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Subash S, Singh DK, Ahire D, Khojasteh SC, Murray BP, Zientek MA, Jones RS, Kulkarni P, Zubair F, Smith BJ, Heyward S, Leeder JS, Prasad B. Ontogeny of Human Liver Aldehyde Oxidase: Developmental Changes and Implications for Drug Metabolism. Mol Pharm 2024; 21:2740-2750. [PMID: 38717252 DOI: 10.1021/acs.molpharmaceut.3c01147] [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] [Indexed: 06/04/2024]
Abstract
Despite the increasing importance of aldehyde oxidase (AO) in the drug metabolism of clinical candidates, ontogeny data for AO are limited. The objective of our study was to characterize the age-dependent AO content and activity in the human liver cytosolic fraction (HLC) and human hepatocytes (HH). HLC (n = 121 donors) and HH (n = 50 donors) were analyzed for (1) AO protein content by quantitative proteomics and (2) enzyme activity using carbazeran as a probe substrate. AO activity showed high technical variability and poor correlation with the content in HLC samples, whereas hepatocyte samples showed a strong correlation between the content and activity. Similarly, AO content and activity showed no significant age-dependent differences in HLC samples, whereas the average AO content and activity in hepatocytes increased significantly (∼20-40-fold) from the neonatal levels (0-28 days). Based on the hepatocyte data, the age at which 50% of the adult AO content is reached (age50) was 3.15 years (0.32-13.97 years, 95% CI). Metabolite profiling of carbazeran revealed age-dependent metabolic switching and the role of non-AO mechanisms (glucuronidation and desmethylation) in carbazeran elimination. The content-activity correlation in hepatocytes improved significantly (R2 = 0.95; p < 0.0001) in samples showing <10% contribution of glucuronidation toward the overall metabolism, confirming that AO-mediated oxidation and glucuronidation are the key routes of carbazeran metabolism. Considering the confounding effect of glucuronidation on AO activity, AO content-based ontogeny data are a more direct reflection of developmental changes in protein expression. The comprehensive ontogeny data of AO in HH samples are more reliable than HLC data, which are important for developing robust physiologically based pharmacokinetic models for predicting AO-mediated metabolism in children.
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Affiliation(s)
- Sandhya Subash
- College of Pharmacy and Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington 99202, United States
| | - Dilip K Singh
- College of Pharmacy and Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington 99202, United States
| | - Deepak Ahire
- College of Pharmacy and Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington 99202, United States
| | - S Cyrus Khojasteh
- Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, California 94080, United States
| | - Bernard P Murray
- Drug Metabolism, Gilead Sciences, Inc., Foster City, California 94404, United States
| | - Michael A Zientek
- Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Inc., San Diego, California 92121, United States
| | - Robert S Jones
- Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, California 94080, United States
| | - Priyanka Kulkarni
- Drug Metabolism and Pharmacokinetics, Takeda Pharmaceuticals, Inc., Cambridge, Massachusetts 02139, United States
| | - Faizan Zubair
- Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Inc., San Diego, California 92121, United States
| | - Bill J Smith
- Terminal Phase Consulting LLC, Colorado Springs, Colorado 94404, United States
| | - Scott Heyward
- BioIVT, Inc., Baltimore, Maryland 21227, United States
| | - J Steven Leeder
- Department of Pediatrics, Children's Mercy Hospital, Kansas City, Missouri 64108, United States
| | - Bhagwat Prasad
- College of Pharmacy and Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington 99202, United States
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Hammid A, Fallon JK, Vellonen KS, Lassila T, Reinisalo M, Urtti A, Gonzalez F, Tolonen A, Smith PC, Honkakoski P. Aldehyde oxidase 1 activity and protein expression in human, rabbit, and pig ocular tissues. Eur J Pharm Sci 2023; 191:106603. [PMID: 37827455 DOI: 10.1016/j.ejps.2023.106603] [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: 06/07/2023] [Revised: 09/18/2023] [Accepted: 10/06/2023] [Indexed: 10/14/2023]
Abstract
Aldehyde oxidase (AOX) is a cytosolic drug-metabolizing enzyme which has attracted increasing attention in drug development due to its high hepatic expression, broad substrate profile and species differences. In contrast, there is limited information on the presence and activity of AOX in extrahepatic tissues including ocular tissues. Because several ocular drugs are potential substrates for AOX, we performed a comprehensive analysis of the AOX1 expression and activity profile in seven ocular tissues from humans, rabbits, and pigs. AOX activities were determined using optimized assays for the established human AOX1 probe substrates 4-dimethylamino-cinnamaldehyde (DMAC) and phthalazine. Inhibition studies were undertaken in conjunctival and retinal homogenates using well-established human AOX1 inhibitors menadione and chlorpromazine. AOX1 protein contents were quantitated with targeted proteomics and confirmed by immunoblotting. Overall, DMAC oxidation rates varied over 10-fold between species (human ˃˃ rabbit ˃ pig) and showed 2- to 6-fold differences between tissues from the same species. Menadione seemed a more potent inhibitor of DMAC oxidation across species than chlorpromazine. Human AOX1 protein levels were highest in the conjunctiva, followed by most posterior tissues, whereas anterior tissues showed low levels. The rabbit AOX1 expression was high in the conjunctiva, retinal pigment epithelial (RPE), and choroid while lower in the anterior tissues. Quantification of pig AOX1 was not successful but immunoblotting confirmed the presence of AOX1 in all species. DMAC oxidation rates and AOX1 contents correlated quite well in humans and rabbits. This study provides, for the first time, insights into the ocular expression and activity of AOX1 among multiple species.
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Affiliation(s)
- Anam Hammid
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1 C, FI-70210 Kuopio, Finland.
