Identification of non-validated endocrine disrupting chemical characterization methods by screening of the literature using artificial intelligence and by database exploration.

AOP-helpFinder Assay validation Bioassays Endocrine disruptors Guidelines OECD PEPPER

Journal

Environment international
ISSN: 1873-6750
Titre abrégé: Environ Int
Pays: Netherlands
ID NLM: 7807270

Informations de publication

Date de publication:
09 2021
Historique:
received: 18 11 2020
revised: 05 04 2021
accepted: 08 04 2021
pubmed: 26 4 2021
medline: 3 7 2021
entrez: 25 4 2021
Statut: ppublish

Résumé

Exposure to endocrine disrupting chemicals (EDCs) represents a critical public health threat. Several adverse health outcomes (e.g., cancers, metabolic and neurocognitive/neurodevelopmental disorders, infertility, immune diseases and allergies) are associated with exposure to EDCs. However, the regulatory tests that are currently employed in the EU to identify EDCs do not assess all of the endocrine pathways. Our objective was to explore the literature, guidelines and databases to identify relevant and reliable test methods which could be used for prioritization and regulatory pre-validation of EDCs in missing and urgent key areas. Abstracts of articles referenced in PubMed were automatically screened using an updated version of the AOP-helpFinder text mining approach. Other available sources were manually explored. Exclusion criteria (computational methods, specific tests for estrogen receptors, tests under validation or already validated, methods accepted by regulatory bodies) were applied according to the priorities of the French Public-privatE Platform for the Pre-validation of Endocrine disRuptors (PEPPER) characterisation methods. 226 unique non-validated methods were identified. These experimental methods (in vitro and in vivo) were developed for 30 species using diverse techniques (e.g., reporter gene assays and radioimmunoassays). We retrieved bioassays mainly for the reproductive system, growth/developmental systems, lipogenesis/adipogenicity, thyroid, steroidogenesis, liver metabolism-mediated toxicity, and more specifically for the androgen-, thyroid hormone-, glucocorticoid- and aryl hydrocarbon receptors. We identified methods to characterize EDCs which could be relevant for regulatory pre-validation and, ultimately for the efficient prevention of EDC-related severe health outcomes. This integrative approach highlights a successful and complementary strategy which combines computational and manual curation approaches.

Sections du résumé

BACKGROUND
Exposure to endocrine disrupting chemicals (EDCs) represents a critical public health threat. Several adverse health outcomes (e.g., cancers, metabolic and neurocognitive/neurodevelopmental disorders, infertility, immune diseases and allergies) are associated with exposure to EDCs. However, the regulatory tests that are currently employed in the EU to identify EDCs do not assess all of the endocrine pathways.
OBJECTIVE
Our objective was to explore the literature, guidelines and databases to identify relevant and reliable test methods which could be used for prioritization and regulatory pre-validation of EDCs in missing and urgent key areas.
METHODS
Abstracts of articles referenced in PubMed were automatically screened using an updated version of the AOP-helpFinder text mining approach. Other available sources were manually explored. Exclusion criteria (computational methods, specific tests for estrogen receptors, tests under validation or already validated, methods accepted by regulatory bodies) were applied according to the priorities of the French Public-privatE Platform for the Pre-validation of Endocrine disRuptors (PEPPER) characterisation methods.
RESULTS
226 unique non-validated methods were identified. These experimental methods (in vitro and in vivo) were developed for 30 species using diverse techniques (e.g., reporter gene assays and radioimmunoassays). We retrieved bioassays mainly for the reproductive system, growth/developmental systems, lipogenesis/adipogenicity, thyroid, steroidogenesis, liver metabolism-mediated toxicity, and more specifically for the androgen-, thyroid hormone-, glucocorticoid- and aryl hydrocarbon receptors.
CONCLUSION
We identified methods to characterize EDCs which could be relevant for regulatory pre-validation and, ultimately for the efficient prevention of EDC-related severe health outcomes. This integrative approach highlights a successful and complementary strategy which combines computational and manual curation approaches.

Identifiants

pubmed: 33895441
pii: S0160-4120(21)00199-9
doi: 10.1016/j.envint.2021.106574
pii:
doi:

Substances chimiques

Endocrine Disruptors 0
Receptors, Estrogen 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

106574

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

Elias Zgheib (E)

Université de Paris, T3S, Inserm UMR S-1124, F-75006 Paris, France.

Min Ji Kim (MJ)

Université Sorbonne Paris Nord, Bobigny, INSERM UMR-S 1124, Paris, France.

Florence Jornod (F)

Université de Paris, T3S, Inserm UMR S-1124, F-75006 Paris, France.

Kévin Bernal (K)

Université de Paris, T3S, Inserm UMR S-1124, F-75006 Paris, France.

Céline Tomkiewicz (C)

Université de Paris, T3S, Inserm UMR S-1124, F-75006 Paris, France.

Sylvie Bortoli (S)

Université de Paris, T3S, Inserm UMR S-1124, F-75006 Paris, France.

Xavier Coumoul (X)

Université de Paris, T3S, Inserm UMR S-1124, F-75006 Paris, France.

Robert Barouki (R)

Université de Paris, T3S, Inserm UMR S-1124, F-75006 Paris, France.

Kelly De Jesus (K)

PEPPER, Paris, France.

Elise Grignard (E)

PEPPER, Paris, France.

Philippe Hubert (P)

PEPPER, Paris, France.

Efrosini S Katsanou (ES)

Benaki Phytopathological Institute, Athens, Greece.

Francois Busquet (F)

Altertox, Brussels, Belgium.

Karine Audouze (K)

Université de Paris, T3S, Inserm UMR S-1124, F-75006 Paris, France. Electronic address: karine.audouze@u-paris.fr.

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Classifications MeSH