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Wang SJ, Liu BR, Zhang F, Su XR, Li YP, Yang CT, Zhang ZH, Cong B. The amino acid metabolomics signature of differentiating myocardial infarction from strangulation death in mice models. Sci Rep 2023; 13:14999. [PMID: 37696922 PMCID: PMC10495377 DOI: 10.1038/s41598-023-41819-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Accepted: 08/31/2023] [Indexed: 09/13/2023] Open
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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Affiliation(s)
- Song-Jun Wang
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, No. 361 Zhongshan East Road, Chang'an District, Shijiazhuang, 050017, Hebei, China
| | - Bing-Rui Liu
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, No. 361 Zhongshan East Road, Chang'an District, Shijiazhuang, 050017, Hebei, China
| | - Fu Zhang
- Forensic Pathology Lab, Guangdong Public Security Department, Guangzhou, China
| | - Xiao-Rui Su
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, No. 361 Zhongshan East Road, Chang'an District, Shijiazhuang, 050017, Hebei, China
| | - Ya-Ping Li
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, No. 361 Zhongshan East Road, Chang'an District, Shijiazhuang, 050017, Hebei, China
| | - Chen-Teng Yang
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, No. 361 Zhongshan East Road, Chang'an District, Shijiazhuang, 050017, Hebei, China
| | - Zhi-Hua Zhang
- Department of Science and Education, Hebei Chest Hospital, No. 372 Shengli North Street, Chang'an District, Shijiazhuang, 050041, Hebei, China.
| | - Bin Cong
- College of Forensic Medicine, Hebei Medical University, Hebei Key Laboratory of Forensic Medicine, Collaborative Innovation Center of Forensic Medical Molecular Identification, No. 361 Zhongshan East Road, Chang'an District, Shijiazhuang, 050017, Hebei, China.
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