Identification of key genes associated with acute myocardial infarction using WGCNA and two-sample mendelian randomization study

被引:0
|
作者
Yang, Xiaohe [1 ]
Huang, Yingtao [2 ]
Tang, Dadong [3 ]
Yue, Liangming [1 ]
机构
[1] Guangyuan Hosp Tradit Chinese Med, Dept Cardiol, Guangyuan, Peoples R China
[2] Liaoning Univ Tradit Chinese Med, Dept Orthoped, Shenyang, Peoples R China
[3] Chengdu Univ Tradit Chinese Med, Sch Clin Coll Med, Chengdu, Peoples R China
来源
PLOS ONE | 2024年 / 19卷 / 07期
关键词
TUMOR-NECROSIS-FACTOR; TNF-ALPHA; ISCHEMIA; RECOVERY; CELLS;
D O I
10.1371/journal.pone.0305532
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Objective Acute myocardial infarction (AMI) is a severe condition with high morbidity and mortality rates. This study aimed to identify hub genes potentially associated with AMI and assess their clinical utility in predicting AMI occurrence.Methods Gene microarray data were obtained from the Gene Expression Omnibus (GEO) database. Differential expression analysis and weighted gene co-expression network analysis (WGCNA) were conducted on samples from patients with AMI and control samples to identify modules significantly associated with AMI. GO and KEGG analyses were applied to investigate the potential functions of these hub genes. Lastly, the mendelian randomization (MR) method was applied to analyze the causal relationship between the hub gene TNF and AMI.Results 285 differentially expressed genes (DEGs) were identified through WCGNA and were clustered into 6 modules. The yellow module appeared most relevant to AMI. Further exploration through GO and KEGG pathway enrichment showed that key hub genes in the yellow module were linked to positive regulation of cytokine production, cytokine receptor binding, NF-kappa B signaling pathway, IL-17 signaling pathway, and TNF signaling pathway. The top 10 genes identified through Cytoscape software analysis were IL1B, TNF, TLR4, TLR2, FCGR3B, MMP9, CXCL8, TLR8, ICAM1, and JUK. Utilizing inverse variance weighting (IVW) analysis, we discovered a significant association between TNF and AMI risk, with an OR of 0.946 (95% CI = 0.911-0.984, p = 0.005).Conclusions The result of this study indicated that TNF, TLR2, TLR4, IL1B and FCGR3B may be potential biodiagnostic markers for AMI. TNF can inhibit inflammatory and oxidative stress responses in AMI, exerting a protective role in the heart.
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页数:16
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