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Current status and future directions for a neurotoxicity hazard assessment framework that integrates in silico approaches.

Authors :
Crofton KM
Bassan A
Behl M
Chushak YG
Fritsche E
Gearhart JM
Marty MS
Mumtaz M
Pavan M
Ruiz P
Sachana M
Selvam R
Shafer TJ
Stavitskaya L
Szabo DT
Szabo ST
Tice RR
Wilson D
Woolley D
Myatt GJ
Source :
Computational toxicology (Amsterdam, Netherlands) [Comput Toxicol] 2022 May; Vol. 22. Date of Electronic Publication: 2022 Mar 17.
Publication Year :
2022

Abstract

Neurotoxicology is the study of adverse effects on the structure or function of the developing or mature adult nervous system following exposure to chemical, biological, or physical agents. The development of more informative alternative methods to assess developmental (DNT) and adult (NT) neurotoxicity induced by xenobiotics is critically needed. The use of such alternative methods including in silico approaches that predict DNT or NT from chemical structure (e.g., statistical-based and expert rule-based systems) is ideally based on a comprehensive understanding of the relevant biological mechanisms. This paper discusses known mechanisms alongside the current state of the art in DNT/NT testing. In silico approaches available today that support the assessment of neurotoxicity based on knowledge of chemical structure are reviewed, and a conceptual framework for the integration of in silico methods with experimental information is presented. Establishing this framework is essential for the development of protocols, namely standardized approaches, to ensure that assessments of NT and DNT based on chemical structures are generated in a transparent, consistent, and defendable manner.<br />Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Dr. Myatt reports grants from NIH during the conduct of the study; and FDA’s Center for Drug Evaluation and Research (CDER) and Leadscope Inc. (an Instem company) are parties to a formal Research Collaboration Agreement (RCA).

Details

Language :
English
ISSN :
2468-1113
Volume :
22
Database :
MEDLINE
Journal :
Computational toxicology (Amsterdam, Netherlands)
Publication Type :
Academic Journal
Accession number :
35844258
Full Text :
https://doi.org/10.1016/j.comtox.2022.100223