Galetin Aleksandra, Hinton Laura K, Burt Howard, Obach R Scott, Houston J Brian
School of Pharmacy and Pharmaceutical Sciences, University of Manchester, Manchester, UK.
Curr Drug Metab. 2007 Oct;8(7):685-93. doi: 10.2174/138920007782109805.
For certain CYP3A4 substrates intestinal first-pass metabolism makes a substantial contribution to low oral bioavailability and extent of drug-drug interactions (DDI). In order to include the contribution of enzyme inhibition in the gut wall in the assessment of DDI potential, the ratio of the intestinal wall availability in the presence and absence of an inhibitor (F(G)(') and F(G), respectively) has been incorporated into a prediction equation based on hepatic enzyme interactions. This approach has been applied for both reversible and irreversible DDIs, involving 36 different inhibitors and 11 CYP3A4 substrates. The aim was to investigate the use of maximal (complete) inhibition of intestinal CYP3A4 (F(G)(')=1) as a pragmatic measure of the intestinal enzyme interaction and to compare this approach with observed in vivo values (where available) and predicted F(G) ratios from an intestinal model. The latter was obtained from the decrease in the intestinal intrinsic clearance in the presence of an inhibitor, using an estimated inhibitor concentration in the intestinal wall during absorption phase (I(G)) and an in vitro obtained K(i). In addition, the impact of variability in the enterocytic blood flow on the estimated I(G) and subsequently the model predicted F(G) ratio was investigated. The maximal F(G) ratios for the 11 CYP3A4 substrates investigated ranged from 1.06-7.14 for alprazolam and tacrolimus, respectively. In 91% of the studies investigated the model predicted F(G) ratio was within 40% of the maximal value. Maximal F(G) ratio is proposed as an initial indicator of the magnitude of intestinal enzyme interaction; the implications for drug elimination involving substrates cleared either by metabolism or by a combination of metabolism and efflux transporters are discussed.
对于某些细胞色素P450 3A4(CYP3A4)底物而言,肠道首过代谢对口服生物利用度低以及药物相互作用(DDI)程度有很大影响。为了在评估DDI可能性时纳入肠壁中酶抑制作用的影响,在基于肝酶相互作用的预测方程中纳入了存在和不存在抑制剂时肠壁的可利用性比值(分别为F(G)'和F(G))。该方法已应用于可逆和不可逆的DDI,涉及36种不同抑制剂和11种CYP3A4底物。目的是研究将肠道CYP3A4的最大(完全)抑制(F(G)' = 1)用作肠道酶相互作用的实用指标,并将该方法与体内观察值(如可获得)以及肠道模型预测的F(G)比值进行比较。后者是通过在吸收阶段使用肠壁中估计的抑制剂浓度(I(G))和体外获得的抑制常数(K(i)),根据存在抑制剂时肠道内在清除率的降低来获得的。此外,还研究了肠细胞血流变异性对估计的I(G)以及随后模型预测的F(G)比值的影响。所研究的11种CYP3A4底物的最大F(G)比值,阿普唑仑和他克莫司分别为1.06至7.14。在91%的研究中,模型预测的F(G)比值在最大值的40%以内。建议将最大F(G)比值作为肠道酶相互作用程度的初始指标;讨论了其对涉及通过代谢或代谢与外排转运蛋白组合清除的底物的药物消除的影响。