Population Pharmacokinetic Model of Pegbing in Healthy Subjects and Chronic Hepatitis B Patients.

IF 3 3区 医学 Q2 PHARMACOLOGY & PHARMACY
Weizhe Jian, Yalin Yin, Rong Chen, Pingyao Luo, Tianyu Wang, Jianbo Gu, Zhengfang Du, Lei Cai, Tianyu Bao, Junsheng Xue, Ruoyi He, Tianyan Zhou
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Abstract

Pegbing (peginterferon alpha-2b) is a polyethylene glycol-modified interferon α-2b injection that has demonstrated favorable efficacy and safety profiles in the treatment of chronic hepatitis B (CHB). This study aimed to develop a population pharmacokinetic (PopPK) model of Pegbing in both healthy subjects and CHB patients and to investigate the influence of covariates on its pharmacokinetic behavior. Pharmacokinetic data were obtained from a Phase I trial in healthy volunteers and a Phase II trial in CHB patients. A one-compartment model with a target-mediated drug disposition (TMDD) component incorporating IFN receptor downregulation was established to describe the pooled data from 28 healthy subjects and 39 CHB patients. Physiologically reasonable parameters were estimated, providing a good description and prediction of the model. Furthermore, the final PopPK model was externally validated using an independent dataset of 115 CHB patients. In the covariate analysis, health status (healthy v.s. CHB) was a significant covariate, affecting the Pegbing absorption rate, creatinine clearance was associated with clearance, and body weight affected the volume of distribution. Compared with healthy subjects, CHB patients exhibited a consistent area under the curve (AUC) but a higher Cmax. A PopPK model of Pegbing in both healthy volunteers and CHB patients was successfully established. Based on the model simulation, covariate-based dose adjustment is unnecessary for CHB patients with normal renal function.

Pegbing在健康人群和慢性乙型肝炎患者中的人群药代动力学模型。
聚乙二醇干扰素(peg -干扰素α-2b)是一种聚乙二醇修饰的干扰素α-2b注射剂,在治疗慢性乙型肝炎(CHB)中显示出良好的疗效和安全性。本研究旨在建立Pegbing在健康受试者和慢性乙型肝炎患者中的群体药代动力学(PopPK)模型,并探讨协变量对其药代动力学行为的影响。药代动力学数据来自健康志愿者的I期试验和慢性乙型肝炎患者的II期试验。我们建立了一个包含IFN受体下调的靶介导药物处置(TMDD)成分的单室模型来描述来自28名健康受试者和39名慢性乙型脑病患者的汇总数据。估计了生理上合理的参数,为模型提供了良好的描述和预测。此外,使用115例CHB患者的独立数据集对最终的PopPK模型进行了外部验证。在协变量分析中,健康状态(健康vs . CHB)是影响Pegbing吸收率的显著协变量,肌酐清除率与清除率相关,体重影响分布容积。与健康受试者相比,慢性乙型肝炎患者曲线下面积(AUC)一致,但Cmax较高。成功建立了健康志愿者和慢性乙型肝炎患者的Pegbing PopPK模型。根据模型模拟,对于肾功能正常的CHB患者,不需要协变量为基础的剂量调整。
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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来源期刊
CiteScore
5.00
自引率
11.40%
发文量
146
审稿时长
8 weeks
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