{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["13"],"submitter":["Tang J"],"pubmed_abstract":["<h4>Background</h4>The diagnosis of Myocardial Infarction (MI) requires the discovery of specific diagnostic biomarkers beyond high-sensitivity cardiac troponins. To identify causal MI-associated genes regulated by lactylation modification and elucidate their roles in metabolic-immune dysregulation.<h4>Methods</h4>This multi-omics study combined bioinformatic analyses of human MI datasets (GSE60993/GSE61144/GSE66360) with experimental validation to investigate lactylation-related genes (LRGs). Differential expression analysis (limma, P < 0.05, |log<sub>2</sub>FC|>0.585) identified 571 Differentially Expressed Genes (DEGs), which intersected with 2,051 curated lactylation-related genes (LRGs) (PubMed/GeneCards) yielding 56 lactylation-associated DEGs. Mendelian randomization (MR) utilized g"],"journal":["Frontiers in cell and developmental biology"],"pagination":["1653551"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12554677"],"repository":["biostudies-literature"],"pubmed_title":["Metabolic-immune crosstalk in myocardial infarction: RLF and SMCHD1 identified as causal therapeutic targets via integrated lactylation-MR analysis."],"pmcid":["PMC12554677"],"pubmed_authors":["Tang J","Yuan L","Han YL"],"additional_accession":[]},"is_claimable":false,"name":"Metabolic-immune crosstalk in myocardial infarction: RLF and SMCHD1 identified as causal therapeutic targets via integrated lactylation-MR analysis.","description":"<h4>Background</h4>The diagnosis of Myocardial Infarction (MI) requires the discovery of specific diagnostic biomarkers beyond high-sensitivity cardiac troponins. To identify causal MI-associated genes regulated by lactylation modification and elucidate their roles in metabolic-immune dysregulation.<h4>Methods</h4>This multi-omics study combined bioinformatic analyses of human MI datasets (GSE60993/GSE61144/GSE66360) with experimental validation to investigate lactylation-related genes (LRGs). Differential expression analysis (limma, P < 0.05, |log<sub>2</sub>FC|>0.585) identified 571 Differentially Expressed Genes (DEGs), which intersected with 2,051 curated lactylation-related genes (LRGs) (PubMed/GeneCards) yielding 56 lactylation-associated DEGs. Mendelian randomization (MR) utilized g","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-05-14T03:22:21.874Z","creation":"2026-05-14T03:12:55.485Z"},"accession":"S-EPMC12554677","cross_references":{"pubmed":["41158309"],"doi":["10.3389/fcell.2025.1653551"]}}