Evidence map›Paper›PMID 38176546›Full record

ArticleThe Science of the total environment2024

Prenatal and childhood lead exposure is prospectively associated with biological markers of aging in adolescence.

O M Halabicky, M M Téllez-Rojo, J M Goodrich, D C Dolinoy, A Mercado-García, H Hu, K E Peterson

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
3.8field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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

7 authors at 3 institutions in 2 countries.

O M HalabickyDepartment of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA. Electronic address: oliviamh@umich.edu.
M M Téllez-RojoCenter for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
J M GoodrichDepartment of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
D C DolinoyDepartment of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA; Department of Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
A Mercado-GarcíaCenter for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico.
H HuDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
K E PetersonDepartment of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
University of Michigan–Ann Arbor · USInstituto Nacional de Salud Pública · MXUniversity of Southern California · US

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Karen Eileen Peterson · 2010 to 2026
$20.3M
Stress, Lead, Iron Deficiency and NeurodevelopmentR01ES013744 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2007 to 2026
$13.4M
ENVIRONMENTAL TOXICOLOGY PRE/POST DOCTORAL RES.TRAININGT32ES007062 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin Adam Colacino · 1985 to 2026
$10.5M
Environmental Epigenomics and Precision Environmental HealthR35ES031686 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2020 to 2026
$6.1M
LEAD DOSE BIOMARKERS, REPRODUCTION, AND INFANT OUTCOMESR01ES007821 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PETERSON, KAREN EILEEN · 1998 to 2010
$4.7M
Project 3: Developmental Exposures and Diet: Epigenetics of Metabolic SyndromeP01ES022844 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MEEKER, JOHN D., PADMANABHAN, VASANTHA · 2013 to 2018
$3.9M
Metal Mixtures and NeurodevelopmentR01ES014930 · NIEHS · BRIGHAM AND WOMEN'S HOSPITAL · PI WRIGHT, ROBERT O · 2006 to 2010
$3.2M
E3Gen: Multigenerational Influences of Social Structure on Toxicant Exposures and Life Course Health in the ELEMENT CohortR24ES028502 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Karen Eileen Peterson, Peter Xuekun Song · 2017 to 2026
$2.2M
E3Gen: Multigenerational Influences of Social Structure on Toxicant Exposures and Life Course Health in the ELEMENT CohortU24ES028502 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PETERSON, KAREN EILEEN, SONG, PETER XUEKUN · 2023 to 2025
$1.0M
NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK089503NIEHS NIH HHS P01 ES022844NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES007821NIEHS NIH HHS R01 ES013744NIEHS NIH HHS R01 ES014930NIEHS NIH HHS R24 ES028502NIEHS NIH HHS R35 ES031686NIEHS NIH HHS T32 ES007062NIEHS NIH HHS U24 ES028502NINR NIH HHS L30 NR020943
6 · The paper itself

Abstract

Few studies have related early life lead exposure to adolescent biological aging, a period characterized by marked increases in maturational tempo. We examined associations between prenatal and childhood lead exposure and adolescent biological age (mean 14.5 years) utilizing multiple epigenetic clocks including: intrinsic (IEAA), extrinsic (EEAA), Horvath, Hannum, PhenoAge, GrimAge, Skin-Blood, Wu, PedBE, as well as DNA methylation derived telomere length (DNAmTL). Epigenetic clocks and DNAmTL were calculated via adolescent blood DNA methylation measured by Infinium MethylationEPIC BeadChips. We constructed general linear models (GLMs) with individual lead measures predicting biological age. We additionally examined sex-stratified models and lead by sex interactions, adjusting for adolescent age and lead levels, maternal smoking and education, and proportion of cell types. We also estimated effects of lead exposure on biological age using generalized estimating equations (GEE). First trimester blood lead was positively associated with a 0.14 increase in EEAA age in the GLMs though not the GEE models (95%CI 0.03, 0.25). First and 2nd trimester blood lead levels were associated with a 0.02 year increase in PedBE age in GLM and GEE models (1st trimester, 95%CI 0.004, 0.03; 2nd trimester, 95%CI 0.01, 0.03). Third trimester and 24 month blood lead levels were associated with a -0.06 and -0.05 decrease in Skin-Blood age, respectively, in GLM models. Additionally, 3rd trimester blood lead levels were associated with a 0.08 year decrease in Hannum age in GLM and GEE models (95%CI -0.15, -0.01). There were multiple significant results in sex-stratified models and significant lead by sex interactions, where males experienced accelerated biological age, compared to females who saw a decelerated biological age, with respect to IEAA, EEAA, Horvath, Hannum, and PedBE clocks. Further research is needed to understand sex-specific relationships between lead exposure and measures of biological aging in adolescence and the trajectory of biological aging into young adulthood.

Indexed as

AgingLeadAdolescentAdultBiomarkersChildDNA MethylationEpigenesis, GeneticFemaleHumansMalePregnancySmokingYoung AdultBiomarkersLeadBiological ageChild developmentEpigenetic clockLead exposure

Identifiers

PMID38176546
PMCPMC10823594
OpenAlexW4390490876

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.