für Neurologie und Palliativmedizin, Cologne, Germany
| | - Sven G. Meuth
- Clinic of Neurology with Institute of Translational Neurology, University Hospital Müenster, Müenster, Germany
| | - Celia Oreja-Guevara
- El Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Hospital Clínico San Carlos, Madrid, Spain
| | | | - Cindy Vos
- Revalidatie & MS Centrum, Overpelt, Belgium
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, University Clinic Carl Gustav Carus, Dresden, Germany
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27
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Bergsland N, Ramasamy D, Tavazzi E, Hojnacki D, Weinstock-Guttman B, Zivadinov R. Leptomeningeal Contrast Enhancement Is Related to Focal Cortical Thinning in Relapsing-Remitting Multiple Sclerosis: A Cross-Sectional MRI Study. AJNR Am J Neuroradiol 2019; 40:620-625. [PMID: 30872420 DOI: 10.3174/ajnr.a6011] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Accepted: 02/16/2019] [Indexed: 12/21/2022]
Abstract
BACKGROUND AND PURPOSE Leptomeningeal inflammation is associated with the development of global cortical gray matter atrophy in multiple sclerosis. However, its association with localized loss of tissue remains unclear. The purpose of this study was to evaluate the relationship between leptomeningeal contrast enhancement, a putative marker of leptomeningeal inflammation, and focal cortical thinning in MS. MATERIALS AND METHODS Forty-three patients with relapsing-remitting MS and 15 with secondary-progressive MS were imaged on a 3T scanner. Cortical reconstruction was performed with FreeSurfer. Leptomeningeal contrast-enhancement foci were visually identified on 3D-FLAIR postcontrast images and confirmed using subtraction imaging. Leptomeningeal contrast-enhancement foci were mapped onto the cortex, and ROIs were obtained by dilating along the surface multiple times (n = 5, 10, 15, 20, 25, 30, 35, 40). Resulting ROIs were then mapped onto the homologous region of the contralateral hemisphere. Paired t tests compared the thickness of the cortex surrounding individual leptomeningeal contrast-enhancement foci and the corresponding contralateral region. Results were corrected for the false discovery rate. RESULTS Differences between ipsilateral and contralateral ROIs progressively decreased with larger ROIs, but no significant effects were detected when considering the entire MS sample. In patients with relapsing-remitting MS only, significantly reduced cortical thickness was found for 5 dilations (-8.53%, corrected P = .04) and 10 dilations (-5.20%, corrected P = .044). CONCLUSIONS Focal leptomeningeal contrast enhancement is associated with reduced thickness of the surrounding cortex in patients with relapsing-remitting MS, but not in those with secondary-progressive MS. Our results suggest that pathology associated with the presence of leptomeningeal contrast-enhancement foci has a stronger, localized effect on cortical tissue loss earlier in the disease.
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Affiliation(s)
- N Bergsland
- From the Buffalo Neuroimaging Analysis Center (N.B., D.R., E.T., R.Z.)
| | - D Ramasamy
- From the Buffalo Neuroimaging Analysis Center (N.B., D.R., E.T., R.Z.)
| | - E Tavazzi
- From the Buffalo Neuroimaging Analysis Center (N.B., D.R., E.T., R.Z.)
| | - D Hojnacki
- Jacobs Comprehensive MS Treatment and Research Center (D.H., B.W.-G.), Department of Neurology
| | - B Weinstock-Guttman
- Jacobs Comprehensive MS Treatment and Research Center (D.H., B.W.-G.), Department of Neurology
| | - R Zivadinov
- From the Buffalo Neuroimaging Analysis Center (N.B., D.R., E.T., R.Z.).,Jacobs School of Medicine and Biomedical Sciences, Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York, Buffalo, New York
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28
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Amato MP, Prestipino E, Bellinvia A. Identifying risk factors for cognitive issues in multiple sclerosis. Expert Rev Neurother 2019; 19:333-347. [PMID: 30829076 DOI: 10.1080/14737175.2019.1590199] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
INTRODUCTION Cognitive impairment (CI) in Multiple Sclerosis (MS) has progressively regained clinical and research interest and is currently recognized as a debilitating and burdensome problem for these patients. Studying risk and protecting factors that may influence the development and course of CI is currently an area of increasing interest, due to the potential for preventive strategies. Areas covered: In this narrative review the authors briefly addressed the physiopathologic basis, assessment and management of CI in MS and then focused on identifying modifiable and not modifiable risk factors for CI in MS, providing an overview of the current knowledge in the field and indicating avenues for future research. Expert opinion: Improving our understanding of potentially modifiable environmental and lifestyle risk factors or protective factors for CI is important in order to prompt preventive strategies and orient patient counselling and clinical management. To this aim, we need to enhance the current level of evidence linking lifestyle factors to cognition and evaluate some factors that were only preliminary addressed in research. Moreover, we need to explore the role of each factor into the subject cognitive outcome, next to the possible interactions between different environmental factors as well as between environmental and genetic factors.
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Affiliation(s)
- Maria Pia Amato
- a NEUROFARBA Department, Neuroscience section , University of Florence , Florence , Italy.,b IRCSS Fondazione Don Carlo Gnocchi , Florence , Italy
| | - Elio Prestipino
- a NEUROFARBA Department, Neuroscience section , University of Florence , Florence , Italy
| | - Angelo Bellinvia
- a NEUROFARBA Department, Neuroscience section , University of Florence , Florence , Italy
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Gupta S, Fellows K, Weinstock-Guttman B, Hagemeier J, Zivadinov R, Ramanathan M. Marijuana Use by Patients with Multiple Sclerosis. Int J MS Care 2019; 21:57-62. [PMID: 31049035 DOI: 10.7224/1537-2073.2017-112] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background With social attitudes about marijuana changing and patients sometimes seeking nonmainstream treatment options, the main goal of this study was to investigate the prevalence of, and factors associated with, marijuana use by patients with multiple sclerosis (MS). Methods Adult patients with MS (n = 521) and controls (n = 279) from a study of clinical, neuroimaging, genetic, and environmental factors in MS progression were included. Patients with MS stated whether they had ever used marijuana before MS diagnosis, after MS diagnosis, and in the preceding 3 months as part of an in-person questionnaire. The control group stated whether they had ever used marijuana and in the preceding 3 months. Results The percentage of patients with MS reporting ever use of marijuana was 39.9%, compared with 32.7% of controls. Marijuana use in the preceding 3 months was significantly more prevalent among patients with MS (9.4%) compared with controls (0.4%) (P < .001). Marijuana use was most prevalent in male patients with MS (P = .004) and in patients with MS who used complementary and alternative medicine (P = .045). Cigarette smoking was associated with marijuana use in patients with MS (P < .001) and controls (P = .001). Increasing age was associated with decreasing prevalence of marijuana use in the patients with MS (P < 0.001). Conclusions Patients with MS are more likely to report recent marijuana use than are people without MS. Owing to potential adverse effects, marijuana use by patients with MS may warrant vigilance by MS caregivers, given shifting social attitudes and the trend towards legalization of marijuana in the United States.
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Jakimovski D, Weinstock-Guttman B, Gandhi S, Guan Y, Hagemeier J, Ramasamy DP, Fuchs TA, Browne RW, Bergsland N, Dwyer MG, Ramanathan M, Zivadinov R. Dietary and lifestyle factors in multiple sclerosis progression: results from a 5-year longitudinal MRI study. J Neurol 2019; 266:866-875. [PMID: 30758665 DOI: 10.1007/s00415-019-09208-0] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 01/14/2019] [Accepted: 01/19/2019] [Indexed: 01/08/2023]
Abstract
BACKGROUND Evidence regarding the role, if any, of dietary and lifestyle factors in the pathogenesis of multiple sclerosis (MS) is poorly understood. OBJECTIVE To assess the effect of lifestyle-based risk factors linked to cardiovascular disease (CVD) on clinical and MRI-derived MS outcomes. METHODS The study enrolled 175 MS or clinically isolated syndrome (CIS) patients and 42 age- and sex-matched healthy controls (HCs) who were longitudinally followed for 5.5 years. The 20-year CVD risk was calculated by Healthy Heart Score (HHS) prediction model which includes age, smoking, body mass index, dietary intake, exercise, and alcohol consumption. Baseline and follow-up MRI scans were obtained and cross-sectional and longitudinal changes of T2-lesion volume (LV), whole brain volume (WBV), white matter volume (WMV), gray matter volume (GMV), and lateral ventricular volume (LVV) were calculated. RESULTS After correcting for disease duration, the baseline HHS values of the MS group were associated with baseline GMV (rs = - 0.20, p = 0.01), and longitudinal LVV change (rs = 0.19, p = 0.01). The association with LVV remained significant after adjusting for baseline LVV volumes (rs = 0.2, p = 0.008) in MS patients. The diet component of the HHS was associated with the 5-year T2-LV accrual (rs = - 0.191, p = 0.04) in MS. In the HC group, the HHS was associated with LVV (rs = 0.58, p < 0.001), GMV (rs = - 0.57, p < 0.001), WBV (rs = - 0.55, p = 0.001), T2-LV (rs = 0.41, p = 0.027), and WMV (rs = - 0.38, p = 0.042). Additionally, the HC HHS was associated with the 5-year change in LVV (rs = 0.54, p = 0.001) and in WBV (rs = - 0.45, p = 0.011). CONCLUSION Lifestyle risk factors contribute to accelerated central brain atrophy in MS patients, whereas unhealthier diet is associated with MS lesion accrual. Despite the lower overall effect when compared to HCs, lifestyle-based modifications may still provide a beneficial effect on reducing brain atrophy in MS patients.
