Evidence map›Paper›PMID 32583081›Full record

ArticleInternational journal of legal medicine2021

Exploration of the microbiome community for saliva, skin, and a mixture of both from a population living in Guangdong.

Ting Yao, Xiaolong Han, Tianshan Guan, Chuangyan Zhai, Changhui Liu, Chao Liu, Bofeng Zhu, Ling Chen

Abstract read
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In one paragraph

Article in International journal of legal medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
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  4. Saliva assay: a call for methodological standardization.Journal of periodontal & implant science · 2025
    Review
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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

8 authors at 2 institutions in 1 country.

Ting Yao *Multi-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China.
Xiaolong Han *Guangzhou Forensic Science Institute, Guangzhou, 510030, China.
Tianshan Guan *Multi-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China.
Chuangyan ZhaiMulti-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China.
Changhui LiuGuangzhou Forensic Science Institute, Guangzhou, 510030, China.
Chao LiuMulti-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China.
Bofeng ZhuMulti-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China. zhubofeng7372@126.com.
Ling ChenMulti-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, China. lingpzy@163.com.ORCID http://orcid.org/0000-0001-7699-4820
Southern Medical University · CNInstitute of Forensic Science · CN

Funding

National Natural Science Foundation of China 81501627Natural Science Foundation of Guangdong Province 2020A1515010938
6 · The paper itself

Abstract

The identification of biological traces provides vital evidence in forensic reconstruction at crime scenes, especially in sexual offences. Compared with traditional presumptive or confirmatory methods, the microbiome-based method has been proven to be of great value in body fluid identification. Mixture of body fluids or tissue is common in sexual assault cases; thus, it is essential to determine the sources of mixed samples. In this study, 60 samples consisting of skin, saliva, and a mixed model of saliva deposited on facial skin were collected from a population living in Guangdong. Through 16s rDNA high-throughput sequencing, we identified the predominant microbes in saliva samples, viz., Haemophilus parainfluenzae T3T1, Neisseria flava, Gemella haemolysans, Prevotella melaninogenica, and Actinomyces odontolyticus; in skin samples, Cutibacterium acnes and Corynebacterium tuberculostearicum were the predominant species. The microbial composition of the same body fluid or tissue is similar in different individuals. However, among different body fluids or tissue, the composition of microflora in saliva is more stable than that on skin. Additionally, the microbial community in the mixed model of saliva deposited on facial skin from the same and different individuals was clearly determined by the constituent fluids or tissue, apart from the differences among the donors. Overall, the microbiome-based method may have good potential as a tool for identifying single and mixed body fluid or tissue.

Indexed as

AdultChinaDNA, BacterialHigh-Throughput Nucleotide SequencingHumansMaleMicrobiotaPolymerase Chain ReactionRNA, Ribosomal, 16SSalivaSequence Analysis, DNASkinYoung AdultDNA, BacterialRNA, Ribosomal, 16SBody fluid and tissue identificationForensic geneticsHigh-throughput sequencingMicrobiomeMixed body fluid or tissue

Identifiers

PMID32583081
OpenAlexW3037009165

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.