Prenatal Exposure to Synthetic Phenols Assessed in Multiple Urine Samples and Dysregulation of Steroid Hormone Homeostasis in Two European Cohorts.
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| Title: | Prenatal Exposure to Synthetic Phenols Assessed in Multiple Urine Samples and Dysregulation of Steroid Hormone Homeostasis in Two European Cohorts. |
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| Authors: | Jedynak, Paulina1,2,3,4, Bustamante, Mariona2,3,4, Rolland, Matthieu1, Mustieles, Vicente4,5,6, Thomsen, Cathrine7, Sakhi, Amrit K.7, Sabaredzovic, Azemira7, Foraster, Maria2,3,4, Gascon, Mireia2,3,4,8, Gómez-Roig, Maria Dolores9,10, Llurba, Elisa2,3,4, Rivas, Ioar2,3,4, Ouellet-Morin, Isabelle11, Bayat, Sam12, Lyon-Caen, Sarah1, Pozo, Oscar J.13, Vrijheid, Martine2,3,4, Sunyer, Jordi2,3,4,14, Slama, Rémy1, Dadvand, Payam2,3,4 |
| Source: | Environmental Health Perspectives. May2025, Vol. 133 Issue 5, p057011-1-057011-11. 11p. |
| Subject Terms: | *Homeostasis, *Ketones, *Phenols, Sex hormones, Testosterone, Prenatal exposure delayed effects, Hair analysis, Research funding, Maternal-child health services, Sex distribution, Pregnant women, Hydrocortisone, Descriptive statistics, Longitudinal method, Triclosan, Metabolites, Gestational age, Hydroxy acids, Confidence intervals, Regression analysis, Pregnancy |
| Geographic Terms: | Europe |
| Abstract: | BACKGROUND: Some synthetic phenols alter hormonal pathways involved in successful pregnancy and fetal development. Despite high within-subject temporal variability of phenols, previous studies mostly utilized spot urine samples to assess pregnancy exposure. Herein, we investigated associations between pregnancy exposure to eight phenols assessed in multiple pooled urine samples and steroid hormones assessed in maternal hair reflecting cumulative hormone levels over the previous weeks to months. METHODS: We assessed phenol-hormone associations in 928 pregnant women from two pooled cohorts recruited in Spain [Barcelona Life Study Cohort (BiSC), 2018-2021] and France [Assessment of Air Pollution exposure during Pregnancy and Effect on Health (SEPAGES), 2014-2017] using pools of up to 21 samples each, collected in early pregnancy (median gestational age: 18.0 wk), as well as hair collected in late pregnancy (BiSC) or at birth (SEPAGES). We measured two bisphenols, four parabens, benzophenone-3, and triclosan along with metabolites of three adrenal (∑ cortisol, ∑ cortisone, and 11-dehydrocorticosterone) and two reproductive (progesterone and testosterone) hormones. We ran adjusted linear regressions for each exposure biomarker-outcome pair and Bayesian kernel machine regression for phenols mixture. RESULTS: Bisphenol S was associated with higher cortisol and 11-dehydrocorticosterone concentrations. Propylparaben was associated with lower levels of cortisol, cortisone, and 11-dehydrocorticosterone, while methylparaben was linked to a reduction in cortisol levels. Interestingly, associations identified for parabens were stronger for women carrying female fetuses. No associations for phenol mixture were detected. CONCLUSIONS: Our study suggests that pregnancy exposure to bisphenol S and some parabens (propyl- and methylparaben) may affect production of maternal corticosteroid hormones that are important for a successful pregnancy and fetal development. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
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| Items | – Name: Title Label: Title Group: Ti Data: Prenatal Exposure to Synthetic Phenols Assessed in Multiple Urine Samples and Dysregulation of Steroid Hormone Homeostasis in Two European Cohorts. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Jedynak%2C+Paulina%22">Jedynak, Paulina</searchLink><relatesTo>1,2,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Bustamante%2C+Mariona%22">Bustamante, Mariona</searchLink><relatesTo>2,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Rolland%2C+Matthieu%22">Rolland, Matthieu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Mustieles%2C+Vicente%22">Mustieles, Vicente</searchLink><relatesTo>4,5,6</relatesTo><br /><searchLink fieldCode="AR" term="%22Thomsen%2C+Cathrine%22">Thomsen, Cathrine</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Sakhi%2C+Amrit+K%2E%22">Sakhi, Amrit K.