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      Effect of diurnal variation, CYP2B6 genotype and age on the pharmacokinetics of nevirapine in African children

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          Abstract

          Objectives

          To characterize the effects of CYP2B6 polymorphisms, diurnal variation and demographic factors on nevirapine pharmacokinetics in African children.

          Methods

          Non-linear mixed-effects modelling conducted in NONMEM 7.3 described nevirapine plasma concentration–time data from 414 children aged 0.3–15 years.

          Results

          Nevirapine pharmacokinetics was best described using a one-compartment disposition model with elimination through a well-stirred liver model accounting for a first-pass effect and transit-compartment absorption. Intrinsic clearance was affected by diurnal variation (characterized using a cosine function with peak amplitude 29% at 12 noon) and CYP2B6 metabolizer status [extensive metabolizer (EM) 516GG|983TT, reference; intermediate metabolizer (IM) 516GT|983TT or 516GG|983TC, 17% lower; slow metabolizer (SM) 516TT|983TT or 516GT|983TC, 50% lower; ultra-slow metabolizer (USM) 516GG|983CC, 68% lower]. Age was found to affect pre-hepatic bioavailability: 31.7% lower at birth and increasing exponentially. Median (90% CI) evening C min values in the different metabolizer groups were 5.01 (3.01–7.47), 6.55 (3.65–13.32), 11.59 (5.44–22.71) and 12.32 (12.32–27.25) mg/L, respectively. Evening C min values were <3 mg/L in 43% of EM weighing <6 kg and 26% of IM weighing <6 kg, while 73% of SM and 88% of USM in all weight-bands had evening C min values >8 mg/L. C min was not markedly affected by administration time, but was altered by unequal splitting of the daily dose.

          Conclusions

          Diurnal variation does not greatly affect nevirapine exposure. However, when daily doses cannot be split equally, the larger dose should be given in the morning. To achieve homogeneous exposures, nevirapine doses for SM and USM should be reduced by 50%, and children weighing <6 kg with EM or IM metabolizer status should receive the same dose as children weighing 6–10 kg.

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          Most cited references55

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          Implementation of a transit compartment model for describing drug absorption in pharmacokinetic studies.

          To compare the performance of the standard lag time model (LAG model) with the performance of an analytical solution of the transit compartment model (TRANSIT model) in the evaluation of four pharmacokinetic studies with four different compounds. The population pharmacokinetic analyses were performed using NONMEM on concentration-time data of glibenclamide, furosemide, amiloride, and moxonidine. In the TRANSIT model, the optimal number of transit compartments was estimated from the data. This was based on an analytical solution for the change in drug concentration arising from a series of transit compartments with the same first-order transfer rate between each compartment. Goodness-of-fit was assessed by the decrease in objective function value (OFV) and by inspection of diagnostic graphs. With the TRANSIT model, the OFV was significantly lower and the goodness-of-fit was markedly improved in the absorption phase compared with the LAG model for all drugs. The parameter estimates related to the absorption differed between the two models while the estimates of the pharmacokinetic disposition parameters were similar. Based on these results, the TRANSIT model is an attractive alternative for modeling drug absorption delay, especially when a LAG model poorly describes the drug absorption phase or is numerically unstable.
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            Intronic polymorphism in CYP3A4 affects hepatic expression and response to statin drugs.

            Cytochrome P450 3A4 (CYP3A4) metabolizes ∼50% of all clinically used drugs. Although CYP3A4 expression varies widely between individuals, the contribution of genetic factors remains uncertain. In this study, we measured allelic CYP3A4 heteronuclear RNA (hnRNA) and mRNA expression in 76 human liver samples heterozygous for at least one of eight marker SNPs and found marked allelic expression imbalance (1.6-6.3-fold) in 10/76 liver samples (13%). This was fully accounted for by an intron 6 SNP (rs35599367, C>T), which also affected mRNA expression in cell culture on minigene transfections. CYP3A4 mRNA level and enzyme activity in livers with CC genotype were 1.7- and 2.5-fold, respectively, greater than in CT and TT carriers. In 235 patients taking stable doses of atorvastatin, simvastatin, or lovastatin for lipid control, carriers of the T allele required significantly lower statin doses (0.2-0.6-fold, P=0.019) than non-T carriers for optimal lipid control. These results indicate that intron 6 SNP rs35599367 markedly affects expression of CYP3A4 and could serve as a biomarker for predicting response to CYP3A4-metabolized drugs.
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              Characterization of the in vitro biotransformation of the HIV-1 reverse transcriptase inhibitor nevirapine by human hepatic cytochromes P-450.

