1
|
Reinhardt C, Angstwurm K, Freudenstein D, Lee DH, Wendl C, Linker RA. Real-world analysis of brain atrophy in multiple sclerosis patients with an artificial intelligence based software tool. Neurol Res Pract 2024; 6:40. [PMID: 39113151 PMCID: PMC11308334 DOI: 10.1186/s42466-024-00339-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 07/22/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Atrophy of white and grey matter volumes occurs early in the brains of people with multiple sclerosis (pwMS) and has great clinical relevance. In clinical trials, brain atrophy can be quantified by magnetic resonance imaging (MRI) with automated software tools. METHODS In this study, we analyze volumes of various brain regions with the software "md brain" based on routine MRI scans of 53 pwMS in a real-world setting. We compare brain volumes of pwMS with an EDSS ≥ 3.5 and a disease duration ≥ 10 years to the brain volumes of pwMS with an EDSS < 3.5 and a disease duration < 10 years as well as with or without immunotherapy. RESULTS pwMS with an EDSS ≥ 3.5 and a disease duration ≥ 10 years had significantly lower volumes of the total brain, the grey matter and of the frontal, temporal, parietal and occipital lobe regions as compared to pwMS with an EDSS < 3.5 and a disease duration < 10 years. Regional brain volumes were significantly lower in pwMS without immunotherapy. CONCLUSIONS The study showed that higher EDSS, longer disease duration and absence of immunotherapy was associated with lower volumes in a number of brain regions. Further real-world studies may include larger patient cohorts in longitudinal analyses.
Collapse
Affiliation(s)
- Caroline Reinhardt
- Department of Neurology, University of Regensburg, Universitätsstr. 84, 93053, Regensburg, Germany
| | - Klemens Angstwurm
- Department of Neurology, University of Regensburg, Universitätsstr. 84, 93053, Regensburg, Germany
| | - David Freudenstein
- Department of Neurology, University of Regensburg, Universitätsstr. 84, 93053, Regensburg, Germany
| | - De-Hyung Lee
- Department of Neurology, University of Regensburg, Universitätsstr. 84, 93053, Regensburg, Germany
| | - Christina Wendl
- Department of Neuroradiology, University of Regensburg, Regensburg, Germany
| | - Ralf A Linker
- Department of Neurology, University of Regensburg, Universitätsstr. 84, 93053, Regensburg, Germany.
| |
Collapse
|
2
|
Gouider R, Souissi A, Mrabet S, Gharbi A, Abida Y, Kacem I, Gargouri-Berrechid A. Environmental factors related to multiple sclerosis progression. J Neurol Sci 2024; 464:123161. [PMID: 39137699 DOI: 10.1016/j.jns.2024.123161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 07/29/2024] [Accepted: 07/29/2024] [Indexed: 08/15/2024]
Abstract
Multiple Sclerosis (MS) is a complex neurological disease which prevalence is increasing worldwide. The impact of environmental factors on MS susceptibility has already been defined and highlighted in many previous reports, particularly vitamin D or ultraviolet B light exposure, Epstein-Barr virus (EBV) infection, obesity, and smoking. There is increasing evidence that environmental and lifestyle factors are not only important in triggering MS but are also implicated in MS progression. Low sun exposure and vitamin D deficiency exhibit a strong relationship with disease progression in both animal and human studies. The gestational period seems also to impact long-term disease progression as January's babies had a higher risk of requiring walking assistance than those born in other months. The implication of EBV in neurodegeneration and MS progression was also suggested even though its specific targets and mechanisms are still unclear. Cigarette smoking is correlated with faster clinical progression. The association of obesity and smoking seems to be associated with a faster progression and an increased rate of brain atrophy. Although the effect of air pollution on MS pathogenesis remains not fully understood, exposure to polluted air can stimulate several mechanisms that might contribute to MS severity. People with MS with active disease have an altered microbiota compared to patients in the remission phase. Cardiovascular comorbidities, epilepsy, and depression are also associated with a more severe disability accrual. Knowledge about MS modifiable risk factors of progression need to be incorporated into everyday clinical practice in order to ameliorate disease outcomes.
Collapse
Affiliation(s)
- Riadh Gouider
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia.
| | - Amira Souissi
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia
| | - Saloua Mrabet
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia
| | - Alya Gharbi
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia
| | - Youssef Abida
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia
| | - Imen Kacem
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia
| | - Amina Gargouri-Berrechid
- Department of Neurology, Clinical Investigation Centre Neurosciences and Mental Health LR 18SP03, Razi University Hospital - Manouba, Tunis, Tunisia; University of Tunis El Manar, Faculty of Medicine of Tunis, 1007, Tunisia
| |
Collapse
|
3
|
Kular L. The lung-brain axis in multiple sclerosis: Mechanistic insights and future directions. Brain Behav Immun Health 2024; 38:100787. [PMID: 38737964 PMCID: PMC11087231 DOI: 10.1016/j.bbih.2024.100787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 03/23/2024] [Accepted: 05/02/2024] [Indexed: 05/14/2024] Open
Abstract
Multiple sclerosis is a chronic inflammatory demyelinating disease of the central nervous system with progressive lifelong disability. Current treatments are particularly effective at the early inflammatory stage of the disease but associate with safety concerns such as increased risk of infection. While clinical and epidemiological evidence strongly support the role of a bidirectional communication between the lung and the brain in MS in influencing disease risk and severity, the exact processes underlying such relationship appear complex and not fully understood. This short review aims to summarize key findings and future perspectives that might provide new insights into the mechanisms underpinning the lung-brain axis in MS.
Collapse
Affiliation(s)
- Lara Kular
- Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| |
Collapse
|
4
|
Chen J, Li T, Zhao B, Chen H, Yuan C, Garden GA, Wu G, Zhu H. The interaction effects of age, APOE and common environmental risk factors on human brain structure. Cereb Cortex 2024; 34:bhad472. [PMID: 38112569 PMCID: PMC10793588 DOI: 10.1093/cercor/bhad472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 10/09/2023] [Accepted: 11/06/2023] [Indexed: 12/21/2023] Open
Abstract
Mounting evidence suggests considerable diversity in brain aging trajectories, primarily arising from the complex interplay between age, genetic, and environmental risk factors, leading to distinct patterns of micro- and macro-cerebral aging. The underlying mechanisms of such effects still remain unclear. We conducted a comprehensive association analysis between cerebral structural measures and prevalent risk factors, using data from 36,969 UK Biobank subjects aged 44-81. Participants were assessed for brain volume, white matter diffusivity, Apolipoprotein E (APOE) genotypes, polygenic risk scores, lifestyles, and socioeconomic status. We examined genetic and environmental effects and their interactions with age and sex, and identified 726 signals, with education, alcohol, and smoking affecting most brain regions. Our analysis revealed negative age-APOE-ε4 and positive age-APOE-ε2 interaction effects, respectively, especially in females on the volume of amygdala, positive age-sex-APOE-ε4 interaction on the cerebellar volume, positive age-excessive-alcohol interaction effect on the mean diffusivity of the splenium of the corpus callosum, positive age-healthy-diet interaction effect on the paracentral volume, and negative APOE-ε4-moderate-alcohol interaction effects on the axial diffusivity of the superior fronto-occipital fasciculus. These findings highlight the need of considering age, sex, genetic, and environmental joint effects in elucidating normal or abnormal brain aging.
Collapse
Affiliation(s)
- Jie Chen
- Department of Biostatistics, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill NC 27514, United States
| | - Tengfei Li
- Department of Radiology, School of Medicine, University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27514, United States
- Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, 125 Mason Farm Road, Chapel Hill, NC 27599, United States
| | - Bingxin Zhao
- Department of Statistics and Data Science, The Wharton School, University of Pennsylvania, 265 South 37th Street, 3rd & 4th Floors, Philadelphia, PA 19104-1686, United States
| | - Hui Chen
- School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, China
| | - Changzheng Yuan
- School of Public Health, Zhejiang University School of Medicine, 866 Yuhangtang Rd, Hangzhou 310058, China
- Department of Nutrition, Harvard T H Chan School of Public Health, 665 Huntington Avenue Boston, MA, 02115, United States
| | - Gwenn A Garden
- Department of Neurology, School of Medicine, University of North Carolina at Chapel Hill, 170 Manning Drive Chapel Hill, NC 27599-7025, United States
| | - Guorong Wu
- Department of Psychiatry, School of Medicine, University of North Carolina at Chapel Hill, 101 Manning Drive, Chapel Hill, NC 27514, United States
- Departments of Statistics and Operations Research, University of North Carolina at Chapel Hill, 318 E Cameron Ave #3260, Chapel Hill, NC 27599, United States
- Departments of Computer Science, University of North Carolina at Chapel Hill, 201 South Columbia Street, Chapel Hill, NC 27599, United States
- UNC Neuroscience Center, University of North Carolina at Chapel Hill, 116 Manning Dr, Chapel Hill, NC 27599, United States
- Carolina Institute for Developmental Disabilities, 101 Renee Lynne Ct, Carrboro, NC 27510, United States
| | - Hongtu Zhu
- Department of Biostatistics, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill NC 27514, United States
- Biomedical Research Imaging Center, School of Medicine, University of North Carolina at Chapel Hill, 125 Mason Farm Road, Chapel Hill, NC 27599, United States
- Departments of Statistics and Operations Research, University of North Carolina at Chapel Hill, 318 E Cameron Ave #3260, Chapel Hill, NC 27599, United States
- Departments of Computer Science, University of North Carolina at Chapel Hill, 201 South Columbia Street, Chapel Hill, NC 27599, United States
- Departments of Genetics, University of North Carolina at Chapel Hill, 120 Mason Farm Road, Chapel Hill, NC 27514, United States
| |
Collapse
|
5
|
Doskas T, Dardiotis E, Vavougios GD, Ntoskas KT, Sionidou P, Vadikolias K. Stroke risk in multiple sclerosis: a critical appraisal of the literature. Int J Neurosci 2023; 133:1132-1152. [PMID: 35369835 DOI: 10.1080/00207454.2022.2056459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 03/14/2022] [Indexed: 10/18/2022]
Abstract
Observational studies suggest that the occurrence of stroke on multiple sclerosis (MS) patients is higher compared to the general population. MS is a heterogeneous disease that involves an interplay of genetic, environmental and immune factors. The occurrence of stroke is subject to a wide range of both modifiable and non-modifiable, short- and long-term risk factors. Both MS and stroke share common risk factors. The immune mechanisms that underlie stroke are similar to neurodegenerative diseases and are attributed to neuroinflammation. The inflammation in autoimmune diseases may, therefore, predispose to an increased risk for stroke or potentiate the effect of conventional stroke risk factors. There are, however, additional determinants that contribute to a higher risk and incidence of stroke in MS. Due to the challenges that are associated with their differential diagnosis, the objective is to present an overview of the factors that may contribute to increased susceptibility or occurrence of stroke in MSpatients by performing a review of the available to date literature. As both MS and stroke can individually detrimentally affect the quality of life of afflicted patients, the identification of factors that contribute to an increased risk for stroke in MS is crucial for the prompt implementation of preventative therapeutic measures to limit the additive burden that stroke imposes.
Collapse
Affiliation(s)
- Triantafyllos Doskas
- Department of Neurology, Athens Naval Hospital, Athens, Greece
- Department of Neurology, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Efthimios Dardiotis
- Department of Neurology, Laboratory of Neurogenetics, University Hospital of Larissa, Larissa, Greece
- Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece
| | | | | | | | | |
Collapse
|
6
|
Hosseini M, Haghighatzadeh M, Hassanpour R, Asadollahzadeh E, Rezaeimanesh N, Eskandarieh S, Navardi S, Ghadiri F, Moghadasi AN, Sahraian MA. The effects of different types of smoking on recovery from attack in hospitalized multiple sclerosis patients. Clin Neurol Neurosurg 2023; 232:107846. [PMID: 37467576 DOI: 10.1016/j.clineuro.2023.107846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Revised: 04/12/2023] [Accepted: 06/21/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND Several studies demonstrated the association between tobacco smoking and higher risk and increased progression of multiple sclerosis (MS). Data about the effect of smoking during the recovery from MS attacks is limited. Furthermore, different types of tobacco exposures such as water pipe and passive smoking are not well assessed separately. So this study evaluated the effect of different types of smokes, cigarette and water pipe as well as passive smoking on the function recovery of relapsing-remitting MS (RRMS) attacks METHODS: This cohort study evaluated the adult patients with RRMS and Expanded Disability Status Scale (EDSS) < 5 in the attack phase. Patients were divided into two groups: smokers and non-smokers. The smokers included those who use cigarette, water pipe as well as passive smokers as subgroups for more analyses later. EDSS was monitored after relapse and two months after relapse. Change of EDSS considered as the criteria for functional recovery. The correlation between the amount of consumption and disability level was assessed among smokers by Pearson's correlation test. While, the difference of EDSS between smoker and non-smoker were assessed by Independent samples T-test. RESULTS 142 patients were evaluated. 79 (55.6%) were smokers (43% male) while 63 (44.4%) were non-smokers (36.5% male). There was a statistically significant difference in change of EDSS between smoker and non-smoker groups, which change of EDSS was higher in non-smoker (-2.62 ± 0.90 non-smoker vs. -1.75 ± 0.76 smoker, P < 0.001). Also, only there was a significantly lesser decline in EDSS after two months in the cigarette smokers in subgroups analyses (P < 0.001). A correlation analysis revealed a significant positive correlation between the number per day of cigarette smoking and EDSS after relapse (r = 0.3, P = 0.03) and a significant positive correlation between minutes per month of smoking of water pipe and EDSS two months after relapse (r = 0.6, P > 0.001). CONCLUSION Tobacco smoking especially cigarette smoking is associated with a negative effect on recovery from the attack in patients with RRMS.
