Mugusi Sabina, Habtewold Abiy, Ngaimisi Eliford, Amogne Wondwossen, Yimer Getnet, Minzi Omary, Makonnen Eyasu, Sudfeld Christopher, Burhenne Jürgen, Aklillu Eleni
Department of Clinical Pharmacology, School of Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, United States.
Front Pharmacol. 2020 Feb 7;11:26. doi: 10.3389/fphar.2020.00026. eCollection 2020.
Efavirenz-based combination antiretroviral-therapy (cART) is the recommended regimen during tuberculosis (TB) therapy. In a multi-national parallel prospective-cohort study, we investigated the impact of population and pharmacogenetic variations for efavirenz pharmacokinetics, auto-induction, and immunologic outcome during antituberculosis treatment. A total of 921 treatment-naïve HIV patients with (196 Ethiopians and 231 Tanzanians) or without TB co-infection (285 Ethiopians and 209 Tanzanians) were enrolled and treated with efavirenz-based cART. TB-HIV patients started rifampicin-based anti-TB therapy 4 weeks before cART. Efavirenz plasma concentrations were measured on the 4th and 16th weeks of cART. Genotyping for , , , , and was done. CD4 cells-count was measured at baseline, 12th, 24th, and 48th weeks of cART. Among HIV-only cohort, plasma efavirenz concentration and median CD4 cell count were significantly higher in Tanzanians than Ethiopians, and both genotype and population-variation were significant predictors of efavirenz plasma concentration. Within-population analyses indicated a pronounced efavirenz autoinduction in Tanzanians as reflected by a significant decrease of plasma efavirenz concentration over time (p = 0.0001), but not in Ethiopians. Among TB-HIV cohort, there were no significant between-population differences in plasma efavirenz concentrations or CD4 cell-recovery, and genotype but not population-variation was a significant predictor of efavirenz plasma exposure. In Tanzanian patients, short-term anti-TB co-treatment significantly reduced the mean plasma efavirenz concentration in genotype at week-4 (p = 0.005), but not at week-16 of cART. In Ethiopian patients, anti-TB cotreatment increased the mean plasma efavirenz concentration among carriers at week-4 (p = 0.003) and week-16 (p = 0.035) of cART. In general, long-term anti-TB co-treatment increased plasma efavirenz concentration at week 16 of cART in both Ethiopians and Tanzanians being higher in CYP2B6*6/*6 > *1/*6 > *1/*1 genotypes. In TB-HIV patients, baseline body mass index (BMI), viral load, and WHO clinical-stage but not genotype, population-variation, or efavirenz concentration were significant predictors of immunologic outcome at week-48. In summary efavirenz auto-induction, pharmacokinetics, and the immunologic outcome are influenced by population-variation, anti-TB co-medication, and genotype. genotype is a significant predictor of efavirenz plasma exposure regardless of population-variation or antituberculosis co-treatment, but population-variation is insignificant during antituberculosis treatment. genotype, population, and geographic differences need to be considered for efavirenz dosage-optimization.
基于依非韦伦的联合抗逆转录病毒疗法(cART)是结核病(TB)治疗期间的推荐方案。在一项多国平行前瞻性队列研究中,我们调查了人群和药物遗传学变异对依非韦伦药代动力学、自身诱导以及抗结核治疗期间免疫结果的影响。总共纳入了921例未接受过治疗的HIV患者,其中有(196例埃塞俄比亚人和231例坦桑尼亚人)或无(285例埃塞俄比亚人和209例坦桑尼亚人)结核合并感染,并接受基于依非韦伦的cART治疗。结核合并HIV患者在cART开始前4周开始基于利福平的抗结核治疗。在cART的第4周和第16周测量依非韦伦血浆浓度。对 、 、 、 和 进行基因分型。在cART的基线、第12周、第24周和第48周测量CD4细胞计数。在仅感染HIV的队列中,坦桑尼亚人的血浆依非韦伦浓度和CD4细胞计数中位数显著高于埃塞俄比亚人,并且 基因型和人群变异都是依非韦伦血浆浓度的显著预测因素。人群内分析表明,坦桑尼亚人存在明显的依非韦伦自身诱导,表现为血浆依非韦伦浓度随时间显著降低(p = 0.0001),而埃塞俄比亚人则无此现象。在结核合并HIV队列中,血浆依非韦伦浓度或CD4细胞恢复在人群间无显著差异,并且 基因型而非人群变异是依非韦伦血浆暴露的显著预测因素。在坦桑尼亚患者中,短期抗结核联合治疗在第4周时显著降低了 基因型患者的平均血浆依非韦伦浓度(p = 0.005),但在cART第16周时未降低。在埃塞俄比亚患者中,抗结核联合治疗在cART第4周(p = 0.003)和第16周(p = 0.035)时增加了 携带者的平均血浆依非韦伦浓度。总体而言,长期抗结核联合治疗在cART第16周时增加了埃塞俄比亚人和坦桑尼亚人的血浆依非韦伦浓度,在CYP2B6*6/*6 > *1/*6 > *1/*1基因型中更高。在结核合并HIV患者中,基线体重指数(BMI)、病毒载量和世界卫生组织临床分期而非基因型、人群变异或依非韦伦浓度是第48周免疫结果的显著预测因素。总之,依非韦伦的自身诱导、药代动力学和免疫结果受人群变异、抗结核联合用药和 基因型影响。 基因型是依非韦伦血浆暴露的显著预测因素,无论人群变异或抗结核联合治疗情况如何,但在抗结核治疗期间人群变异不显著。在进行依非韦伦剂量优化时需要考虑 基因型、人群和地理差异。