ArticleEnvironmental health perspectives2021
Cross-Sectional Estimation of Endogenous Biomarker Associations with Prenatal Phenols, Phthalates, Metals, and Polycyclic Aromatic Hydrocarbons in Single-Pollutant and Mixtures Analysis Approaches.
Article in Environmental health perspectives, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 57 citations in OpenAlex.
- A comparison and evaluation of statistical methods for mediation analysis with mixtures of environmental exposures.BMC medical research methodology · 2026Article
- Associations between prenatal per- and polyfluoroalkyl substances (PFAS) and repeated measures of bioactive lipids during pregnancy in the LIFECODES cohort.The Science of the total environment · 2026Article
- Prenatal exposure to phthalate mixtures and child neurodevelopment in toddlers aged 1-3 years from the PROTECT birth cohort.International journal of hygiene and environmental health · 2025Article
- Consumer Product Chemical Mixtures and Oxylipin-Mediated Inflammation and Oxidative Stress during Early Pregnancy: Findings from a Large US Pregnancy Cohort.Environmental science & technology · 2025Article
- Association of Phenols, Parabens, and Their Mixture with Maternal Blood Pressure Measurements in the PROTECT Cohort.Environmental health perspectives · 2024Article
- Accommodating detection limits of multiple exposures in environmental mixture analyses: an overview of statistical approaches.Environmental health : a global access science source · 2024Article
- Cross-Sectional Associations between Prenatal Per- and Poly-Fluoroalkyl Substances and Bioactive Lipids in Three Environmental Influences on Child Health Outcomes (ECHO) Cohorts.Environmental science & technology · 2024Article
- Prenatal exposures to phthalates and bisphenols in relation to oxidative stress: single pollutant and mixtures analyses.Environmental science and pollution research international · 2024Article
- Cross-sectional associations between prenatal maternal per- and poly-fluoroalkyl substances and bioactive lipids in three Environmental influences on Child Health Outcomes (ECHO) cohorts.medRxiv : the preprint server for health sciences · 2023Article
- Associations of phthalates, phthalate replacements, and their mixtures with eicosanoid biomarkers during pregnancy.Environment international · 2023Article
- Article
- Associations of per- and polyfluoroalkyl substances (PFAS) and their mixture with oxidative stress biomarkers during pregnancy.Environment international · 2022Article
- Perfluoroalkyl substances (PFASs) as risk factors for breast cancer: a case-control study in Chinese population.Environmental health : a global access science source · 2022Article
- Biomarkers of Exposure to Phthalate Mixtures and Adverse Birth Outcomes in a Puerto Rico Birth Cohort.Environmental health perspectives · 2022Article
- Child serum metabolome and traffic-related air pollution exposure in pregnancy.Environmental research · 2022Article
- Longitudinal exposure to consumer product chemicals and changes in plasma oxylipins in pregnant women.Environment international · 2021Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundHumans are exposed to mixtures of toxicants that can impact several biological pathways. We investigated the associations between multiple classes of toxicants and an extensive panel of biomarkers indicative of lipid metabolism, inflammation, oxidative stress, and angiogenesis.
methodsWe conducted a cross-sectional study of 173 participants (median 26 wk gestation) from the LIFECODES birth cohort. We measured exposure analytes of multiple toxicant classes [metals, phthalates, phenols, and polycyclic aromatic hydrocarbons (PAHs)] in urine samples. We also measured endogenous biomarkers (eicosanoids, cytokines, angiogenic markers, and oxidative stress markers) in either plasma or urine. We estimated pair-wise associations between exposure analytes and endogenous biomarkers using multiple linear regression after adjusting for covariates. We used adaptive elastic net regression, hierarchical Bayesian kernel machine regression, and sparse-group LASSO regression to evaluate toxicant mixtures associated with individual endogenous biomarkers.
resultsAfter false-discovery adjustment ( DISCUSSION: This study characterizes cross-sectional endogenous biomarker signatures associated with individual and mixtures of prenatal toxicant exposures. These results can help inform the prioritization of specific pairs or clusters of endogenous biomarkers and exposure analytes for investigating health outcomes. https://doi.org/10.1289/EHP7396.
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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.