Collapse
Affiliation(s)
- Marie Hosseini
- Department of Neurology, Sina Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahsa Haghighatzadeh
- Department of Neurology, Imam Hossein Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Rezvan Hassanpour
- Department of Clinical Pharmacy, Faculty of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Elnaz Asadollahzadeh
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Nasim Rezaeimanesh
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Sharareh Eskandarieh
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Samira Navardi
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Fereshteh Ghadiri
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Abdorreza Naser Moghadasi
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Sahraian
- Multiple Sclerosis Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
7
|
Wu J, Olsson T, Hillert J, Alfredsson L, Hedström AK. Influence of oral tobacco versus smoking on multiple sclerosis disease activity and progression. J Neurol Neurosurg Psychiatry 2023; 94:589-596. [PMID: 37001984 PMCID: PMC10359558 DOI: 10.1136/jnnp-2022-330848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 02/13/2023] [Indexed: 06/19/2023]
Abstract
We aimed to study the influence of smoking habits, exposure to passive smoking and snuff use on disease progression, cognitive performance and quality of life in patients with multiple sclerosis (MS). METHOD Patients from two population-based case-control studies were categorised based on tobacco exposure at diagnosis and were followed up to 15 years post diagnosis through the Swedish MS registry (n=9089) regarding changes in Expanded Disability Status Scale (EDSS), Multiple Sclerosis Impact Scale 29 and Symbol Digit Modalities Test. We used linear mixed models to analyse long-term changes, and Cox regression models with 95% CI using 24-week confirmed disability worsening, reaching EDSS 3 and EDSS 4, respectively, physical and psychological worsening and cognitive disability worsening as end points. The influence of smoking cessation post diagnosis was also investigated. RESULTS Compared with non-smokers, current smokers had a faster EDSS progression (βcurrent smoking×time=0.03, 95% CI 0.02 to 0.04). A faster EDSS progression was also associated with passive smoking (βcurrent passive smoking×time=0.04, 95% CI 0.03 to 0.06). Smoke exposure negatively impacted all secondary outcomes. Those who continued smoking had worse outcomes than those who stopped smoking post diagnosis. Snuff users had a more favourable EDSS progression, compared with never users. CONCLUSIONS Our findings indicate that both smoking and passive smoking have a negative influence on MS and that smoking cessation post diagnosis may be an important secondary preventive measure. Snuff use was associated with slower disease progression, suggesting that nicotine replacement therapy could be an attractive way to increase the chance of quitting smoking among patients with MS.
Collapse
Affiliation(s)
- Jing Wu
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Stockholm, Stockholm, Sweden
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Anna Karin Hedström
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
8
|
Dinov D, Brenton JN. Environmental Influences on Risk and Disease Course in Pediatric Multiple Sclerosis. Semin Pediatr Neurol 2023; 46:101049. [PMID: 37451747 PMCID: PMC10351032 DOI: 10.1016/j.spen.2023.101049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 04/21/2023] [Accepted: 04/23/2023] [Indexed: 07/18/2023]
Abstract
Pediatric multiple sclerosis (MS) accounts for 3%-10% of all patients diagnosed with MS. Complex interplay between environmental factors impacts the risk for MS and may also affect disease course. Many of these environmental factors are shared with adult-onset MS. However, children with MS are in closer temporal proximity to the biological onset of MS and have less confounding environmental exposures than their adult counterparts. Environmental factors that contribute to MS risk include: geographical latitude, viral exposures, obesity, vitamin deficiencies, smoking, air pollution, perinatal factors, gut microbiome, and diet. More recently, research efforts have shifted to studying the impact of these risk determinants on the clinical course of MS. In this article we will examine relevant environmental risk determinants of pediatric MS and review the current knowledge on how these factors may contribute to pediatric MS disease evolution.
Collapse
Affiliation(s)
- Darina Dinov
- Department of Neurology, Virginia Commonwealth University, Richmond, VA
| | - James Nicholas Brenton
- Division of Child Neurology, Department of Neurology, University of Virginia, Charlottesville, VA.
| |
Collapse
|
9
|
Alrouji M, Manouchehrinia A, Aram J, Alotaibi A, Alhajlah S, Almuhanna Y, Alomeir O, Shamsi A, Gran B, Constantinescu CS. Investigating the Effect of Cigarette Smoking on Serum Uric Acid Levels in Multiple Sclerosis Patients: A Cross Sectional Study. Brain Sci 2023; 13:brainsci13050800. [PMID: 37239272 DOI: 10.3390/brainsci13050800] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/01/2023] [Accepted: 05/02/2023] [Indexed: 05/28/2023] Open
Abstract
OBJECTIVES The present study is aimed at determining the effect of cigarette smoking (CS) on serum uric acid (UA) levels quantitatively before and after smoking cessation among people with MS (pwMS). Additionally, a possible correlation between UA levels and both disability progression and disease severity was also investigated. A retrospective cross-sectional study was conducted using the Nottingham University Hospitals MS Clinics database. It involves 127 people with definite MS recorded when reporting the latest smoking status and the clinical diagnosis. All necessary demographics and clinical characteristics were collected. We found that smoker pwMS had significantly lower serum UA levels than non-smoker pwMS (p-value = 0.0475), and this reduction was recovered after smoking cessation (p-value = 0.0216). However, the levels of disability or disease severity were not correlated with the levels of serum UA in current smoker pwMS, measured by the expanded disability status scale (EDSS; r = -0.24; p-value = 0.38), multiple sclerosis impact scale 29 (MSIS-29; r = 0.01; p-value = 0.97) and MS severity score (MSSS; r = -0.16; p-value = 0.58), respectively. Our result suggests that the reduction in UA levels is more likely a consequence of oxidative stress triggered by many risk factors, including CS, and could be considered a potential indicator of smoking cessation. In addition, the absence of a correlation between UA levels and disease severity and disability suggests that UA is not an optimal biomarker for disease severity and disability prediction among current smoker, ex-smoker or non-smoker pwMS.
Collapse
Affiliation(s)
- Mohammed Alrouji
- Clinical Neurosciences Group, Shaqra University, Shaqra 11961, Saudi Arabia
- Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK
- Department of Clinical Medical Laboratories, College of Applied Medical Sciences, Shaqra University, Sahqra 11961, Saudi Arabia
| | - Ali Manouchehrinia
- Department of Clinical Neuroscience, Karolinska Institute, 171 77 Solna, Sweden
| | - Jehan Aram
- Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK
| | - Abdulmajeed Alotaibi
- Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK
- College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Riyadh 14611, Saudi Arabia
| | - Sharif Alhajlah
- Clinical Neurosciences Group, Shaqra University, Shaqra 11961, Saudi Arabia
| | - Yasir Almuhanna
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, Shaqra University, Shaqra 11961, Saudi Arabia
| | - Othman Alomeir
- Clinical Neurosciences Group, Shaqra University, Shaqra 11961, Saudi Arabia
- Department of Pharmacy Practice, College of Pharmacy, Shaqra University, Shaqra 11961, Saudi Arabia
| | - Anas Shamsi
- Centre of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman 346, United Arab Emirates
| | - Bruno Gran
- Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK
- Department of Neurology, Nottingham University Hospitals NHS Trust, Nottingham NG7 2UH, UK
| | - Cris S Constantinescu
- Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK
- Department of Neurology, Nottingham University Hospitals NHS Trust, Nottingham NG7 2UH, UK
- Cooper University Hospital, Cooper Neurological Institute, Camden, NJ 08103, USA
| |
Collapse
|
10
|
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.
Collapse
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
| |
Collapse
|
11
|
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.
Collapse
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
| |
Collapse
|
12
|
Hecker M, Bühring J, Fitzner B, Rommer PS, Zettl UK. Genetic, Environmental and Lifestyle Determinants of Accelerated Telomere Attrition as Contributors to Risk and Severity of Multiple Sclerosis. Biomolecules 2021; 11:1510. [PMID: 34680143 PMCID: PMC8533505 DOI: 10.3390/biom11101510] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 10/01/2021] [Accepted: 10/08/2021] [Indexed: 02/06/2023] Open
Abstract
Telomeres are protective structures at the ends of linear chromosomes. Shortened telomere lengths (TL) are an indicator of premature biological aging and have been associated with a wide spectrum of disorders, including multiple sclerosis (MS). MS is a chronic inflammatory, demyelinating and neurodegenerative disease of the central nervous system. The exact cause of MS is still unclear. Here, we provide an overview of genetic, environmental and lifestyle factors that have been described to influence TL and to contribute to susceptibility to MS and possibly disease severity. We show that several early-life factors are linked to both reduced TL and higher risk of MS, e.g., adolescent obesity, lack of physical activity, smoking and vitamin D deficiency. This suggests that the mechanisms underlying the disease are connected to cellular aging and senescence promoted by increased inflammation and oxidative stress. Additional prospective research is needed to clearly define the extent to which lifestyle changes can slow down disease progression and prevent accelerated telomere loss in individual patients. It is also important to further elucidate the interactions between shared determinants of TL and MS. In future, cell type-specific studies and advanced TL measurement methods could help to better understand how telomeres may be causally involved in disease processes and to uncover novel opportunities for improved biomarkers and therapeutic interventions in MS.
Collapse
Affiliation(s)
- Michael Hecker
- Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany; (J.B.); (B.F.); (P.S.R.); (U.K.Z.)
| | - Jan Bühring
- Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany; (J.B.); (B.F.); (P.S.R.); (U.K.Z.)
| | - Brit Fitzner
- Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany; (J.B.); (B.F.); (P.S.R.); (U.K.Z.)
| | - Paulus Stefan Rommer
- Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany; (J.B.); (B.F.); (P.S.R.); (U.K.Z.)