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Affiliation(s)
- Dejan Jakimovski
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Sirin Gandhi
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Yi Guan
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Jesper Hagemeier
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Deepa P Ramasamy
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Tom A Fuchs
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Richard W Browne
- Department of Biotechnical and Clinical Laboratory Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
| | - Michael G Dwyer
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA
- Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 142013, USA.
- Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA.
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Jakimovski D, Benedict RH, Marr K, Gandhi S, Bergsland N, Weinstock-Guttman B, Zivadinov R. Lower total cerebral arterial flow contributes to cognitive performance in multiple sclerosis patients. Mult Scler 2019; 26:201-209. [PMID: 30625030 DOI: 10.1177/1352458518819608] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND The cognitive performance in multiple sclerosis (MS) patients declines with aging, longer disease duration, and possibly cardiovascular comorbidities. OBJECTIVES We investigated whether lower total cerebral arterial blood flow (CABF) measured at the level of the carotid and vertebral arteries may contribute to worse cognitive performance in 132 MS patients and 47 healthy controls. METHODS Total CABF was evaluated with extracranial Doppler, whereas structural T2-lesion volume (LV) and gray matter volume (GMV) were measured on 3T MRI. The cognitive performance was assessed by Symbol Digit Modalities Test (SDMT), Brief Visuospatial Memory Test-Revised (BVMT-R), and California Verbal Learning Test-Second Edition (CVLT-II). Analysis of covariance, partial correlation, and regression models were used to test the differences between study groups and cognition/CABF correlations. False discovery rate (FDR)-corrected (Benjamini-Hochberg) p-values (i.e. q-values) less than 0.05 were considered significant. RESULTS Association between lower total CABF and the lower cognitive performance was observed only in MS patients (r = 0.318, q < 0.001 and r = 0.244, q = 0.012 for SDMT and BVMT-R, respectively). Lower GMV, higher T2-LV, and CABF were significantly associated with poorer performance on the processing speed measure of SDMT (adjusted R2 = 0.295, t-statistics = 2.538, standardized β = 0.203, and q = 0.020), but not with memory tests. Cognitively impaired MS patients had lower total CABF compared to cognitively preserved (884.5 vs 1020.2 mL/min, q = 0.008). CONCLUSION Cognitively impaired MS patients presented with lower total CABF. Altered CABF may be a result of reduced metabolic rate and might contribute to abnormal cognitive aging in MS.
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Affiliation(s)
- Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Ralph Hb Benedict
- Jacobs Multiple Sclerosis Center for Treatment and Research, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Karen Marr
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Sirin Gandhi
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The 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, The State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center for Treatment and Research, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA/Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, USA
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Mowry EM, Azevedo CJ, McCulloch CE, Okuda DT, Lincoln RR, Waubant E, Hauser SL, Pelletier D. Body mass index, but not vitamin D status, is associated with brain volume change in MS. Neurology 2018; 91:e2256-e2264. [PMID: 30429274 PMCID: PMC6329329 DOI: 10.1212/wnl.0000000000006644] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2018] [Accepted: 08/27/2018] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVE To determine whether body mass index (BMI) or vitamin D status is associated with MRI measures of neurodegeneration in a cohort of individuals with relapsing-remitting multiple sclerosis (RRMS) or clinically isolated syndrome (CIS). METHODS Expression, Proteomics, Imaging, Clinical (EPIC) is a longitudinal multiple sclerosis (MS) cohort study at the University of California, San Francisco. Participants had clinical evaluations, brain MRI, and blood draws annually. We evaluated patients with CIS or RRMS at baseline. In multivariate repeated-measures analyses adjusted for age, sex, ethnicity, smoking status, and use of MS treatments, annual 25-hydroxyvitamin D levels and BMI were evaluated for their association with subsequent brain volumes (normalized gray matter [nGMV], brain parenchymal [nBPV], and white matter volumes, as determined by Structural Image Evaluation using Normalization of Atrophy-X). RESULTS Among 469 participants, each 1-kg/m2 higher BMI was independently associated with reduced nGMV in multivariate models (-1.1 mL, 95% confidence interval [CI] -1.8 to -0.5, p = 0.001). BMI was likewise independently associated with nBPV (nBPV per 1-kg/m2 greater BMI: -1.1 mL, 95% CI -2.1 to -0.05, p = 0.039). Vitamin D levels did not appear to be meaningfully associated with brain volumes. CONCLUSIONS Higher BMI appears to be associated with greater reductions in nGMV and nBPV, which is relevant because, in particular, nGMV loss portends greater longer-term disability. Because obesity is modifiable, further studies should explore these relationships in detail, and evaluating the effect of reducing BMI on imaging and clinical outcomes in MS may be warranted.
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Affiliation(s)
- Ellen M Mowry
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas.
| | - Christina J Azevedo
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
| | - Charles E McCulloch
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
| | - Darin T Okuda
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
| | - Robin R Lincoln
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
| | - Emmanuelle Waubant
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
| | - Stephen L Hauser
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
| | - Daniel Pelletier
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
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Hobart J, Bowen A, Pepper G, Crofts H, Eberhard L, Berger T, Boyko A, Boz C, Butzkueven H, Celius EG, Drulovic J, Flores J, Horáková D, Lebrun-Frénay C, Marrie RA, Overell J, Piehl F, Rasmussen PV, Sá MJ, Sîrbu CA, Skromne E, Torkildsen Ø, van Pesch V, Vollmer T, Zakaria M, Ziemssen T, Giovannoni G. International consensus on quality standards for brain health-focused care in multiple sclerosis. Mult Scler 2018; 25:1809-1818. [PMID: 30381987 PMCID: PMC6826858 DOI: 10.1177/1352458518809326] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Time matters in multiple sclerosis (MS). Irreversible neural damage and cell loss occur from disease onset. The MS community has endorsed a management strategy of prompt diagnosis, timely intervention and regular proactive monitoring of treatment effectiveness and disease activity to improve outcomes in people with MS. Objectives: We sought to develop internationally applicable quality standards for timely, brain health–focused MS care. Methods: A panel of MS specialist neurologists participated in an iterative, online, modified Delphi process to define ‘core’, ‘achievable’ and ‘aspirational’ time frames reflecting minimum, good and high care standards, respectively. A multidisciplinary Reviewing Group (MS nurses, people with MS, allied healthcare professionals) provided insights ensuring recommendations reflected perspectives from multiple stakeholders. Results: Twenty-one MS neurologists from 19 countries reached consensus on most core (25/27), achievable (25/27) and aspirational (22/27) time frames at the end of five rounds. Agreed standards cover six aspects of the care pathway: symptom onset, referral and diagnosis, treatment decisions, lifestyle, disease monitoring and managing new symptoms. Conclusion: These quality standards for core, achievable and aspirational care provide MS teams with a three-level framework for service evaluation, benchmarking and improvement. They have the potential to produce a profound change in the care of people with MS.
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Affiliation(s)
- Jeremy Hobart
- Plymouth University Peninsula Schools of Medicine and Dentistry, University of Plymouth, Plymouth, UK
| | - Amy Bowen
- NHS RightCare, NHS England, London, UK
| | | | | | | | - Thomas Berger
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Alexey Boyko
- Department of Neurology, Neurosurgery and Medical Genetics, Pirogov Russian National Research Medical University, Moscow, Russia/Demyelinating Diseases Center, Yusupov Hospital, Moscow, Russia
| | - Cavit Boz
- Department of Neurology, Karadeniz Technical University, Trabzon, Turkey
| | - Helmut Butzkueven
- MS and Neuroimmunology Unit, Alfred Health and Eastern Health, Monash University, Melbourne, VIC, Australia
| | | | - Jelena Drulovic
- Department for Immune-Mediated Disorders of the Central Nervous System, Clinic of Neurology, Faculty of Medicine, University of Belgrade, Belgrade, Serbia
| | - José Flores
- National Institute of Neurology and Neurosurgery, ABC Medical Center, Mexico City, Mexico
| | - Dana Horáková
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | | | - Ruth Ann Marrie
- Departments of Internal Medicine and Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada
| | - James Overell
- Glasgow MS Clinical Research Centre, Queen Elizabeth University Hospital, Glasgow, UK
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | | | - Maria José Sá
- MS Clinic, Department of Neurology, Centro Hospitalar São João, Faculty of Health Sciences, University Fernando Pessoa, Porto, Portugal
| | - Carmen-Adella Sîrbu
- Clinic of Neurology, Central Military Emergency University Hospital, Bucharest, Romania
| | - Eli Skromne
- Instituto Mexicano de Neurociencias, Hospital Angeles Lomas, Mexico City, Mexico
| | - Øivind Torkildsen
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Vincent van Pesch
- Cliniques Universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium
| | - Timothy Vollmer
- Department of Neurology, University of Colorado, Denver, CO, USA
| | - Magd Zakaria
- Department of Neurology, Ain Shams University, Cairo, Egypt
| | - Tjalf Ziemssen
- Department of Neurology, MS Center Dresden, Center of Clinical Neuroscience, University Hospital Carl Gustav Carus, Dresden University of Technology, Dresden, Germany
| | - Gavin Giovannoni
- Queen Mary University of London, Blizard Institute, Barts and The London School of Medicine and Dentistry, London, UK
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Marchetti G, Ziliotto N, Meneghetti S, Baroni M, Lunghi B, Menegatti E, Pedriali M, Salvi F, Bartolomei I, Straudi S, Manfredini F, Voltan R, Basaglia N, Mascoli F, Zamboni P, Bernardi F. Changes in expression profiles of internal jugular vein wall and plasma protein levels in multiple sclerosis. Mol Med 2018; 24:42. [PMID: 30134823 PMCID: PMC6085618 DOI: 10.1186/s10020-018-0043-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2018] [Accepted: 07/24/2018] [Indexed: 02/06/2023] Open
Abstract
Background Multiple sclerosis (MS) is an inflammatory, demyelinating and degenerative disorder of the central nervous system (CNS). Several observations support interactions between vascular and neurodegenerative mechanisms in multiple sclerosis (MS). To investigate the contribution of the extracranial venous compartment, we analysed expression profiles of internal jugular vein (IJV), which drains blood from CNS, and related plasma protein levels. Methods We studied a group of MS patients (n = 19), screened by echo-color Doppler and magnetic resonance venography, who underwent surgical reconstruction of IJV for chronic cerebrospinal venous insufficiency (CCSVI). Microarray-based transcriptome analysis was conducted on specimens of IJV wall from MS patients and from subjects undergoing carotid endarterectomy, as controls. Protein levels were determined by multiplex assay in: i) jugular and peripheral plasma from 17 MS/CCSVI patients; ii) peripheral plasma from 60 progressive MS patients, after repeated sampling and iii) healthy individuals. Results Of the differentially expressed genes (≥ 2 fold-change, multiple testing correction, P < 0.05), the immune-related CD86 (8.5 fold-change, P = 0.002) emerged among the up regulated genes (N = 409). Several genes encoding HOX transcription factors and histones potentially regulated by blood flow, were overexpressed. Smooth muscle contraction and cell adhesion processes emerged among down regulated genes (N = 515), including the neuronal cell adhesion L1CAM as top scorer (5 fold-change, P = 5 × 10− 4). Repeated measurements in jugular/peripheral plasma and overtime in peripheral plasma showed conserved individual plasma patterns for immune-inflammatory (CCL13, CCL18) and adhesion (NCAM1, VAP1, SELL) proteins, despite significant variations overtime (SELL P < 0.0001). Both age and MS disease phenotypes were determinants of VAP1 plasma levels. Data supported cerebral related-mechanisms regulating ANGPT1 levels, which were remarkably lower in jugular plasma and correlated in repeated assays but not between jugular/peripheral compartments. Conclusions This study provides for the first time expression patterns of the IJV wall, suggesting signatures of altered vascular mRNA profiles in MS disease also independently from CCSVI. The combined transcriptome-protein analysis provides intriguing links between IJV wall transcript alteration and plasma protein expression, thus highlighting proteins of interest for MS pathophysiology. Electronic supplementary material The online version of this article (10.1186/s10020-018-0043-4) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Giovanna Marchetti
- Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, via Fossato di Mortara n 74, 44121, Ferrara, Italy.
