Screening and bioinformatics analysis of key autophagy-related genes in alcoholic hepatitis
10.3969/j.issn.1674-7445.2023163
- VernacularTitle:酒精性肝炎自噬关键基因的筛选及生物信息学分析
- Author:
Chao YUAN
1
;
Qinghai LIAN
2
;
Beibei NI
2
;
Yan XU
2
;
Tong ZHANG
1
;
Jian ZHANG
1
Author Information
1. Department of Hepatic Surgery, Liver Transplantation Center, the Third Affiliated Hospital of Sun Yat-sen University, Guangzhou 510630, China.
2. .
- Publication Type:OriginalArticle
- Keywords:
Alcoholic hepatitis;
Autophagy;
Key gene;
Bioinformatics;
Weighted gene co-expression network analysis (WGCNA);
Gene ontology (GO);
Kyoto Encyclopedia of Genes and Genomes (KEGG);
Protein-protein interaction (PPI)
- From:
Organ Transplantation
2024;15(1):90-101
- CountryChina
- Language:Chinese
-
Abstract:
Objective To screen key autophagy-related genes in alcoholic hepatitis (AH) and investigate potential biomarkers and therapeutic targets for AH. Methods Two AH gene chips in Gene Expression Omnibus (GEO) and autophagy-related data sets obtained from MSigDB and GeneCards databases were used, and the key genes were verified and obtained by weighted gene co-expression network analysis (WGCNA). The screened key genes were subject to gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), protein-protein interaction (PPI) and immune infiltration analyses. Messenger RNA (mRNA)- microRNA (miRNA) network was constructed to analyze the expression differences of key autophagy-related genes during different stages of AH, which were further validated by real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) in the liver tissues of AH patients and mice. Results Eleven autophagy-related genes were screened in AH (EEF1A2, CFTR, SOX4, TREM2, CTHRC1, HSPB8, TUBB3, PRKAA2, RNASE1, MTCL1 and HGF), all of which were up-regulated. In the liver tissues of AH patients and mice, the relative expression levels of SOX4, TREM2, HSPB8 and PRKAA2 in the AH group were higher than those in the control group. Conclusions SOX4, TREM2, HSPB8 and PRKAA2 may be potential biomarkers and therapeutic targets for AH.
