ArticleScientific reports2023
The amino acid metabolomics signature of differentiating myocardial infarction from strangulation death in mice models.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Fumarate hydratase downregulation in myocardial tissue: a potential biomarker for death from mechanical asphyxia.Forensic science, medicine, and pathology · 2026Article
- Relationship between amino acid metabolism and inflammation in coronary heart disease (Review).International journal of molecular medicine · 2025Review
- Phosphatase activity-based PPM1K: a key player in the regulation of mitochondrial function and its multifaceted impact in diseases.Molecular and cellular biochemistry · 2025Review
- Hydrogel-Integrated Heart-on-a-Chip Platform for Assessment of Myocardial Ischemia Markers.ACS omega · 2024Article
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Authors and funding
8 authors.
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Abstract
This study differentiates myocardial infarction (MI) and strangulation death (STR) from the perspective of amino acid metabolism. In this study, MI mice model via subcutaneous injection of isoproterenol and STR mice model by neck strangulation were constructed, and were randomly divided into control (CON), STR, mild MI (MMI), and severe MI (SMI) groups. The metabolomics profiles were obtained by liquid chromatography-mass spectrometry (LC-MS)-based untargeted metabolomics. Principal component analysis, partial least squares-discriminant analysis, volcano plots, and heatmap were used for discrepancy metabolomics analysis. Pathway enrichment analysis was performed and the expression of proteins related to metabolomics was detected using immunohistochemical and western blot methods. Differential metabolites and metabolite pathways were screened. In addition, we found the expression of PPM1K was significantly reduced in the MI group, but the expression of p-mTOR and p-S6K1 were significantly increased (all P < 0.05), especially in the SMI group (P < 0.01). The expression of Cyt-C was significantly increased in each group compared with the CON group, especially in the STR group (all P < 0.01), and the expression of AMPKα1 was significantly increased in the STR group (all P < 0.01). Our study for the first time revealed significant differences in amino acid metabolism between STR and MI.
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