Placental insulin-mTOR and stress–inflammatory signaling patterns are associated with childhood adiposity

BACKGROUND: Placental signaling pathways regulate nutrient transport and fetal growth, with potential long-term consequences for offspring metabolic health. Most prior human studies have focused on individual placental markers, limiting insight into the role of coordinated activity across multiple pathways in relation to offspring outcomes. Our objective was to identify patterns across placental nutrient signaling pathways and assess whether the latent placental signaling patterns were associated with early childhood adiposity, and secondarily, explore associations of adiposity-associated patterns with metabolic biomarkers. METHODS: Among 108 mother-child pairs from the Healthy Start cohort, we quantified 33 placental signaling proteins and their phosphorylated-to-total protein ratios involved in nutrient sensing, insulin/growth factor signaling, stress/inflammation, and mitochondrial biogenesis using Simple Western assays of term placental villus tissue. We applied unsupervised methods to identify latent patterns and LASSO regression was used to select patterns associated with %fat mass at age 4. Multivariable linear regression was used to estimate associations adjusting for offspring age, sex, and maternal pre-pregnancy BMI. These same models were used in exploratory analysis of fasting levels of adiponectin, leptin, insulin, glucose, and lipids at age 4. RESULTS: We identified two placental signaling patterns associated with %fat mass. The insulin-mTOR-energy sensing pattern was associated with lower childhood %fat mass (β = -2.46, 95% CI - 4.84, - 0.09) and adiponectin, and the stress-inflammatory MAPK pattern was associated with higher %fat mass (β = 1.28, 95% CI 0.05, 2.51), leptin, and triglycerides; however, the FDR p-values ranged from 0.06 to 0.13. CONCLUSION: Two placental signaling patterns were associated with childhood %fat mass and metabolic markers. These findings indicate that capturing placental activity across several signaling pathways may yield insights into early origins of adiposity and metabolic health.

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Publication Details

Journal
BMC Medicine
Published
2026-05-08
DOI
https://doi.org/10.1186/s12916-026-04896-8
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Placental insulin-mTOR and stress–inflammatory signaling patterns are associated with childhood adiposity

Lauren E. Gyllenhammer, Ellen C. Francis, Kristen E. Boyle, Thomas Jansson et al.
BMC Medicine
Gestational Diabetes Research and Management
article

Placental insulin-mTOR and stress–inflammatory signaling patterns are associated with childhood adiposity

Lauren E. Gyllenhammer, Ellen C. Francis, Kristen E. Boyle, Thomas Jansson, Dana Dabelea, Wei Perng
article en

Abstract

BACKGROUND: Placental signaling pathways regulate nutrient transport and fetal growth, with potential long-term consequences for offspring metabolic health. Most prior human studies have focused on individual placental markers, limiting insight into the role of coordinated activity across multiple pathways in relation to offspring outcomes. Our objective was to identify patterns across placental nutrient signaling pathways and assess whether the latent placental signaling patterns were associated with early childhood adiposity, and secondarily, explore associations of adiposity-associated patterns with metabolic biomarkers. METHODS: Among 108 mother-child pairs from the Healthy Start cohort, we quantified 33 placental signaling proteins and their phosphorylated-to-total protein ratios involved in nutrient sensing, insulin/growth factor signaling, stress/inflammation, and mitochondrial biogenesis using Simple Western assays of term placental villus tissue. We applied unsupervised methods to identify latent patterns and LASSO regression was used to select patterns associated with %fat mass at age 4. Multivariable linear regression was used to estimate associations adjusting for offspring age, sex, and maternal pre-pregnancy BMI. These same models were used in exploratory analysis of fasting levels of adiponectin, leptin, insulin, glucose, and lipids at age 4. RESULTS: We identified two placental signaling patterns associated with %fat mass. The insulin-mTOR-energy sensing pattern was associated with lower childhood %fat mass (β = -2.46, 95% CI - 4.84, - 0.09) and adiponectin, and the stress-inflammatory MAPK pattern was associated with higher %fat mass (β = 1.28, 95% CI 0.05, 2.51), leptin, and triglycerides; however, the FDR p-values ranged from 0.06 to 0.13. CONCLUSION: Two placental signaling patterns were associated with childhood %fat mass and metabolic markers. These findings indicate that capturing placental activity across several signaling pathways may yield insights into early origins of adiposity and metabolic health.

BMC Medicine
Rutgers, The State University of New Jersey (US), University of California, Irvine (US), Environmental and Occupational Health Sciences Institute (US), University of Colorado Anschutz Medical Campus (US), University of Colorado Denver (US)
National Institute of Diabetes and Digestive and Kidney Diseases, National Institute of Environmental Health Sciences, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Openalex Percentile: Top 6%
Gestational Diabetes Research and Management
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