Predicting the postmortem interval using human intestinal microbiome data and random forest algorithm |
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Institution: | 1. Department of Forensic Medicine, Chongqing Medical University, #1 Yixueyuan Road, Chongqing 400016, China;2. School of Humanities, Chongqing Jiaotong University, #66 Xuefu Road, Chongqing 400016, China |
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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 succession rule 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. |
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Keywords: | Human gut microbiome High-throughput sequencing Postmortem interval Random Forest algorithm |
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