Joint and Independent Neurotoxic Effects of Early Life Exposures to a Chemical Mixture: A Multi-pollutant Approach Combining Ensemble Learning and G-computation
Overview
Authors
Affiliations
Background: Exposure to mercury (Hg) is associated with adverse developmental effects. However, Hg occurs with a multitude of chemicals. We assessed the associations of developmental exposure to multiple pollutants with children's neurodevelopment using a novel approach.
Methods: Hg, polychlorinated biphenyls (PCBs), and perfluoroalkyl substances were measured in maternal and children's blood at 5-years (n=449 and 419). At 7-years, children were administered Boston Naming Test (BNT) and the Strengths and Difficulties Questionnaire (SDQ). We used the G-formula combined with SuperLearner to estimate independent and joint effects of chemicals at both ages. We constructed flexible exposure-response relationships and assessed interactions.
Results: Most chemicals showed negative relationships with BNT scores. An inter-quartile range (IQR) increase in maternal Hg and perfluorooctanoic acid (PFOA) was associated with 0.15 standard deviation [SD] (95% Confidence Interval [CI]: -0.29,-0.03) and 0.14 SD (95%CI: -0.26,-0.05) lower scores in BNT, whereas a joint IQR increase in the mixture of chemicals was associated with 0.48 SD (95%CI: -0.69,-0.25) lower scores in BNT. An IQR increase in PFOA was associated with 0.11 SD (95%CI: 0.02,0.26) higher total SDQ difficulties scores. Maternal ∑PCBs concentrations were associated with lower SDQ scores (β=-0.09 SD; 95%CI: -0.19,0), whereas 5-years ∑PCBs showed a negative association (β=-0.09 SD; 95%CI: -0.21,0). Finally, a joint IQR increase in the mixture was associated with 0.22 SD (95%CI: 0.04,0.4) higher SDQ scores.
Conclusions: Using a novel statistical approach, we confirmed associations between prenatal mercury exposure and lower cognitive function. The potential developmental effects of PFASs need additional attention.
Li S, Qin S, Zeng H, Chou W, Oudin A, Kanninen K Eco Environ Health. 2024; 3(4):476-493.
PMID: 39605965 PMC: 11599988. DOI: 10.1016/j.eehl.2024.08.002.
Pan S, Li Z, Rubbo B, Quon-Chow V, Chen J, Baumert B J Expo Sci Environ Epidemiol. 2024; .
PMID: 39256588 PMC: 11891089. DOI: 10.1038/s41370-024-00717-3.
Tillaut H, Monfort C, Rouget F, Pele F, Laine F, Gaudreau E Environ Health Perspect. 2023; 131(11):117009.
PMID: 37971539 PMC: 10653211. DOI: 10.1289/EHP12540.
Aung M, Eick S, Padula A, Smith S, Park J, DeMicco E Environ Int. 2023; 172:107758.
PMID: 36682206 PMC: 10840585. DOI: 10.1016/j.envint.2023.107758.
Oh J, Shin H, Kannan K, Busgang S, Schmidt R, Schweitzer J Environ Res. 2022; 215(Pt 2):114322.
PMID: 36108719 PMC: 9976729. DOI: 10.1016/j.envres.2022.114322.