Application of physiologically based toxicokinetics models in risk assessment of chemicals

毒物动力学 风险评估 基于生理学的药代动力学模型 环境科学 生化工程 计算机科学 风险分析(工程) 工程类 业务 药理学 生物 药代动力学 计算机安全
作者
Shuying Zhang,Zhongyu Wang,Jingwen Chen
出处
期刊:Kexue tongbao [Science China Press]
卷期号:62 (35): 4139-4150 被引量:3
标识
DOI:10.1360/n972017-00886
摘要

External exposure concentrations were conventionally employed used to quantify toxicological effects of chemicals in their risk assessment. However, internal concentrations are more suitable for understanding the toxicological effects and conducting risk assessment. It is necessary for accurate risk assessment of chemicals to predict the internal exposure of chemicals from the external exposure, and to know distribution of chemicals in different target tissues/organs (e.g. liver, kidney) of organisms. Experimental determination can hardly get high-throughput acquisition of target concentrations due to analytical limitations and expensive cost for in vivo animal tests. Alternatively, physiologically based toxicokinetics (PBTK) models that can quantitatively predict absorption, distribution, metabolism and excretion (ADME) processes of chemicals in biota are particularly useful. PBTK models could be used to predict the target concentrations, and to relate the environmental exposure concentrations with the target concentrations. Development of PBTK models can be divided into five steps. (1) Specify the general model structure. Portal of entry, target organ, lipophilicity and metabolism of chemicals are basic factors that should be considered. (2) Determine the set of ordinary differential equations representing the ADME processes of chemicals by the organism. All of these equations are mass balance equations. (3) Define model parameters, including physiological parameters, partition coefficients, biochemical rate constants and environment parameters. (4) Solve the ordinary differential equations with proper software. (5) Validate the model. Simulation results should be compared with corresponding experimental data to evaluate whether the model is accurate enough. Sensitivity, uncertainty and variability analysis should be performed to further optimize the model. Originating as a tool for serving pharmaceutical industry, PBTK models are now used in risk assessment of chemicals. PBTK models can also relate the in vivo toxicity thresholds with the in vitro toxicity thresholds. The in vitro-in vivo extrapolation can facilitate the utilization of the vast volume of high-throughput in vitro data. Traditional in vivo tests only focus on a limited number of the diverse species residing within an ecosystem. PBTK models can provide a promising cross-species solution by establishing physiologically relevant models for various species. Besides, classical indicators for hazard assessment such as bioconcentration factors could be re-evaluated by PBTK models with upgraded accuracy and details. Furthermore, it is possible to simulate the risk of chemicals that exerted on organisms over the entire lifetime of organisms with a sequence of PBTK models representing different developmental stages of the species. The combination of PBTK models and toxicodynamics (TD) models, i.e. PBTK/TD models, can further realize the simulation of the dynamic distribution of xenobiotics as well as the effects simultaneously. The power of PBTK models intended for ecological risk assessment of chemicals is yet to be fully exploited. Current PBTK models mainly apply to chemicals of neutral states. However, the molecular structures of many organic pollutants have carboxylic, phenolic groups, etc. Thus, these compounds can ionize under environmental pH conditions. A compound with different ionized states could possess different intake pathways. Thus, certain modifications of the mathematical form of the PBTK models are necessary. Another major obstacle is that the sophisticated parameters of PBTK models cannot be easily collected. Therefore, schemes for a high-throughput acquisition of the relevant parameters (e.g. quantitative structure-activity relationship models) would be highly useful. Furthermore, PBTK models should be extended to more species of ecological importance.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
无敌大裤衩完成签到,获得积分10
1秒前
2秒前
沟通亿心完成签到,获得积分10
3秒前
3秒前
花财完成签到 ,获得积分10
4秒前
具体问题具体分析完成签到,获得积分10
5秒前
7秒前
无花果的应助被东北三省采纳,获得10
8秒前
cryjslong完成签到,获得积分10
13秒前
vulgar发布了新的文献求助30
14秒前
15秒前
15秒前
留的白完成签到,获得积分10
15秒前
Zjnt发布了新的文献求助10
15秒前
17秒前
17秒前
烟花的应助被vulgar采纳,获得10
17秒前
我是老大的应助被vulgar采纳,获得10
17秒前
bkagyin的应助被man采纳,获得10
19秒前
东北三省发布了新的文献求助10
19秒前
Nole的应助被辛勤含羞草采纳,获得10
20秒前
星星的应助被辛勤含羞草采纳,获得10
20秒前
Owen的应助被哔哩卟噜采纳,获得10
20秒前
天热发布了新的文献求助10
21秒前
hjygzv发布了新的文献求助10
22秒前
Tink完成签到,获得积分0
22秒前
23秒前
24秒前
25秒前
25秒前
romarola发布了新的文献求助10
28秒前
gggoblin完成签到,获得积分10
29秒前
HYY发布了新的文献求助10
31秒前
小草没发布了新的文献求助30
31秒前
38秒前
39秒前
想要吉姆尼完成签到,获得积分10
39秒前
40秒前
思源的应助被Cheffe采纳,获得50
41秒前
43秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
A Will for the Machine: Computerization, Automation, and the Arts in South Africa 400
Decentring Leadership 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7808621
求助须知:如何正确求助?哪些是违规求助? 9341087
关于积分的说明 20504836
捐赠科研通 7400988
什么是DOI,文献DOI怎么找? 3328959
关于科研通互助平台的介绍 2475605
邀请新用户注册赠送积分活动 2347346