Abstract
Estimation of the postmortem interval (PMI), especially the early PMI, plays a key role in forensic practice. Although several studies based on metabolomics approaches have presented significant findings for PMI estimation, most did not examine the effects of ambient temperature. In this study, gas chromatography–mass spectrometry (GC‒MS)‒based metabolomics was adopted to explore the changes in metabolites in the cardiac blood of suffocated rats at various ambient temperatures (5 °C, 15 °C, 25 °C, and 35 °C) from 0 to 24 h after death. Isoleucine, alanine, proline, valine, glycerol, glycerol phosphate, xanthine, and hypoxanthine were found to contribute to PMI in all temperature groups. Hypoxanthine and isoleucine were chosen to establish estimation models (equations) with an interpolation function using PMI as the dependent variable (f(x, y)), relative intensity as the independent variable x, and temperature as the independent variable y. Thereafter, these two models were validated with predictive samples and shown to have potential predictive ability. The findings indicate that isoleucine, alanine, proline, valine, glycerol, glycerol phosphate, xanthine, and hypoxanthine may be significant for PMI estimation at various ambient temperatures. Furthermore, a method to determine PMI based on ambient temperature and PMI-related metabolites was explored, which may provide a basis for future studies and practical applications.
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Abbreviations
- GC‒MS:
-
Gas chromatography‒mass spectrometry
- NIST:
-
National Institute of Standards and Technology
- PCA:
-
Principal component analysis
- PLS:
-
Partial least-squares
- PMI:
-
Postmortem interval
- QC:
-
Quality control
- VIP:
-
Variable importance in the projection
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This work was supported by the National Natural Sciences Foundation of China (grant numbers 82072111, 82030057) and the Scientific Research Fund of Wannan Medical College (grant number WK202105).
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Shiyong Fang: conceptualization, investigation, writing — original draft, writing — review and editing. Xinhua Dai: investigation, writing — review and editing. Xiaoling Shi: data curation, formal analysis. Li Xiao: investigation, data curation, formal analysis. Yi Ye: writing — review and editing. Linchuan Liao: conceptualization, writing — review and editing.
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Fang, S., Dai, X., Shi, X. et al. A pilot study investigating early postmortem interval of rats based on ambient temperature and postmortem interval-related metabolites in blood. Forensic Sci Med Pathol (2023). https://doi.org/10.1007/s12024-023-00643-0
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DOI: https://doi.org/10.1007/s12024-023-00643-0