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《群体遗传学:一个虚拟人类群体生成器》重印版

Reprint of PopGen: A virtual human population generator.

作者信息

McNally Kevin, Cotton Richard, Hogg Alex, Loizou George

机构信息

Health & Safety Laboratory, Buxton, Derbyshire, UK.

TDL Ltd., Buxton, Derbyshire, UK.

出版信息

Toxicology. 2015 Jun 5;332:77-93. doi: 10.1016/j.tox.2015.04.014. Epub 2015 Apr 25.

Abstract

The risk assessment of environmental chemicals and drugs is moving towards a paradigm shift in approach which seeks the full replacement animal testing with high throughput, mechanistic, in vitro systems. This new vision will be reliant on the measurement in vitro, of concentration-dependent responses where prolonged excessive perturbations of specific biochemical pathways are likely to lead to adverse health effects in an intact organism. Such an approach requires a framework, into which disparate data generated using in vitro, in silico and in chemico systems, can be integrated and utilised for quantitative in vitro-to-in vivo extrapolation (QIVIVE), ultimately to the human population level. Physiologically based pharmacokinetic (PBPK) models are ideally suited for this and are obligatory in order to translate in vitro concentration-response relationships to an exposure or dose, route and duration regime in people. In this report we describe PopGen a virtual human population generator which is a user friendly, open access web-based application for the prediction of realistic anatomical, physiological and phase 1 metabolic variation in a wide range of healthy human populations. We demonstrate how PopGen can be used for QIVIVE by providing input to a PBPK model, at an appropriate level of detail, to reconstruct exposure from human biomonitoring data. We discuss how the process of exposure reconstruction from blood biomarkers, in general, is analogous to exposure or dose reconstruction from concentration-response measurements made in proposed in vitro cell based systems which are assumed to be surrogates for target organs.

摘要

环境化学品和药物的风险评估正朝着方法上的范式转变迈进,这种转变旨在用高通量、基于机制的体外系统完全取代动物试验。这一新愿景将依赖于体外测量浓度依赖性反应,其中特定生化途径的长期过度扰动可能会在完整生物体中导致不良健康影响。这种方法需要一个框架,在这个框架中,可以整合使用体外、计算机模拟和化学系统生成的不同数据,并将其用于定量体外到体内外推(QIVIVE),最终应用到人群层面。基于生理学的药代动力学(PBPK)模型非常适合于此,并且对于将体外浓度-反应关系转化为人体的暴露或剂量、途径和持续时间模式来说是必不可少的。在本报告中,我们描述了PopGen,这是一个虚拟人群生成器,它是一个用户友好的、基于网络的开放获取应用程序,用于预测广泛健康人群中现实的解剖学、生理学和1期代谢变异。我们通过以适当的详细程度向PBPK模型提供输入,展示了PopGen如何用于QIVIVE,以便从人体生物监测数据重建暴露情况。我们讨论了一般来说,从血液生物标志物重建暴露过程如何类似于从假定为靶器官替代物的体外细胞系统中进行的浓度-反应测量重建暴露或剂量。

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