建模和模拟作为评估中枢神经系统中沃里康纳暴露的工具
Keli Jaqueline Staudt1, Bruna Bernar Dias1, Izabel Almeida Alves2
1Pharmaceutical Sciences Graduate Program, Federal University of Rio Grande do Sul-UFRGS, Porto Alegre 90610-000, Brazil.
Pharmaceutics
|July 29, 2023
概括
这项研究在老鼠中开发了沃里科纳 (VRC) 的种群药动力学模型,揭示了足够的药物暴露在脑组织和脑脊液 (CSF) 中,用于治疗真菌脑膜炎.
科学领域:
- 药理学 药理学是指药理学的学科.
- 药理动力学 药理动力学
- 传染性疾病 传染性疾病
背景情况:
- 沃里科纳 (VRC) 是一种用于加密球菌脑膜炎的三醇抗真菌药物.
- 大脑脊髓液 (CSF) 的沃里科纳水平是可变的,影响中枢神经系统 (CNS) 暴露评估.
- 了解VRC在中枢神经系统的分布对于优化治疗疗效至关重要.
研究的目的:
- 在老鼠中开发一种群体药理动力学 (popPK) 模型用于沃里可纳.
- 描述血,间歇性脑液和脑脊液中的伏利可纳暴露情况.
- 评估感染对伏利康纳的药理动力学的影响.
主要方法:
- 一个四的popPK模型被开发出来.
- 该模型描述了血,大脑间歇液体和脑脊液中的伏利可纳度.
- 感染被纳入关键药理动力学参数中的共变量.
主要成果:
- 该popPK模型描述了voriconazole在不同隔间的分布.
- 确定了关键的PK参数 (Km,Vmax,Q1,Qin,Qout).
- 模拟表明,在大脑间歇性液体和脑脊液中,沃里可纳的组织暴露 (fAUC>MIC) 足够.
结论:
- 开发的popPK模型准确地描述了小鼠中枢神经系统中沃里可纳的药理动力学.
- 沃里科纳在脑间歇液和脑脊液中达到足够的度,用于治疗真菌感染.
- 该模型有助于理解和潜在地优化中枢神经系统真菌感染的沃里可纳剂量策略.
更多相关视频
09:18Modelling Zika Virus Infection of the Developing Human Brain In Vitro Using Stem Cell Derived Cerebral Organoids
Published on: September 19, 2017
10.6K
08:23Real-Time Impedance-based Cell Analyzer as a Tool to Delineate Molecular Pathways Involved in Neurotoxicity and Neuroprotection in a Neuronal Cell Line
Published on: August 9, 2014
11.5K
相关概念视频
Pharmacokinetic Models: Overview
787
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...
787
Pharmacokinetic Models: Comparison and Selection Criterion
106
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.
106
Drug Concentration Versus Time Correlation
877
The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
877
