Maternal Metabolites Predict Pregnancy Complications Better
Researchers published in Communications Medicine (2025) analyzed plasma from two pregnancy cohorts (COPSAC, n=684; VDAART, n=775) using LC‑MS/MS and sparse partial least squares regression to derive a 46‑metabolite signature linked to maternal BMI. The metabolite score—particularly from late‑pregnancy samples—predicted gestational diabetes (OR 2.47 vs BMI OR 1.90) and preeclampsia more accurately, with 16 metabolites mediating obesity–diabetes links.
Key Points
- 1Identify 46‑metabolite BMI-linked signature predicting pregnancy complications across two cohorts
- 2Demonstrate late‑pregnancy metabolite scores outperform BMI for gestational diabetes and preeclampsia
- 3Suggest integrate metabolomic screening with BMI to improve prenatal risk stratification
Scoring Rationale
Robust multicohort, peer‑reviewed metabolomics finding with strong predictive gains; limited by observational design and high‑resource settings.
Sources
Public references used for this report.
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