| | - Nicole Ziliotto
- Department of Life Science and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Silvia Meneghetti
- Department of Life Science and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Marcello Baroni
- Department of Life Science and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Barbara Lunghi
- Department of Life Science and Biotechnology, University of Ferrara, Ferrara, Italy
| | - Erica Menegatti
- Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy
| | - Massimo Pedriali
- Department of Experimental and Diagnostic Medicine, Sant'Anna University- Hospital, Ferrara, Italy
| | - Fabrizio Salvi
- Center for Immunological and Rare Neurological Diseases, Bellaria Hospital, IRCCS of Neurological Sciences, Bologna, Italy
| | - Ilaria Bartolomei
- Center for Immunological and Rare Neurological Diseases, Bellaria Hospital, IRCCS of Neurological Sciences, Bologna, Italy
| | - Sofia Straudi
- Department of Neurosciences and Rehabilitation, Sant'Anna University- Hospital, Ferrara, Italy
| | - Fabio Manfredini
- Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, via Fossato di Mortara n 74, 44121, Ferrara, Italy
| | - Rebecca Voltan
- Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy
| | - Nino Basaglia
- Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, via Fossato di Mortara n 74, 44121, Ferrara, Italy
| | - Francesco Mascoli
- Unit of Vascular and Endovascular Surgery, S. Anna University-Hospital, Ferrara, Italy
| | - Paolo Zamboni
- Department of Morphology, Surgery and Experimental Medicine, University of Ferrara, Ferrara, Italy
| | - Francesco Bernardi
- Department of Life Science and Biotechnology, University of Ferrara, Ferrara, Italy
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Pelizzari L, Jakimovski D, Laganà MM, Bergsland N, Hagemeier J, Baselli G, Weinstock-Guttman B, Zivadinov R. Five-Year Longitudinal Study of Neck Vessel Cross-Sectional Area in Multiple Sclerosis. AJNR Am J Neuroradiol 2018; 39:1703-1709. [PMID: 30049718 DOI: 10.3174/ajnr.a5738] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 06/06/2018] [Indexed: 12/26/2022]
Abstract
BACKGROUND AND PURPOSE Alterations of neck vessel cross-sectional area in multiple sclerosis have been reported. Our aim was to investigate the evolution of the neck vessel cross-sectional area in patients with MS and healthy controls during 5 years. MATERIALS AND METHODS Sixty-nine patients with MS (44 relapsing-remitting MS, 25 progressive MS) and 22 age- and sex-matched healthy controls were examined twice, 5 years apart, on a 3T MR imaging scanner using 2D neck MR angiography. Cross-sectional areas were computed for the common carotid/internal carotid arteries, vertebral arteries, and internal jugular veins for all slices between the C3 and C7 cervical levels. Longitudinal cross-sectional area differences at each cervical level and the whole-vessel course were tested within study groups and between patients with MS with and without cardiovascular disease using mixed-model analysis and the related-samples Wilcoxon singed rank test. The Benjamini-Hochberg procedure was performed to correct for multiple comparisons. RESULTS No significant cross-sectional area differences were seen between patients with MS and healthy controls at baseline or at follow-up. During the follow-up, significant cross-sectional area decrease was found in patients with MS for the common carotid artery-ICAs (C4: P = .048; C7: P = .005; whole vessel: P = .012), for vertebral arteries (C3: P = .028; C4: P = .028; C7: P = .028; whole vessel: P = .012), and for the internal jugular veins (C3: P = .014; C4: P = .008; C5: P = .010; C6: P = .010; C7: P = .008; whole vessel: P = .002). Patients with MS without cardiovascular disease had significantly greater change than patients with MS with cardiovascular disease for internal jugular veins at all levels. CONCLUSIONS For 5 years, patients with MS showed significant cross-sectional area decrease of all major neck vessels, regardless of the disease course and cardiovascular status.
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Affiliation(s)
- L Pelizzari
- From the Department of Electronics Information and Bioengineering (L.P., G.B.), Politecnico di Milano, Milan, Italy.,Istituto di Ricovero e Cura a Carattere Scientifico (L.P., M.M.L.), Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - D Jakimovski
- Buffalo Neuroimaging Analysis Center (D.J., N.B., J.H., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences
| | - M M Laganà
- Istituto di Ricovero e Cura a Carattere Scientifico (L.P., M.M.L.), Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - N Bergsland
- Buffalo Neuroimaging Analysis Center (D.J., N.B., J.H., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences
| | - J Hagemeier
- Buffalo Neuroimaging Analysis Center (D.J., N.B., J.H., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences
| | - G Baselli
- From the Department of Electronics Information and Bioengineering (L.P., G.B.), Politecnico di Milano, Milan, Italy
| | - B Weinstock-Guttman
- Jacobs Multiple Sclerosis Center (B.W.-G.), Department of Neurology, School of Medicine and Biomedical Sciences
| | - R Zivadinov
- Buffalo Neuroimaging Analysis Center (D.J., N.B., J.H., R.Z.), Department of Neurology, Jacobs School of Medicine and Biomedical Sciences .,Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York, Buffalo, New York
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Fuchs TA, Carolus K, Benedict RHB, Bergsland N, Ramasamy D, Jakimovski D, Weinstock-Guttman B, Kuceyeski A, Zivadinov R, Dwyer MG. Impact of Focal White Matter Damage on Localized Subcortical Gray Matter Atrophy in Multiple Sclerosis: A 5-Year Study. AJNR Am J Neuroradiol 2018; 39:1480-1486. [PMID: 29976833 DOI: 10.3174/ajnr.a5720] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 05/18/2018] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE It is unclear to what extent subcortical gray matter atrophy is a primary process as opposed to a result of focal white matter damage. Correlations between WM damage and atrophy of subcortical gray matter have been observed but may be partly attributable to indirect relationships between co-occurring processes arising from a common cause. Our aim was to cross-sectionally and longitudinally characterize the unique impact of focal WM damage on the atrophy of connected subcortical gray matter regions, beyond what is explainable by global disease progression. MATERIALS AND METHODS One hundred seventy-six individuals with MS and 47 healthy controls underwent MR imaging at baseline and 5 years later. Atrophy and lesion-based disruption of connected WM tracts were evaluated for 14 subcortical gray matter regions. Hierarchic regressions were applied, predicting regional atrophy from focal WM disruption, controlling for age, sex, disease duration, whole-brain volume, and T2-lesion volume. RESULTS When we controlled for whole-brain volume and T2-lesion volume, WM tract disruption explained little additional variance of subcortical gray matter atrophy and was a significant predictor for only 3 of 14 regions cross-sectionally (ΔR2 = 0.004) and 5 regions longitudinally (ΔR2 = 0.016). WM tract disruption was a significant predictor for even fewer regions when correcting for multiple comparisons. CONCLUSIONS WM tract disruption accounts for a small percentage of atrophy in connected subcortical gray matter when controlling for overall disease burden and is not the primary driver in most cases.
