Evidence map›Paper›PMID 28858830›Full record

ArticleEnvironmental health perspectives2017

Exposure to Low Levels of Lead

Shaowei Wu, Marie-France Hivert, Andres Cardenas, Jia Zhong, Sheryl L Rifas-Shiman, Golareh Agha, Elena Colicino, Allan C Just, Chitra Amarasiriwardena, Xihong Lin and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 pooled it
3.4field-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

56 citing papers in PubMed, 3 syntheses or guidelines pooled it, 94 citations in OpenAlex.

  1. Pooled it
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  13. Environmental lead risk in the 21st century.Communications earth & environment · 2025
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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

16 authors at 6 institutions in 2 countries.

Shaowei WuDepartment of Occupational and Environmental Health Sciences, School of Public Health, Peking University , Beijing, China.
Marie-France HivertDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute , Boston, Massachusetts, USA.
Andres CardenasDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute , Boston, Massachusetts, USA.
Jia ZhongDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University , New York, New York, USA.
Sheryl L Rifas-ShimanDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute , Boston, Massachusetts, USA.
Golareh AghaDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University , New York, New York, USA.
Elena ColicinoDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University , New York, New York, USA.
Allan C JustDepartment of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Chitra AmarasiriwardenaDepartment of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Xihong LinDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Augusto A LitonjuaChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts, USA.
Dawn L DeMeoChanning Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts, USA.
Matthew W GillmanEnvironmental Influences on Child Health Outcomes (ECHO) Office of the Director, National Institutes of Health, Department of Health and Human Services , Rockville, Maryland, USA.
Robert O WrightDepartment of Preventive Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Emily OkenDivision of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute , Boston, Massachusetts, USA.
Andrea A BaccarelliDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University , New York, New York, USA.
Harvard University · USColumbia University · USIcahn School of Medicine at Mount Sinai · USBrigham and Women's Hospital · USNational Institutes of Health · USPeking University · CN

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Manish Arora · 2014 to 2026
$21.3M
Prenatal environmental determinants of health in young adulthood: a lifecourse approachR01HD034568 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI Marie-France Hivert, Emily Oken · 1998 to 2026
$20.6M
Stress, Lead, Iron Deficiency and NeurodevelopmentR01ES013744 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Robert O Wright · 2007 to 2026
$13.4M
Pre- and Peri-natal Predictors of Childhood ObesityR37HD034568 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI GILLMAN, MATTHEW W · 2012 to 2015
$4.5M
Early Life DNA Methylation and Childhood Allergic DiseaseR01HL111108 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DEMEO, DAWN L · 2013 to 2016
$3.0M
Novel Epigenomic Biomarkers of Prenatal Risk Factors, and Childhood ObesityR01NR013945 · NINR · HARVARD SCHOOL OF PUBLIC HEALTH · PI BACCARELLI, ANDREA · 2013 to 2015
$1.6M
Effects of prenatal diet and mercury exposure on child behavior and developmentR01ES016314 · NIEHS · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2008 to 2011
$1.4M
Epidemiology & epigenetics: Maternal diet, DNA methylation, & offspring adiposityRC1HD063590 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI GILLMAN, MATTHEW W · 2009 to 2010
$996k
Patient-oriented Research in Maternal Perinatal Overnutrition and Child AdiposityK24HD069408 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI OKEN, EMILY · 2011 to 2015
$844k
Prenatal Exposure to Endocrine Disrupters, DNA Methylation, and Childhood ObesityR00ES023450 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI JUST, ALLAN C. · 2016 to 2018
$747k
NHLBI NIH HHS R01 HL111108NICHD NIH HHS K24 HD069408NICHD NIH HHS R01 HD034568NICHD NIH HHS R37 HD034568NICHD NIH HHS RC1 HD063590NIEHS NIH HHS P30 ES000002NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P30 ES023515NIEHS NIH HHS R00 ES023450NIEHS NIH HHS R01 ES013744NIEHS NIH HHS R01 ES016314NINR NIH HHS R01 NR013945
6 · The paper itself

Abstract

backgroundEarly-life exposure to lead is associated with deficits in neurodevelopment and with hematopoietic system toxicity. DNA methylation may be one of the underlying mechanisms for the adverse effects of prenatal lead on the offspring, but epigenome-wide methylation data for low levels of prenatal lead exposure are lacking.

objectivesWe investigated the association between prenatal maternal lead exposure and epigenome-wide DNA methylation in umbilical cord blood nucleated cells in Project Viva, a prospective U.S.-based prebirth cohort with relatively low levels of lead exposure.

methodsAmong 268 mother-infant pairs, we measured lead concentrations in red blood cells (RBC) from prenatal maternal blood samples, and using HumanMethylation450 Bead Chips, we measured genome-wide methylation levels at 482,397 CpG loci in umbilical cord blood and retained 394,460 loci after quality control. After adjustment for batch effects, cell types, and covariates, we used robust linear regression models to examine associations of prenatal lead exposure with DNA methylation in cord blood at epigenome-wide significance level [false discovery rate (FDR)<0.05].

resultsThe mean [standard deviation (SD)] maternal RBC lead level was 1.22 (0.63) μg/dL. CpG cg10773601 showed an epigenome-wide significant negative association with prenatal lead exposure (-1.4% per doubling increase in lead exposure; p=2.3×10-7) and was annotated to C-Type Lectin Domain Family 11, Member A (

conclusionPrenatal low-level lead exposure was associated with newborn DNA methylation, particularly in female infants. https://doi.org/10.1289/EHP1246.

Indexed as

Genome-Wide Association StudyMaternal ExposureAdultChildDNA MethylationEnvironmental PollutantsErythrocytesFemaleFetal BloodHumansInfant, NewbornLeadMalePregnancyPrenatal Exposure Delayed EffectsProspective StudiesEnvironmental PollutantsLead

Identifiers

PMID28858830
PMCPMC5783669
OpenAlexW2750633386

What OpenQuestion holds

Textmetadata
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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.