title: Can personalized drug therapy be achieved? A closer look at pharmaco-metabonomics.
abstract: Between 1930 and 1990, several dozen high-penetrance, predominantly monogenic disorders were identified and characterized, which led some investigators to speculate that individualized drug treatment was just around the corner. Informative DNA tests were sought to determine genetic predisposition to toxicity and cancer, thereby identifying individuals in which a drug was likely to be effective and those at increased risk of drug toxicity. These assays represent the leading edge of phenotype-genotype association studies, which are a major goal of clinical pharmacology and pharmacogenomics. Because of the complexity of the genome, however, the task is more challenging than anticipated originally. In the past decade we have come to appreciate how difficult it is to determine unequivocally either an exact phenotype or genotype. In the near future it seems unlikely that, by themselves, either transcriptomics or proteomics will be particularly helpful in achieving individualized drug therapy. However, recent advances in metabonomics are exciting and show promise. In the future, and perhaps in combination with proteomics, metabonomics might complement genomics in achieving personalized drug therapy.
authors.affiliation: Division of Human Genetics, Department of Pediatrics and Molecular Developmental Biology, Center for Environmental Genetics, University of Cincinnati Medical Center, Cincinnati, OH 45267-0056, USA. dan.nebert@uc.edu
authors.forename: Daniel W
authors.initials: DW
authors.lastname: Nebert
authors.forename: Elliot S
authors.initials: ES
authors.lastname: Vesell
mesh_terms: D015415:Biomarkers / Q000378:metabolism*; D016903:Drug Monitoring / Q000379:methods; D004358:Drug Therapy / Q000379:methods / Q000592:standards; D064420:Drug-Related Side Effects and Adverse Reactions / Q000235:genetics; D005838:Genotype; D006801:Humans; D004364:Pharmaceutical Preparations / Q000378:metabolism; D010597:Pharmacogenetics / Q000639:trends*; D010599:Pharmacokinetics; D010601:Pharmacology, Clinical / Q000639:trends; D010641:Phenotype; D011110:Polymorphism, Genetic; D040901:Proteomics; D014158:Transcription, Genetic
chemical_list: D015415:Biomarkers; D004364:Pharmaceutical Preparations