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A population pharmacokinetic-pharmacogenetic analysis of atazanavir

机译:阿扎那韦的群体药代动力学研究

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Atazanavir is a first-line HIV protease inhibitor commonly co-dosed with ritonavir. Ritonavir inhibits atazanavir metabolism, decreasing variability and increasing plasma concentrations. However, ritonavir use results in higher costs and increased drug-related adverse events. Elucidating atazanavir pharmacokinetics might allow for individualized ritonavir boosting. We previously demonstrated that genetically determined CYP3A5 nonexpression was associated with slower atazanavir clearance CL/F and higher trough concentrations. This effect was prominent in non-African-American men but absent in African-Americans. The present study considers additional genetic predictors of atazanavir CL/F with a focus on race differences. Nine polymorphisms in CYP3A4, ABCG2, NR1I2 (PXR), and SLCO1B1 were evaluated; 330 plasma samples from 30 HIV-negative volunteers, balanced by sex, race, and CYP3A5 expressor status, were available. Analyses were performed using nonlinear mixed-effects modeling (NONMEM). The following factors were univariately associated with atazanavir CL/F (% effect): African-American race (decreased 35%), female sex (decreased 25%), older age (decreased 1.7%/year), CYP3A5 nonexpressors (decreased 26%), ABCB1 CGC haplotype carriers (1236C/2677G/3435C) (decreased 33%), and CYP3A4*1B carriers (decreased 31%). However, an independent genetic explanation for the differential race effect could not be identified. An interaction was observed with PXR 63396 C>T and CYP3A5 expressor status (p=0.0002). CYP3A5 nonexpressors with a PXR 63396 CC genotype had 37% slower CL/F versus those with CT or TT genotypes. For CYP3A5 expressors, those with a PXR 63396 CC genotype had 63% faster CL/F versus those with CT or TT genotypes. Although this study has as its main limitation a small overall sample size, these results nonetheless provide new leads and impetus to evaluate ways to individualize the need for ritonavir boosting using demographic and genetic predictors of atazanavir pharmacokinetics.
机译:阿扎那韦是一线HIV蛋白酶抑制剂,通常与利托那韦共同给药。利托那韦抑制阿扎那韦的代谢,降低变异性并增加血浆浓度。但是,使用利托那韦会导致更高的成本并增加与药物相关的不良事件。阐明阿扎那韦的药代动力学可能会促进利托那韦的个体化。我们先前证明遗传确定的CYP3A5不表达与阿扎那韦清除率CL / F较低和谷浓度较高有关。这种影响在非裔美国男性中很明显,而在非裔美国人中则没有。本研究考虑了阿扎那韦CL / F的其他遗传预测因子,重点是种族差异。评估了CYP3A4,ABCG2,NR1I2(PXR)和SLCO1B1中的9个多态性;从30名HIV阴性志愿者中获得330份血浆样品,按性别,种族和CYP3A5表达水平进行平衡。使用非线性混合效应模型(NONMEM)进行分析。下列因素与atazanavir CL / F单因素相关(%疗效):非洲裔美国人种族(减少35%),女性(减少25%),老年(减少1.7%/年),CYP3A5非表达子(减少26%) ),ABCB1 CGC单倍型携带者(1236C / 2677G / 3435C)(减少了33%)和CYP3A4 * 1B携带者(减少了31%)。但是,无法确定差异种族效应的独立遗传解释。观察到与PXR 63396 C> T和CYP3A5表达子状态有相互作用(p = 0.0002)。具有PXR 63396 CC基因型的CYP3A5非表达子的CL / F较具有CT或TT基因型的那些慢。对于CYP3A5表达子,具有PXR 63396 CC基因型的患者的CL / F较具有CT或TT基因型的患者快63%。尽管该研究的主要局限是总体样本量小,但这些结果仍然提供了新的线索和动力,以评估使用阿扎那韦药物代谢动力学的人口统计学和遗传预测指标来个性化利托那韦强化治疗的方法。

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