- Department of Neurology, Medical University of Vienna, Währinger Gürtel 18–20, 1090 Vienna, Austria
| | - Uwe Klaus Zettl
- Division of Neuroimmunology, Department of Neurology, Rostock University Medical Center, Gehlsheimer Str. 20, 18147 Rostock, Germany; (J.B.); (B.F.); (P.S.R.); (U.K.Z.)
| |
Collapse
|
13
|
Rodgers J, Friede T, Vonberg FW, Constantinescu CS, Coles A, Chataway J, Duddy M, Emsley H, Ford H, Fisniku L, Galea I, Harrower T, Hobart J, Huseyin H, Kipps CM, Marta M, McDonnell GV, McLean B, Pearson OR, Rog D, Schmierer K, Sharrack B, Straukiene A, Wilson HC, Ford DV, Middleton RM, Nicholas R. The impact of smoking cessation on multiple sclerosis disease progression. Brain 2021; 145:1368-1378. [PMID: 34623418 PMCID: PMC9128822 DOI: 10.1093/brain/awab385] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 09/01/2021] [Accepted: 09/28/2021] [Indexed: 11/16/2022] Open
Abstract
The negative impact of smoking in multiple sclerosis is well established; however, there is much less evidence as to whether smoking cessation is beneficial to progression in multiple sclerosis. Adults with multiple sclerosis registered on the United Kingdom Multiple Sclerosis Register (2011–20) formed this retrospective and prospective cohort study. Primary outcomes were changes in three patient-reported outcomes: normalized Multiple Sclerosis Physical Impact Scale (MSIS-29-Phys), normalized Multiple Sclerosis Walking Scale (MSWS-12) and the Hospital Anxiety and Depression Scale (HADS). Time to event outcomes were clinically significant increases in the patient-reported outcomes. The study included 7983 participants; 4130 (51.7%) of these had ever smoked, of whom 1315 (16.5%) were current smokers and 2815/4130 (68.2%) were former smokers. For all patient-reported outcomes, current smokers at the time of completing their first questionnaire had higher patient-reported outcomes scores indicating higher disability compared to those who had never smoked (∼10 points difference in MSIS-29-Phys and MSWS-12; 1.5–1.8 points for HADS-Anxiety and HADS-Depression). There was no improvement in patient-reported outcomes scores with increasing time since quitting in former smokers. Nine hundred and twenty-three participants formed the prospective parallel group, which demonstrated that MSIS-29-Phys [median (IQR) 5.03 (3.71, 6.34)], MSWS-12 [median (IQR) 5.28 (3.62, 6.94)] and HADS-Depression [median (IQR) 0.71 (0.47, 0.96)] scores worsened over a period of 4 years, whereas HADS-Anxiety remained stable. Smoking status was significant at Year 4; current smokers had higher MSIS-29-Phys and HADS-Anxiety scores [median (IQR) 3.05 (0.22, 5.88) and 1.14 (0.52, 1.76), respectively] while former smokers had a lower MSIS-29-Phys score of −2.91 (−5.03, −0.79). A total of 4642 participants comprised the time to event analysis. Still smoking was associated with a shorter time to worsening event in all patient-reported outcomes (MSIS-29-Phys: n = 4436, P = 0.0013; MSWS-12: n = 3902, P = 0.0061; HADS-Anxiety: n = 4511, P = 0.0017; HADS-Depression: n = 4511, P < 0.0001). Worsening in motor disability (MSIS-29-Phys and MSWS-12) was independent of baseline HADS-Anxiety and HADS-Depression scores. There was no statistically significant difference in the rate of worsening between never and former smokers. When smokers quit, there is a slowing in the rate of motor disability deterioration so that it matches the rate of motor decline in those who have never smoked. This suggests that smoking cessation is beneficial for people with multiple sclerosis.
Collapse
Affiliation(s)
- Jeff Rodgers
- Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK
| | - Tim Friede
- Department of Medical Statistics, University Medical Center Göttingen, Göttingen, Germany
| | - Frederick W Vonberg
- Department of Cellular and Molecular Neuroscience, Imperial College London, W12 0NN, UK
| | - Cris S Constantinescu
- Division of Clinical Neuroscience, University of Nottingham, Nottingham, NG7 2UH, UK
| | - Alasdair Coles
- Cambridge Neuroscience, University of Cambridge, Cambridge, CB2 3EL, UK
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom WC1B 5EH.,National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, W1T 7HA, UK
| | - Martin Duddy
- Neurosciences, Newcastle upon Tyne Hospitals NHS Trust, Newcastle upon Tyne, NE7 7DN, UK
| | - Hedley Emsley
- Lancaster Medical School, Faculty of Health & Medicine, Lancaster University.,Lancaster, UK & Department of Neurology, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, PR1 2HE, UK
| | - Helen Ford
- Centre for Neurosciences, Leeds Teaching Hospitals NHS Trust, Leeds General Infirmary, Great George Street, Leeds, LS1 3EX
| | | | - Ian Galea
- Clinical Neurosciences, Clinical & Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, SO17 1BJ, UK
| | - Timothy Harrower
- Royal Devon and Exeter NHS Trust, Barrack Road, Exeter, EX25DW, UK
| | - Jeremy Hobart
- Plymouth University Peninsula Schools of Medicine and Dentistry, Consultant Neurologist, University Hospitals Plymouth, Room N13 ITTC Building, Plymouth Science Park, Davy Road, Plymouth, Devon, PL6 8BX, UK
| | - Huseyin Huseyin
- Luton and Dunstable University Hospital, Bedfordshire Hospitals NHS Foundation Trust, Lewsey Road, Luton, LU4 0DZ, UK
| | - Christopher M Kipps
- Clinical Neurosciences, Clinical & Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, SO17 1BJ, UK
| | - Monica Marta
- Neurology - Southend University Hospital NHS Foundation Trust, Westcliff-on-Sea SS0 0RY, UK.,Blizard Institute, Royal London Hospital, Barts Health NHS Trust, London, E1 1BB, UK
| | | | - Brendan McLean
- The Royal Cornwall Hospitals NHS Trust, Treliske, Truro TR1 3LJ, UK
| | - Owen R Pearson
- Swansea Bay University Health Board, Swansea, SA6 6NL, UK
| | - David Rog
- Manchester Centre for Clinical Neurosciences, Salford Royal NHS Foundation Trust, Stott Lane, Salford, M6 8HD, UK
| | - Klaus Schmierer
- Blizard Institute, Royal London Hospital, Barts Health NHS Trust, London, E1 1BB, UK.,Clinical Board Medicine (Neuroscience), Barts Health NHS Trust, The Royal London Hospital, London, UK
| | - Basil Sharrack
- Department of Neurology and NIHR Neurosciences Biomedical Research Centre, Sheffield Teaching Hospitals NHS Foundation Trust and University of Sheffield, Sheffield, S10 2JF, UK
| | - Agne Straukiene
- Torbay and South Devon NHS Foundation Trust, Torquay, TQ2 7AA, UK
| | - Heather C Wilson
- National Hospital for Neurology and Neurosurgery, Queen Square, London, WC1H 3BG, UK
| | - David V Ford
- Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK
| | - Rod M Middleton
- Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK
| | - Richard Nicholas
- Population Data Science, Swansea University Medical School, Swansea, SA2 8PP, UK.,Department of Cellular and Molecular Neuroscience, Imperial College London, W12 0NN, UK.,Department of Visual Neuroscience, UCL Institute of Ophthalmology, London, EC1V 9RL, UK
| | | |
Collapse
|
14
|
Alirezaei M, Forouzannia SM, Yarahmadi P, Sahraian MA, Owji M, Bidadian M, Ghadiri F, Naser Moghadasi A. Demographic features, behavioral measures, and clinical factors as predictors of cognitive function in patients with multiple sclerosis. Mult Scler Relat Disord 2021; 49:102758. [PMID: 33567391 DOI: 10.1016/j.msard.2021.102758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 12/12/2020] [Accepted: 12/30/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND One of the most concerning features that involves 40-70% of patients with multiple sclerosis (MS) is cognitive impairment. Moreover, it affects various aspects of patients' life. In this regard, this study was conducted to find independent predictors of cognitive function. METHOD We performed a cross-sectional analysis on 92 patients chosen from MS clinic of Sina hospital, Iran. After completing a general questionnaire of demographic and various clinical features, the included participants (patients with RRMS) underwent neuropsychological assessment using Minimal Assessment of Cognitive function in Multiple Sclerosis (MACFIMS), Expanded disability Status Scale (EDSS), Beck Depression Inventory II (BDI-II), and National American Adult Reading Test (NAART). An un-weighted average of MACFIMS subscales z-scores was reported as cognitive index. In order to find the association between CI and different factors, each variable was entered in a simple regression model first. Then, a univariate multiple regression model was invoked to evaluate the predictors of cognitive index in patients. RESULTS Simple regression for cognitive index of 92 patients (86% female) with a mean age of 33.4±7.6 years old suffering of RRMS for 6.8±4.8 years revealed patients with history of former smoking (p=0.001), sole visual symptoms as the presentation sign of the study (β=-0.341, p=0.001), lower EDSS score (β=-0.299, p=0.005), higher NAART score (β=0.416, p≤0.0001), and college education (p=0.001), had better cognitive function in our study population. Such factors including age, educational status, BDI-II score, EDSS score, and disease duration were fixed and the other significant factors entered once separately and then simultaneously in the univariate multiple linear regression model. It was revealed that former smoking (β=-0.372, p≤0.0001), NAART (β=0.304, p=0.002), and EDSS (β= -0.185, P=0.045) are associated significantly with the cognitive function of patients with multiple sclerosis. CONCLUSION This study demonstrated NAART, as a proxy of premorbid intelligence, history of former smoking, and EDSS score may have effects on cognitive function in MS. Future studies need to be invoked for the evaluation of the causality relation of these factors.
Collapse
Affiliation(s)
- Mohammad Alirezaei
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran
| | - Seyed Mohammad Forouzannia
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran
| | - Pourya Yarahmadi
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran
| | - Mohammad Ali Sahraian
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran
| | - Mahsa Owji
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran
| | - Maryam Bidadian
- Department of psychology, School of humanities, Tarbiat Modares University, Tehran, Iran
| | - Fereshteh Ghadiri
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran
| | - Abdorreza Naser Moghadasi
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran.
| |
Collapse
|
15
|
Esposito S, Sparaco M, Maniscalco GT, Signoriello E, Lanzillo R, Russo C, Carmisciano L, Cepparulo S, Lavorgna L, Gallo A, Trojsi F, Brescia Morra V, Lus G, Tedeschi G, Saccà F, Signori A, Bonavita S. Lifestyle and Mediterranean diet adherence in a cohort of Southern Italian patients with Multiple Sclerosis. Mult Scler Relat Disord 2020; 47:102636. [PMID: 33333418 DOI: 10.1016/j.msard.2020.102636] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 11/16/2020] [Accepted: 11/18/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND/OBJECTIVES Several studies supported the beneficial effects of the Mediterranean diet (MeDi) on chronic diseases. In Multiple Sclerosis (MS), the MeDi might interfere with systemic inflammatory state, gut microbiota, and comorbidities. The Med Diet Score (MDS) estimates the adherence to the MeDi and the cardiovascular (CV) risk. Aims of our study were i) to photograph lifestyle and diet habits of a southern Italy cohort of people with MS (pwMS), and ii) to investigate the impact of the MeDi on MS clinical outcomes. SUBJECTS/METHODS We conducted a multi-center, cross-sectional study, enrolling 435 consecutive consenting pwMS, attending the outpatient clinics for routine follow-up visits. Participants underwent a clinical examination and a 29-item self-administered questionnaire on life and dietary habits. Disease phenotype, Expanded Disability Status Scale (EDSS), MS Severity Score (MSSS), waist circumference (WC), Body Mass Index (BMI), therapies, and comorbidities, were updated. MDS was assessed and correlated with current and retrospective clinical data. RESULTS 75.8% of respondents were interested in nutrition, 72.8% were non-smokers, 52.9% performed physical activity, and 45.6% used food supplements. MDS was higher in pwMS with normal WC (p = 0.031), and inversely correlated with MSSS (p = 0.013) and EDSS (p = 0.012) at survey time. MDS did not correlate with the total number of relapses (before and after diagnosis) (p = 0.372). Metabolic comorbidities were associated with an increased 10-year CV risk (r = 0.85, p = 0.002). CONCLUSION Our findings suggest a putative beneficial effect of the MeDi on WC, MS course and disability. Given the role of chronic systemic inflammation in maintenance of autoimmunity and secondary neurodegeneration, both involved in long-term disability, we may suppose a beneficial effect of the MeDi on MS long-term disability outcomes, probably mediated by a modulation of the gut microbiota and the low-grade chronic systemic inflammation.