              Nevirapine (NVP), a non-nucleoside inhibitor of HIV-1 reverse transcriptase, is concomitantly administered to patients with a variety of medications. To assess the potential for its involvement in drug interactions, cytochrome P-450 (CYP) reaction phenotyping of NVP to its four oxidative metabolites, 2-, 3-, 8-, and 12-hydroxyNVP, was performed. The NVP metabolite formation rates by characterized human hepatic microsomes were best correlated with probe activities for either CYP3A4 (2- and 12-hydroxyNVP) or CYP2B6 (3-and 8-hydroxyNVP). In studies with cDNA-expressed human hepatic CYPs, 2- and 3-hydroxyNVP were exclusively formed by CYP3A and CYP2B6, respectively. Multiple cDNA-expressed CYPs produced 8- and 12-hydroxyNVP, although they were produced predominantly by CYP2D6 and CYP3A4, respectively. Antibody to CYP3A4 inhibited the rates of 2-, 8-, and 12-hydroxyNVP formation by human hepatic microsomes, whereas antibody to CYP2B6 inhibited the formation of 3- and 8-hydroxyNVP. Studies using the CYP3A4 inhibitors ketoconazole, troleandomycin, and erythromycin suggested a role for CYP3A4 in the formation of 2-, 8-, and 12-hydroxyNVP. These inhibitors were less effective or ineffective against the biotransformation of NVP to 3-hydroxyNVP. Quinidine very weakly inhibited only 8-hydroxyNVP formation. NVP itself was an inhibitor of only CYP3A4 at concentrations that were well above those of therapeutic relevance (K(i) = 270 microM). Collectively, these data indicate that NVP is principally metabolized by CYP3A4 and CYP2B6 and that it has little potential to be involved in inhibitory drug interactions.
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                Author and article information

                Journal
                J Antimicrob Chemother
                J. Antimicrob. Chemother
                jac
                jac
                Journal of Antimicrobial Chemotherapy
                Oxford University Press
                0305-7453
                1460-2091
                January 2017
                05 October 2016
                05 October 2016
                : 72
                : 1
                : 190-199
                Affiliations
                [1 ]Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
                [2 ]MRC Clinical Trials Unit at University College London, London, UK
                [3 ]Department of Paediatrics and Child Health, University Teaching Hospital, Lusaka, Zambia
                [4 ]Joint Clinical Research Centre, Kampala, Uganda
                [5 ]Baylor College of Medicine Bristol-Myers Squibb Children's Clinical Centre of Excellence, Kampala, Uganda/Gulu Regional Centre of Excellence, Gulu, Uganda
                [6 ]Department of Molecular and Clinical Pharmacology, University of Liverpool, Liverpool, UK
                [7 ]Department of Pharmacy, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
                Author notes
                [* ]Corresponding author. Tel: +27-21-404-7719; Fax: +27-21-448-1989; E-mail: paolo.denti@ 123456uct.ac.za
                Article
                dkw388
                10.1093/jac/dkw388
                5161049
                27707991
                508655a7-112b-4107-bb18-a5108bb23f93
                © The Author 2016. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 6 May 2016
                : 11 July 2016
                : 16 August 2016
                : 17 August 2016
                Page count
                Pages: 10
                Funding
                Funded by: European and Developing Countries Clinical Trials Partnership
                Funded by: EDCTP
                Award ID: 2004.01.H.d2.33011
                Funded by: EDCTP
                Award ID: IP.2007.33011.006
                Funded by: National Institute of Allergy and Infectious Diseases
                Funded by: National Institutes of Health
                Award ID: UM1 AI068634
                Award ID: UM1 AI068636
                Award ID: UM1 AI106701
                Award ID: U01 AI068632
                Funded by: Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
                Funded by: National Institute of Mental Health
                Award ID: AI068632
                Categories
                Original Research

                Oncology & Radiotherapy
                Oncology & Radiotherapy

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