| | - John K Fallon
- Division of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Campus Box 7355, Chapel Hill, NC 27599-7355, United States
| | - Kati-Sisko Vellonen
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1 C, FI-70210 Kuopio, Finland
| | - Toni Lassila
- Admescope Ltd, Typpitie 1, FI-90620 Oulu, Finland
| | - Mika Reinisalo
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1 C, FI-70210 Kuopio, Finland
| | - Arto Urtti
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1 C, FI-70210 Kuopio, Finland; Faculty of Pharmacy, University of Helsinki, Viikinkaari 5 E, FI-00790 Helsinki, Finland
| | - Francisco Gonzalez
- Center for Research in Molecular Medicine and Chronic Diseases (CIMUS), University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; Service of Ophthalmology, University Hospital of Santiago de Compostela, and Fundacion Instituto de Investigacion Sanitaria de Santiago de Compostela (FIDIS), 15706 Santiago de Compostela, Spain
| | - Ari Tolonen
- Admescope Ltd, Typpitie 1, FI-90620 Oulu, Finland
| | - Philip C Smith
- Division of Pharmacoengineering and Molecular Pharmaceutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Campus Box 7355, Chapel Hill, NC 27599-7355, United States
| | - Paavo Honkakoski
- School of Pharmacy, University of Eastern Finland, Yliopistonranta 1 C, FI-70210 Kuopio, Finland
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3
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Izat N, Bolleddula J, Abbasi A, Cheruzel L, Jones RS, Moss D, Ortega-Muro F, Parmentier Y, Peterkin VC, Tian DD, Venkatakrishnan K, Zientek MA, Barber J, Houston JB, Galetin A, Scotcher D. Challenges and Opportunities for In Vitro-In Vivo Extrapolation of Aldehyde Oxidase-Mediated Clearance: Toward a Roadmap for Quantitative Translation. Drug Metab Dispos 2023; 51:1591-1606. [PMID: 37751998 DOI: 10.1124/dmd.123.001436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 08/25/2023] [Accepted: 08/28/2023] [Indexed: 09/28/2023] Open
Abstract
Underestimation of aldehyde oxidase (AO)-mediated clearance by current in vitro assays leads to uncertainty in human dose projections, thereby reducing the likelihood of success in drug development. In the present study we first evaluated the current drug development practices for AO substrates. Next, the overall predictive performance of in vitro-in vivo extrapolation of unbound hepatic intrinsic clearance (CLint,u) and unbound hepatic intrinsic clearance by AO (CLint,u,AO) was assessed using a comprehensive literature database of in vitro (human cytosol/S9/hepatocytes) and in vivo (intravenous/oral) data collated for 22 AO substrates (total of 100 datapoints from multiple studies). Correction for unbound fraction in the incubation was done by experimental data or in silico predictions. The fraction metabolized by AO (fmAO) determined via in vitro/in vivo approaches was found to be highly variable. The geometric mean fold errors (gmfe) for scaled CLint,u (mL/min/kg) were 10.4 for human hepatocytes, 5.6 for human liver cytosols, and 5.0 for human liver S9, respectively. Application of these gmfe's as empirical scaling factors improved predictions (45%-57% within twofold of observed) compared with no correction (11%-27% within twofold), with the scaling factors qualified by leave-one-out cross-validation. A road map for quantitative translation was then proposed following a critical evaluation on the in vitro and clinical methodology to estimate in vivo fmAO In conclusion, the study provides the most robust system-specific empirical scaling factors to date as a pragmatic approach for the prediction of in vivo CLint,u,AO in the early stages of drug development. SIGNIFICANCE STATEMENT: Confidence remains low when predicting in vivo clearance of AO substrates using in vitro systems, leading to de-prioritization of AO substrates from the drug development pipeline to mitigate risk of unexpected and costly in vivo impact. The current study establishes a set of empirical scaling factors as a pragmatic tool to improve predictability of in vivo AO clearance. Developing clinical pharmacology strategies for AO substrates by utilizing mass balance/clinical drug-drug interaction data will help build confidence in fmAO.
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Affiliation(s)
- Nihan Izat
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Jayaprakasam Bolleddula
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Armina Abbasi
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Lionel Cheruzel
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Robert S Jones
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Darren Moss
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Fatima Ortega-Muro
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Yannick Parmentier
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Vincent C Peterkin
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Dan-Dan Tian
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Karthik Venkatakrishnan
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Michael A Zientek
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Jill Barber
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - J Brian Houston
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Aleksandra Galetin
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
| | - Daniel Scotcher
- Centre for Applied Pharmacokinetic Research, The University of Manchester, Manchester, UK (N.I., Ji.B., J.B.H., A.G., D.S.); EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts (Ja.B., K.V.); Amgen Inc., South San Francisco, California (A.A.); Genentech, Inc., South San Francisco, California (L.C., R.S.J.); Janssen Pharmaceutical Companies of Johnson & Johnson, Beerse, Belgium (D.M.); GSK R&D, Tres Cantos, Madrid, Spain (F.O.M.); Technologie Servier, Orléans, France (Y.P.); AbbVie Inc., North Chicago, Illinois (V.C.P.); Eli Lilly and Company, Indianapolis, Indiana (D.-D.T.); and Takeda Pharmaceuticals Limited, San Diego, California (M.A.Z.)
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4
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Subash S, Singh DK, Ahire DS, Khojasteh SC, Murray BP, Zientek MA, Jones RS, Kulkarni P, Smith BJ, Heyward S, Cronin CN, Prasad B. Dissecting Parameters Contributing to the Underprediction of Aldehyde Oxidase-Mediated Metabolic Clearance of Drugs. Drug Metab Dispos 2023; 51:1362-1371. [PMID: 37429730 DOI: 10.1124/dmd.123.001379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 06/01/2023] [Accepted: 07/07/2023] [Indexed: 07/12/2023] Open
Abstract
We investigated the effect of variability and instability in aldehyde oxidase (AO) content and activity on the scaling of in vitro metabolism data. AO content and activity in human liver cytosol (HLC) and five recombinant human AO preparations (rAO) were determined using targeted proteomics and carbazeran oxidation assay, respectively. AO content was highly variable as indicated by the relative expression factor (REF; i.e., HLC to rAO content) ranging from 0.001 to 1.7 across different in vitro systems. The activity of AO in HLC degrades at a 10-fold higher rate in the presence of the substrate as compared with the activity performed after preincubation without substrate. To scale the metabolic activity from rAO to HLC, a protein-normalized activity factor (pnAF) was proposed wherein the activity was corrected by AO content, which revealed up to sixfold higher AO activity in HLC versus rAO systems. A similar value of pnAF was observed for another substrate, ripasudil. Physiologically based pharmacokinetic (PBPK) modeling revealed a significant additional clearance (CL; 66%), which allowed for the successful prediction of in vivo CL of four other substrates, i.e., O-benzyl guanine, BIBX1382, zaleplon, and zoniporide. For carbazeran, the metabolite identification study showed that the direct glucuronidation may be contributing to around 12% elimination. Taken together, this study identified differential protein content, instability of in vitro activity, role of additional AO clearance, and unaccounted metabolic pathways as plausible reasons for the underprediction of AO-mediated drug metabolism. Consideration of these factors and integration of REF and pnAF in PBPK models will allow better prediction of AO metabolism. SIGNIFICANCE STATEMENT: This study elucidated the plausible reasons for the underprediction of aldehyde oxidase (AO)-mediated drug metabolism and provided recommendations to address them. It demonstrated that integrating protein content and activity differences and accounting for the loss of AO activity, as well as consideration of extrahepatic clearance and additional pathways, would improve the in vitro to in vivo extrapolation of AO-mediated drug metabolism using physiologically based pharmacokinetic modeling.
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Affiliation(s)
- Sandhya Subash
- Department of Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington (S.S., D.K.S., D.S.A., B.P.); Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California (S.C.K., R.S.J.); Drug Metabolism, Gilead Sciences, Foster City, California (B.P.M., B.J.S.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, San Diego, California (M.A.Z.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Cambridge, Massachusetts (P.K.); BioIVT Inc., Baltimore, Maryland (S.H.); and Structural Biology and Protein Sciences, Pfizer Global Research & Development and Medical, La Jolla, California (C.N.C.)
| | - Dilip K Singh
- Department of Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington (S.S., D.K.S., D.S.A., B.P.); Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California (S.C.K., R.S.J.); Drug Metabolism, Gilead Sciences, Foster City, California (B.P.M., B.J.S.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, San Diego, California (M.A.Z.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Cambridge, Massachusetts (P.K.); BioIVT Inc., Baltimore, Maryland (S.H.); and Structural Biology and Protein Sciences, Pfizer Global Research & Development and Medical, La Jolla, California (C.N.C.)
| | - Deepak S Ahire
- Department of Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington (S.S., D.K.S., D.S.A., B.P.); Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California (S.C.K., R.S.J.); Drug Metabolism, Gilead Sciences, Foster City, California (B.P.M., B.J.S.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, San Diego, California (M.A.Z.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Cambridge, Massachusetts (P.K.); BioIVT Inc., Baltimore, Maryland (S.H.); and Structural Biology and Protein Sciences, Pfizer Global Research & Development and Medical, La Jolla, California (C.N.C.)