Collapse
Affiliation(s)
- S Esposito
- First Division of Neurology, University of Campania "Luigi Vanvitelli", Naples, Italy.
| | - M Sparaco
- Multiple Sclerosis Center, Second Division of Neurology, University of Campania "Luigi Vanvitelli", Naples, Italy.
| | - G T Maniscalco
- Neurological Clinic and Multiple Sclerosis Center, "AORN A. Cardarelli", Naples, Italy
| | - E Signoriello
- Multiple Sclerosis Center, Second Division of Neurology, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - R Lanzillo
- Multiple Sclerosis Center, Department of Neuroscience, Reproductive Sciences and Odontostomatology, "Federico II University", Naples, Italy
| | - C Russo
- Multiple Sclerosis Center, Department of Neuroscience, Reproductive Sciences and Odontostomatology, "Federico II University", Naples, Italy
| | - L Carmisciano
- Department of Health Sciences (DISSAL), Section of Biostatistics, University of Genova, Genova, Italy
| | - S Cepparulo
- Multiple Sclerosis Center, Second Division of Neurology, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - L Lavorgna
- First Division of Neurology, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - A Gallo
- First Division of Neurology, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - F Trojsi
- First Division of Neurology, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - V Brescia Morra
- Multiple Sclerosis Center, Department of Neuroscience, Reproductive Sciences and Odontostomatology, "Federico II University", Naples, Italy
| | - G Lus
- Multiple Sclerosis Center, Second Division of Neurology, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - G Tedeschi
- First Division of Neurology, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - F Saccà
- Multiple Sclerosis Center, Department of Neuroscience, Reproductive Sciences and Odontostomatology, "Federico II University", Naples, Italy
| | - A Signori
- Department of Health Sciences (DISSAL), Section of Biostatistics, University of Genova, Genova, Italy
| | - S Bonavita
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| |
Collapse
|
16
|
Nishanth K, Tariq E, Nzvere FP, Miqdad M, Cancarevic I. Role of Smoking in the Pathogenesis of Multiple Sclerosis: A Review Article. Cureus 2020; 12:e9564. [PMID: 32905534 PMCID: PMC7473606 DOI: 10.7759/cureus.9564] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 08/05/2020] [Indexed: 11/06/2022] Open
Abstract
Multiple sclerosis (MS) is a complex and unpredictable neurological condition. It is the most commonly seen autoimmune disorder. The incidence of disease and its prevalence are growing worldwide. Early identification of the disease and accurate diagnosis is important to prevent further complications and disability. The etiology remains unclear, and it is believed that complex gene-environment interactions play an essential role. Genetic predisposition only describes a portion of the disease risk, whereas lifestyle and environmental factors are significant contributors. Smoking was identified as an important risk factor for MS. The main objectives of this review were to examine the underlying mechanisms of immune dysregulation in the development of MS, explore the association between smoking and MS, and identify other genetic and environmental factors that alter the risk of developing the disease. We searched PubMed for articles relevant to the study topic published between 2000 and 2020 using the search terms "multiple sclerosis," "cigarette smoking," "risk factors," and, "epigenetics." Studies reveal a marked association between smoking and the risk of MS. Unlike genetic risk factors, many lifestyles and environmental factors can be adjusted, with potential for prevention, particularly for people at the highest risk, such as families of individuals with MS.
Collapse
Affiliation(s)
- Katukuri Nishanth
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Ezza Tariq
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
- Internal Medicine, Nishtar Medical College, Multan, PAK
| | - Farirai P Nzvere
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Mohammed Miqdad
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| | - Ivan Cancarevic
- Internal Medicine, California Institute of Behavioral Neurosciences & Psychology, Fairfield, USA
| |
Collapse
|
17
|
Cortese M, Munger KL, Martínez-Lapiscina EH, Barro C, Edan G, Freedman MS, Hartung HP, Montalbán X, Foley FW, Penner IK, Hemmer B, Fox EJ, Schippling S, Wicklein EM, Kappos L, Kuhle J, Ascherio A. Vitamin D, smoking, EBV, and long-term cognitive performance in MS: 11-year follow-up of BENEFIT. Neurology 2020; 94:e1950-e1960. [PMID: 32300060 DOI: 10.1212/wnl.0000000000009371] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2019] [Accepted: 12/02/2019] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE To investigate whether vitamin D, smoking, and anti-Epstein-Barr virus (EBV) antibody concentrations predict long-term cognitive status and neuroaxonal injury in multiple sclerosis (MS). METHODS This study was conducted among 278 patients with clinically isolated syndrome who participated in the clinical trial BENEFIT (Betaferon/Betaseron in Newly Emerging Multiple Sclerosis for Initial Treatment) and completed the 11-year assessment (BENEFIT-11). We measured serum 25-hydroxyvitamin-D (25(OH)D), cotinine (smoking biomarker), and anti-Epstein-Barr virus nuclear antigen 1 (EBNA-1) immunoglobulin G (IgG) at baseline and at months 6, 12, and 24 and examined whether these biomarkers contributed to predict Paced Auditory Serial Addition Test (PASAT)-3 scores and serum neurofilament light chain (NfL) concentrations at 11 years. Linear and logistic regression models were adjusted for sex, baseline age, treatment allocation, steroid treatment, multifocal symptoms, T2 lesions, and body mass index. RESULTS Higher vitamin D predicted better, whereas smoking predicted worse cognitive performance. A 50-nmol/L higher mean 25(OH)D in the first 2 years was related to 65% lower odds of poorer PASAT performance at year 11 (95% confidence intervals [95% CIs]: 0.14-0.89). Standardized PASAT scores were lower in smokers and heavy smokers than nonsmokers (p trend = 0.026). Baseline anti-EBNA-1 IgG levels did not predict cognitive performance (p trend = 0.88). Associations with NfL concentrations at year 11 corroborated these findings-a 50-nmol/L higher mean 25(OH)D in the first 2 years was associated with 20% lower NfL (95% CI: -36% to 0%), whereas smokers had 20% higher NfL levels than nonsmokers (95% CI: 2%-40%). Anti-EBNA-1 antibodies were not associated with NfL. CONCLUSIONS Lower vitamin D and smoking after clinical onset predicted worse long-term cognitive function and neuronal integrity in patients with MS.
Collapse
Affiliation(s)
- Marianna Cortese
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
| | - Kassandra L Munger
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Elena H Martínez-Lapiscina
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Christian Barro
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Gilles Edan
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Mark S Freedman
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Hans-Peter Hartung
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Xavier Montalbán
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Frederick W Foley
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Iris Katharina Penner
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Bernhard Hemmer
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Edward J Fox
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Sven Schippling
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Eva-Maria Wicklein
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Ludwig Kappos
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Jens Kuhle
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Alberto Ascherio
- From the Department of Nutrition (M.C., K.L.M, A.A.), Harvard T.H. Chan School of Public Health, Boston, MA; Department of Global Public Health and Primary Care (M.C.), University of Bergen, Bergen, Norway; Department of Neurology (E.H.M.-L.), Institut d'Investigacions Biomèdiques August Pi Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain; Departments of Medicine, Biomedicine and Clinical Research (C.B., L.K., J.K.), Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland; CHU Hôpital Pontchaillou (G.E.), Rennes, France; University of Ottawa and Ottawa Hospital Research Institute (M.S.F.), Ottawa, Canada; Department of Neurology (H.-P.H.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf, Germany; St. Michael's Hospital (X.M.), University of Toronto, Canada and Multiple Sclerosis Center of Catalonia (Cemcat) (X.M.), Vall d'Hebron University Hospital, Barcelona, Spain; Ferkauf Graduate School of Psychology (F.W.F.), Yeshiva University, New York, NY; Department of Neurology (I.K.P.), Medical Faculty, Heinrich-Heine Universität, Düsseldorf and COGITO Center for Applied Neurocognition and Neuropsychological Research (I.K.P.), Düsseldorf, Germany; Technical University of Munich (B.H.), School of Medicine and Munich Cluster for Systems Neurology (SyNergy) (B.H.), Munich, Germany; Central Texas Neurology Consultants (E.J.F.), Round Rock, TX; Neuroimmunology and Multiple Sclerosis Research (S.S.), Department of Neurology, University Hospital Zurich, University of Zurich and Center for Neuroscience Zurich (S.S.), Federal Institute of Technology (ETH), Zurich, Switzerland; Bayer AG (E.-M.W.), Berlin, Germany; Department of Epidemiology (A.A.), Harvard T.H. Chan School of Public Health, Boston, MA and Channing Division of Network Medicine (A.A.); and Department of Medicine (A.A.), Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | | |
Collapse
|
18
|
Geraldes R, Juryńczyk M, Dos Passos G, Prichler A, Chung K, Hagens M, Ruggieri S, Huerga E, Sastre-Garriga J, Enzinger C, Chard DT, Barkhof F, Gasperini C, Rovira A, DeLuca GC, Palace J. Distinct influence of different vascular risk factors on white matter brain lesions in multiple sclerosis. J Neurol Neurosurg Psychiatry 2020; 91:388-391. [PMID: 32034114 DOI: 10.1136/jnnp-2019-322369] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2019] [Revised: 01/10/2020] [Accepted: 01/15/2020] [Indexed: 11/03/2022]
Abstract
OBJECTIVE To determine if vascular risk factor (VRF), that is, smoking, arterial hypertension (HT), dyslipidaemia and diabetes, have an effect on multiple sclerosis (MS) pathology as measured by MS typical brain lesions, we have compared brain MRIs from patients with MS with and without VRF age-matched and sex-matched. METHODS Brain MRIs from five centres were scored for the presence of Dawson's fingers (DF) and juxtacortical lesions (JCL). A regression model was built to predict the effect of each individual VRF on DF and JCL, considering age and disease duration. RESULTS 92 MS cases without VRF and 106 MS with one or more VRF (80 ever-smokers, 43 hypertensives, 25 dyslipidaemics and 10 diabetics) were included. Ever-smoking associated with a higher burden of DF (Exp(B)=1.29, 95% CI 1.10 to 1.51, p<0.01) and JCL (Exp(B)=1.38, 95% CI 1.21 to 1.57, p<0.01). No other VRF had an impact on DF. Dyslipidaemia associated with increased JCL (Exp(B)=1.30, 95% CI 1.10 to 1.56, p<0.01) but HT did not associate with any of the outcomes. CONCLUSIONS Individual VRF appear to affect MS-specific lesions differently. An increase in MS lesions was mainly seen in smokers; however, this VRF is most likely to be present from onset of MS, and other VRF effects may be partly mitigated by treatment. Our findings support that treating VRF and cessation of smoking may be important in the management of MS.
Collapse
Affiliation(s)
- Ruth Geraldes
- Nuffield Department of Clinical Neurosciences, Oxford University Hospitals NHS Foundation Trust, Oxford, UK.,Neurology, Frimley Health NHS Foundation Trust, Frimley, UK
| | - Maciej Juryńczyk
- Nuffield Department of Clinical Neurosciences, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Giordani Dos Passos
- Nuffield Department of Clinical Neurosciences, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Alexander Prichler
- Department of Neurology, Medical University of Graz, Graz, Österreich, Austria
| | - Karen Chung
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London, London, UK
| | - Marloes Hagens
- Department of Neurology, MS Center, Vrije Universiteit Amsterdam, Amsterdam, Noord-Holland, The Netherlands
| | - Serena Ruggieri
- Centro Sclerosi Multipla, Osp. San Camillo Forlanini, Roma, Italy
| | - Elena Huerga
- Magnetic Resonance Unit. Department of Radiology (IDI), Hospital Vall d\'Hebron, Barcelona, Catalunya, Spain
| | - Jaume Sastre-Garriga
- Multiple Sclerosis Center of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Graz, Österreich, Austria
| | - Declan T Chard
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London, London, UK.,National Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre, London, UK
| | - Frederik Barkhof
- Department of Radiology, VU Medical Center, MS Center, Amsterdam, Netherlands.,Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, UK; and National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK
| | | | - Alex Rovira
- Unitat de Ressonància Magnètica (IDI), Servei de Radiologia, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Gabriele C DeLuca
- Nuffield Department of Clinical Neurosciences, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Jacqueline Palace
- Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford, UK
| | | |
Collapse
|
19
|
Lorefice L, Destro F, Fenu G, Mallus M, Gessa I, Sechi V, Barracciu MA, Frau J, Coghe G, Carmagnini D, Marrosu MG, Saba L, Cocco E. The impact of modifiable risk factors on lesion burden in patients with early multiple sclerosis. Mult Scler Relat Disord 2020; 39:101886. [PMID: 31869600 DOI: 10.1016/j.msard.2019.101886] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 12/04/2019] [Accepted: 12/07/2019] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Some studies have indicated the importance of considering smoking, vitamin D deficiency and obesity as negative prognostic factors for clinical and MRI outcomes in multiple sclerosis (MS). This study aimed to evaluate the possible effects of these modifiable risk factors on brain MRI lesion burden of patients with early MS, also exploring the influence on initial clinical features. METHODS MS patients were enrolled at diagnosis time and examined for smoking, body mass index (BMI), serum level of lipids and 25(OH) vitamin D. Brain MRIs' were acquired and lesion volume assessed by Jim software. Clinical data (disease course, disease duration, and EDSS score) were also collected. RESULTS 64 patients were enrolled, of these 4 (6.2%) had a primary progressive course. Mean age was 39.8 ± 11.1 years and mean EDSS 1.5 ± 1.1. Forty (62.5%) patients were smokers and 40 (62.5%) were overweight (BMI>25). Insufficient levels of vitamin D (<20 ng/mL) were reported in 36 (56.2%) patients, while 24 (37.5%) patients had an altered lipid profile with total cholesterol >200 mg/dl and LDL >100 mg/dl. No association between early clinical features and modifiable risk factors were reported. Multiple regression analysis showed an association between lesion burden and smoking status (p 0.003), while no association was reported with BMI, altered lipid profile and vitamin D insufficiency. CONCLUSIONS Several risk factors may play a role in evolution of MS. Our results show that smoking status, probably due to chronic vascular and neurotoxic effects of the cigarette components, can affect the brain damage from the early stages of MS. No association was observed with the other explored modifiable risk factors, although an effect due to the small sample size cannot be excluded.
