Cytochrome P450 and UDP-glucuronosyltransferase expressions, activities, and induction abilities in 3D-cultured human renal proximal tubule epithelial cells.

The role of the kidney as an excretory organ for exogenous and endogenous compounds is well recognized, but there is a wealth of data demonstrating that the kidney has significant metabolizing capacity for a variety of exogenous and endogenous compounds that in some cases surpass the liver. The induction of drug-metabolizing enzymes by some chemicals can cause drug-drug interactions and intraindividual variability in drug clearance. In this study, we evaluated the expression and induction of cytochrome P450 (P450) and UDP-glucuronosyltransferase (UGT) isoforms in 3D-cultured primary human renal proximal tubule epithelial cells (RPTEC) to elucidate their utility as models of renal drug metabolism. CYP2B6, CYP2E1, CYP3A4, CYP3A5, and all detected UGTs (UGT1A1, UGT1A4, UGT1A6, UGT1A9, and UGT2B7) mRNA levels in 3D-RPTEC were significantly higher than those in 2D-RPTEC and HK-2 cells and were close to the levels in the human kidney cortex. CYP1B1 and CYP2J2 mRNA levels in 3D-RPTEC were comparable to those in 2D-RPTEC, HK-2 cells, and the human kidney cortex. Midazolam 1'-hydroxylation, trifluoperazine N-glucuronidation, serotonin O-glucuronidation, propofol O-glucuronidation, and morphine 3-glucuronidation in the 3D-RPTEC were significantly higher than the 2D-RPTEC and comparable to those in the HepaRG cells, although bupropion, ebastine, and calcitriol hydroxylations were not different between the 2D- and 3D-RPTEC. Treatment with ligands of the aryl hydrocarbon receptor and farnesoid X receptor induced CYP1A1 and UGT2B4 expression, respectively, in 3D-RPTEC compared to 2D-RPTEC. We provided information on the expression, activity, and induction abilities of P450s and UGTs in 3D-RPTEC as an in vitro human renal metabolism model. Significance Statement This study demonstrated that the expression of P450s and UGTs in 3D-RPTEC was higher than those in 2D-RPTEC and HK-2 cells. The results were comparable to that in the human kidney cortex. 3D-RPTEC are useful for evaluating the induction of kidney P450s, UGTs, and human renal drug metabolism in cellulo.

Development and Validation of a Proteomic Correlation Profiling Technique to Detect and Identify Enzymes Involved in Metabolism of Drugs of Concern.

To predict the variation of pharmacological or toxicological effect caused by pharmacokinetic variance, it is important to be able to detect previously unknown and unsuspected enzymes involved in drug metabolism. We investigated the use of proteomic correlation profiling (PCP) as a technique to identify the enzymes involved in metabolism of drugs of concern. By evaluating the metabolic activities of each enzyme (including isoforms of cytochrome P450, uridine 5' diphospho-glucuronosyltransferase, and hydrolases, plus aldehyde oxidase and carbonyl reductase) on their typical substrates using a panel of human liver samples, we were able to show the validity of PCP for this purpose. R or Rs and P values were calculated for the association between the protein abundance profile of each protein and the metabolic rate profile of each typical substrate. For the 18 enzymatic activities examined, 13 of the enzymes reported to be responsible for the reactions had correlation coefficients higher than 0.7 and were ranked first to third. For the remaining five activities, the responsible enzymes had correlation coefficients lower than 0.7 and lower rankings. The reasons for this were diverse, including confounding resulting from low protein abundance ratios, artificially high correlations of other enzymes due to limited sample numbers, the presence of inactive enzyme forms, and genetic polymorphisms. Overall, PCP was able to identify the majority of responsible drug-metabolizing enzymes across several enzyme classes (oxidoreductase, transferase, hydrolase); use of this methodology could allow more timely and accurate identification of unknown drug-metabolizing enzymes. SIGNIFICANCE STATEMENT: Proteomic correlation profiling using samples from individual human donors was proven to be a useful methodology for the identification of enzymes responsible for drug-metabolism. This methodology could accelerate the identification of unknown drug-metabolizing enzymes in the future.

Characterization of Enzymes Involved in Nintedanib Metabolism in Humans.

