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

• Published in: Science & justice 2021-09, Vol.61 (5), p.516-527
• Main Authors: Hu, Lai, Xing, Yu, Jiang, Pu, Gan, Li, Zhao, Fan, Peng, Wenli, Li, Weihan, Tong, Yanqiu, Deng, Shixiong
• Format: Article
• Language: English
• Subjects: Algorithms; Cadaver; Gastrointestinal Microbiome; High-throughput sequencing; Human gut microbiome; Humans; Microbiota; Postmortem Changes; Postmortem interval; Random Forest algorithm; RNA, Ribosomal, 16S
• ISSN: 1355-0306; 1876-4452
• DOI: 10.1016/j.scijus.2021.06.006

•There was no remarkable difference in intestinal microbiota between sexes.•The appendix might be an excellent intestinal sampling site.•Firmicutes, Bacteroidetes and their respective subclasses, showed indicated changerules in relative abundance during human decomposition.•Atopobiaceae, Muribaculaceae, Synergistaceae are abundant on day 2, days 4–6 and days 7–8 after death, respectively. 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.