Back to Search Start Over

Proteomics Analysis of Brain Tissue in a Rat Model of Ischemic Stroke in the Acute Phase.

Authors :
Zheng F
Zhou YT
Zeng YF
Liu T
Yang ZY
Tang T
Luo JK
Wang Y
Source :
Frontiers in molecular neuroscience [Front Mol Neurosci] 2020 Feb 27; Vol. 13, pp. 27. Date of Electronic Publication: 2020 Feb 27 (Print Publication: 2020).
Publication Year :
2020

Abstract

Background : Stroke is a leading health issue, with high morbidity and mortality rates worldwide. Of all strokes, approximately 80% of cases are ischemic stroke (IS). However, the underlying mechanisms of the occurrence of acute IS remain poorly understood because of heterogeneous and multiple factors. More potential biomarkers are urgently needed to reveal the deeper pathogenesis of IS. Methods : We identified potential biomarkers in rat brain tissues of IS using an iTRAQ labeling approach coupled with LC-MS/MS. Furthermore, bioinformatrics analyses including GO, KEGG, DAVID, and Cytoscape were used to present proteomic profiles and to explore the disease mechanisms. Additionally, Western blotting for target proteins was conducted for further verification. Results : We identified 4,578 proteins using the iTRAQ-based proteomics method. Of these proteins, 282 differentiated proteins, comprising 73 upregulated and 209 downregulated proteins, were observed. Further bioinformatics analysis suggested that the candidate proteins were mainly involved in energy liberation, intracellular protein transport, and synaptic plasticity regulation during the acute period. KEGG pathway enrichment analysis indicated a series of representative pathological pathways, including energy metabolite, long-term potentiation (LTP), and neurodegenerative disease-related pathways. Moreover, Western blotting confirmed the associated candidate proteins, which refer to oxidative responses and synaptic plasticity. Conclusions : Our findings highlight the identification of candidate protein biomarkers and provide insight into the biological processes involved in acute IS.<br /> (Copyright © 2020 Zheng, Zhou, Zeng, Liu, Yang, Tang, Luo and Wang.)

Details

Language :
English
ISSN :
1662-5099
Volume :
13
Database :
MEDLINE
Journal :
Frontiers in molecular neuroscience
Publication Type :
Academic Journal
Accession number :
32174813
Full Text :
https://doi.org/10.3389/fnmol.2020.00027