| | - S Cyrus Khojasteh
- Department of Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington (S.S., D.K.S., D.S.A., B.P.); Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California (S.C.K., R.S.J.); Drug Metabolism, Gilead Sciences, Foster City, California (B.P.M., B.J.S.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, San Diego, California (M.A.Z.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Cambridge, Massachusetts (P.K.); BioIVT Inc., Baltimore, Maryland (S.H.); and Structural Biology and Protein Sciences, Pfizer Global Research & Development and Medical, La Jolla, California (C.N.C.)
| | - Bernard P Murray
- Department of Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington (S.S., D.K.S., D.S.A., B.P.); Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California (S.C.K., R.S.J.); Drug Metabolism, Gilead Sciences, Foster City, California (B.P.M., B.J.S.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, San Diego, California (M.A.Z.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Cambridge, Massachusetts (P.K.); BioIVT Inc., Baltimore, Maryland (S.H.); and Structural Biology and Protein Sciences, Pfizer Global Research & Development and Medical, La Jolla, California (C.N.C.)
| | - Michael A Zientek
- Department of Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington (S.S., D.K.S., D.S.A., B.P.); Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California (S.C.K., R.S.J.); Drug Metabolism, Gilead Sciences, Foster City, California (B.P.M., B.J.S.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, San Diego, California (M.A.Z.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Cambridge, Massachusetts (P.K.); BioIVT Inc., Baltimore, Maryland (S.H.); and Structural Biology and Protein Sciences, Pfizer Global Research & Development and Medical, La Jolla, California (C.N.C.)
| | - Robert S Jones
- Department of Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington (S.S., D.K.S., D.S.A., B.P.); Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California (S.C.K., R.S.J.); Drug Metabolism, Gilead Sciences, Foster City, California (B.P.M., B.J.S.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, San Diego, California (M.A.Z.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Cambridge, Massachusetts (P.K.); BioIVT Inc., Baltimore, Maryland (S.H.); and Structural Biology and Protein Sciences, Pfizer Global Research & Development and Medical, La Jolla, California (C.N.C.)
| | - Priyanka Kulkarni
- Department of Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington (S.S., D.K.S., D.S.A., B.P.); Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California (S.C.K., R.S.J.); Drug Metabolism, Gilead Sciences, Foster City, California (B.P.M., B.J.S.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, San Diego, California (M.A.Z.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Cambridge, Massachusetts (P.K.); BioIVT Inc., Baltimore, Maryland (S.H.); and Structural Biology and Protein Sciences, Pfizer Global Research & Development and Medical, La Jolla, California (C.N.C.)
| | - Bill J Smith
- Department of Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington (S.S., D.K.S., D.S.A., B.P.); Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California (S.C.K., R.S.J.); Drug Metabolism, Gilead Sciences, Foster City, California (B.P.M., B.J.S.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, San Diego, California (M.A.Z.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Cambridge, Massachusetts (P.K.); BioIVT Inc., Baltimore, Maryland (S.H.); and Structural Biology and Protein Sciences, Pfizer Global Research & Development and Medical, La Jolla, California (C.N.C.)
| | - Scott Heyward
- Department of Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington (S.S., D.K.S., D.S.A., B.P.); Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California (S.C.K., R.S.J.); Drug Metabolism, Gilead Sciences, Foster City, California (B.P.M., B.J.S.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, San Diego, California (M.A.Z.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Cambridge, Massachusetts (P.K.); BioIVT Inc., Baltimore, Maryland (S.H.); and Structural Biology and Protein Sciences, Pfizer Global Research & Development and Medical, La Jolla, California (C.N.C.)
| | - Ciarán N Cronin
- Department of Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington (S.S., D.K.S., D.S.A., B.P.); Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California (S.C.K., R.S.J.); Drug Metabolism, Gilead Sciences, Foster City, California (B.P.M., B.J.S.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, San Diego, California (M.A.Z.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Cambridge, Massachusetts (P.K.); BioIVT Inc., Baltimore, Maryland (S.H.); and Structural Biology and Protein Sciences, Pfizer Global Research & Development and Medical, La Jolla, California (C.N.C.)
| | - Bhagwat Prasad
- Department of Pharmaceutical Sciences, Washington State University (WSU), Spokane, Washington (S.S., D.K.S., D.S.A., B.P.); Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California (S.C.K., R.S.J.); Drug Metabolism, Gilead Sciences, Foster City, California (B.P.M., B.J.S.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, San Diego, California (M.A.Z.); Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Cambridge, Massachusetts (P.K.); BioIVT Inc., Baltimore, Maryland (S.H.); and Structural Biology and Protein Sciences, Pfizer Global Research & Development and Medical, La Jolla, California (C.N.C.)
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5
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Jackson KD, Argikar UA, Cho S, Crouch RD, Driscoll JP, Heck C, King L, Maw HH, Miller GP, Seneviratne HK, Wang S, Wei C, Zhang D, Khojasteh SC. Bioactivation and Reactivity Research Advances - 2021 year in review. Drug Metab Rev 2022; 54:246-281. [PMID: 35876116 DOI: 10.1080/03602532.2022.2097254] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
This year's review on bioactivation and reactivity began as a part of the annual review on biotransformation and bioactivation led by Cyrus Khojasteh (Khojasteh et al., 2021, 2020, 2019, 2018, 2017; Baillie et al., 2016). Increased contributions from experts in the field led to the development of a stand alone edition for the first time this year focused specifically on bioactivation and reactivity. Our objective for this review is to highlight and share articles which we deem influential and significant regarding the development of covalent inhibitors, mechanisms of reactive metabolite formation, enzyme inactivation, and drug safety. Based on the selected articles, we created two sections: (1) reactivity and enzyme inactivation, and (2) bioactivation mechanisms and safety (Table 1). Several biotransformation experts have contributed to this effort from academic and industry settings.
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Affiliation(s)
- Klarissa D Jackson
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, Chapel Hill, NC 27599, USA
| | - Upendra A Argikar
- Non-clinical Development, Bill & Melinda Gates Medical Research Institute, Cambridge, MA, 02139, USA
| | - Sungjoon Cho
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, CA, 94080, USA
| | - Rachel D Crouch
- Department of Pharmaceutical Sciences, Lipscomb University College of Pharmacy and Health Sciences, Nashville, TN, 37203, USA
| | - James P Driscoll
- Department of Drug Metabolism and Pharmacokinetics. Bristol Myers Squibb, Brisbane, CA, 94005, USA
| | - Carley Heck
- Medicine Design, Pfizer Worldwide Research, Development and Medical, Eastern Point Road, Groton, Connecticut, USA
| | - Lloyd King
- Department of DMPK, UCB Biopharma UK, 216 Bath Road, Slough, SL1 3WE, UK
| | - Hlaing Holly Maw
- Drug Metabolism and Pharmacokinetics, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, 06877, USA
| | - Grover P Miller
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, 4301 W Markham St Slot 516, Little Rock, Arkansas, 72205, USA
| | - Herana Kamal Seneviratne
- Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205
| | - Shuai Wang
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, CA, 94080, USA
| | - Cong Wei
- Drug Metabolism & Pharmacokinetics, Biogen Inc., Cambridge, MA, 02142, USA
| | - Donglu Zhang
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, CA, 94080, USA
| | - S Cyrus Khojasteh
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
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6
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Khojasteh SC, Argikar UA, Cho S, Crouch R, Heck CJS, Johnson KM, Kalgutkar AS, King L, Maw HH, Seneviratne HK, Wang S, Wei C, Zhang D, Jackson KD. Biotransformation Novel Advances - 2021 year in review. Drug Metab Rev 2022; 54:207-245. [PMID: 35815654 DOI: 10.1080/03602532.2022.2097253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Biotransformation field is constantly evolving with new molecular structures and discoveries of metabolic pathways that impact efficacy and safety. Recent review by Kramlinger et al (2022) nicely captures the future (and the past) of highly impactful science of biotransformation (see the first article). Based on the selected articles, this review was categorized into three sections: (1) new modalities biotransformation, (2) drug discovery biotransformation, and (3) drug development biotransformation (Table 1).
