一个毒动力学-毒动力学建模工作流程,评估输入死亡率数据的质量
Barbara Bauer1, Alexander Singer1, Zhenglei Gao2
1RIFCON, Hirschberg, Germany.
Environmental toxicology and chemistry
|October 11, 2023
概括
这项研究表明,全面的输入数据,涵盖了广泛的影响,包括多种类型的暴露,提高了对水生风险评估的毒动力学-毒动力学 (TKTD) 模型的可靠性. 更多的数据会导致更确定的模型参数和更好的预测.
科学领域:
- 环境毒理学环境毒理学
- 生态毒理学 生态毒理学
- 风险评估建模风险评估建模
背景情况:
- 毒动力学-毒动力学 (TKTD) 模型对于水生风险评估至关重要,模拟化学物质的吸收,消除和对生物体的影响.
- 降低的一般统一值生存模型 (GUTS-RED) 是一个广泛使用的TKTD框架,用于预测生存效应.
- 对输入数据对GUTS-RED校准和验证的影响缺乏系统的探索.
研究的目的:
- 系统地分析输入数据特征如何影响GUTS-RED模型的校准和验证性能.
- 评估数据数量,质量和多样性对GUTS-RED参数不确定性和预测准确性的影响.
- 在GUTS-RED应用程序中制定数据选择和工作流程优化的建议.
主要方法:
- 使用了涵盖各种物质,暴露模式和水生物种的综合数据集进行GUTS-RED分析.
- 开发了自动化软件来校准和验证GUTS-RED与59个毒性测试生存测量.
- 采用交叉验证设计,对物种-物质组合的校准和验证数据集有系统地变化.
主要成果:
- 在GUTS-RED校准中的参数不确定性在输入数据涵盖了整个效应谱 (高生存率到高死亡率) 时下降.
- 增加校准毒性研究的数量减少了参数不确定性.
- 结合来自急性,慢性,脉冲和持续暴露研究的数据,增强了GUTS-RED在验证数据集上的预测性能.
结论:
- 输入数据的质量和多样性显著影响GUTS-RED校准和验证结果.
- 提供了数据选择和工作流程的建议,以提高 GUTS-RED 在水生风险评估中的可靠性.
- 优化输入数据选择是提高像GUTS-RED这样的TKTD模型的适用性和预测能力的关键.
相关概念视频
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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.
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01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
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01:15Model Approaches for Pharmacokinetic Data: Physiological Models
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01:12Analysis of Population Pharmacokinetic Data
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01:20Pharmacokinetic Models: Overview
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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.
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01:21Mechanistic Models: Overview of Compartment Models
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Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
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