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利用 GastroPlus 开发的英夫利昔单抗、伊匹木单抗和纳武单抗的基于生理的药代动力学模型,用于预测肝脏浓度。

Physiologically Based Pharmacokinetic Models for Infliximab, Ipilimumab, and Nivolumab Developed with GastroPlus to Predict Hepatic Concentrations.

作者信息

Vallejo Celeste, Meaney Cameron, Clemens Lara, Yang Kyunghee, Lukacova Viera, Zhou Haiying

机构信息

Simulations Plus, Research Triangle Park, Durham, NC 27709, USA.

出版信息

Pharmaceutics. 2025 Mar 14;17(3):372. doi: 10.3390/pharmaceutics17030372.

Abstract

Infliximab, ipilimumab, and nivolumab are three monoclonal antibodies that have been associated with hepatotoxicity. Three separate physiologically based pharmacokinetic (PBPK) models were developed in GastroPlus to simulate plasma and liver concentrations in patient populations after administration of either infliximab, ipilimumab, or nivolumab. The models include distribution and clearance mechanisms specific to large molecules, FcRn binding dynamics, and target-mediated drug disposition (TNF-α for infliximab, CTLA-4 for ipilimumab, and PD-1 for nivolumab). The PBPK model for each large molecule was able to reproduce observed plasma concentration data in patient populations, including patients with rheumatoid arthritis and patients with solid tumors. Liver concentrations were predicted to be between 10% and 23% of the plasma concentrations for each of the three drugs, aligning with previously reported results. This lends further validity to the PBPK models and their ability to accurately predict hepatic concentrations in the absence of direct tissue measurements. These results can be used to drive liver toxicity predictions using the quantitative systems toxicology model, BIOLOGXsym™, which integrates hepatic interstitial concentrations with in vitro mechanistic toxicity data to predict the extent of liver toxicity for biologics.

摘要

英夫利昔单抗、伊匹木单抗和纳武单抗是三种与肝毒性相关的单克隆抗体。在GastroPlus中开发了三个独立的基于生理的药代动力学(PBPK)模型,以模拟给予英夫利昔单抗、伊匹木单抗或纳武单抗后患者群体中的血浆和肝脏浓度。这些模型包括大分子特有的分布和清除机制、FcRn结合动力学以及靶点介导的药物处置(英夫利昔单抗的TNF-α、伊匹木单抗的CTLA-4和纳武单抗的PD-1)。每个大分子的PBPK模型都能够重现患者群体(包括类风湿性关节炎患者和实体瘤患者)中观察到的血浆浓度数据。预计这三种药物各自的肝脏浓度为血浆浓度的10%至23%,与先前报道的结果一致。这进一步证明了PBPK模型的有效性及其在没有直接组织测量的情况下准确预测肝脏浓度的能力。这些结果可用于使用定量系统毒理学模型BIOLOGXsym™进行肝毒性预测,该模型将肝间质浓度与体外机制毒性数据相结合,以预测生物制剂的肝毒性程度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acc4/11945841/2614487aedff/pharmaceutics-17-00372-g001.jpg

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