College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington 99202, United States.
Department of Pharmaceutics, University of Washington, Seattle, Washington 98195, United States.
Mol Pharm. 2020 Nov 2;17(11):4114-4124. doi: 10.1021/acs.molpharmaceut.0c00559. Epub 2020 Oct 2.
The availability of assays that predict the contribution of cytochrome P450 (CYP) metabolism allows for the design of new chemical entities (NCEs) with minimal oxidative metabolism. These NCEs are often substrates of non-CYP drug-metabolizing enzymes (DMEs), such as UDP-glucuronosyltransferases (UGTs), sulfotransferases (SULTs), carboxylesterases (CESs), and aldehyde oxidase (AO). Nearly 30% of clinically approved drugs are metabolized by non-CYP enzymes. However, knowledge about the differential hepatic versus extrahepatic abundance of non-CYP DMEs is limited. In this study, we detected and quantified the protein abundance of eighteen non-CYP DMEs (AO, CES1 and 2, ten UGTs, and five SULTs) across five different human tissues. AO was most abundantly expressed in the liver and to a lesser extent in the kidney; however, it was not detected in the intestine, heart, or lung. CESs were ubiquitously expressed with CES1 being predominant in the liver, while CES2 was enriched in the small intestine. Consistent with the literature, UGT1A4, UGT2B4, and UGT2B15 demonstrated liver-specific expression, whereas UGT1A10 expression was specific to the intestine. UGT1A1 and UGT1A3 were expressed in both the liver and intestine; UGT1A9 was expressed in the liver and kidney; and UGT2B17 levels were significantly higher in the intestine than in the liver. All five SULTs were detected in the liver and intestine, and SULT1A1 and 1A3 were detected in the lung. Kidney abundance was the most variable among the studied tissues, and overall, high interindividual variability (>15-fold) was observed for UGT2B17, CES2 (intestine), SULT1A1 (liver), UGT1A9, UGT2B7, and CES1 (kidney). These differential tissue abundance data can be integrated into physiologically based pharmacokinetic (PBPK) models for the prediction of non-CYP drug metabolism and toxicity in hepatic and extrahepatic tissues.
可预测细胞色素 P450(CYP)代谢贡献的分析方法的出现,使得设计氧化代谢最小化的新化学实体(NCE)成为可能。这些 NCE 通常是非 CYP 药物代谢酶(DME)的底物,如 UDP-葡糖醛酸基转移酶(UGTs)、磺基转移酶(SULTs)、羧酸酯酶(CESs)和醛氧化酶(AO)。近 30%的临床批准药物由非 CYP 酶代谢。然而,关于非 CYP DME 的肝外组织中丰度的差异的知识是有限的。在这项研究中,我们在五个不同的人体组织中检测和定量了十八种非 CYP DME(AO、CES1 和 2、十个 UGT 和五个 SULT)的蛋白丰度。AO 在肝脏中表达最丰富,在肾脏中表达较少;然而,在肠道、心脏或肺中未检测到。CESs 广泛表达,CES1 在肝脏中占优势,而 CES2 在小肠中富集。与文献一致,UGT1A4、UGT2B4 和 UGT2B15 表现出肝脏特异性表达,而 UGT1A10 的表达特异性为肠道。UGT1A1 和 UGT1A3 在肝脏和肠道中表达;UGT1A9 在肝脏和肾脏中表达;UGT2B17 的水平在肠道中显著高于肝脏。所有五个 SULT 都在肝脏和肠道中被检测到,SULT1A1 和 1A3 在肺部中被检测到。肾脏组织的丰度在研究的组织中变化最大,总体而言,UGT2B17、CES2(肠道)、SULT1A1(肝脏)、UGT1A9、UGT2B7 和 CES1(肾脏)的个体间变异性>15 倍。这些组织丰度的差异数据可以整合到基于生理学的药代动力学(PBPK)模型中,以预测肝脏和肝外组织中非 CYP 药物的代谢和毒性。