基于模型的伊索尼亚齐德精确剂量:参数人群药理动力学模型库
Gehang Ju1,2,3, Xin Liu1,2,3, Wenyu Yang4
1Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, People's Republic of China.
Drug design, development and therapy
|March 19, 2024
概括
异化 (INH) 的药理动力学受到人体体重和NAT2乙化剂状态的影响. 一个新的群体药理动力学 (popPK) 模型存储库有助于精确剂量用于结核病治疗.
科学领域:
- 药理动力学和药理动力学
- 结核病的治疗方法
- 药物基因组学 药物基因组学
背景情况:
- 伊索尼亚 (INH) 是一种具有可变药理动力学 (PK) 的重要一线抗结核病 (TB) 药物.
- 影响INH PK的因素需要全面了解才能有效的临床应用.
- 建立一个人口药理动力学 (popPK) 模型存储库可以标准化和改进INH剂量策略.
研究的目的:
- 创建一个全面的群体药理动力学 (popPK) 模型存储库,用于异化 (INH).
- 整合和分析现有的INH popPK数据,以确定关键影响因素.
- 为了促进INH在临床实践中以模型为基础的精确剂量.
主要方法:
- 在主要数据库 (PubMed,Embase,Web of Science) 进行了系统的文献搜索,直到2022年8月.
- 包括的研究提供了完整的模型参数;非参数方法和不完整的数据研究被排除在外.
- 使用R建立了种群药动力学模型,在RxODE中执行蒙特卡洛模拟,并在IQnca.ca中进行非分区分析.
主要成果:
- 包括成年人,儿科和孕妇在内的14项研究被纳入了INH popPK库.
- 具有全米缩放的两部分模型是常见的;NAT2乙化剂表型和月经后年龄 (PMA) 显著影响了INH清除.
- 模拟表明孕妇和具有特定NAT2表型的患者的INH暴露减少,突出显示了潜在的剂量调整.
结论:
- 体重和NAT2乙化剂表型是INH暴露的关键决定因素.
- 月经后年龄 (PMA) 是优化儿科患者INH剂量的关键因素.
- 开发的INH popPK模型库支持精确剂量,旨在提高结核病治疗效率和患者的治疗结果.
相关概念视频
01:12Analysis of Population Pharmacokinetic Data
254
Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
254
01:06Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
69
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...
69
01:26Pharmacokinetic Models: Comparison and Selection Criterion
71
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.
71
01:19One-Compartment Open Model for IV Bolus Administration: General Considerations
198
The one-compartment model is a pharmacokinetic tool that models the body as a single, uniform compartment, facilitating the understanding of drug distribution and elimination. This model is particularly beneficial for intravenous (IV) bolus administration, where the drug rapidly circulates throughout the body.
The drug's presence in the body is defined by an equation representing the difference between the rates of drug entry and exit. Key parameters—elimination rate constant,...
The drug's presence in the body is defined by an equation representing the difference between the rates of drug entry and exit. Key parameters—elimination rate constant,...
198
01:14Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches
127
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
127
00:59Model-Independent Approaches for Pharmacokinetic Data: Noncompartmental Analysis
62
Noncompartmental analyses offer an alternative method for describing drug pharmacokinetics without relying on a specific compartmental model. In this approach, the drug's pharmacokinetics are assumed to be linear, with the terminal phase log-linear. This assumption allows for simplified analysis and interpretation of the drug's behavior in the body.
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
One important characteristic of noncompartmental analyses is that drug exposure increases proportionally with increasing doses. This...
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