ArticleInternational journal of women's health2025
Investigation of the Endometrial Microbiome in Recurrent Pregnancy Loss Individuals: Microbial Imbalance and Network Fragility.
Article in International journal of women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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.
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Who cites it
5 citing papers in PubMed.
- Endometrial Microbiome Profiles in Women Evaluated for Infertility or Recurrent Miscarriage: A Single-Center Descriptive Study.Diagnostics (Basel, Switzerland) · 2026Article
- The periodontal-female reproductive axis and infertility: a scoping review of epidemiological and mechanistic evidence.BMC oral health · 2026Article
- Artificial Intelligence in Recurrent Pregnancy Loss: Current Evidence, Limitations, and Future Directions.Journal of clinical medicine · 2026Review
- Decoding the reproductive microbiome: enabling clinical and biological insights through machine and deep learning.Frontiers in endocrinology · 2026Review
- Novel Insights into Normal Karyotype Miscarriage: Distinctive Patterns and Implications for Diagnosis Based on Next-Generation Sequencing Analysis.Reproductive medicine and biologyArticle
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Emerging evidence suggests that an abnormal endometrial microbiota may be a potential factor contributing to recurrent pregnancy loss (RPL). This study aimed to characterize the endometrial microbiota in patients with RPL and to explore its association with miscarriage. Patients and Methods: Based on specific inclusion and exclusion criteria, EndoMetrial Microbiome Assay (EMMA) data from women attending clinics were collected and categorized into RPL and control groups according to their miscarriage history. Species diversity analysis, differential microbiota analysis, and machine learning methods were employed to identify key microbial genera associated with RPL. Microbial network analysis was then performed to further characterize the endometrial microbiome in patients with RPL. Results: No significant differences in α-diversity were observed between the RPL and control groups across multiple indices (all P > 0.05); however, β-diversity differed significantly (Euclidean distance, P = 0.039). Regarding species composition, the control group showed a significantly higher abundance of Conclusion: These findings offer novel insights into the mechanisms of endometrial microenvironmental changes in patients with RPL and highlight potential microbial biomarkers and therapeutic targets for future clinical applications.
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Registered trials
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