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相关概念视频

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

78
Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
78
Model Approaches for Pharmacokinetic Data: Physiological Models01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

42
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...
42
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

70
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.
70
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model 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...
69
Pharmacokinetic Models: Overview01:20

Pharmacokinetic Models: Overview

668
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...
668
Physiological Pharmacokinetic Models: Assumption with Protein Binding01:13

Physiological Pharmacokinetic Models: Assumption with Protein Binding

43
Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...
43

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相关实验视频

Updated: Jun 28, 2025

A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates
10:33

A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates

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在生理学中扩散的数学模型.

J Janáček1

  • 1Laboratory of Biomathematics, Institute of Physiology CAS, Praha 4, Czech Republic. Jiri.Janacek@fgu.cas.cz.

Physiological research
|April 22, 2024
PubMed
概括

这项研究使用微分方程模拟分子扩散,简化了各种领域的运输分析. 这些扩散模型有助于测量细胞组件的移动性和理解生物结构的发展.

科学领域:

  • 物理 物理学 物理
  • 数学 数学 是一个数学.
  • 生物学 生物学 生物学

背景情况:

  • 扩散是一种由分子运动驱动的基本质量运输过程.
  • 了解复杂系统中的扩散对于各种科学应用至关重要.
  • 与跟踪单个分子相比,微分方程为模型扩散提供了一种简化方法.

研究的目的:

  • 提出进化微分方程作为一种研究特定领域扩散的方法.
  • 在各种科学研究中强调扩散模型的多功能性.

主要方法:

  • 使用进化局部微分方程来描述局部度变化.
  • 将拉普拉斯运算符应用于各种领域 (空间,表面,图形) 上定义的函数.

主要成果:

  • 证明扩散模型可以简化对大规模运输现象的研究.
  • 展示了在细胞膜中测量受体移动性的应用.
  • 应用扩散模型来分析胚胎心脏传导通路的几何影响.

结论:

  • 进化微分方程为模拟扩散提供了一个有效的框架.
  • 扩散模型具有广泛的适用性,从生物物理学到发育生物学.

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A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates
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A Method for Determination and Simulation of Permeability and Diffusion in a 3D Tissue Model in a Membrane Insert System for Multi-well Plates

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  • 几何因素显著影响生物运输途径,正如心脏发育研究所证明的那样.