ArticleScientific reports2024
Targeted metabolomic profiling of acute ST-segment elevation myocardial infarction.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Correlation analysis of serum SERPINA3, CLEC2 and hs-CRP/ALB with major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI) in STEMI.Journal of medical biochemistry · 2026Article
- Plasma amino acid concentrations at admission and 28-day mortality in ST-elevation myocardial infarction.Nutrition & metabolism · 2026Article
- Plasma and pericardial fluid metabolomic signatures of patients with ischemic heart disease.Communications medicine · 2026Article
- Early diagnostic biomarkers for acute myocardial infarction unveiled by metabolomics, Mendelian randomization, and machine learning.Molecular biomedicine · 2026Article
- The tryptophan-kynurenine pathway in cardiovascular diseases: mechanistic insights and therapeutic opportunities.Frontiers in cardiovascular medicine · 2026Review
- A metabolomics study reveals potential plasma biomarkers for predicting post-infarction left ventricular remodeling: findings from the metabolights database.Frontiers in cardiovascular medicine · 2025Article
- Metabolomics in Atrial Fibrillation: Unlocking Novel Biomarkers and Pathways for Diagnosis, Prognosis, and Personalized Treatment.Journal of clinical medicine · 2024Review
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Authors and funding
16 authors.
Funding
Abstract
Myocardial infarction is a major cause of morbidity and mortality worldwide. Metabolomic investigations may be useful for understanding the pathogenesis of ST-segment elevation myocardial infarction (STEMI). STEMI patients were comprehensively examined via targeted metabolomic profiling, machine learning and weighted correlation network analysis. A total of 195 subjects, including 68 STEMI patients, 84 patients with stable angina pectoris (SAP) and 43 non-CVD patients, were enrolled in the study. Metabolomic profiling involving the quantitative analysis of 87 endogenous metabolites in plasma was conducted. This study is the first to perform targeted metabolomic profiling in patients with STEMI. We identified 36 significantly altered metabolites in STEMI patients. Increased levels of four amino acids, eight acylcarnitines, six metabolites of the NO-urea cycle and neurotransmitters, and three intermediates of tryptophan metabolism were detected. The following metabolites exhibited decreased levels: six amino acids, three acylcarnitines, three components of the NO-urea cycle and neurotransmitters, and three intermediates of tryptophan metabolism. We found that the significant changes in tryptophan metabolism observed in STEMI patients-the increase in anthranilic acid and tryptophol and decrease in xanthurenic acid and 3-OH-kynurenine-may play important roles in STEMI pathogenesis. On the basis of the differences in the constructed weighted correlation networks, new significant metabolite ratios were identified. Among the 22 significantly altered metabolite ratios identified, 13 were between STEMI patients and non-CVD patients, and 17 were between STEMI patients and SAP patients. Seven of these ratios were common to both comparisons (STEMI patients vs. non-CVD patients and STEMI patients vs. SAP patients). Additionally, two ratios were consistently observed among the STEMI, SAP and non-CVD groups (anthranilic acid: aspartic acid and GSG (glutamine: serine + glycine)). These findings provide new insight into the diagnosis and pathogenesis of STEMI.
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