This was a feasibility study aimed at elevating protease inhibitors (PI) dosage as a part of active antiretroviral therapy (HAART). After the pharmacokinetics for the currently prescribed PI were determined,patients with a vIQ\<1 were eligible for a 50% dose increase for an 8 week time frame after which their vIQ would be reassessed to determine if increasing their PI dosage thereby increasing the bioavaiability would reduce their viral load.
Although, the use of protease inhibitors (PI) containing highly active antiretroviral therapy (HAART) has led to a remarkable improvement in the prognosis and outcome of HIV infection, only 45% to 70% of treatment-naïve patients who commence HAART achieve complete virological suppression. The emergence of HIV resistance to antiretroviral drugs is one of the main obstacles to the successful long-term suppression of HIV replication. Poor adherence and unfavorable pharmacokinetics (PK) caused by altered absorption, genetic variations in metabolism and drug-drug interactions frequently lead to antiretroviral drug concentrations below the inhibitory concentration for 50% of the viral quasispecies (IC50) and loss of viral suppression. Enzymes of the cytochrome (CYP) P450 (CYP2C19, CYP3A4, CYP3A5) family located in the liver and small intestine are responsible for the metabolism of PIs. The absence of expression of certain enzymes from this family was recently correlated with a genetic polymorphism, which may have a major role in variation of cytochrome P450-mediated drug metabolism. Results of these studies suggest significant differences in the distribution of the polymorphism associated alleles between ethnic groups, in particular between Caucasians and African Americans. Detection of cytochrome P450 variant alleles and more detailed data on their allelic frequency in various ethnic groups is critical to assess their impact on PK of antiretroviral agents, in particular PIs. This research proposal is aimed at the development of a novel multidisciplinary approach to optimize HAART in HIV infected children. It is increasingly clear that inter-individual variation in drug metabolism and responsiveness has a strong genetic component. The metabolic pathways leading to drug clearance, bio-availability, and cellular responses are complex, and only beginning to be understood. Key to our understanding of inter-individual responses is identification of the genetic polymorphisms that contribute to this variability, the relative contribution of different genes/SNPs, and the possible interactions between the corresponding protein products or pathways. We propose to develop a dosing regimen of PIs in HIV-infected children that takes into account genetic variability in drug metabolism and transport, and resistance of the dominant viral strain (as determined by virtual phenotype). In order to do so, the protocol address the following Specific Aims: * Specific Aim 1 (completed previously): Determine the prevalence of genetic variations in CYP2C19, CYP3A4, CYP3A5, and MDR-1 genes in a cohort of children and adolescents with HIV infection. * Specific Aim 2 (completed previously): Evaluate the relationship of this genetic variability to the pharmacokinetic parameters (Cmin, Cmax, AUC) and toxicity (graded by the Division of AIDS \[DAIDS\] classification) of protease inhibitors in pediatric patients with HIV infection. * Specific Aim 3 (THIS STUDY): Evaluate the impact of dose adjustment of protease inhibitors based on pharmacogenetic profile and virtual inhibitory quotient (VIQ) on clinical outcome (measured by HIV-RNA viral load and CD4+ cell count changes) and toxicity (graded by the DAIDS classification) in pediatric patients with HIV infection.
Study Type
OBSERVATIONAL
Enrollment
4
Adjust the dose by up to +50% of reccomended dosa off the drug to meet target therapeutic concentrations
Children's National Medical Center
Washington D.C., District of Columbia, United States
evaluation of vIQ
vIQ would be reassessed to determine if increasing their PI dosage thereby increasing the bioavaiability would reduce their viral load.
Time frame: 8 weeks
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