Filling Data Gaps by Read-across: A Mini Review on its Application, Developments and Challenges.
Read-across is a non-testing data gap filling technique which provides information for toxicological assessments by inferring from known toxicity data of compound(s) with a "similar" property or chemical profile. The increased usage of read-across was driven by monetary, timing and ethical costs associated with in vivo testing, as well as promoted by regulatory frameworks to minimize new animal testing (e. g., EU-REACH). Several guidance documents have been published by ECHA and OECD providing guidelines on how to perform, assess and document a read-across study. In parallel, much effort was invested by the scientific community to provide good read-across practices and structured frameworks to enhance validity of read-across justifications. Nevertheless, read-across is an evolving method with several open issues and opportunities. A brief review is here provided on key developments on the use of read-across, regulatory and scientific expectations, practical hurdles and open challenges.
['Kovarich|Simona|S|', 'Ceriani|Lidia|L|', 'Fuart Gatnik|Mojca|M|', 'Bassan|Arianna|A|', 'Pavan|Manuela|M|']
D000818:Animals D016208:Databases, Factual D006801:Humans D021281:Quantitative Structure-Activity Relationship
Read-across Similarity Prediction Toxicity REACH Uncertainty