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Related Concept Videos

Human Genetics01:28

Human Genetics

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Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
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Using a Murine Model of Psychosocial Stress in Pregnancy as a Translationally Relevant Paradigm for Psychiatric Disorders in Mothers and Infants
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Exploring Gut Microbe-Host Genes in Postpartum Depression: Mendelian Randomization and Transcriptomic Analysis.

Ting Cong1,2, Jing Liu3, Li Yuan1,2

  • 1Department of Anesthesiology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, 266000, People's Republic of China.

International Journal of Women'S Health
|December 3, 2025
PubMed
Summary

Gut bacteria may influence postpartum depression (PPD) risk. Certain microbes like Veillonellaceae may decrease PPD, while Alphaproteobacteria and Family XIII AD3011 group may increase PPD risk.

Keywords:
Mendelian randomizationgut microbe‒host genesgut microbiotapostpartum depressiontranscriptome dataset

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Area of Science:

  • Microbiome research
  • Genetics
  • Mental health

Background:

  • Postpartum depression (PPD) is a significant mental health concern affecting women after childbirth.
  • The role of the gut microbiome in PPD is increasingly recognized but requires further investigation.
  • Identifying specific microbial taxa and host genes involved could offer new therapeutic avenues.

Purpose of the Study:

  • To investigate the potential causal relationship between gut microbial composition and the risk of developing PPD.
  • To identify specific gut microbiota-host genes associated with PPD susceptibility.
  • To explore novel biomarkers and therapeutic targets for PPD prevention and intervention.

Main Methods:

  • A two-sample Mendelian randomization (MR) study utilizing genome-wide association studies (GWAS) data for 196 gut microbial taxa and PPD.
  • Employing various statistical approaches including inverse variance weighted (IVW), MR-Egger, weighted mode, and weighted median for causal inference.
  • Conducting pleiotropy and heterogeneity tests (Cochran's Q, MR-Egger intercept, MR-PRESSO, leave-one-out analysis) and applying FDR correction.
  • Analyzing a microarray dataset (GSE45603) to identify microbiota-host gene interactions.

Main Results:

  • The IVW analysis indicated that the bacterial family Veillonellaceae is associated with a reduced risk of PPD (OR=0.82, q=0.030).
  • Conversely, the class Alphaproteobacteria (OR=1.22, q=0.074) and the genus Family XIII AD3011 group (OR=1.24, q=0.065) were linked to an increased incidence of PPD.
  • Four potential gut microbiota-host genes (AQP9, ALDH1A2, DGUOK, STAMBP) were identified in relation to the Family XIII AD3011 group.

Conclusions:

  • The study provides genetically supported evidence for a causal link between gut microbiota and PPD.
  • Identified microbiota-host genes represent potential targets for PPD diagnostics or therapeutics.
  • These findings contribute to a better understanding of PPD etiology and inform prevention strategies.