ORIGINAL RESEARCH article
Front. Cell. Infect. Microbiol.
Sec. Extra-intestinal Microbiome
Volume 15 - 2025 | doi: 10.3389/fcimb.2025.1646125
Analysis of the characteristics of Endometrial Fluid Samples in Recurrent Pregnancy Loss Patients based on 16S rRNA gene sequencing technology
Provisionally accepted
- Lanzhou University Second Hospital, Lanzhou, China
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This study analyzed the characteristics of endometrial fluid microbiota in Recurrent Pregnancy Loss (RPL) patients using 16S rRNA gene sequencing. It included RPL patients from the Second Hospital of Lanzhou University from Mar 2023 to September 2023. Healthy individuals during the same period were selected as controls. Clinical data and endometrial fluid samples were collected and microbial diversity was assessed using QIIME software. Semi-partial correlation analysis explored the relationship between RPL and Controls, and LEfSe analysis identified differentially abundant taxa. A total of 114 participants were included in the study, with 68 in the RPL group and 48 in the control group. No significant differences in alpha diversity indices were found between the groups (p>0.05). However, beta diversity showed significant differences (p<0.05), indicating distinct microbial compositions. At the genus level, Vibrio and Pseudoalteromonas were positively correlated with RPL, suggesting their potential role in the condition. LEfSe analysis further validated our results, highlighting several taxa with significant differences in abundance, indicating microbial imbalances in RPL patients. The study emphasizes the impact of microbial imbalances on reproductive health, potentially aiding in the development of targeted interventions to restore microbial balance and improve pregnancy outcomes in RPL patients.
Keywords: Recurrent pregnancy loss, Endometrial fluid, 16S rRNA, RPL, rRNA
Received: 23 Jun 2025; Accepted: 26 Sep 2025.
Copyright: © 2025 Wang, Wang, Ding, Li, Lu and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Peili Wang, wangpeili2024@126.com
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