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@ARTICLE{Negaresh:143605,
author = {R. Negaresh and R. W. Motl and P. Zimmer$^*$ and M.
Mokhtarzade and J. S. Baker},
title = {{E}ffects of exercise training on multiple sclerosis
biomarkers of central nervous system and disease status: a
systematic review of intervention studies.},
journal = {European journal of neurology},
volume = {26},
number = {5},
issn = {1351-5101},
address = {Oxford},
publisher = {Blackwell Science65503},
reportid = {DKFZ-2019-01185},
pages = {711-721},
year = {2019},
abstract = {Multiple sclerosis (MS) is a demyelinating and
neurodegenerative disease of the central nervous system
(CNS) that can be tracked through biomarkers of disease
status. We investigated the effects of exercise on MS
biomarkers associated with CNS status including imaging,
blood-brain barrier (BBB) function and neurotrophic
factors.We conducted open-dated searches of Scopus, Medline,
EMBASE and the Cochrane Library. We included studies written
in English describing interventions of exercise that
measured one or more of the biomarkers associated with MS
published up to October 2018.We located a total of 3012
citations through searches in electronic databases. Of
these, 16 studies were eligible for review; six studies
focused on magnetic resonance imaging (MRI) markers, nine
studies focused on neurotrophic factors and three studies
focused on BBB function markers. It is of note that two
studies included both neurotrophic factor and BBB function
markers and are therefore included across categories of
biomarkers in this review. The existing evidence from MRI
studies confirmed that exercise training can improve CNS
integrity and function. There is evidence of a positive
effect of exercise training on modulation of BBB
permeability markers and brain-derived neurotrophic
factor.Exercise successfully improves MRI outcomes and
peripheral biomarkers (i.e. brain-derived neurotrophic
factor) in people with MS. This suggests that exercise can
be recommended as an adjuvant therapy for MS treatment. This
conclusion is tempered by some methodological limitations
including small sample sizes and high drop-out rates in the
reviewed studies.},
subtyp = {Review Article},
cin = {C110},
ddc = {610},
cid = {I:(DE-He78)C110-20160331},
pnm = {313 - Cancer risk factors and prevention (POF3-313)},
pid = {G:(DE-HGF)POF3-313},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:30734989},
doi = {10.1111/ene.13929},
url = {https://inrepo02.dkfz.de/record/143605},
}