• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种基于生理学的用于基于单甲基澳瑞他汀E(MMAE)的抗体药物偶联物的药代动力学模型。

A translational physiologically-based pharmacokinetic model for MMAE-based antibody-drug conjugates.

作者信息

Chang Hsuan-Ping, Shah Dhaval K

机构信息

Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, The State University of New York at Buffalo, 455 Pharmacy Building, Buffalo, NY, 14214-8033, USA.

出版信息

J Pharmacokinet Pharmacodyn. 2025 May 5;52(3):27. doi: 10.1007/s10928-025-09978-3.

DOI:10.1007/s10928-025-09978-3
PMID:40325253
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12053227/
Abstract

The objective of this work was to develop a translational physiologically-based pharmacokinetic (PBPK) model for antibody-drug conjugates (ADCs), using monomethyl auristatin E (MMAE)-based ADCs. A previously established dual-structured whole-body PBPK model for MMAE-based ADCs in mice was scaled to higher species (i.e., rats and monkeys) and humans. Species-specific physiological and drug-related parameters for the payload and antibody backbone of ADCs were obtained from literature. Parameters associated with payload release, including the deconjugation rate, were optimized using an allometric scaling approach, and antibody degradation rate was adjusted to account for the enhanced clearance of ADCs due to conjugation across different species. The translational PBPK model predicted the PK profiles for various ADC analytes in rats, monkeys, and humans reasonably well. The optimized PBPK model suggested decreased rate of deconjugation for ADCs in higher species, whereas the effects of payload conjugation on ADC clearance were more pronounced in higher species and humans. The translational PBPK model presented here may enable prediction of different ADC analyte PK at the site-of-action, offering valuable insights for the development of exposure-response relationships for ADCs. The modeling framework presented here can also serve as a platform for the development of PBPK model for other ADCs.

摘要

本研究的目的是使用基于单甲基奥瑞他汀E(MMAE)的抗体药物偶联物(ADC)开发一种转化的基于生理的药代动力学(PBPK)模型。将先前建立的小鼠中基于MMAE的ADC的双结构全身PBPK模型扩展到更高等物种(即大鼠和猴子)以及人类。从文献中获取了ADC的有效载荷和抗体骨架的物种特异性生理和药物相关参数。使用异速生长比例法优化了与有效载荷释放相关的参数,包括去共轭率,并调整了抗体降解率,以考虑不同物种间共轭导致的ADC清除率增加。转化的PBPK模型较好地预测了大鼠、猴子和人类中各种ADC分析物的药代动力学特征。优化后的PBPK模型表明,高等物种中ADC的去共轭率降低,而有效载荷共轭对ADC清除率的影响在高等物种和人类中更为显著。本文提出的转化PBPK模型可以预测作用部位不同ADC分析物的药代动力学,为ADC暴露-反应关系的发展提供有价值的见解。本文提出的建模框架还可以作为开发其他ADC的PBPK模型的平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03db/12053227/92014671b544/10928_2025_9978_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03db/12053227/3053bb811a80/10928_2025_9978_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03db/12053227/bc7ff1731c71/10928_2025_9978_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03db/12053227/ddaf38e26cb0/10928_2025_9978_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03db/12053227/e7931e6525f3/10928_2025_9978_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03db/12053227/92014671b544/10928_2025_9978_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03db/12053227/3053bb811a80/10928_2025_9978_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03db/12053227/bc7ff1731c71/10928_2025_9978_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03db/12053227/ddaf38e26cb0/10928_2025_9978_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03db/12053227/e7931e6525f3/10928_2025_9978_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03db/12053227/92014671b544/10928_2025_9978_Fig5_HTML.jpg

相似文献

1
A translational physiologically-based pharmacokinetic model for MMAE-based antibody-drug conjugates.一种基于生理学的用于基于单甲基澳瑞他汀E(MMAE)的抗体药物偶联物的药代动力学模型。
J Pharmacokinet Pharmacodyn. 2025 May 5;52(3):27. doi: 10.1007/s10928-025-09978-3.
2
Prediction of a CLDN18.2 Targeted Antibody Drug Conjugate Pharmacokinetics in Cancer Patients Using PBPK Modeling and Simulation.使用生理药代动力学(PBPK)模型和模拟预测癌症患者中CLDN18.2靶向抗体药物偶联物的药代动力学
CPT Pharmacometrics Syst Pharmacol. 2025 Jul 4. doi: 10.1002/psp4.70071.
3
Integrated strategy for biotransformation of antibody-drug conjugates and multidimensional interpretation via high-resolution mass spectrometry.抗体药物偶联物生物转化的综合策略及通过高分辨率质谱进行的多维解读
Drug Metab Dispos. 2025 Jun;53(6):100081. doi: 10.1016/j.dmd.2025.100081. Epub 2025 Apr 22.
4
Development of a Physiologically-Based Pharmacokinetic Model for Whole-Body Disposition of MMAE Containing Antibody-Drug Conjugate in Mice.开发一种包含 MMAE 的抗体药物偶联物在小鼠体内全身分布的基于生理的药代动力学模型。
Pharm Res. 2022 Jan;39(1):1-24. doi: 10.1007/s11095-021-03162-1. Epub 2022 Jan 19.
5
Development of a generalized pharmacokinetic model to characterize clinical pharmacokinetics of monomethyl auristatin E-based antibody-drug conjugates.开发一种广义药代动力学模型以描述基于单甲基澳瑞他汀 E 的抗体药物偶联物的临床药代动力学。
Br J Clin Pharmacol. 2024 Jul;90(7):1637-1655. doi: 10.1111/bcp.16057. Epub 2024 Apr 2.
6
Monomethyl auristatin E (MMAE), a payload for multiple antibody drug conjugates (ADCs), demonstrates differential red blood cell partitioning across human and animal species.单甲基奥瑞他汀E(MMAE)是多种抗体药物偶联物(ADC)的有效载荷,在人和动物物种中表现出不同的红细胞分配情况。
Xenobiotica. 2024 Aug;54(8):511-520. doi: 10.1080/00498254.2024.2345849. Epub 2024 Sep 27.
7
Physiologically based pharmacokinetic modeling as a tool to predict drug interactions for antibody-drug conjugates.基于生理学的药代动力学建模作为预测抗体药物偶联物药物相互作用的工具。
Clin Pharmacokinet. 2015 Jan;54(1):81-93. doi: 10.1007/s40262-014-0182-x.
8
Development and Translational Application of an Integrated, Mechanistic Model of Antibody-Drug Conjugate Pharmacokinetics.抗体药物偶联物药代动力学综合机制模型的开发与转化应用
AAPS J. 2017 Jan;19(1):130-140. doi: 10.1208/s12248-016-9993-z. Epub 2016 Sep 27.
9
Adverse event profiles of four monomethyl auristatin E-conjugated antibody drug conjugates: a disproportionality analysis based on the US FDA adverse event reporting system (FAERS) database.四种单甲基奥瑞他汀E偶联抗体药物偶联物的不良事件概况:基于美国食品药品监督管理局不良事件报告系统(FAERS)数据库的不成比例性分析
Expert Opin Drug Saf. 2025 Jun 27. doi: 10.1080/14740338.2025.2526790.
10
Evaluating the Potential of Cyclodextrins in Reducing Aggregation of Antibody-Drug Conjugates with Different Payloads.评估环糊精降低不同载药量抗体药物偶联物聚集的潜力。
J Pharm Sci. 2024 Aug;113(8):2443-2453. doi: 10.1016/j.xphs.2024.04.024. Epub 2024 Apr 26.

