Evidence map›Paper›PMID 39380726›Full record

Trial reportFrontiers in cellular and infection microbiology2024

Associations of vaginal microbiota with the onset, severity, and type of symptoms of genitourinary syndrome of menopause in women.

Qianru Zeng, Han Shu, Heng Pan, Yonghong Zhang, Ling Fan, Yubin Huang, Li Ling

Abstract readClinical Trial
In one paragraph

Trial report in Frontiers in cellular and infection microbiology, 2024. 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
–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

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.

  1. Vaginal Microbiota and Pelvic Floor Dysfunction: Mechanistic Insights and Therapeutic Implications.Medical science monitor : international medical journal of experimental and clinical research · 2026
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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

7 authors.

Qianru Zeng *Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Han Shu *Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Heng PanDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China.
Yonghong ZhangDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ling FanDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yubin HuangDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Li LingDepartment of Obstetrics and Gynecology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Genitourinary syndrome of menopause (GSM) describes the symptoms and signs resulting from the effect of estrogen deficiency on the female genitourinary tract, including genital, urinary, and sexual symptoms. However, besides estrogen deficiency, little is known about the etiology of GSM. The objective of this study was to investigate the effects of vaginal microbiota dysbiosis on the occurrence and development of GSM in perimenopausal and postmenopausal women. Methods: In total, 96 women were enrolled in this cross-sectional study and clinical data were collected. GSM symptoms were divided into three types: genital, urological, and sexual symptoms. Full-length 16S rRNA gene sequencing using the third-generation PacBio sequencing technology was performed to analyze the vaginal microbiome using vaginal swabs of non-GSM and GSM women with different types of GSM symptoms. Live Lactobacillus Capsule for Vaginal Use (LLCVU) treatment was used to verify the effects of Lactobacillus on GSM symptoms. Results: We found that 83.58% (56/67) of women experienced GSM symptoms in the perimenopausal and postmenopausal stages. Among these women with GSM, 23.21% (13/56), 23.21% (13/56), and 53.57% (30/56) had one type, two types, and three types of GSM symptoms, respectively. The richness and diversity of vaginal microbiota gradually increased from reproductive to postmenopausal women. There were significant differences in vaginal microbial community among non-GSM women and GSM women with different types of symptoms. Lactobacillus was found to be negatively associated with the onset, severity, and type of GSM while some bacteria, such as Escherichia-shigella, Anaerococcus, Finegoldia, Enterococcus, Peptoniphilus_harei, and Streptococcus, were found to be positively associated with these aspects of GSM, and these bacteria were especially associated with the types of genital and sexual symptoms in GSM women. LLCVU significantly relieved genital symptoms and improved the sexual life of GSM women in shortterm observation. Conclusions: The onset, severity, and type of GSM symptoms may be associated with changes in vaginal microbiota in perimenopausal and postmenopausal women. Vaginal microbiota dysbiosis probably contributes to the occurrence and development of GSMsymptoms, especially vaginal and sexual symptoms. Lactobacillus used in the vagina may be a possible option for non-hormonal treatment of GSM women with genital and sexual symptoms. Clinical Trial Registration: https://www.chictr.org.cn/indexEN.html, identifier ChiCTR2100044237.

Indexed as

DysbiosisLactobacillusMenopauseMicrobiotaRNA, Ribosomal, 16SVaginaAdultBacteriaCross-Sectional StudiesFemaleFemale Urogenital DiseasesHumansMiddle AgedPostmenopauseSyndromeRNA, Ribosomal, 16Sgenitourinary syndrome of menopause (GSM)lactobacillusmicrobiota dysbiosisnon-hormonal treatmentvaginal microbiota

Identifiers

PMID39380726
PMCPMC11458563

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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.