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Predicting oral drug absorption in man for compounds absorbed by carrier mediated and passive absorption processes.

机译:预测人类通过载体介导的和被动吸收过程吸收的化合物的口服药物吸收情况。

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摘要

Predicting drug absorption and drug absorption variation can considerably aid the selection of candidates in the drug discovery process as well as identify ways to optimize oral drug delivery in patients. An approach to estimating the fraction dose absorbed in humans is developed based on a macroscopic mass balance analysis. The analysis utilizes membrane absorption parameters, calculated from intestinal perfusion experiments in rats, for drugs absorbed by both carrier mediated and passive adsorption mechanisms. The analysis suggests that the absorption number, An, and the dose to solubility ratio, 1/S{dollar}sp*{dollar}, are key parameters for predicting drug absorption where An = P{dollar}sp*sb{lcub}rm e{rcub}{dollar}Gz, P{dollar}sp*sb{lcub}rm e{rcub}{dollar} is the dimensionless effective permeability, and Gz is the Graetz number. Three equations predicting fraction absorbed are developed for the following cases of drug in solution: drug concentration (1) below the solubility, (2) initially exceeding the solubility, and (3) always greater than the solubility.; Model compounds used for the correlations included those absorbed by carrier mediated and/or passive absorption processes. Literature values for intestinal wall permeability are used for the passively absorbed compounds whereas the absorption parameters for the carrier mediated compounds were determined from intestinal perfusion experiments in rats. Human fraction dose absorbed (F) data and An showed an excellent correlation. The theoretical analysis, confirmed by experimental results, demonstrates that two of the fundamental parameters controlling drug absorption are the absorption number and the dose to solubility ratio.; The {dollar}beta{dollar}-lactam antibiotic intestinal absorption mechanism is characterized using single pass perfusion technique in rats. The membrane absorption parameters, J{dollar}sp*sb{lcub}rm max{rcub}{dollar}(maximal flux), K{dollar}sb{lcub}rm m{rcub}{dollar}(Michaelis Constant), and P{dollar}sp*sb{lcub}rm c{rcub}{dollar}(carrier permeability) for amoxicillin, cephalexin, cephradine, cefatrizine, cefaclor, and cefadroxil were determined. Analysis of the data using a modified boundary layer method revealed nonpassive membrane transport. Competitive absorption studies performed with {dollar}beta{dollar}-lactam antibiotics, amino acids, and several small peptides suggest that absorption interactions between carrier mediated compounds, including other drugs, peptides or amino acids, may be clinically significant and may account for a second possible mechanism along with delayed gastric emptying for the delay in antibiotic plasma levels.
机译:预测药物吸收和药物吸收变化可以极大地帮助药物发现过程中候选药物的选择,以及确定优化患者口服药物输送的方法。基于宏观质量平衡分析,开发了一种估算人体吸收分数剂量的方法。该分析利用了通过大鼠肠道灌注实验计算出的膜吸收参数,来确定载体介导的和被动吸附机制所吸收的药物。分析表明,吸收数An和剂量/溶解度比1 / S {dollar} sp * {dollar}是预测药物吸收的关键参数,其中An = P {dollar} sp * sb {lcub} rm e {rcub} {dollar} Gz,P {dollar} sp * sb {lcub} rm e {rcub} {dollar}是无因次有效渗透率,而Gz是Graetz数。对于以下药物在溶液中的情况,建立了三个预测吸收分数的方程式:(1)低于溶解度的药物浓度;(2)最初超过溶解度的药物浓度;(3)始终大于溶解度的药物浓度;用于相关的模型化合物包括那些通过载体介导和/或被动吸收过程吸收的化合物。肠壁通透性的文献值用于被动吸收的化合物,而载体介导的化合物的吸收参数由大鼠的肠灌注实验确定。人类分数剂量吸收(F)数据与An显示出极好的相关性。实验结果证实了理论分析,结果表明,控制药物吸收的两个基本参数是吸收数和剂量与溶解度之比。使用单次灌注技术在大鼠中表征了{beta} {dollar}-内酰胺类抗生素的肠道吸收机制。膜吸收参数J {dollar} sp * sb {lcub} rm max {rcub} {dollar}(最大通量),K {dollar} sb {lcub} rm m {rcub} {dollar}(Michaelis Constant)和确定了阿莫西林,头孢氨苄,头孢拉定,头孢他嗪,头孢克洛和头孢他罗尔的P {dollar} sp * sb {lcub} rm c {rcub} {dollar}(载体渗透性)。使用改进的边界层方法对数据进行的分析显示了非被动膜传输。使用{dol}β{dollar}-内酰胺类抗生素,氨基酸和几种小肽进行的竞争性吸收研究表明,载体介导的化合物(包括其他药物,肽或氨基酸)之间的吸收相互作用可能在临床上具有重要意义,并且可能解释了第二种可能的机制以及胃排空延迟导致抗生素血浆水平延迟。

著录项

  • 作者

    Sinko, Patrick John.;

  • 作者单位

    University of Michigan.;

  • 授予单位 University of Michigan.;
  • 学科 Health Sciences Pharmacy.
  • 学位 Ph.D.
  • 年度 1988
  • 页码 232 p.
  • 总页数 232
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 药剂学;
  • 关键词

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