Evidence map›Paper›PMID 36635729›Full record

ArticleAnnals of clinical microbiology and antimicrobials2023

The alteration of intrauterine microbiota in chronic endometritis patients based on 16S rRNA sequencing analysis.

Qing Chen, Xiaowei Zhang, Qicai Hu, Wei Zhang, Yi Xie, Weixia Wei

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 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

6 authors at 1 institution in 2 countries.

Qing Chen *Department of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, 518036, P. R. China.
Xiaowei Zhang *Department of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, 518036, P. R. China.
Qicai Hu *Department of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, 518036, P. R. China.
Wei ZhangDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, 518036, P. R. China.
Yi XieDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, 518036, P. R. China.
Weixia WeiDepartment of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, 518036, P. R. China. weixwei_2013@126.com.
Southern University of Science and Technology · CN

Funding

Scientific Research Foundation of PEKING UNIVERSITY SHENZHEN HOSPITAL KYQD202100XScientific Research Foundation of PEKING UNIVERSITY SHENZHEN HOSPITAL LCYJ2021024Shenzhen Science and Technology Innovation Committee Technical Research Project JCYJ20190809144801670Shenzhen Science and Technology Innovation Committee Technical Research Project JCYJ20220530160206014
6 · The paper itself

Abstract

backgroundChronic endometritis (CE) is a disease of continuous and subtle inflammation occurring in the endometrial stromal area, which is often asymptomatic or present with non-specific clinical symptoms.

methodsThis study investigated the composition and distribution of the intrauterine microbiota of 71 patients who underwent hysteroscopy during the routine clinical inspection of infertility. Among them, patients who were diagnosed with chronic endometritis (CE) were allocated into CE group (n = 29) and others into non-CE group (n = 42). There was no significant difference in average age between the two groups (P = 0.19). Uterine flushing fluid was collected by the self-developed cervical trocar uterine cavity sampler and 16S rRNA sequencing was performed.

resultsThe alpha diversity in the CE group was significantly higher than that in the non-CE group (P < 0.05). Firmicutes (newly named Bacillota) were the dominant phylum in the non-CE group (72.23%), while their abundance was much lower in the CE group (49.92%), but there was no statistically significant difference between the two groups. The abundances of Actinobacteriota and Cyanobacteria in the CE group were significantly higher than those in the non-CE group (P < 0.05). At the genus level, the abundance of Lactobacillus dominated in all samples, which presented a significantly lower abundance in the CE group (40.88%) than that in the non-CE group (64.22%) (P < 0.05). Correspondingly, the abundance of non-Lactobacillus was higher in the CE group, among which Pseudomonas and Cutibacterium increased significantly (P < 0.01). Moreover, compared with the non-CE group, the pathways involved in arginine and proline metabolism and retinol metabolism were significantly enriched in the CE group (P < 0.05), while the metabolism of lipid and prenyltransferases were significantly decreased in the CE group (P < 0.05).

conclusionsA certain microbial community was colonized in the uterine cavity, which was dominated by Lactobacillus. The structure and distribution of intrauterine microbiota in the CE group were different from those in the non-CE group by showing a lower abundance of Lactobacillus, and a significantly higher abundance of Pseudomonas and Cutibacterium. Additionally, the microbial metabolism was altered in the CE group. This study elaborated the alteration of intrauterine microbiota in CE patients, which may contribute to the diagnosis of CE and provide a reference for antibiotic treatment of CE.

Indexed as

EndometritisMicrobiotaBacteriaEndometriumFemaleHumansLactobacillusRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNA sequencingChronic endometritisFirmicutes (Bacillota)Intrauterine microbiotaLactobacillus

Identifiers

PMID36635729
PMCPMC9838023
OpenAlexW4315780390

What OpenQuestion holds

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LicenceCC BY
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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.