Evidence map›Paper›PMID 33164632›Full record

ArticleEpigenetics2021

Tissue and sex-specific programming of DNA methylation by perinatal lead exposure: implications for environmental epigenetics studies.

Laurie K Svoboda, Kari Neier, Kai Wang, Raymond G Cavalcante, Christine A Rygiel, Zing Tsai, Tamara R Jones, Siyu Liu, Jaclyn M Goodrich, Claudia Lalancette and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Epigenetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Perinatal lead (Pb) exposure and alterations to amyloid beta and metabolic profiles in the brain.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  17. Sex-Specific Alterations in Cardiac DNA Methylation in Adult Mice by Perinatal Lead Exposure.International journal of environmental research and public health · 2021
    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 1 institution in 1 country.

Laurie K SvobodaEnvironmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0002-0003-4513
Kari NeierEnvironmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Kai WangDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School Palmer Commons, Ann Arbor, MI, USA.
Raymond G CavalcanteEpigenomics Core, University of Michigan, Medical School, Ann Arbor, MI, USA.ORCID 0000-0002-6986-4283
Christine A RygielEnvironmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0001-7690-8945
Zing TsaiEnvironmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0002-4006-1559
Tamara R JonesEnvironmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Siyu LiuDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School Palmer Commons, Ann Arbor, MI, USA.ORCID 0000-0002-5681-7824
Jaclyn M GoodrichEnvironmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0002-8289-9253
Claudia LalancetteEpigenomics Core, University of Michigan, Medical School, Ann Arbor, MI, USA.
Justin A ColacinoEnvironmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0002-5882-4569
Maureen A SartorDepartment of Computational Medicine and Bioinformatics, University of Michigan Medical School Palmer Commons, Ann Arbor, MI, USA.ORCID 0000-0001-6155-5702
Dana C DolinoyEnvironmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA.ORCID 0000-0002-3304-2456
University of Michigan · US

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 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
University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
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
Diversity SupplementR01ES028802 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Justin Adam Colacino · 2018 to 2026
$4.8M
Project 3: Developmental Exposures and Diet: Epigenetics of Metabolic SyndromeP01ES022844 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PADMANABHAN, VASANTHA, PETERSON, KAREN EILEEN · 2013 to 2018
$3.9M
Perinatal Exposures, Tissue- and Cell-specific Epigenomics, & Lifecourse OutcomesU01ES026697 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DOLINOY, DANA · 2016 to 2019
$3.6M
Career Training in Reproductive BiologyT32HD079342 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Suzanne M MOENTER · 2014 to 2026
$2.3M
NHGRI NIH HHS T32 HG000040NICHD NIH HHS T32 HD079342NIDDK NIH HHS P30 DK020572NIEHS NIH HHS P01 ES022844NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES028802NIEHS NIH HHS R35 ES031686NIEHS NIH HHS T32 ES007062NIEHS NIH HHS U01 ES026697
6 · The paper itself

Abstract

Early developmental environment can influence long-term health through reprogramming of the epigenome. Human environmental epigenetics studies rely on surrogate tissues, such as blood, to assess the effects of environment on disease-relevant but inaccessible target tissues. However, the extent to which environment-induced epigenetic changes are conserved between these tissues is unclear. A better understanding of this conservation is imperative for effective design and interpretation of human environmental epigenetics studies. The Toxicant Exposures and Responses by Genomic and Epigenomic Regulators of Transcription (TaRGET II) consortium was established by the National Institute of Environmental Health Sciences to address the utility of surrogate tissues as proxies for toxicant-induced epigenetic changes in target tissues. We and others have recently reported that perinatal exposure to lead (Pb) is associated with adverse metabolic outcomes. Here, we investigated the sex-specific effects of perinatal exposure to a human environmentally relevant level of Pb on DNA methylation in paired liver and blood samples from adult mice using enhanced reduced-representation bisulphite sequencing. Although Pb exposure ceased at 3 weeks of age, we observed thousands of sex-specific differentially methylated cytosines in the blood and liver of Pb-exposed animals at 5 months of age, including 44 genomically imprinted loci. We observed significant tissue overlap in the genes mapping to differentially methylated cytosines. A small but significant subset of Pb-altered genes exhibit basal sex differences in gene expression in the mouse liver. Collectively, these data identify potential molecular targets for Pb-induced metabolic diseases, and inform the design of more robust human environmental epigenomics studies.

Indexed as

DNA MethylationEpigenomicsAnimalsCytosineEnvironmental ExposureEpigenesis, GeneticFemaleLeadMaleMicePregnancyCytosineLeadDevelopmental origins of health and disease (DOHaD)DNA methylationenvironmental epigenomicssex differencessurrogate tissueToxicoepigenetics

Identifiers

PMID33164632
PMCPMC8510611
OpenAlexW3104176163

What OpenQuestion holds

Textmetadata
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.