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Application of weighted gene co-expression network and immune infiltration for explorations of key genes in the brain of elderly COVID-19 patients
INTRODUCTION: Although many studies have demonstrated the existing neurological symptoms in COVID-19 patients, the mechanisms are not clear until now. This study aimed to figure out the critical molecular and immune infiltration situations in the brain of elderly COVID-19 patients. METHODS: GSE18884...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102454/ https://www.ncbi.nlm.nih.gov/pubmed/37063869 http://dx.doi.org/10.3389/fimmu.2023.1157179 |
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author | Huang, Lixia Qin, Wei Guo, Zirui Li, Xiaoyu Li, Fajiu Wang, Xiang |
author_facet | Huang, Lixia Qin, Wei Guo, Zirui Li, Xiaoyu Li, Fajiu Wang, Xiang |
author_sort | Huang, Lixia |
collection | PubMed |
description | INTRODUCTION: Although many studies have demonstrated the existing neurological symptoms in COVID-19 patients, the mechanisms are not clear until now. This study aimed to figure out the critical molecular and immune infiltration situations in the brain of elderly COVID-19 patients. METHODS: GSE188847 was used for the differential analysis, WGCNA, and immune infiltration analysis. We also performed GO, KEGG, GSEA, and GSVA for the enrich analysis. RESULTS: 266 DEGs, obtained from the brain samples of COVID-19 and non-COVID-19 patients whose ages were over 70 years old, were identified. GO and KEGG analysis revealed the enrichment in synapse and neuroactive ligand-receptor interaction in COVID-19 patients. Further analysis found that asthma and immune system signal pathways were significant changes based on GSEA and GSVA. Immune infiltration analysis demonstrated the imbalance of CD8+ T cells, neutrophils, and HLA. The MEpurple module genes were the most significantly different relative to COVID-19. Finally, RPS29, S100A10, and TIMP1 were the critical genes attributed to the progress of brain damage. CONCLUSION: RPS29, S100A10, and TIMP1 were the critical genes in the brain pathology of COVID-19 in elderly patients. Our research has revealed a new mechanism and a potential therapeutic target. |
format | Online Article Text |
id | pubmed-10102454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101024542023-04-15 Application of weighted gene co-expression network and immune infiltration for explorations of key genes in the brain of elderly COVID-19 patients Huang, Lixia Qin, Wei Guo, Zirui Li, Xiaoyu Li, Fajiu Wang, Xiang Front Immunol Immunology INTRODUCTION: Although many studies have demonstrated the existing neurological symptoms in COVID-19 patients, the mechanisms are not clear until now. This study aimed to figure out the critical molecular and immune infiltration situations in the brain of elderly COVID-19 patients. METHODS: GSE188847 was used for the differential analysis, WGCNA, and immune infiltration analysis. We also performed GO, KEGG, GSEA, and GSVA for the enrich analysis. RESULTS: 266 DEGs, obtained from the brain samples of COVID-19 and non-COVID-19 patients whose ages were over 70 years old, were identified. GO and KEGG analysis revealed the enrichment in synapse and neuroactive ligand-receptor interaction in COVID-19 patients. Further analysis found that asthma and immune system signal pathways were significant changes based on GSEA and GSVA. Immune infiltration analysis demonstrated the imbalance of CD8+ T cells, neutrophils, and HLA. The MEpurple module genes were the most significantly different relative to COVID-19. Finally, RPS29, S100A10, and TIMP1 were the critical genes attributed to the progress of brain damage. CONCLUSION: RPS29, S100A10, and TIMP1 were the critical genes in the brain pathology of COVID-19 in elderly patients. Our research has revealed a new mechanism and a potential therapeutic target. Frontiers Media S.A. 2023-03-31 /pmc/articles/PMC10102454/ /pubmed/37063869 http://dx.doi.org/10.3389/fimmu.2023.1157179 Text en Copyright © 2023 Huang, Qin, Guo, Li, Li and Wang https://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 | Immunology Huang, Lixia Qin, Wei Guo, Zirui Li, Xiaoyu Li, Fajiu Wang, Xiang Application of weighted gene co-expression network and immune infiltration for explorations of key genes in the brain of elderly COVID-19 patients |
title | Application of weighted gene co-expression network and immune infiltration for explorations of key genes in the brain of elderly COVID-19 patients |
title_full | Application of weighted gene co-expression network and immune infiltration for explorations of key genes in the brain of elderly COVID-19 patients |
title_fullStr | Application of weighted gene co-expression network and immune infiltration for explorations of key genes in the brain of elderly COVID-19 patients |
title_full_unstemmed | Application of weighted gene co-expression network and immune infiltration for explorations of key genes in the brain of elderly COVID-19 patients |
title_short | Application of weighted gene co-expression network and immune infiltration for explorations of key genes in the brain of elderly COVID-19 patients |
title_sort | application of weighted gene co-expression network and immune infiltration for explorations of key genes in the brain of elderly covid-19 patients |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102454/ https://www.ncbi.nlm.nih.gov/pubmed/37063869 http://dx.doi.org/10.3389/fimmu.2023.1157179 |
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