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Russell LE, Yadav J, Maldonato BJ, Chien HC, Zou L, Vergara AG, Villavicencio EG. Transporter-mediated drug-drug interactions: regulatory guidelines, in vitro and in vivo methodologies and translation, special populations, and the blood-brain barrier. Drug Metab Rev 2024:1-28. [PMID: 38967415 DOI: 10.1080/03602532.2024.2364591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Accepted: 05/31/2024] [Indexed: 07/06/2024]
Abstract
This review, part of a special issue on drug-drug interactions (DDIs) spearheaded by the International Society for the Study of Xenobiotics (ISSX) New Investigators, explores the critical role of drug transporters in absorption, disposition, and clearance in the context of DDIs. Over the past two decades, significant advances have been made in understanding the clinical relevance of these transporters. Current knowledge on key uptake and efflux transporters that affect drug disposition and development is summarized. Regulatory guidelines from the FDA, EMA, and PMDA that inform the evaluation of potential transporter-mediated DDIs are discussed in detail. Methodologies for preclinical and clinical testing to assess potential DDIs are reviewed, with an emphasis on the utility of physiologically based pharmacokinetic (PBPK) modeling. This includes the application of relative abundance and expression factors to predict human pharmacokinetics (PK) using preclinical data, integrating the latest regulatory guidelines. Considerations for assessing transporter-mediated DDIs in special populations, including pediatric, hepatic, and renal impairment groups, are provided. Additionally, the impact of transporters at the blood-brain barrier (BBB) on the disposition of CNS-related drugs is explored. Enhancing the understanding of drug transporters and their role in drug disposition and toxicity can improve efficacy and reduce adverse effects. Continued research is essential to bridge remaining gaps in knowledge, particularly in comparison with cytochrome P450 (CYP) enzymes.
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Affiliation(s)
- Laura E Russell
- Department of Quantitative, Translational, and ADME Sciences, AbbVie Inc, North Chicago, IL, USA
| | - Jaydeep Yadav
- Department of Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics, Merck & Co., Inc, Boston, MA, USA
| | - Benjamin J Maldonato
- Department of Nonclinical Development and Clinical Pharmacology, Revolution Medicines, Inc, Redwood City, CA, USA
| | - Huan-Chieh Chien
- Department of Pharmacokinetics and Drug Metabolism, Amgen Inc, South San Francisco, CA, USA
| | - Ling Zou
- Department of Pharmacokinetics and Drug Metabolism, Amgen Inc, South San Francisco, CA, USA
| | - Ana G Vergara
- Department of Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics, Merck & Co., Inc, Rahway, NJ, USA
| | - Erick G Villavicencio
- Department of Biology-Discovery, Imaging and Functional Genomics, Merck & Co., Inc, Rahway, NJ, USA
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2
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Choi HJ, Madari S, Huang F. Utilising Endogenous Biomarkers in Drug Development to Streamline the Assessment of Drug-Drug Interactions Mediated by Renal Transporters: A Pharmaceutical Industry Perspective. Clin Pharmacokinet 2024; 63:735-749. [PMID: 38867094 PMCID: PMC11222257 DOI: 10.1007/s40262-024-01385-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2024] [Indexed: 06/14/2024]
Abstract
The renal secretion of many drugs is facilitated by membrane transporters, including organic cation transporter 2, multidrug and toxin extrusion protein 1/2-K and organic anion transporters 1 and 3. Inhibition of these transporters can reduce renal excretion of drugs and thereby pose a safety risk. Assessing the risk of inhibition of these membrane transporters by investigational drugs remains a key focus in the evaluation of drug-drug interactions (DDIs). Current methods to predict DDI risk are based on generating in vitro data followed by a clinical assessment using a recommended exogenous probe substrate for the individual drug transporter. More recently, monitoring plasma-based and urine-based endogenous biomarkers to predict transporter-mediated DDIs in early phase I studies represents a promising approach to facilitate, improve and potentially avoid conventional clinical DDI studies. This perspective reviews the evidence for use of these endogenous biomarkers in the assessment of renal transporter-mediated DDI, evaluates how endogenous biomarkers may help to expand the DDI assessment toolkit and offers some potential knowledge gaps. A conceptual framework for assessment that may complement the current paradigm of predicting the potential for renal transporter-mediated DDIs is outlined.
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Affiliation(s)
- Hee Jae Choi
- Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT, 06877, USA
| | - Shilpa Madari
- Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT, 06877, USA
| | - Fenglei Huang
- Translational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, CT, 06877, USA.
