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Relationship between gait living activities parameters obtained by accelerometers and biomarkers (BDNF) in people with multiple sclerosis

Grant number: 19/22887-3
Support type:Scholarships abroad - Research Internship - Master's degree
Effective date (Start): May 01, 2020
Effective date (End): August 31, 2020
Field of knowledge:Health Sciences - Physical Education
Principal Investigator:Fabio Augusto Barbieri
Grantee:Felipe Balistieri Santinelli
Supervisor abroad: Claudia Mazza
Home Institution: Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brazil
Local de pesquisa : University of Sheffield, England  
Associated to the scholarship:18/18078-0 - Impact of Vitamin D treatment and brain neurotrophic factor level on spatio-temporal parameters and cortical activity during gait in people with multiple sclerosis, BP.MS

Abstract

Multiple sclerosis is a neurodegenerative disease that cause many symptoms. Gait disorders is one of the symptoms that most decrease quality of life in this population. Recently, many studies have been trying to recognize a sensible and low-cost biomarker to detect disease progression. Brain-derived neurotrophic factor (BDNF) is well-documented a biomarker of disease progression, that could have a relationship with gait parameters, mainly in gait living activities. The objective of the present project is to correlate BDNF with gait parameters obtained by an accelerometer attached at the lumbar back during a simulated gait living (6-minute walking test) and; to learn how to analyse gait data extracted from the accelerometer during gait living activities. Fifteen people with MS and 15 healthy-matched controls will participate in this study. Sample blood from the participants will be taken in two moments: fasting mood and; after the 6-minute walking test. The BDNF will be measure by the Enzyme-Linked Immunosorbent Assay-ELISA technique and a BDNF kit (BDNF R&D Systems a Biotechne Brand, Quantikine®) will be used, An accelerometer (Cometa®, Bareggio, Italy) will be attached before the experimental procedures at lower back (L4) of the participants. The data will be sampled in 100 points per second. From the accelerometer data, several gait parameters will be obtained: step and stride length, duration and velocity, as well as the double support time. Pearson correlations between gait parameters and BDNF will be performed.