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Identification of key genes and their association with immune infiltration in adipose tissue of obese patients: a bioinformatic analysis
Immune cell-mediated adipose tissue (AT) inflammation contributes to obesity-related metabolic disorders, but the precise underlying mechanisms remain largely elusive. In this study, we used the R software to screen key differentially expressed genes (DEGs) in AT from lean and obese individuals and...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336476/ https://www.ncbi.nlm.nih.gov/pubmed/35894174 http://dx.doi.org/10.1080/21623945.2022.2104512 |
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author | Wen, Jie Wang, Liwen |
author_facet | Wen, Jie Wang, Liwen |
author_sort | Wen, Jie |
collection | PubMed |
description | Immune cell-mediated adipose tissue (AT) inflammation contributes to obesity-related metabolic disorders, but the precise underlying mechanisms remain largely elusive. In this study, we used the R software to screen key differentially expressed genes (DEGs) in AT from lean and obese individuals and conducted function enrichment analysis. We then analysed their PPI network by using the STRING database. Hub genes were screened by cytohubba plugin. Subsequently, CIBERSORTx was used to predict the proportion of immune cells in AT from lean and obese subjects. Finally, the correlation between hub genes and immune cell proportions was analysed. These studies identified 290 DEGs in the AT between lean and obese subjects. Among them, IL6, CCL19, CXCL8, CXCL12, CCL2, CCL3, CCL4, CXCL2, IL1B, and CXCL1 were proved to be hub genes in regulating the protein-protein interaction (PPI) network. We also found that CXCL8 is positively correlated with resting NK cells, monocytes, activated mast cells, and eosinophils, but negatively correlated with CD8(+) T cells and activated NK cells in obese individuals. Taken together, our study identified key genes in AT that are correlated with immune cell infiltration, uncovering potential new targets for the prevention and treatment of obesity and its related complications via regulating the immune microenvironment. |
format | Online Article Text |
id | pubmed-9336476 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-93364762022-07-30 Identification of key genes and their association with immune infiltration in adipose tissue of obese patients: a bioinformatic analysis Wen, Jie Wang, Liwen Adipocyte Research Paper Immune cell-mediated adipose tissue (AT) inflammation contributes to obesity-related metabolic disorders, but the precise underlying mechanisms remain largely elusive. In this study, we used the R software to screen key differentially expressed genes (DEGs) in AT from lean and obese individuals and conducted function enrichment analysis. We then analysed their PPI network by using the STRING database. Hub genes were screened by cytohubba plugin. Subsequently, CIBERSORTx was used to predict the proportion of immune cells in AT from lean and obese subjects. Finally, the correlation between hub genes and immune cell proportions was analysed. These studies identified 290 DEGs in the AT between lean and obese subjects. Among them, IL6, CCL19, CXCL8, CXCL12, CCL2, CCL3, CCL4, CXCL2, IL1B, and CXCL1 were proved to be hub genes in regulating the protein-protein interaction (PPI) network. We also found that CXCL8 is positively correlated with resting NK cells, monocytes, activated mast cells, and eosinophils, but negatively correlated with CD8(+) T cells and activated NK cells in obese individuals. Taken together, our study identified key genes in AT that are correlated with immune cell infiltration, uncovering potential new targets for the prevention and treatment of obesity and its related complications via regulating the immune microenvironment. Taylor & Francis 2022-07-27 /pmc/articles/PMC9336476/ /pubmed/35894174 http://dx.doi.org/10.1080/21623945.2022.2104512 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Wen, Jie Wang, Liwen Identification of key genes and their association with immune infiltration in adipose tissue of obese patients: a bioinformatic analysis |
title | Identification of key genes and their association with immune infiltration in adipose tissue of obese patients: a bioinformatic analysis |
title_full | Identification of key genes and their association with immune infiltration in adipose tissue of obese patients: a bioinformatic analysis |
title_fullStr | Identification of key genes and their association with immune infiltration in adipose tissue of obese patients: a bioinformatic analysis |
title_full_unstemmed | Identification of key genes and their association with immune infiltration in adipose tissue of obese patients: a bioinformatic analysis |
title_short | Identification of key genes and their association with immune infiltration in adipose tissue of obese patients: a bioinformatic analysis |
title_sort | identification of key genes and their association with immune infiltration in adipose tissue of obese patients: a bioinformatic analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9336476/ https://www.ncbi.nlm.nih.gov/pubmed/35894174 http://dx.doi.org/10.1080/21623945.2022.2104512 |
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