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Published in: Journal of Neurology 4/2019

01-04-2019 | Multiple Sclerosis | Original Communication

Dietary and lifestyle factors in multiple sclerosis progression: results from a 5-year longitudinal MRI study

Authors: Dejan Jakimovski, Bianca Weinstock-Guttman, Sirin Gandhi, Yi Guan, Jesper Hagemeier, Deepa P. Ramasamy, Tom A. Fuchs, Richard W. Browne, Niels Bergsland, Michael G. Dwyer, Murali Ramanathan, Robert Zivadinov

Published in: Journal of Neurology | Issue 4/2019

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Abstract

Background

Evidence regarding the role, if any, of dietary and lifestyle factors in the pathogenesis of multiple sclerosis (MS) is poorly understood.

Objective

To assess the effect of lifestyle-based risk factors linked to cardiovascular disease (CVD) on clinical and MRI-derived MS outcomes.

Methods

The study enrolled 175 MS or clinically isolated syndrome (CIS) patients and 42 age- and sex-matched healthy controls (HCs) who were longitudinally followed for 5.5 years. The 20-year CVD risk was calculated by Healthy Heart Score (HHS) prediction model which includes age, smoking, body mass index, dietary intake, exercise, and alcohol consumption. Baseline and follow-up MRI scans were obtained and cross-sectional and longitudinal changes of T2-lesion volume (LV), whole brain volume (WBV), white matter volume (WMV), gray matter volume (GMV), and lateral ventricular volume (LVV) were calculated.

Results

After correcting for disease duration, the baseline HHS values of the MS group were associated with baseline GMV (rs = − 0.20, p = 0.01), and longitudinal LVV change (rs = 0.19, p = 0.01). The association with LVV remained significant after adjusting for baseline LVV volumes (rs = 0.2, p = 0.008) in MS patients. The diet component of the HHS was associated with the 5-year T2-LV accrual (rs = − 0.191, p = 0.04) in MS. In the HC group, the HHS was associated with LVV (rs = 0.58, p < 0.001), GMV (rs = − 0.57, p < 0.001), WBV (rs = − 0.55, p = 0.001), T2-LV (rs = 0.41, p = 0.027), and WMV (rs = − 0.38, p = 0.042). Additionally, the HC HHS was associated with the 5-year change in LVV (rs = 0.54, p = 0.001) and in WBV (rs = − 0.45, p = 0.011).