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Affiliation(s)
- S Cyrus Khojasteh
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Upendra A Argikar
- Non-clinical Development, Bill & Melinda Gates Medical Research Institute, Cambridge, MA 02139, USA
| | - Sungjoon Cho
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Rachel Crouch
- Department of Pharmaceutical Sciences, Lipscomb University College of Pharmacy and Health Sciences, Nashville, TN, 37203, USA
| | - Carley J S Heck
- Medicine Design, Pfizer Worldwide Research, Development and Medical, Eastern Point Road, Groton, Connecticut, USA
| | - Kevin M Johnson
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Amit S Kalgutkar
- Medicine Design, Pfizer Worldwide Research, Development and Medical, Cambridge, MA 02139, USA
| | - Lloyd King
- Quantitative Drug Discovery, UCB Biopharma UK, 216 Bath Road, Slough, SL1 3WE, UK
| | - Hlaing Holly Maw
- Drug Metabolism and Pharmacokinetics, Boehringer Ingelheim Pharmaceuticals, Inc., Ridgefield, CT, 06877, USA
| | - Herana Kamal Seneviratne
- Department of Pharmacology and Molecular Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Shuai Wang
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Cong Wei
- Drug Metabolism & Pharmacokinetics, Biogen Inc., Cambridge, MA, 02142, USA
| | - Donglu Zhang
- Department of Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, MS412a, South San Francisco, CA, 94080, USA
| | - Klarissa D Jackson
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, Chapel Hill, NC 27599, USA
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7
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Rendić SP, Crouch RD, Guengerich FP. Roles of selected non-P450 human oxidoreductase enzymes in protective and toxic effects of chemicals: review and compilation of reactions. Arch Toxicol 2022; 96:2145-2246. [PMID: 35648190 PMCID: PMC9159052 DOI: 10.1007/s00204-022-03304-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 04/26/2022] [Indexed: 12/17/2022]
Abstract
This is an overview of the metabolic reactions of drugs, natural products, physiological compounds, and other (general) chemicals catalyzed by flavin monooxygenase (FMO), monoamine oxidase (MAO), NAD(P)H quinone oxidoreductase (NQO), and molybdenum hydroxylase enzymes (aldehyde oxidase (AOX) and xanthine oxidoreductase (XOR)), including roles as substrates, inducers, and inhibitors of the enzymes. The metabolism and bioactivation of selected examples of each group (i.e., drugs, “general chemicals,” natural products, and physiological compounds) are discussed. We identified a higher fraction of bioactivation reactions for FMO enzymes compared to other enzymes, predominately involving drugs and general chemicals. With MAO enzymes, physiological compounds predominate as substrates, and some products lead to unwanted side effects or illness. AOX and XOR enzymes are molybdenum hydroxylases that catalyze the oxidation of various heteroaromatic rings and aldehydes and the reduction of a number of different functional groups. While neither of these two enzymes contributes substantially to the metabolism of currently marketed drugs, AOX has become a frequently encountered route of metabolism among drug discovery programs in the past 10–15 years. XOR has even less of a role in the metabolism of clinical drugs and preclinical drug candidates than AOX, likely due to narrower substrate specificity.
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Affiliation(s)
| | - Rachel D Crouch
- College of Pharmacy and Health Sciences, Lipscomb University, Nashville, TN, 37204, USA
| | - F Peter Guengerich
- Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, TN, 37232-0146, USA
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8
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Busby RW, Cai X, Yang S, Ramos L, Venkatarangan L, Shen H, Wax S, Sadeque AJM, De Colle C. Metopimazine is primarily metabolized by a liver amidase in humans. Pharmacol Res Perspect 2021; 10:e00903. [PMID: 34918875 PMCID: PMC8929364 DOI: 10.1002/prp2.903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 11/18/2021] [Indexed: 11/10/2022] Open
Abstract
Metopimazine (MPZ) is a peripherally restricted, dopamine D2 receptor antagonist used for four decades to treat acute nausea and vomiting. MPZ is currently under clinical investigation for the treatment of gastroparesis (GP). MPZ undergoes high first-pass metabolism that produces metopimazine acid (MPZA), the major circulating metabolite in humans. Despite a long history of use, the enzymes involved in the metabolism of MPZ have not been identified. Here we report a series of studies designed to identify potential MPZ metabolites in vitro, determine their clinical relevance in humans, and elucidate the enzymes responsible for their formation. The findings demonstrated that the formation of MPZA was primarily catalyzed by human liver microsomal amidase. Additionally, human liver cytosolic aldehyde oxidase (AO) catalyzes the formation of MPZA, in vitro, although to a much lesser extent. Neither cytochrome P450 enzymes nor flavin-monooxygenases (FMO) were involved in the formation MPZA, although two minor oxidative pathways were catalyzed by CYP3A4 and CYP2D6 in vitro. Analysis of plasma samples from subjects dosed 60 mg of MPZ verified that these oxidative pathways are very minor and that CYP enzyme involvement was negligible compared to microsomal amidase/hydrolase in overall MPZ metabolism in humans. The metabolism by liver amidase, an enzyme family not well defined in small molecule drug metabolism, with minimal metabolism by CYPs, differentiates this drug from current D2 antagonists used or in development for the treatment of GP.
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Affiliation(s)
| | | | | | | | | | | | - Stephen Wax
- Neurogastrx, Inc., Woburn, Massachusetts, USA
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9
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Numerical Methods for Modeling Enzyme Kinetics. Methods Mol Biol 2021; 2342:147-168. [PMID: 34272694 DOI: 10.1007/978-1-0716-1554-6_6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2023]
Abstract
Differential equations are used to describe time-dependent changes in enzyme kinetics and pharmacokinetics. Analytical and numerical methods can be used to solve differential equations. This chapter describes the use of numerical methods in solving differential equations and its applications in characterizing the complexities observed in enzyme kinetics. A discussion is included on the use of numerical methods to overcome limitations of explicit equations in the analysis of metabolism kinetics, reversible inhibition kinetics, and inactivation kinetics. The chapter describes the advantages of using numerical methods when Michaelis-Menten assumptions do not hold.
