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首页> 外文期刊>Theoretical Biology and Medical Modelling >A physiologically-based flow network model for hepatic drug elimination III: 2D/3D DLA lobule models
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A physiologically-based flow network model for hepatic drug elimination III: 2D/3D DLA lobule models

机译:基于生理的肝药物清除流网络模型III:2D / 3D DLA小叶模型

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Background One of the major issues in current pharmaceutical development is potential hepatotoxicity and drug-induced liver damage. This is due to the unique metabolic processes performed in the liver to prevent accumulation of a wide range of chemicals in the blood. Recently, we developed a physiologically-based lattice model to address the transport and metabolism of drugs in the liver lobule (liver functional unit). Method In this paper, we extend our idealized model to consider structural and spatial variability in two and three dimensions. We introduce a hexagonal-based model with one input (portal vein) and six outputs (hepatic veins) to represent a typical liver lobule. To capture even more realistic structures, we implement a novel sequential diffusion-limited aggregation (DLA) method to construct a morphological sinusoid network in the lobule. A 3D model constructed with stacks of multiple 2D sinusoid realizations is explored to study the effects of 3D structural variations. The role of liver zonation on drug metabolism in the lobule is also addressed, based on flow-based predicted steady-state O2 profiles used as a zonation indicator. Results With this model, we analyze predicted drug concentration levels observed exiting the lobule with their detailed distribution inside the lobule, and compare with our earlier idealized models. In 2D, due to randomness of the sinusoidal structure, individual hepatic veins respond differently (i.e. at different times) to injected drug. In 3D, however, the variation of response to the injected drug is observed to be less extreme. Also, the production curves show more diffusive behavior in 3D than in 2D. Conclusion Although, the individual producing ports respond differently, the average lobule production summed over all hepatic veins is more diffuse. Thus the net effect of all these variations makes the overall response smoother. We also show that, in 3D, the effect of zonation on drug production characteristics appears quite small. Our new biophysical structural analysis of a physiologically-based 3D lobule can therefore form the basis for a quantitative assessment of liver function and performance both in health and disease
机译:背景技术当前药物开发中的主要问题之一是潜在的肝毒性和药物诱导的肝损伤。这是由于在肝脏中执行了独特的代谢过程,以防止血液中多种化学物质的积累。最近,我们开发了一种基于生理的晶格模型来解决药物在肝小叶(肝功能单元)中的转运和代谢。方法在本文中,我们扩展了理想化模型,以考虑二维和三维的结构和空间变异性。我们引入一个基于六边形的模型,该模型具有一个输入(门静脉)和六个输出(肝静脉),以代表典型的肝小叶。为了捕获更现实的结构,我们实现了一种新颖的顺序扩散限制聚集(DLA)方法,以在小叶中构建形态正弦网络。探索了由多个2D正弦波实现的堆栈构造的3D模型,以研究3D结构变化的影响。还基于基于流量的预测稳态O 2 配置文件作为分区指标,探讨了肝分区在小叶中药物代谢中的作用。结果使用该模型,我们分析了从小叶中观察到的预测药物浓度水平及其在小叶中的详细分布,并与我们较早的理想模型进行了比较。在2D模式下,由于正弦波结构的随机性,单个肝静脉对注射的药物会有不同的反应(即在不同的时间)。但是,在3D模式下,观察到的对注射药物反应的变化不太严重。同样,生产曲线在3D中比在2D中显示出更多的扩散行为。结论尽管各个产生端口的反应不同,但所有肝静脉上的平均小叶产生的分布更为分散。因此,所有这些变化的净效应使整体响应更加平滑。我们还显示,在3D模式下,分区对药物生产特征的影响显得很小。因此,我们对基于生理学的3D小叶进行的新生物物理结构分析可以为定量评估健康和疾病中肝脏功能和表现的基础

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