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Worst spasticity in patients post-stroke associated with MNSOD ALA16VAL polymorphism and interleukin-1β.

Authors :
Flores AE
Pascotini ET
Kegler A
Broetto N
Gabbi P
Duarte T
Prado ALC
Duarte MMMF
da Cruz IBM
Dos Santos ARS
Royes LFF
Fighera MR
Source :
Gene [Gene] 2022 Dec 30; Vol. 847, pp. 146880. Date of Electronic Publication: 2022 Sep 11.
Publication Year :
2022

Abstract

The MnSOD Ala16Val single nucleotide polymorphism (SNP) has shown to be associated to risk factors of several metabolic and vascular diseases. However, little is known about interaction between MnSOD Ala16Val SNP in stroke, a frequent neurologic disease that involves clinic manifestations such as motor deficits and spasticity. In this sense, we decided to investigate the relationship between MnSOD Ala16Val SNP with spasticity in stroke and also its influence on interleukin levels, BDNF, and glycolipid parameters. Eighty post-stroke subjects and 80 healthy controls were investigated. We showed a higher spasticity, levels of total cholesterol, LDL, IL-1β, IL-6, and INF-γ in VV post-stroke group. Interesting, we found a correlation between IL-1β levels and spasticity in VV post-stroke. Triglycerides, glucose levels and caspases (1 and 3) activation were significantly higher, as well as BDNF levels were lower in VV and AV post-stroke. DNA damage was higher in post-stroke group. Thus, we can suggest that the V allele has a worse glycolipid profile, which would facilitate changes in neurovascular homeostasis. These events associated with an increase in inflammatory markers and a reduction in BDNF can contribute with the stroke and a worse clinical evolution in relation to spasticity in patients with VV genotype.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2022. Published by Elsevier B.V.)

Details

Language :
English
ISSN :
1879-0038
Volume :
847
Database :
MEDLINE
Journal :
Gene
Publication Type :
Academic Journal
Accession number :
36100117
Full Text :
https://doi.org/10.1016/j.gene.2022.146880