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Prenatal exposure to multiple phenolic compounds, fetal reproductive hormones, and the second to fourth digit ratio of children aged 10 years in a prospective birth cohort
School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education/Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, China.
School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education/Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, China.
School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education/Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, China.
School of Public Health/Key Laboratory of Public Health Safety of Ministry of Education/Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China, Fudan University, Shanghai, China.
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2021 (English)In: Chemosphere, ISSN 0045-6535, E-ISSN 1879-1298, Vol. 263, article id 127877Article in journal (Refereed) Published
Abstract [en]

Select phenols are known to possess hormone-disrupting properties, but no previous study has addressed the potential effects of prenatal exposure to phenol mixtures on fetal reproductive hormones and children's second to fourth digit (2D: 4D) ratio, a marker for in utero testosterone (T) exposure. We aimed to explore interrelations of prenatal phenol exposures individually and in mixtures, cord serum reproductive hormones, and 2D: 4D ratio of children aged 10 years. Urinary 11 phenol concentrations were determined from 392 pregnant women participating in a longitudinal birth cohort. We estimated associations of prenatal phenol exposures individually and in mixtures with cord reproductive hormones and children's 2D:4D ratio using three statistical approaches, including generalized linear models (GLMs), elastic net regression (ENR) models and Bayesian kernel machine regression (BKMR) models. In female newborns, the three models showed that maternal triclosan (TCS) concentrations were significantly negatively associated with cord serum T levels [regression coefficient (β) = -0.076, 95% confidence interval (CI): 0.138, -0.013; p = 0.018]. Additionally, maternal urinary bisphenol A (BPA) levels were related to decreases in 2D:4D ratio of the left hand in girls by GLMs (β = -0.003, 95% CI: 0.007, -0.001; p = 0.024) and ENR models, but not BKMR models. We provided evidence that prenatal TCS exposure predicted lower cord serum T levels, and maternal BPA exposure was related to decreased 2D:4D ratio of the left hand in females.

Place, publisher, year, edition, pages
Pergamon Press, 2021. Vol. 263, article id 127877
Keywords [en]
Bayesian kernel machine regression, Elastic net regression, Phenol mixtures, Reproductive hormones, The second to fourth digit ratio
National Category
Occupational Health and Environmental Health
Identifiers
URN: urn:nbn:se:oru:diva-88045DOI: 10.1016/j.chemosphere.2020.127877ISI: 000595802200040PubMedID: 32835969Scopus ID: 2-s2.0-85089561577OAI: oai:DiVA.org:oru-88045DiVA, id: diva2:1509897
Note

Funding Agencies:

Natural Science Foundation of Shanghai 18ZR1404200

Shanghai Municipal Health Commission Program 201640037

Available from: 2020-12-14 Created: 2020-12-14 Last updated: 2021-01-20Bibliographically approved

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Cao, Yang

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