Postmortem submersion interval prediction model based on the rat muscle microbiome

The rat skeletal muscle microbiome undergoes a regular and predictable post-mortem succession unrelated to the cause of death. The stable "microbial clock" within the internal tissue allows the construction of a high-precision two-stage machine learning model for PMSI estimation. Our results establish skeletal muscle as a highly promising new target for forensic microbiology, offering a robust theoretical basis and technical approach to resolving challenges in long-term PMSI estimation.

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Publication Details

Journal
Frontiers in Microbiology
Published
2026-01-08
DOI
https://doi.org/10.3389/fmicb.2025.1685097
Primary Topic
Injury Epidemiology and Prevention
Type
article
Field-Weighted Citation Impact
0.00

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article

Postmortem submersion interval prediction model based on the rat muscle microbiome

Er-Wen Huang, Xuebin Liao, Zhen Gao, Cheng-Dong Ma et al.
Frontiers in Microbiology
Injury Epidemiology and Prevention
article

Postmortem submersion interval prediction model based on the rat muscle microbiome

Er-Wen Huang, Xuebin Liao, Zhen Gao, Cheng-Dong Ma, Hu Zhao, Shu-Quan Zhao, Jia-Cheng Yue
article en

Abstract

The rat skeletal muscle microbiome undergoes a regular and predictable post-mortem succession unrelated to the cause of death. The stable "microbial clock" within the internal tissue allows the construction of a high-precision two-stage machine learning model for PMSI estimation. Our results establish skeletal muscle as a highly promising new target for forensic microbiology, offering a robust theoretical basis and technical approach to resolving challenges in long-term PMSI estimation.

Frontiers in MicrobiologyVol. 16
Sun Yat-sen University (CN), Sun Yat-sen Memorial Hospital (CN), Shanghai Public Security Bureau (CN), Material Sciences (United States) (US)
Natural Science Foundation of Guangdong Province
Openalex Percentile: Top 95%
Injury Epidemiology and Prevention
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Postmortem submersion interval prediction model based on the rat muscle microbiome — Er-Wen Huang, Xuebin Liao, et al. · Frontiers in Microbiology (2026) | TGRS Research Map | TGRS