Collapse
Affiliation(s)
| | | | - Giuseppe Fenu
- MS Centre, Binaghi Hospital, ATS Sardegna, Cagliari, Italy
| | - Martina Mallus
- MS Centre, Department of Medical Sciences and Public Health, University of Cagliari, Italy
| | - Isabella Gessa
- MS Centre, Binaghi Hospital, ATS Sardegna, Cagliari, Italy
| | - Vincenzo Sechi
- Radiology Unit, Binaghi Hospital, ATS Sardegna, Cagliari, Italy
| | | | - Jessica Frau
- MS Centre, Binaghi Hospital, ATS Sardegna, Cagliari, Italy
| | | | - Daniele Carmagnini
- MS Centre, Department of Medical Sciences and Public Health, University of Cagliari, Italy
| | - Maria Giovanna Marrosu
- MS Centre, Department of Medical Sciences and Public Health, University of Cagliari, Italy
| | - Luca Saba
- Department of Radiology, University of Cagliari, Italy
| | - Eleonora Cocco
- MS Centre, Department of Medical Sciences and Public Health, University of Cagliari, Italy
| |
Collapse
|
20
|
Affiliation(s)
- Mattia Rosso
- Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, Massachusetts
| | - Tanuja Chitnis
- Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, Massachusetts
- Partners Multiple Sclerosis Center, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| |
Collapse
|
21
|
Mohammed EM. Environmental Influencers, MicroRNA, and Multiple Sclerosis. J Cent Nerv Syst Dis 2020; 12:1179573519894955. [PMID: 32009827 PMCID: PMC6971968 DOI: 10.1177/1179573519894955] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Accepted: 11/25/2019] [Indexed: 02/06/2023] Open
Abstract
Multiple sclerosis (MS) is a complex neurological disorder characterized by an aberrant immune system that affects patients' quality of life. Several environmental factors have previously been proposed to associate with MS pathophysiology, including vitamin D deficiency, Epstein-Barr virus (EBV) infection, and cigarette smoking. These factors may influence cellular molecularity, interfering with cellular proliferation, differentiation, and apoptosis. This review argues that small noncoding RNA named microRNA (miRNA) influences these factors' mode of action. Dysregulation in the miRNAs network may deeply impact cellular hemostasis, thereby possibly resulting in MS pathogenicity. This article represents a literature review and an author's theory of how environmental factors may induce dysregulations in the miRNAs network, which could ultimately affect MS pathogenicity.
Collapse
|
22
|
de Carvalho Jennings Pereira WL, Flauzino T, Alfieri DF, Oliveira SR, Kallaur AP, Simão ANC, Lozovoy MAB, Kaimen-Maciel DR, Maes M, Reiche EMV. Immune-inflammatory, metabolic and hormonal biomarkers are associated with the clinical forms and disability progression in patients with multiple sclerosis: A follow-up study. J Neurol Sci 2019; 410:116630. [PMID: 31887671 DOI: 10.1016/j.jns.2019.116630] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 12/05/2019] [Accepted: 12/10/2019] [Indexed: 12/26/2022]
Abstract
The objective of this study was to evaluate the role of immune-inflammatory, metabolic, hormonal, and oxidative stress biomarkers in disability progression (DP) and clinical forms of multiple sclerosis (MS). The study evaluated 140 MS patients at admission (T0), and eight (T8) and 16 months (T16) later. The Expanded Disability Status Score (EDSS) and biomarkers were determined at T0, T8, and T16. A DP index (DPI) defined as an increase of ≥1 rank on the EDSS score indicated that 39.3% of the patients had significant DP. Quantification of the ordinal EDSS rank score was performed using optimal scaling methods. Categorical regression showed that the quantitative T16 EDSS score was predicted by T0 homocysteine (Hcy), T0 parathormone (PTH), T0 advanced oxidized protein products (AOPP) (all positively), low T0 vitamin D (<18.3 ng/mL) and T8 folic acid (<5 ng/mL) concentrations while higher T8 calcium concentrations (≥8.90 mg/dL) had protective effects. Linear Mixed Models showed that the change in EDSS from T0 to T16 was significantly associated with changes in IL-17 (positively) and IL-4 (inversely) independently from the significant effects of clinical MS forms, treatment modalities, smoking, age and systemic arterial hypertension. Hcy, PTH, IL-6, and IL-4 were positively associated with progressive versus relapsing-remitting MS while 25(OH)D was inversely associated. In conclusion, the ordinal EDSS scale is an adequate instrument to assess DP after category value estestimation. Aberrations in immune-inflammatory, metabolic and hormonal biomarkers are associated with DP and with the progressive form of MS.
Collapse
Affiliation(s)
- Wildéa Lice de Carvalho Jennings Pereira
- Laboratory of Applied Immunology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil; Outpatient Clinic for Neurology, University Hospital, State University of Londrina, Londrina, Paraná, Brazil
| | - Tamires Flauzino
- Laboratory of Applied Immunology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil
| | - Daniela Frizon Alfieri
- Laboratory of Applied Immunology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil
| | - Sayonara Rangel Oliveira
- Laboratory of Applied Immunology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil; Department of Pathology, Clinical Analysis and Toxicology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil
| | - Ana Paula Kallaur
- Laboratory of Applied Immunology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil
| | - Andrea Name Colado Simão
- Laboratory of Applied Immunology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil; Department of Pathology, Clinical Analysis and Toxicology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil
| | - Marcell Alysson Batisti Lozovoy
- Laboratory of Applied Immunology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil; Department of Pathology, Clinical Analysis and Toxicology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil
| | - Damacio Ramón Kaimen-Maciel
- Outpatient Clinic for Neurology, University Hospital, State University of Londrina, Londrina, Paraná, Brazil; Clinical Neurology, Santa Casa de Misericórdia de Londrina, Londrina, Paraná, Brazil
| | - Michael Maes
- IMPACT Strategic Research Centre, School of Medicine, Deakin University, Geelong, Victoria, Australia; Department of Psychiatry, King Chulalongkorn Memorial Hospital, Chulalongkorn, Bangkok, Thailand
| | - Edna Maria Vissoci Reiche
- Laboratory of Applied Immunology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil; Department of Pathology, Clinical Analysis and Toxicology, Health Sciences Center, University of Londrina, Londrina, Paraná, Brazil.
| |
Collapse
|
23
|
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.
Collapse
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
| |
Collapse
|
24
|
Jakimovski D, Guan Y, Ramanathan M, Weinstock-Guttman B, Zivadinov R. Lifestyle-based modifiable risk factors in multiple sclerosis: review of experimental and clinical findings. Neurodegener Dis Manag 2019; 9:149-172. [PMID: 31116081 DOI: 10.2217/nmt-2018-0046] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Multiple sclerosis (MS) is a lifelong inflammatory and neurodegenerative disease influenced by multiple lifestyle-based factors. We provide a narrative review of the effects of modifiable risk factors that are identified as being associated with risk to develop MS and/or influencing the future clinical disease outcomes. The emerging data regarding the beneficial effects of diet modifications and exercise are further reviewed. In contrast, obesity and comorbid cardiovascular diseases are associated with increased MS susceptibility and worse disease progression. In addition, the potential influence of smoking, coffee and alcohol consumption on MS onset and disability development are discussed. Successful management of the modifiable risk factors may lead to better long-term outcomes and improve patients' quality of life. MS specialists should participate in educating and facilitating lifestyle-based modifications as part of their neurological consults.
Collapse
Affiliation(s)
- Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine & Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA
| | - Yi Guan
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine & Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14214, USA
| | - Bianca Weinstock-Guttman
- Jacobs MS Center, Department of Neurology, Jacobs School of Medicine & Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine & Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14203, USA.,Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY 14203, USA
| |
Collapse
|
25
|
Jakimovski D, Topolski M, Genovese AV, Weinstock-Guttman B, Zivadinov R. Vascular aspects of multiple sclerosis: emphasis on perfusion and cardiovascular comorbidities. Expert Rev Neurother 2019; 19:445-458. [PMID: 31003583 DOI: 10.1080/14737175.2019.1610394] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
INTRODUCTION Multiple sclerosis (MS) is a chronic inflammatory, demyelinating, and neurodegenerative disease of the central nervous system. Over the last two decades, more favorable MS long-term outcomes have contributed toward increase in prevalence of the aged MS population. Emergence of age-associated pathology, such as cardiovascular diseases, may interact with the MS pathophysiology and further contribute to disease progression. Areas covered: This review summarizes the cardiovascular involvement in MS pathology, its disease activity, and progression. The cardiovascular health, the presence of various cardiovascular diseases, and their effect on MS cognitive performance are further explored. In similar fashion, the emerging evidence of a higher incidence of extracranial arterial pathology and its association with brain MS pathology are discussed. Finally, the authors outline the methodologies behind specific perfusion magnetic resonance imaging (MRI) and ultrasound Doppler techniques, which allow measurement of disease-specific and age-specific vascular changes in the aging population and MS patients. Expert opinion: Cardiovascular pathology significantly contributes to worse clinical and MRI-derived disease outcomes in MS. Global and regional cerebral hypoperfusion may be associated with poorer physical and cognitive performance. Prevention, improved detection, and treatment of the cardiovascular-based pathology may improve the overall long-term health of MS patients.
Collapse
Affiliation(s)
- Dejan Jakimovski
- a 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.,b 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
| | - Matthew Topolski
- a 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
| | - Antonia Valentina Genovese
- a 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.,c Institute of Radiology, Department of Clinical Surgical Diagnostic and Pediatric Sciences , University of Pavia , Pavia , Italy
| | - Bianca Weinstock-Guttman
- b 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
- a 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.,b 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.,d Center for Biomedical Imaging at Clinical Translational Science Institute , University at Buffalo, State University of New York , Buffalo , NY , USA
| |
Collapse
|
26
|
Lifestyle and Environmental Factors in Multiple Sclerosis. Cold Spring Harb Perspect Med 2019; 9:cshperspect.a028944. [PMID: 29735578 DOI: 10.1101/cshperspect.a028944] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Lifestyle and environmental factors potently influence the risk of multiple sclerosis (MS), because genetic predisposition only explains a fraction of the risk increase. There is strong evidence for associations of Epstein-Barr virus (EBV) infection, smoking, sun exposure/vitamin D, and adolescent obesity to risk of MS. There is also circumstantial evidence on organic solvents and shift work, all associate with greater risk, although certain factors like nicotine, alcohol, and a high coffee consumption associate with a reduced risk. Certain factors, smoking, EBV infection, and obesity interact with human leukocyte antigen (HLA) risk genes, arguing for a pathogenic pathway involving adaptive immunity. There is a potential for prevention, in particular for people at greater risk such as relatives of individuals with MS. All of the described factors for MS may influence adaptive and/or innate immunity, as has been argued for MS risk gene variants.
Collapse
|
27
|
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: 24] [Impact Index Per Article: 4.8] [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.
Collapse
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
| |
Collapse
|
28
|
Rosso M, Kimbrough DJ, Gonzalez CT, Glanz BI, Healy BC, Rocca MA, Filippi M, Weiner H, Chitnis T. Cross-sectional study of smoking exposure: no differential effect on OCT metrics in a cohort of MS patients. Mult Scler J Exp Transl Clin 2019; 5:2055217319828400. [PMID: 30828461 PMCID: PMC6390224 DOI: 10.1177/2055217319828400] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 12/31/2018] [Indexed: 01/29/2023] Open
Abstract
Background Optical coherence tomography (OCT) provides quantitative measures of retinal
layer thickness. Cigarette smoking is a risk factor for multiple sclerosis
(MS) onset and disease severity: its effects on OCT metrics have not been
assessed. Objective The objective of this study was to assess the effect of smoking history on
retinal nerve fiber layer (RNFL) and ganglion cell-inner plexiform (GCIP) of
MS patients by OCT. Methods 112 MS patients were recruited from the Brigham and Women’s Hospital.
