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Chaivichacharn P, Avihingsanon A, Gatechompol S, Ubolyam S, Punyawudho B. Dose optimization with population pharmacokinetics of ritonavir-boosted lopinavir for Thai people living with HIV with and without active tuberculosis. Drug Metab Pharmacokinet 2022; 47:100478. [DOI: 10.1016/j.dmpk.2022.100478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 09/11/2022] [Accepted: 10/11/2022] [Indexed: 11/28/2022]
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Mhandire D, Lacerda M, Castel S, Mhandire K, Zhou D, Swart M, Shamu T, Smith P, Musingwini T, Wiesner L, Stray-Pedersen B, Dandara C. Effects of CYP2B6 and CYP1A2 Genetic Variation on Nevirapine Plasma Concentration and Pharmacodynamics as Measured by CD4 Cell Count in Zimbabwean HIV-Infected Patients. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2016; 19:553-62. [PMID: 26348712 DOI: 10.1089/omi.2015.0104] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
The extremely high prevalence of HIV/AIDS in sub-Saharan Africa and limitations of current antiretroviral medicines demand new tools to optimize therapy such as pharmacogenomics for person-to-person variations. African populations exhibit greater genetic diversity than other world populations, thus making it difficult to extrapolate findings from one population to another. Nevirapine, an antiretroviral medicine, displays large plasma concentration variability which adversely impacts therapeutic virological response. This study, therefore, aimed to identify sources of variability in nevirapine pharmacokinetics and pharmacodynamics, focusing on genetic variation in CYP2B6 and CYP1A2. Using a cross-sectional study design, 118 HIV-infected adult Zimbabwean patients on nevirapine-containing highly active antiretroviral therapy (HAART) were characterized for three key functional single nucleotide polymorphisms (SNPs), CYP2B6 c.516G>T (rs3745274), CYP2B6 c.983T>C (rs28399499), and CYP1A2 g.-163C>A (rs762551). We investigated whether genotypes at these loci were associated with nevirapine plasma concentration, a therapeutic biomarker, and CD4 cell count, a biomarker of disease progression. CYP2B6 and CYP1A2 were chosen as the candidate genes based on reports in literature, as well as their prominence in the metabolism of efavirenz, a drug in the same class with nevirapine. Nevirapine plasma concentration was determined using LC-MS/MS. The mean nevirapine concentration for CYP2B6 c.516T/T genotype differed significantly from that of 516G/G (p < 0.001) and 516G/T (p < 0.01) genotypes, respectively. There were also significant differences in mean nevirapine concentration between CYP2B6 c.983T > C genotypes (p = 0.04). Importantly, the CYP1A2 g.-163C>A SNP was significantly associated with the pharmacodynamics endpoint, the CD4 cell count (p = 0.012). Variant allele frequencies for the three SNPs observed in this Zimbabwean group were similar to other African population groups but different to observations among Caucasian and Asian populations. We conclude that CYP2B6 c.516G>T and CYP2B6 c.983T>C could be important sources of nevirapine pharmacokinetic variability that could be considered for dosage optimization, while CYP1A2 g.-163C>A seems to be associated with HIV disease progression. These inter- and intra-population pharmacokinetic and pharmacodynamics differences suggest that a single prescribed dosage may not be appropriate for the treatment of disease. Further research into a personalized nevirapine regimen is required.
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Affiliation(s)
- Doreen Mhandire
- 1 Department of Chemical Pathology, College of Health Sciences, University of Zimbabwe , Harare, Zimbabwe
| | - Miguel Lacerda
- 2 Department of Statistical Sciences, Faculty of Science, University of Cape Town , Cape Town, South Africa
| | - Sandra Castel
- 3 Division of Clinical Pharmacology, Department of Medicine, Faculty of Health Sciences, University of Cape Town , Cape Town, South Africa
| | - Kudakwashe Mhandire
- 1 Department of Chemical Pathology, College of Health Sciences, University of Zimbabwe , Harare, Zimbabwe
| | - Danai Zhou
- 4 Department of Medical Laboratory Sciences, College of Health Sciences, University of Zimbabwe , Harare, Zimbabwe .,7 Institute of Clinical Medicine, University of Oslo , Oslo, Norway
| | - Marelize Swart
- 5 Division of Human Genetics, Department of Clinical Laboratory Sciences and Institute for Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town , Cape Town, South Africa
| | | | - Peter Smith
- 3 Division of Clinical Pharmacology, Department of Medicine, Faculty of Health Sciences, University of Cape Town , Cape Town, South Africa
| | - Tutsirai Musingwini
- 4 Department of Medical Laboratory Sciences, College of Health Sciences, University of Zimbabwe , Harare, Zimbabwe
| | - Lubbe Wiesner
- 3 Division of Clinical Pharmacology, Department of Medicine, Faculty of Health Sciences, University of Cape Town , Cape Town, South Africa
| | | | - Collet Dandara
- 5 Division of Human Genetics, Department of Clinical Laboratory Sciences and Institute for Infectious Disease and Molecular Medicine, Faculty of Health Sciences, University of Cape Town , Cape Town, South Africa
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Population pharmacokinetics of nevirapine in Malaysian HIV patients: a non-parametric approach. Eur J Clin Pharmacol 2016; 72:831-8. [PMID: 27025609 DOI: 10.1007/s00228-016-2049-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Accepted: 03/16/2016] [Indexed: 10/22/2022]
Abstract
AIMS Nevirapine is the first non-nucleoside reverse-transcriptase inhibitor approved and is widely used in combination therapy to treat HIV-1 infection. The pharmacokinetics of nevirapine was extensively studied in various populations with a parametric approach. Hence, this study was aimed to determine population pharmacokinetic parameters in Malaysian HIV-infected patients with a non-parametric approach which allows detection of outliers or non-normal distribution contrary to the parametric approach. METHODS Nevirapine population pharmacokinetics was modelled with Pmetrics. A total of 708 observations from 112 patients were included in the model building and validation analysis. Evaluation of the model was based on a visual inspection of observed versus predicted (population and individual) concentrations and plots weighted residual error versus concentrations. Accuracy and robustness of the model were evaluated by visual predictive check (VPC). The median parameters' estimates obtained from the final model were used to predict individual nevirapine plasma area-under-curve (AUC) in the validation dataset. The Bland-Altman plot was used to compare the AUC predicted with trapezoidal AUC. RESULTS The median nevirapine clearance was of 2.92 L/h, the median rate of absorption was 2.55/h and the volume of distribution was 78.23 L. Nevirapine pharmacokinetics were best described by one-compartmental with first-order absorption model and a lag-time. Weighted residuals for the model selected were homogenously distributed over the concentration and time range. The developed model adequately estimated AUC. CONCLUSIONS In conclusion, a model to describe the pharmacokinetics of nevirapine was developed. The developed model adequately describes nevirapine population pharmacokinetics in HIV-infected patients in Malaysia.
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