Acharya Poulomi, Tran Thuy T, Polli Joseph W, Ayrton Andrew, Ellens Harma, Bentz Joe
Department of Bioscience and Biotechnology, Drexel University, Philadelphia, Pennsylvania 19104, USA.
Biochemistry. 2006 Dec 26;45(51):15505-19. doi: 10.1021/bi060593b. Epub 2006 Nov 30.
The multidrug resistance transporter P-glycoprotein (P-gp) effluxes a wide range of substrates and can be affected by a wide range of inhibitors or modulators. Many studies have presented classifications for these binding interactions, within either the context of equilibrium binding or the Michaelis-Menten enzyme analysis of the ATPase activity of P-gp. Our approach is to study P-gp transport and its inhibition using a physiologically relevant confluent monolayer of hMDR1-MDCKII cells. We measure the elementary rate constants for P-gp efflux of substrates and study inhibition using pairwise combinations with a different unlabeled substrate acting as the inhibitor. Our current kinetic model for P-gp has only a single binding site, because a previous study proved that the mass-action kinetics of efflux of a single substrate were not sensitive to whether there are one or more substrate-binding and efflux sites. In this study, using this one-site model, we found that, with "high" concentrations of either a substrate or an inhibitor, the elementary rate constants fitted independently for each of the substrates alone quantitatively predicted the efflux curves, simply applying the assumption that binding at the "one site" was competitive. On the other hand, at "low" concentrations of both the substrate and inhibitor, we found no inhibition of the substrate efflux, despite the fact that both the substrate and inhibitor were being well-effluxed. This was not an effect of excess "empty" P-gp molecules, because the competitive efflux model takes site occupancy into account. Rather, it is quantitative evidence that the substrate and inhibitor are being effluxed by multiple pathways within P-gp. Remarkably, increasing the substrate concentration above the "low" concentration, caused the inhibition to become competitive; i.e., the inhibitor became effective. These data and their analysis show that the binding of these substrates must be cooperative, either positive or negative.
多药耐药转运蛋白P-糖蛋白(P-gp)能外排多种底物,且会受到多种抑制剂或调节剂的影响。许多研究针对这些结合相互作用进行了分类,这些分类要么基于平衡结合的背景,要么基于对P-gp ATP酶活性的米氏酶分析。我们的方法是使用具有生理相关性的人多药耐药蛋白1-犬肾上皮细胞(hMDR1-MDCKII)融合单层细胞来研究P-gp转运及其抑制作用。我们测量底物P-gp外排的基本速率常数,并使用与不同未标记底物作为抑制剂的成对组合来研究抑制作用。我们目前的P-gp动力学模型只有一个结合位点,因为先前的一项研究证明,单一底物外排的质量作用动力学对是否存在一个或多个底物结合和外排位点并不敏感。在本研究中,使用这个单一位点模型,我们发现,在底物或抑制剂的“高”浓度下,单独为每种底物独立拟合的基本速率常数定量预测了外排曲线,只需应用“一个位点”的结合具有竞争性这一假设。另一方面,在底物和抑制剂的“低”浓度下,尽管底物和抑制剂都能被有效外排,但我们发现底物外排没有受到抑制。这不是过量“空”P-gp分子的作用,因为竞争性外排模型考虑了位点占有率。相反,这是定量证据,表明底物和抑制剂是通过P-gp内的多种途径被外排的。值得注意的是,将底物浓度提高到“低”浓度以上,会使抑制作用变得具有竞争性;即抑制剂变得有效。这些数据及其分析表明,这些底物的结合必定是协同的,要么是正协同,要么是负协同。