abacavir and Alzheimer-Disease

Pharmacogenetics (PGX) is the study of drug response as a function of an individual's DNA. PGX is often viewed as an extension of disease association genetics, and although this information may be related, it is not the study of drug response. Although medicines are used to treat diseases, the value of strategies that identify and incorporate DNA biomarkers associated with clinical efficacy, or DNA biomarkers for untoward clinical responses, can be applied directly to pharmaceutical pipelines. The growth of adverse event PGX studies involving marketed medicines generally uses relatively large numbers of affected patients, but has been productive. However, the two critical strategies for pipeline genetics must make use of fewer patients: (1) the early identification of efficacy signals so that they can be applied early in development for targeted therapies and (2) identification of safety signals that can subsequently be validated prospectively during development using the least number of patients with adverse responses. Assumptions are often made that large numbers of patients are necessary to recognize PGX hypotheses and to validate DNA biomarkers. In some ways, pipeline pharmacogenetics may be viewed as the opposite of current genome-wide scanning designs. The goal is to obtain PGX signals in as few patients as possible, and then validate PGX hypotheses for specificity and sensitivity as development trials go forward--not using hundreds of thousand of markers to detect strong linkage disequilibrium signals in thousands of patients and their controls. Drug development takes 5-7 years for a drug candidate to traverse to registration--and this is similar to the timeframe for validating genetic biomarkers using sequential clinical trials. Two important examples are discussed, the association of APOE genotypes to the demonstration of actionable efficacy signals for the use of rosiglitazone for Alzheimer's disease; and the identification of HLA-B(*)5701 as a highly sensitive and specific predictive marker for abacavir treated patients who will develop hypersensitivity syndrome (HSS). The rosiglitazone study prevented pipeline attrition by changing the interpretation of a critical Phase IIB proof of concept study (2005) from a failed study, to a positive efficacy response in a genetically predictable proportion of patients. Now, three years later, a Phase III program of clinical trials using pharmacogenetic designs is months away from completion (late08). If s

Topics: Alzheimer Disease; Apolipoprotein E4; Apolipoproteins E; Biomarkers, Pharmacological; Clinical Trials as Topic; Cost-Benefit Analysis; Dideoxynucleosides; Drug Discovery; Drug Hypersensitivity; Drug-Related Side Effects and Adverse Reactions; Genome-Wide Association Study; Genotype; HLA-B Antigens; Humans; Models, Biological; Pharmacogenetics; Rosiglitazone; Sample Size; Thiazolidinediones

This review will discuss emerging evidence for the possibility that AIDS dementia complex (ADC) has changed in the era of highly active antiretroviral therapy (HAART). The consequences of not considering these possibilities at the patient level and at the level of research are considerable. Data will be discussed that are derived from epidemiological studies, neuropsychological and positron emission tomography studies, as well as analyses from the abacavir ADC trial. These will then be assessed to develop the concept that there are now different forms of ADC: an inactive form, a chronic variety and a 'transformed' variant. Whereas the latter relates to the compounding influence of a number of other processes on ADC, such as hepatitis C, particular discussion will focus upon Alzheimer's disease and whether HIV may lead to Alzheimer-like changes. It is certainly recognized that some of the concepts discussed here are highly speculative.

Topics: Age Factors; AIDS Dementia Complex; Alzheimer Disease; Anti-HIV Agents; Antiretroviral Therapy, Highly Active; CD4 Lymphocyte Count; Chronic Disease; Cognition Disorders; Dideoxynucleosides; Humans; RNA, Viral; Severity of Illness Index