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Physiologically-based pharmacokinetic model for Fentanyl in support of the development of Provisional Advisory Levels

机译:基于生理学的芬太尼药代理模型,支持临时咨询水平发展

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Provisional Advisory Levels (PALs) are tiered exposure limits for toxic chemicals in air and drinking water that are developed to assist in emergency responses. Physiologically-based pharmacokinetic (PBPK) modeling can support this process by enabling extrapolations across doses, and exposure routes, thereby addressing gaps in the available toxicity data. Here, we describe the development of a PBPK model for Fentanyl - a synthetic opioid used clinically for pain management - to support the establishment of PALs. Starting from an existing model for intravenous Fentanyl, we first optimized distribution and clearance parameters using several additional IV datasets. We then calibrated the model using pharmacokinetic data for various formulations, and determined the absorbed fraction, F, and time taken for the absorbed amount to reach 90% of its final value, t90. For aerosolized pulmonary Fentanyl, F= 1 and t90. <. 1. min indicating complete and rapid absorption. The F value ranged from 0.35 to 0.74 for oral and various transmucosal routes. Oral Fentanyl was absorbed the slowest (t90 ~ 300. min); the absorption of intranasal Fentanyl was relatively rapid (t90 ~ 20-40. min); and the various oral transmucosal routes had intermediate absorption rates (t90 ~ 160-300. min). Based on these results, for inhalation exposures, we assumed that all of the Fentanyl inhaled from the air during each breath directly, and instantaneously enters the arterial circulation. We present model predictions of Fentanyl blood concentrations in oral and inhalation scenarios relevant for PAL development, and provide an analytical expression that can be used to extrapolate between oral and inhalation routes for the derivation of PALs.
机译:临时咨询水平(PALS)是用于有助于协助紧急响应的空气和饮用水中有毒化学物质的曝光限值。基于生理学的药代动力学(PBPK)建模可以通过使剂量的外推和曝光路线能够支持这种过程,从而解决可用毒性数据中的间隙。在这里,我们描述了对芬太尼的PBPK模型的开发 - 合成阿片类药物用于临床管理疼痛管理 - 以支持PALS的建立。从现有型芬太尼的现有模型开始,我们首先使用几个额外的IV数据集优化分布和间隙参数。然后,使用针对各种配方的药代动力学数据校准模型,并确定吸收量的吸收级分,F和时间达到其最终值T90的90%。用于雾化肺芬太尼,F = 1和T90。 <。 1.分钟表明完全和快速吸收。对于口腔和各种透气磁带路线,F值范围为0.35至0.74。口服芬太尼被吸收最缓慢(T90〜300.min);鼻内芬太尼的吸收相对较快(T90〜20-40。分钟);各种口腔透气滤网具有中间吸收率(T90〜160-300。分钟)。基于这些结果,为了吸入曝光,我们假设在每次呼吸期间吸入空气中的所有芬太尼,并且瞬间进入动脉循环。我们在对PAL开发中的口腔和吸入情景中呈现芬太尼血液浓度的模型预测,并提供了一种分析表达,可用于推断口腔和吸入路线以推导PALS的衍生。

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