Evidence map›Paper›PMID 42088275›Full record

ArticleFrontiers in microbiology2026

Characterization of vaginal microbiota diversity by 16S rRNA high-throughput sequencing.

Menglu Chen, Jinling Li, Hetao Chen, Adilai Tuerxun, Mengfen Mao, Jiahui Song, Boya Li, Yaonan Mo, Xiandun Zhai

Abstract read
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Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Menglu Chen *Luoyang Key Laboratory of Zebrafish Toxicology Research, Luoyang Key Laboratory of Transplantation and Immunological Studies for Haematological Diseases, Department of Clinical Laboratory, the First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Jinling Li *School of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China.
Hetao ChenLuoyang Key Laboratory of Zebrafish Toxicology Research, Luoyang Key Laboratory of Transplantation and Immunological Studies for Haematological Diseases, Department of Clinical Laboratory, the First Affiliated Hospital, College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Adilai TuerxunSchool of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China.
Mengfen MaoSchool of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China.
Jiahui SongSchool of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China.
Boya LiSchool of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China.
Yaonan MoSchool of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China.
Xiandun ZhaiSchool of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study employed high-throughput sequencing to analyze the diversity of vaginal microbiota in healthy women of reproductive age, thereby establishing a foundational dataset that may inform future forensic applications such as individual identification. Methods: A cohort of 100 healthy reproductive-age women meeting the inclusion criteria was enrolled. Vaginal secretion samples were collected, after which microbial DNA was extracted and assessed for quality using agarose gel electrophoresis. The V3-V4 region of the 16S rRNA gene was subsequently amplified with universal primers and subjected to Illumina high-throughput sequencing for comprehensive microbial analysis. Results: Sequencing analysis revealed that the five most predominant genera in the female vaginal microbiota were Discussion: The compositional profile of the vaginal microbiota exhibited variations associated with individual characteristics such as age range and geographic region. This study provides a foundational description of vaginal microbiota composition in this cohort. Such foundational data are a necessary first step toward exploring potential future applications in forensic science, though direct inference of individual characteristics is not supported by the current dataset.

Indexed as

16S rRNAforensic geneticshigh-throughput sequencingindividual identificationvaginal microbiota

Identifiers

PMID42088275
PMCPMC13138041

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