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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...

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Autores principales: Sun, Mengfei, Yang, Qianqian, Hu, Chunling, Zhang, Hengchao, Xing, Lihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2022
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.
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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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