The effect of aerobic exercise on Neurofilament light chain and glial Fibrillary acidic protein level in patients with relapsing remitting type multiple sclerosis.

Glial Fibrillary Acidic Protein Neurofilament Light Chain aerobic exercise biomarker multiple sclerosis

Journal

Multiple sclerosis and related disorders
ISSN: 2211-0356
Titre abrégé: Mult Scler Relat Disord
Pays: Netherlands
ID NLM: 101580247

Informations de publication

Date de publication:
Oct 2021
Historique:
received: 05 07 2021
revised: 09 08 2021
accepted: 15 08 2021
pubmed: 26 8 2021
medline: 21 10 2021
entrez: 25 8 2021
Statut: ppublish

Résumé

Background Multiple sclerosis (MS) is an autoimmune and neurodegenerative disease of the central nervous system in which disease activity can be monitored with some biomarkers. The aim of our study was to investigate serum Glial Fibrillary Acidic Protein (GFAP) and Neurofilament Light Chain (NFL) in relapsing-remitting MS (RRMS) patients after the aerobic exercise. Methods A total of 38 participants with RRMS (Expanded Disability Status Scale: 1.0 - 4.5) were randomized to a study group (3 × /week for 8 weeks at 60 - 70 % of maximal aerobic capacity (VO

Identifiants

pubmed: 34433118
pii: S2211-0348(21)00486-7
doi: 10.1016/j.msard.2021.103219
pii:
doi:

Substances chimiques

Biomarkers 0
Glial Fibrillary Acidic Protein 0

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

103219

Informations de copyright

Copyright © 2021. Published by Elsevier B.V.

Auteurs

Zubeyde Ercan (Z)

Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Fırat University, Elazığ, Turkey. Electronic address: zubeydeercan@firat.edu.tr.

Furkan Bilek (F)

Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Fırat University, Elazığ, Turkey. Electronic address: fzt.furkanbilek@gmail.com.

Caner Feyzi Demir (CF)

Department of Neurology, Faculty of Medical, Fırat University, Elazığ, Turkey. Electronic address: cfdemir@yahoo.com.

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Classifications MeSH