气溶毒动力学:解开从空气到身体的毒理动力学的框架
Xiwen Song1, Di Wu1,2, Ling N Jin3,4
1Department of Environmental Science and Engineering, Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Fudan University, Shanghai 200433, China.
Environmental science & technology
|March 25, 2025
概括
本研究引入了一种毒动力学-毒动力学框架,通过模拟从空气到身体的成分变化来预测气溶对健康的风险. 这种方法有助于调节大气中的气溶度,以改善公共卫生管理.
科学领域:
- 环境健康 环境健康
- 毒理学 毒理学 毒理学
- 计算生物学 计算生物学
背景情况:
- 大气中的气溶对全球健康构成重大风险,但其成分的动态变化和随后因环境暴露于生物系统而产生的毒性尚未完全理解.
- 现有的气溶毒性研究往往忽视了在大气转化和生物处理过程中不断变化的化学特征和度.
研究的目的:
- 提出一个新的概念性毒动力学-毒动力学 (TKTD) 框架,以量化地将环境气溶成分与人类健康影响联系起来.
- 开发一个数学模型来推断可生物利用的气溶度,并根据这些动态预测毒理学影响.
主要方法:
- 开发一个串行TKTD建模方法来跟踪气溶成分度变化.
- 从大气中的散装度中数学推算出生物可用度.
- 使用基于生物可用度的毒动力学建模预测生物效应.
主要成果:
- 拟议的TKTD框架在数学上弥合了环境气溶度和它们对人体的相关毒性影响之间的差距.
- 该模型提供了一条从吸入角度预测健康影响的途径,与更广泛的暴露组研究联系起来.
- 展示了大气气溶度的基于风险的指导方针如何通过预测的体内有毒效应来获取信息.
结论:
- 该TKTD框架提供了一种定量方法,用于评估气溶对健康的风险,并为空气质量政策制定提供信息.
- 与量化不良结果途径的整合可以增强公共卫生管理的暴露-疾病建模.
- 该模型的进一步开发和验证对于在环境健康和环境政策中的实际应用至关重要.
相关概念视频
Toxic Reactions: Overview
920
When toxic substances penetrate the human body, they disseminate to various tissues, undergoing metabolic changes. This process yields reactive metabolites that may covalently bind with specific target molecules, resulting in toxicity.
Toxicity falls into two primary categories: local and systemic.
Local toxicity appears at the exposure site, such as protein denaturation caused by caustic substances.
In contrast, systemic toxicity requires the toxic agent's absorption and distribution,...
Toxicity falls into two primary categories: local and systemic.
Local toxicity appears at the exposure site, such as protein denaturation caused by caustic substances.
In contrast, systemic toxicity requires the toxic agent's absorption and distribution,...
920
Types of Toxins
1.6K
Humans continually engage with an environment rich in potentially harmful chemicals. These are introduced to our bodies through inhalation, ingestion, or skin contact. These chemicals exist in various forms, such as air and environmental pollutants, agricultural chemicals, organic solvents, and heavy metals.
Air pollutants, primarily gases, pose significant threats to respiratory health, leading to conditions like hypoxia, lung cancer, and in extreme cases, death.
Environmental pollutants like...
Air pollutants, primarily gases, pose significant threats to respiratory health, leading to conditions like hypoxia, lung cancer, and in extreme cases, death.
Environmental pollutants like...
1.6K
Pharmacokinetic Models: Overview
526
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...
526
Pharmacokinetic Models: Comparison and Selection Criterion
31
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.
31
Nonlinear Pharmacokinetics: Overview
230
Nonlinear or dose-dependent pharmacokinetics is a phenomenon that occurs when the pharmacokinetic parameters of certain drugs deviate from linear pharmacokinetics at higher doses. These drugs do not follow the expected first-order kinetics, where the rate of drug elimination is directly proportional to the drug concentration. Instead, they exhibit a nonlinear relationship, which can be attributed to several factors.
Nonlinearity can arise due to the saturation of plasma protein-binding or...
Nonlinearity can arise due to the saturation of plasma protein-binding or...
230
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
54
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...
54


