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Allometric scaling for predicting human drug clearance

机译:异速伸缩定标可预测人的药物清除率

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摘要

Various modified methods have been proposed in response to criticisms regarding the practical applicability of allometric scaling, which is one of the most widely used approaches in predicting human drug clearance based on data from animal species. The major problems encountered among allometric methods in predicting human drug clearance are addressed in this dissertation. In chapter 2, a large data set for allometric scaling (n = 138) was collected from the literature and was categorized according to the following criteria: oral or systemic clearance; elimination routes; protein or non-protein chemicals; low, intermediate, or high metabolic clearance. Some significant observations have been made regarding the applicability of allometric scaling according to the pharmacokinetic and physical-chemical properties of the drugs examined. Of special note, several potential rules were developed for when one could expect large vertical allometry. In chapter 3, a new model for predicting human clearance was developed. The new model was shown to provide better predictability than any other current approach. In particular, the new model for the first time predicts the occurrence of large vertical allometry noted in humans. In chapter 4, a general equation was derived, which directly describes the mathematical relationship between predicted pharmacokinetic (PK) parameters in humans and the body weights of animals and the values of their corresponding measured PK parameters. This relationship clearly illustrates the species or body weight-dependency of the prediction performance by allometric scaling. Finally, real data from the literature demonstrated the species-dependency predicted from the equation. In chapter 5, the functionality of the correction factors, maximum life-span potential (MLP) and brain weight (BrW) in allometry is mathematically described for the first time. It was found that corrections by MLP or BrW are equivalent to a multiplication of certain constants by the predicted values in humans from simple allometry and has nothing to do with any measured values of PK parameters in any animal species. The role of correction factors (MLP and BrW) or "rule of exponents" in species scaling was evaluated.
机译:为了响应对异速比标定标的实际适用性的批评,已经提出了各种改进的方法,这是基于动物物种数据预测人类药物清除率的最广泛使用的方法之一。本文探讨了异速测量法在预测人类药物清除率中遇到的主要问题。在第二章中,从文献中收集了大量的异速缩放比例数据(n = 138),并根据以下标准进行了分类:口腔或全身清除率;消除途径;蛋白质或非蛋白质化学品;低,中或高代谢清除率。根据所检查药物的药代动力学和物理化学特性,已经对异速溶垢的适用性进行了一些重要观察。特别值得注意的是,针对何时可以期望较大的垂直异形体开发了一些潜在规则。在第三章中,开发了一种新的预测人员通行的模型。与现有的其他方法相比,新模型显示出更好的可预测性。特别是,新模型首次预测了人类注意到的大垂直异形体的发生。在第4章中,推导了一个通用方程,该方程直接描述了人类预测的药代动力学(PK)参数与动物体重及其相应测得PK参数值之间的数学关系。这种关系通过异速缩放清楚地说明了预测性能的种类或体重依赖性。最后,来自文献的真实数据证明了根据方程式预测的物种依赖性。在第5章中,首次在数学上描述了校正因子,最大寿命潜力(MLP)和脑重量(BrW)的功能。已经发现,通过MLP或BrW进行的校正等同于某些常数乘以人类从简单变构法得出的预测值,并且与任何动物物种中PK参数的任何测量值无关。评价了校正因子(MLP和BrW)或“指数规则”在物种定标中的作用。

著录项

  • 作者

    Tang, Huadong.;

  • 作者单位

    The University of Arizona.;

  • 授予单位 The University of Arizona.;
  • 学科 Pharmaceutical sciences.;Pharmacology.;Animal Physiology.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 128 p.
  • 总页数 128
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:43:11

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