Spectralis OCT scans were acquired to measure GCIP, peripapillary RNFL, and
total macular volume. Multivariable linear mixed effects regression model
assessed RNFL and GCIP change with fixed effects for smoking history while
adjusting for optic neuritis eye status, age, disease duration, sex,
baseline EDSS, and disease modifying therapies (DMTs). Results Smoking histories were available for 102 patients: 46 (45.10%) had a history
of smoking cigarettes and 56 (54.90%) never smoked. No statistically
significant differences were found between ever-smokers and never-smokers
with respect to GCIP, RNFL, and macular volume. Conclusion Our study shows no significant difference in retinal thickness between
ever-smokers and never-smokers. If confirmed, this result suggests
mechanistic differences between the retina and other central nervous system
(CNS) compartments in response to smoking and should be noted when
considering OCT as a surrogate measure of CNS activity.
Collapse
Affiliation(s)
- Mattia Rosso
- Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, MA, USA
| | - Dorlan J Kimbrough
- Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, MA, USA
| | - Cindy T Gonzalez
- Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, MA, USA
| | - Bonnie I Glanz
- Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, MA, USA
| | - Brian C Healy
- Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, MA, USA
| | - Maria Assunta Rocca
- Institute of Experimental Neurology, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Institute of Experimental Neurology, Vita-Salute San Raffaele University, Milan, Italy
| | - Howard Weiner
- Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Tanuja Chitnis
- Ann Romney Center for Neurologic Disease, Harvard Medical School, Boston, MA, USA.,Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| |
Collapse
|
29
|
Hemond CC, Healy BC, Tauhid S, Mazzola MA, Quintana FJ, Gandhi R, Weiner HL, Bakshi R. MRI phenotypes in MS: Longitudinal changes and miRNA signatures. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2019; 6:e530. [PMID: 30800720 PMCID: PMC6384020 DOI: 10.1212/nxi.0000000000000530] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Accepted: 11/09/2018] [Indexed: 12/20/2022]
Abstract
Objective To classify and immunologically characterize persons with MS based on brain lesions and atrophy and their associated microRNA profiles. Methods Cerebral T2-hyperintense lesion volume (T2LV) and brain parenchymal fraction (BPF) were quantified and used to define MRI phenotypes as follows: type I: low T2LV, low atrophy; type II: high T2LV, low atrophy; type III: low T2LV, high atrophy; type IV: high T2LV, high atrophy, in a large cross-sectional cohort (n = 1,088) and a subset with 5-year lngitudinal follow-up (n = 153). Serum miRNAs were assessed on a third MS cohort with 2-year MRI phenotype stability (n = 98). Results One-third of the patients had lesion-atrophy dissociation (types II or III) in both the cross-sectional and longitudinal cohorts. At 5 years, all phenotypes had progressive atrophy (p < 0.001), disproportionally in type II (BPF -2.28%). Only type IV worsened in physical disability. Types I and II showed a 5-year MRI phenotype conversion rate of 33% and 46%, whereas III and IV had >90% stability. Type II switched primarily to IV (91%); type I switched primarily to II (47%) or III (37%). Baseline higher age (p = 0.006) and lower BPF (p < 0.001) predicted 5-year phenotype conversion. Each MRI phenotype demonstrated an miRNA signature whose underlying biology implicates blood-brain barrier pathology: hsa.miR.22.3p, hsa.miR.361.5p, and hsa.miR.345.5p were the most valid differentiators of MRI phenotypes. Conclusions MRI-defined MS phenotypes show high conversion rates characterized by the continuation of either predominant neurodegeneration or inflammation and support the partial independence of these 2 measures. MicroRNA signatures of these phenotypes suggest a role for blood-brain barrier integrity.
Collapse
Affiliation(s)
- Christopher C Hemond
- Departments of Neurology (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.) and Department of Radiology (R.B.); Brigham and Women's Hospital (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Laboratory for Neuroimaging Research (C.C.H., S.T., R.H.); Partners Multiple Sclerosis Center (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Ann Romney Center for Neurologic Diseases (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); and Harvard Medical School (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W., R.B.), Boston, MA
| | - Brian C Healy
- Departments of Neurology (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.) and Department of Radiology (R.B.); Brigham and Women's Hospital (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Laboratory for Neuroimaging Research (C.C.H., S.T., R.H.); Partners Multiple Sclerosis Center (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Ann Romney Center for Neurologic Diseases (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); and Harvard Medical School (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W., R.B.), Boston, MA
| | - Shahamat Tauhid
- Departments of Neurology (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.) and Department of Radiology (R.B.); Brigham and Women's Hospital (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Laboratory for Neuroimaging Research (C.C.H., S.T., R.H.); Partners Multiple Sclerosis Center (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Ann Romney Center for Neurologic Diseases (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); and Harvard Medical School (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W., R.B.), Boston, MA
| | - Maria A Mazzola
- Departments of Neurology (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.) and Department of Radiology (R.B.); Brigham and Women's Hospital (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Laboratory for Neuroimaging Research (C.C.H., S.T., R.H.); Partners Multiple Sclerosis Center (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Ann Romney Center for Neurologic Diseases (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); and Harvard Medical School (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W., R.B.), Boston, MA
| | - Francisco J Quintana
- Departments of Neurology (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.) and Department of Radiology (R.B.); Brigham and Women's Hospital (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Laboratory for Neuroimaging Research (C.C.H., S.T., R.H.); Partners Multiple Sclerosis Center (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Ann Romney Center for Neurologic Diseases (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); and Harvard Medical School (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W., R.B.), Boston, MA
| | - Roopali Gandhi
- Departments of Neurology (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.) and Department of Radiology (R.B.); Brigham and Women's Hospital (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Laboratory for Neuroimaging Research (C.C.H., S.T., R.H.); Partners Multiple Sclerosis Center (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Ann Romney Center for Neurologic Diseases (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); and Harvard Medical School (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W., R.B.), Boston, MA
| | - Howard L Weiner
- Departments of Neurology (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.) and Department of Radiology (R.B.); Brigham and Women's Hospital (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Laboratory for Neuroimaging Research (C.C.H., S.T., R.H.); Partners Multiple Sclerosis Center (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Ann Romney Center for Neurologic Diseases (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); and Harvard Medical School (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W., R.B.), Boston, MA
| | - Rohit Bakshi
- Departments of Neurology (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.) and Department of Radiology (R.B.); Brigham and Women's Hospital (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Laboratory for Neuroimaging Research (C.C.H., S.T., R.H.); Partners Multiple Sclerosis Center (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); Ann Romney Center for Neurologic Diseases (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W, R.B.); and Harvard Medical School (C.C.H., B.C.H., S.T., M.A.M., F.J.Q., R.G., H.L.W., R.B.), Boston, MA
| |
Collapse
|
30
|
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.
Collapse
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.
| |
Collapse
|
31
|
Wang Z, Xie J, Wu C, Xiao G. Correlation Between Smoking and Passive Smoking with Multiple Sclerosis and the Underlying Molecular Mechanisms. Med Sci Monit 2019; 25:893-902. [PMID: 30703074 PMCID: PMC6367889 DOI: 10.12659/msm.912863] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
Multiple sclerosis (MS) is a chronic immune-mediated disease of the spinal cord and brain. Many studies have shown that smoking and passive smoking are key environmental risk factors for MS. Here, we provide an overview of the human leukocyte antigen (HLA) gene studies on smoking and MS risk, and we discuss recent studies on between epigenetics and smoking-induced MS. In addition, in this review we also summarize current research advances in biological pathways and smoking-induced MS. This review provides an overview of studies on the association between smoking, passive smoking, and MS susceptibility, and the underlying molecular mechanism.
Collapse
Affiliation(s)
- Zhaowei Wang
- Department of Neurology, Shaoxing People's Hospital (Shaoxing Hospital of Zhejiang University), Shaoxing, Zhejiang, China (mainland)
| | - Jianpin Xie
- Department of Neurology, Shaoxing People's Hospital (Shaoxing Hospital of Zhejiang University), Shaoxing, Zhejiang, China (mainland)
| | - Chenglong Wu
- Department of Neurology, Shaoxing People's Hospital (Shaoxing Hospital of Zhejiang University), Shaoxing, Zhejiang, China (mainland)
| | - Guirong Xiao
- Department of Neurology, Shaoxing People's Hospital (Shaoxing Hospital of Zhejiang University), Shaoxing, Zhejiang, China (mainland)
| |
Collapse
|
32
|
Ivashynka A, Copetti M, Naldi P, D'Alfonso S, Leone MA. The Impact of Lifetime Alcohol and Cigarette Smoking Loads on Multiple Sclerosis Severity. Front Neurol 2019; 10:866. [PMID: 31456737 PMCID: PMC6700269 DOI: 10.3389/fneur.2019.00866] [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: 02/13/2019] [Accepted: 07/26/2019] [Indexed: 12/20/2022] Open
Abstract
Background: The association between lifestyle factors and Multiple Sclerosis (MS) disease severity and progression has been investigated to a lesser extent compared with susceptibility to the disease. Objective: We aimed to assess the impact of lifetime alcohol and cigarette smoking load on MS severity. Methods: Design: a cross-sectional study. Three hundred fifty-one patients consecutively admitted to the Department of Neurology were asked to complete the "Questionnaire of Lifestyle" (part of the European Prospective Investigation into Cancer and Nutrition project). An estimation of the cumulative lifetime cigarette smoking and alcohol load was calculated as the weighted sum of the mean number of cigarettes smoked and standard alcoholic drinks consumed per day at different ages. The measure of exposure was expressed in terms of pack-year and drink-year. Disease severity was estimated by the Multiple Sclerosis Severity Score (MSSS). Logistic regression analyses were performed using MSSS (first tertile vs. third tertile) as the outcome. Results: The median MSSS was higher (3.2 vs. 2.3, p = 0.002) in ever- vs. never-smokers, but we did not find a difference between ever- and never-drinkers (2.7 vs. 2.8, p = ns). Ever-smokers were almost twice as likely to fall in the upper MSSS tertile than never-smokers. Ever-drinkers did not show a statistically significant association between alcohol intake and MS severity. The risk of falling in the worst MSSS tertile for smokers was 10.81 (2.0-58.48; p < 0.01) if they were never-drinkers, whereas it was only 1.65 (0.89-3.03, p = 0.11) if they were also drinkers. On the other side, the risk of falling in the worst MSSS tertile for drinkers did not change as much, whether they also were smokers (0.46; 0.13-1.65; p = 0.23) or not (1.49; 0.55-4.04, p = 0.43). Conclusions: Cigarette smoking, unlike alcohol consumption, is associated with MS severity. Alcohol consumption may attenuate the effect of smoking on disease severity, acting as an effect modifier. The biological background of this effect is unknown. The limitations of our study are mostly due to its cross-sectional design.
Collapse
Affiliation(s)
- Andrei Ivashynka
- Department of Health Sciences, University of Eastern Piedmont, Novara, Italy
- Neurology Unit, Department of Medical Sciences, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
- *Correspondence: Andrei Ivashynka
| | - Massimiliano Copetti
- Unit of Biostatistics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Paola Naldi
- Department of Neurology, University Hospital “Maggiore della Carità”, Novara, Italy
| | - Sandra D'Alfonso
- Department of Health Sciences, University of Eastern Piedmont, Novara, Italy
- Interdisciplinary Research Center of Autoimmune Diseases, University of Eastern Piedmont, Novara, Italy
| | - Maurizio A. Leone
- Neurology Unit, Department of Medical Sciences, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
- Interdisciplinary Research Center of Autoimmune Diseases, University of Eastern Piedmont, Novara, Italy
| |
Collapse
|
33
|
Assessing the burden of vascular risk factors on brain atrophy in multiple sclerosis: A case- control MRI study. Mult Scler Relat Disord 2019; 27:74-78. [DOI: 10.1016/j.msard.2018.10.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Revised: 10/10/2018] [Accepted: 10/14/2018] [Indexed: 11/23/2022]
|
34
|
Tadić D, Đajić V, Grgić S, Miljković S. The prevalence of smoking and its impact on disability in multiple sclerosis. SCRIPTA MEDICA 2019. [DOI: 10.5937/scriptamed50-21828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
|
35
|
Zulfiqar M, Qeadan F, Ikram A, Farooqui M, Richardson SP, Calder CS, Quadri SA, Mathur P, Ford C, O Gutierrez S, Liera E, Snow H, N Gonzalez J, Zafar A. Intracerebral Hemorrhage in Multiple Sclerosis: A Retrospective Cohort Study. J Stroke Cerebrovasc Dis 2018; 28:267-275. [PMID: 30385221 DOI: 10.1016/j.jstrokecerebrovasdis.2018.09.050] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2018] [Revised: 09/21/2018] [Accepted: 09/27/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND To identify the vascular risk factors associated with the occurrence of intracerebral hemorrhage (ICH) in Multiple Sclerosis (MS) patients. METHODS This is an observational, retrospective cohort study using the nationwide electronic medical records (EMR) database. Patients with the diagnosis of MS were extracted from inpatient and outpatient EMR using the international classification of diseases, ninth/tenth revisions, clinical modification codes. We excluded patients younger than 18 years, and those where gender was not specified. Patients were further stratified based on their demographics, risk factors, medications, and comorbidities. Tobacco, diabetes, hypertension, and alcohol were the predicting variables; antiplatelet medication, and anticoagulant agents were the primary exposures for the development of ICH. A validated diagnosis code algorithm defined the diagnosis of ICH. Multivariable logistic regression models were utilized to assess the risk of ICH in MS patients. RESULTS Of the total 57,099 MS patients (women: 75%, n = 41,517), 107 (.19%) sustained an ICH. Age (OR = 2.74, CI = 1.13-6.62), use of anticoagulants (OR = 2.15, 95% CI = 1.30-3.56, P = .0028), and history of tobacco exposure (OR = 2.44, CI = 1.37-4.36, P = .0025) were associated with increased risk of ICH. Use of antiplatelet and disease-modifying drugs (DMDs) showed a protective trend against ICH. CONCLUSIONS Tobacco exposure and anticoagulant use were strongly associated with increased risk of ICH in patients with MS. There might be a protective effect that antiplatelet and DMDs have in the pathophysiology of this disease. Further prospective investigations are warranted to establish these associations.
