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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...

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Autores principales: Wen, Jie, Wang, Liwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
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.
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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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