Shen DD, Kunze KL, Thummel KE
Department of Pharmaceutics, Box 357610, University of Washington, Seattle, WA 98195, USA
Adv Drug Deliv Rev. 1997 Sep 15;27(2-3):99-127. doi: 10.1016/s0169-409x(97)00039-2.
Oral bioavailability of pharmacologically effective drugs is often limited by first-pass biotransformation. In humans, both hepatic and intestinal enzymes can catalyze the metabolism of a drug as it transits between the gastrointestinal lumen and systemic blood for the first time. Although a spectrum of drug biotransformations can occur during first-pass, the most common are oxidations catalyzed by cytochromes P450. It is the isozymes CYP2D6, CYP3A4, CYP1A2, CYP2C9 and CYP2C19 that are most often implicated in first-pass drug elimination. For any given substrate, enzyme specificity, enzyme content, substrate binding affinity and sensitivity to irreversible catalytic events all play a role in determining the overall efficiency, or intrinsic clearance, of elimination. Several models have been proposed over the past twenty-five years that mathematically describe the process of drug extraction across the liver. The most widely used, the well-stirred model, has also been considered for depiction of first-pass drug elimination across the intestinal wall. With these models it has been possible to examine sources of interindividual variability in drug bioavailability including, variable constitutive enzyme expression (both genetic and environmentally determined), enzyme induction by drugs, disease and diet, and intrinsic or acquired differences in plasma protein binding and organ blood flow (food and drug effects). In recent years, the most common application of hepatic clearance models has been the determination of maximum organ availability of a drug from in vitro derived estimates of intrinsic metabolic clearance. The relative success of the in vitro-in vivo approach for both low and highly extracted drugs has led to a broader use by the drug industry for a priori predictions as part of the drug selection process. A considerable degree of effort has also been focused on gut wall first-pass metabolism. Important pathways of intestinal Phase II first-pass metabolism include the sulfation of terbutaline and isoproterenol and glucuronidation of morphine and labetalol. It is also clear that some of the substrates for CYP3A4 (e.g., cyclosporine, midazolam, nifedipine, verapamil and saquinavir) undergo significant metabolic extraction by the gut wall. For example, the first-pass extraction of midazolam by the intestinal mucosa appears, on average, to be comparable to extraction by the liver. However, many other CYP3A substrates do not appear susceptible to a gut wall first-pass, possibly because of enzyme saturation during first-pass or a limited intrinsic metabolic clearance. Both direct biochemical and indirect in vivo clearance data suggest significant inter-individual variability in gut wall CYP3A-dependent metabolism. The source of this constitutive variability is largely unknown. Because of their unique anatomical location, enzymes of the gut wall may represent an important and highly sensitive site of metabolically-based interactions for orally administered drugs. Again, interindividual variability may make it impossible to predict the likelihood of an interaction in any given patient. Hopefully, though, newer models for studying human gut wall metabolic extraction will provide the means to predict the average extraction ratio and maximum first-pass availability of a putative substrate, or the range of possible inhibitory or inductive changes for a putative inhibitor/inducer.
药理活性药物的口服生物利用度常常受到首过生物转化的限制。在人体中,当药物首次在胃肠道腔和全身血液之间转运时,肝脏和肠道的酶均可催化其代谢。尽管在首过过程中可能发生一系列药物生物转化,但最常见的是细胞色素P450催化的氧化反应。首过药物消除最常涉及的同工酶是CYP2D6、CYP3A4、CYP1A2、CYP2C9和CYP2C19。对于任何给定的底物,酶特异性、酶含量、底物结合亲和力以及对不可逆催化事件的敏感性,在决定消除的整体效率或内在清除率方面均发挥作用。在过去25年中,已经提出了几种数学描述药物经肝脏提取过程的模型。应用最广泛(即充分搅拌模型)的模型,也被用于描述药物经肠壁的首过消除。利用这些模型,可以研究药物生物利用度个体间差异的来源,包括组成型酶表达的变化(由遗传和环境决定)、药物、疾病和饮食对酶的诱导作用,以及血浆蛋白结合和器官血流量的内在或获得性差异(食物和药物效应)。近年来,肝脏清除模型最常见的应用是根据体外获得的内在代谢清除率估计值,来确定药物的最大器官可利用度。体外-体内方法对低提取率和高提取率药物均取得了相对成功,这使得制药行业更广泛地将其用于药物选择过程中的先验预测。相当大的精力也集中在肠壁首过代谢上。肠道II相首过代谢的重要途径包括特布他林和异丙肾上腺素的硫酸化,以及吗啡和拉贝洛尔的葡萄糖醛酸化。同样明显的是,一些CYP3A4底物(如环孢素、咪达唑仑、硝苯地平、维拉帕米和沙奎那韦)会被肠壁进行显著的代谢提取。例如,咪达唑仑经肠黏膜的首过提取平均看来与经肝脏提取相当。然而,许多其他CYP3A底物似乎不易发生肠壁首过,这可能是因为首过期间酶饱和或内在代谢清除率有限。直接生化数据和间接体内清除数据均表明,肠壁CYP3A依赖性代谢存在显著个体间差异。这种组成型差异的来源很大程度上尚不清楚。由于其独特的解剖位置,肠壁的酶可能是口服给药药物基于代谢相互作用的一个重要且高度敏感的部位。同样,个体间差异可能使得无法预测任何给定患者发生相互作用的可能性。不过,有望通过更新的研究人体肠壁代谢提取的模型,来预测假定底物的平均提取率和最大首过可利用度,或预测假定抑制剂/诱导剂可能的抑制或诱导变化范围。