Evidence map›Paper›PMID 37224946›Full record

ArticleEnvironmental research2023

Prenatal exposures to per- and polyfluoroalkyl substances and epigenetic aging in umbilical cord blood: The Healthy Start study.

Sierra S Niemiec, Katerina Kechris, Jack Pattee, Ivana V Yang, John L Adgate, Antonia M Calafat, Dana Dabelea, Anne P Starling

Abstract read
In one paragraph

Article in Environmental research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Epigenetic Consequences of In Utero PFAS Exposure: Implications for Development and Long-Term Health.International journal of environmental research and public health · 2025
    Review
  7. Article
  8. Maternal Nutrition, Toxicants, and Epigenetic Programming of Obesity Across Generations.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sierra S NiemiecCenter for Innovative Design and Analysis, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA. Electronic address: sierra.niemiec@cuanschutz.edu.
Katerina KechrisCenter for Innovative Design and Analysis, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Jack PatteeCenter for Innovative Design and Analysis, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Ivana V YangDivision of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA; Center for Genes, Environment and Health, National Jewish Health, Denver, CO, USA; Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
John L AdgateDepartment of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Aurora, CO, USA.
Antonia M CalafatDivision of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Dana DabeleaDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Anne P StarlingDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Hazel B Nichols · 2001 to 2026
$36.3M
The Early Life Exposome and Childhood Health - The Colorado Healthy Start 3 Cohort StudyUH3OD023248 · OD · UNIVERSITY OF COLORADO DENVER · PI Traci Allison Bekelman, Dana Dabelea · 2018 to 2026
$14.8M
Exploring the Fuel-Mediated Programming of Neonatal GrowthR01DK076648 · NIDDK · UNIVERSITY OF COLORADO DENVER/HSC DENVER · PI DABELEA, DANA · 2009 to 2018
$7.0M
The Early Life Exposome and Childhood Health - The Colorado Healthy Start 3 Cohort StudyUG3OD023248 · OD · UNIVERSITY OF COLORADO DENVER · PI BEKELMAN, TRACI ALLISON, DABELEA, DANA · 2016 to 2024
$5.9M
Endocrine disruptors, epigenetic programming and neonatal outcomesR01ES022934 · NIEHS · UNIVERSITY OF COLORADO DENVER · PI ADGATE, JOHN L., DABELEA, DANA · 2014 to 2017
$2.3M
NIDDK NIH HHS R01 DK076648NIEHS NIH HHS P30 ES010126NIEHS NIH HHS R01 ES022934NIH HHS UG3 OD023248NIH HHS UH3 OD023248
6 · The paper itself

Abstract

backgroundPer- and polyfluoroalkyl substances (PFAS) are ubiquitous, environmentally persistent chemicals, and prenatal exposures have been associated with adverse child health outcomes. Prenatal PFAS exposure may lead to epigenetic age acceleration (EAA), defined as the discrepancy between an individual's chronologic and epigenetic or biological age.

objectivesWe estimated associations of maternal serum PFAS concentrations with EAA in umbilical cord blood DNA methylation using linear regression, and a multivariable exposure-response function of the PFAS mixture using Bayesian kernel machine regression.

methodsFive PFAS were quantified in maternal serum (median: 27 weeks of gestation) among 577 mother-infant dyads from a prospective cohort. Cord blood DNA methylation data were assessed with the Illumina HumanMethylation450 array. EAA was calculated as the residuals from regressing gestational age on epigenetic age, calculated using a cord-blood specific epigenetic clock. Linear regression tested for associations between each maternal PFAS concentration with EAA. Bayesian kernel machine regression with hierarchical selection estimated an exposure-response function for the PFAS mixture.

resultsIn single pollutant models we observed an inverse relationship between perfluorodecanoate (PFDA) and EAA (-0.148 weeks per log-unit increase, 95% CI: -0.283, -0.013). Mixture analysis with hierarchical selection between perfluoroalkyl carboxylates and sulfonates indicated the carboxylates had the highest group posterior inclusion probability (PIP), or relative importance. Within this group, PFDA had the highest conditional PIP. Univariate predictor-response functions indicated PFDA and perfluorononanoate were inversely associated with EAA, while perfluorohexane sulfonate had a positive association with EAA.

conclusionsMaternal mid-pregnancy serum concentrations of PFDA were negatively associated with EAA in cord blood, suggesting a pathway by which prenatal PFAS exposures may affect infant development. No significant associations were observed with other PFAS. Mixture models suggested opposite directions of association between perfluoroalkyl sulfonates and carboxylates. Future studies are needed to determine the importance of neonatal EAA for later child health outcomes.

Indexed as

Alkanesulfonic AcidsEnvironmental PollutantsFluorocarbonsPrenatal Exposure Delayed EffectsAlkanesulfonatesBayes TheoremCarboxylic AcidsChildEpigenesis, GeneticFemaleFetal BloodHumansInfantInfant, NewbornMothersPregnancyAlkanesulfonatesAlkanesulfonic AcidsCarboxylic AcidsEnvironmental PollutantsFluorocarbonsEpigenetic agingMixtures analysisPer- and polyfluoroalkyl substances (PFAS)Perfluoroalkyl carboxylatesPerfluoroalkyl sulfonatesPrenatal exposures

Identifiers

PMID37224946
PMCPMC10330919

What Socratic holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.