Metabonomics Analysis of Brain Stem Tissue in Rats with Primary Brain Stem Injury Caused Death.
10.12116/j.issn.1004-5619.2022.420510
- Author:
Qin SU
1
;
Qian-Ling CHEN
2
;
Wei-Bin WU
1
;
Qing-Qing XIANG
1
;
Cheng-Liang YANG
2
;
Dong-Fang QIAO
2
;
Zhi-Gang LI
1
Author Information
1. Key Laboratory of Forensic Pathology, Ministry of Public Security, Guangzhou Forensic Science Institute, Guangzhou 510442, China.
2. School of Forensic Medicine, Southern Medical University, Guangzhou 510515, China.
- Publication Type:Journal Article
- Keywords:
cause of death;
forensic pathology;
liquid chromato-graphy-mass spectroscopy (LC-MS);
metabonomics;
partial least square-discriminant analysis (PLS-DA);
primary brain stem injury;
random forest algorithm;
rats
- MeSH:
Rats;
Animals;
Metabolomics/methods*;
Brain Injuries;
Biomarkers/metabolism*;
Brain Stem/metabolism*
- From:
Journal of Forensic Medicine
2023;39(4):373-381
- CountryChina
- Language:English
-
Abstract:
OBJECTIVES:To explore the potential biomarkers for the diagnosis of primary brain stem injury (PBSI) by using metabonomics method to observe the changes of metabolites in rats with PBSI caused death.
METHODS:PBSI, non-brain stem brain injury and decapitation rat models were established, and metabolic maps of brain stem were obtained by LC-MS metabonomics method and annotated to the HMDB database. Partial least square-discriminant analysis (PLS-DA) and random forest methods were used to screen potential biomarkers associated with PBSI diagnosis.
RESULTS:Eighty-six potential metabolic markers associated with PBSI were screened by PLS-DA. They were modeled and predicted by random forest algorithm with an accuracy rate of 83.3%. The 818 metabolic markers annotated to HMDB database were used for random forest modeling and prediction, and the accuracy rate was 88.9%. According to the importance in the identification of cause of death, the most important metabolic markers that were significantly up-regulated in PBSI group were HMDB0038126 (genipinic acid, GA), HMDB0013272 (N-lauroylglycine), HMDB0005199 [(R)-salsolinol] and HMDB0013645 (N,N-dimethylsphingosine).
CONCLUSIONS:GA, N-lauroylglycine, (R)-salsolinol and N,N-dimethylsphingosine are expected to be important metabolite indicators in the diagnosis of PBSI caused death, thus providing clues for forensic medicine practice.