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3
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Bechtold BJ, Lynch KD, Oyanna VO, Call MR, Graf TN, Oberlies NH, Clarke JD. Rifampin- and Silymarin-Mediated Pharmacokinetic Interactions of Exogenous and Endogenous Substrates in a Transgenic OATP1B Mouse Model. Mol Pharm 2024; 21:2284-2297. [PMID: 38529622 PMCID: PMC11073900 DOI: 10.1021/acs.molpharmaceut.3c01088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
Organic anion-transporting polypeptides (OATP) 1B1 and OATP1B3, encoded by the SLCO gene family of the solute carrier superfamily, are involved in the disposition of many exogenous and endogenous compounds. Preclinical rodent models help assess risks of pharmacokinetic interactions, but interspecies differences in transporter orthologs and expression limit direct clinical translation. An OATP1B transgenic mouse model comprising a rodent Slco1a/1b gene cluster knockout and human SLCO1B1 and SLCO1B3 gene insertions provides a potential physiologically relevant preclinical tool to predict pharmacokinetic interactions. Pharmacokinetics of exogenous probe substrates, pitavastatin and pravastatin, and endogenous OATP1B biomarkers, coproporphyrin-I and coproporphyrin-III, were determined in the presence and absence of known OATP/Oatp inhibitors, rifampin or silymarin (an extract of milk thistle [Silybum marianum]), in wild-type FVB mice and humanized OATP1B mice. Rifampin increased exposure of pitavastatin (4.6- and 2.8-fold), pravastatin (3.6- and 2.2-fold), and coproporphyrin-III (1.6- and 2.1-fold) in FVB and OATP1B mice, respectively, but increased coproporphyrin-I AUC0-24h only (1.8-fold) in the OATP1B mice. Silymarin did not significantly affect substrate AUC, likely because the silymarin flavonolignan concentrations were at or below their reported IC50 values for the relevant OATPs/Oatps. Silymarin increased the Cmax of pitavastatin 2.7-fold and pravastatin 1.9-fold in the OATP1B mice. The data of the OATP1B mice were similar to those of the pitavastatin and pravastatin clinical data; however, the FVB mice data more closely recapitulated pitavastatin clinical data than the data of the OATP1B mice, suggesting that the OATP1B mice are a reasonable, though costly, preclinical strain for predicting pharmacokinetic interactions when doses are optimized to achieve clinically relevant plasma concentrations.
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Affiliation(s)
- Baron J. Bechtold
- Department of Pharmaceutical Sciences, Washington State University, 412 E. Spokane Falls Blvd., Spokane, Washington 99202, United States
| | - Katherine D. Lynch
- Department of Pharmaceutical Sciences, Washington State University, 412 E. Spokane Falls Blvd., Spokane, Washington 99202, United States
| | - Victoria O. Oyanna
- Department of Pharmaceutical Sciences, Washington State University, 412 E. Spokane Falls Blvd., Spokane, Washington 99202, United States
| | - M. Ridge Call
- Department of Pharmaceutical Sciences, Washington State University, 412 E. Spokane Falls Blvd., Spokane, Washington 99202, United States
| | - Tyler N. Graf
- Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, North Carolina, 27412, United States
| | - Nicholas H. Oberlies
- Department of Chemistry and Biochemistry, University of North Carolina at Greensboro, North Carolina, 27412, United States
| | - John D. Clarke
- Department of Pharmaceutical Sciences, Washington State University, 412 E. Spokane Falls Blvd., Spokane, Washington 99202, United States
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4
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Izat N, Kaplan O, Çelebier M, Sahin S. An Isolated Perfused Rat Liver Model: Simultaneous LC-MS Quantification of Pitavastatin, Coproporphyrin I, and Coproporphyrin III Levels in the Rat Liver and Bile. ACS OMEGA 2024; 9:19250-19260. [PMID: 38708282 PMCID: PMC11064166 DOI: 10.1021/acsomega.4c00109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 03/21/2024] [Accepted: 04/04/2024] [Indexed: 05/07/2024]
Abstract
