Postmortem interval deduction method based on microbiome sequencing data and machine learning algorithms

A technology of death time and microbes, which is applied in the field of medical testing, can solve problems such as constraints, reducing the reliability of prediction results, and lack of versatility, so as to achieve the effect of improving accuracy

Active Publication Date: 2020-05-29
XI AN JIAOTONG UNIV
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Problems solved by technology

However, it still adopts the currently popular model of first analyzing the relevant microorganisms, and then establishing the relationship between specific microorganisms and the death interval time. At the same time, the sampling time interval is relatively wide, which reduces the credibility of the prediction

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  • Postmortem interval deduction method based on microbiome sequencing data and machine learning algorithms
  • Postmortem interval deduction method based on microbiome sequencing data and machine learning algorithms
  • Postmortem interval deduction method based on microbiome sequencing data and machine learning algorithms

Examples

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Embodiment Construction

[0028] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments. The examples are only used to explain the present invention, rather than to limit the protection scope of the present invention.

[0029] This example takes the prediction of the postmortem interval time of mice as an example, and specifically illustrates the method for estimating the time of death based on microbiome sequencing technology and machine learning algorithms. This method is also applicable to human or other mammal corpses.

[0030] 1. Sample DNA collection

[0031] Within 15 days after death of C57BL / 6 mice (n=8~24) (10 time points: 0 hour, 8 hours, 12 hours, 1 day, 2 days, 4 days, 7 days, 10 days, 13 days, and 15 days) of organ tissue samples (organ tissue types are specifically brain, heart or cecum) as a template, primers are designed for the 16S rDNA of microorganisms for polymerase chain reaction (PCR) amplification, and the amplifica...

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Abstract

The invention discloses a postmortem interval deduction method based on microbiome sequencing data and machine learning algorithms. The method comprises the following steps: by taking DNA (deoxyribonucleic acid) which is extracted from cecum samples of dead bodies of mice as a template, designing primers for 16S rDNA of microorganisms, performing (polymerase chain reaction) amplification constructing a gene library by using amplification products, and performing sequencing; performing OTUs (operational taxonomic units) clustering and species taxonomy analysis on effective sequencing data; andon the basis of abundance distribution situations of species, removing species classes with small relative abundance and interclass variance variation, performing extraction so as to obtain characteristic microorganism varieties for constructing a postmortem interval deduction model, and training a artificial neural network by using sample microorganism abundance data at different time points after death of the mice, so as to obtain a mathematic model which is capable of accurately predicting postmortem intervals.

Description

technical field [0001] The invention belongs to the field of medical examination, in particular to a method for estimating the interval time after death. Background technique [0002] The postmortem interval (PMI) usually refers to the time span from the time of death to the time of autopsy, and it can also be called the postmortem interval or postmortem time. Accurate inference of PMI can assist investigators in determining the direction of investigation, confirming or excluding suspects, estimating the time of crime and reconstructing the crime scene. In addition, PMI inference also plays an extremely important role in certain civil disputes such as insurance claims and property disputes. [0003] The microbial structure is simple, and the growth and reproduction are faster; at the same time, a large part of the microbial community is carried by the body before death, so the initial population is less disturbed by external factors. With the continuous development and pro...

Claims

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Application Information

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IPC IPC(8): C12Q1/6869G16B40/20G16B40/30
CPCC12Q1/6869G16B40/20G16B40/30C12Q2531/113
Inventor 王振原刘睿娜徐纪茹沈明望顾玥茜
Owner XI AN JIAOTONG UNIV
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