Table 1.
Representative studies examining maternal and infant microbiomes in pregnancy
| Study type | Microbiome niche | Key findings | Clinical relevance | Limitations | Ref |
|---|---|---|---|---|---|
| Human cohort (91 pregnant women) | Maternal gut | 3rd trimester → ↑Proteobacteria, Actinobacteria; ↓diversity | Associated with insulin resistance, inflammation | Small cohort, observational | [37] |
| Human cohort (1,500 samples) | Vaginal, gut, saliva | Vaginal microbiota shifts predict preterm birth | Early diagnostic potential | Regional population | [65] |
| Human cohort (Pregnancy & diet study) | Gut | Women with GDM → ↑ Enterobacteriaceae, ↓ Akkermansia | Links to hyperglycemia, maternal metabolic health | Cross-sectional | [66] |
| Mouse model | Gut | Dysbiosis induced hypertension and PE-like features | Mechanistic insight for preeclampsia | Translational gap | [67] |
| Human placental samples | Placental | Detected low-biomass microbes; possible contamination | Debate over placental microbiome existence | Contamination risk | [68] |
| Human cohort | Gut | Dysbiosis → linked to preeclampsia and systemic inflammation | Suggests gut-immune axis role in PE | Small sample size | [69] |
| Review + meta-analysis | Maternal gut/vaginal | Vaginal microbiota stability is protective against PTB | Vaginal microbiome as a biomarker | Heterogeneous studies | [36] |
| RCT | Maternal gut & infant gut (diet + probiotics) | Infant α-diversity is lower in the intervention group; maternal Prevotella ↑ | Shows maternal diet/probiotic combo can modulate early gut microbiota | Short follow-up; small sample size | [70] |
| Cohort (36 mothers, 32 infants) | Maternal & infant stool samples | Mode of delivery, gestational age, and breastfeeding strongly influence infant microbiota; maternal changes postpartum | Helps identify modifiable birth/delivery practices | Small cohort; short duration | [71] |
| Observational | Maternal stool | Trends that specific nutrients (macro/micro) affect maternal gut diversity; the influence varies with risk status | Points to dietary counselling as an intervention potential | No causality; diversity measures only | [72] |