基于大鼠肌肉微生物组的死后潜水间隔预测模型
Cheng-Dong Ma1,2, Xin-Biao Liao2, Jia-Cheng Yue1,3
1Faculty of Forensic Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
Frontiers in microbiology
|January 30, 2026
概括
法医科学家现在可以使用骨肌肉微生物组变化估计死后沉浸间隔 (PMSI). 这种可预测的微生物继承,独立于溺水,有助于准确的死亡时间估计.
科学领域:
- 法医微生物学 法医微生物学
- 微生物生态学 微生物生态学
- 生物信息学是一种生物信息学.
背景情况:
- 准确的死后潜水间隔 (PMSI) 估计在法医科学中至关重要.
- 目前的方法通常依赖于易受污染的外部因素.
- 内部组织,如骨肌肉,为微生物分析提供了潜在的更稳定的环境.
研究的目的:
- 为了研究沉浸后骨肌肉中可预测的微生物继承.
- 开发一个高精度的PMSI预测模型,独立于死亡原因 (溺水与死后沉浸).
主要方法:
- 已建立的溺水和死后潜水老鼠模型.
- 在潜水后的14天内收集了骨肌肉样本.
- 利用16S rRNA基因测序和机器学习 (随机森林) 进行微生物分析和模型开发.
主要成果:
- 骨肌肉微生物组显示出明显的早期 (0-3天) 和晚期 (5-14天) 连续阶段.
- 微生物的继承独立于死亡原因.
- 一个两阶段的预测模型在阶段分类中实现了90.9%的准确性和时间估计的低平均绝对误差.
结论:
- 鼠的骨肌微生物组显示出可预测的死后继承,作为可靠的"微生物钟".
- 这种内部微生物的继承不受死亡原因的影响.
- 骨肌肉是开发强大,高精度的PMSI估计模型在法医科学的有前途的目标.
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