Autophagy Induced by BCL2-Related ceRNA Network Participates in the Occurrence of COPD

Chronic obstructive pulmonary disease (COPD) is a predominant cause of mortality worldwide. Autophagy, which depends on a lysosomal degradation pathway, plays an essential role in the occurrence of COPD. The aim of our study was to identify the potential function of autophagy and construct a BCL2-re...

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Veröffentlicht in:International journal of chronic obstructive pulmonary disease 2022-01, Vol.17, p.791-808
Hauptverfasser: Shi, Zhuang-E, Zhang, Meng-Yu, Liu, Jian-Yu, Zhang, Wen-Di, Hu, Dong-Mei, Wang, Qing-Xiang, Ji, Xiu-Li, Jiang, Yuan-Yuan, Qu, Yi-Qing
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Sprache:eng
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Zusammenfassung:Chronic obstructive pulmonary disease (COPD) is a predominant cause of mortality worldwide. Autophagy, which depends on a lysosomal degradation pathway, plays an essential role in the occurrence of COPD. The aim of our study was to identify the potential function of autophagy and construct a BCL2-related competing endogenous RNA (ceRNA) network that induces autophagy in COPD. Blood sample data from GSE31568, GSE24709, and GSE61741 were collected from the Gene Expression Omnibus (GEO) database. Differentially expressed miRNAs in COPD and controls were identified via GEO2R. Transcription factors were obtained from FunRich. DIANA, miRDB, miRTarBase, and TargetScan were used to predict target genes of miRNAs. Autophagy genes were collected from the Human Autophagy Database (HADb). The GSE151052 dataset was used to identify autophagy-related differentially expressed genes in tissues. Functional enrichment and protein-protein interaction (PPI) network analyses were conducted via Metascape and the STRING network. Spearman correlation analysis was used to analyze the relationship between autophagy-related differentially expressed genes and lung function. The BCL2-related ceRNA network was modeled by Cytoscape. We obtained 41 differentially expressed miRNAs and 10 significantly different transcription factors. We identified 19 autophagy-related differentially expressed genes that were significantly different (
ISSN:1178-2005
1176-9106
1178-2005
DOI:10.2147/COPD.S347733