Predictive Toxicology in Drug Safety

Provides information on drug side effects and their mitigation strategy during drug discovery, as well as guidance for risk assessment and evidence-based toxicology.

Jinghai J. Xu (Edited by), Laszlo Urban (Edited by)

9780521763646, Cambridge University Press

Hardback, published 27 September 2010

404 pages, 84 b/w illus. 35 tables
25.4 x 18.4 x 2.6 cm, 1 kg

"... an in-depth reference in the field of predictive toxicology, Inclusion of useful case studies, description of experimental methods and models, graphical analysis and presentations, with ample references at the end of each chapter are useful, sometimes unique features of this book. It will be of great interest not only to academics but also o the scholars and researchers working in the field of toxicology..."
Shubhini A. Saraf, Roshan K. Sahu for Drug and Alcohol Review

According to the Institute of Medicine (IOM) and U.S. Food and Drug Administration (FDA), 'developing new scientific approaches to detecting, understanding, predicting and preventing adverse events' was a critical path to the future of drug safety. This book brings together a collection of state-of-the-art chapters, written by experts in the drug safety field. It provides information on the present knowledge of drug side effects and their mitigation strategy during drug discovery, gives guidance for risk assessment and promotes evidence-based toxicology. Each specific area of toxicology relevant for drug discovery is discussed in detail, including theory, experimental approaches and data interpretation supported by comprehensive up-to-date references. Many chapters provide fascinating case studies, which are of general interest for those who have basic science training and are interested in how chemicals interact with the human body.

Part I. Specific Areas of Predictive Toxicology: 1. The human predictive value of combined animal toxicity testing: current state and emerging approaches Harry M. Olson and Thomas S. Davies
2. Screening approaches for genetic toxicity Jiri Aubrecht
3. Cardiac safety Martin Traebert and Berengere Dumotier
4. Predicting drug-induced liver injury: safer patients or safer drugs? Jinghai James Xu
5. In vitro evaluation of metabolic drug-drug interactions Albert P. Li
6. Reliability of reactive metabolite and covalent binding assessments in prediction of idiosyncratic drug toxicity Amit S. Kalgutkar
7. Immunotoxicology of haptens and nucleic acids Jörg Vollmer
8. Predictive models for neurotoxicity assessment Lucio G. Costa, Gennaro Giordano and Marina Guizzetti
9. De-risking developmental toxicity-mediated drug attrition in the pharmaceutical industry Terence R. S. Ozolins
Part II. Integrated Approaches of Predictive Toxicology: 10. Integrated approaches to lead optimization: improving the therapeutic index Laszlo Urban, Jianling Wang, Dejan Bojanic and Susan Ward
11. Predictive toxicology approaches for oncology drugs Timothy J. Maziasz, Vivek J. Kadambi and Carl L. Alden
12. Mechanism-based toxicity studies for drug development Monicah A. Otieno and Lois D. Lehman-McKeeman
13. Fish embryos as alternative models for drug safety evaluation Stefan Scholz, Anita Büttner, Nils Klüver and Joaquin Guinea
14. The role of genetic-modified mouse models in predictive toxicology Glenn H. Cantor
15. Toxicogenomic and pathway analysis Bin Lu
16. Drug safety biomarkers David Gerhold and Frank D. Sistare
17. Application of TK/PD modeling in predicting dose-limiting toxicity Li J. Yu, Lee Silverman, Carl Alden, Guohui Liu, Shimoga Prakash and Frank Lee
18. Prediction of therapeutic index of antibody-based therapeutics: mathematical modeling approaches Kapil Mayawala and Bruce Gomes
19. Vaccine toxicology: non-clinical predictive strategies Sarah Gould and Raymond Oomen.

Subject Areas: Biomedical engineering [MQW], Pharmacy / dispensing [MQP]