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Hu L, Xing Y, Jiang P, et al. Predicting the postmortem interval using human intestinal microbiome data and random forest algorithm. Sci Justice. 2021;61(5):516-527doi: 10.1016/j.scijus.2021.06.006.
Hu, L., Xing, Y., Jiang, P., Gan, L., Zhao, F., Peng, W., Li, W., Tong, Y., & Deng, S. (2021). Predicting the postmortem interval using human intestinal microbiome data and random forest algorithm. Science & justice : journal of the Forensic Science Society, 61(5), 516-527. https://doi.org/10.1016/j.scijus.2021.06.006
Hu, Lai, et al. "Predicting the postmortem interval using human intestinal microbiome data and random forest algorithm." Science & justice : journal of the Forensic Science Society vol. 61,5 (2021): 516-527. doi: https://doi.org/10.1016/j.scijus.2021.06.006
Hu L, Xing Y, Jiang P, Gan L, Zhao F, Peng W, Li W, Tong Y, Deng S. Predicting the postmortem interval using human intestinal microbiome data and random forest algorithm. Sci Justice. 2021 Sep;61(5):516-527. doi: 10.1016/j.scijus.2021.06.006. Epub 2021 Jun 25. PMID: 34482931.
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Sci Justice. 2021 Sep;61(5):516-527. doi: 10.1016/j.scijus.2021.06.006. Epub 2021 Jun 25.

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

Science & justice : journal of the Forensic Science Society

Lai Hu, Yu Xing, Pu Jiang, Li Gan, Fan Zhao, Wenli Peng, Weihan Li, Yanqiu Tong, Shixiong Deng

Affiliations

  1. Department of Forensic Medicine, Chongqing Medical University, #1 Yixueyuan Road, Chongqing 400016, China.
  2. Department of Forensic Medicine, Chongqing Medical University, #1 Yixueyuan Road, Chongqing 400016, China; School of Humanities, Chongqing Jiaotong University, #66 Xuefu Road, Chongqing 400016, China.
  3. Department of Forensic Medicine, Chongqing Medical University, #1 Yixueyuan Road, Chongqing 400016, China. Electronic address: [email protected].

PMID: 34482931 DOI: 10.1016/j.scijus.2021.06.006

Abstract

Gradual changes in microbial communities in a human body after death can be used to determine postmortem interval (PMI). In this study, gut microflora samples were collected from the vermiform appendix and the transverse colon of human cadavers with PMIs between 5 and 192 h. The results revealed that the appendix might be an excellent intestinal sampling site and the appendix flora had an inferred succession rule during human body decomposition. Firmicutes, Bacteroidetes, and their respective subclasses showed a predictable successionrule in relative abundance over time. A Random Forest regression model was developed to correlate human gut microbiota with PMI. We believe that our findings have increased the knowledge of the composition and abundance of the gut microbiota in human corpses, and suggest that the use of the human appendix microbial succession may be a potential method for forensic estimation of the time of death.

Copyright © 2021 The Chartered Society of Forensic Sciences. Published by Elsevier B.V. All rights reserved.

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

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