Evidence map›Paper›PMID 42104380›Full record

ArticleBMC medicine2026

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

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

Abstract read
In one paragraph

Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ellen C FrancisDepartment of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, United States. Ellen.Francis@Rutgers.edu.
Kristen E BoyleLifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz, Aurora, Colorado, United States.
Lauren E GyllenhammerDepartment of Pediatrics, School of Medicine, University of California Irvine, Irvine, California, United States.
Dana DabeleaLifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz, Aurora, Colorado, United States.
Thomas JanssonDepartment of Obstetrics and Gynecology, University of Colorado, Aurora, Colorado, United States.
Wei PerngLifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz, Aurora, Colorado, United States.

Funding

Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI BRIAN T BUCKLEY · 1988 to 2026
$47.4M
Exploring the Fetal Origins Hypothesis in Diverse YouthR01DK068001 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI DABELEA, DANA · 2005 to 2015
$4.5M
Characterizing metabolic variability during pregnancy to understand pathways of in-utero overnutrition: an integrative analysis of metabolomics and lifestyle dataR00HD108272 · NICHD · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI FRANCIS, ELLEN CROSS · 2023 to 2025
$699k
NICHD NIH HHS R00 HD108272NIDDK NIH HHS R01 DK068001NIEHS NIH HHS P30ES005022
6 · The paper itself

Abstract

backgroundPlacental 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.

methodsAmong 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.

resultsWe 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.

conclusionTwo 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.

Indexed as

AdiposityInflammationInsulinPlacentaSignal TransductionTOR Serine-Threonine KinasesAdultChild, PreschoolDevelopmental Origins of Health and DiseaseFemaleHumansMalePregnancyInsulinMTOR protein, humanTOR Serine-Threonine Kinasescardiometabolic healthfetal programminginsulin signalingmaternal-fetal exchangenutrient sensingplacentapregnancyunsupervised analysis

Identifiers

PMID42104380
PMCPMC13326190

What Socratic holds

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.