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Integrated bioinformatics analysis reveals cross-talking hub genes and therapeutic agents between sepsis and acute myocardial infarction.

Lihuimei Zhou·Wenhao Chen·Jiafu Li·Muhu Chen
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Abstract

BACKGROUND: Sepsis and acute myocardial infarction (AMI) are two significant diseases that may share overlapping etiological mechanisms. This study aims to systematically identify core genes common to both conditions and to explore their potential as therapeutic targets and drug candidates through an integrative analysis of clinical data and bioinformatics. METHODS: The AMI dataset was obtained from the GEO database, and RNA sequencing data were collected from blood samples of patients with sepsis at our hospital. Common genes were identified using differential expression gene analysis (DEG) and weighted gene co-expression network analysis (WGCNA). Functional enrichment analyses, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, were performed. A protein-protein interaction (PPI) network was constructed, and hub genes were identified using the MCC/Degree algorithm. Diagnostic value was assessed via receiver operating characteristic curve analysis. Immune infiltration patterns, single-cell sequencing data, and molecular docking simulations were employed to evaluate immune relevance and identify potential therapeutic compounds. RESULTS: A total of 417 genes were identified between sepsis and AMI, with enrichment analysis revealing significant involvement in inflammatory responses. Three hub genes-JAK2, MYD88, and TIMP1-were selected for further investigation. ROC curves confirmed their strong diagnostic performance for both diseases. Immune infiltration analysis showed that these core genes were significantly correlated with the infiltration levels of various immune cell types. Molecular docking indicated that quercetin exhibited stable binding affinity with the proteins encoded by these genes. qPCR validation further confirmed the upregulation of these three genes, supporting the anti-inflammatory effects of quercetin as a potential targeted therapy. CONCLUSION: JAK2, MYD88, and TIMP1 were identified as shared core genes in sepsis and AMI. These genes not only serve as potential diagnostic biomarkers but also offer novel targets for developing common therapeutic strategies for both conditions. Furthermore, quercetin emerges as a promising candidate for targeted treatment.

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HumansSepsisMyocardial InfarctionComputational BiologyProtein Interaction MapsMolecular Docking SimulationTissue Inhibitor of Metalloproteinase-1Janus Kinase 2Gene Expression ProfilingGene Regulatory NetworksGene OntologyROC CurveBioinformatics analysisacute myocardial infarctionhub genesimmune cell infiltrationmolecular dockingsepsisJournal ArticleResearch Support, Non-U.S. Gov't

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Lihuimei Zhou, Wenhao Chen, Jiafu Li, Muhu Chen. 2026-03-21. Integrated bioinformatics analysis reveals cross-talking hub genes and therapeutic agents between sepsis and acute myocardial infarction.. https://doi.org/10.1080/07853890.2026.2645276

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Computational Biology subjectGene Expression Profiling subjectGene Regulatory Networks subjectHumans subjectJanus Kinase 2 subjectJournal Article subjectJournal Article; Research Support, Non-U.S. Gov't resourceMyocardial Infarction subject

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