利用微生物菌群演化及免疫系统的影响辅助 推算死后时间

Postmortem Microbial Succession and Role of the Immune System in PMI Estimation

  • 摘要: 准确推算非正常死亡间隔时间(PMI),是法医需要面对的首要问题之一。基于分析死者体内特定微生物标 志物的演变规律来量化死亡时间,具有科学性和精确性。同时,免疫系统与体内微生物群结构相互作用。为准确推 算 PMI 提供了新的研究方向。采用 DNA 二代测序技术,深入研究描述微生物群落动态变化,为推算 PMI 提供了重 要依据。本文通过用 Illumina MiSeq 测序法分析高变区域的短片段、用 Nanopore (MinION) 测序法进行全测序的 特点,对比了 16S 核糖体 RNA(16S ribosomal RNA)扩增测序实验,并详细梳理了建立死亡时间模型的历程,肯 定了 AI 技术的辅助推动作用。本文还建议更多关注微生物群与免疫系统的关系,肯定了微生物学在法医科学领域 的重要价值。

     

    Abstract: Postmortem interval (PMI)estimation is the first,and most critical topic of forensic science. Using specific microbiome biomarkers to quantify PMI is more accurate and can exclude bias. Since immune system have great impact on microbiome components,to better understand post-mortem changes of microbiome,one need to take immune system status into consideration. Using Next-generation sequence (NGS) techenique,such as Illumina MiSeq and Nanopore (MinION),one can quantify specific microbiome marker by analyzing16S ribosomal RNA. Also,AI technique contribute to generate more accurate model of PMI base on postmortem microbiome succession,making postmortem microbiology a valuable tool in PMI estimation.

     

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