Evidence map›Paper›PMID 38317694›Full record

ArticleEnvironmental health insights2024

Prenatal Metal Exposures and Child Social Responsiveness Scale Scores in 2 Prospective Studies.

Emma X Yu, John F Dou, Heather E Volk, Kelly M Bakulski, Kelly Benke, Irva Hertz-Picciotto, Rebecca J Schmidt, Craig J Newschaffer, Jason I Feinberg, Jason Daniels and 3 more

Abstract read
In one paragraph

Article in Environmental health insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

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

13 authors.

Emma X YuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
John F DouDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Heather E VolkDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Kelly M BakulskiDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Kelly BenkeDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Irva Hertz-PicciottoDepartment of Public Health Sciences and the MIND Institute, University of California Davis School of Medicine, Davis, CA, USA.
Rebecca J SchmidtDepartment of Public Health Sciences and the MIND Institute, University of California Davis School of Medicine, Davis, CA, USA.
Craig J NewschafferDepartment of Biobehavioral Health, College of Health and Human Development, The Pennsylvania State University, University Park, PA, USA.
Jason I FeinbergWendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA.
Jason DanielsWendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA.
Margaret Daniele FallinRollins School of Public Health, Emory University, Atlanta, GA, USA.
Christine Ladd-AcostaDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Ghassan B HamraDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

Early Autism Risk Longitudinal Investigation (EARLI) NetworkR01ES016443 · NIEHS · DREXEL UNIVERSITY · PI NEWSCHAFFER, CRAIG J · 2008 to 2013
$15.6M
UC Davis Center for Children's Environmental Health (CCEH)P01ES011269 · NIEHS · UNIVERSITY OF CALIFORNIA DAVIS · PI VAN DE WATER, JUDY A. · 2001 to 2018
$12.5M
Autism Risk, Prenatal Environmental Exposures, and Pathophysiologic MarkersR01ES020392 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HERTZ-PICCIOTTO, IRVA, OZONOFF, SALLY · 2011 to 2015
$9.0M
Environment, The Perinatal Epigenome, and Risk for Autism and Related DisordersR01ES017646 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI FALLIN, M DANIELE, FEINBERG, ANDREW P. · 2009 to 2013
$8.7M
Environmental Influence on Infant Microbiome Development and ASD SymptomsR01ES028089 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HERTZ-PICCIOTTO, IRVA, MILLS, DAVID ANDREW · 2016 to 2020
$3.6M
Prenatal exposure to metals and risk for Autism Spectrum Disorder in MARBLES and EARLIR01ES025531 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI VOLK, HEATHER E · 2016 to 2020
$3.2M
Expanding the Value of the EARLI study: Small Cohort with Big DataR24ES030893 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI VOLK, HEATHER E · 2020 to 2024
$2.0M
BUILDS MARBLES: Biorepository Upkeep and Infrastructure for Longitudinal Data Sharing for MARBLESU24ES028533 · NIEHS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CHAMBERS BUTCHER, BRITTANY D., SCHMIDT, REBECCA JEAN · 2023 to 2025
$1.2M
NIEHS NIH HHS P01 ES011269NIEHS NIH HHS R01 ES016443NIEHS NIH HHS R01 ES017646NIEHS NIH HHS R01 ES020392NIEHS NIH HHS R01 ES025531NIEHS NIH HHS R01 ES028089NIEHS NIH HHS R24 ES030893NIEHS NIH HHS U24 ES028533
6 · The paper itself

Abstract

Background: Prenatal exposure to metals is hypothesized to be associated with child autism. We aim to investigate the joint and individual effects of prenatal exposure to urine metals including lead (Pb), mercury (Hg), manganese (Mn), and selenium (Se) on child Social Responsiveness Scale (SRS) scores. Methods: We used data from 2 cohorts enriched for likelihood of autism spectrum disorder (ASD): Early Autism Risk Longitudinal Investigation (EARLI) and the Markers of Autism Risk in Babies-Learning Early Signs (MARBLES) studies. Metal concentrations were measured in urine collected during pregnancy. We used Bayesian Kernel Machine Regression and linear regression models to investigate both joint and independent associations of metals with SRS Z-scores in each cohort. We adjusted for maternal age at delivery, interpregnancy interval, maternal education, child race/ethnicity, child sex, and/or study site. Results: The final analytic sample consisted of 251 mother-child pairs. When Pb, Hg, Se, and Mn were at their 75th percentiles, there was a 0.03 increase (95% credible interval [CI]: -0.11, 0.17) in EARLI and 0.07 decrease (95% CI: -0.29, 0.15) in MARBLES in childhood SRS Z-scores, compared to when all 4 metals were at their 50th percentiles. In both cohorts, increasing concentrations of Pb were associated with increasing values of SRS Z-scores, fixing the other metals to their 50th percentiles. However, all the 95% credible intervals contained the null. Conclusions: There were no clear monotonic associations between the overall prenatal metal mixture in pregnancy and childhood SRS Z-scores at 36 months. There were also no clear associations between individual metals within this mixture and childhood SRS Z-scores at 36 months. The overall effects of the metal mixture and the individual effects of each metal within this mixture on offspring SRS Z-scores might be heterogeneous across child sex and cohort. Further studies with larger sample sizes are warranted.

Indexed as

ASDBKMRMixture

Identifiers

PMID38317694
PMCPMC10840406

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.