Evidence map›Paper›PMID 37869908›Full record

ArticleObesity (Silver Spring, Md.)2024

Cord blood DNA methylation of immune and lipid metabolism genes is associated with maternal triglycerides and child adiposity.

Stephanie W Waldrop, Sierra Niemiec, Cheyret Wood, Lauren E Gyllenhammer, Thomas Jansson, Jacob E Friedman, Jeanie B Tryggestad, Sarah J Borengasser, Elizabeth J Davidson, Ivana V Yang and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-weighted citation impact, top 11% of its field
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

17 citing papers in PubMed, 16 citations in OpenAlex.

  1. Beyond Deterministic Fetal Programming: Intrauterine Exposures and the Multifactorial Origins of Adiposity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Review
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Review
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  8. Article
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  11. Tracing the Lipid Fingerprints of Preeclampsia.Reproductive sciences (Thousand Oaks, Calif.) · 2025
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
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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

13 authors at 5 institutions in 2 countries.

Stephanie W WaldropSection of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Sierra NiemiecDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID 0000-0001-9868-0654
Cheyret WoodDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Lauren E GyllenhammerDepartment of Pediatrics, University of California, Irvine, School of Medicine, Irvine, California, USA.
Thomas JanssonDepartment of Obstetrics and Gynecology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Jacob E FriedmanHarold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA.
Jeanie B TryggestadHarold Hamm Diabetes Center, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA.ORCID 0000-0002-5050-0850
Sarah J BorengasserSection of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Elizabeth J DavidsonDepartment of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Ivana V YangDepartment of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Katerina KechrisDepartment of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Dana DabeleaThe Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, Colorado, USA.
Kristen E BoyleSection of Nutrition, Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID 0000-0001-9689-3322
Colorado School of Public Health · USUniversity of Colorado Anschutz Medical Campus · USIFB Adiposity Diseases · DEUniversity of Oklahoma Health Sciences Center · USUniversity of California, Irvine · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI JANINE A HIGGINS · 1995 to 2026
$32.6M
Colorado Clinical and Translational Sciences Institute (CCTSI)UM1TR004399 · NCATS · UNIVERSITY OF COLORADO DENVER · PI JANINE A HIGGINS, RONALD J. SOKOL · 2023 to 2026
$30.7M
Exploring the Fuel-Mediated Programming of Neonatal GrowthR01DK076648 · NIDDK · UNIVERSITY OF COLORADO DENVER/HSC DENVER · PI DABELEA, DANA · 2009 to 2018
$7.0M
NIDDK National Research Service Award (NRSA) T32 Diversity Administrative SupplementT32DK007658 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Kristen Elizabeth Boyle, Ihuoma U Eneli · 1991 to 2026
$6.0M
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
Epigenetic programming of infant mesenchymal stem cells: mechanisms for obesity and diabetes risk in humansR01DK117168 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI BOYLE, KRISTEN ELIZABETH · 2018 to 2022
$1.7M
NCATS NIH HHS UL1 TR001082NCATS NIH HHS UL1 TR002535NCATS NIH HHS UM1 TR004399NCI NIH HHS P30 CA046934NIDDK NIH HHS R01 DK076648NIDDK NIH HHS R01 DK117168NIDDK NIH HHS T32 DK007658NIH HHS UG3 OD023248
6 · The paper itself

Abstract

objectiveFetal exposures may impact offspring epigenetic signatures and adiposity. The authors hypothesized that maternal metabolic traits associate with cord blood DNA methylation, which, in turn, associates with child adiposity.

methodsFasting serum was obtained in 588 pregnant women (27-34 weeks' gestation), and insulin, glucose, high-density lipoprotein cholesterol, triglycerides, and free fatty acids were measured. Cord blood DNA methylation and child adiposity were measured at birth, 4-6 months, and 4-6 years. The association of maternal metabolic traits with DNA methylation (429,246 CpGs) for differentially methylated probes (DMPs) and regions (DMRs) was tested. The association of the first principal component of each DMR with child adiposity was tested, and mediation analysis was performed.

resultsMaternal triglycerides were associated with the most DMPs and DMRs of all traits tested (261 and 198, respectively, false discovery rate < 0.05). DMRs were near genes involved in immune function and lipid metabolism. Triglyceride-associated CpGs were associated with child adiposity at 4-6 months (32 CpGs) and 4-6 years (2 CpGs). One, near CD226, was observed at both timepoints, mediating 10% and 22% of the relationship between maternal triglycerides and child adiposity at 4-6 months and 4-6 years, respectively.

conclusionsDNA methylation may play a role in the association of maternal triglycerides and child adiposity.

Indexed as

AdiposityDNA MethylationChildFemaleFetal BloodHumansInfant, NewbornLipid MetabolismObesityPregnancyTriglyceridesTriglycerides

Identifiers

PMID37869908
PMCPMC10872762
OpenAlexW4387866182

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Registered trials

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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 OpenQuestion graph.