Mechanistic study on the role of disulfidptosis-related genes in metabolism-associated fatty liver disease
- VernacularTitle:基于生物信息学分析双硫死亡相关基因在代谢相关脂肪性肝病中的作用
- Author:
Yongqiang XIONG
1
;
Bo WANG
;
Jiyun WANG
;
Ren LI
;
Shu ZHANG
Author Information
- Publication Type:Journal Article
- Keywords: metabolism-associated fatty liver disease(MAFLD); disulfidptosis; immune status; bioinformatics
- From: Journal of Xi'an Jiaotong University(Medical Sciences) 2025;46(2):249-256
- CountryChina
- Language:Chinese
- Abstract: Objective To explore the mechanism underlying the role of disulfidptosis-related genes(DRGs)in the disease progression of metabolically associated fatty liver disease(MAFLD)based on bioinformatics.Methods In this study,the GEO database was utilized to screen for eligible MAFLD expression data,conduct differential gene analysis,and identify DRGs through consistent clustering to subtype MAFLD patients.The immune infiltration status among subtypes was further evaluated,and the infiltration of immune cells was analyzed using the CIBERSORT algorithm.The gene modules related to the disease were selected through weighted gene co-expression network analysis(WGCNA).Subsequently,a diagnostic model was constructed based on DRGs using machine learning models,and the performance of the model was verified.Finally,the stability of DRGs among different subtypes was evaluated using an external dataset,and the significance of the results was analyzed using statistical tests.Results Through the analysis of the dataset GSE31803,six disulfide death genes,namely,SLC3A2,NCKAP1,CYFIP1,FLNA,MYL6 and MYH10,which were closely related to the clinical characteristics of MAFLD,were screened out.MAFLD patients were classified into two subtypes,with subtype 1 having a higher level of immune cell infiltration.Key gene modules were identified through WGCNA.Through machine learning screening,the support vector machine(SVM)model was determined as the optimal classification model.External validation confirmed the stability and effectiveness of the key genes in different subtypes of MAFLD.Conclusion Based on DRGs,two highly heterogeneous subtypes of MAFLD were identified,which exhibited significant differences in clinical characteristics,biological processes and immune status,indicating that DRGs play a crucial role in the occurrence and development of MAFLD.
