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Integrative Analyses of Biomarkers Associated with Endoplasmic Reticulum Stress in Ischemic Stroke

BACKGROUND: Neuronal apoptosis, which is the primary pathological transform of cerebral injury following ischemic stroke (IS), is considered to be induced by endoplasmic reticulum stress (ERS) by numerous reports. However, ERS biomarkers in IS have not been fully identified yet. Consequently, the pr...

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Autores principales: Zhang, Xiaoting, Li, Xi, Gu, Jinyan, Guo, Jingpei, Chen, Jiayao, Zhang, Ke, Liu, Junfeng, Liu, Jiani, Peng, Chao, Liu, Hanwei, Zhou, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436554/
https://www.ncbi.nlm.nih.gov/pubmed/36060663
http://dx.doi.org/10.1155/2022/4212180
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author Zhang, Xiaoting
Li, Xi
Gu, Jinyan
Guo, Jingpei
Chen, Jiayao
Zhang, Ke
Liu, Junfeng
Liu, Jiani
Peng, Chao
Liu, Hanwei
Zhou, Bin
author_facet Zhang, Xiaoting
Li, Xi
Gu, Jinyan
Guo, Jingpei
Chen, Jiayao
Zhang, Ke
Liu, Junfeng
Liu, Jiani
Peng, Chao
Liu, Hanwei
Zhou, Bin
author_sort Zhang, Xiaoting
collection PubMed
description BACKGROUND: Neuronal apoptosis, which is the primary pathological transform of cerebral injury following ischemic stroke (IS), is considered to be induced by endoplasmic reticulum stress (ERS) by numerous reports. However, ERS biomarkers in IS have not been fully identified yet. Consequently, the present study is aimed at exploring potential blood biomarkers by investigating the molecular mechanisms of ERS promoting neuronal apoptosis following IS development. METHODS: A comprehensive analysis was performed with two free-accessible whole-blood datasets (GSE16561 and GSE37587) from the Gene Expression Omnibus database. Genetic information from 107 IS and 24 healthy controls was employed to analyze the differentially expressed genes (DEGs). Genes related to ERS (ERS-DEGs) were identified from the analysis. Enrichment analyses were performed to explore the biofunction and correlated signal pathways of ERS-DEGs. Protein-protein interaction (PPI) network and immune correlation analyses were performed to identify the hub genes along with their correspondent expressions and functions, all of which contributed to incremental diagnostic values. RESULTS: A total of 60 IS-related DEGs were identified, of which 27 genes were confirmed as ERS-DEGs. GO and KEGG enrichment analysis corroborated that upregulated ERS-DEGs were principally enriched in pathways related to immunity, including neutrophil activation and Th17 cell differentiation. Moreover, the GSEA and GSVA indicated that T cell-related signal pathways were the most considerably immune pathways for ERS-DEG enrichment. A total of 10 hub genes were filtered out via the PPI network analysis. Immune correlation analysis confirmed that the expression of hub genes is associated with immune cell infiltration. CONCLUSIONS: By integrating and analyzing the two gene expression data profiles, it can be inferred that ERS may be involved in the development of neuronal apoptosis following IS via immune homeostasis. The identified hub genes, which are associated with immune cell infiltration, may serve as potential biomarkers for relative diagnosis and therapy.
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spelling pubmed-94365542022-09-02 Integrative Analyses of Biomarkers Associated with Endoplasmic Reticulum Stress in Ischemic Stroke Zhang, Xiaoting Li, Xi Gu, Jinyan Guo, Jingpei Chen, Jiayao Zhang, Ke Liu, Junfeng Liu, Jiani Peng, Chao Liu, Hanwei Zhou, Bin Comput Math Methods Med Research Article BACKGROUND: Neuronal apoptosis, which is the primary pathological transform of cerebral injury following ischemic stroke (IS), is considered to be induced by endoplasmic reticulum stress (ERS) by numerous reports. However, ERS biomarkers in IS have not been fully identified yet. Consequently, the present study is aimed at exploring potential blood biomarkers by investigating the molecular mechanisms of ERS promoting neuronal apoptosis following IS development. METHODS: A comprehensive analysis was performed with two free-accessible whole-blood datasets (GSE16561 and GSE37587) from the Gene Expression Omnibus database. Genetic information from 107 IS and 24 healthy controls was employed to analyze the differentially expressed genes (DEGs). Genes related to ERS (ERS-DEGs) were identified from the analysis. Enrichment analyses were performed to explore the biofunction and correlated signal pathways of ERS-DEGs. Protein-protein interaction (PPI) network and immune correlation analyses were performed to identify the hub genes along with their correspondent expressions and functions, all of which contributed to incremental diagnostic values. RESULTS: A total of 60 IS-related DEGs were identified, of which 27 genes were confirmed as ERS-DEGs. GO and KEGG enrichment analysis corroborated that upregulated ERS-DEGs were principally enriched in pathways related to immunity, including neutrophil activation and Th17 cell differentiation. Moreover, the GSEA and GSVA indicated that T cell-related signal pathways were the most considerably immune pathways for ERS-DEG enrichment. A total of 10 hub genes were filtered out via the PPI network analysis. Immune correlation analysis confirmed that the expression of hub genes is associated with immune cell infiltration. CONCLUSIONS: By integrating and analyzing the two gene expression data profiles, it can be inferred that ERS may be involved in the development of neuronal apoptosis following IS via immune homeostasis. The identified hub genes, which are associated with immune cell infiltration, may serve as potential biomarkers for relative diagnosis and therapy. Hindawi 2022-08-25 /pmc/articles/PMC9436554/ /pubmed/36060663 http://dx.doi.org/10.1155/2022/4212180 Text en Copyright © 2022 Xiaoting Zhang et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhang, Xiaoting
Li, Xi
Gu, Jinyan
Guo, Jingpei
Chen, Jiayao
Zhang, Ke
Liu, Junfeng
Liu, Jiani
Peng, Chao
Liu, Hanwei
Zhou, Bin
Integrative Analyses of Biomarkers Associated with Endoplasmic Reticulum Stress in Ischemic Stroke
title Integrative Analyses of Biomarkers Associated with Endoplasmic Reticulum Stress in Ischemic Stroke
title_full Integrative Analyses of Biomarkers Associated with Endoplasmic Reticulum Stress in Ischemic Stroke
title_fullStr Integrative Analyses of Biomarkers Associated with Endoplasmic Reticulum Stress in Ischemic Stroke
title_full_unstemmed Integrative Analyses of Biomarkers Associated with Endoplasmic Reticulum Stress in Ischemic Stroke
title_short Integrative Analyses of Biomarkers Associated with Endoplasmic Reticulum Stress in Ischemic Stroke
title_sort integrative analyses of biomarkers associated with endoplasmic reticulum stress in ischemic stroke
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9436554/
https://www.ncbi.nlm.nih.gov/pubmed/36060663
http://dx.doi.org/10.1155/2022/4212180
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