综合生理学基础的药理动力学模型与定量系统药理学和毒理学模型,用于疾病群体中的他类药物. 第二部分:MIDD和MIPD应用
Luna Prieto Garcia1,2, Pär Nordell2, Christine Ahlström2
1Department of Pharmaceutical Biosciences, Translational Drug Discovery and Development, Uppsala University, Box 591, SE-75124, Uppsala, Sweden.
The AAPS journal
|October 31, 2025
概括
精准医学通过整合基于生理学的药理动力学 (PBPK) 和定量系统药理学 (QSP) 模型来优化药物的疗效和安全性. 这种方法预测了药物相互作用和器官功能障碍的风险,增强了基于模型的药物开发 (MIDD) 和精确剂量 (MIPD).
科学领域:
- 药理学和毒理学 药理学和毒理学
- 计算生物学 计算生物学
- 药物开发 药物开发
背景情况:
- 标准药物剂量可能导致药物基因相互作用 (DGI),药物药物相互作用 (DDI) 和器官功能障碍的有效性和安全性不佳.
- 精准医学旨在根据个体患者的特征来个性化药物治疗方案,以获得更好的药物处置,疗效和安全.
- 临床试验在涵盖所有真实世界患者场景方面存在局限性.
研究的目的:
- 通过使用生理学基础的药物动力学 (PBPK) 建模,增强基于模型的药物开发 (MIDD) 和精确剂量 (MIPD).
- 整合PBPK,定量系统药理学 (QSP) 和毒理学模型,以全面预测风险.
- 在不同患者场景中同时评估药物药理动力学 (PK),药理作用和毒性.
主要方法:
- 综合PBPK,QSP和毒理学建模框架.
- 模拟包括DGI,DDI和各种功能障碍在内的情景.
- 同时评估药物PK,药理作用和毒性.
主要成果:
- 复杂情景中的预测风险,考虑到DGI,DDI和功能障碍.
- 确定药理效应和肌肉毒性风险可能与血暴露变化有所不同.
- 证明了与药理动力学一起评估疗效和安全结果的重要性.
结论:
- 集成的PBPK-QSP模型对于优化目标人群的疗效和安全平衡非常有价值.
- 这些模型通过提供机制性见解来支持先进的MIDD和MIPD策略.
- 该研究强调需要考虑超出血度的药理效应和毒性,以便有效的精确剂量.
相关概念视频
Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance
265
Drug transporters are critical in drug absorption, distribution, and excretion processes. They should be included in physiological-based pharmacokinetic (PBPK) models, which help predict human drug disposition. However, predicting this is challenging during drug development, especially when liver transport is involved. However, with a realistic representation of body transport processes, an accurate model may be possible.
A recent model describes pravastatin's hepatobiliary excretion,...
A recent model describes pravastatin's hepatobiliary excretion,...
265
Pharmacokinetic Models: Comparison and Selection Criterion
324
Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
324
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
231
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
231
Model Approaches for Pharmacokinetic Data: Physiological Models
244
Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...
244
Pharmacokinetic Models: Overview
1.8K
Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...
1.8K
Mechanistic Models: Overview of Compartment Models
349
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
349