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10
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Garrido C, Leimkühler S. The Inactivation of Human Aldehyde Oxidase 1 by Hydrogen Peroxide and Superoxide. Drug Metab Dispos 2021; 49:729-735. [PMID: 34183377 DOI: 10.1124/dmd.121.000549] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2020] [Accepted: 06/21/2021] [Indexed: 12/14/2022] Open
Abstract
Mammalian aldehyde oxidases (AOX) are molybdo-flavoenzymes of pharmacological and pathophysiologic relevance that are involved in phase I drug metabolism and, as a product of their enzymatic activity, are also involved in the generation of reactive oxygen species. So far, the physiologic role of aldehyde oxidase 1 in the human body remains unknown. The human enzyme hAOX1 is characterized by a broad substrate specificity, oxidizing aromatic/aliphatic aldehydes into their corresponding carboxylic acids, and hydroxylating various heteroaromatic rings. The enzyme uses oxygen as terminal electron acceptor to produce hydrogen peroxide and superoxide during turnover. Since hAOX1 and, in particular, some natural variants produce not only H2O2 but also high amounts of superoxide, we investigated the effect of both ROS molecules on the enzymatic activity of hAOX1 in more detail. We compared hAOX1 to the high-O2 .--producing natural variant L438V for their time-dependent inactivation with H2O2/O2 .- during substrate turnover. We show that the inactivation of the hAOX1 wild-type enzyme is mainly based on the production of hydrogen peroxide, whereas for the variant L438V, both hydrogen peroxide and superoxide contribute to the time-dependent inactivation of the enzyme during turnover. Further, the level of inactivation was revealed to be substrate-dependent: using substrates with higher turnover numbers resulted in a faster inactivation of the enzymes. Analysis of the inactivation site of the enzyme identified a loss of the terminal sulfido ligand at the molybdenum active site by the produced ROS during turnover. SIGNIFICANCE STATEMENT: This work characterizes the substrate-dependent inactivation of human aldehyde oxidase 1 under turnover by reactive oxygen species and identifies the site of inactivation. The role of ROS in the inhibition of human aldehyde oxidase 1 will have a high impact on future studies.
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Affiliation(s)
- Claudia Garrido
- Institute of Biochemistry and Biology, Department of Molecular Enzymology, University of Potsdam, Potsdam, Germany
| | - Silke Leimkühler
- Institute of Biochemistry and Biology, Department of Molecular Enzymology, University of Potsdam, Potsdam, Germany
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11
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Kozminski KD, Selimkhanov J, Heyward S, Zientek MA. Contribution of Extrahepatic Aldehyde Oxidase Activity to Human Clearance. Drug Metab Dispos 2021; 49:743-749. [PMID: 34162687 DOI: 10.1124/dmd.120.000313] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 06/10/2021] [Indexed: 11/22/2022] Open
Abstract
Aldehyde oxidase (AOX) is a soluble, cytosolic enzyme that metabolizes various N-heterocyclic compounds and organic aldehydes. It has wide tissue distribution with highest levels found in liver, kidney, and lung. Human clearance projections of AOX substrates by in vitro assessments in isolated liver fractions (cytosol, S9) and even hepatocytes have been largely underpredictive of clinical outcomes. Various hypotheses have been suggested as to why this is the case. One explanation is that extrahepatic AOX expression contributes measurably to AOX clearance and is at least partially responsible for the often observed underpredictions. Although AOX expression has been confirmed in several extrahepatic tissues, activities therein and potential contribution to overall human clearance have not been thoroughly studied. In this work, the AOX enzyme activity using the S9 fractions of select extrahepatic human tissues (kidney, lung, vasculature, and intestine) were measured using carbazeran as a probe substrate. Measured activities were scaled to a whole-body clearance using best-available parameters and compared with liver S9 fractions. Here, the combined scaled AOX clearance obtained from the kidney, lung, vasculature, and intestine is very low and amounted to <1% of liver. This work suggests that AOX metabolism from extrahepatic sources plays little role in the underprediction of activity in human. One of the notable outcomes of this work has been the first direct demonstration of AOX activity in human vasculature. SIGNIFICANCE STATEMENT: This work demonstrates aldehyde oxidase (AOX) activity is measurable in a variety of extrahepatic human tissues, including vasculature, yet activities and potential contributions to human clearance are relatively low and insignificant when compared with the liver. Additionally, the modeling of the tissue-specific in vitro kinetic data suggests that AOX may be influenced by the tissue it resides in and thus show different affinity, activity, and modified activity over time.
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Affiliation(s)
- Kirk D Kozminski
- Takeda Pharmaceuticals Limited, San Diego, California (K.D.K., J.S., M.A.Z.); and BioIVT, Baltimore, Maryland (S.H.)
| | - Jangir Selimkhanov
- Takeda Pharmaceuticals Limited, San Diego, California (K.D.K., J.S., M.A.Z.); and BioIVT, Baltimore, Maryland (S.H.)
| | - Scott Heyward
- Takeda Pharmaceuticals Limited, San Diego, California (K.D.K., J.S., M.A.Z.); and BioIVT, Baltimore, Maryland (S.H.)
| | - Michael A Zientek
- Takeda Pharmaceuticals Limited, San Diego, California (K.D.K., J.S., M.A.Z.); and BioIVT, Baltimore, Maryland (S.H.)
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12
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Soltani S, Hallaj-Nezhadi S, Rashidi MR. A comprehensive review of in silico approaches for the prediction and modulation of aldehyde oxidase-mediated drug metabolism: The current features, challenges and future perspectives. Eur J Med Chem 2021; 222:113559. [PMID: 34119831 DOI: 10.1016/j.ejmech.2021.113559] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 05/10/2021] [Accepted: 05/13/2021] [Indexed: 01/09/2023]
Abstract
The importance of aldehyde oxidase (AOX) in drug metabolism necessitates the development and application of the in silico rational drug design methods as an integral part of drug discovery projects for the early prediction and modulation of AOX-mediated metabolism. The current study represents an up-to-date and thorough review of in silico studies of AOX-mediated metabolism and modulation methods. In addition, the challenges and the knowledge gap that should be covered have been discussed. The importance of aldehyde oxidase (AOX) in drug metabolism is a hot topic in drug discovery. Different strategies are available for the modulation of the AOX-mediated metabolism of drugs. Application of the rational drug design methods as an integral part of drug discovery projects is necessary for the early prediction of AOX-mediated metabolism. The current study represents a comprehensive review of AOX molecular structure, AOX-mediated reactions, AOX substrates, AOX inhibition, approaches to modify AOX-mediated metabolism, prediction of AOX metabolism/substrates/inhibitors, and the AOX related structure-activity relationship (SAR) studies. Furthermore, an up-to-date and thorough review of in silico studies of AOX metabolism has been carried out. In addition, the challenges and the knowledge gap that should be covered in the scientific literature have been discussed in the current review.
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Affiliation(s)
- Somaieh Soltani
- Pharmaceutical Analysis Research Center and Pharmacy Faculty, Tabriz University of Medical Sciences, Tabriz, Iran.
| | - Somayeh Hallaj-Nezhadi
- Drug Applied Research Center and Pharmacy Faculty, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mohammad Reza Rashidi
- Stem Cell and Regenerative Medicine Institute and Pharmacy faculty, Tabriz University of Medical Sciences, Iran.
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13
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Dhuria NV, Haro B, Kapadia A, Lobo KA, Matusow B, Schleiff MA, Tantoy C, Sodhi JK. Recent developments in predicting CYP-independent metabolism. Drug Metab Rev 2021; 53:188-206. [PMID: 33941024 DOI: 10.1080/03602532.2021.1923728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
As lead optimization efforts have successfully reduced metabolic liabilities due to cytochrome P450 (CYP)-mediated metabolism, there has been an increase in the frequency of involvement of non-CYP enzymes in the metabolism of investigational compounds. Although there have been numerous notable advancements in the characterization of non-CYP enzymes with respect to their localization, reaction mechanisms, species differences and identification of typical substrates, accurate prediction of non-CYP-mediated clearance, with a particular emphasis with the difficulties in accounting for any extrahepatic contributions, remains a challenge. The current manuscript comprehensively summarizes the recent advancements in the prediction of drug metabolism and the in vitro to in vitro extrapolation of clearance for substrates of non-CYP drug metabolizing enzymes.
