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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

116
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...
116
Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time01:02

Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time

114
When drugs are administered extravascularly, a comprehensive evaluation through noncompartmental analysis becomes imperative. This analytical approach considers various parameters that play a crucial role in understanding the pharmacokinetics of these drugs.
One of the key parameters is the mean transit time (MTT), which refers to the total duration required for drug molecules to transit through the body. MTT is determined by calculating the ratio of the area under the moment curve to the area...
114
Three-Compartment Open Model01:06

Three-Compartment Open Model

281
The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
281
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

96
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...
96
Compartment Models: Two-Compartment Model01:20

Compartment Models: Two-Compartment Model

5.7K
The two-compartment model divides the body into central and peripheral compartments to account for varying blood perfusion rates among organs and tissues, affecting drug distribution. The central compartment includes blood and highly perfused tissues with rapid drug distribution, while the peripheral compartment contains tissues with slower drug distribution. After a single IV bolus dose, the drug concentration is high in plasma and low in tissues. The drug distribution between compartments...
5.7K
One-Compartment Open Model for Extravascular Administration: Zero-Order Absorption Model01:12

One-Compartment Open Model for Extravascular Administration: Zero-Order Absorption Model

115
Extravascular administration, such as oral or intramuscular routes, is a non-invasive drug delivery method, often preferred for ease and patient compliance. A key factor here is absorption, which dictates how quickly and effectively the drug enters the bloodstream from the administration site. Absorption follows either zero-order or first-order kinetics.
Zero-order absorption maintains a steady rate irrespective of the amount of drug left to be absorbed, making it a constant process. In the...
115

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Perfusable Vascular Network with a Tissue Model in a Microfluidic Device
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在微血管网络中建模传输时间分布.

Nathaniel J Karst1, John B Geddes2

  • 1Babson College, Wellesley, 02457, MA, USA.

Journal of theoretical biology
|July 23, 2023
PubMed
概括

这项研究引入了一种新方法,用于计算红细胞 (RBC) 在微血管网络中的传输时间分布. 该方法分析了RBC流动力学,并提供了对毛细血管过渡时间异质性的见解.

科学领域:

  • 生理学 生理学 生理学
  • 生物物理学的生物物理.
  • 计算生物学 计算生物学

背景情况:

  • 红细胞 (RBC) 在微血管中的循环时间对生理功能至关重要.
  • 了解红细胞过境对于诊断和治疗各种疾病至关重要.

研究的目的:

  • 开发和验证一个计算方法来近似RBCs的传输时间分布 (TTD).
  • 在不同的微血管网络架构中分析RBC流动力学.

主要方法:

  • 开发了一种新的计算方法来近似TTD.
  • 该方法应用于三个不同的网格网络模型.
  • 分析包括标准指标,如平均毛细血管传输时间 (MCTT) 和毛细血管传输时间异质性 (CTTH),以及新的指标.

主要成果:

  • 该研究表明,不同的微血管网络类型可以呈现多个稳定状态配置.
  • 拟议的方法有效计算这些网络内的RBC的近似TTD.
  • 分析显示,不同网络结构的MCTT和CTTH存在差异.

结论:

  • 开发的方法提供了一个强大的工具,用于分析复杂的微血管网络中RBC过境动态.
关键词:
微血管网络是微血管网络.过境时间的分布.

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  • 这种方法提高了我们对RBC流动及其对生理过程的影响的理解.
  • 这些发现为诊断和管理影响微循环的条件提供了潜在的应用.