ArticleFrontiers in psychiatry2024
Gut microbiota and postpartum depression: a Mendelian randomization study.
Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
What it found
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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, 2 syntheses or guidelines pooled it.
- Neurobiological insights into perinatal depression: a multi-dimensional integration of brain structure, function, and metabolism.Frontiers in psychiatry · 2026Pooled it
- The microbiota-gut-brain-epigenome axis as a novel therapeutic target for decoding postpartum depression.Frontiers in medicine · 2026Pooled it
- Bidirectional relations between the maternal and infant gut microbiome and behavior.Pediatric research · 2026Article
- The Women's Microbiome: Molecular Insights, Clinical Gaps, and Future Frontiers in Precision Health with Implications for Gulf Cooperation Council Populations.International journal of molecular sciences · 2026Review
- Causal Relationship between Immune Cells and Postpartum Depression: A Bidirectional Two-Sample Mendelian Randomization Study.Iranian journal of public health · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Increasing evidence suggests a correlation between intestinal microbiota and the gut-brain axis; however, the causal relationship between gut microbiota and postpartum depression (PPD) remains unclear. Methods: In this study, a two-sample Mendelian randomization (MR) design was employed to analyze the GWAS data of gut microorganisms from the Mibiogen database and PPD data from the UK biobank. Various statistical methods, including inverse variance weighted, MR-Egger, weighted median, weighted model, and MR-PRESSO, were utilized to investigate the causal relationship between gut microbiota and PPD. Additionally, sensitivity analysis was conducted to assess the robustness of the findings. Results: Through MR analysis, it was found that phylum Actinobacteria ( Conclusion: This study has identified a causal association between Actinomycetota, Holdemanella, and PDD through MR analysis. These findings offer significant contributions to the development of personalized treatment approaches for PPD, encompassing interventions such as dietary modifications or microbiome interventions.
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Registered trials
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