Non-invasive epigenetic protein signatures associated with childhood obesity

BACKGROUND: Childhood obesity is a major predictor of lifelong chronic disease, yet the biological mechanisms linking early-life exposures to adiposity remain incompletely understood. Inflammatory and metabolic proteins have been implicated in obesity-related pathways, but their clinical utility in children is limited by biological variability and the invasiveness of sample collection. DNA methylation (DNAm)-derived protein proxies, or EpiScores, offer a stable, non-invasive alternative tool for capturing systemic physiological processes and may provide novel insights into the early biological embedding of obesity risk. METHODS: We examined associations between 105 DNAm-derived protein EpiScores and body mass index (BMI) z-scores in a socioeconomically diverse cohort of 31 school-aged children. EpiScores were generated using the MethylDetectR platform, and linear regression models, adjusted for sex, age, race, saliva cell-type proportions, and socioeconomic status (SES; maternal education and annual household income), were used to evaluate associations. Parallel models excluding SES were compared to quantify confounding. False discovery rate (FDR) correction was applied. Functional enrichment and protein-protein interaction (PPI) analyses were performed using STRINGdB. RESULTS: Fifteen EpiScores demonstrated nominal significance with BMI z-score (p ≤ 0.05) and were further evaluated using a discovery-level FDR threshold (FDR q ≤ 0.20). VEGFA, MMP-12, MMP-1, and CDL5 showed strong positive associations, while PAPP-A, Resistin, and TGF-α were inversely related to BMI z-score. Adjustment for socioeconomic status (SES) modestly altered several effect estimates, most notably for MMP-1 and CCL17, indicating partial social confounding. Functional enrichment revealed overrepresentation of cytokine-mediated signaling, extracellular matrix organization and angiogenesis pathways, highlighting coordinated immune, metabolic and vascular remodeling processes. CONCLUSIONS: Salivary DNAm-derived protein EpiScores capture biologically coherent and socially patterned molecular signatures of adiposity in children. These DNAm-based proxies provide a noninvasive means of detecting early alterations in metabolic regulation and may inform future longitudinal studies integrating biological and socioeconomic determinants of obesity risk.

Authors

Institutions

Publication Details

Journal
Clinical Epigenetics
Published
2026-04-21
DOI
https://doi.org/10.1186/s13148-026-02062-8
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Non-invasive epigenetic protein signatures associated with childhood obesity

Priyadarshni Patel, Thangiah Geetha, Erika M. Richter, Jeganathan R. Babu
Clinical Epigenetics
Epigenetics and DNA Methylation
article

Non-invasive epigenetic protein signatures associated with childhood obesity

Priyadarshni Patel, Thangiah Geetha, Erika M. Richter, Jeganathan R. Babu
article en

Abstract

BACKGROUND: Childhood obesity is a major predictor of lifelong chronic disease, yet the biological mechanisms linking early-life exposures to adiposity remain incompletely understood. Inflammatory and metabolic proteins have been implicated in obesity-related pathways, but their clinical utility in children is limited by biological variability and the invasiveness of sample collection. DNA methylation (DNAm)-derived protein proxies, or EpiScores, offer a stable, non-invasive alternative tool for capturing systemic physiological processes and may provide novel insights into the early biological embedding of obesity risk. METHODS: We examined associations between 105 DNAm-derived protein EpiScores and body mass index (BMI) z-scores in a socioeconomically diverse cohort of 31 school-aged children. EpiScores were generated using the MethylDetectR platform, and linear regression models, adjusted for sex, age, race, saliva cell-type proportions, and socioeconomic status (SES; maternal education and annual household income), were used to evaluate associations. Parallel models excluding SES were compared to quantify confounding. False discovery rate (FDR) correction was applied. Functional enrichment and protein-protein interaction (PPI) analyses were performed using STRINGdB. RESULTS: Fifteen EpiScores demonstrated nominal significance with BMI z-score (p ≤ 0.05) and were further evaluated using a discovery-level FDR threshold (FDR q ≤ 0.20). VEGFA, MMP-12, MMP-1, and CDL5 showed strong positive associations, while PAPP-A, Resistin, and TGF-α were inversely related to BMI z-score. Adjustment for socioeconomic status (SES) modestly altered several effect estimates, most notably for MMP-1 and CCL17, indicating partial social confounding. Functional enrichment revealed overrepresentation of cytokine-mediated signaling, extracellular matrix organization and angiogenesis pathways, highlighting coordinated immune, metabolic and vascular remodeling processes. CONCLUSIONS: Salivary DNAm-derived protein EpiScores capture biologically coherent and socially patterned molecular signatures of adiposity in children. These DNAm-based proxies provide a noninvasive means of detecting early alterations in metabolic regulation and may inform future longitudinal studies integrating biological and socioeconomic determinants of obesity risk.

Clinical EpigeneticsVol. 18(1)
Emory University (US), Clemson University (US), Auburn University (US)
U.S. Department of Agriculture, Clemson University, National Institute of Food and Agriculture
Zero hunger
Openalex Percentile: Top 19%
Epigenetics and DNA Methylation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.