Collapse
Affiliation(s)
- Maryam Zulfiqar
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico
| | - Fares Qeadan
- Clinical and Translational Science Center, University of New Mexico, Albuquerque, New Mexico
| | - Asad Ikram
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico
| | - Mudassir Farooqui
- Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma
| | - Sarah P Richardson
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico
| | | | - Syed A Quadri
- Department of Neurosurgery, California Institute of Neurosciences, Thousand Oaks, California
| | - Puja Mathur
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico
| | - Corey Ford
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico
| | - Santiago O Gutierrez
- Department of Neurology, University of Iowa Hospitals and Clinic, Iowa City, Iowa
| | - Enrique Liera
- Department of Neurology, University of Iowa Hospitals and Clinic, Iowa City, Iowa
| | - Harry Snow
- Clinical and Translational Science Center, University of New Mexico, Albuquerque, New Mexico
| | - Joel N Gonzalez
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico
| | - Atif Zafar
- Department of Neurology, University of New Mexico, Albuquerque, New Mexico.
| |
Collapse
|
36
|
Effects of cigarette smoke on immunity, neuroinflammation and multiple sclerosis. J Neuroimmunol 2018; 329:24-34. [PMID: 30361070 DOI: 10.1016/j.jneuroim.2018.10.004] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2018] [Revised: 09/30/2018] [Accepted: 10/05/2018] [Indexed: 12/18/2022]
Abstract
Cigarette smoking is the most prominent significant cause of death and morbidity. It is recognised as a risk factor for a number of immune mediated, inflammatory diseases including multiple sclerosis (MS). Here, we review the complex immunological effects of smoking on the immune system, which include enhancement of inflammatory responses with a parallel reduction of some immune defences, resulting in an increased susceptibility to infection and a persistent proinflammatory environment. We discuss the effect of smoking on the susceptibility, clinical course, disability, and mortality in MS, the likely benefits of smoking cessation, and the specific immunological effects of smoking in MS. In conclusion, smoking is an important environmental risk factor for MS occurrence and outcome, and it acts in significant part through immunological mechanisms.
Collapse
|
37
|
Jakimovski D, Gandhi S, Paunkoski I, Bergsland N, Hagemeier J, Ramasamy DP, Hojnacki D, Kolb C, Benedict RHB, Weinstock‐Guttman B, Zivadinov R. Hypertension and heart disease are associated with development of brain atrophy in multiple sclerosis: a 5‐year longitudinal study. Eur J Neurol 2018; 26:87-e8. [DOI: 10.1111/ene.13769] [Citation(s) in RCA: 69] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 08/09/2018] [Indexed: 11/26/2022]
Affiliation(s)
- D. Jakimovski
- Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - S. Gandhi
- Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - I. Paunkoski
- Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - N. Bergsland
- Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - J. Hagemeier
- Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - D. 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 NYUSA
| | - D. Hojnacki
- Jacobs Comprehensive MS Treatment and Research Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - C. Kolb
- Jacobs Comprehensive MS Treatment and Research Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - R. H. B. Benedict
- Jacobs Comprehensive MS Treatment and Research Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - B. Weinstock‐Guttman
- Jacobs Comprehensive MS Treatment and Research Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
| | - R. Zivadinov
- Buffalo Neuroimaging Analysis Center Department of Neurology Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NYUSA
- Center for Biomedical Imaging at Clinical Translational Science Institute University at Buffalo State University of New York Buffalo NY USA
| |
Collapse
|
38
|
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.
Collapse
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
| |
Collapse
|
39
|
Heydarpour P, Manouchehrinia A, Beiki O, Mousavi SE, Abdolalizadeh A, -Lakeh MM, Sahraian MA. Smoking and worsening disability in multiple sclerosis: A meta-analysis. Acta Neurol Scand 2018. [PMID: 29542102 DOI: 10.1111/ane.12916] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
OBJECTIVES Multiple sclerosis (MS) is a chronic demyelinating disorder affecting young adults. Environmental factors and lifestyle behaviors are pivotal in MS pathophysiology. Smoking has been considered as an important risk factor in MS. Various recent studies have been conducted to measure the role of smoking on worsening disability in patients with MS, thus we intended to systematically assess effect of smoking on evolution of disability in this study. MATERIALS & METHODS We queried MEDLINE, EMBASE and Cochrane Library with following keywords "Multiple Sclerosis, Smoking, Tobacco Use, Disability" on December 1st 2016. Original articles were included when smoking history was mentioned, disability was measured via expanded disability status scale (EDSS) or multiple sclerosis severity score (MSSS). Studies with insufficient outcome data, non-human, or in other languages than English were excluded. RESULTS Through literature review after duplicate removals, 268 articles were retrieved. A total of 56 articles were screened and 15 articles were assessed for eligibility, finally, eleven articles were included in this systematic review and meta-analysis. Ever smoking was significantly associated with increased EDSS (standardized mean difference (SMD) = 0.15, 95% CI = 0.01-0.28), but had no significant association with risk of reaching EDSS 4 (HR = 1.24, 95% CI = 0.89-1.72) or EDSS 6 (HR = 1.17, 95% CI = 0.88-1.57). Smoking had no effect on MSSS (SMD = 0.14, 95% CI = -0.04-0.32) or T2 lesion volume (SMD = 0.07, 95% CI = -0.08-0.22). CONCLUSIONS This meta-analysis showed smoking increased EDSS, insignificant findings were possibly due to the small number of studies, significant differences in methodologies, and variations in reporting of disability outcomes.
Collapse
Affiliation(s)
- P. Heydarpour
- MS Research Center; Neuroscience Institute; Tehran University of Medical Sciences; Tehran Iran
| | - A. Manouchehrinia
- Department of Clinical Neuroscience; Karolinska Institutet; Stockholm Sweden
| | - O. Beiki
- Department of Clinical Neuroscience; Karolinska Institutet; Stockholm Sweden
- Kermanshah University of Medical Sciences; Kermanshah Iran
| | - S. E. Mousavi
- Social Health Determinants Research Center; Shahrekord University of Medical Sciences; Shahrekord Iran
| | - A. Abdolalizadeh
- MS Research Center; Neuroscience Institute; Tehran University of Medical Sciences; Tehran Iran
| | - M. Moradi -Lakeh
- Department of Community Medicine; Iran University of Medical Sciences; Tehran Iran
| | - M. A. Sahraian
- MS Research Center; Neuroscience Institute; Tehran University of Medical Sciences; Tehran Iran
| |
Collapse
|
40
|
Hussain MS, Tripathi V. Smoking under hypoxic conditions: a potent environmental risk factor for inflammatory and autoimmune diseases. Mil Med Res 2018; 5:11. [PMID: 29598831 PMCID: PMC5877397 DOI: 10.1186/s40779-018-0158-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2017] [Accepted: 03/14/2018] [Indexed: 12/15/2022] Open
Abstract
Autoimmune disease management presents a significant challenge to medical science. Environmental factors potentially increase the risk of developing inflammatory and autoimmune diseases, such as multiple sclerosis, rheumatoid arthritis, and lupus. Among various environmental stresses, cigarette smoke and hypoxia have both been reported to lead to an enhanced risk of inflammatory and autoimmune diseases.In this review, we shed light on all reported mechanisms whereby cigarette smoke and a hypoxic environment can induce inflammatory and autoimmune diseases and discuss how hypoxic conditions influence the cigarette smoke-induced threat of inflammatory and autoimmune disease development.Cigarette smoke and hypoxia both lead to increased oxidative stress and production of reactive oxygen species and other free radicals, which have various effects including the generation of autoreactive pro-inflammatory T cells and autoantibodies, reductions in T regulatory (Treg) cell activity, and enhanced expression of pro-inflammatory mediators [e.g., interleukin-6 (IL-6), interleukin-4 (IL-4) and interleukin-8 (IL-8)]. Accordingly, smoking and hypoxic environments may synergistically act as potent environmental risk factors for inflammatory and autoimmune diseases. To our knowledge, no studies have reported the direct association of cigarette smoke and hypoxic environments with the risk of developing inflammatory and autoimmune diseases.Future studies exploring the risk of autoimmune disease development in smokers at high altitudes, particularly military personnel and mountaineers who are not acclimatized to high-altitude regions, are required to obtain a better understanding of disease risk as well as its management.
Collapse
Affiliation(s)
- Md. Saddam Hussain
- School of Biotechnology, Gautam Buddha University, Greater Noida, Gautam Budh Nagar, Uttar Pradesh 201312 India
| | - Vishwas Tripathi
- School of Biotechnology, Gautam Buddha University, Greater Noida, Gautam Budh Nagar, Uttar Pradesh 201312 India
| |
Collapse
|
41
|
Graetz C, Gröger A, Luessi F, Salmen A, Zöller D, Schultz J, Siller N, Fleischer V, Bellenberg B, Berthele A, Biberacher V, Havla J, Hecker M, Hohlfeld R, Infante-Duarte C, Kirschke JS, Kümpfel T, Linker R, Paul F, Pfeuffer S, Sämann P, Toenges G, Weber F, Zettl UK, Jahn-Eimermacher A, Antony G, Groppa S, Wiendl H, Hemmer B, Mühlau M, Lukas C, Gold R, Lill CM, Zipp F. Association of smoking but not HLA-DRB1*15:01, APOE or body mass index with brain atrophy in early multiple sclerosis. Mult Scler 2018. [PMID: 29532745 DOI: 10.1177/1352458518763541] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
BACKGROUND The course of multiple sclerosis (MS) shows substantial inter-individual variability. The underlying determinants of disease severity likely involve genetic and environmental factors. OBJECTIVE The aim of this study was to assess the impact of APOE and HLA polymorphisms as well as smoking and body mass index (BMI) in the very early MS course. METHODS Untreated patients ( n = 263) with a recent diagnosis of relapsing-remitting (RR) MS or clinically isolated syndrome underwent standardized magnetic resonance imaging (MRI). Genotyping was performed for single-nucleotide polymorphisms (SNPs) rs3135388 tagging the HLA-DRB1*15:01 haplotype and rs7412 (Ɛ2) and rs429358 (Ɛ4) in APOE. Linear regression analyses were applied based on the three SNPs, smoking and BMI as exposures and MRI surrogate markers for disease severity as outcomes. RESULTS Current smoking was associated with reduced gray matter fraction, lower brain parenchymal fraction and increased cerebrospinal fluid fraction in comparison to non-smoking, whereas no effect was observed on white matter fraction. BMI and the SNPs in HLA and APOE were not associated with structural MRI parameters. CONCLUSIONS Smoking may have an unfavorable effect on the gray matter fraction as a potential measure of MS severity already in early MS. These findings may impact patients' counseling upon initial diagnosis of MS.
