Value of a clinical diagnostic model of heart failure based on disulfidptosis-related genes
Li Sheng
Chen Xia
Yang Peiyao
Guo Yanli
Wang Li
Ma Ketao
Abstract:Objective To explore the value of a clinical diagnostic model of heart failure(HF)based on disulfidptosis-related genes.Methods The differentially expressed disulfidetosis-related genes from the training set of Gene Expression Omnibus Series(GSE)57345 were obtained,and then analyzed with Gene Ontology(GO),Kyoto Encyclopedia of Genes and Genomes(KEGG)en-richment analysis,and Metascape disease enrichment analysis.Six male C57BL/6J mice were ran-domly divided into control group(intraperitoneal injection of normal saline)and HF group(intra-peritoneal injection of isoproterenol),with 3 mice in each group.Real-time quantitative PCR was applied to detect the expression levels of key genes.Results GO enrichment analysis revealed that the differentially expressed disulfidetosis-related genes were mainly involved in platelet aggrega-tion and other aspects.KEGG showed they were significantly enriched in tight junctions,vascular smooth muscle contraction and other signaling pathways.Metascape enrichment analysis indicated that these genes were mainly related to focal glomerulosclerosis,glomerular disease,platelet dis-ease,tumor infiltration,nephrotic syndrome and other diseases.The HF group had significantly higher heart weight-to-body weight ratio,and lower ejection fraction,fractional shortening,cardiac output and stroke volume than the control group(P<0.05,P<0.01).The cardiac mRNA levels of BNP and MYH10 were significantly higher[1.026±0.501 vs 0.686±0.187,P=0.038;1.469(1.782,2.670)vs 0.360(0.786,1.117),P=0.000],while those of MYL6 and TLN1 was obviously lower(0.575±0.105 vs 1.000±0.202,P=0.027;0.429±0.114 vs 1.000±0.109,P=0.000)in the HF group than the control group.Conclusion Our constructed HF diagnostic model has better di-agnostic performance.
Keywords:heart failurecomputational biologyimmunitycellulargene expression
Publication Date:2025-03-14
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:4( 370-373 )
