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Related Experiment Video

Updated: Oct 21, 2025

An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota

An In Vitro Batch-culture Model to Estimate the Effects of Interventional Regimens on Human Fecal Microbiota

Published on: July 31, 2019

Predicting the postmortem interval using human intestinal microbiome data and random forest algorithm.

Lai Hu¹, Yu Xing¹, Pu Jiang¹

¹Department of Forensic Medicine, Chongqing Medical University, #1 Yixueyuan Road, Chongqing 400016, China.

Science & Justice : Journal of the Forensic Science Society

|September 6, 2021

Summary

This summary is machine-generated.

Changes in gut bacteria after death can estimate time of death. The appendix

Keywords:

High-throughput sequencing Human gut microbiome Postmortem interval Random Forest algorithm

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Area of Science:

Forensic microbiology
Microbial ecology
Decomposition studies

Background:

Postmortem interval (PMI) estimation is crucial in forensic science.
Gut microflora composition changes predictably after death.
The vermiform appendix as a sampling site for PMI determination is under-explored.

Purpose of the Study:

To investigate the potential of gut microbial succession in the human appendix for postmortem interval estimation.
To identify predictable changes in gut microbiota composition during human decomposition.
To develop a model for correlating gut microbial data with PMI.

Main Methods:

Collection of gut microflora samples from the vermiform appendix and transverse colon of human cadavers.
Analysis of microbial community composition and relative abundance over a postmortem interval range of 5 to 192 hours.
Development of a Random Forest regression model to correlate gut microbiota with PMI.

Main Results:

The appendix was identified as a suitable site for intestinal sampling for PMI estimation.
A predictable succession rule was observed in the appendix flora during decomposition.
Specific bacterial phyla (Firmicutes, Bacteroidetes) and their subclasses exhibited predictable abundance changes over time.
The Random Forest model showed potential for correlating gut microbiota with PMI.

Conclusions:

The study highlights the appendix as a valuable site for microbial sampling in forensic investigations.
Microbial succession in the human appendix offers a promising new method for estimating the time of death.
Findings contribute to the understanding of gut microbiota dynamics during human decomposition.