Department of Pharmaceutical Sciences and Experimental Therapeutics, College of Pharmacy, University of Iowa, 115 S Grand Ave, Iowa City, Iowa, 52242, USA.
Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA.
AAPS J. 2024 Oct 28;26(6):112. doi: 10.1208/s12248-024-00979-7.
Small-molecule drug development faces the challenge of low success rate. In this paper, we propose one potential cause that may occur in the preclinical phase and has rarely been brought up before - the neglected target-mediated low plasma exposure, and the subsequent lead compound mis-selection due to conventional pharmacokinetic criteria requiring sufficient plasma exposure and desired half-life. To evaluate the concept of target-mediate low plasma exposure, we established a minimal physiologically-based pharmacokinetic (mPBPK) model to evaluate the concentration-time profiles of a group of virtual lead series analogs in plasma and in tissues with and without pharmacological target expression. Simulation results demonstrated that the candidate with the highest target binding has the lowest plasma exposure due to target-mediated tissue retention. The traditional PK criteria, such as the requirement of sufficient plasma exposure and desired half-life, may potentially result in lead compound mis-selection by discarding the appropriate and best candidate(s). The mPBPK model was partially validated using 4 tyrosine kinase inhibitors based on our in-house PK and tissue distribution data obtained in animals. The association rate constant (K) was estimated to be 49.8 h, 31.4 h, 8.58 h, and 1.91 h for afatinib, dasatinib, gefitinib, and sorafenib, respectively. Among these four model drugs, a strong correlation was observed between their K values and AUC /AUC ratios, a metric of tissue retention. Our mPBPK modeling and simulation results indicated that the concept of target-mediated low plasma exposure should be kept in mind during the lead compound selection process.
小分子药物开发面临低成功率的挑战。在本文中,我们提出了一个可能在临床前阶段发生的潜在原因,这个原因以前很少被提及 - 被忽视的靶介导的低血浆暴露,以及随后由于传统药代动力学标准要求足够的血浆暴露和所需的半衰期而导致的先导化合物选择错误。为了评估靶介导的低血浆暴露的概念,我们建立了一个最小生理基于药代动力学(mPBPK)模型,以评估一组虚拟先导系列类似物在有和没有药理学靶表达的情况下在血浆和组织中的浓度-时间曲线。模拟结果表明,由于靶介导的组织保留,具有最高靶结合的候选物具有最低的血浆暴露。传统的 PK 标准,如对足够的血浆暴露和所需半衰期的要求,可能会通过丢弃适当和最佳的候选物来导致先导化合物选择错误。该 mPBPK 模型部分通过基于我们在动物中获得的体内 PK 和组织分布数据的 4 种酪氨酸激酶抑制剂进行了验证。阿法替尼、达沙替尼、吉非替尼和索拉非尼的结合速率常数(K)分别估计为 49.8 h、31.4 h、8.58 h 和 1.91 h。在这四种模型药物中,它们的 K 值与 AUC / AUC 比值(衡量组织保留的指标)之间存在很强的相关性。我们的 mPBPK 建模和模拟结果表明,在先导化合物选择过程中应牢记靶介导的低血浆暴露的概念。