Department of Pharmacy Practice, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Department of Infectious Diseases, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Eur J Clin Pharmacol. 2022 Oct;78(10):1535-1553. doi: 10.1007/s00228-022-03362-7. Epub 2022 Jul 19.
Significant pharmacokinetic variabilities have been reported for isoniazid across various populations. We aimed to summarize population pharmacokinetic studies of isoniazid in tuberculosis (TB) patients with a specific focus on the influence of N-acetyltransferase 2 (NAT2) genotype/single-nucleotide polymorphism (SNP) on clearance of isoniazid.
A systematic search was conducted in PubMed and Embase for articles published in the English language from inception till February 2022 to identify population pharmacokinetic (PopPK) studies of isoniazid. Studies were included if patient population had TB and received isoniazid therapy, non-linear mixed effects modelling, and parametric approach was used for building isoniazid PopPK model and NAT2 genotype/SNP was tested as a covariate for model development.
A total of 12 articles were identified from PubMed, Embase, and hand searching of articles. Isoniazid disposition was described using a two-compartment model with first-order absorption and linear elimination in most of the studies. Significant covariates influencing the pharmacokinetics of isoniazid were NAT2 genotype, body weight, lean body weight, body mass index, fat-free mass, efavirenz, formulation, CD4 cell count, and gender. Majority of studies conducted in adult TB population have reported a twofold or threefold increase in isoniazid clearance for NAT2 rapid acetylators compared to slow acetylators.
The variability in disposition of isoniazid can be majorly attributed to NAT2 genotype. This results in a trimodal clearance pattern with a multi-fold increase in clearance of NAT2 rapid acetylators compared to slow acetylators. Further studies exploring the generalizability/adaptability of developed PopPK models in different clinical settings are required.
异烟肼在不同人群中的药代动力学差异很大。本研究旨在总结结核病(TB)患者异烟肼的群体药代动力学研究,特别关注 N-乙酰基转移酶 2(NAT2)基因型/单核苷酸多态性(SNP)对异烟肼清除率的影响。
在 PubMed 和 Embase 中进行系统检索,检索自成立以来至 2022 年 2 月发表的英文文章,以确定异烟肼的群体药代动力学(PopPK)研究。如果患者人群患有结核病并接受异烟肼治疗、使用非线性混合效应模型和参数方法构建异烟肼 PopPK 模型以及测试 NAT2 基因型/SNP 作为模型开发的协变量,则纳入研究。
从 PubMed、Embase 和文章的手工检索中总共确定了 12 篇文章。在大多数研究中,异烟肼的处置采用了一个两室模型,具有一级吸收和线性消除。影响异烟肼药代动力学的重要协变量包括 NAT2 基因型、体重、瘦体重、体重指数、无脂肪质量、依非韦伦、制剂、CD4 细胞计数和性别。大多数在成人结核病人群中进行的研究报告称,与慢乙酰基化者相比,NAT2 快乙酰基化者的异烟肼清除率增加了两倍或三倍。
异烟肼处置的变异性主要归因于 NAT2 基因型。这导致清除率呈三峰模式,与慢乙酰基化者相比,NAT2 快乙酰基化者的清除率增加了多倍。需要进一步研究探索在不同临床环境中开发的 PopPK 模型的通用性/适应性。