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Affiliation(s)
- T A Fuchs
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center.,Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - K Carolus
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center
| | - R H B Benedict
- Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - N Bergsland
- Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - D Ramasamy
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center.,Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - D Jakimovski
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center.,Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - B Weinstock-Guttman
- Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - A Kuceyeski
- Department of Radiology (A.K.), Weill Cornell Medicine, Feil Family Brain and Mind Research Institute, New York, New York
| | - R Zivadinov
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center.,MR Imaging Clinical Translational Research Center (R.Z.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - M G Dwyer
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center .,Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
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37
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Dossi DE, Chaves H, Heck ES, Rodriguez Murúa S, Ventrice F, Bakshi R, Quintana FJ, Correale J, Farez MF. Effects of Systolic Blood Pressure on Brain Integrity in Multiple Sclerosis. Front Neurol 2018; 9:487. [PMID: 29988562 PMCID: PMC6026666 DOI: 10.3389/fneur.2018.00487] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2018] [Accepted: 06/05/2018] [Indexed: 12/14/2022] Open
Abstract
Background: In MS patients, hypertension is associated with a delayed diagnosis and an increased risk of progression. Understanding the mechanisms of this association could potentially lead to improved prevention of disease progression. We aimed to establish whether high blood pressure contributes to white-matter injury and brain atrophy in MS. Methods: Cross-sectional study of 95 patients with RRMS. Estimates of fractional anisotropy, gray-matter volume and lesion load were obtained from 3T MRI. We used fractional anisotropy voxel-based statistics to establish the effect of blood pressure on white matter tracts. Additionally, we used voxel-based morphometry (VBM) to study the effect on gray matter integrity. Results: Only 29.5% had normal blood pressure levels, with 52.6% suffering from prehypertension and 17.9% with hypertension. Increasing systolic blood pressure was associated with damage to posterior white-matter tracts as well as greater levels of gray matter atrophy, in particular in the frontal cortex. Age-adjusted linear regression indicated that neither lesion volume (β = 0.002, 95%CI: 0.02–0.02; p = 0.85) or lesion number (β = −0.004, 95%CI: 0.03–0.02; p = 0.74) were associated with systolic blood pressure. Conclusions: Prehypertension and hypertension are frequent in MS. Increased blood pressure is related to white- and gray-matter integrity, both related to MS disability outcomes. These findings suggest attention to the control of blood pressure in MS patients.
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Affiliation(s)
- Daiana E Dossi
- Department of Neurology, Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina
| | - Hernán Chaves
- Department of Diagnostic Imaging, Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina
| | - Evelyn S Heck
- Center for Research on Neuroimmunological Diseases (CIEN), Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina
| | - Sofía Rodriguez Murúa
- Center for Research on Neuroimmunological Diseases (CIEN), Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina
| | - Fernando Ventrice
- Department of Diagnostic Imaging, Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina
| | - Rohit Bakshi
- Department of Neurology, Partners Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.,Laboratory for Neuroimaging Research, Departments of Neurology and Radiology, Brigham and Women's Hospital, Boston, MA, United States.,Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - Francisco J Quintana
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.,The Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Jorge Correale
- Department of Neurology, Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina.,Center for Research on Neuroimmunological Diseases (CIEN), Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina
| | - Mauricio F Farez
- Center for Research on Neuroimmunological Diseases (CIEN), Raúl Carrea Institute for Neurological Research (FLENI), Buenos Aires, Argentina
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Moccia M, Albero R, Lanzillo R, Saccà F, De Rosa A, Russo CV, Carotenuto A, Palladino R, Brescia Morra V. Cardiovascular profile improvement during Natalizumab treatment. Metab Brain Dis 2018; 33:981-986. [PMID: 29256149 DOI: 10.1007/s11011-017-0169-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Accepted: 12/11/2017] [Indexed: 01/04/2023]
Abstract
Cardiovascular comorbidities are associated with the risk of MS progression. Thus, we aim to measure variations of cardiovascular risk factors during Natalizumab treatment and their possible clinical associations. Seventy-one relapsing-remitting MS patients treated with Natalizumab were followed-up during a 12.9 ± 6.2 months. Cardiovascular risk factors were recorded on first and last study visits: systolic blood pressure, uric acid, total cholesterol, LDL, HDL, and triglycerides. EDSS progression and relapse occurrence were recorded. At multilevel mixed-effects linear regression models, the population presented with a significant reduction of total cholesterol (Coeff = -7.340; 95%CI = -13.152--1.527; p = 0.013), and of HDL cholesterol (Coeff = -3.473; 95%CI = -6.333--0.613; p = 0.017), and a non-significant reduction of LDL cholesterol (Coeff = -1.872; 95%CI = -8.481-0.736; p = 0.053), and of triglycerides (Coeff = -8.815; 95%CI = -34.011-5.380; p = 0.094). Uric acid levels increased during the study period (Coeff = 0.159; 95%CI = 0.212-0.340; p = 0.038). No significant associations were found with clinical outcomes. Serum lipids decreased and anti-oxidant uric acid increased during Natalizumab treatment. These biomarkers need to be further explored in relation to clinical outcomes on larger cohorts with longer follow-ups.
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Affiliation(s)
- Marcello Moccia
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University, Via Sergio Pansini, 5 - Building 17, Ground floor, Naples, Italy.
| | - Roberto Albero
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University, Via Sergio Pansini, 5 - Building 17, Ground floor, Naples, Italy
| | - Roberta Lanzillo
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University, Via Sergio Pansini, 5 - Building 17, Ground floor, Naples, Italy
| | - Francesco Saccà
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University, Via Sergio Pansini, 5 - Building 17, Ground floor, Naples, Italy
| | - Anna De Rosa
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University, Via Sergio Pansini, 5 - Building 17, Ground floor, Naples, Italy
| | - Cinzia Valeria Russo
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University, Via Sergio Pansini, 5 - Building 17, Ground floor, Naples, Italy
| | - Antonio Carotenuto
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University, Via Sergio Pansini, 5 - Building 17, Ground floor, Naples, Italy
| | - Raffaele Palladino
- Department of Primary Care and Public Health, Imperial College, London, UK
- Department of Public Health, Federico II University, Naples, Italy
| | - Vincenzo Brescia Morra
- Multiple Sclerosis Clinical Care and Research Centre, Department of Neuroscience, Reproductive Science and Odontostomatology, Federico II University, Via Sergio Pansini, 5 - Building 17, Ground floor, Naples, Italy
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39
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Fuchs TA, Dwyer MG, Kuceyeski A, Choudhery S, Carolus K, Li X, Mallory M, Weinstock-Guttman B, Jakimovski D, Ramasamy D, Zivadinov R, Benedict RHB. White matter tract network disruption explains reduced conscientiousness in multiple sclerosis. Hum Brain Mapp 2018; 39:3682-3690. [PMID: 29740964 DOI: 10.1002/hbm.24203] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2017] [Revised: 04/11/2018] [Accepted: 04/23/2018] [Indexed: 12/22/2022] Open
Abstract
Quantifying white matter (WM) tract disruption in people with multiple sclerosis (PwMS) provides a novel means for investigating the relationship between defective network connectivity and clinical markers. PwMS exhibit perturbations in personality, where decreased Conscientiousness is particularly prominent. This trait deficit influences disease trajectory and functional outcomes such as work capacity. We aimed to identify patterns of WM tract disruption related to decreased Conscientiousness in PwMS. Personality assessment and brain MRI were obtained in 133 PwMS and 49 age- and sex-matched healthy controls (HC). Lesion maps were applied to determine the severity of WM tract disruption between pairs of gray matter regions. Next, the Network-Based-Statistics tool was applied to identify structural networks whose disruption negatively correlates with Conscientiousness. Finally, to determine whether these networks explain unique variance above conventional MRI measures and cognition, regression models were applied controlling for age, sex, brain volume, T2-lesion volume, and cognition. Relative to HCs, PwMS exhibited lower Conscientiousness and slowed cognitive processing speed (p = .025, p = .006). Lower Conscientiousness in PwMS was significantly associated with WM tract disruption between frontal, frontal-parietal, and frontal-cingulate pathways in the left (p = .02) and right (p = .01) hemisphere. The mean disruption of these pathways explained unique additive variance in Conscientiousness, after accounting for conventional MRI markers of pathology and cognition (ΔR2 = .049, p = .029). Damage to WM tracts between frontal, frontal-parietal, and frontal-cingulate cortical regions is significantly correlated with reduced Conscientiousness in PwMS. Tract disruption within these networks explains decreased Conscientiousness observed in PwMS as compared with HCs.
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Affiliation(s)
- Tom A Fuchs
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Michael G Dwyer
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Amy Kuceyeski
- Weill Cornell Medicine, Department of Radiology, The Feil Family Brain and Mind Research Institute, 407 East 61st St, RR-115, New York, New York
| | - Sanjeevani Choudhery
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Keith Carolus
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Xian Li
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Matthew Mallory
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Dejan Jakimovski
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Deepa Ramasamy
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Robert Zivadinov
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York.,Center for Biomedical Imaging, Clinical Translational Science Institute, University at Buffalo, State University of New York (SUNY), Buffalo, New York
| | - Ralph H B Benedict
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York (SUNY), Buffalo, New York
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40
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Kim S, Chang L, Weinstock-Guttman B, Gandhi S, Jakimovski D, Carl E, Zivadinov R, Ramanathan M. Complementary and Alternative Medicine Usage by Multiple Sclerosis Patients: Results from a Prospective Clinical Study. J Altern Complement Med 2018; 24:596-602. [PMID: 29498537 DOI: 10.1089/acm.2017.0268] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES To investigate the factors associated with complementary and alternative medicine (CAM) usage by multiple sclerosis (MS) patients. Design, Setting/Location: Single-center, prospective clinical study at an academic MS center in the northeastern United States. METHODS This study included CAM data from 524 MS patients and 304 healthy controls (HC) enrolled in a prospective study of clinical, neuroimaging, and environmental risk factors in MS at an academic MS Center. Clinical, neuroimaging, and disease-modifying treatment data were obtained. In addition, data on usage of CAM modalities, including acupuncture, aromatherapy, Ayurveda, Chinese herbal medicine, chiropractor, electromagnetic therapy, homeopathy, hypnosis, massage, naturopathy, Qi gong, Reiki, therapeutic touch, and bee stings were collected in an in-person interview. RESULTS The percentages of HC reporting usage of any CAM (32%) was similar to that in MS patients after diagnosis (30.5%). The usage of any CAM was higher in MS patients after MS diagnosis compared to before MS diagnosis (p < 0.001). The three most frequently used CAM for MS patients after MS diagnosis and HC were chiropractor, massage, and acupuncture. The most frequent reasons for CAM use were MS symptom relief, back problems, and pain. In multivariate analysis, female gender, higher education level, MS disease course, and not currently on disease-modifying therapies (DMT) treatment status were associated with CAM usage. CONCLUSIONS Gender, education level, DMT treatment status, and MS disease course are associated with CAM usage in MS patients. Ever-CAM usage patterns in MS patients are similar to those in HC.