Conclusion

Lifestyle risk factors contribute to accelerated central brain atrophy in MS patients, whereas unhealthier diet is associated with MS lesion accrual. Despite the lower overall effect when compared to HCs, lifestyle-based modifications may still provide a beneficial effect on reducing brain atrophy in MS patients.
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Literature
5.
go back to reference University of California SFMSET, Cree BA, Gourraud PA, Oksenberg JR, Bevan C, Crabtree-Hartman E, Gelfand JM, Goodin DS, Graves J, Green AJ, Mowry E, Okuda DT, Pelletier D, von Budingen HC, Zamvil SS, Agrawal A, Caillier S, Ciocca C, Gomez R, Kanner R, Lincoln R, Lizee A, Qualley P, Santaniello A, Suleiman L, Bucci M, Panara V, Papinutto N, Stern WA, Zhu AH, Cutter GR, Baranzini S, Henry RG, Hauser SL (2016) Long-term evolution of multiple sclerosis disability in the treatment era. Ann Neurol 80(4):499–510. https://doi.org/10.1002/ana.24747 CrossRef University of California SFMSET, Cree BA, Gourraud PA, Oksenberg JR, Bevan C, Crabtree-Hartman E, Gelfand JM, Goodin DS, Graves J, Green AJ, Mowry E, Okuda DT, Pelletier D, von Budingen HC, Zamvil SS, Agrawal A, Caillier S, Ciocca C, Gomez R, Kanner R, Lincoln R, Lizee A, Qualley P, Santaniello A, Suleiman L, Bucci M, Panara V, Papinutto N, Stern WA, Zhu AH, Cutter GR, Baranzini S, Henry RG, Hauser SL (2016) Long-term evolution of multiple sclerosis disability in the treatment era. Ann Neurol 80(4):499–510. https://​doi.​org/​10.​1002/​ana.​24747 CrossRef
6.
go back to reference Marrie RA, Yu BN, Leung S, Elliott L, Caetano P, Warren S, Wolfson C, Patten SB, Svenson LW, Tremlett H, Fisk J, Blanchard JF, Epidemiology, CTi, Impact of Comorbidity on Multiple S (2012) Rising prevalence of vascular comorbidities in multiple sclerosis: validation of administrative definitions for diabetes, hypertension, and hyperlipidemia. Mult Scler 18(9):1310–1319. https://doi.org/10.1177/1352458512437814 CrossRefPubMed Marrie RA, Yu BN, Leung S, Elliott L, Caetano P, Warren S, Wolfson C, Patten SB, Svenson LW, Tremlett H, Fisk J, Blanchard JF, Epidemiology, CTi, Impact of Comorbidity on Multiple S (2012) Rising prevalence of vascular comorbidities in multiple sclerosis: validation of administrative definitions for diabetes, hypertension, and hyperlipidemia. Mult Scler 18(9):1310–1319. https://​doi.​org/​10.​1177/​1352458512437814​ CrossRefPubMed
10.
go back to reference Jakimovski D, Gandhi S, Paunkoski I, Bergsland N, Hagemeier J, Ramasamy DP, Hojnacki D, Kolb C, Benedict RHB, Weinstock-Guttman B, Zivadinov R (2018) Hypertension and heart disease are associated with development of brain atrophy in multiple sclerosis: a 5-year longitudinal study. Eur J Neurol. https://doi.org/10.1111/ene.13769 CrossRefPubMed Jakimovski D, Gandhi S, Paunkoski I, Bergsland N, Hagemeier J, Ramasamy DP, Hojnacki D, Kolb C, Benedict RHB, Weinstock-Guttman B, Zivadinov R (2018) Hypertension and heart disease are associated with development of brain atrophy in multiple sclerosis: a 5-year longitudinal study. Eur J Neurol. https://​doi.​org/​10.​1111/​ene.​13769 CrossRefPubMed
12.
go back to reference Kappus N, Weinstock-Guttman B, Hagemeier J, Kennedy C, Melia R, Carl E, Ramasamy DP, Cherneva M, Durfee J, Bergsland N, Dwyer MG, Kolb C, Hojnacki D, Ramanathan M, Zivadinov R (2016) Cardiovascular risk factors are associated with increased lesion burden and brain atrophy in multiple sclerosis. J Neurol Neurosurg Psychiatry 87(2):181–187. https://doi.org/10.1136/jnnp-2014-310051 CrossRefPubMed Kappus N, Weinstock-Guttman B, Hagemeier J, Kennedy C, Melia R, Carl E, Ramasamy DP, Cherneva M, Durfee J, Bergsland N, Dwyer MG, Kolb C, Hojnacki D, Ramanathan M, Zivadinov R (2016) Cardiovascular risk factors are associated with increased lesion burden and brain atrophy in multiple sclerosis. J Neurol Neurosurg Psychiatry 87(2):181–187. https://​doi.​org/​10.​1136/​jnnp-2014-310051 CrossRefPubMed
15.
go back to reference Magalhaes S, Pugliatti M, Casetta I, Drulovic J, Granieri E, Holmoy T, Kampman MT, Landtblom AM, Lauer K, Myhr KM, Parpinel M, Pekmezovic T, Riise T, Wolfson D, Zhu B, Wolfson C (2015) The EnvIMS study: design and methodology of an international case-control study of environmental risk factors in multiple sclerosis. Neuroepidemiology 44(3):173–181. https://doi.org/10.1159/000381779 CrossRefPubMed Magalhaes S, Pugliatti M, Casetta I, Drulovic J, Granieri E, Holmoy T, Kampman MT, Landtblom AM, Lauer K, Myhr KM, Parpinel M, Pekmezovic T, Riise T, Wolfson D, Zhu B, Wolfson C (2015) The EnvIMS study: design and methodology of an international case-control study of environmental risk factors in multiple sclerosis. Neuroepidemiology 44(3):173–181. https://​doi.​org/​10.​1159/​000381779 CrossRefPubMed
16.
go back to reference Xia Z, White CC, Owen EK, Von Korff A, Clarkson SR, McCabe CA, Cimpean M, Winn PA, Hoesing A, Steele SU, Cortese IC, Chitnis T, Weiner HL, Reich DS, Chibnik LB, De Jager PL (2016) Genes and Environment in Multiple Sclerosis project: a platform to investigate multiple sclerosis risk. Ann Neurol 79(2):178–189. https://doi.org/10.1002/ana.24560 CrossRefPubMed Xia Z, White CC, Owen EK, Von Korff A, Clarkson SR, McCabe CA, Cimpean M, Winn PA, Hoesing A, Steele SU, Cortese IC, Chitnis T, Weiner HL, Reich DS, Chibnik LB, De Jager PL (2016) Genes and Environment in Multiple Sclerosis project: a platform to investigate multiple sclerosis risk. Ann Neurol 79(2):178–189. https://​doi.​org/​10.​1002/​ana.​24560 CrossRefPubMed
