Exploring biomarkers for identifying acute myocardial infarction based on lipidomics

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ABSTRACT

Acute myocardial infarction(AMI) is one of the most common causes of sudden cardiac death, but the accurate AMI identification biomarkers are still lacking. Recently, lipidomics shed new light on the exploration of AMI biomarkers. In this study, lipid molecules were examined in rat myocardial tissue based on Liquid chromatography-tandem mass spectrometry (LC-MS/MS) lipidomics to screen for metabolic markers for the identification of AMI. Results showed that 70 lipid molecules with different expressions identified by distinguishing between the sham group and the AMI 5 min group, 275 differentially expressed lipid molecules identified by distinguishing between the sham group and the AMI 4 hour group. And 257 differentially expressed lipid molecules identified by distinguishing between the AMI 5 min group and the AMI 4 hour group. Comprehensive analysis shows that PC (18:0_18:1)+HCOO and PC (16:0_18:2)+HCOO exhibited more significant changes. Two lipid molecules were applied to build AMI-identification models, the accuracy rate reached 77.8% and R² = 0.539.

KEYWORDS:

• Acute myocardial infarction
• lipidomics
• cause of death
• phosphatidylcholine

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by National Natural Science Foundation of China [No. 82002006 and 82030058], Qingchuang Talents Induction Program of Shandong Higher Education Institution (2022 Forensic medicine innovation team) and Open project of Shanghai Key Laboratory of Forensic Medicine, Key lab of Forensic Science, Ministry of Justice, China (KF202206), Shandong Province Key R&D Program, Natural Science Foundation of Shandong (No. ZR2022QH337), (Major Science and Technology Innovation Project) Project [2021CXGC011305].