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Affiliation(s)
- Nikhilesh V Dhuria
- Department of Pharmaceutical Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Bianka Haro
- School of Medicine and Health Sciences, The George Washington University, Washington, DC, USA
| | - Amit Kapadia
- California Poison Control Center, University of California San Francisco, San Diego, CA, USA
| | | | - Bernice Matusow
- Department of Drug Metabolism and Pharmacokinetics, Plexxikon Inc, Berkeley, CA, USA
| | - Mary A Schleiff
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Christina Tantoy
- Department of Drug Metabolism and Pharmacokinetics, Plexxikon Inc, Berkeley, CA, USA
| | - Jasleen K Sodhi
- Department of Drug Metabolism and Pharmacokinetics, Plexxikon Inc, Berkeley, CA, USA.,Department of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California, San Francisco, CA, USA
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14
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Dangi B, Davydova NY, Maldonado MA, Abbasi A, Vavilov NE, Zgoda VG, Davydov DR. Effects of alcohol-induced increase in CYP2E1 content in human liver microsomes on the activity and cooperativity of CYP3A4. Arch Biochem Biophys 2021; 698:108677. [PMID: 33197431 PMCID: PMC7856178 DOI: 10.1016/j.abb.2020.108677] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 10/15/2020] [Accepted: 11/08/2020] [Indexed: 12/23/2022]
Abstract
We investigate the effect of the alcohol-induced increase in the content of CYP2E1 in human liver microsomes (HLM) on the function of CYP3A4. Membrane incorporation of the purified CYP2E1 into HLM considerably increases the rate of metabolism of 7-benzyloxyquinoline (BQ) and attenuates the homotropic cooperativity observed with this CYP3A4-specific substrate. It also eliminates the activating effect of α-naphthoflavone (ANF) seen in some HLM samples. To probe the physiological relevance of these effects, we compared three pooled preparations of HLM from normal donors (HLM-N) with a pooled preparation from ten heavy alcohol consumers (HLM-A). The composition of the P450 pool in all samples was characterized by the mass-spectrometric determination of 11 cytochrome P450 species. The fractional content of CYP2E1 in HLM-A was from 2.0 to 3.4 times higher than in HLM-N. In contrast, the content of CYP3A4 in HLM-A was the lowest among all samples. Despite that, HLM-A exhibited a much higher metabolism rate and a lower homotropic cooperativity with BQ, similar to CYP2E1-enriched HLM-N. To substantiate the involvement of interactions between CYP2E1 and CYP3A4 in these effects, we probed hetero-association of these proteins in CYP3A4-containing Supersomes™ with a technique employing CYP2E1 labeled with BODIPY-618 maleimide. These experiments evinced the interactions between the two enzymes and revealed an inhibitory effect of ANF on their association. Our results demonstrate that the functional properties of CYP3A4 are fundamentally dependent on the composition of the cytochrome P450 ensemble and suggest a possible impact of chronic alcohol exposure on the pharmacokinetics of drugs metabolized by CYP3A4.
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Affiliation(s)
- Bikash Dangi
- Department of Chemistry, Washington State University, Pullman, WA, 99164, USA
| | - Nadezhda Y Davydova
- Department of Chemistry, Washington State University, Pullman, WA, 99164, USA
| | - Marc A Maldonado
- Department of Chemistry, Washington State University, Pullman, WA, 99164, USA
| | - Armina Abbasi
- Department of Chemistry, Washington State University, Pullman, WA, 99164, USA
| | | | - Victor G Zgoda
- Institute of Biomedical Chemistry, Moscow, 119121, Russia; Skolkovo Institute of Science and Technology, 143025, Skolkovo, Moscow Region, Russia
| | - Dmitri R Davydov
- Department of Chemistry, Washington State University, Pullman, WA, 99164, USA.
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15
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Paragas EM, Choughule K, Jones JP, Barr JT. Enzyme Kinetics, Pharmacokinetics, and Inhibition of Aldehyde Oxidase. Methods Mol Biol 2021; 2342:257-284. [PMID: 34272698 DOI: 10.1007/978-1-0716-1554-6_10] [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] [Indexed: 06/13/2023]
Abstract
Aldehyde oxidase (AO) has emerged as an important drug metabolizing enzyme over the last decade. Several compounds have failed in the clinic because the clearance or toxicity was underestimated by preclinical species. Human AO is much more active than rodent AO, and dogs do not have functional AO. Metabolic products from AO-catalyzed oxidation are generally nonreactive and often they have much lower solubility. AO metabolism is not limited to oxidation as AO can also catalyze reduction of oxygen and nitrite. Reduction of oxygen leads to the reactive oxygen species (ROS) superoxide radical anion and hydrogen peroxide. Reduction of nitrite leads to the formation of nitric oxide with potential pharmacological implications. AO is also reported to catalyze the reductive metabolism of nitro-compounds, N-oxides, sulfoxides, isoxazoles, isothiazoles, nitrite, and hydroxamic acids. These reductive transformations may cause toxicity due to the formation of reactive metabolites. Moreover, the inhibition kinetics are complex, and multiple probe substrates should be used when assessing the potential for DDIs. Finally, AO appears to be amenable to computational predictions of both regioselectivity and rates of reaction, which holds promise for virtual screening.
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Affiliation(s)
- Erickson M Paragas
- Department of Pharmaceutical Sciences, Temple University School of Pharmacy, Philadelphia, PA, USA
| | - Kanika Choughule
- Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck, Boston, MA, USA
| | - Jeffrey P Jones
- Department of Chemistry, Washington State University, Pullman, WA, USA
| | - John T Barr
- Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck, South San Francisco, CA, USA.
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16
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Abbasi A, Joswig-Jones CA, Jones JP. Site-Directed Mutagenesis at the Molybdenum Pterin Cofactor Site of the Human Aldehyde Oxidase: Interrogating the Kinetic Differences Between Human and Cynomolgus Monkey. Drug Metab Dispos 2020; 48:1364-1371. [PMID: 33020066 DOI: 10.1124/dmd.120.000187] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 09/25/2020] [Indexed: 11/22/2022] Open
Abstract
The estimation of the drug clearance by aldehyde oxidase (AO) has been complicated because of this enzyme's atypical kinetics and species and substrate specificity. Since human AO (hAO) and cynomolgus monkey AO (mAO) have a 95.1% sequence identity, cynomolgus monkeys may be the best species for estimating AO clearance in humans. Here, O6-benzylguanine (O6BG) and dantrolene were used under anaerobic conditions, as oxidative and reductive substrates of AO, respectively, to compare and contrast the kinetics of these two species through numerical modeling. Whereas dantrolene reduction followed the same linear kinetics in both species, the oxidation rate of O6BG was also linear in mAO and did not follow the already established biphasic kinetics of hAO. In an attempt to determine why hAO and mAO are kinetically distinct, we have altered the hAO V811 and F885 amino acids at the oxidation site adjacent to the molybdenum pterin cofactor to the corresponding alanine and leucine in mAO, respectively. Although some shift to a more monkey-like kinetics was observed for the V811A mutant, five more mutations around the AO cofactors still need to be investigated for this purpose. In comparing the oxidative and reductive rates of metabolism under anaerobic conditions, we have come to the conclusion that despite having similar rates of reduction (4-fold difference), the oxidation rate in mAO is more than 50-fold slower than hAO. This finding implies that the presence of nonlinearity in AO kinetics is dependent upon the degree of imbalance between the rates of oxidation and reduction in this enzyme. SIGNIFICANCE STATEMENT: Although they have as much as 95.1% sequence identity, human and cynomolgus monkey aldehyde oxidase are kinetically distinct. Therefore, monkeys may not be good estimators of drug clearance in humans.
