Literature DB >> 30371856

Today's Challenges to De-Risk and Predict Drug Safety in Human "Mind-the-Gap".

Richard J Weaver1, Jean-Pierre Valentin2.   

Abstract

Current gaps in drug safety sciences can result from the inability (1) to identify hazard across multiple target organs, (2) to predict and risk assess with certainty against drug safety liabilities for the major target organs, (3) to optimally manage and mitigate against drug safety liabilities, and (4) to apply principles of governance on the generation, integration, and use of experimental data. Translational safety assessment to evaluate several target-organ drug toxicities can only be partially achieved by use of current in vitro and in vivo test systems. What remains to be tackled necessitates the deployment of in vitro-human-relevant test systems to address human specific or selective forms of toxicities. Nevertheless, such models may only address in part some of the requirements in today's armament of biomedical tools essential for improving the discovery of drug candidates. Refinement of in silico tools, Target Safety Assessment and a greater understanding of mechanistic insights of toxicities might provide future opportunities to better identify drug safety liabilities. The increasing diversity of drug modalities present further challenges for nonclinical and clinical development requiring further research to develop suitable test systems and technologies. Our ability to optimally manage and mitigate safety risk will come from the greater refinement of safety margin estimates, provision and use of human-relevant safety biomarkers, and understanding of the translation from in silico, in vitro, and in vivo studies to human. An improvement of governance frameworks and standards at all levels within organizations, national, and international, can only help facilitate drug discovery and development programs.

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Year:  2019        PMID: 30371856     DOI: 10.1093/toxsci/kfy270

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  24 in total

Review 1.  Managing the challenge of drug-induced liver injury: a roadmap for the development and deployment of preclinical predictive models.

Authors:  Richard J Weaver; Eric A Blomme; Amy E Chadwick; Ian M Copple; Helga H J Gerets; Christopher E Goldring; Andre Guillouzo; Philip G Hewitt; Magnus Ingelman-Sundberg; Klaus Gjervig Jensen; Satu Juhila; Ursula Klingmüller; Gilles Labbe; Michael J Liguori; Cerys A Lovatt; Paul Morgan; Dean J Naisbitt; Raymond H H Pieters; Jan Snoeys; Bob van de Water; Dominic P Williams; B Kevin Park
Journal:  Nat Rev Drug Discov       Date:  2019-11-20       Impact factor: 84.694

2.  Machine Learning Models for Predicting Liver Toxicity.

Authors:  Jie Liu; Wenjing Guo; Sugunadevi Sakkiah; Zuowei Ji; Gokhan Yavas; Wen Zou; Minjun Chen; Weida Tong; Tucker A Patterson; Huixiao Hong
Journal:  Methods Mol Biol       Date:  2022

Review 3.  In Silico Models for Hepatotoxicity.

Authors:  Claire Ellison; Mark Hewitt; Katarzyna Przybylak
Journal:  Methods Mol Biol       Date:  2022

4.  In silico approaches in organ toxicity hazard assessment: current status and future needs in predicting liver toxicity.

Authors:  Arianna Bassan; Vinicius M Alves; Alexander Amberg; Lennart T Anger; Scott Auerbach; Lisa Beilke; Andreas Bender; Mark T D Cronin; Kevin P Cross; Jui-Hua Hsieh; Nigel Greene; Raymond Kemper; Marlene T Kim; Moiz Mumtaz; Tobias Noeske; Manuela Pavan; Julia Pletz; Daniel P Russo; Yogesh Sabnis; Markus Schaefer; David T Szabo; Jean-Pierre Valentin; Joerg Wichard; Dominic Williams; David Woolley; Craig Zwickl; Glenn J Myatt
Journal:  Comput Toxicol       Date:  2021-09-09

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

Authors:  Kevin M Crofton; Arianna Bassan; Mamta Behl; Yaroslav G Chushak; Ellen Fritsche; Jeffery M Gearhart; Mary Sue Marty; Moiz Mumtaz; Manuela Pavan; Patricia Ruiz; Magdalini Sachana; Rajamani Selvam; Timothy J Shafer; Lidiya Stavitskaya; David T Szabo; Steven T Szabo; Raymond R Tice; Dan Wilson; David Woolley; Glenn J Myatt
Journal:  Comput Toxicol       Date:  2022-03-17

6.  A Targeted Metabolomics-Based Assay Using Human Induced Pluripotent Stem Cell-Derived Cardiomyocytes Identifies Structural and Functional Cardiotoxicity Potential.

Authors:  Jessica A Palmer; Alan M Smith; Vitalina Gryshkova; Elizabeth L R Donley; Jean-Pierre Valentin; Robert E Burrier
Journal:  Toxicol Sci       Date:  2020-04-01       Impact factor: 4.849

Review 7.  Use of Zebrafish in Drug Discovery Toxicology.

Authors:  Steven Cassar; Isaac Adatto; Jennifer L Freeman; Joshua T Gamse; Iñaki Iturria; Christian Lawrence; Arantza Muriana; Randall T Peterson; Steven Van Cruchten; Leonard I Zon
Journal:  Chem Res Toxicol       Date:  2019-11-16       Impact factor: 3.739

Review 8.  A target safety assessment of the potential toxicological risks of targeting plasmepsin IX/X for the treatment of malaria.

Authors:  Jane Barber; Phumzile Sikakana; Claire Sadler; Delphine Baud; Jean-Pierre Valentin; Ruth Roberts
Journal:  Toxicol Res (Camb)       Date:  2021-02-15       Impact factor: 3.524

Review 9.  A property-response perspective on modern toxicity assessment and drug toxicity index (DTI).

Authors:  Vaibhav A Dixit; Pragati Singh
Journal:  In Silico Pharmacol       Date:  2021-05-15

10.  Differences in P-glycoprotein activity in human and rodent blood-brain barrier assessed by mechanistic modelling.

Authors:  Laurens F M Verscheijden; Jan B Koenderink; Saskia N de Wildt; Frans G M Russel
Journal:  Arch Toxicol       Date:  2021-07-15       Impact factor: 5.153

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