</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Sabaredzovic%2C+Azemira%22">Sabaredzovic, Azemira</searchLink><relatesTo>7</relatesTo><br /><searchLink fieldCode="AR" term="%22Foraster%2C+Maria%22">Foraster, Maria</searchLink><relatesTo>2,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Gascon%2C+Mireia%22">Gascon, Mireia</searchLink><relatesTo>2,3,4,8</relatesTo><br /><searchLink fieldCode="AR" term="%22Gómez-Roig%2C+Maria+Dolores%22">Gómez-Roig, Maria Dolores</searchLink><relatesTo>9,10</relatesTo><br /><searchLink fieldCode="AR" term="%22Llurba%2C+Elisa%22">Llurba, Elisa</searchLink><relatesTo>2,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Rivas%2C+Ioar%22">Rivas, Ioar</searchLink><relatesTo>2,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Ouellet-Morin%2C+Isabelle%22">Ouellet-Morin, Isabelle</searchLink><relatesTo>11</relatesTo><br /><searchLink fieldCode="AR" term="%22Bayat%2C+Sam%22">Bayat, Sam</searchLink><relatesTo>12</relatesTo><br /><searchLink fieldCode="AR" term="%22Lyon-Caen%2C+Sarah%22">Lyon-Caen, Sarah</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Pozo%2C+Oscar+J%2E%22">Pozo, Oscar J.</searchLink><relatesTo>13</relatesTo><br /><searchLink fieldCode="AR" term="%22Vrijheid%2C+Martine%22">Vrijheid, Martine</searchLink><relatesTo>2,3,4</relatesTo><br /><searchLink fieldCode="AR" term="%22Sunyer%2C+Jordi%22">Sunyer, Jordi</searchLink><relatesTo>2,3,4,14</relatesTo><br /><searchLink fieldCode="AR" term="%22Slama%2C+Rémy%22">Slama, Rémy</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Dadvand%2C+Payam%22">Dadvand, Payam</searchLink><relatesTo>2,3,4</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Health+Perspectives%22">Environmental Health Perspectives</searchLink>. May2025, Vol. 133 Issue 5, p057011-1-057011-11. 11p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Homeostasis%22">Homeostasis</searchLink><br />*<searchLink fieldCode="DE" term="%22Ketones%22">Ketones</searchLink><br />*<searchLink fieldCode="DE" term="%22Phenols%22">Phenols</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+hormones%22">Sex hormones</searchLink><br /><searchLink fieldCode="DE" term="%22Testosterone%22">Testosterone</searchLink><br /><searchLink fieldCode="DE" term="%22Prenatal+exposure+delayed+effects%22">Prenatal exposure delayed effects</searchLink><br /><searchLink fieldCode="DE" term="%22Hair+analysis%22">Hair analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Maternal-child+health+services%22">Maternal-child health services</searchLink><br /><searchLink fieldCode="DE" term="%22Sex+distribution%22">Sex distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Pregnant+women%22">Pregnant women</searchLink><br /><searchLink fieldCode="DE" term="%22Hydrocortisone%22">Hydrocortisone</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink><br /><searchLink fieldCode="DE" term="%22Triclosan%22">Triclosan</searchLink><br /><searchLink fieldCode="DE" term="%22Metabolites%22">Metabolites</searchLink><br /><searchLink fieldCode="DE" term="%22Gestational+age%22">Gestational age</searchLink><br /><searchLink fieldCode="DE" term="%22Hydroxy+acids%22">Hydroxy acids</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Pregnancy%22">Pregnancy</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Europe%22">Europe</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: BACKGROUND: Some synthetic phenols alter hormonal pathways involved in successful pregnancy and fetal development. Despite high within-subject temporal variability of phenols, previous studies mostly utilized spot urine samples to assess pregnancy exposure. Herein, we investigated associations between pregnancy exposure to eight phenols assessed in multiple pooled urine samples and steroid hormones assessed in maternal hair