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

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 factor...

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Autores principales: Zheng, Fei, Zhou, Yan-Tao, Zeng, Yi-Fu, Liu, Tao, Yang, Zhao-Yu, Tang, Tao, Luo, Jie-Kun, Wang, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057045/
https://www.ncbi.nlm.nih.gov/pubmed/32174813
http://dx.doi.org/10.3389/fnmol.2020.00027
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author Zheng, Fei
Zhou, Yan-Tao
Zeng, Yi-Fu
Liu, Tao
Yang, Zhao-Yu
Tang, Tao
Luo, Jie-Kun
Wang, Yang
author_facet Zheng, Fei
Zhou, Yan-Tao
Zeng, Yi-Fu
Liu, Tao
Yang, Zhao-Yu
Tang, Tao
Luo, Jie-Kun
Wang, Yang
author_sort Zheng, Fei
collection PubMed
description 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.
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spelling pubmed-70570452020-03-13 Proteomics Analysis of Brain Tissue in a Rat Model of Ischemic Stroke in the Acute Phase Zheng, Fei Zhou, Yan-Tao Zeng, Yi-Fu Liu, Tao Yang, Zhao-Yu Tang, Tao Luo, Jie-Kun Wang, Yang Front Mol Neurosci Neuroscience 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. Frontiers Media S.A. 2020-02-27 /pmc/articles/PMC7057045/ /pubmed/32174813 http://dx.doi.org/10.3389/fnmol.2020.00027 Text en Copyright © 2020 Zheng, Zhou, Zeng, Liu, Yang, Tang, Luo and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Zheng, Fei
Zhou, Yan-Tao
Zeng, Yi-Fu
Liu, Tao
Yang, Zhao-Yu
Tang, Tao
Luo, Jie-Kun
Wang, Yang
Proteomics Analysis of Brain Tissue in a Rat Model of Ischemic Stroke in the Acute Phase
title Proteomics Analysis of Brain Tissue in a Rat Model of Ischemic Stroke in the Acute Phase
title_full Proteomics Analysis of Brain Tissue in a Rat Model of Ischemic Stroke in the Acute Phase
title_fullStr Proteomics Analysis of Brain Tissue in a Rat Model of Ischemic Stroke in the Acute Phase
title_full_unstemmed Proteomics Analysis of Brain Tissue in a Rat Model of Ischemic Stroke in the Acute Phase
title_short Proteomics Analysis of Brain Tissue in a Rat Model of Ischemic Stroke in the Acute Phase
title_sort proteomics analysis of brain tissue in a rat model of ischemic stroke in the acute phase
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7057045/
https://www.ncbi.nlm.nih.gov/pubmed/32174813
http://dx.doi.org/10.3389/fnmol.2020.00027
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