ArticleAging2023
ACSL1, CH25H, GPCPD1, and PLA2G12A as the potential lipid-related diagnostic biomarkers of acute myocardial infarction.
Article in Aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The trial behind it
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Who cites it
11 citing papers in PubMed, 12 citations in OpenAlex.
- Integrated bioinformatics analysis, machine learning, and experimental validation reveal that ACSL1 drives myocardial ischemia reperfusion injury via ferroptosis.Journal of bioenergetics and biomembranes · 2026Article
- ZFP36L1 Enhances Microglial Ferroptosis in Ischemic Stroke by Reducing FTO-Mediated N6-Methyladenosine Demethylation of ACSL1 mRNA.The Kaohsiung journal of medical sciences · 2026Article
- Identification of key mitochondria-related genes in necrotizing enterocolitis using single-cell hdWGCNA and experimental verification.Pediatric research · 2026Article
- Identification of lipid metabolism-related genes in myocardial infarction: implications for diagnosis and therapy.Journal of cardiothoracic surgery · 2025Article
- Identification of mitophagy-related genes in patients with acute myocardial infarction.Hereditas · 2025Article
- An exploratory study of high-throughput transcriptomic analysis reveals novel mRNA biomarkers for acute myocardial infarction using integrated methods.Scientific reports · 2025Article
- Platelet-Derived Microvesicles Mediate Cardiomyocyte Ferroptosis by Transferring ACSL1 During Acute Myocardial Infarction.Molecular biotechnology · 2025Article
- Ferroptosis genes and ST-segment elevation myocardial infarction outcomes: A predictive signature.Heliyon · 2025Article
- Identification of mitochondria-related gene biomarkers associated with immune infiltration in acute myocardial infarction.iScience · 2024Article
- Ferroptosis and Lipid Metabolism in Acute Myocardial Infarction.Reviews in cardiovascular medicine · 2024Review
- The Diagnostic Value of ACSL1, ACSL4, and ACSL5 and the Clinical Potential of an ACSL Inhibitor in Non-Small-Cell Lung Cancer.Cancers · 2024Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lipid metabolism plays an essential role in the genesis and progress of acute myocardial infarction (AMI). Herein, we identified and verified latent lipid-related genes involved in AMI by bioinformatic analysis. Lipid-related differentially expressed genes (DEGs) involved in AMI were identified using the GSE66360 dataset from the Gene Expression Omnibus (GEO) database and R software packages. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted to analyze lipid-related DEGs. Lipid-related genes were identified by two machine learning techniques: least absolute shrinkage and selection operator (LASSO) regression and support vector machine recursive feature elimination (SVM-RFE). The receiver operating characteristic (ROC) curves were used to descript diagnostic accuracy. Furthermore, blood samples were collected from AMI patients and healthy individuals, and real-time quantitative polymerase chain reaction (RT-qPCR) was used to determine the RNA levels of four lipid-related DEGs. Fifty lipid-related DEGs were identified, 28 upregulated and 22 downregulated. Several enrichment terms related to lipid metabolism were found by GO and KEGG enrichment analyses. After LASSO and SVM-RFE screening, four genes (
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Registered trials
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