The amino acid metabolomics signature of differentiating myocardial infarction from strangulation death in mice models

Author:

Wang Song-Jun,Liu Bing-Rui,Zhang Fu,Su Xiao-Rui,Li Ya-Ping,Yang Chen-Teng,Zhang Zhi-Hua,Cong Bin

Abstract

AbstractThis 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.

Funder

Science and technology research project of colleges and universities in Hebei Province

The Open Project of the Key Laboratory of Forensic Pathology of the Ministry of Public Security

Hebei Provincial Department of Finance Senile Disease Prevention Project

Key projects of National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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