1
|
Tang LWT, Lapham K, Goosen TC. UGT2B10 is the Major UDP-Glucuronosyltransferase 2B Isoform Involved in the Metabolism of Lamotrigine and is Implicated in the Drug-Drug Interaction with Valproic Acid. AAPS J 2024; 26:107. [PMID: 39322784 DOI: 10.1208/s12248-024-00978-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2024] [Accepted: 09/08/2024] [Indexed: 09/27/2024] Open
Abstract
Lamotrigine is a phenyltriazine anticonvulsant that is primarily metabolized by phase II UDP-glucuronosyltransferases (UGT) to a quaternary N2-glucuronide, which accounts for ~ 90% of the excreted dose in humans. While there is consensus that UGT1A4 plays a predominant role in the formation of the N2-glucuronide, there is compelling evidence in the literature to suggest that the metabolism of lamotrigine is catalyzed by another UGT isoform. However, the exact identity of the UGT isoform that contribute to the formation of this glucuronide remains uncertain. In this study, we harnessed a robust reaction phenotyping strategy to delineate the identities and its associated fraction metabolized (fm) of the UGTs involved in lamotrigine N2-glucuronidation. Foremost, human recombinant UGT mapping experiments revealed that the N2-glucuronide is catalyzed by multiple UGT isoforms. (i.e., UGT1A1, 1A3, 1A4, 1A9, 2B4, 2B7, and 2B10). Thereafter, scaling the apparent intrinsic clearances obtained from the enzyme kinetic experiments with our in-house liver-derived relative expression factors (REF) and relative activity factors (RAF) revealed that, in addition to UGT1A4, UGT2B10 was involved in the N2-glucuronidation of lamotrigine. This was further confirmed via chemical inhibition in human liver microsomes with the UGT1A4-selective inhibitor hecogenin and the UGT2B10-selective inhibitor desloratadine. By integrating various orthogonal approaches (i.e., REF- and RAF-scaling, and chemical inhibition), we quantitatively determined that the fm for UGT1A4 and UGT2B10 ranged from 0.42 - 0.64 and 0.32 - 0.57, respectively. Finally, we also provided nascent evidence that the pharmacokinetic interaction between lamotrigine and valproic acid likely arose from the in vivo inhibition of its UGT2B10-mediated pathway.
Collapse
Affiliation(s)
- Lloyd Wei Tat Tang
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Research and Development, Pfizer Inc., 445 Eastern Point Rd, Groton, CT, 06340, USA.
| | - Kimberly Lapham
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Research and Development, Pfizer Inc., 445 Eastern Point Rd, Groton, CT, 06340, USA
| | - Theunis C Goosen
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Research and Development, Pfizer Inc., 445 Eastern Point Rd, Groton, CT, 06340, USA
| |
Collapse
|
2
|
Milani N, Qiu N, Fowler S. Contribution of UGT Enzymes to Human Drug Metabolism Stereoselectivity: A Case Study of Medetomidine, RO5263397, Propranolol, and Testosterone. Drug Metab Dispos 2023; 51:306-317. [PMID: 36810196 DOI: 10.1124/dmd.122.001024] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
The enantiomeric forms of chiral compounds have identical physical properties but may vary greatly in their metabolism by individual enzymes. Enantioselectivity in UDP-glucuronosyl transferase (UGT) metabolism has been reported for a number of compounds and with different UGT isoforms involved. However, the impact of such individual enzyme results on overall clearance stereoselectivity is often not clear. The enantiomers of medetomidine, RO5263397, and propranolol and the epimers testosterone and epitestosterone exhibit more than a 10-fold difference in glucuronidation rates by individual UGT enzymes. In this study, we examined the translation of human UGT stereoselectivity to hepatic drug clearance considering the combination of multiple UGTs to overall glucuronidation, the contribution of other metabolic enzymes such as cytochrome P450s (P450s), and the potential for differences in protein binding and blood/plasma partitioning. For medetomidine and RO5263397, the high individual enzyme (UGT2B10) enantioselectivity translated into ∼3- to >10-fold differences in predicted human hepatic in vivo clearance. For propranolol, the UGT enantioselectivity was irrelevant in the context of high P450 metabolism. For testosterone, a complex picture emerged due to differential epimeric selectivity of various contributing enzymes and potential for extrahepatic metabolism. Quite different patterns of P450- and UGT-mediated metabolism were observed across species, as well as differences in stereoselectivity, indicating that extrapolation from human enzyme and tissue data are essential when predicting human clearance enantioselectivity. SIGNIFICANCE STATEMENT: Individual enzyme stereoselectivity illustrates the importance of three-dimensional drug-metabolizing enzyme-substrate interactions and is essential when considering the clearance of racemic drugs. However, translation from in vitro to in vivo can be challenging as contributions from multiple enzymes and enzyme classes must be combined with protein binding and blood/plasma partitioning data to estimate the net intrinsic clearance for each enantiomer. Preclinical species may be misleading as enzyme involvement and metabolism stereoselectivity can differ substantially.