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Affiliation(s)
- Soohyun Kim
- 1 Department of Pharmaceutical Sciences, State University of New York , Buffalo, Buffalo, New York
| | - Lawrence Chang
- 1 Department of Pharmaceutical Sciences, State University of New York , Buffalo, Buffalo, New York
| | | | - Sirin Gandhi
- 2 Department of Neurology, State University of New York , Buffalo, Buffalo, New York
| | - Dejan Jakimovski
- 2 Department of Neurology, State University of New York , Buffalo, Buffalo, New York
| | - Ellen Carl
- 2 Department of Neurology, State University of New York , Buffalo, Buffalo, New York
| | - Robert Zivadinov
- 2 Department of Neurology, State University of New York , Buffalo, Buffalo, New York
| | - Murali Ramanathan
- 1 Department of Pharmaceutical Sciences, State University of New York , Buffalo, Buffalo, New York.,2 Department of Neurology, State University of New York , Buffalo, Buffalo, New York
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Sumowski JF, Benedict R, Enzinger C, Filippi M, Geurts JJ, Hamalainen P, Hulst H, Inglese M, Leavitt VM, Rocca MA, Rosti-Otajarvi EM, Rao S. Cognition in multiple sclerosis: State of the field and priorities for the future. Neurology 2018; 90:278-288. [PMID: 29343470 PMCID: PMC5818015 DOI: 10.1212/wnl.0000000000004977] [Citation(s) in RCA: 337] [Impact Index Per Article: 56.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Accepted: 10/10/2017] [Indexed: 12/15/2022] Open
Abstract
Cognitive decline is recognized as a prevalent and debilitating symptom of multiple sclerosis (MS), especially deficits in episodic memory and processing speed. The field aims to (1) incorporate cognitive assessment into standard clinical care and clinical trials, (2) utilize state-of-the-art neuroimaging to more thoroughly understand neural bases of cognitive deficits, and (3) develop effective, evidence-based, clinically feasible interventions to prevent or treat cognitive dysfunction, which are lacking. There are obstacles to these goals. Our group of MS researchers and clinicians with varied expertise took stock of the current state of the field, and we identify several important practical and theoretical challenges, including key knowledge gaps and methodologic limitations related to (1) understanding and measurement of cognitive deficits, (2) neuroimaging of neural bases and correlates of deficits, and (3) development of effective treatments. This is not a comprehensive review of the extensive literature, but instead a statement of guidelines and priorities for the field. For instance, we provide recommendations for improving the scientific basis and methodologic rigor for cognitive rehabilitation research. Toward this end, we call for multidisciplinary collaborations toward development of biologically based theoretical models of cognition capable of empirical validation and evidence-based refinement, providing the scientific context for effective treatment discovery.
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Affiliation(s)
- James F Sumowski
- From the Department of Neurology & Corinne Goldsmith Dickinson Center for Multiple Sclerosis (J.F.S., M.I.), Icahn School of Medicine at Mount Sinai, New York; Department of Neurology (R.B.), School of Medicine and Biomedical Sciences, University of Buffalo, State University of New York (SUNY); Department of Neurology (C.E.), Medical University of Graz, Austria; Department of Neurology & Neuroimaging Research Unit, Division of Neuroscience (M.F., M.A.R.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Anatomy and Neurosciences (J.J.G., H.H.), VU University Medical Center, Amsterdam Neuroscience, VUmc MS Center Amsterdam, the Netherlands; Masku Neurological Rehabilitation Centre (P.H.), Masku, Finland; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Mother-Child Health (M.I.), University of Genoa, Italy; Department of Neurology & Columbia University Multiple Sclerosis Clinical Care and Research Center (V.M.L.), Columbia University Medical Center, New York, NY; Department of Neurology and Rehabilitation (E.M.R.-O.), Tampere University Hospital, Finland; and Schey Center for Cognitive Neuroimaging, Neurological Institute (S.R.), Cleveland Clinic, OH.
| | - Ralph Benedict
- From the Department of Neurology & Corinne Goldsmith Dickinson Center for Multiple Sclerosis (J.F.S., M.I.), Icahn School of Medicine at Mount Sinai, New York; Department of Neurology (R.B.), School of Medicine and Biomedical Sciences, University of Buffalo, State University of New York (SUNY); Department of Neurology (C.E.), Medical University of Graz, Austria; Department of Neurology & Neuroimaging Research Unit, Division of Neuroscience (M.F., M.A.R.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Anatomy and Neurosciences (J.J.G., H.H.), VU University Medical Center, Amsterdam Neuroscience, VUmc MS Center Amsterdam, the Netherlands; Masku Neurological Rehabilitation Centre (P.H.), Masku, Finland; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Mother-Child Health (M.I.), University of Genoa, Italy; Department of Neurology & Columbia University Multiple Sclerosis Clinical Care and Research Center (V.M.L.), Columbia University Medical Center, New York, NY; Department of Neurology and Rehabilitation (E.M.R.-O.), Tampere University Hospital, Finland; and Schey Center for Cognitive Neuroimaging, Neurological Institute (S.R.), Cleveland Clinic, OH
| | - Christian Enzinger
- From the Department of Neurology & Corinne Goldsmith Dickinson Center for Multiple Sclerosis (J.F.S., M.I.), Icahn School of Medicine at Mount Sinai, New York; Department of Neurology (R.B.), School of Medicine and Biomedical Sciences, University of Buffalo, State University of New York (SUNY); Department of Neurology (C.E.), Medical University of Graz, Austria; Department of Neurology & Neuroimaging Research Unit, Division of Neuroscience (M.F., M.A.R.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Anatomy and Neurosciences (J.J.G., H.H.), VU University Medical Center, Amsterdam Neuroscience, VUmc MS Center Amsterdam, the Netherlands; Masku Neurological Rehabilitation Centre (P.H.), Masku, Finland; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Mother-Child Health (M.I.), University of Genoa, Italy; Department of Neurology & Columbia University Multiple Sclerosis Clinical Care and Research Center (V.M.L.), Columbia University Medical Center, New York, NY; Department of Neurology and Rehabilitation (E.M.R.-O.), Tampere University Hospital, Finland; and Schey Center for Cognitive Neuroimaging, Neurological Institute (S.R.), Cleveland Clinic, OH
| | - Massimo Filippi
- From the Department of Neurology & Corinne Goldsmith Dickinson Center for Multiple Sclerosis (J.F.S., M.I.), Icahn School of Medicine at Mount Sinai, New York; Department of Neurology (R.B.), School of Medicine and Biomedical Sciences, University of Buffalo, State University of New York (SUNY); Department of Neurology (C.E.), Medical University of Graz, Austria; Department of Neurology & Neuroimaging Research Unit, Division of Neuroscience (M.F., M.A.R.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Anatomy and Neurosciences (J.J.G., H.H.), VU University Medical Center, Amsterdam Neuroscience, VUmc MS Center Amsterdam, the Netherlands; Masku Neurological Rehabilitation Centre (P.H.), Masku, Finland; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Mother-Child Health (M.I.), University of Genoa, Italy; Department of Neurology & Columbia University Multiple Sclerosis Clinical Care and Research Center (V.M.L.), Columbia University Medical Center, New York, NY; Department of Neurology and Rehabilitation (E.M.R.-O.), Tampere University Hospital, Finland; and Schey Center for Cognitive Neuroimaging, Neurological Institute (S.R.), Cleveland Clinic, OH
| | - Jeroen J Geurts
- From the Department of Neurology & Corinne Goldsmith Dickinson Center for Multiple Sclerosis (J.F.S., M.I.), Icahn School of Medicine at Mount Sinai, New York; Department of Neurology (R.B.), School of Medicine and Biomedical Sciences, University of Buffalo, State University of New York (SUNY); Department of Neurology (C.E.), Medical University of Graz, Austria; Department of Neurology & Neuroimaging Research Unit, Division of Neuroscience (M.F., M.A.R.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Anatomy and Neurosciences (J.J.G., H.H.), VU University Medical Center, Amsterdam Neuroscience, VUmc MS Center Amsterdam, the Netherlands; Masku Neurological Rehabilitation Centre (P.H.), Masku, Finland; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Mother-Child Health (M.I.), University of Genoa, Italy; Department of Neurology & Columbia University Multiple Sclerosis Clinical Care and Research Center (V.M.L.), Columbia University Medical Center, New York, NY; Department of Neurology and Rehabilitation (E.M.R.-O.), Tampere University Hospital, Finland; and Schey Center for Cognitive Neuroimaging, Neurological Institute (S.R.), Cleveland Clinic, OH
| | - Paivi Hamalainen
- From the Department of Neurology & Corinne Goldsmith Dickinson Center for Multiple Sclerosis (J.F.S., M.I.), Icahn School of Medicine at Mount Sinai, New York; Department of Neurology (R.B.), School of Medicine and Biomedical Sciences, University of Buffalo, State University of New York (SUNY); Department of Neurology (C.E.), Medical University of Graz, Austria; Department of Neurology & Neuroimaging Research Unit, Division of Neuroscience (M.F., M.A.R.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Anatomy and Neurosciences (J.J.G., H.H.), VU University Medical Center, Amsterdam Neuroscience, VUmc MS Center Amsterdam, the Netherlands; Masku Neurological Rehabilitation Centre (P.H.), Masku, Finland; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Mother-Child Health (M.I.), University of Genoa, Italy; Department of Neurology & Columbia University Multiple Sclerosis Clinical Care and Research Center (V.M.L.), Columbia University Medical Center, New York, NY; Department of Neurology and Rehabilitation (E.M.R.-O.), Tampere University Hospital, Finland; and Schey Center for Cognitive Neuroimaging, Neurological Institute (S.R.), Cleveland Clinic, OH
