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.
Authors
- Er-Wen Huang
- Xuebin Liao (ORCID: https://orcid.org/0000-0002-0290-894X)
- Zhen Gao (ORCID: https://orcid.org/0000-0002-3849-6000)
- Cheng-Dong Ma
- Hu Zhao
- Shu-Quan Zhao
- Jia-Cheng Yue
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Shanghai Public Security Bureau (CN)
- Material Sciences (United States) (US)
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
Funders
- Natural Science Foundation of Guangdong Province