Xia-Wen Liu, Yi Rong, Xing-Fei Zhang, Jun-Jun Huang, Yi Cai, Bi-Yun Huang, Liu Zhu, Bo Wu, Ning Hou, Cheng-Feng Luo
Abstract
Naftopidil (NAF) is widely used for the treatment of benign prostatic hyperplasia and prevention of prostate cancer in elderly men. These patients receive a combination of drugs, which involves high risk for drug-drug interaction. NAF exhibits superior efficacy but must be administered at a much higher dosage than other therapeutic drugs. We previously showed that extensive glucuronidation of NAF enantiomers caused poor bioavailability. However, the metabolic pathway and mechanism of action of NAF enantiomer remain to be elucidated. The present study was performed to identify the human UDP-glucuronosyltransferases (UGTs) responsible for the glucuronidation of NAF enantiomers and to investigate the potential inhibition of UGT activity by NAF. The major metabolic sites examined were liver and kidney, which were compared with intestine. Screening of 12 recombinant UGTs showed that UGT2B7 primarily contributed to the metabolism of both enantiomers. Moreover, enzyme kinetics for R(+)-NAF, UGT2B7 (mean Km, 21 μM; mean Vmax, 1043 pmol/min/mg) showed significantly higher activity than observed for UGT2B4 and UGT1A9. UGT2B4 (mean Km, 55 μM; mean Vmax, 1976 pmol/min/mg) and UGT2B7 (mean Km, 38 μM; mean Vmax, 1331 pmol/min/mg) showed significantly higher catalysis of glucuronidation of S(-)-NAF than UGT1A9. In human liver microsomes, R(+)-NAF and S(-)-NAF also inhibited UGT1A9: mean Ki values for R(+)-NAF and S(-)-NAF were 10.0 μM and 11.5 μM, respectively. These data indicate that UGT2B7 was the principal enzyme mediating glucuronidation of R(+)-NAF and S(-)-NAF. UGT2B4 plays the key role in the stereoselective metabolism of NAF enantiomers. R(+)-NAF and S(-)-NAF may inhibit UGT1A9. Understanding the metabolism of NAF enantiomers, especially their interactions with metabolic enzymes, will help to elucidate potential drug-drug interactions and to optimize the administration of this medicine.
Pharmacology, Toxicology and Pharmaceutical Science
3
25%
Chemistry
3
25%
Immunology and Microbiology
1
8%
Medicine and Dentistry
1
8%
Unknown
4
33%
Attention Score in Context
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 January 2018.
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#20,459,801
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Outputs from Frontiers in Pharmacology
#10,231
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Outputs of similar age
#379,484
of 443,312 outputs
Outputs of similar age from Frontiers in Pharmacology
#160
of 256 outputs
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