Collapse
Affiliation(s)
- Christiane Graetz
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Adriane Gröger
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Felix Luessi
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Anke Salmen
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany; Department of Neurology, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Daniela Zöller
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany/Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Janine Schultz
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Nelly Siller
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Vinzenz Fleischer
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Barbara Bellenberg
- Department of Radiology and Nuclear Medicine, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Achim Berthele
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Viola Biberacher
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany/TUM-NIC Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Joachim Havla
- Institute of Clinical Neuroimmunology, Biomedical Center and University Hospital, Ludwig Maximilians University, Munich, Germany
| | - Michael Hecker
- Department of Neurology, University of Rostock, Rostock, Germany
| | - Reinhard Hohlfeld
- Institute of Clinical Neuroimmunology, Biomedical Center and University Hospital, Ludwig Maximilians University, Munich, Germany/Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Carmen Infante-Duarte
- NeuroCure Clinical Research Center, Department of Neurology and Experimental and Clinical Research Center and Max Delbrück Center for Molecular Medicine, Charité-University Medicine Berlin, Berlin, Germany
| | - Jan S Kirschke
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Tania Kümpfel
- Institute of Clinical Neuroimmunology, Biomedical Center and University Hospital, Ludwig Maximilians University, Munich, Germany
| | - Ralf Linker
- Department of Neurology, University Hospital Erlangen, Erlangen, Germany
| | - Friedemann Paul
- NeuroCure Clinical Research Center, Department of Neurology and Experimental and Clinical Research Center and Max Delbrück Center for Molecular Medicine, Charité-University Medicine Berlin, Berlin, Germany
| | - Steffen Pfeuffer
- Department of Neurology, University of Münster, Münster, Germany
| | | | - Gerrit Toenges
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Frank Weber
- Max Planck Institute of Psychiatry, Munich, Germany; Neurological Clinic, Medical Park, Bad Camberg, Germany
| | - Uwe K Zettl
- Department of Neurology, University of Rostock, Rostock, Germany
| | - Antje Jahn-Eimermacher
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany/Darmstadt University of Applied Sciences, Darmstadt, Germany
| | - Gisela Antony
- Institute of Clinical Neuroimmunology, Biomedical Center and University Hospital, Ludwig Maximilians University, Munich, Germany
| | - Sergiu Groppa
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Heinz Wiendl
- Department of Neurology, University of Münster, Münster, Germany
| | - Bernhard Hemmer
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany/Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mark Mühlau
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany/TUM-NIC Neuroimaging Center, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Carsten Lukas
- Department of Radiology and Nuclear Medicine, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Ralf Gold
- Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Christina M Lill
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany/Genetic and Molecular Epidemiology Group, Institute of Neurogenetics, University of Lübeck, Lübeck, Germany
| | - Frauke Zipp
- Department of Neurology and Neuroimaging Center (NIC), Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| |
Collapse
|
42
|
Central vein sign detected by SWI at 3 T MRI as a discriminator between multiple sclerosis and leukoaraiosis. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2018. [DOI: 10.1016/j.ejrnm.2017.09.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
|
43
|
Graetz C, Groppa S, Zipp F, Siller N. Preservation of neuronal function as measured by clinical and MRI endpoints in relapsing-remitting multiple sclerosis: how effective are current treatment strategies? Expert Rev Neurother 2018; 18:203-219. [PMID: 29411688 DOI: 10.1080/14737175.2018.1438190] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
INTRODUCTION Approved medications for relapsing-remitting multiple sclerosis have shown to be effective in terms of their anti-inflammatory potential. However, it is also crucial to evaluate what long-term effects a patient can expect from current MS drugs in terms of preventing neurodegeneration. Here we aim to provide an overview of the current treatment strategies in MS with a specific focus on potential neuroprotective effects. Areas covered: Randomized, double-blind and placebo or referral-drug controlled phase 2a/b and phase 3 trials were examined; non-blinded phase 4 studies (extension studies) were included to provide long-term data, if not otherwise available. Endpoints considered were expanded disability status scale, various neuropsychological tests, percent brain volume change and T1-hypointense lesions as well as multiple sclerosis functional composite, confirmed disease progression, and no evidence of disease activity. Expert commentary: Overall, neuroprotective functions of classical MS therapeutics are not sufficiently investigated, but available data show limited effects. Thus, further research and development in neuroprotection are warranted. When counselling patients, potential long-term beneficial effects should be presented more conservatively.
Collapse
Affiliation(s)
- Christiane Graetz
- a Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn2) , University Medical Center of the Johannes Gutenberg University Mainz , Mainz , Germany
| | - Sergiu Groppa
- a Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn2) , University Medical Center of the Johannes Gutenberg University Mainz , Mainz , Germany
| | - Frauke Zipp
- a Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn2) , University Medical Center of the Johannes Gutenberg University Mainz , Mainz , Germany
| | - Nelly Siller
- a Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn2) , University Medical Center of the Johannes Gutenberg University Mainz , Mainz , Germany
| |
Collapse
|
44
|
Hubbard EA, Motl RW, Fernhall B. Sedentary Behavior and Blood Pressure in Patients with Multiple Sclerosis. Int J MS Care 2018; 20:1-8. [PMID: 29507537 DOI: 10.7224/1537-2073.2016-021] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background Sedentary behavior is a pervasive public health concern in the general population. To date, little is known regarding the possible health risks associated with sedentary behavior in patients with multiple sclerosis (MS), although this population has increased risks of comorbidities such as hypertension. Methods This cross-sectional study examined the association between sedentary behavior and blood pressure (BP) in 31 patients with MS and 31 matched controls. Self-reported sitting time, one form of sedentary behavior, was measured using the International Physical Activity Questionnaire. Using an automated oscillometric monitor, systolic BP, diastolic BP, and mean arterial pressure were measured in the supine position after 10 minutes of rest lying down in a quiet room. Results There were significant correlations between International Physical Activity Questionnaire-measured sitting time and systolic BP (r = 0.365, P = .044, 95% CI, 0.013-0.636), diastolic BP (r = 0.382, P = .034, 95% CI, 0.032-0.648), and mean arterial pressure (r = 0.425, P = .017, 95% CI, 0.084-0.677) in patients with MS but not in controls (P > .05). The associations in patients with MS were unchanged even after adjusting for body mass index in linear regression analyses. Conclusions This study identified a significant association between sitting time and BP outcomes in patients with MS, supporting the need for additional examinations of sitting time and its possible health consequences in patients with MS.
Collapse
|
45
|
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.
Collapse
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
| |
Collapse
|
46
|
Pichler A, Khalil M, Langkammer C, Pinter D, Ropele S, Fuchs S, Bachmaier G, Enzinger C, Fazekas F. The impact of vascular risk factors on brain volume and lesion load in patients with early multiple sclerosis. Mult Scler 2017; 25:48-54. [PMID: 29027843 DOI: 10.1177/1352458517736149] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
BACKGROUND Vascular risk factors (VRF) in multiple sclerosis (MS) patients have been associated with lower brain volumes. It is currently unknown if this association already exists in early MS and how it develops over time. METHODS We identified 82 patients with clinically isolated syndrome (CIS) ( n = 61) or with early relapsing-remitting MS ( n = 21) and assessed their VRF including arterial hypertension, hyperlipidaemia, diabetes mellitus and smoking. We analysed T2-lesion load, normalized brain volume (NBV), cortical grey (cGMV) and white matter volumes (WMV), thalamic and basal ganglia volumes at baseline and follow-up magnetic resonance imaging (MRI) and assessed the percentage of brain volume change (PBVC) using SIENA. RESULTS Patient mean age was 32.4 (±8.7) years and 54 (65%) were women. Median follow-up period was 42 (29-54) months. In total, 26 patients (31.7%) had one or more VRF (VRF+). At baseline, VRF+ patients had a lower NBV (1530.9 cm3 vs 1591.2 cm3, p = 0.001), a lower cGMV (628.5 cm3 vs 668.6 cm3, p = 0.002) and WMV (752.2 cm3 vs 783.9 cm3, p = 0.009) than VRF-negative patients. Similar results were obtained at follow-up. PBVC was comparable between patients with and without VRF. CONCLUSION VRF are associated with lower brain volume already in early MS but do not lead to increased brain volume loss during 3.5 years of follow-up.
Collapse
Affiliation(s)
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Daniela Pinter
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Siegrid Fuchs
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Gerhard Bachmaier
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Graz, Austria/Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| |
Collapse
|
47
|
Datta G, Colasanti A, Rabiner EA, Gunn RN, Malik O, Ciccarelli O, Nicholas R, Van Vlierberghe E, Van Hecke W, Searle G, Santos-Ribeiro A, Matthews PM. Neuroinflammation and its relationship to changes in brain volume and white matter lesions in multiple sclerosis. Brain 2017; 140:2927-2938. [DOI: 10.1093/brain/awx228] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2017] [Accepted: 07/17/2017] [Indexed: 12/30/2022] Open
|
48
|
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.
Collapse
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
| |
Collapse
|
49
|
Javizian O, Metz LM, Deighton S, Koch MW. Smoking does not influence disability accumulation in primary progressive multiple sclerosis. Eur J Neurol 2017; 24:624-630. [PMID: 28239937 DOI: 10.1111/ene.13262] [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: 10/27/2016] [Accepted: 01/11/2017] [Indexed: 12/01/2022]
Abstract
BACKGROUND AND PURPOSE The modifiable risk factor cigarette smoking has been associated with an increased risk of developing multiple sclerosis (MS) and with disease activity in relapsing-remitting MS. However, less is known about the effect of smoking on disease progression in progressive MS. Here the association between cigarette smoking and disability accumulation in primary progressive MS (PPMS) is investigated. METHODS Kaplan-Meier survival analyses and Cox proportional hazard modelling were used to investigate the influence of cigarette smoking on the risk of reaching Expanded Disability Status Scale (EDSS) 4 and 6 as well as the time from EDSS 4 to 6 in patients with PPMS. RESULTS In all, 416 patients with PPMS and available smoking history were identified. Median time to EDSS 4 was 4 years in ever-smokers and 5 years in never-smokers (P = 0.27), and it was 9 years to EDSS 6 in both ever-smokers and never-smokers (P = 0.48). Smokers were not at increased risk of faster progression to EDSS 4, 6 and from EDSS 4 to 6. Age at disease onset was the strongest risk factor for progression to EDSS 4, 6 and from EDSS 4 to 6. CONCLUSIONS Our investigation of a large and well-characterized population based PPMS cohort suggests that cigarette smoking does not influence disability accumulation in PPMS. Our findings support the idea that PPMS is driven by different underlying pathomechanisms than relapsing-remitting MS.
Collapse
Affiliation(s)
- O Javizian
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - L M Metz
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - S Deighton
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - M W Koch
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada.,Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada
| |
Collapse
|
50
|
Lee B, Ko E, Lee J, Jo Y, Hwang H, Goh TS, Joo M, Hong C. Soluble common gamma chain exacerbates COPD progress through the regulation of inflammatory T cell response in mice. Int J Chron Obstruct Pulmon Dis 2017; 12:817-827. [PMID: 28331303 PMCID: PMC5352154 DOI: 10.2147/copd.s123405] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Cigarette smoking (CS) is a major cause of considerable morbidity and mortality by inducing lung cancer and COPD. COPD, a smoking-related disorder, is closely related to the alteration of immune system and inflammatory processes that are specifically mediated by T cells. Soluble common gamma chain (sγc) has recently been identified as a critical regulator of the development and differentiation of T cells. We examined the effects of sγc in a cigarette smoke extract (CSE) mouse model. The sγc level in CSE mice serum is significantly downregulated, and the cellularity of lymph node (LN) is systemically reduced in the CSE group. Overexpression of sγc enhances the cellularity and IFNγ production of CD8 T cells in LN and also enhances Th1 and Th17 differentiation of CD4 T cells in the respiratory tract. Mechanistically, the downregulation of sγc expression mediated by CSE is required to prevent excessive inflammatory T cell responses. Therefore, our data suggest that sγc may be one of the target molecules for the control of immunopathogenic progresses in COPD.
Collapse
Affiliation(s)
- Byunghyuk Lee
- Department of Anatomy and Cell Biology, Pusan National University School of Medicine
| | - Eunhee Ko
- Department of Anatomy and Cell Biology, Pusan National University School of Medicine
| | - Jiyeon Lee
- Division of Applied Medicine, School of Korean Medicine, Pusan National University, Yangsan
| | - Yuna Jo
- Department of Anatomy and Cell Biology, Pusan National University School of Medicine
| | - Hyunju Hwang
- Department of Anatomy and Cell Biology, Pusan National University School of Medicine
| | - Tae Sik Goh
- Department of Anatomy and Cell Biology, Pusan National University School of Medicine; Department of Orthopedic Surgery, Medical Research Institute, Pusan National University School of Medicine, Busan, South Korea
| | - Myungsoo Joo
- Division of Applied Medicine, School of Korean Medicine, Pusan National University, Yangsan
| | - Changwan Hong
- Department of Anatomy and Cell Biology, Pusan National University School of Medicine
| |
Collapse
|