观察到VEGFR-2抑制剂体内临床药代动力学参数与体外效价之间的相关性。这是否可以作为开发新化合物的前瞻性指南?

Arzneimittel-Forschung-Drug Research Pub Date : 2012-04-01 Epub Date: 2012-01-30 DOI:10.1055/s-0031-1299772
B Benjamin, M Sahu, U Bhatnagar, D Abhyankar, N R Srinivas
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引用次数: 14

摘要

各种VEGFR-2抑制剂的临床药代动力学文献数据与体外效价数据相互关联,在数据有限的情况下建立线性关系。在这项工作中,使用了一个由阿西替尼、最近丁、舒尼替尼、帕唑帕尼和索拉非尼组成的模型集。模型组化合物的体外效力与公布的未结合血浆浓度(Cmax, Cavg, Ctrough)相关。采用建立的线性回归方程(r2>0.90),利用体外效价和未结合蛋白游离分数,通过“预测集”(motesanib、telatinib、CP547632、vatalanib、vandetanib)预测Cmax、Cavg、Cmax。预测集的Cavg和Ctrough紧密匹配(报告的0.2-1.8倍),证明了这种预测在临床优化人群平均范围内跟踪目标相关调节和/或疗效信号的有用性。在相关性最小的Cmax情况下,预测值与报道值相差0.1-1.1倍。这种对适当参数的预测将提供在进行这类新型药物的临床研究时是否已施用治疗相关剂量的粗略估计。因此,如果化合物的安全性不损害这种剂量的增加,则它可能有助于将临床剂量增加到所需的水平。综上所述,所提出的模型可以前瞻性地指导给药策略,并将极大地帮助这类新化合物的开发。
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The observed correlation between in vivo clinical pharmacokinetic parameters and in vitro potency of VEGFR-2 inhibitors. Can this be used as a prospective guide for the development of novel compounds?

Literature data on the clinical pharmacokinetics of various VEGFR-2 inhibitors along with in vitro potency data were correlated and a linear relationship was established in spite of limited data set. In this work, a model set comprised of axitinib, recentin, sunitinib, pazopanib, and sorafenib were used. The in vitro potencies of the model set compounds were correlated with the published unbound plasma concentrations (Cmax, Cavg, Ctrough). The established linear regression (r2>0.90) equation was used to predict Cmax, Cavg, Ctrough of the 'prediction set' (motesanib, telatinib, CP547632, vatalanib, vandetanib) using in vitro potency and unbound protein free fraction. Cavg and Ctrough of prediction set were closely matched (0.2-1.8 fold of reported), demonstrating the usefulness of such predictions for tracking the target related modulation and/or efficacy signals within the clinically optimized population average. In case of Cmax where correlation was least anticipated, the predicted values were within 0.1-1.1 fold of those reported. Such predictions of appropriate parameters would provide rough estimates of whether or not therapeutically relevant dose(s) have been administered when clinical investigations of novel agents of this class are being performed. Therefore, it may aid in increasing clinical doses to a desired level if safety of the compound does not compromise such dose increases. In conclusion, the proposed model may prospectively guide the dosing strategies and would greatly aid the development of novel compounds in this class.

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