Association of Prenatal Exposure to Endocrine-Disrupting Chemicals With Liver Injury in Children.


Journal

JAMA network open
ISSN: 2574-3805
Titre abrégé: JAMA Netw Open
Pays: United States
ID NLM: 101729235

Informations de publication

Date de publication:
01 07 2022
Historique:
entrez: 6 7 2022
pubmed: 7 7 2022
medline: 9 7 2022
Statut: epublish

Résumé

Prenatal exposures to endocrine-disrupting chemicals (EDCs) may increase the risk for liver injury in children; however, human evidence is scarce, and previous studies have not considered potential EDC-mixture effects. Furthermore, the association between prenatal EDC exposure and hepatocellular apoptosis in children has not been studied previously. To investigate associations of prenatal exposure to EDC mixtures with liver injury risk and hepatocellular apoptosis in childhood. This prospective cohort study used data collected from April 1, 2003, to February 26, 2016, from mother-child pairs from the Human Early-Life Exposome project, a collaborative network of 6 ongoing, population-based prospective birth cohort studies from 6 European countries (France, Greece, Lithuania, Norway, Spain, and the UK). Data were analyzed from April 1, 2021, to January 31, 2022. Three organochlorine pesticides, 5 polychlorinated biphenyls, 2 polybrominated diphenyl ethers (PBDEs), 3 phenols, 4 parabens, 10 phthalates, 4 organophosphate pesticides, 5 perfluoroalkyl substances, and 9 metals. Child serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), γ-glutamyltransferase (GGT), and CK-18 were measured at 6 to 11 years of age. Risk for liver injury was defined as having ALT, AST, and/or GGT levels above the 90th percentile. Associations of liver injury or cytokeratin 18 (CK-18) levels with each chemical group among the 45 EDCs measured in maternal blood or urine samples collected in pregnancy were estimated using 2 complimentary exposure-mixture methods: bayesian weighted quantile sum (BWQS) and bayesian kernel machine regression. The study included 1108 mothers (mean [SD] age at birth, 31.0 [4.7] years) and their singleton children (mean [SD] age at liver assessment, 8.2 [1.6] years; 598 [54.0%] boys). Results of the BWQS method indicated increased odds of liver injury per exposure-mixture quartile increase for organochlorine pesticides (odds ratio [OR], 1.44 [95% credible interval (CrI), 1.21-1.71]), PBDEs (OR, 1.57 [95% CrI, 1.34-1.84]), perfluoroalkyl substances (OR, 1.73 [95% CrI, 1.45-2.09]), and metals (OR, 2.21 [95% CrI, 1.65-3.02]). Decreased odds of liver injury were associated with high-molecular-weight phthalates (OR, 0.74 [95% CrI, 0.60-0.91]) and phenols (OR, 0.66 [95% CrI, 0.54-0.78]). Higher CK-18 levels were associated with a 1-quartile increase in polychlorinated biphenyls (β, 5.84 [95% CrI, 1.69-10.08] IU/L) and PBDEs (β, 6.46 [95% CrI, 3.09-9.92] IU/L). Bayesian kernel machine regression showed associations in a similar direction as BWQS for all EDCs and a nonlinear association between phenols and CK-18 levels. With a combination of 2 state-of-the-art exposure-mixture approaches, consistent evidence suggests that prenatal exposures to EDCs are associated with higher risk for liver injury and CK-18 levels and constitute a potential risk factor for pediatric nonalcoholic fatty liver disease.

Identifiants

pubmed: 35793087
pii: 2793915
doi: 10.1001/jamanetworkopen.2022.20176
pmc: PMC9260485
doi:

Substances chimiques

Endocrine Disruptors 0
Environmental Pollutants 0
Fluorocarbons 0
Halogenated Diphenyl Ethers 0
Metals 0
Pesticides 0
Phenols 0
Polychlorinated Biphenyls DFC2HB4I0K

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2220176

Subventions

Organisme : NCI NIH HHS
ID : P01 CA196569
Pays : United States
Organisme : NIEHS NIH HHS
ID : R21 ES029328
Pays : United States
Organisme : NIEHS NIH HHS
ID : R21 ES029681
Pays : United States

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Auteurs

Vishal Midya (V)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York City, New York.

Elena Colicino (E)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York City, New York.

David V Conti (DV)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Kiros Berhane (K)

Department of Biostatistics, Columbia University, New York City, New York.

Erika Garcia (E)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Nikos Stratakis (N)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Sandra Andrusaityte (S)

Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.

Xavier Basagaña (X)

ISGlobal, Barcelona, Spain.
Universitat Pompeu Fabra, Barcelona, Spain.
Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Madrid, Spain.

Maribel Casas (M)

ISGlobal, Barcelona, Spain.
Universitat Pompeu Fabra, Barcelona, Spain.
Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Madrid, Spain.

Serena Fossati (S)

ISGlobal, Barcelona, Spain.
Universitat Pompeu Fabra, Barcelona, Spain.
Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Madrid, Spain.

Regina Gražuleviciene (R)

Department of Environmental Sciences, Vytautas Magnus University, Kaunas, Lithuania.

Line Småstuen Haug (LS)

Norwegian Institute of Public Health, Oslo, Norway.

Barbara Heude (B)

Université de Paris Cité, Institut National de la Santé et de la Recherche Médicale (INSERM), National Research Institute for Agriculture, Food and Environment, Centre of Research in Epidemiology and Statistics, Paris, France.

Léa Maitre (L)

ISGlobal, Barcelona, Spain.
Universitat Pompeu Fabra, Barcelona, Spain.
Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Madrid, Spain.

Rosemary McEachan (R)

Bradford Institute for Health Research, Bradford Teaching Hospitals NHS (National Health Service) Foundation Trust, Bradford, United Kingdom.

Eleni Papadopoulou (E)

Norwegian Institute of Public Health, Oslo, Norway.

Theano Roumeliotaki (T)

Department of Social Medicine, University of Crete, Heraklion, Greece.

Claire Philippat (C)

Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, Institute for Advanced Biosciences, Grenoble Alpes University, INSERM, Centre National de la Recherche Scientifique, La Tronche, France.

Cathrine Thomsen (C)

Norwegian Institute of Public Health, Oslo, Norway.

Jose Urquiza (J)

ISGlobal, Barcelona, Spain.
Universitat Pompeu Fabra, Barcelona, Spain.
Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Madrid, Spain.

Marina Vafeiadi (M)

Department of Social Medicine, University of Crete, Heraklion, Greece.

Nerea Varo (N)

Clinical Biochemistry Department, Clínica Universidad de Navarra, Pamplona, Spain.

Miriam B Vos (MB)

Department of Pediatrics, Emory University, Atlanta, Georgia.

John Wright (J)

Bradford Institute for Health Research, Bradford Teaching Hospitals NHS (National Health Service) Foundation Trust, Bradford, United Kingdom.

Rob McConnell (R)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Martine Vrijheid (M)

ISGlobal, Barcelona, Spain.
Universitat Pompeu Fabra, Barcelona, Spain.
Centro de Investigación Biomédica en Red Epidemiología y Salud Pública, Madrid, Spain.

Lida Chatzi (L)

Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles.

Damaskini Valvi (D)

Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York City, New York.

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Classifications MeSH