The isolated perfused rat liver (IPRL) model provides a mechanistic understanding of the organic-anion-transporting polypeptide (OATP/Oatp)-mediated pharmacokinetics in the preclinical evaluation, which often requires the use of control substrates (i.e., pitavastatin) and monitoring endogenous biomarkers (coproporphyrin I and III). This study aimed to develop and validate an LC-MS method allowing the simultaneous quantification of pitavastatin, coproporphyrin I (CPI), and coproporphyrin III (CPIII) in rat liver perfusion matrices (perfusate, liver homogenate, bile). The analysis was performed on a C18 column at 60 °C with 20 μL of sample injection. The mobile phases consisted of water with 0.1% formic acid and acetonitrile with 0.1% formic acid with a gradient flow of 0.5 mL/min. The assay was validated according to the ICH M10 Bioanalytical Method Validation Guideline (2022) for selectivity, calibration curve and range, matrix effect, carryover, accuracy, precision, and reinjection reproducibility. The method allowing the simultaneous quantification of pitavastatin, CPI, and CPIII was selective without having carryover and matrix effects. The linear calibration curves were obtained within various calibration ranges for three analytes in different matrices. Accuracy and precision values fulfilled the required limits. After 60 min perfusion with pitavastatin (1 μM), the cumulative amounts of pitavastatin in the liver and bile were 5.770 ± 1.504 and 0.852 ± 0.430 nmol/g liver, respectively. CPIII was a more dominant marker than CPI in both liver (0.028 ± 0.017 vs 0.013 ± 0.008 nmol/g liver) and bile (0.016 ± 0.011 vs 0.009 ± 0.007 nmol/g liver). The novel and validated bioanalytical method can be applied in further IPRL preparations investigating Oatp-mediated pharmacokinetics and DDIs.
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Affiliation(s)
- Nihan Izat
- Department
of Pharmaceutical Technology, Hacettepe
University Faculty of Pharmacy, Ankara 06800, Turkey
| | - Ozan Kaplan
- Department
of Analytical Chemistry, Hacettepe University
Faculty of Pharmacy, Ankara 06100, Turkey
| | - Mustafa Çelebier
- Department
of Analytical Chemistry, Hacettepe University
Faculty of Pharmacy, Ankara 06100, Turkey
| | - Selma Sahin
- Department
of Pharmaceutical Technology, Hacettepe
University Faculty of Pharmacy, Ankara 06800, Turkey
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5
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Galetin A, Brouwer KLR, Tweedie D, Yoshida K, Sjöstedt N, Aleksunes L, Chu X, Evers R, Hafey MJ, Lai Y, Matsson P, Riselli A, Shen H, Sparreboom A, Varma MVS, Yang J, Yang X, Yee SW, Zamek-Gliszczynski MJ, Zhang L, Giacomini KM. Membrane transporters in drug development and as determinants of precision medicine. Nat Rev Drug Discov 2024; 23:255-280. [PMID: 38267543 DOI: 10.1038/s41573-023-00877-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/12/2023] [Indexed: 01/26/2024]
Abstract
The effect of membrane transporters on drug disposition, efficacy and safety is now well recognized. Since the initial publication from the International Transporter Consortium, significant progress has been made in understanding the roles and functions of transporters, as well as in the development of tools and models to assess and predict transporter-mediated activity, toxicity and drug-drug interactions (DDIs). Notable advances include an increased understanding of the effects of intrinsic and extrinsic factors on transporter activity, the application of physiologically based pharmacokinetic modelling in predicting transporter-mediated drug disposition, the identification of endogenous biomarkers to assess transporter-mediated DDIs and the determination of the cryogenic electron microscopy structures of SLC and ABC transporters. This article provides an overview of these key developments, highlighting unanswered questions, regulatory considerations and future directions.
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Affiliation(s)
- Aleksandra Galetin
- Centre for Applied Pharmacokinetic Research, School of Health Sciences, The University of Manchester, Manchester, UK.
