摘要
死亡时间推断是法医学实践中的重点和难点,国内外法医学者一直在探寻客观、可量化和准确的死亡时间推断方法。随着高通量测序技术和人工智能技术的发展与结合,根据死后尸体相关的微生物群落演替规律建立死亡时间推断模型,成为法医学领域的研究热点。本文就利用高通量测序技术探究微生物群落在死亡时间推断中的技术方法、研究应用及影响因素等方面进行综述,为利用微生物群落推断死亡时间的相关研究提供参考。
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.
作者
向青青
陈立方
苏秦
杜宇坤
梁沛妍
康晓东
石河
徐曲毅
赵建
刘超
陈晓晖
XIANG Qing-qing;CHEN Li-fang;SU Qin;DU Yu-kun;LIANG Pei-yan;KANG Xiao-dong;SHIHe;XU Qu-yi;ZHAO Jian;LIU Chao;CHEN Xiao-hui(College of Forensic Medicine,Kunming Medical University,Kunming 650500,China;Institute of Criminal Science and Technology,Yunnan Provincial Public Security Department,Kunming 650228,China;Key Laboratory of Forensic Pathology,Ministry of Public Security,Guangzhou Forensic Science Institute,Guangzhou 510442,China;Faculty of Forensic Medicine,Zhongshan School of Medicine,Sun Yat-sen University,Guangzhou 510080,China;School of Forensic Medicine,Southern Medical University,Guangzhou 510515,China)
出处
《法医学杂志》
CAS
CSCD
2023年第4期399-405,共7页
Journal of Forensic Medicine
基金
国家自然科学基金资助项目(82371901)
广州市科技计划资助项目(2019030001,2019030012)
公安部科技强警基础工作专项(2020GABJC38)。
关键词
法医病理学
微生物组学
死亡时间推断
微生物群落
高通量测序
机器学习
综述
forensic pathology
microbiomics
postmortem interval estimation
microbial community
high-throughput sequencing
machine learning
review