19.
go back to reference Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M, Fujihara K, Havrdova E, Hutchinson M, Kappos L, Lublin FD, Montalban X, O’Connor P, Sandberg-Wollheim M, Thompson AJ, Waubant E, Weinshenker B, Wolinsky JS (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69(2):292–302. https://doi.org/10.1002/ana.22366 CrossRefPubMedPubMedCentral Polman CH, Reingold SC, Banwell B, Clanet M, Cohen JA, Filippi M, Fujihara K, Havrdova E, Hutchinson M, Kappos L, Lublin FD, Montalban X, O’Connor P, Sandberg-Wollheim M, Thompson AJ, Waubant E, Weinshenker B, Wolinsky JS (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69(2):292–302. https://​doi.​org/​10.​1002/​ana.​22366 CrossRefPubMedPubMedCentral
21.
go back to reference Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33(11):1444–1452CrossRef Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33(11):1444–1452CrossRef
23.
go back to reference Wilson PW, D’Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB (1998) Prediction of coronary heart disease using risk factor categories. Circulation 97(18):1837–1847CrossRef Wilson PW, D’Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB (1998) Prediction of coronary heart disease using risk factor categories. Circulation 97(18):1837–1847CrossRef
25.
go back to reference Smith SM, Zhang Y, Jenkinson M, Chen J, Matthews PM, Federico A, De Stefano N (2002) Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage 17(1):479–489CrossRef Smith SM, Zhang Y, Jenkinson M, Chen J, Matthews PM, Federico A, De Stefano N (2002) Accurate, robust, and automated longitudinal and cross-sectional brain change analysis. Neuroimage 17(1):479–489CrossRef
32.
go back to reference Belov P, Jakimovski D, Krawiecki J, Magnano C, Hagemeier J, Pelizzari L, Weinstock-Guttman B, Zivadinov R (2018) Lower arterial cross-sectional area of carotid and vertebral arteries and higher frequency of secondary neck vessels are associated with multiple sclerosis. Am J Neuroradiol 39(1):123–130. https://doi.org/10.3174/ajnr.A5469 CrossRefPubMed Belov P, Jakimovski D, Krawiecki J, Magnano C, Hagemeier J, Pelizzari L, Weinstock-Guttman B, Zivadinov R (2018) Lower arterial cross-sectional area of carotid and vertebral arteries and higher frequency of secondary neck vessels are associated with multiple sclerosis. Am J Neuroradiol 39(1):123–130. https://​doi.​org/​10.​3174/​ajnr.​A5469 CrossRefPubMed
40.
42.
45.
go back to reference Zivadinov R, Bergsland N, Korn JR, Dwyer MG, Khan N, Medin J, Price JC, Weinstock-Guttman B, Silva D, Group M-MS (2018) Feasibility of brain atrophy measurement in clinical routine without prior standardization of the MRI protocol: results from MS-MRIUS, a longitudinal observational, multicenter real-world outcome study in patients with relapsing-remitting MS. Am J Neuroradiol 39(2):289–295. https://doi.org/10.3174/ajnr.A5442 CrossRefPubMed Zivadinov R, Bergsland N, Korn JR, Dwyer MG, Khan N, Medin J, Price JC, Weinstock-Guttman B, Silva D, Group M-MS (2018) Feasibility of brain atrophy measurement in clinical routine without prior standardization of the MRI protocol: results from MS-MRIUS, a longitudinal observational, multicenter real-world outcome study in patients with relapsing-remitting MS. Am J Neuroradiol 39(2):289–295. https://​doi.​org/​10.​3174/​ajnr.​A5442 CrossRefPubMed
46.
go back to reference Eshaghi A, Prados F, Brownlee WJ, Altmann DR, Tur C, Cardoso MJ, De Angelis F, van de Pavert SH, Cawley N, De Stefano N, Stromillo ML, Battaglini M, Ruggieri S, Gasperini C, Filippi M, Rocca MA, Rovira A, Sastre-Garriga J, Vrenken H, Leurs CE, Killestein J, Pirpamer L, Enzinger C, Ourselin S, Wheeler-Kingshott C, Chard D, Thompson AJ, Alexander DC, Barkhof F, Ciccarelli O, group Ms (2018) Deep gray matter volume loss drives disability worsening in multiple sclerosis. Ann Neurol 83(2):210–222. https://doi.org/10.1002/ana.25145 CrossRefPubMedPubMedCentral Eshaghi A, Prados F, Brownlee WJ, Altmann DR, Tur C, Cardoso MJ, De Angelis F, van de Pavert SH, Cawley N, De Stefano N, Stromillo ML, Battaglini M, Ruggieri S, Gasperini C, Filippi M, Rocca MA, Rovira A, Sastre-Garriga J, Vrenken H, Leurs CE, Killestein J, Pirpamer L, Enzinger C, Ourselin S, Wheeler-Kingshott C, Chard D, Thompson AJ, Alexander DC, Barkhof F, Ciccarelli O, group Ms (2018) Deep gray matter volume loss drives disability worsening in multiple sclerosis. Ann Neurol 83(2):210–222. https://​doi.​org/​10.​1002/​ana.​25145 CrossRefPubMedPubMedCentral
Metadata
Title
Dietary and lifestyle factors in multiple sclerosis progression: results from a 5-year longitudinal MRI study
Authors
Dejan Jakimovski
Bianca Weinstock-Guttman
Sirin Gandhi
Yi Guan
Jesper Hagemeier
Deepa P. Ramasamy
Tom A. Fuchs
Richard W. Browne
Niels Bergsland
Michael G. Dwyer
Murali Ramanathan
Robert Zivadinov
Publication date
01-04-2019
Publisher
Springer Berlin Heidelberg
Published in
Journal of Neurology / Issue 4/2019
Print ISSN: 0340-5354
Electronic ISSN: 1432-1459
DOI
https://doi.org/10.1007/s00415-019-09208-0

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