Research Progress on Microbial Community Succession in the Postmortem Interval Estimation.

Q3 Medicine
Qing-Qing Xiang, Li-Fang Chen, Qin Su, Yu-Kun DU, Pei-Yan Liang, Xiao-Dong Kang, He Shi, Qu-Yi Xu, Jian Zhao, Chao Liu, Xiao-Hui Chen
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引用次数: 0

Abstract

The postmortem interval (PMI) estimation is a key and difficult point in the practice of forensic medicine, and forensic scientists at home and abroad have been searching for objective, quantifiable and accurate methods of PMI estimation. With the development and combination of high-throughput sequencing technology and artificial intelligence technology, the establishment of PMI model based on the succession of the microbial community on corpses has become a research focus in the field of forensic medicine. This paper reviews the technical methods, research applications and influencing factors of microbial community in PMI estimation explored by using high-throughput sequencing technology, to provide a reference for the related research on the use of microbial community to estimate PMI.

微生物群落演替在死后时间间隔估计中的研究进展。
尸检时间间隔(PMI)估计是法医学实践中的一个重点和难点,国内外法医学家一直在寻找客观、可量化、准确的PMI估计方法。随着高通量测序技术与人工智能技术的发展和结合,基于尸体微生物群落演替建立PMI模型已成为法医学领域的研究热点。本文综述了利用高通量测序技术探索的微生物群落在PMI估算中的技术方法、研究应用和影响因素,为利用微生物群落估算PMI的相关研究提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
法医学杂志
法医学杂志 Medicine-Pathology and Forensic Medicine
CiteScore
1.50
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0.00%
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