Komatsu K, Ito K, Nakajima Y, Kanamitsu S i, Imaoka S, Funae Y, Green C E, Tyson C A, Shimada N, Sugiyama Y
Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.
Drug Metab Dispos. 2000 Apr;28(4):475-81.
Drug-drug interactions between tolbutamide and sulfonamides have extensively been reported. We attempted to predict the in vivo interaction between tolbutamide and sulfonamides from the in vitro metabolic inhibition studies. The inhibition constant (K(i)) was derived from the inhibitory effects of eight sulfonamides (sulfaphenazole, sulfadiazine, sulfamethizole, sulfisoxazole, sulfamethoxazole, sulfapyridine, sulfadimethoxine, and sulfamonomethoxine) on tolbutamide metabolism. We found that the inhibitory effect of sulfaphenazole was greatest among the eight sulfonamides examined. Furthermore, the contribution of each P450 enzyme to tolbutamide metabolism was investigated by using recombinant P450 enzymes. Although cytochrome P450 (CYP) 2C8, 2C9, and 2C19 metabolized tolbutamide, the main enzyme involved was CYP2C9. The K(i) values of several sulfonamides were comparable between human liver microsomes and recombinant CYP2C9. The maximum unbound plasma concentration of sulfonamides in the portal vein was calculated from literature data on the pharmacokinetics of sulfonamides. Using the K(i) values obtained from in vitro inhibition studies, the degree of increase in tolbutamide area under the plasma concentration-time curve (AUC) was predicted. About 4.8- and 1.6-fold increases in tolbutamide AUC were predicted by coadministration of sulfaphenazole and sulfamethizole, respectively, which agreed well with the reported increases in humans. Furthermore, the increase in tolbutamide AUC by coadministration of sulfadiazine, sulfisoxazole, and sulfamethizole was predicted to be 1.5- to 2. 6-fold, although the corresponding in vivo effects have not been reported. It is concluded that some of these sulfonamides have to be carefully coadministered with CYP2C9 substrates such as tolbutamide although coadministration of sulfaphenazole needs the greatest care.
甲苯磺丁脲与磺胺类药物之间的药物相互作用已有广泛报道。我们试图通过体外代谢抑制研究来预测甲苯磺丁脲与磺胺类药物在体内的相互作用。抑制常数(K(i))源自8种磺胺类药物(磺胺苯吡唑、磺胺嘧啶、磺胺甲噻二唑、磺胺异噁唑、磺胺甲恶唑、磺胺吡啶、磺胺二甲氧嘧啶和磺胺间甲氧嘧啶)对甲苯磺丁脲代谢的抑制作用。我们发现,在所检测的8种磺胺类药物中,磺胺苯吡唑的抑制作用最强。此外,通过使用重组P450酶研究了每种P450酶对甲苯磺丁脲代谢的贡献。虽然细胞色素P450(CYP)2C8、2C9和2C19可代谢甲苯磺丁脲,但主要参与的酶是CYP2C9。几种磺胺类药物在人肝微粒体和重组CYP2C9中的K(i)值相当。根据磺胺类药物的药代动力学文献数据计算了门静脉中磺胺类药物的最大非结合血浆浓度。利用体外抑制研究获得的K(i)值,预测了甲苯磺丁脲血浆浓度-时间曲线下面积(AUC)的增加程度。联合使用磺胺苯吡唑和磺胺甲噻二唑时,预测甲苯磺丁脲AUC分别增加约4.8倍和1.6倍,这与报道的人体增加情况非常吻合。此外,联合使用磺胺嘧啶、磺胺异噁唑和磺胺甲噻二唑时,预测甲苯磺丁脲AUC增加1.5至2.6倍,尽管相应的体内效应尚未见报道。结论是,这些磺胺类药物中的一些必须谨慎地与CYP2C9底物如甲苯磺丁脲联合使用,尽管联合使用磺胺苯吡唑时需要格外小心。