| | - Hanneke Hulst
- From the Department of Neurology & Corinne Goldsmith Dickinson Center for Multiple Sclerosis (J.F.S., M.I.), Icahn School of Medicine at Mount Sinai, New York; Department of Neurology (R.B.), School of Medicine and Biomedical Sciences, University of Buffalo, State University of New York (SUNY); Department of Neurology (C.E.), Medical University of Graz, Austria; Department of Neurology & Neuroimaging Research Unit, Division of Neuroscience (M.F., M.A.R.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Anatomy and Neurosciences (J.J.G., H.H.), VU University Medical Center, Amsterdam Neuroscience, VUmc MS Center Amsterdam, the Netherlands; Masku Neurological Rehabilitation Centre (P.H.), Masku, Finland; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Mother-Child Health (M.I.), University of Genoa, Italy; Department of Neurology & Columbia University Multiple Sclerosis Clinical Care and Research Center (V.M.L.), Columbia University Medical Center, New York, NY; Department of Neurology and Rehabilitation (E.M.R.-O.), Tampere University Hospital, Finland; and Schey Center for Cognitive Neuroimaging, Neurological Institute (S.R.), Cleveland Clinic, OH
| | - Matilde Inglese
- From the Department of Neurology & Corinne Goldsmith Dickinson Center for Multiple Sclerosis (J.F.S., M.I.), Icahn School of Medicine at Mount Sinai, New York; Department of Neurology (R.B.), School of Medicine and Biomedical Sciences, University of Buffalo, State University of New York (SUNY); Department of Neurology (C.E.), Medical University of Graz, Austria; Department of Neurology & Neuroimaging Research Unit, Division of Neuroscience (M.F., M.A.R.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Anatomy and Neurosciences (J.J.G., H.H.), VU University Medical Center, Amsterdam Neuroscience, VUmc MS Center Amsterdam, the Netherlands; Masku Neurological Rehabilitation Centre (P.H.), Masku, Finland; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Mother-Child Health (M.I.), University of Genoa, Italy; Department of Neurology & Columbia University Multiple Sclerosis Clinical Care and Research Center (V.M.L.), Columbia University Medical Center, New York, NY; Department of Neurology and Rehabilitation (E.M.R.-O.), Tampere University Hospital, Finland; and Schey Center for Cognitive Neuroimaging, Neurological Institute (S.R.), Cleveland Clinic, OH
| | - Victoria M Leavitt
- From the Department of Neurology & Corinne Goldsmith Dickinson Center for Multiple Sclerosis (J.F.S., M.I.), Icahn School of Medicine at Mount Sinai, New York; Department of Neurology (R.B.), School of Medicine and Biomedical Sciences, University of Buffalo, State University of New York (SUNY); Department of Neurology (C.E.), Medical University of Graz, Austria; Department of Neurology & Neuroimaging Research Unit, Division of Neuroscience (M.F., M.A.R.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Anatomy and Neurosciences (J.J.G., H.H.), VU University Medical Center, Amsterdam Neuroscience, VUmc MS Center Amsterdam, the Netherlands; Masku Neurological Rehabilitation Centre (P.H.), Masku, Finland; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Mother-Child Health (M.I.), University of Genoa, Italy; Department of Neurology & Columbia University Multiple Sclerosis Clinical Care and Research Center (V.M.L.), Columbia University Medical Center, New York, NY; Department of Neurology and Rehabilitation (E.M.R.-O.), Tampere University Hospital, Finland; and Schey Center for Cognitive Neuroimaging, Neurological Institute (S.R.), Cleveland Clinic, OH
| | - Maria A Rocca
- From the Department of Neurology & Corinne Goldsmith Dickinson Center for Multiple Sclerosis (J.F.S., M.I.), Icahn School of Medicine at Mount Sinai, New York; Department of Neurology (R.B.), School of Medicine and Biomedical Sciences, University of Buffalo, State University of New York (SUNY); Department of Neurology (C.E.), Medical University of Graz, Austria; Department of Neurology & Neuroimaging Research Unit, Division of Neuroscience (M.F., M.A.R.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Anatomy and Neurosciences (J.J.G., H.H.), VU University Medical Center, Amsterdam Neuroscience, VUmc MS Center Amsterdam, the Netherlands; Masku Neurological Rehabilitation Centre (P.H.), Masku, Finland; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Mother-Child Health (M.I.), University of Genoa, Italy; Department of Neurology & Columbia University Multiple Sclerosis Clinical Care and Research Center (V.M.L.), Columbia University Medical Center, New York, NY; Department of Neurology and Rehabilitation (E.M.R.-O.), Tampere University Hospital, Finland; and Schey Center for Cognitive Neuroimaging, Neurological Institute (S.R.), Cleveland Clinic, OH
| | - Eija M Rosti-Otajarvi
- From the Department of Neurology & Corinne Goldsmith Dickinson Center for Multiple Sclerosis (J.F.S., M.I.), Icahn School of Medicine at Mount Sinai, New York; Department of Neurology (R.B.), School of Medicine and Biomedical Sciences, University of Buffalo, State University of New York (SUNY); Department of Neurology (C.E.), Medical University of Graz, Austria; Department of Neurology & Neuroimaging Research Unit, Division of Neuroscience (M.F., M.A.R.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Anatomy and Neurosciences (J.J.G., H.H.), VU University Medical Center, Amsterdam Neuroscience, VUmc MS Center Amsterdam, the Netherlands; Masku Neurological Rehabilitation Centre (P.H.), Masku, Finland; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Mother-Child Health (M.I.), University of Genoa, Italy; Department of Neurology & Columbia University Multiple Sclerosis Clinical Care and Research Center (V.M.L.), Columbia University Medical Center, New York, NY; Department of Neurology and Rehabilitation (E.M.R.-O.), Tampere University Hospital, Finland; and Schey Center for Cognitive Neuroimaging, Neurological Institute (S.R.), Cleveland Clinic, OH
| | - Stephen Rao
- From the Department of Neurology & Corinne Goldsmith Dickinson Center for Multiple Sclerosis (J.F.S., M.I.), Icahn School of Medicine at Mount Sinai, New York; Department of Neurology (R.B.), School of Medicine and Biomedical Sciences, University of Buffalo, State University of New York (SUNY); Department of Neurology (C.E.), Medical University of Graz, Austria; Department of Neurology & Neuroimaging Research Unit, Division of Neuroscience (M.F., M.A.R.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy; Department of Anatomy and Neurosciences (J.J.G., H.H.), VU University Medical Center, Amsterdam Neuroscience, VUmc MS Center Amsterdam, the Netherlands; Masku Neurological Rehabilitation Centre (P.H.), Masku, Finland; Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, and Mother-Child Health (M.I.), University of Genoa, Italy; Department of Neurology & Columbia University Multiple Sclerosis Clinical Care and Research Center (V.M.L.), Columbia University Medical Center, New York, NY; Department of Neurology and Rehabilitation (E.M.R.-O.), Tampere University Hospital, Finland; and Schey Center for Cognitive Neuroimaging, Neurological Institute (S.R.), Cleveland Clinic, OH
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Belov P, Jakimovski D, Krawiecki J, Magnano C, Hagemeier J, Pelizzari L, Weinstock-Guttman B, Zivadinov R. Lower Arterial Cross-Sectional Area of Carotid and Vertebral Arteries and Higher Frequency of Secondary Neck Vessels Are Associated with Multiple Sclerosis. AJNR Am J Neuroradiol 2018; 39:123-130. [PMID: 29217748 DOI: 10.3174/ajnr.a5469] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Accepted: 08/17/2017] [Indexed: 01/27/2023]
Abstract
BACKGROUND AND PURPOSE Arterial and neck vessel system characteristics of patients with multiple sclerosis have not been previously investigated. Therefore, the aim of this study was to examine the frequency of neck vessels and their cross-sectional areas (in square millimeters) between patients with MS and healthy controls. MATERIALS AND METHODS In this study, 193 patients with MS and 193 age- and sex-matched healthy controls underwent 2D TOF venography at 3T. The main arterial (carotid and vertebral), venous (internal jugular), and secondary neck vessels were examined at 4 separate cervical levels (C2/3, C4, C5/6, and C7/T1). The ANCOVA adjusted for age, body mass index, smoking status, hypertension, and heart disease was used to compare the differences between patients with MS and healthy controls. RESULTS After controlling for all confounding factors, patients with MS had significantly lower cross-sectional areas of the carotid arteries at the C2/3 (P = .03), C5/6 (P = .026), and C7/T1 (P = .005) levels as well as of the vertebral arteries at the C2/3 (P = .02), C4 (P = .012), and C7/T1 (P = .006) levels, compared with healthy controls. A higher frequency of secondary neck vessels was found at all 4 levels in patients with MS: C2/3 (12.9 versus 10, P < .001), C4 (9.1 versus 7.5, P < .001), C5/6 (7.8 versus 6.8, P = .012), and C7/T1 (8.8 versus 6, P < .001). The total cross-sectional areas of secondary neck vessels were also significantly higher at all 4 levels (P < .03). No significant differences in the cross-sectional areas of jugular veins were found between patients with MS and healthy controls. CONCLUSIONS Patients with MS showed lower cross-sectional areas of the carotid and vertebral arteries and a higher frequency of secondary neck vessels and their cross-sectional areas compared with healthy controls.
