Suppr超能文献

开发一种有限采样策略,用于估算考虑到韩国结核病患者 N-乙酰转移酶 2 基因型的异烟肼暴露情况。

Development of a limited sampling strategy for the estimation of isoniazid exposure considering N-acetyltransferase 2 genotypes in Korean patients with tuberculosis.

机构信息

Department of Pharmacy, College of Pharmacy, Seoul National University, Seoul, South Korea; Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, South Korea.

Janssen Korea Ltd., Seoul, South Korea.

出版信息

Tuberculosis (Edinb). 2021 Mar;127:102052. doi: 10.1016/j.tube.2021.102052. Epub 2021 Jan 21.

Abstract

A limited sampling strategy (LSS) to estimate the exposure to isoniazid was developed considering N-acetyltransferase 2 (NAT2) genotypes in Korean patients with tuberculosis. The influence of the genotypes on the pharmacokinetics of isoniazid was also evaluated. A total of 33 participants participated in the study and received isoniazid 300 mg once daily. Evaluable participants consist of ten slow (SA), fourteen intermediate (IA) and six rapid acetylators (RA). As expected, isoniazid exposure was higher (mean AUC, 28.4 versus 7.6 mgh/L) and systemic clearance lower (mean apparent clearance, 14.8 versus 50.6 L/h) in SAs than RAs. The formulas to estimate isoniazid exposure were constructed using one or more concentration-time points that correlate with the area under the concentration-time curve (AUC). The LSS using a formula of single concentration-time point at 4 h post dose (C) is applicable for all acetylators to the therapeutic drug monitoring (TDM) of isoniazid in patients with tuberculosis when evaluated using the Deming regression and Bland-Altman plot (AUC = 1.53 + 10.03C, adjusted r = 0.95, p < 0.001). Considering that SAs are more prone to adverse effects, pre-dose NAT2 genotyping would be valuable for optimal isoniazid dosing in conjunction with TDM.

摘要

本研究旨在评估 N-乙酰转移酶 2(NAT2)基因型对异烟肼药代动力学的影响,建立了一种用于估计结核患者异烟肼暴露量的有限采样策略(LSS)。共 33 名参与者接受异烟肼 300mg 每日一次治疗。可评估的参与者包括 10 名慢乙酰化者(SA)、14 名中间乙酰化者(IA)和 6 名快乙酰化者(RA)。与 RA 相比,SA 的异烟肼暴露量更高(AUC 的均值为 28.4 与 7.6mg·h/L),全身清除率更低(表观清除率的均值为 14.8 与 50.6L/h)。使用与 AUC 相关的一个或多个浓度-时间点来构建估计异烟肼暴露量的公式。当使用 Deming 回归和 Bland-Altman 图进行评估时,基于单次给药后 4 小时浓度(C)的 LSS 公式适用于所有乙酰化者,可用于结核患者异烟肼的治疗药物监测(TDM)(AUC=1.53+10.03*C,调整 r=0.95,p<0.001)。考虑到 SA 更易发生不良反应,在进行 TDM 之前进行 NAT2 基因分型,对于异烟肼的最佳剂量调整可能具有重要价值。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验