Nintedanib, which is used to treat idiopathic pulmonary fibrosis and non-small cell lung cancer, is metabolized to a pharmacologically inactive carboxylate derivative, BIBF1202, via hydrolysis and subsequently by glucuronidation to BIBF1202 acyl-glucuronide (BIBF1202-G). Since BIBF1202-G contains an ester bond, it can be hydrolytically cleaved to BIBF1202. In this study, we sought to characterize these metabolic reactions in the human liver and intestine. Nintedanib hydrolysis was detected in human liver microsomes (HLMs) (Clearance [CL int]: 102.8 ± 18.9 µL/min per mg protein) but not in small intestinal preparations. CES1 was suggested to be responsible for nintedanib hydrolysis according to experiments using recombinant hydrolases and hydrolase inhibitors as well as proteomic correlation analysis using 25 individual HLM. BIBF1202 glucuronidation in HLM (3.6 ± 0.3 µL/min per mg protein) was higher than that in human intestinal microsomes (1.5 ± 0.06 µL/min per mg protein). UGT1A1 and gastrointestinal UGT1A7, UGT1A8, and UGT1A10 were able to mediate BIBF1202 glucuronidation. The impact of UGT1A1 on glucuronidation was supported by the finding that liver microsomes from subjects homozygous for the UGT1A1*28 allele showed significantly lower activity than those from subjects carrying the wild-type UGT1A1 allele. Interestingly, BIBF1202-G was converted to BIBF1202 in HLS9 at 70-fold higher rates than the rates of BIBF1202 glucuronidation. An inhibition study and proteomic correlation analysis suggested that ß-glucuronidase is responsible for hepatic BIBF1202-G deglucuronidation. In conclusion, the major metabolic reactions of nintedanib in the human liver and intestine were quantitatively and thoroughly elucidated. This information could be helpful to understand the inter- and intraindividual variability in the efficacy of nintedanib. SIGNIFICANCE STATEMENT: To our knowledge, this is the first study to characterize the enzymes responsible for each step of nintedanib metabolism in the human body. This study found that ß-glucuronidase may contribute to BIBF1202-G deglucuronidation.

The N6-methyladenosine modification posttranscriptionally regulates hepatic UGT2B7 expression.

UDP-glucuronosyltransferases (UGTs) are enzymes catalyzing the glucuronidation of various endogenous and exogenous compounds. In this study, we examined the possibility that N6-methyladenosine (m6A) modification affects hepatic UGT expression. Treatment of HepaRG cells with 3-deazaadenosine, an inhibitor of RNA methylation, significantly increased UGT1A1, UGT1A3, UGT1A4, UGT1A9, UGT2B7, UGT2B10, and UGT2B15 mRNA levels (1.3- to 2.6-fold). Among them, we focused on UGT2B7 because it most highly contributes to glucuronidation of clinically used drugs. Methylated RNA immunoprecipitation assays revealed that UGT2B7 mRNA in HepaRG cells and human livers is subjected to m6A modification mainly at the 5' untranslated region (UTR) and secondarily at the 3'UTR. UGT2B7 mRNA and protein levels in Huh-7 cells were significantly increased by double knockdown of methyltransferase-like 3 (METTL3) and METTL14, whereas those were decreased by knockdown of fat mass and obesity-associated protein (FTO) or alkB homolog 5, RNA demethylase (ALKBH5), suggesting that m6A modification downregulates UGT2B7 expression. By experiments using actinomycin D, an inhibitor of transcription, it was demonstrated that ALKBH5-mediated demethylation would attenuate UGT2B7 mRNA degradation, whereas METTL3/METTL14 or FTO-mediated m6A modification would alter the transactivity of UGT2B7. Luciferase assays revealed that the promoter region at -118 to -106 has a key role in the decrease in transactivity of UGT2B7 by FTO knockdown. We found that hepatocyte nuclear factor 4α (HNF4α) expression was significantly decreased by knockdown of FTO, indicating that this would be the underlying mechanism of the decreased transactivity of UGT2B7 by knockdown of FTO. Interestingly, treatment with entacapone, which is used for the treatment of Parkinson's disease and is an inhibitor of FTO, decreased HNF4α and UGT2B7 expression. In conclusion, this study clarified that RNA methylation posttranscriptionally controls hepatic UGT2B7 expression.