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Background <p>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.</p> Methods <p>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.</p> Results <p>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.</p> Conclusion <p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月8日

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

摘要

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.