ArticleFrontiers in cellular and infection microbiology2024
The role of gut microbiota and blood metabolites in postpartum depression: a Mendelian randomization analysis.
Article in Frontiers in cellular and infection microbiology, 2024. 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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Who cites it
5 citing papers in PubMed.
- Causal effects of gut microbiota and blood metabolites on subtypes of perinatal depression classified based on depressive symptom trajectories: a mendelian randomization study.Nutrition & metabolism · 2026Article
- Gut Microbiota Dysbiosis in Depression: Pathological Correlations, Molecular Pathways, and Therapeutic Interventions.International journal of molecular sciences · 2026Review
- Postpartum Pain and Vaginal-Gut Microbiota Interactions: An Integrative Narrative Review with Implications for Maternal Recovery and Pain Modulation.Journal of pain research · 2026Review
- Perinatal Shifts in Fecal-Derived Metabolites and Associations with Postpartum Depression.bioRxiv : the preprint server for biology · 2025Article
- Phytochemical insights and neuro-gut axis modulation ofFrontiers in nutrition · 2025Review
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Authors and funding
4 authors.
Funding
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Abstract
Background: Postpartum depression (PPD) is a common complication of pregnancy that imposes a heavy health and economic burden on individuals, families and society. The etiology of PPD is complex and incompletely defined, and recent studies have identified an important role for gut microbiota (GM) and their metabolites in neurological disorders. However, fewer studies on GM and PPD are available and have not yielded uniform results. Methods: Instrumental variables for GM and blood metabolites were obtained from the MiBioGen consortium and metabolomics GWAS server. Single nucleotide polymorphisms (SNPs) associated with PPD phenotypes were obtained from the FinnGen consortium. Inverse variance weighted (IVW), weighted median, weighted mode, and MR-Egger methods were used to assess causal effects. Inverse MR analysis and sensitivity analysis were also utilized to improve the stability of the results. Results: In this study, 5 intestinal species and 24 blood metabolites causally associated with PPD were identified using MR analysis. In addition, MR analysis showed that Conclusions: This study identified GM and blood metabolites causally associated with PPD. The results of this study may provide a theoretical basis for the discovery of PPD-related biomarkers and the treatment of the disease by regulating the gut microenvironment.
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Registered trials
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