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Affiliation(s)
- P Belov
- From the Buffalo Neuroimaging Analysis Center, Department of Neurology (P.B., D.J., J.K., C.M., J.H., R.Z.)
| | - D Jakimovski
- From the Buffalo Neuroimaging Analysis Center, Department of Neurology (P.B., D.J., J.K., C.M., J.H., R.Z.)
| | - J Krawiecki
- From the Buffalo Neuroimaging Analysis Center, Department of Neurology (P.B., D.J., J.K., C.M., J.H., R.Z.)
| | - C Magnano
- From the Buffalo Neuroimaging Analysis Center, Department of Neurology (P.B., D.J., J.K., C.M., J.H., R.Z.)
| | - J Hagemeier
- From the Buffalo Neuroimaging Analysis Center, Department of Neurology (P.B., D.J., J.K., C.M., J.H., R.Z.)
| | - L Pelizzari
- Department of Electronics, Information and Bioengineering (L.P.), Politecnico di Milano, Milan, Italy
- Fondazione Don Carlo Gnocchi Organizzazione Non Lucrativa di Utilita' Sociae (L.P.), Milan, Italy
| | | | - R Zivadinov
- From the Buffalo Neuroimaging Analysis Center, Department of Neurology (P.B., D.J., J.K., C.M., J.H., R.Z.)
- Center for Biomedical Imaging at Clinical Translational Science Institute (R.Z.), University at Buffalo, State University of New York, Buffalo, New York
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Pelizzari L, Laganà MM, Jakimovski D, Bergsland N, Hagemeier J, Baselli G, Zivadinov R. Neck Vessel Cross-Sectional Area Measured with MRI: Scan-Rescan Reproducibility for Longitudinal Evaluations. J Neuroimaging 2017; 28:48-56. [PMID: 29205670 DOI: 10.1111/jon.12488] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Revised: 10/19/2017] [Accepted: 11/07/2017] [Indexed: 01/02/2023] Open
Abstract
BACKGROUND AND PURPOSE The cross-sectional area (CSA) of common carotid arteries-internal carotid arteries (CCA-ICAs), vertebral arteries (VAs), and internal jugular veins (IJVs) is influenced by aging. However, the neck vessel CSA can be affected by other factors as well, including subject positioning, hydration, and respiration, especially in longitudinal studies. This study aimed to assess scan-rescan reproducibility of CCA-ICAs, VAs, and IJVs CSA measurements in order to evaluate their feasibility for longitudinal CSA assessments, and to apply the segmentation method on a longitudinal pilot dataset. METHODS Two set of 2-dimensional neck magnetic resonance angiography (MRA) images were acquired on a 3-T scanner from two separate datasets: 9 healthy individuals (HIs) were scanned 5 days apart (scan-rescan dataset) and 12 HIs were acquired 5 years apart (baseline-follow-up dataset). CCA-ICAs, VAs, and IJVs were segmented along the whole vessel length between C3 and C7 intervertebral spaces. Repeated measure analysis of covariance, adjusted for cervical level and sample, and Wilcoxon signed-rank sum test were used to assess the scan-rescan and baseline-follow-up CSA differences. Intraclass correlation coefficient (ICC) was also computed to evaluate scan-rescan reliability. RESULTS No significant CSA differences were found for the scan-rescan and baseline-follow-up CSA comparisons, using the whole vessel length or single cervical level measurements. ICC analysis showed good degree of scan-rescan reproducibility (considering whole vessel measures: ICC > .9, P-value < .001 for CCA-ICAs, ICC > .6, P-value < .001 for VAs, and ICC > .7, P-value < .001 for IJVs). CONCLUSIONS Scan-rescan reproducibility of CCA-ICAs, VAs, and IJVs CSA measurements is high, making longitudinal studies feasible.
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Affiliation(s)
- Laura Pelizzari
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy.,IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | | | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - 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
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Giuseppe Baselli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - 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.,Translational Imaging Center at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY
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Hagemeier J, Ramanathan M, Schweser F, Dwyer MG, Lin F, Bergsland N, Weinstock-Guttman B, Zivadinov R. Iron-related gene variants and brain iron in multiple sclerosis and healthy individuals. NEUROIMAGE-CLINICAL 2017; 17:530-540. [PMID: 29201641 PMCID: PMC5699896 DOI: 10.1016/j.nicl.2017.11.003] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 11/01/2017] [Accepted: 11/03/2017] [Indexed: 12/14/2022]
Abstract
Brain iron homeostasis is known to be disturbed in multiple sclerosis (MS), yet little is known about the association of common gene variants linked to iron regulation and pathological tissue changes in the brain. In this study, we investigated the association of genetic determinants linked to iron regulation with deep gray matter (GM) magnetic susceptibility in both healthy controls (HC) and MS patients. Four hundred (400) patients with MS and 150 age- and sex-matched HCs were enrolled and obtained 3 T MRI examination. Three (3) single nucleotide polymorphisms (SNPs) associated with iron regulation were genotyped: two SNPs in the human hereditary hemochromatosis protein gene HFE: rs1800562 (C282Y mutation) and rs1799945 (H63D mutation), as well as the rs1049296 SNP in the transferrin gene (C2 mutation). The effects of disease and genetic status were studied using quantitative susceptibility mapping (QSM) voxel-based analysis (VBA) and region-of-interest (ROI) analysis of the deep GM. The general linear model framework was used to compare groups. Analyses were corrected for age and sex, and adjusted for false discovery rate. We found moderate increases in susceptibility in the right putamen of participants with the C282Y (+ 6.1 ppb) and H63D (+ 6.9 ppb) gene variants vs. non-carriers, as well as a decrease in thalamic susceptibility of progressive MS patients with the C282Y mutation (left: − 5.3 ppb, right: − 6.7 ppb, p < 0.05). Female MS patients had lower susceptibility in the caudate (− 6.0 ppb) and putamen (left: − 3.9 ppb, right: − 4.6 ppb) than men, but only when they had a wild-type allele (p < 0.05). Iron-gene linked increases in putamen susceptibility (in HC and relapsing remitting MS) and decreases in thalamus susceptibility (in progressive MS), coupled with apparent sex interactions, indicate that brain iron in healthy and disease states may be influenced by genetic factors. Magnetic susceptibility and common gene variants linked to iron were investigated. The C282Y and H63D alleles were associated with putamen and thalamus susceptibility changes. Dependent on allele status, men and women differed in deep GM susceptibility in MS.
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Key Words
- EDSS, Expanded Disability Status Scale
- FDR, false discovery rate
- FWE, family-wise error rate
- GLM, general linear model
- GM, gray matter
- GRE, gradient recalled echo
- HC, healthy control
- HFE, human hemochromatosis gene
- Iron
- Iron related genes
- MS, multiple sclerosis
- MSSS, multiple sclerosis severity scale
- Multiple sclerosis
- QSM
- QSM, quantitative susceptibility mapping
- Quantitative susceptibility mapping
- ROI, region of interest
- RRMS, relapsing-remitting multiple sclerosis
- SNP, single nucleotide polymorphism
- T1w, T1-weighted
- TF, transferrin
- TFCE, threshold-free cluster enhancement
- VBA, voxel-based analysis
- ppb, parts per billion
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Affiliation(s)
- Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA.
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY, USA
| | - Ferdinand Schweser
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging, Clinical and Translational Science Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The 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, The State University of New York, Buffalo, NY, USA
| | - Fuchun Lin
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The 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, The State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging, Clinical and Translational Science Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
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Abstract
Multiple sclerosis (MS) is a demyelinating and neurodegenerative disorder of the central nervous system, for which disease modifying therapies (DMTs) are the mainstay treatment approach to reduce inflammatory disease activity and slow worsening disability. In addition to conventional pharmacologic therapy, there is growing interest in the use of lifestyle strategies to support wellness and mitigate disease-related complications in MS. This interest stems from a growing appreciation of the role of certain comorbidities and lifestyle factors on disease activity, disability, mortality, and overall quality of life. While the current literature is not conclusive, there is evidence to suggest a potential role for vitamin D supplementation, tobacco smoking cessation, routine exercise, a plant-based, anti-inflammatory diet, and maintenance of emotional well-being as adjunct therapies to DMTs. In addition to DMTs, lifestyle strategies should be emphasized as part of a management plan focused on overall health and well-being.
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Affiliation(s)
- Brandon P Moss
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, Cleveland, OH, USA.
| | - Mary R Rensel
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, Cleveland, OH, USA
| | - Carrie M Hersh
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, NV, USA
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Geraldes R, Esiri MM, DeLuca GC, Palace J. Age-related small vessel disease: a potential contributor to neurodegeneration in multiple sclerosis. Brain Pathol 2017; 27:707-722. [PMID: 27864848 DOI: 10.1111/bpa.12460] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2016] [Accepted: 11/17/2016] [Indexed: 12/18/2022] Open
Abstract
Multiple sclerosis (MS) is a chronic inflammatory demyelinating disorder of the central nervous system wherein, after an initial phase of transient neurological defects, slow neurological deterioration due to progressive neuronal loss ensues. Age is a major determinant of MS progression onset and disability. Over the past years, several mechanisms have been proposed to explain the key drivers of neurodegeneration and disability accumulation in MS. However, the effect of commonly encountered age-related cerebral vessel disease, namely small vessel disease (SVD), has been largely neglected and constitutes the aim of this review. SVD shares some features with MS, that is, white matter demyelination and brain atrophy, and has been shown to contribute to the neuronal damage seen in vascular cognitive impairment. Several lines of evidence suggest that an interaction between MS and SVD may influence MS-related neurodegeneration. SVD may contribute to hypoperfusion, reduced vascular reactivity and tissue hypoxia, features seen in MS. Venule and endothelium abnormalities have been documented in MS but the role of arterioles and of other neurovascular unit structures, such as the pericyte, has not been explored. Vascular risk factors (VRF) have recently been associated with faster progression in MS, though the mechanisms are unclear since very few studies have addressed the impact of VRF and SVD on MS imaging and pathology outcomes. Therapeutic agents targeting the microvasculature and the neurovascular unit may impact both SVD and MS and may benefit patients with dual pathology.
