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Identification of hypoxia-related genes and exploration of their relationship with immune cells in ischemic stroke

Ischemic stroke (IS) is a major threat to human health, and it is the second leading cause of long-term disability and death in the world. Impaired cerebral perfusion leads to acute hypoxia and glucose deficiency, which in turn induces a stroke cascade response that ultimately leads to cell death. S...

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Autores principales: Yang, Kai, Zhang, Zhaoqi, Liu, Xiaoju, Wang, Tong, Jia, Zhicheng, Li, Xin, Liu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10310769/
https://www.ncbi.nlm.nih.gov/pubmed/37386280
http://dx.doi.org/10.1038/s41598-023-37753-2
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author Yang, Kai
Zhang, Zhaoqi
Liu, Xiaoju
Wang, Tong
Jia, Zhicheng
Li, Xin
Liu, Wei
author_facet Yang, Kai
Zhang, Zhaoqi
Liu, Xiaoju
Wang, Tong
Jia, Zhicheng
Li, Xin
Liu, Wei
author_sort Yang, Kai
collection PubMed
description Ischemic stroke (IS) is a major threat to human health, and it is the second leading cause of long-term disability and death in the world. Impaired cerebral perfusion leads to acute hypoxia and glucose deficiency, which in turn induces a stroke cascade response that ultimately leads to cell death. Screening and identifying hypoxia-related genes (HRGs) and therapeutic targets is important for neuroprotection before and during brain recanalization to protect against injury and extend the time window to further improve functional outcomes before pharmacological and mechanical thrombolysis. First, we downloaded the GSE16561 and GSE58294 datasets from the NCBI GEO database. Bioinformatics analysis of the GSE16561 dataset using the limma package identified differentially expressed genes (DEGs) in ischemic stroke using adj. p. values < 0.05 and a fold change of 0.5 as thresholds. The Molecular Signature database and Genecards database were pooled to obtain hypoxia-related genes. 19 HRGs associated with ischemic stroke were obtained after taking the intersection. LASSO regression and multivariate logistic regression were applied to identify critical biomarkers with independent diagnostic values. ROC curves were constructed to validate their diagnostic efficacy. We used CIBERSORT to analyze the differences in the immune microenvironment between IS patients and controls. Finally, we investigated the correlation between HRGs and infiltrating immune cells to understand molecular immune mechanisms better. Our study analyzed the role of HRGs in ischemic stroke. Nineteen hypoxia-related genes were obtained. Enrichment analysis showed that 19 HRGs were involved in response to hypoxia, HIF-1 signaling pathway, autophagy, autophagy of mitochondrion, and AMPK signaling pathway. Because of the good diagnostic properties of SLC2A3, we further investigated the function of SLC2A3 and found that it is closely related to immunity. We have also explored the relevance of other critical genes to immune cells. Our findings suggest that hypoxia-related genes play a crucial role in the diversity and complexity of the IS immune microenvironment. Exploring the association between hypoxia-related critical genes and immune cells provides innovative insights into the therapeutic targets for ischemic stroke.
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spelling pubmed-103107692023-07-01 Identification of hypoxia-related genes and exploration of their relationship with immune cells in ischemic stroke Yang, Kai Zhang, Zhaoqi Liu, Xiaoju Wang, Tong Jia, Zhicheng Li, Xin Liu, Wei Sci Rep Article Ischemic stroke (IS) is a major threat to human health, and it is the second leading cause of long-term disability and death in the world. Impaired cerebral perfusion leads to acute hypoxia and glucose deficiency, which in turn induces a stroke cascade response that ultimately leads to cell death. Screening and identifying hypoxia-related genes (HRGs) and therapeutic targets is important for neuroprotection before and during brain recanalization to protect against injury and extend the time window to further improve functional outcomes before pharmacological and mechanical thrombolysis. First, we downloaded the GSE16561 and GSE58294 datasets from the NCBI GEO database. Bioinformatics analysis of the GSE16561 dataset using the limma package identified differentially expressed genes (DEGs) in ischemic stroke using adj. p. values < 0.05 and a fold change of 0.5 as thresholds. The Molecular Signature database and Genecards database were pooled to obtain hypoxia-related genes. 19 HRGs associated with ischemic stroke were obtained after taking the intersection. LASSO regression and multivariate logistic regression were applied to identify critical biomarkers with independent diagnostic values. ROC curves were constructed to validate their diagnostic efficacy. We used CIBERSORT to analyze the differences in the immune microenvironment between IS patients and controls. Finally, we investigated the correlation between HRGs and infiltrating immune cells to understand molecular immune mechanisms better. Our study analyzed the role of HRGs in ischemic stroke. Nineteen hypoxia-related genes were obtained. Enrichment analysis showed that 19 HRGs were involved in response to hypoxia, HIF-1 signaling pathway, autophagy, autophagy of mitochondrion, and AMPK signaling pathway. Because of the good diagnostic properties of SLC2A3, we further investigated the function of SLC2A3 and found that it is closely related to immunity. We have also explored the relevance of other critical genes to immune cells. Our findings suggest that hypoxia-related genes play a crucial role in the diversity and complexity of the IS immune microenvironment. Exploring the association between hypoxia-related critical genes and immune cells provides innovative insights into the therapeutic targets for ischemic stroke. Nature Publishing Group UK 2023-06-29 /pmc/articles/PMC10310769/ /pubmed/37386280 http://dx.doi.org/10.1038/s41598-023-37753-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Yang, Kai
Zhang, Zhaoqi
Liu, Xiaoju
Wang, Tong
Jia, Zhicheng
Li, Xin
Liu, Wei
Identification of hypoxia-related genes and exploration of their relationship with immune cells in ischemic stroke
title Identification of hypoxia-related genes and exploration of their relationship with immune cells in ischemic stroke
title_full Identification of hypoxia-related genes and exploration of their relationship with immune cells in ischemic stroke
title_fullStr Identification of hypoxia-related genes and exploration of their relationship with immune cells in ischemic stroke
title_full_unstemmed Identification of hypoxia-related genes and exploration of their relationship with immune cells in ischemic stroke
title_short Identification of hypoxia-related genes and exploration of their relationship with immune cells in ischemic stroke
title_sort identification of hypoxia-related genes and exploration of their relationship with immune cells in ischemic stroke
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10310769/
https://www.ncbi.nlm.nih.gov/pubmed/37386280
http://dx.doi.org/10.1038/s41598-023-37753-2
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