Literature DB >> 33895441

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

Elias Zgheib1, Min Ji Kim2, Florence Jornod1, Kévin Bernal1, Céline Tomkiewicz1, Sylvie Bortoli1, Xavier Coumoul1, Robert Barouki1, Kelly De Jesus3, Elise Grignard3, Philippe Hubert3, Efrosini S Katsanou4, Francois Busquet5, Karine Audouze6.   

Abstract

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

Entities:  

Keywords:  AOP-helpFinder; Assay validation; Bioassays; Endocrine disruptors; Guidelines; OECD; PEPPER

Year:  2021        PMID: 33895441     DOI: 10.1016/j.envint.2021.106574

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  6 in total

Review 1.  Obesity III: Obesogen assays: Limitations, strengths, and new directions.

Authors:  Christopher D Kassotis; Frederick S Vom Saal; Patrick J Babin; Dominique Lagadic-Gossmann; Helene Le Mentec; Bruce Blumberg; Nicole Mohajer; Antoine Legrand; Vesna Munic Kos; Corinne Martin-Chouly; Normand Podechard; Sophie Langouët; Charbel Touma; Robert Barouki; Min Ji Kim; Karine Audouze; Mahua Choudhury; Nitya Shree; Amita Bansal; Sarah Howard; Jerrold J Heindel
Journal:  Biochem Pharmacol       Date:  2022-04-05       Impact factor: 6.100

2.  AOP-helpFinder webserver: a tool for comprehensive analysis of the literature to support adverse outcome pathways development.

Authors:  Florence Jornod; Thomas Jaylet; Ludek Blaha; Denis Sarigiannis; Luc Tamisier; Karine Audouze
Journal:  Bioinformatics       Date:  2021-10-30       Impact factor: 6.937

3.  Regulatory Testing for Endocrine Disruptors; Need for Validated Methods and Integrated Approaches.

Authors:  Elise Grignard; Kelly de Jesus; Philippe Hubert
Journal:  Front Toxicol       Date:  2022-01-19

4.  Evidenced-Based Approaches to Support the Development of Endocrine-Mediated Adverse Outcome Pathways: Challenges and Opportunities.

Authors:  Karine Audouze; Elias Zgheib; Khaled Abass; Asma H Baig; Isabel Forner-Piquer; Henrik Holbech; Dries Knapen; Pim E G Leonards; Diana I Lupu; Saranya Palaniswamy; Arja Rautio; Maria Sapounidou; Olwenn V Martin
Journal:  Front Toxicol       Date:  2021-12-21

Review 5.  A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome.

Authors:  Annika M Schoene; Ioannis Basinas; Martie van Tongeren; Sophia Ananiadou
Journal:  Int J Environ Res Public Health       Date:  2022-07-13       Impact factor: 4.614

6.  Characterization of Potential Adverse Outcome Pathways Related to Metabolic Outcomes and Exposure to Per- and Polyfluoroalkyl Substances Using Artificial Intelligence.

Authors:  Andreas-Marius Kaiser; Maryam Zare Jeddi; Maria Uhl; Florence Jornod; Mariana F Fernandez; Karine Audouze
Journal:  Toxics       Date:  2022-08-04
  6 in total

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