Collapse
Affiliation(s)
- Nicolò Milani
- Pharmaceutical Sciences, Roche Pharma Research and Early Development, Roche Innovation Centre Basel, Basel, Switzerland (N.M., N.Q., S.F.) and Department of Chemistry, Biology, and Biotechnology, University of Perugia, Perugia, Italy (N.M.)
| | - NaHong Qiu
- Pharmaceutical Sciences, Roche Pharma Research and Early Development, Roche Innovation Centre Basel, Basel, Switzerland (N.M., N.Q., S.F.) and Department of Chemistry, Biology, and Biotechnology, University of Perugia, Perugia, Italy (N.M.)
| | - Stephen Fowler
- Pharmaceutical Sciences, Roche Pharma Research and Early Development, Roche Innovation Centre Basel, Basel, Switzerland (N.M., N.Q., S.F.) and Department of Chemistry, Biology, and Biotechnology, University of Perugia, Perugia, Italy (N.M.)
| |
Collapse
|
4
|
Takahashi RH, Forrest WF, Smith AD, Badee J, Qiu N, Schmidt S, Collier AC, Parrott N, Fowler S. Characterization of Hepatic UDP-Glucuronosyltransferase Enzyme Abundance-Activity Correlations and Population Variability Using a Proteomics Approach and Comparison with Cytochrome P450 Enzymes. Drug Metab Dispos 2021; 49:760-769. [PMID: 34187837 DOI: 10.1124/dmd.121.000474] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 06/24/2021] [Indexed: 11/22/2022] Open
Abstract
The expression of ten major drug-metabolizing UDP-glucuronosyltransferase (UGT) enzymes in a panel of 130 human hepatic microsomal samples was measured using a liquid chromatography-tandem mass spectrometry-based approach. Simultaneously, ten cytochromes P450 and P450 reductase were also measured, and activity-expression relationships were assessed for comparison. The resulting data sets demonstrated that, with the exception of UGT2B17, 10th to 90th percentiles of UGT expression spanned 3- to 8-fold ranges. These ranges were small relative to ranges of reported mean UGT enzyme expression across different laboratories. We tested correlation of UGT expression with enzymatic activities using selective probe substrates. A high degree of abundance-activity correlation (Spearman's rank correlation coefficient > 0.6) was observed for UGT1As (1A1, 3, 4, 6) and cytochromes P450. In contrast, protein abundance and activity did not correlate strongly for UGT1A9 and UGT2B enzymes (2B4, 7, 10, 15, and 17). Protein abundance was strongly correlated for UGTs 2B7, 2B10, and 2B15. We suggest a number of factors may contribute to these differences including incomplete selectivity of probe substrates, correlated expression of these UGT2B isoforms, and the impact of splice and polymorphic variants on the peptides used in proteomics analysis, and exemplify this in the case of UGT2B10. Extensive correlation analyses identified important criteria for validating the fidelity of proteomics and enzymatic activity approaches for assessing UGT variability, population differences, and ontogenetic changes. SIGNIFICANCE STATEMENT: Protein expression data allow detailed assessment of interindividual variability and enzyme ontogeny. This study has observed that expression and enzyme activity are well correlated for hepatic UGT1A enzymes and cytochromes P450. However, for the UGT2B family, caution is advised when assuming correlation of expression and activity as is often done in physiologically based pharmacokinetic modeling. This can be due to incomplete probe substrate specificities, but may also be related to presence of inactive UGT protein materials and the effect of splicing variations.
Collapse
Affiliation(s)
- Ryan H Takahashi
- Department of Drug Metabolism and Pharmacokinetics (R.H.T.) and Department of OMNI Bioinformatics (W.F.F.), Genentech, Inc., South San Francisco, California; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, University of Florida at Lake Nona, Orlando, Florida (J.B., S.S.); Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland (N.Q., N.P., S.F.); Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada (A.D.S., A.C.C.)
| | - William F Forrest
- Department of Drug Metabolism and Pharmacokinetics (R.H.T.) and Department of OMNI Bioinformatics (W.F.F.), Genentech, Inc., South San Francisco, California; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, University of Florida at Lake Nona, Orlando, Florida (J.B., S.S.); Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland (N.Q., N.P., S.F.); Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada (A.D.S., A.C.C.)
| | - Alexander D Smith
- Department of Drug Metabolism and Pharmacokinetics (R.H.T.) and Department of OMNI Bioinformatics (W.F.F.), Genentech, Inc., South San Francisco, California; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, University of Florida at Lake Nona, Orlando, Florida (J.B., S.S.); Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland (N.Q., N.P., S.F.); Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada (A.D.S., A.C.C.)
