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Urine Metabolites Changes in Acute Myocardial Infarction Rats via Metabolomic Analysis.
Chen, Nian-Nian; Yu, Jiao-Fang; Wu, Peng; Luo, Li; Bai, Ya-Qin; Wang, Li-Kai; Li, Xiao-Qian; Li, Zhan-Peng; Gao, Cai-Rong; Guo, Xiang-Jie.
Affiliation
  • Chen NN; School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China.
  • Yu JF; Yinzhou District Public Security Judicial Appraisal Center, Ningbo 315100, Zhejiang Province, China.
  • Wu P; School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China.
  • Luo L; School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China.
  • Bai YQ; School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China.
  • Wang LK; School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China.
  • Li XQ; School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China.
  • Li ZP; School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China.
  • Gao CR; School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China.
  • Guo XJ; School of Forensic Medicine, Shanxi Medical University, Jinzhong 030600, Shanxi Province, China.
Fa Yi Xue Za Zhi ; 40(3): 227-236, 2024 Jun 25.
Article in En, Zh | MEDLINE | ID: mdl-39166303
ABSTRACT

OBJECTIVES:

To screen biomarkers for forensic identification of acute myocardial infarction (AMI) by non-targeted metabolomic studies on changes of urine metabolites in rats with AMI.

METHODS:

The rat models of the sham surgery group, AMI group and hyperlipidemia + acute myocardial infarction (HAMI) group were established. Ultra-high performance liquid chromatography-mass spectrometry (UPLC-MS) was used to analyze the changes of urine metabolic spectrometry in AMI rats. Principal component analysis, partial least squares-discriminant analysis, and orthogonal partial least squares-discriminant analysis were used to screen differential metabolites. The MetaboAnalyst database was used to analyze the metabolic pathway enrichment and access the predictive ability of differential metabolites.

RESULTS:

A total of 40 and 61 differential metabolites associated with AMI and HAMI were screened, respectively. Among them, 22 metabolites were common in both rat models. These small metabolites were mainly concentrated in the niacin and nicotinamide metabolic pathways. Within the 95% confidence interval, the area under the curve (AUC) values of receiver operator characteristic curve for N8-acetylspermidine, 3-methylhistamine, and thymine were greater than 0.95.

CONCLUSIONS:

N8-acetylspermidine, 3-methylhistamine, and thymine can be used as potential biomarkers for AMI diagnosis, and abnormal metabolism in niacin and nicotinamide may be the main causes of AMI. This study can provide reference for the mechanism and causes of AMI identification.
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Full text: 1 Database: MEDLINE Main subject: Biomarkers / Disease Models, Animal / Metabolomics / Myocardial Infarction Limits: Animals Language: En / Zh Journal: Fa Yi Xue Za Zhi Journal subject: JURISPRUDENCIA Year: 2024 Type: Article Affiliation country: China

Full text: 1 Database: MEDLINE Main subject: Biomarkers / Disease Models, Animal / Metabolomics / Myocardial Infarction Limits: Animals Language: En / Zh Journal: Fa Yi Xue Za Zhi Journal subject: JURISPRUDENCIA Year: 2024 Type: Article Affiliation country: China