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

ASD BKMR Mixture

Journal

Environmental health insights
ISSN: 1178-6302
Titre abrégé: Environ Health Insights
Pays: United States
ID NLM: 101488505

Informations de publication

Date de publication:
2024
Historique:
received: 27 10 2023
accepted: 20 12 2023
medline: 6 2 2024
pubmed: 6 2 2024
entrez: 6 2 2024
Statut: epublish

Résumé

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. 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. 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. 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.

Sections du résumé

Background UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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 UNASSIGNED
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.

Identifiants

pubmed: 38317694
doi: 10.1177/11786302231225313
pii: 10.1177_11786302231225313
pmc: PMC10840406
doi:

Types de publication

Journal Article

Langues

eng

Pagination

11786302231225313

Informations de copyright

© The Author(s) 2024.

Déclaration de conflit d'intérêts

The author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: RJS has received funding to support the MARBLES Study from the Simons Foundation. RJS consults for the Beasley Law Firm and the Linus Technology, Inc. RJS has received travel support to present at the 35th Annual Meeting of the Organization of Teratology Information Specialists (OTIS). RJS has received compensation to serve on NIH Reviews.

Auteurs

Emma X Yu (EX)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

John F Dou (JF)

Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.

Heather E Volk (HE)

Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA.
Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Kelly M Bakulski (KM)

Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.

Kelly Benke (K)

Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Irva Hertz-Picciotto (I)

Department of Public Health Sciences and the MIND Institute, University of California Davis School of Medicine, Davis, CA, USA.

Rebecca J Schmidt (RJ)

Department of Public Health Sciences and the MIND Institute, University of California Davis School of Medicine, Davis, CA, USA.

Craig J Newschaffer (CJ)

Department of Biobehavioral Health, College of Health and Human Development, The Pennsylvania State University, University Park, PA, USA.

Jason I Feinberg (JI)

Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA.

Jason Daniels (J)

Wendy Klag Center for Autism and Developmental Disabilities, Baltimore, MD, USA.

Margaret Daniele Fallin (MD)

Rollins School of Public Health, Emory University, Atlanta, GA, USA.

Christine Ladd-Acosta (C)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Ghassan B Hamra (GB)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Classifications MeSH