| | - Kim L R Brouwer
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Kenta Yoshida
- Clinical Pharmacology, Genentech Research and Early Development, South San Francisco, CA, USA
| | - Noora Sjöstedt
- Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Lauren Aleksunes
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, NJ, USA
| | - Xiaoyan Chu
- Department of Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics, Merck & Co., Inc., Rahway, NJ, USA
| | - Raymond Evers
- Preclinical Sciences and Translational Safety, Johnson & Johnson, Janssen Pharmaceuticals, Spring House, PA, USA
| | - Michael J Hafey
- Department of Pharmacokinetics, Dynamics, Metabolism, and Bioanalytics, Merck & Co., Inc., Rahway, NJ, USA
| | - Yurong Lai
- Drug Metabolism, Gilead Sciences Inc., Foster City, CA, USA
| | - Pär Matsson
- Department of Pharmacology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Andrew Riselli
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Hong Shen
- Department of Drug Metabolism and Pharmacokinetics, Bristol Myers Squibb Research and Development, Princeton, NJ, USA
| | - Alex Sparreboom
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - Manthena V S Varma
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide R&D, Pfizer Inc, Groton, CT, USA
| | - Jia Yang
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Xinning Yang
- Office of Clinical Pharmacology, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Sook Wah Yee
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | | | - Lei Zhang
- Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA
| | - Kathleen M Giacomini
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
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6
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Watari R, Sawada H, Hashimoto H, Kasai Y, Oka R, Shimizu R, Matsuzaki T. Utility of Coproporphyrin-I Determination in First-in-Human Study for Early Evaluation of OATP1B Inhibitory Potential Based on Investigation of Ensitrelvir, an Oral SARS-CoV-2 3C-Like Protease Inhibitor. J Pharm Sci 2024; 113:798-805. [PMID: 37742997 DOI: 10.1016/j.xphs.2023.09.016] [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: 08/20/2023] [Revised: 09/15/2023] [Accepted: 09/17/2023] [Indexed: 09/26/2023]
Abstract
Coproporphyrin-I (CP-I) has been investigated as an endogenous biomarker of organic anion transporting polypeptide (OATP) 1B. Here, we determined the CP-I concentrations in a cocktail drug-drug interaction (DDI) study of ensitrelvir to evaluate the OATP1B inhibitory potential because ensitrelvir had increased plasma concentrations of rosuvastatin in this study, raising concerns about breast cancer resistance protein and OATP1B inhibition. Furthermore, CP-I concentrations were compared between active and placebo groups in a first-in-human (FIH) study of ensitrelvir to verify whether the OATP1B inhibitory potential could be estimated at an early drug development stage. In the cocktail DDI study, CP-I did not differ between with/without administration of ensitrelvir, indicating that ensitrelvir has no OATP1B inhibitory effect. Although there were some individual variabilities in CP-I concentrations among the treatment groups in the FIH study, the normalization of CP-I concentrations with pre-dose values minimized these variabilities, suggesting that this normalized method would be helpful for comparing the CP-I from different participants. Finally, we concluded that CP-I concentrations were not affected by ensitrelvir in the FIH study. These results suggested that the CP-I determination in an FIH study and its normalized method can be useful for an early evaluation of the OATP1B-mediated DDI potential in humans.
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Affiliation(s)
- Ryosuke Watari
- Laboratory for Drug Discovery and Development, Shionogi & Co., Ltd, Japan.
| | - Hiromi Sawada
- Laboratory for Drug Discovery and Development, Shionogi & Co., Ltd, Japan
| | - Hiroshi Hashimoto
- Department of ADMET and Analytical Chemistry II, Shionogi TechnoAdvance Research & Co., Ltd, Japan
| | - Yasuyuki Kasai
- Laboratory for Drug Discovery and Development, Shionogi & Co., Ltd, Japan
| | - Ryoko Oka
- Laboratory for Drug Discovery and Development, Shionogi & Co., Ltd, Japan
| | - Ryosuke Shimizu
- Clinical Pharmacology & Pharmacokinetics, Shionogi & Co., Ltd, Japan
| | - Takanobu Matsuzaki
- Laboratory for Drug Discovery and Development, Shionogi & Co., Ltd, Japan
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7
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Hämäläinen K, Hirvensalo P, Neuvonen M, Tornio A, Backman JT, Lehtonen M, Niemi M. Non-targeted metabolomics for the identification of plasma metabolites associated with organic anion transporting polypeptide 1B1 function. Clin Transl Sci 2024; 17:e13773. [PMID: 38515340 PMCID: PMC10958181 DOI: 10.1111/cts.13773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 02/09/2024] [Accepted: 02/28/2024] [Indexed: 03/23/2024] Open
Abstract
