中医药信息2025，Vol.42Issue(2)：1-10,29,11.DOI:10.19656/j.cnki.1002-2406.20250201
基于"双心疾病"运用生物信息学及孟德尔随机化探讨重度抑郁与心力衰竭相关性
Exploring the Association Between Major Depression and Heart Failure Based on"Cardio-Mental Disorders"Using Bioinformatics and Mendelian Randomization
摘要
Abstract
Objective:To explore the association,pathway genes,and potential therapeutic targets between major depression and heart failure using bioinformatics and Mendelian randomization methods.Methods:Depression and heart failure datasets were obtained from the GEO database,and differentially expressed genes(DEGs)were screened.GO annotation and KEGG pathway enrichment analysis were performed on the DEGs.Potential therapeutic drugs were identified using the Drug-Gene Interaction Database(DGIdb).A ceRNA network was constructed using miRTarbase,miRDB,and TargetScan databases,and the correlation between KEGG predicted pathway genes and immune cells was analyzed.In addition,Mendelian randomization analysis was performed with major depression as the exposure factor and heart failure as the outcome,using significant single nucleotide polymorphisms(SNPs)related to depression as instrumental variables.Correlation tests were also applied to evaluate the stability and reliability of the results.Results:Through integrating the major depression and heart failure datasets,five DEGs were obtained.KEGG analysis identified two pathway genes(HBB,HBA1),and drugs that may treat both diseases simultaneously were identified.miRNA analysis revealed potential therapeutic targets(hsa-miR-361-3p),and found that monocytes and neutrophils in immune cells were associated with the two pathway genes.Mendelian randomization IVW analysis showed a potential positive causal relationship between major depression and heart failure risk(P=0.007<0.05,OR=1.169,95%CI:1.044-1.308,β=0.156).Conclusion:This study demonstrates a potential positive causal relationship between major depression and heart failure risk using Mendelian randomization.Additionally,bioinformatics methods revealed gene associations between the two diseases.The identified genes,drugs,and potential therapeutic targets provide new insights for clinical diagnosis and treatment.关键词
重度抑郁/心力衰竭/双心疾病/通路基因/孟德尔随机化/生物信息学Key words
Major depression/Heart failure/Cardio-mental disorders/Pathway genes/Mendelian randomization/Bioinformatics引用本文复制引用
朱赟,魏佳明,林瑞芳,刘泳君,李雅,郭志华..基于"双心疾病"运用生物信息学及孟德尔随机化探讨重度抑郁与心力衰竭相关性[J].中医药信息,2025,42(2):1-10,29,11.基金项目
国家自然科学基金项目(82174343) （82174343）
湖南省重点研发计划项目(2022SK2012) （2022SK2012）