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Affiliation(s)
- Armina Abbasi
- Department of Chemistry, Washington State University, Pullman, Washington
| | | | - Jeffrey P Jones
- Department of Chemistry, Washington State University, Pullman, Washington
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17
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Sudsakorn S, Bahadduri P, Fretland J, Lu C. 2020 FDA Drug-drug Interaction Guidance: A Comparison Analysis and Action Plan by Pharmaceutical Industrial Scientists. Curr Drug Metab 2020; 21:403-426. [DOI: 10.2174/1389200221666200620210522] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Revised: 04/28/2020] [Accepted: 05/28/2020] [Indexed: 12/26/2022]
Abstract
Background:
In January 2020, the US FDA published two final guidelines, one entitled “In vitro Drug
Interaction Studies - Cytochrome P450 Enzyme- and Transporter-Mediated Drug Interactions Guidance for Industry”
and the other entitled “Clinical Drug Interaction Studies - Cytochrome P450 Enzyme- and Transporter-Mediated
Drug Interactions Guidance for Industry”. These were updated from the 2017 draft in vitro and clinical DDI
guidance.
Methods:
This study is aimed to provide an analysis of the updates along with a comparison of the DDI guidelines
published by the European Medicines Agency (EMA) and Japanese Pharmaceuticals and Medical Devices Agency
(PMDA) along with the current literature.
Results:
The updates were provided in the final FDA DDI guidelines and explained the rationale of those changes
based on the understanding from research and literature. Furthermore, a comparison among the FDA, EMA, and
PMDA DDI guidelines are presented in Tables 1, 2 and 3.
Conclusion:
The new 2020 clinical DDI guidance from the FDA now has even higher harmonization with the
guidance (or guidelines) from the EMA and PMDA. A comparison of DDI guidance from the FDA 2017, 2020,
EMA, and PMDA on CYP and transporter based DDI, mathematical models, PBPK, and clinical evaluation of DDI
is presented in this review.
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Affiliation(s)
- Sirimas Sudsakorn
- Department of Drug Metabolism and Pharmacokinetics, Sanofi-Genzyme, Waltham, MA 02451, United States
| | - Praveen Bahadduri
- Department of Drug Metabolism and Pharmacokinetics, Sanofi-Genzyme, Waltham, MA 02451, United States
| | - Jennifer Fretland
- Department of Drug Metabolism and Pharmacokinetics, Sanofi-Genzyme, Waltham, MA 02451, United States
| | - Chuang Lu
- Department of Drug Metabolism and Pharmacokinetics, Sanofi-Genzyme, Waltham, MA 02451, United States
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18
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Pena MÁ, Muriel J, Saiz-Rodríguez M, Borobia AM, Abad-Santos F, Frías J, Peiró AM. Effect of Cytochrome P450 and ABCB1 Polymorphisms on Imatinib Pharmacokinetics After Single-Dose Administration to Healthy Subjects. Clin Drug Investig 2020; 40:617-628. [PMID: 32415468 DOI: 10.1007/s40261-020-00921-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
BACKGROUND Validated genomic biomarkers for oncological drugs are expanding to improve targeted therapies. Pharmacogenetics research focusing on the mechanisms underlying imatinib suboptimal response might help to explain the different treatment outcomes and drug safety profiles. OBJECTIVE To investigate whether polymorphisms in genes encoding cytochrome P450 (CYP) enzymes and ABCB1 transporter affect imatinib pharmacokinetic parameters. METHODS A prospective, multicenter, pharmacogenetic pilot study was performed in the context of two separate oral imatinib bioequivalence clinical trials, which included 26 healthy volunteers. DNA was extracted in order to analyze polymorphisms in genes CYP2B6, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5 and ABCB1. Imatinib plasma concentrations were measured by HPLC-MS/MS. Pharmacokinetic parameters were calculated by non-compartmental methods using WinNonlin software. RESULTS Volunteers (n = 26; aged 24 ± 3 years; 69% male) presented regular pharmacokinetic imatinib data (concentration at 24 h, 436 ± 140 ng/mL and at 72 h, 40 ± 26 ng/mL; AUC0-72 32,868 ± 10,713 ng/mL⋅h; and Cmax 2074 ± 604 ng/mL). CYP2B6 516GT carriers showed a significant reduction of imatinib concentration at 24 h (23%, 391 ng/dL vs 511 ng/dL in 516GG carriers, p = 0.005) and elimination half-life (11%, 12.6 h vs 14.1 h in 516GG carriers, p = 0.041). Carriers for CYP3A4 (*22/*22, *1/*20 and *1/*22 variants) showed a reduced frequency of adverse events compared to *1/*1 carriers (0 vs 64%, p = 0.033). The other polymorphisms analyzed did not influence pharmacokinetics or drug toxicity. CONCLUSION CYP2B6 G516T and CYP3A4 *20,*22 polymorphisms could influence imatinib plasma concentrations and safety profile, after single-dose administration to healthy subjects. This finding needs to be confirmed before it is implemented in clinical practice in oncological patients under treatment with imatinib.
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Affiliation(s)
- María Ángeles Pena
- Alicante Clinical Trials Unit, Department of Health, Alicante-General Hospital, Alicante, Spain.,Clinical Pharmacology Service, Department of Health, Alicante-General Hospital, c/Pintor Baeza, 12, 03010, Alicante, Spain
| | - Javier Muriel
- Alicante Institute for Health and Biomedical Research (ISABIAL Foundation), Alicante, Spain
| | - Miriam Saiz-Rodríguez
- Clinical Pharmacology Service, University Hospital La Princesa, Autonomous University of Madrid, Madrid, Spain
| | - Alberto M Borobia
- Clinical Pharmacology Department, La Paz University Hospital, Universidad Autónoma de Madrid. IdiPAZ, Madrid, Spain
| | - Francisco Abad-Santos
- Clinical Pharmacology Service, University Hospital La Princesa, Autonomous University of Madrid, Madrid, Spain.,Institute Teófilo Hernando for Drug I+D, School of Medicine, Autonomous University of Madrid, Madrid, Spain
| | - Jesús Frías
- Clinical Pharmacology Department, La Paz University Hospital, Universidad Autónoma de Madrid. IdiPAZ, Madrid, Spain
| | - Ana M Peiró
- Alicante Clinical Trials Unit, Department of Health, Alicante-General Hospital, Alicante, Spain. .,Clinical Pharmacology Service, Department of Health, Alicante-General Hospital, c/Pintor Baeza, 12, 03010, Alicante, Spain.
