Population Pharmacokinetics of Oral Gecacitinib in Healthy Subjects and Patients with Autoimmune and Inflammatory Diseases

Qingheng Meng MS, Yuansheng Zhao PhD, Wenyang Chen MS, Lingxiao Zhang MS, Ling Xu PhD, Lujin Li PhD
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Abstract

Gecacitinib is a novel, broad-spectrum Janus kinase (JAK) inhibitor being developed for the treatment of myelofibrosis, severe alopecia areata, ankylosing spondylitis, and atopic dermatitis. This study aimed to develop population pharmacokinetic (PopPK) models for gecacitinib and its metabolites ZG0244 and ZG0245 to evaluate influential factors. Data from healthy subjects and patients across nine clinical trials were pooled. PopPK models were developed using NONMEM, and covariates of interest were tested. The PopPK structure for gecacitinib was a two-compartment model with first-order absorption and linear elimination. The metabolite ZG0244 was best described by a two-compartment model with Michaelis–Menten formation and linear elimination, while for metabolite ZG0245, it was a one-compartment model with Michaelis–Menten formation and linear elimination. Statistically significant factors affecting pharmacokinetic parameters included sex, age, indication, and co-administration with a strong CYP3A inducer or inhibitor. The effects of sex, age, and strong CYP3A inducer on exposure were limited, requiring no dose adjustment. A strong CYP3A inhibitor increased exposure by approximately 1.3-fold. The median time to reach 95% of steady-state concentration was approximately 3 days for gecacitinib and ZG0244, and approximately 7 days for ZG0245. This study developed population pharmacokinetic models for gecacitinib and its metabolites, and quantified the effects of covariates.

口服盖卡西替尼在健康受试者及自身免疫性和炎症性疾病患者中的群体药代动力学
Gecacitinib是一种新型的广谱Janus激酶(JAK)抑制剂,用于治疗骨髓纤维化、严重斑秃、强直性脊柱炎和特应性皮炎。本研究旨在建立盖卡西替尼及其代谢产物ZG0244和ZG0245的群体药代动力学(PopPK)模型,评价影响因素。来自9个临床试验的健康受试者和患者的数据汇总。使用NONMEM建立PopPK模型,并对感兴趣的协变量进行检验。盖卡替尼的PopPK结构为一阶吸收和线性消除的双室模型。代谢物ZG0244为Michaelis-Menten形成和线性消除的二室模型,而代谢物ZG0245为Michaelis-Menten形成和线性消除的一室模型。影响药代动力学参数的有统计学意义的因素包括性别、年龄、适应证以及与强CYP3A诱导剂或抑制剂共同给药。性别、年龄和强CYP3A诱导剂对暴露的影响有限,不需要调整剂量。强CYP3A抑制剂使暴露增加约1.3倍。gecacitinib和ZG0244达到95%稳态浓度的中位时间约为3天,ZG0245约为7天。本研究建立了盖卡西替尼及其代谢物的群体药代动力学模型,并量化了协变量的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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