reflecting cumulative hormone levels over the previous weeks to months. METHODS: We assessed phenol-hormone associations in 928 pregnant women from two pooled cohorts recruited in Spain [Barcelona Life Study Cohort (BiSC), 2018-2021] and France [Assessment of Air Pollution exposure during Pregnancy and Effect on Health (SEPAGES), 2014-2017] using pools of up to 21 samples each, collected in early pregnancy (median gestational age: 18.0 wk), as well as hair collected in late pregnancy (BiSC) or at birth (SEPAGES). We measured two bisphenols, four parabens, benzophenone-3, and triclosan along with metabolites of three adrenal (∑ cortisol, ∑ cortisone, and 11-dehydrocorticosterone) and two reproductive (progesterone and testosterone) hormones. We ran adjusted linear regressions for each exposure biomarker-outcome pair and Bayesian kernel machine regression for phenols mixture. RESULTS: Bisphenol S was associated with higher cortisol and 11-dehydrocorticosterone concentrations. Propylparaben was associated with lower levels of cortisol, cortisone, and 11-dehydrocorticosterone, while methylparaben was linked to a reduction in cortisol levels. Interestingly, associations identified for parabens were stronger for women carrying female fetuses. No associations for phenol mixture were detected. CONCLUSIONS: Our study suggests that pregnancy exposure to bisphenol S and some parabens (propyl- and methylparaben) may affect production of maternal corticosteroid hormones that are important for a successful pregnancy and fetal development. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1289/EHP15117 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 057011-1 Subjects: – SubjectFull: Homeostasis Type: general – SubjectFull: Ketones Type: general – SubjectFull: Phenols Type: general – SubjectFull: Sex hormones Type: general – SubjectFull: Testosterone Type: general – SubjectFull: Prenatal exposure delayed effects Type: general – SubjectFull: Hair analysis Type: general – SubjectFull: Research funding Type: general – SubjectFull: Maternal-child health services Type: general – SubjectFull: Sex distribution Type: general – SubjectFull: Pregnant women Type: general – SubjectFull: Hydrocortisone Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Longitudinal method Type: general – SubjectFull: Triclosan Type: general – SubjectFull: Metabolites Type: general – SubjectFull: Gestational age Type: general – SubjectFull: Hydroxy acids Type: general – SubjectFull: Confidence intervals Type: general – SubjectFull: Regression analysis Type: general – SubjectFull: Pregnancy Type: general – SubjectFull: Europe Type: general Titles: – TitleFull: Prenatal Exposure to Synthetic Phenols Assessed in Multiple Urine Samples and Dysregulation of Steroid Hormone Homeostasis in Two European Cohorts. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jedynak, Paulina – PersonEntity: Name: NameFull: Bustamante, Mariona – PersonEntity: Name: NameFull: Rolland, Matthieu – PersonEntity: Name: NameFull: Mustieles, Vicente – PersonEntity: Name: NameFull: Thomsen, Cathrine – PersonEntity: Name: NameFull: Sakhi, Amrit K. – PersonEntity: Name: NameFull: Sabaredzovic, Azemira – PersonEntity: Name: NameFull: Foraster, Maria – PersonEntity: Name: NameFull: Gascon, Mireia – PersonEntity: Name: NameFull: Gómez-Roig, Maria Dolores – PersonEntity: Name: NameFull: Llurba, Elisa – PersonEntity: Name: NameFull: Rivas, Ioar – PersonEntity: Name: NameFull: Ouellet-Morin, Isabelle – PersonEntity: Name: NameFull: Bayat, Sam – PersonEntity: Name: NameFull: Lyon-Caen, Sarah – PersonEntity: Name: NameFull: Pozo, Oscar J. – PersonEntity: Name: NameFull: Vrijheid, Martine – PersonEntity: Name: NameFull: Sunyer, Jordi – PersonEntity: Name: NameFull: Slama, Rémy – PersonEntity: Name: NameFull: Dadvand, Payam IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00916765 Numbering: – Type: volume Value: 133 – Type: issue Value: 5 Titles: – TitleFull: Environmental Health Perspectives Type: main |
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