Evidence map›Paper›PMID 39676105›Full record

ArticleInternational journal of legal medicine2025

Construction of the time since deposition (TsD) model in saliva stains with 16S rRNA full-length sequencing technology and microbial markers.

Shujie Dou, Guanju Ma, Yu Liang, Jie Shen, Guangzhong Zhao, Guangping Fu, Lihong Fu, Bin Cong, Shujin Li

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Article in International journal of legal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Shujie DouCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, No. 361 Zhongshan Road, Shijiazhuang, 050017, Hebei, China.
Guanju MaCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, No. 361 Zhongshan Road, Shijiazhuang, 050017, Hebei, China.
Yu LiangCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, No. 361 Zhongshan Road, Shijiazhuang, 050017, Hebei, China.
Jie ShenCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, No. 361 Zhongshan Road, Shijiazhuang, 050017, Hebei, China.
Guangzhong ZhaoCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, No. 361 Zhongshan Road, Shijiazhuang, 050017, Hebei, China.
Guangping FuCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, No. 361 Zhongshan Road, Shijiazhuang, 050017, Hebei, China.
Lihong FuCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, No. 361 Zhongshan Road, Shijiazhuang, 050017, Hebei, China.
Bin CongCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, No. 361 Zhongshan Road, Shijiazhuang, 050017, Hebei, China.
Shujin LiCollege of Forensic Medicine, Hebei Key Laboratory of Forensic Medicine, Research Unit of Digestive Tract Microecosystem Pharmacology and Toxicology, Hebei Medical University, Chinese Academy of Medical Sciences, No. 361 Zhongshan Road, Shijiazhuang, 050017, Hebei, China. shujinli@hebmu.edu.cn.ORCID http://orcid.org/0000-0001-8656-9000

Funding

National Natural Science Foundation of China 82072118Natural Science Foundation of Hebei Province H2021206451S&T Program of Hebei 225A5602D
6 · The paper itself

Abstract

Determining the time since deposition (TsD) and sex of saliva stains is crucial for revealing the time of the crime's occurrence and clarifying the nature of the crime. This process not only shortens the time required to solve the case but also helps narrow down the scope of investigation, thereby enhancing the efficiency of case resolution. Currently, the forensic study of the microbial composition in long-term saliva stains remains a relatively underexplored field. The purpose of this study was to explore the succession pattern of long-placed human saliva stains microbial communities and identify relevant microbial markers for estimating TsD and identifying the sex of the donor, in order to be an effective alternative tool for solving practical forensic cases. Therefore, in this study, saliva stains exposed to indoor environmental conditions for up to 140 days were collected and 16S rRNA full-length sequencing was performed using single-molecule real-time sequencing technology based on the PacBio sequencing platform. The study reveals that after 140 days of placement, the relative abundance of Firmicutes significantly decreased (p = 0.00304). At the genus level, the relative abundances of Streptococcus (p = 0.0008), Rothia (p = 0.0448), Gemella (p = 0.016), and Veillonella (p = 0.0208) also significantly decreased. Additionally, significant differences were found in the microbial communities between saliva stains from males and females (p = 0.00013). Then, we constructed a TsD estimating model for microbial community markers based on random forest, and the results showed that the mean absolute error was 9.59 days, and the accuracy of sex classification model based on stepwise logistic regression model and 4 bacterial markers was 84.21%. This indicates that saliva stains that have been in place for a long time still retain significant forensic value, and microbial markers can be used to determine the time since deposition (TsD) of dried saliva stains as well as to identify the sex of the donor.

Indexed as

BacteriaMicrobiotaPostmortem ChangesRNA, Ribosomal, 16SSalivaAdultDNA, BacterialFemaleHumansMaleSequence Analysis, DNATime FactorsDNA, BacterialRNA, Ribosomal, 16S16S rRNA full-length sequencingForensic microbiologyRandom forestSalivaTime since deposition

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.