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Temporal and Spatial Differences in the Vaginal Microbiome of Chinese Healthy Women

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Journal PeerJ
Date 2023 Dec 6
PMID 38054020
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Abstract

Background: Up the reproductive tract, there are large differences in the composition of vaginal microbes. Throughout the menstrual cycle, the structure of the vaginal microbiome shifts. Few studies have examined both in combination. Our study was designed to explore trends in the microbiome of different parts of the vagina in healthy women over the menstrual cycle.

Methods: We performed metagenomic sequencing to characterize the microbiome differences between the cervical orifice and mid-vagina throughout the menstrual cycle.

Results: Our results showed the vaginal microbiome of healthy women in the cervical orifice and the mid-vagina was similar during the periovulatory and luteal phases, with being the dominant bacteria. In the follicular phase, was detected in the cervical orifice. From the follicular phase to the luteal phase, the community state types (all five community status types were defined as CSTs) in samples No. 10 and No. 11 changed from CST III to CST I. In addition, the composition of the vaginal microbiome in healthy women from different regions of China was significantly different. We also detected viruses including (HSV-1) during periovulatory phase.

Conclusion: This study is valuable for understanding whether the microbial composition of the vagina is consistent in different parts of the menstrual cycle.

Citing Articles

Viruses in the female lower reproductive tract: a systematic descriptive review of metagenomic investigations.

Honorato L, Paiao H, da Costa A, Tozetto-Mendoza T, Mendes-Correa M, Witkin S NPJ Biofilms Microbiomes. 2024; 10(1):137.

PMID: 39587088 PMC: 11589587. DOI: 10.1038/s41522-024-00613-6.

References
1.
Li D, Liu C, Luo R, Sadakane K, Lam T . MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph. Bioinformatics. 2015; 31(10):1674-6. DOI: 10.1093/bioinformatics/btv033. View

2.
Hillmann B, Al-Ghalith G, Shields-Cutler R, Zhu Q, Gohl D, Beckman K . Evaluating the Information Content of Shallow Shotgun Metagenomics. mSystems. 2018; 3(6). PMC: 6234283. DOI: 10.1128/mSystems.00069-18. View

3.
Kaminski J, Gibson M, Franzosa E, Segata N, Dantas G, Huttenhower C . High-Specificity Targeted Functional Profiling in Microbial Communities with ShortBRED. PLoS Comput Biol. 2015; 11(12):e1004557. PMC: 4684307. DOI: 10.1371/journal.pcbi.1004557. View

4.
Borgogna J, Shardell M, Santori E, Nelson T, Rath J, Glover E . The vaginal metabolome and microbiota of cervical HPV-positive and HPV-negative women: a cross-sectional analysis. BJOG. 2019; 127(2):182-192. PMC: 6982399. DOI: 10.1111/1471-0528.15981. View

5.
Hickey R, Abdo Z, Zhou X, Nemeth K, Hansmann M, Osborn 3rd T . Effects of tampons and menses on the composition and diversity of vaginal microbial communities over time. BJOG. 2013; 120(6):695-704. DOI: 10.1111/1471-0528.12151. View