Literature DB >> 11727323

Prediction of a new drug's potential to cause idiosyncratic reactions.

J Uetrecht1.   

Abstract

It is currently impossible to accurately predict which new drugs will be associated with a significant incidence of idiosyncratic drug reactions and this introduces a significant degree of uncertainty into the drug development process. In the absence of a better understanding of the mechanisms of these reactions, there are a few screening procedures that would likely reduce the probability that a new drug will be associated with idiosyncratic drug reactions. One method is to screen candidates for the formation of reactive metabolites and halt development of drugs that form significant amounts of such metabolites. However, such metabolites are not easy to screen for, and it would also eliminate many candidates that would have been safe if developed. Another risk factor may be the ability of the reactive metabolite to cause cell damage. Even though idiosyncratic reactions appear to be immune-mediated, reactive metabolites that cause cell damage will likely increase the probability of an immune response. Simply developing more potent drugs is likely to decrease the incidence of idiosyncratic drug reactions and it appears that drugs given at a dose of 10 mg/day or less, are associated with a low incidence of idiosyncratic drug reactions. Although the general use of these methods would probably lead to safer drugs, they are far from satisfactory. The use of genomics to search for patterns of change in gene expression that are associated with drugs that cause idiosyncratic reactions has the potential to lead to a more effective screen, but this is unlikely to be a simple process. Ultimately, it is likely that a much better understanding of the mechanisms involved in such reactions will be required to make real progress.

Mesh:

Year:  2001        PMID: 11727323

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  9 in total

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Journal:  ACS Med Chem Lett       Date:  2011-03-18       Impact factor: 4.345

Review 3.  Animal models of drug-induced liver injury.

Authors:  Mitchell R McGill; Hartmut Jaeschke
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2018-09-03       Impact factor: 5.187

Review 4.  Managing the challenge of chemically reactive metabolites in drug development.

Authors:  B Kevin Park; Alan Boobis; Stephen Clarke; Chris E P Goldring; David Jones; J Gerry Kenna; Craig Lambert; Hugh G Laverty; Dean J Naisbitt; Sidney Nelson; Deborah A Nicoll-Griffith; R Scott Obach; Philip Routledge; Dennis A Smith; Donald J Tweedie; Nico Vermeulen; Dominic P Williams; Ian D Wilson; Thomas A Baillie
Journal:  Nat Rev Drug Discov       Date:  2011-04       Impact factor: 84.694

5.  Stereoselective flunoxaprofen-S-acyl-glutathione thioester formation mediated by acyl-CoA formation in rat hepatocytes.

Authors:  Mark P Grillo; Jill C M Wait; Michelle Tadano Lohr; Smriti Khera; Leslie Z Benet
Journal:  Drug Metab Dispos       Date:  2010-01       Impact factor: 3.922

Review 6.  Biomarkers of drug-induced liver injury: progress and utility in research, medicine, and regulation.

Authors:  Mitchell R McGill; Hartmut Jaeschke
Journal:  Expert Rev Mol Diagn       Date:  2018-08-13       Impact factor: 5.225

Review 7.  The evolving role of drug metabolism in drug discovery and development.

Authors:  Lilian G Yengi; Louis Leung; John Kao
Journal:  Pharm Res       Date:  2007-03-01       Impact factor: 4.580

8.  Hypersensitivity reactions to non beta-lactam antimicrobial agents, a statement of the WAO special committee on drug allergy.

Authors:  Mario Sánchez-Borges; Bernard Thong; Miguel Blanca; Luis Felipe Chiaverini Ensina; Sandra González-Díaz; Paul A Greenberger; Edgardo Jares; Young-Koo Jee; Luciana Kase-Tanno; David Khan; Jung-Won Park; Werner Pichler; Antonino Romano; Maria José Torres Jaén
Journal:  World Allergy Organ J       Date:  2013-10-31       Impact factor: 4.084

9.  Eosinophilic myocarditis during treatment with olanzapine - report of two possible cases.

Authors:  Torkel Vang; Mary Rosenzweig; Christina Hedegaard Bruhn; Christoffer Polcwiartek; Jørgen Kim Kanters; Jimmi Nielsen
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  9 in total

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