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Affiliation(s)
- Ruth Geraldes
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK
| | - Margaret M Esiri
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK
| | - Gabriele C DeLuca
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK
| | - Jacqueline Palace
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK
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Bamm VV, Geist AM, Harauz G. Correlation of geographic distributions of haptoglobin alleles with prevalence of multiple sclerosis (MS) - a narrative literature review. Metab Brain Dis 2017; 32:19-34. [PMID: 27807673 DOI: 10.1007/s11011-016-9923-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2016] [Accepted: 10/19/2016] [Indexed: 12/15/2022]
Abstract
We have proposed that the myelin damage observed in multiple sclerosis (MS) may be partly mediated through the long-term release and degradation of extracellular hemoglobin (Hb) and the products of its oxidative degradation [Cellular and Molecular Life Sciences, 71, 1789-1798, 2014]. The protein haptoglobin (Hpt) binds extracellular Hb as a first line of defense, and can serve as a vascular antioxidant. Humans have two different Hpt alleles: Hpt1 and Hpt2, giving either homozygous Hpt1-1 or Hpt2-2 phenotypes, or a heterozygous Hpt1-2 phenotype. We questioned whether those geographic regions with higher frequency of the Hpt2 allele (conversely, lower frequency of Hpt1 allele) would correlate with an increased incidence of MS, because different Hpt phenotypes will have variable anti-oxidative potentials in protecting myelin from damage inflicted by extracellular Hb and its degradation products. To test this hypothesis, we undertook a systematic analysis of the literature on reported geographic distributions of Hpt alleles to compare them with data reported in the World Health Organization Atlas of worldwide MS prevalence. We found the frequency of the Hpt1 allele to be low in European and North American countries with a high prevalence of MS, consistent with our hypothesis. However, this correlation was not observed in China and India, countries with the lowest Hpt1 frequencies, yet low reported prevalence of MS. Nevertheless, this work shows the need for continued refinement of geographic patterns of MS prevalence, including data on ethnic or racial origin, and for new clinical studies to probe the observed correlation and evaluate Hpt phenotype as a predictor of disease variability and progression, severity, and/or comorbidity with cardiovascular disorders.
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Affiliation(s)
- Vladimir V Bamm
- Department of Molecular and Cellular Biology, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada
| | - Arielle M Geist
- Department of Molecular and Cellular Biology, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada
| | - George Harauz
- Department of Molecular and Cellular Biology, University of Guelph, 50 Stone Road East, Guelph, ON, N1G 2W1, Canada.
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48
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Lewin A, Hamilton S, Witkover A, Langford P, Nicholas R, Chataway J, Bangham CR. Free serum haemoglobin is associated with brain atrophy in secondary progressive multiple sclerosis. Wellcome Open Res 2016; 1:10. [PMID: 27996064 PMCID: PMC5159626 DOI: 10.12688/wellcomeopenres.9967.2] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
Background A major cause of disability in secondary progressive multiple sclerosis (SPMS) is progressive brain atrophy, whose pathogenesis is not fully understood. The objective of this study was to identify protein biomarkers of brain atrophy in SPMS. Methods We used surface-enhanced laser desorption-ionization time-of-flight mass spectrometry to carry out an unbiased search for serum proteins whose concentration correlated with the rate of brain atrophy, measured by serial MRI scans over a 2-year period in a well-characterized cohort of 140 patients with SPMS. Protein species were identified by liquid chromatography-electrospray ionization tandem mass spectrometry. Results There was a significant (p<0.004) correlation between the rate of brain atrophy and a rise in the concentration of proteins at 15.1 kDa and 15.9 kDa in the serum. Tandem mass spectrometry identified these proteins as alpha-haemoglobin and beta-haemoglobin, respectively. The abnormal concentration of free serum haemoglobin was confirmed by ELISA (p<0.001). The serum lactate dehydrogenase activity was also highly significantly raised (p<10-12) in patients with secondary progressive multiple sclerosis. Conclusions An underlying low-grade chronic intravascular haemolysis is a potential source of the iron whose deposition along blood vessels in multiple sclerosis plaques contributes to the neurodegeneration and consequent brain atrophy seen in progressive disease. Chelators of free serum iron will be ineffective in preventing this neurodegeneration, because the iron (Fe2+) is chelated by haemoglobin.
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Affiliation(s)
- Alex Lewin
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK,Present address: Department of Mathematics, Brunel University, London, UK,
| | - Shea Hamilton
- Division of Infectious Diseases, Department of Medicine, Imperial College London, London, UK,
| | - Aviva Witkover
- Division of Infectious Diseases, Department of Medicine, Imperial College London, London, UK
| | - Paul Langford
- Division of Infectious Diseases, Department of Medicine, Imperial College London, London, UK
| | - Richard Nicholas
- Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK
| | - Jeremy Chataway
- National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust and Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London, London, UK
| | - Charles R.M. Bangham
- Division of Infectious Diseases, Department of Medicine, Imperial College London, London, UK,
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Rocca MA, Battaglini M, Benedict RHB, De Stefano N, Geurts JJG, Henry RG, Horsfield MA, Jenkinson M, Pagani E, Filippi M. Brain MRI atrophy quantification in MS: From methods to clinical application. Neurology 2016; 88:403-413. [PMID: 27986875 DOI: 10.1212/wnl.0000000000003542] [Citation(s) in RCA: 162] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Accepted: 10/18/2016] [Indexed: 01/06/2023] Open
Abstract
Patients with the main clinical phenotypes of multiple sclerosis (MS) manifest varying degrees of brain atrophy beyond that of normal aging. Assessment of atrophy helps to distinguish clinically and cognitively deteriorating patients and predicts those who will have a less-favorable clinical outcome over the long term. Atrophy can be measured from brain MRI scans, and many technological improvements have been made over the last few years. Several software tools, with differing requirements on technical ability and levels of operator intervention, are currently available and have already been applied in research or clinical trial settings. Despite this, the measurement of atrophy in routine clinical practice remains an unmet need. After a short summary of the pathologic substrates of brain atrophy in MS, this review attempts to guide the clinician towards a better understanding of the methods currently used for quantifying brain atrophy in this condition. Important physiologic factors that affect brain volume measures are also considered. Finally, the most recent research on brain atrophy in MS is summarized, including whole brain and various compartments thereof (i.e., white matter, gray matter, selected CNS structures). Current methods provide sufficient precision for cohort studies, but are not adequate for confidently assessing changes in individual patients over the scale of months or a few years.
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Affiliation(s)
- Maria A Rocca
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Marco Battaglini
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Ralph H B Benedict
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Nicola De Stefano
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Jeroen J G Geurts
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Roland G Henry
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Mark A Horsfield
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Mark Jenkinson
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Elisabetta Pagani
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK
| | - Massimo Filippi
- From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK.
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Lewin A, Hamilton S, Witkover A, Langford P, Nicholas R, Chataway J, Bangham CRM. Free serum haemoglobin is associated with brain atrophy in secondary progressive multiple sclerosis. Wellcome Open Res 2016. [PMID: 27996064 DOI: 10.12688/wellcomeopenres.9967.1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Background A major cause of disability in secondary progressive multiple sclerosis (SPMS) is progressive brain atrophy, whose pathogenesis is not fully understood. The objective of this study was to identify protein biomarkers of brain atrophy in SPMS. Methods We used surface-enhanced laser desorption-ionization time-of-flight mass spectrometry to carry out an unbiased search for serum proteins whose concentration correlated with the rate of brain atrophy, measured by serial MRI scans over a 2-year period in a well-characterized cohort of 140 patients with SPMS. Protein species were identified by liquid chromatography-electrospray ionization tandem mass spectrometry. Results There was a significant (p<0.004) correlation between the rate of brain atrophy and a rise in the concentration of proteins at 15.1 kDa and 15.9 kDa in the serum. Tandem mass spectrometry identified these proteins as alpha-haemoglobin and beta-haemoglobin, respectively. The abnormal concentration of free serum haemoglobin was confirmed by ELISA (p<0.001). The serum lactate dehydrogenase activity was also highly significantly raised (p<10-12) in patients with secondary progressive multiple sclerosis. Conclusions An underlying low-grade chronic intravascular haemolysis is a potential source of the iron whose deposition along blood vessels in multiple sclerosis plaques contributes to the neurodegeneration and consequent brain atrophy seen in progressive disease. Chelators of free serum iron will be ineffective in preventing this neurodegeneration, because the iron (Fe2+) is chelated by haemoglobin.
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Affiliation(s)
- Alex Lewin
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK.,Present address: Department of Mathematics, Brunel University, London, UK
| | - Shea Hamilton
- Division of Infectious Diseases, Department of Medicine, Imperial College London, London, UK
| | - Aviva Witkover
- Division of Infectious Diseases, Department of Medicine, Imperial College London, London, UK
| | - Paul Langford
- Division of Infectious Diseases, Department of Medicine, Imperial College London, London, UK
| | - Richard Nicholas
- Division of Brain Sciences, Department of Medicine, Imperial College London, London, UK
| | - Jeremy Chataway
- National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust and Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, University College London, London, UK
| | - Charles R M Bangham
- Division of Infectious Diseases, Department of Medicine, Imperial College London, London, UK
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