本文引用的文献

1
PK/PD Evaluation of Antibody-Drug Conjugates with Enhanced Immune Effector Functions.具有增强免疫效应功能的抗体药物偶联物的药代动力学/药效学评估
AAPS J. 2024 Dec 19;27(1):18. doi: 10.1208/s12248-024-00998-4.
2
Monomethyl auristatin E (MMAE), a payload for multiple antibody drug conjugates (ADCs), demonstrates differential red blood cell partitioning across human and animal species.单甲基奥瑞他汀E(MMAE)是多种抗体药物偶联物(ADC)的有效载荷,在人和动物物种中表现出不同的红细胞分配情况。
Xenobiotica. 2024 Aug;54(8):511-520. doi: 10.1080/00498254.2024.2345849. Epub 2024 Sep 27.
3
Antibody-drug conjugate adverse effects can be understood and addressed based on immune complex clearance mechanisms.
抗体药物偶联物的不良反应可以通过免疫复合物清除机制来理解和处理。
Blood. 2024 Jul 11;144(2):137-144. doi: 10.1182/blood.2024024442.
4
Development of a generalized pharmacokinetic model to characterize clinical pharmacokinetics of monomethyl auristatin E-based antibody-drug conjugates.开发一种广义药代动力学模型以描述基于单甲基澳瑞他汀 E 的抗体药物偶联物的临床药代动力学。
Br J Clin Pharmacol. 2024 Jul;90(7):1637-1655. doi: 10.1111/bcp.16057. Epub 2024 Apr 2.
5
Combined Treatment with Host-Directed and Anticytomegaloviral Kinase Inhibitors: Mechanisms, Synergisms and Drug Resistance Barriers.宿主导向疗法与抗巨细胞病毒激酶抑制剂联合治疗:作用机制、协同作用及耐药屏障
Pharmaceutics. 2023 Nov 27;15(12):2680. doi: 10.3390/pharmaceutics15122680.
6
Prospective approaches to gene therapy computational modeling - spotlight on viral gene therapy.基因治疗计算建模的前瞻性方法——聚焦于病毒基因治疗。
J Pharmacokinet Pharmacodyn. 2024 Oct;51(5):399-416. doi: 10.1007/s10928-023-09889-1. Epub 2023 Oct 17.
7
Physiologically based pharmacokinetic model to predict drug-drug interactions with the antibody-drug conjugate enfortumab vedotin.基于生理学的药代动力学模型预测抗体药物偶联物恩福妥滨与药物的相互作用。
J Pharmacokinet Pharmacodyn. 2024 Oct;51(5):417-428. doi: 10.1007/s10928-023-09877-5. Epub 2023 Aug 26.
8
Pharmacokinetics and Pharmacodynamics of Antibody-Drug Conjugates Administered via Subcutaneous and Intratumoral Routes.通过皮下和瘤内途径给药的抗体药物偶联物的药代动力学和药效学
Pharmaceutics. 2023 Apr 3;15(4):1132. doi: 10.3390/pharmaceutics15041132.
9
Quantitative measurement of HER2 expression to subclassify ERBB2 unamplified breast cancer.定量测量 HER2 表达以细分 ERBB2 未扩增的乳腺癌。
Lab Invest. 2022 Oct;102(10):1101-1108. doi: 10.1038/s41374-022-00804-9. Epub 2022 May 20.
10
Development of a Physiologically-Based Pharmacokinetic Model for Whole-Body Disposition of MMAE Containing Antibody-Drug Conjugate in Mice.开发一种包含 MMAE 的抗体药物偶联物在小鼠体内全身分布的基于生理的药代动力学模型。
Pharm Res. 2022 Jan;39(1):1-24. doi: 10.1007/s11095-021-03162-1. Epub 2022 Jan 19.