Evidence map›Paper›PMID 33594458›Full record

ArticleInternational journal of legal medicine2021

Signatures of vaginal microbiota by 16S rRNA gene: potential bio-geographical application in Chinese Han from three regions of China.

Ting Yao, Zhi Wang, Xiaomin Liang, Changhui Liu, Zhonghao Yu, Xiaolong Han, Ruolan Liu, Yinglin Liu, Chao Liu, Ling Chen

Abstract read
PubMed Publisher
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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

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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

10 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, People's Republic of China.
Zhi Wang *Multi-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, People's Republic of China.
Xiaomin Liang *Multi-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, People's Republic of China.
Changhui LiuGuangzhou Forensic Science Institute, Guangzhou, 510030, People's Republic of China.
Zhonghao YuMulti-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, People's Republic of China.
Xiaolong HanGuangzhou Forensic Science Institute, Guangzhou, 510030, People's Republic of China.
Ruolan LiuMulti-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, People's Republic of China.
Yinglin LiuMulti-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, People's Republic of China.
Chao LiuMulti-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, People's Republic of China. liuchaogzf@163.com.
Ling ChenMulti-Omics Innovative Research Center of Forensic Identification, Department of Forensic Genetics, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, People's Republic of China. lingpzy@163.com.ORCID http://orcid.org/0000-0001-7699-4820
Southern Medical University · CNInstitute of Forensic Science · CN

Funding

the Natural Science Foundation of Guangdong Province 2020A1515010938the Opening Fund of Shanghai Key Laboratory of Forensic Medicine (Institute of Forensic Science, Ministry of Justice, China) KF1914the Science and Technology Program of Guangzhou, China 2019030016
6 · The paper itself

Abstract

The human microbiome is expected to be a new and promising tool for classification of human epithelial materials. Vaginal fluids are one of the most common biological samples in forensic sexual assault cases, and its identification is crucial to accurately determine the nature of the case. With the development of molecular biology technologies, the concept of vaginal microflora in different physiological states, ethnic groups, and geography is constantly improved. In this study, we conducted high-throughput sequencing of the V3-V4 hypervariable regions of the 16S rRNA gene in vaginal samples from Henan, Guangdong, and Xinjiang populations, in an attempt to reveal more information about the vaginal microflora in different regions. The results showed that the bio-geographical factors might affect the relative abundance of some vaginal microflora, but there was no significant difference in the composition of dominant bacteria in the vagina, which was mainly composed of Lactobacillus and Gardnerella. However, prediction models based on the random forest algorithm suggested that we might be able to distinguish vaginal fluids from populations of different regions according to the species-level OTUs in low abundance. It is promising that microbiome-based methods could provide more personal information when being attempted to trace the origin of body fluids.

Indexed as

Genes, rRNAMicrobiotaAlgorithmsAsian PeopleBacteriaBiomarkersFemaleHigh-Throughput Nucleotide SequencingHumansRNA, Ribosomal, 16SSequence Analysis, RNAVaginaBiomarkersRNA, Ribosomal, 16S16S rDNA sequencingBio-geographical factorsForensic medicineMicrobiome-based methodsVaginal fluids

Identifiers

PMID33594458
OpenAlexW3130046787

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.