| | - Justine Badee
- Department of Drug Metabolism and Pharmacokinetics (R.H.T.) and Department of OMNI Bioinformatics (W.F.F.), Genentech, Inc., South San Francisco, California; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, University of Florida at Lake Nona, Orlando, Florida (J.B., S.S.); Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland (N.Q., N.P., S.F.); Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada (A.D.S., A.C.C.)
| | - NaHong Qiu
- Department of Drug Metabolism and Pharmacokinetics (R.H.T.) and Department of OMNI Bioinformatics (W.F.F.), Genentech, Inc., South San Francisco, California; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, University of Florida at Lake Nona, Orlando, Florida (J.B., S.S.); Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland (N.Q., N.P., S.F.); Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada (A.D.S., A.C.C.)
| | - Stephan Schmidt
- Department of Drug Metabolism and Pharmacokinetics (R.H.T.) and Department of OMNI Bioinformatics (W.F.F.), Genentech, Inc., South San Francisco, California; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, University of Florida at Lake Nona, Orlando, Florida (J.B., S.S.); Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland (N.Q., N.P., S.F.); Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada (A.D.S., A.C.C.)
| | - Abby C Collier
- Department of Drug Metabolism and Pharmacokinetics (R.H.T.) and Department of OMNI Bioinformatics (W.F.F.), Genentech, Inc., South San Francisco, California; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, University of Florida at Lake Nona, Orlando, Florida (J.B., S.S.); Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland (N.Q., N.P., S.F.); Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada (A.D.S., A.C.C.)
| | - Neil Parrott
- Department of Drug Metabolism and Pharmacokinetics (R.H.T.) and Department of OMNI Bioinformatics (W.F.F.), Genentech, Inc., South San Francisco, California; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, University of Florida at Lake Nona, Orlando, Florida (J.B., S.S.); Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland (N.Q., N.P., S.F.); Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada (A.D.S., A.C.C.)
| | - Stephen Fowler
- Department of Drug Metabolism and Pharmacokinetics (R.H.T.) and Department of OMNI Bioinformatics (W.F.F.), Genentech, Inc., South San Francisco, California; Department of Pharmaceutics, Center for Pharmacometrics and Systems Pharmacology, University of Florida at Lake Nona, Orlando, Florida (J.B., S.S.); Pharmaceutical Research and Early Development, Roche Innovation Centre Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland (N.Q., N.P., S.F.); Faculty of Pharmaceutical Sciences, The University of British Columbia, Vancouver, British Columbia, Canada (A.D.S., A.C.C.)
| |
Collapse
|
5
|
Miners JO, Rowland A, Novak JJ, Lapham K, Goosen TC. Evidence-based strategies for the characterisation of human drug and chemical glucuronidation in vitro and UDP-glucuronosyltransferase reaction phenotyping. Pharmacol Ther 2020; 218:107689. [PMID: 32980440 DOI: 10.1016/j.pharmthera.2020.107689] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 09/17/2020] [Accepted: 09/18/2020] [Indexed: 12/26/2022]
Abstract
Enzymes of the UDP-glucuronosyltransferase (UGT) superfamily contribute to the elimination of drugs from almost all therapeutic classes. Awareness of the importance of glucuronidation as a drug clearance mechanism along with increased knowledge of the enzymology of drug and chemical metabolism has stimulated interest in the development and application of approaches for the characterisation of human drug glucuronidation in vitro, in particular reaction phenotyping (the fractional contribution of the individual UGT enzymes responsible for the glucuronidation of a given drug), assessment of metabolic stability, and UGT enzyme inhibition by drugs and other xenobiotics. In turn, this has permitted the implementation of in vitro - in vivo extrapolation approaches for the prediction of drug metabolic clearance, intestinal availability, and drug-drug interaction liability, all of which are of considerable importance in pre-clinical drug development. Indeed, regulatory agencies (FDA and EMA) require UGT reaction phenotyping for new chemical entities if glucuronidation accounts for ≥25% of total metabolism. In vitro studies are most commonly performed with recombinant UGT enzymes and human liver microsomes (HLM) as the enzyme sources. Despite the widespread use of in vitro approaches for the characterisation of drug and chemical glucuronidation by HLM and recombinant enzymes, evidence-based guidelines relating to experimental approaches are lacking. Here we present evidence-based strategies for the characterisation of drug and chemical glucuronidation in vitro, and for UGT reaction phenotyping. We anticipate that the strategies will inform practice, encourage development of standardised experimental procedures where feasible, and guide ongoing research in the field.
Collapse
Affiliation(s)
- John O Miners
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, College of Medicine and Public Health, Flinders University, Adelaide, Australia.
| | - Andrew Rowland
- Department of Clinical Pharmacology and Flinders Centre for Innovation in Cancer, College of Medicine and Public Health, Flinders University, Adelaide, Australia
| | | | | | | |
Collapse
|