Analysis of transcriptomic comorbidity mechanism of nonalcoholic fatty liver disease and colorectal cancer based on bioinformatics
- VernacularTitle:基于生物信息学分析非酒精性脂肪性肝病和结直肠癌的转录组学共病机制
- Author:
Jinqiang LIANG
1
;
Song REN
;
Chufeng WANG
;
Xin HUA
Author Information
- Publication Type:Journal Article
- Keywords: non-alcoholic fatty liver disease(NAFLD); colorectal cancer; key gene; bioinformatics; comor-bidity
- From: Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(1):149-156
- CountryChina
- Language:Chinese
- Abstract: Objective To screen and analyze biomarkers of comorbidity in nonalcoholic fatty liver disease(NAFLD)and colorectal cancer(CRC)based on bioinformatics so as to explore the mechanism of comorbidity.Methods After data related to NAFLD and CRC were downloaded from the public database(GEO),gene set enrichment analysis(GSEA)was performed for all genes to screen the expression pathways,and the common differentially expressed genes of both genes were annotated by GO and KEGG functions.Subsequently,PPI protein interaction network was constructed using STRING online database to screen key genes,and transcription factor-gene regulatory network was constructed based on key genes,and biomarker genes were identified using LASSO regression.Finally,the transcription factor prediction analysis of key genes and SCD was conducted through Network Analyst database,and the transcription factor network was constructed.Results GSEA analysis revealed that signaling pathways such as TNF-α and IL-6-JAK-STAT3 were activated in NAFLD patients.The 17 common differentially expressed genes were mainly enriched in biological processes such as bivalent inorganic cation homeostasis and neutrophil chemotaxis in GO analysis.KEGG pathway analysis showed that common differentially expressed genes were mainly concentrated in IL-17 signaling pathway.The protein interaction network screened out five key genes:TREM1,FPR1,IL1RN,S100A9,and S100A8.IL1RN and SCD,identified by LASSO regression,were validated as biomarker genes using external datasets and immunohistochemistry data from the human protein atlas(HPA)database,showing high expression in CRC tissues.A transcription factor-key comorbidity gene regulatory network was constructed using Network Analyst.Conclusion The genes for comorbidities between NAFLD and colorectal cancer discovered by bioinformatics reveal the potential pathogenesis of comorbidities,and provide ideas for cancer screening and early diagnosis of colorectal cancer in NAFLD patients.
