首页> 外文期刊>Journal of pharmacokinetics and pharmacodynamics >Development of a human physiologically based pharmacokinetic (PBPK) model for inorganic arsenic and its mono- and di-methylated metabolites.
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Development of a human physiologically based pharmacokinetic (PBPK) model for inorganic arsenic and its mono- and di-methylated metabolites.

机译:无机砷及其单和二甲基化代谢物的基于人体生理学的药代动力学(PBPK)模型的开发。

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A physiologically-based pharmacokinetic (PBPK) model was developed to estimate levels of arsenic and its metabolites in human tissues and urine after oral exposure to arsenate (As(V)), arsenite (As(III)) or organoarsenical pesticides. The model consists of interconnected individual PBPK models for inorganic arsenic (As(V) and As(III)), monomethylarsenic acid (MMA(V)), and, dimethylarsenic acid (DMA(V)). Reduction of MMA(V) and DMA(V) to their respective trivalent forms also occurs in the lung, liver, and kidney including excretion in urine. Each submodel was constructed using flow limited compartments describing the mass balance of the chemicals in GI tract (lumen and tissue), lung, liver, kidney, muscle, skin, heart, and brain. The choice of tissues was based on physiochemical properties of the arsenicals (solubility), exposure routes, target tissues, and sites for metabolism. Metabolism of inorganic arsenic in liver was described as a series of reduction and oxidative methylation steps incorporating the inhibitory influence of metabolites on methylation. The inhibitory effects of As(III) on the methylation of MMA(III) to DMA, and MMA(III) on the methylation of As(III) to MMA were modeled as noncompetitive. To avoid the uncertainty inherent in estimation of many parameters from limited human data, a priori independent parameter estimates were derived using data from diverse experimental systems with priority given to data derived using human cells and tissues. This allowed the limited data for human excretion of arsenicals in urine to be used to estimate only parameters that were most sensitive to this type of data. Recently published urinary excretion data, not previously used in model development, are also used to evaluate model predictions.
机译:建立了基于生理学的药代动力学(PBPK)模型,以评估口服砷酸盐(As(V)),砷酸盐(As(III))或有机砷农药后人体组织和尿液中砷及其代谢产物的水平。该模型由用于无机砷(As(V)和As(III)),单甲基砷酸(MMA(V))和二甲基砷酸(DMA(V))的相互连接的各个PBPK模型组成。 MMA(V)和DMA(V)还原为它们各自的三价形式也发生在肺,肝和肾中,包括尿中的排泄物。每个子模型使用流量受限的隔室构建,该隔室描述了胃肠道(内腔和组织),肺,肝,肾,肌肉,皮肤,心脏和大脑中化学物质的质量平衡。组织的选择基于砷化物的物理化学性质(溶解性),暴露途径,目标组织和代谢部位。肝脏中无机砷的代谢被描述为一系列还原和氧化甲基化步骤,其中纳入了代谢物对甲基化的抑制作用。将As(III)对MMA(III)甲基化为DMA的抑制作用和MMA(III)对As(III)甲基化为MMA的抑制作用建模为非竞争性。为了避免从有限的人类数据估算许多参数时固有的不确定性,先验先验独立参数估算是使用来自各种实验系统的数据得出的,优先考虑的是使用人体细胞和组织得出的数据。这允许将人体中尿中砷的排泄的有限数据用于仅估计对此类数据最敏感的参数。最近发布的未在模型开发中使用的尿液排泄数据也用于评估模型预测。

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