Ahead of the E&L conference we wanted to provide you with some insights on a recent study assessing the sensitisation potential of extractables and leachables (E&Ls). This paper, by Dr Martyn L. Chilton, was published as part of a special issue, “Computational approaches to support better human risk assessments on chemical safety”.
Dr Martyn Chilton is a Principal Scientist at Lhasa Limited, where he leads the research efforts around creating, improving, and applying in silico models to predict skin sensitisation and related toxicity endpoints. His background is in organic chemistry, having received a master’s degree and PhD from the University of Sheffield. Since joining Lhasa Limited in 2015 he has been interested in the role that computational approaches can play in the toxicological safety and risk assessment of chemicals, and he has been fortunate to be involved in several interesting projects in this field, collaborating with scientists across the pharmaceutical, cosmetic, and personal care industries. Recently he was a member of the OECD working group which helped create the guidance document on defined approaches for skin sensitisation, the first such international guidance to include in silico sensitisation models alongside in chemico and in vitro experiments.
"An in silico workflow for assessing the sensitisation potential of extractables and leachables"
CONTRIBUTORS: Martyn L. Chilton; Mukesh Patel; Antonio Anax F. de Oliveira
Overview: The study needed to assess the threshold of E&Ls to ensure patient safety as part of a toxicological risk assessment and to further research in developing new approach methodologies for dermal sensation. Through investigating whether silico toxicity models could be used to predict the hazard of E&Ls, the data suggested a newly developed approach that will influence safety procedures when E&Ls are administered.
Martyn L. Chilton et al. (2023), An in silico workflow for assessing the sensitisation potential of extractables and leachables, Computational Toxicology. Volume 27. DOI: 10.1016/j.comtox.2023.100275. Available at: https://www.sciencedirect.com/science/article/pii/S2468111323000166?dgcid=author.
