A Combined In Vitro/In Silico Approach to Identifying Off-Target Receptor Toxicity
Joseph Leedale,
Kieran J. Sharkey,
Helen E. Colley,
Áine M. Norton,
David Peeney,
Chantelle L. Mason,
Jean G. Sathish,
Craig Murdoch,
Parveen Sharma,
Steven D. Webb
Affiliations
Joseph Leedale
EPSRC Liverpool Centre for Mathematics in Healthcare, Department of Mathematical Sciences, University of Liverpool, Liverpool L69 7ZL, UK; Corresponding author
Kieran J. Sharkey
EPSRC Liverpool Centre for Mathematics in Healthcare, Department of Mathematical Sciences, University of Liverpool, Liverpool L69 7ZL, UK
Helen E. Colley
School of Clinical Dentistry, University of Sheffield, Sheffield S10 2TA, UK
Áine M. Norton
MRC Centre for Drug Safety Science, Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool L69 3GE, UK
David Peeney
MRC Centre for Drug Safety Science, Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool L69 3GE, UK
Chantelle L. Mason
Department of Applied Mathematics, Liverpool John Moores University, Liverpool L3 3AF, UK
Jean G. Sathish
MRC Centre for Drug Safety Science, Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool L69 3GE, UK; Immuno and Molecular Toxicology, Drug Safety Evaluation, Bristol-Myers Squibb, 1 Squibb Drive, New Brunswick, NJ 08903, USA
Craig Murdoch
School of Clinical Dentistry, University of Sheffield, Sheffield S10 2TA, UK
Parveen Sharma
MRC Centre for Drug Safety Science, Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool L69 3GE, UK; Corresponding author
Steven D. Webb
Department of Applied Mathematics, Liverpool John Moores University, Liverpool L3 3AF, UK
Summary: Many xenobiotics can bind to off-target receptors and cause toxicity via the dysregulation of downstream transcription factors. Identification of subsequent off-target toxicity in these chemicals has often required extensive chemical testing in animal models. An alternative, integrated in vitro/in silico approach for predicting toxic off-target functional responses is presented to refine in vitro receptor identification and reduce the burden on in vivo testing. As part of the methodology, mathematical modeling is used to mechanistically describe processes that regulate transcriptional activity following receptor-ligand binding informed by transcription factor signaling assays. Critical reactions in the signaling cascade are identified to highlight potential perturbation points in the biochemical network that can guide and optimize additional in vitro testing. A physiologically based pharmacokinetic model provides information on the timing and localization of different levels of receptor activation informing whole-body toxic potential resulting from off-target binding. : Toxicology; Computational Toxicology; Systems Biology Subject Areas: Toxicology, Computational Toxicology, Systems Biology