Evidence map›Paper›PMID 39068412›Full record

ArticleBMC microbiology2024

Vaginal microbiome differences between patients with adenomyosis with different menstrual cycles and healthy controls.

Zangyu Pan, Jun Dai, Ping Zhang, Qianhui Ren, Xinyu Wang, Shumin Yan, Hao Sun, Xue Jiao, Ming Yuan, Guoyun Wang

Abstract read
In one paragraph

Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Draft genome sequence of endometrialMicrobiology resource announcements · 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

10 authors.

Zangyu PanDepartment of Obstetrics and Gynecology, Shandong Provincial Hospital, Jinan, 250000, Shandong, China.
Jun DaiQilu Hospital of Shandong University, Jinan, 250000, Shandong Province, China.
Ping ZhangDepartment of Obstetrics and Gynecology, Shandong Provincial Hospital, Jinan, 250000, Shandong, China.
Qianhui RenDepartment of Obstetrics and Gynecology, Shandong Provincial Hospital, Jinan, 250000, Shandong, China.
Xinyu WangDepartment of Obstetrics and Gynecology, Shandong Provincial Hospital, Jinan, 250000, Shandong, China.
Shumin YanDepartment of Obstetrics and Gynecology, Shandong Provincial Hospital, Jinan, 250000, Shandong, China.
Hao SunDepartment of Obstetrics and Gynecology, Shandong Provincial Hospital, Jinan, 250000, Shandong, China.
Xue JiaoDepartment of Obstetrics and Gynecology, Shandong Provincial Hospital, Jinan, 250000, Shandong, China.
Ming YuanDepartment of Obstetrics and Gynecology, Shandong Provincial Hospital, Jinan, 250000, Shandong, China. sddxqlyyym@163.com.
Guoyun WangDepartment of Obstetrics and Gynecology, Shandong Provincial Hospital, Jinan, 250000, Shandong, China. wangguoy@sdu.edu.cn.

Funding

Key Technologies Research and Development Program 2022YFC2704000the Major Basic Research of Natural Science Foundation of Shandong ZR2021ZD34the National Natural Science Foundation of China 82071621 and 81901458
6 · The paper itself

Abstract

backgroundAdenomyosis is a commonly observed benign gynecological disease that affects the quality of life and social psychology of women of childbearing age. However, because of the unknown etiology and incidence of adenomyosis, its pathophysiological mechanism remains unclear; further, because no noninvasive, accurate, and individualized diagnostic methods are available, treatment and efficacy evaluations are limited. Notably, the interaction between the changes in the microecological environment of the female reproductive tract and human immunity, endocrine, and other links leads to the occurrence and development of diseases. In addition, the vaginal microbiome differs in different menstrual cycles; therefore, assessing the differences between the microbiomes of patients with adenomyosis and healthy individuals in different menstrual cycles will improve the understanding of the disease and provide references for the search for noninvasive diagnosis and individualized precision treatment of adenomyosis. This study aimed to explored the data of individuals in different menstrual cycles.

resultsDifferences in the vaginal microbiome between patients with adenomyosis and healthy individuals were observed. At phylum level, the relative abundance of Firmicutes in the adenomyosis group was higher than that in the control group, which contributed the most to the species difference between the two groups. At the genus level, Lactobacillus was the most dominant in both groups, Alpha-diversity analysis showed significant differences in the adenomyosis and control group during luteal phase (Shannon index, p = 0.0087; Simpson index, p = 0.0056). Beta-diversity index was significantly different between the two groups (p = 0.018). However, based on Weighted Unifrac analysis, significant differences were only observed throughout the luteal phase (p = 0.0146). Within the adenomyosis group, differences between women with different menstrual cycles were also observed. Finally, 50 possible biomarkers including were screened and predicted based on the random forest analyse.

conclusionsThe vaginal microbiome of patients with adenomyosis and healthy individuals differed during menstrual periods, especially during the luteal phase. These findings facilitate the search for specific biological markers within a limited range and provide a more accurate, objective, and individualized diagnostic and therapeutic evaluation method for patients with adenomyosis, compared to what is currently available.

Indexed as

AdenomyosisMenstrual CycleMicrobiotaVaginaAdultBacteriaCase-Control StudiesFemaleHumansLactobacillusRNA, Ribosomal, 16SRNA, Ribosomal, 16SAdenomyosisMenstrual cyclesVaginal microbiome

Identifiers

PMID39068412
PMCPMC11282752

What OpenQuestion holds

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Registered trials

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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.