ArticleBMC pregnancy and childbirth2024
Associations of polymetabolic risk of high maternal pre-pregnancy body mass index with pregnancy complications, birth outcomes, and early childhood neurodevelopment: findings from two pregnancy cohorts.
Article in BMC pregnancy and childbirth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 6 citations in OpenAlex.
- Metabolomic alterations in cord blood improve the prediction of childhood-onset neurodevelopmental disorders.Translational psychiatry · 2026Article
- The impact of pre-pregnancy body mass index and maternal diseases on the offspring outcomes in preterm infants < 32 weeks: five-year retrospective mediation analysis.BMC pregnancy and childbirth · 2026Article
- Sex-specific association between maternal integrative endocrine and metabolic status during pregnancy and preschoolers' emotional-behavioral development: A birth cohort study.European child & adolescent psychiatry · 2026Article
- Article
- A metabolomic signature of maternal BMI is associated with pregnancy complications across two independent pregnancy cohorts.Communications medicine · 2025Article
- Maternal Adiposity, Milk Production and Removal, and Infant Milk Intake During Established Lactation.Nutrients · 2025Article
- Characteristics of Glucose-Lipid Metabolism in Early Pregnancy Among Overweight and Obese Women and Their Predictive Value for Gestational Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Profiles and predictors of child neurodevelopment and anthropometry: The maternal-infant research on environmental chemicals study.Journal of multimorbidity and comorbidityArticle
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7 authors at 5 institutions in 3 countries.
Funding
Abstract
backgroundA substantial proportion of maternal pregnancy complications, adverse birth outcomes and neurodevelopmental delay in children may be attributable to high maternal pre-pregnancy Body Mass Index (BMI). However, BMI alone is insufficient for the identification of all at-risk mothers and children as many women with non-obesity(< 30 kg/m
methodsIn a cohort of 425 mother-child dyads, we identified maternal BMI-defined metabolome based on associations of 95 metabolic measures measured three times during pregnancy with maternal pre-pregnancy BMI. We then examined whether maternal BMI-defined metabolome performed better than anthropometric BMI in predicting gestational diabetes, hypertensive disorders, gestational weight gain (GWG), Caesarian section delivery, child gestational age and weight at birth, preterm birth, admission to neonatal intensive care unit (NICU), and childhood neurodevelopment. Based on metabolic measures with the highest contributions to BMI-defined metabolome, including inflammatory and glycolysis-related measures, fatty acids, fluid balance, ketone bodies, lipids and amino acids, we created a set of maternal high BMI-related polymetabolic risk scores (PMRSs), and in an independent replication cohort of 489 mother-child dyads tested their performance in predicting the same set of mother-child outcomes in comparison to anthropometric BMI.
resultsBMI-defined metabolome predicted all of the studied mother-child outcomes and improved their prediction over anthropometric BMI, except for gestational hypertension and GWG. BMI-related PMRSs predicted gestational diabetes, preeclampsia, Caesarian section delivery, admission to NICU, lower gestational age at birth, lower cognitive development score of the child, and improved their prediction over anthropometric BMI. BMI-related PMRSs predicted gestational diabetes, preeclampsia, Caesarean section delivery, NICU admission and child's lower gestational age at birth even at the levels of maternal non-obesity and normal weight.
conclusionsMaternal BMI-defined metabolome improves the prediction of pregnancy complications, birth outcomes, and neurodevelopment in children over anthropometric BMI. The novel, BMI-related PMRSs generated based on the BMI-defined metabolome have the potential to become biomarkers identifying at-risk mothers and their children for timely targeted interventions even at the level of maternal non-obesity and normal weight.
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