ArticleEuropean journal of clinical pharmacology2009
Influence of pharmacogenetics on indinavir disposition and short-term response in HIV patients initiating HAART.
Article in European journal of clinical pharmacology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 42 citations in OpenAlex.
- In vivo assessment of antiretroviral therapy-associated side effects.Memorias do Instituto Oswaldo Cruz · 2014Article
- Population pharmacokinetics of nefopam in elderly, with or without renal impairment, and its link to treatment response.British journal of clinical pharmacology · 2014Article
- Pharmacogenomics of antimicrobial agents.Pharmacogenomics · 2014Review
- Reduced indinavir exposure during pregnancy.British journal of clinical pharmacology · 2013Article
- Clinical pharmacokinetics of antiretroviral drugs in older persons.Expert opinion on drug metabolism & toxicology · 2013Review
- Effect of single nucleotide polymorphisms in cytochrome P450 isoenzyme and N-acetyltransferase 2 genes on the metabolism of artemisinin-based combination therapies in malaria patients from Cambodia and Tanzania.Antimicrobial agents and chemotherapy · 2013Article
- Joint population pharmacokinetic analysis of zidovudine, lamivudine, and their active intracellular metabolites in HIV patients.Antimicrobial agents and chemotherapy · 2011Article
- Human immunodeficiency virus therapeutics and pharmacogenomics.Indian journal of human genetics · 2011Article
- Analysis of pharmacogenetic traits in two distinct South African populations.Human genomics · 2011Article
- Pharmacokinetic optimization of antiretroviral therapy in children and adolescents.Clinical pharmacokinetics · 2011Review
- Influence of body weight on achieving indinavir concentrations within its therapeutic window in HIV-infected Thai patients receiving indinavir boosted with ritonavir.Therapeutic drug monitoring · 2011Article
- Bioequivalence tests based on individual estimates using non-compartmental or model-based analyses: evaluation of estimates of sample means and type I error for different designs.Pharmaceutical research · 2010Article
- Pharmacogenetics and population pharmacokinetics: impact of the design on three tests using the SAEM algorithm.Journal of pharmacokinetics and pharmacodynamics · 2009Article
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Authors and funding
10 authors at 4 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
aimsTo assess the relationship between genetic polymorphisms and indinavir pharmacokinetic variability and to study the link between concentrations and short-term response or metabolic safety.
methodsForty protease inhibitor-naive patients initiating highly active antiretroviral therapy (HAART) including indinavir/ritonavir and enrolled in the COPHAR 2-ANRS 111 trial were studied. At week 2, four blood samples were taken before and up to 6 h following drug intake. A population pharmacokinetic analysis was performed using the stochastic approximation expectation maximization (SAEM) algorithm implemented in MONOLIX software. The area under the concentration-time curve (AUC) and maximum (C(max)) and trough concentrations (C(trough)) of indinavir were derived from the population model and tested for their correlation with short-term viral response and safety measurements, while for ritonavir, these same three parameters were tested for their correlation with short-term biochemical safety
resultsA one-compartment model with first-order absorption and elimination best described both indinavir and ritonavir concentrations. For indinavir, the estimated clearance and volume of distribution were 22.2 L/h and 97.3 L, respectively. The eight patients with the *1B/*1B genotype for the CYP3A4 gene showed a 70% decrease in absorption compared to those with the *1A/*1B or *1A/*1A genotypes (0.5 vs. 2.1, P = 0.04, likelihood ratio test by permutation). The indinavir AUC and C(trough) were positively correlated with the decrease in human immunodeficiency virus RNA between week 0 and week 2 (r = 0.4, P = 0.03 and r = -0.4, P = 0.03, respectively). Patients with the *1B/*1B genotype also had a significantly lower indinavir C(max) (median 3.6, range 2.1-5.2 ng/mL) than those with the *1A/*1B or *1A/*1A genotypes (median 4.4, range 2.2-8.3 ng/mL) (P = 0.04) and a lower increase in triglycerides during the first 4 weeks of treatment (median 0.1, range -0.7 to 1.4 vs. median 0.6, range -0.5 to 1.7 mmol/L, respectively; P = 0.02). For ritonavir, the estimated clearance and volume of distribution were 8.3 L/h and 60.7 L, respectively, and concentrations were not found to be correlated to biochemical safety. Indinavir and ritonavir absorption rate constants were found to be correlated, as well as their apparent volumes of distribution and clearances, indicating correlated bioavailability of the two drugs.
conclusionThe CYP3A4*1B polymorphism was found to influence the pharmacokinetics of indinavir and, to some extent, the biochemical safety of indinavir.
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