Xiao · Science bulletin 2024 · meta-analysis of observational datasets · n=>10,000 samples

Spatiotemporal patterns of the pregnancy microbiome and links to reproductive disorders.

Cited 30 times in the scientific literature.

Level 3 - non-randomized controlled study

Meta-analysis of observational cohort and cross-sectional microbiome datasets

PubMed 38388298 · doi:10.1016/j.scib.2024.02.001 · record verified 2026-08-29

What was done

The authors conducted a meta-analysis compiling and analyzing microbiome profiles from >10,000 samples across the gut, vagina, and oral cavity of pregnant women from diverse geographical regions to evaluate taxonomic, functional, and ecological dynamics across gestation and their links to pregnancy complications.

What was found

The abstract reports qualitative observations without specific quantitative metrics or effect estimates. The gut microbiota exhibited distinct trajectories between Western and non-Western populations. The vaginal microbiota showed fluctuating transitions at the genus level across gestation, whereas the oral microbiota was relatively stable. In pregnancy-related disorders, opposite variations were observed between oral and gut microbiota in gestational diabetes, and disrupted microbial networks were observed in preterm birth.

Why it matters

This study provides an integrated multi-site reference atlas of maternal microbiome remodeling across pregnancy, highlighting population differences and site-specific dysbiosis patterns in gestational diabetes and preterm birth.

Limits

The abstract provides no numerical data, effect sizes, confidence intervals, or p-values. It reports sample count (>10,000) rather than individual participant counts. Being an aggregation of observational datasets across diverse regions, results are subject to confounding by geographical, lifestyle, and technical variations.

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