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19
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Ryan AT, Pulukuri AJ, Davaritouchaee M, Abbasi A, Hendricksen AT, Opp LK, Burt AJ, Nielsen AE, Mancini RJ. Comparing the immunogenicity of glycosidase-directed resiquimod prodrugs mediated by cancer cell metabolism. Acta Pharmacol Sin 2020; 41:995-1004. [PMID: 32451412 PMCID: PMC7470892 DOI: 10.1038/s41401-020-0432-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Accepted: 04/26/2020] [Indexed: 12/16/2022] Open
Abstract
We have recently developed an enzyme-directed immunostimulant (EDI) prodrug motif, which is metabolized to active immunostimulant by cancer cells and, following drug efflux, activates nearby immune cells, resulting in immunogenicity. In this study, we synthesized several EDI prodrugs featuring an imidazoquinoline immunostimulant resiquimod (a Toll-like receptor 7/8 agonist) covalently modified with glycosidase enzyme-directing groups selected from substrates of β-glucuronidase, α-mannosidase, or β-galactosidase. We compared the glycosidase-dependent immunogenicity elicited by each EDI in RAW-Blue macrophages following conversion to active immunostimulant by complementary glycosidase. At a cellular level, we examined EDI metabolism across three cancer cell lines (B16 melanoma, TC2 prostate, and 4T1 breast cancer). Comparing the relative immunogenicity elicited by each EDI/cancer cell combination, we found that B16 cells produced the highest EDI prodrug immunogenicity, achieving >95% of that elicited by unmodified resiquimod, followed by TC2 and 4T1 cells (40% and 30%, respectively). Immunogenicity elicited was comparable for a given cell type and independent of the glycosidase substrate in the EDIs or differences in functional glycosidase activity between cell lines. Measuring drug efflux of the immunostimulant payload and efflux protein expression revealed that EDI/cancer cell-mediated immunogenicity was governed by efflux potential of the cancer cells. We determined that, following EDI conversion, immunostimulant efflux occurred through both P-glycoprotein-dependent and P-glycoprotein-independent transport mechanisms. Overall, this study highlights the broad ability of EDIs to couple immunogenicity to the metabolism of many cancers that exhibit drug efflux and suggests that designing future generations of EDIs with immunostimulant payloads that are optimized for drug efflux could be particularly beneficial.
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Shah P, Siramshetty VB, Zakharov AV, Southall NT, Xu X, Nguyen DT. Predicting liver cytosol stability of small molecules. J Cheminform 2020; 12:21. [PMID: 33431020 PMCID: PMC7140498 DOI: 10.1186/s13321-020-00426-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 03/25/2020] [Indexed: 01/28/2023] Open
Abstract
Over the last few decades, chemists have become skilled at designing compounds that avoid cytochrome P (CYP) 450 mediated metabolism. Typical screening assays are performed in liver microsomal fractions and it is possible to overlook the contribution of cytosolic enzymes until much later in the drug discovery process. Few data exist on cytosolic enzyme-mediated metabolism and no reliable tools are available to chemists to help design away from such liabilities. In this study, we screened 1450 compounds for liver cytosol-mediated metabolic stability and extracted transformation rules that might help medicinal chemists in optimizing compounds with these liabilities. In vitro half-life data were collected by performing in-house experiments in mouse (CD-1 male) and human (mixed gender) cytosol fractions. Matched molecular pairs analysis was performed in conjunction with qualitative-structure activity relationship modeling to identify chemical structure transformations affecting cytosolic stability. The transformation rules were prospectively validated on the test set. In addition, selected rules were validated on a diverse chemical library and the resulting pairs were experimentally tested to confirm whether the identified transformations could be generalized. The validation results, comprising nearly 250 library compounds and corresponding half-life data, are made publicly available. The datasets were also used to generate in silico classification models, based on different molecular descriptors and machine learning methods, to predict cytosol-mediated liabilities. To the best of our knowledge, this is the first systematic in silico effort to address cytosolic enzyme-mediated liabilities.
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Affiliation(s)
- Pranav Shah
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD, 20850, USA
| | - Vishal B Siramshetty
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD, 20850, USA
| | - Alexey V Zakharov
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD, 20850, USA
| | - Noel T Southall
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD, 20850, USA
| | - Xin Xu
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD, 20850, USA
| | - Dac-Trung Nguyen
- National Center for Advancing Translational Sciences (NCATS), National Institutes of Health (NIH), 9800 Medical Center Drive, Rockville, MD, 20850, USA.
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21
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Yadav J, Paragas E, Korzekwa K, Nagar S. Time-dependent enzyme inactivation: Numerical analyses of in vitro data and prediction of drug-drug interactions. Pharmacol Ther 2020; 206:107449. [PMID: 31836452 PMCID: PMC6995442 DOI: 10.1016/j.pharmthera.2019.107449] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Cytochrome P450 (CYP) enzyme kinetics often do not conform to Michaelis-Menten assumptions, and time-dependent inactivation (TDI) of CYPs displays complexities such as multiple substrate binding, partial inactivation, quasi-irreversible inactivation, and sequential metabolism. Additionally, in vitro experimental issues such as lipid partitioning, enzyme concentrations, and inactivator depletion can further complicate the parameterization of in vitro TDI. The traditional replot method used to analyze in vitro TDI datasets is unable to handle complexities in CYP kinetics, and numerical approaches using ordinary differential equations of the kinetic schemes offer several advantages. Improvement in the parameterization of CYP in vitro kinetics has the potential to improve prediction of clinical drug-drug interactions (DDIs). This manuscript discusses various complexities in TDI kinetics of CYPs, and numerical approaches to model these complexities. The extrapolation of CYP in vitro TDI parameters to predict in vivo DDIs with static and dynamic modeling is discussed, along with a discussion on current gaps in knowledge and future directions to improve the prediction of DDI with in vitro data for CYP catalyzed drug metabolism.
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Affiliation(s)
- Jaydeep Yadav
- Amgen Inc., 360 Binney Street, Cambridge, MA 02142, United States; Department of Pharmaceutical Sciences, Temple University, Philadelphia, PA 19140, United States
| | - Erickson Paragas
- Department of Pharmaceutical Sciences, Temple University, Philadelphia, PA 19140, United States
| | - Ken Korzekwa
- Department of Pharmaceutical Sciences, Temple University, Philadelphia, PA 19140, United States
| | - Swati Nagar
- Department of Pharmaceutical Sciences, Temple University, Philadelphia, PA 19140, United States.
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22
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Rodgers JT, Jones JP. Numerical Analysis of Time-Dependent Inhibition by MDMA. Drug Metab Dispos 2019; 48:1-7. [PMID: 31641009 DOI: 10.1124/dmd.119.089268] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 10/12/2019] [Indexed: 01/08/2023] Open
Abstract
Methylenedioxymethamphetamine (MDMA) is a known drug of abuse and schedule 1 narcotic under the Controlled Substances Act. Previous pharmacokinetic work on MDMA used classic linearization techniques to conclude irreversible mechanism-based inhibition of CYP2D6. The current work challenges this outcome by assessing the possibility of two alternative reversible kinetic inhibition mechanisms known as the quasi-irreversible (QI) model and equilibrium model (EM). In addition, progress curve experiments were used to investigate the residual metabolism of MDMA by liver microsomes and CYP2D6 baculosomes over incubation periods up to 30 minutes. These experiments revealed activity in a terminal linear phase at the fractional rates with respect to initial turnover of 0.0354 ± 0.0089 in human liver microsomes and 0.0114 ± 0.0025 in baculosomes. Numerical model fits to percentage of remaining activity (PRA) data were consistent with progress curve modeling results, wherein an irreversible inhibition pathway was found unnecessary for good fit scoring. Both QI and EM kinetic mechanisms fit the PRA data well, although in CYP2D6 baculosomes the inclusion of an irreversible inactivation pathway did not allow for convergence to a reasonable fit. The kinetic complexity accessible to numerical modeling has been used to determine that MDMA is not an irreversible inactivator of CYP2D6, and instead follows what can be generally referred to as slowly reversible inhibition. SIGNIFICANCE STATEMENT: The work herein describes the usage of computational models to delineate between irreversible and slowly reversible time-dependent inhibition. Such models are used in the paper to analyze MDMA and classify it as a reversible time-dependent inhibitor.
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Affiliation(s)
- John T Rodgers
- Department of Chemistry, Washington State University, Pullman, Washington
| | - Jeffrey P Jones
- Department of Chemistry, Washington State University, Pullman, Washington
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