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Identification and Validation of Autophagy-Related Genes in Sepsis-Induced Acute Respiratory Distress Syndrome and Immune Infiltration
PURPOSE: Autophagy-related genes (ARGs) play an important role in the pathophysiology processes of sepsis-induced acute respiratory distress syndrome (ARDS). However, expression profiles of ARGs have rarely been used to explore the relationship between autophagy and sepsis-induced ARDS. Therefore, w...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994633/ https://www.ncbi.nlm.nih.gov/pubmed/35411170 http://dx.doi.org/10.2147/JIR.S355225 |
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author | Sun, Mengfei Yang, Qianqian Hu, Chunling Zhang, Hengchao Xing, Lihua |
author_facet | Sun, Mengfei Yang, Qianqian Hu, Chunling Zhang, Hengchao Xing, Lihua |
author_sort | Sun, Mengfei |
collection | PubMed |
description | PURPOSE: Autophagy-related genes (ARGs) play an important role in the pathophysiology processes of sepsis-induced acute respiratory distress syndrome (ARDS). However, expression profiles of ARGs have rarely been used to explore the relationship between autophagy and sepsis-induced ARDS. Therefore, we aim to identify and validate the potential ARGs of sepsis-induced ARDS through bioinformatics analysis and experiment validation. METHODS: We downloaded GSE32707 data from the Gene Expression Omnibus (GEO) database. The potential differentially expressed genes (DEGs) and differentially expressed ARGs (DEARGs) of sepsis-induced ARDS were screened by R software. Then, we performed functional enrichment analyses to explore the potential biological functions of DEARGs and constructed protein–protein interaction (PPI) networks. Subsequently, correlation analysis and receiver operating characteristic (ROC) curve were used for the DEARGs. In addition, we estimated the proportions of 22 immune cell subsets by using CIBERSORT algorithm. Finally, RNA expression of seven DEARGs were validated by qRT-PCR in blood samples from sepsis-induced ARDS and healthy controls. RESULTS: We identified 28 DEARGs, including 11 up-regulated genes and 17 down-regulated genes, which were primarily involved in autophagy and apoptosis. Seven genes (BAG3, CTSD, ERBB2, MYC, PEA15, RAB24 and SIRT1) with AUC >0.70 were considered possible to be sepsis-induced ARDS hub genes for ROC curve analysis. CIBERSORT results shown that sepsis-induced ARDS contained a higher proportion of naive CD4(+) T cells, gamma delta T cells, monocytes, and neutrophils, and lower levels of CD8(+) T cells, memory resting CD4(+) T cells, follicular helper T cells were relatively lower. The results of qRT-PCR also demonstrated that the expression levels of BAG3, CTSD, ERBB2, MYC and SIRT1 in sepsis-induced ARDS patients and healthy controls had differences. CONCLUSION: We identified an association between DEGs and immune infiltration in sepsis-induced ARDS and validated BAG3, CTSD, ERBB2, MYC and SIRT1 that may be have excellent diagnostic performance. |
format | Online Article Text |
id | pubmed-8994633 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-89946332022-04-10 Identification and Validation of Autophagy-Related Genes in Sepsis-Induced Acute Respiratory Distress Syndrome and Immune Infiltration Sun, Mengfei Yang, Qianqian Hu, Chunling Zhang, Hengchao Xing, Lihua J Inflamm Res Original Research PURPOSE: Autophagy-related genes (ARGs) play an important role in the pathophysiology processes of sepsis-induced acute respiratory distress syndrome (ARDS). However, expression profiles of ARGs have rarely been used to explore the relationship between autophagy and sepsis-induced ARDS. Therefore, we aim to identify and validate the potential ARGs of sepsis-induced ARDS through bioinformatics analysis and experiment validation. METHODS: We downloaded GSE32707 data from the Gene Expression Omnibus (GEO) database. The potential differentially expressed genes (DEGs) and differentially expressed ARGs (DEARGs) of sepsis-induced ARDS were screened by R software. Then, we performed functional enrichment analyses to explore the potential biological functions of DEARGs and constructed protein–protein interaction (PPI) networks. Subsequently, correlation analysis and receiver operating characteristic (ROC) curve were used for the DEARGs. In addition, we estimated the proportions of 22 immune cell subsets by using CIBERSORT algorithm. Finally, RNA expression of seven DEARGs were validated by qRT-PCR in blood samples from sepsis-induced ARDS and healthy controls. RESULTS: We identified 28 DEARGs, including 11 up-regulated genes and 17 down-regulated genes, which were primarily involved in autophagy and apoptosis. Seven genes (BAG3, CTSD, ERBB2, MYC, PEA15, RAB24 and SIRT1) with AUC >0.70 were considered possible to be sepsis-induced ARDS hub genes for ROC curve analysis. CIBERSORT results shown that sepsis-induced ARDS contained a higher proportion of naive CD4(+) T cells, gamma delta T cells, monocytes, and neutrophils, and lower levels of CD8(+) T cells, memory resting CD4(+) T cells, follicular helper T cells were relatively lower. The results of qRT-PCR also demonstrated that the expression levels of BAG3, CTSD, ERBB2, MYC and SIRT1 in sepsis-induced ARDS patients and healthy controls had differences. CONCLUSION: We identified an association between DEGs and immune infiltration in sepsis-induced ARDS and validated BAG3, CTSD, ERBB2, MYC and SIRT1 that may be have excellent diagnostic performance. Dove 2022-04-05 /pmc/articles/PMC8994633/ /pubmed/35411170 http://dx.doi.org/10.2147/JIR.S355225 Text en © 2022 Sun et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Sun, Mengfei Yang, Qianqian Hu, Chunling Zhang, Hengchao Xing, Lihua Identification and Validation of Autophagy-Related Genes in Sepsis-Induced Acute Respiratory Distress Syndrome and Immune Infiltration |
title | Identification and Validation of Autophagy-Related Genes in Sepsis-Induced Acute Respiratory Distress Syndrome and Immune Infiltration |
title_full | Identification and Validation of Autophagy-Related Genes in Sepsis-Induced Acute Respiratory Distress Syndrome and Immune Infiltration |
title_fullStr | Identification and Validation of Autophagy-Related Genes in Sepsis-Induced Acute Respiratory Distress Syndrome and Immune Infiltration |
title_full_unstemmed | Identification and Validation of Autophagy-Related Genes in Sepsis-Induced Acute Respiratory Distress Syndrome and Immune Infiltration |
title_short | Identification and Validation of Autophagy-Related Genes in Sepsis-Induced Acute Respiratory Distress Syndrome and Immune Infiltration |
title_sort | identification and validation of autophagy-related genes in sepsis-induced acute respiratory distress syndrome and immune infiltration |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994633/ https://www.ncbi.nlm.nih.gov/pubmed/35411170 http://dx.doi.org/10.2147/JIR.S355225 |
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