Our aim was to evaluate biomarkers for organic anion transporting polypeptide 1B1 (OATP1B1) function using a hypothesis-free metabolomics approach. We analyzed fasting plasma samples from 356 healthy volunteers using non-targeted metabolite profiling by liquid chromatography high-resolution mass spectrometry. Based on SLCO1B1 genotypes, we stratified the volunteers to poor, decreased, normal, increased, and highly increased OATP1B1 function groups. Linear regression analysis, and random forest (RF) and gradient boosted decision tree (GBDT) regressors were used to investigate associations of plasma metabolite features with OATP1B1 function. Of the 9152 molecular features found, 39 associated with OATP1B1 function either in the linear regression analysis (p < 10-5) or the RF or GBDT regressors (Gini impurity decrease > 0.01). Linear regression analysis showed the strongest associations with two features identified as glycodeoxycholate 3-O-glucuronide (GDCA-3G; p = 1.2 × 10-20 for negative and p = 1.7 × 10-19 for positive electrospray ionization) and one identified as glycochenodeoxycholate 3-O-glucuronide (GCDCA-3G; p = 2.7 × 10-16). In both the RF and GBDT models, the GCDCA-3G feature showed the strongest association with OATP1B1 function, with Gini impurity decreases of 0.40 and 0.17. In RF, this was followed by one GDCA-3G feature, an unidentified feature with a molecular weight of 809.3521, and the second GDCA-3G feature. In GBDT, the second and third strongest associations were observed with the GDCA-3G features. Of the other associated features, we identified with confidence two representing lysophosphatidylethanolamine 22:5. In addition, one feature was putatively identified as pregnanolone sulfate and one as pregnenolone sulfate. These results confirm GCDCA-3G and GDCA-3G as robust OATP1B1 biomarkers in human plasma.
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Affiliation(s)
- Kreetta Hämäläinen
- Department of Clinical PharmacologyUniversity of HelsinkiHelsinkiFinland
- Individualized Drug Therapy Research Program, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
| | - Päivi Hirvensalo
- Department of Clinical PharmacologyUniversity of HelsinkiHelsinkiFinland
- Individualized Drug Therapy Research Program, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
- Integrative Physiology and Pharmacology, Institute of BiomedicineUniversity of TurkuTurkuFinland
| | - Mikko Neuvonen
- Department of Clinical PharmacologyUniversity of HelsinkiHelsinkiFinland
- Individualized Drug Therapy Research Program, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
| | - Aleksi Tornio
- Department of Clinical PharmacologyUniversity of HelsinkiHelsinkiFinland
- Individualized Drug Therapy Research Program, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
- Integrative Physiology and Pharmacology, Institute of BiomedicineUniversity of TurkuTurkuFinland
- Unit of Clinical PharmacologyTurku University HospitalTurkuFinland
| | - Janne T. Backman
- Department of Clinical PharmacologyUniversity of HelsinkiHelsinkiFinland
- Individualized Drug Therapy Research Program, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
- Department of Clinical Pharmacology, HUS Diagnostic CenterHelsinki University HospitalHelsinkiFinland
| | - Marko Lehtonen
- School of Pharmacy, Faculty of Health ScienceUniversity of Eastern FinlandKuopioFinland
- LC‐MS Metabolomics Center, Biocenter KuopioKuopioFinland
| | - Mikko Niemi
- Department of Clinical PharmacologyUniversity of HelsinkiHelsinkiFinland
- Individualized Drug Therapy Research Program, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland
- Department of Clinical Pharmacology, HUS Diagnostic CenterHelsinki University HospitalHelsinkiFinland
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8
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Asano S, Kurosaki C, Mori Y, Shigemi R. Quantitative prediction of transporter-mediated drug-drug interactions using the mechanistic static pharmacokinetic (MSPK) model. Drug Metab Pharmacokinet 2024; 54:100531. [PMID: 38064927 DOI: 10.1016/j.dmpk.2023.100531] [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: 05/29/2023] [Revised: 08/21/2023] [Accepted: 10/02/2023] [Indexed: 02/06/2024]
Abstract
Guidance/guidelines on drug-drug interactions (DDIs) have been issued in Japan, the United States, and Europe. These guidance/guidelines provide decision trees for conducting metabolizing enzyme-mediated clinical DDI studies; however, the decision trees for transporter-mediated DDIs lack quantitative prediction methods. In this study, the accuracy of a net-effect mechanistic static pharmacokinetics (MSPK) model containing the fraction transported (ft) of transporters was examined to predict transporter-mediated DDIs. This study collected information on 25 oral drugs with new active reagents that were used in clinical DDI studies as perpetrators (42 cases) from drugs approved in Japan between April 2016 and June 2020. The AUCRs (AUC ratios with and without perpetrators) of victim drugs were predicted using the net-effect MSPK model. As a result, 83 and 95% of the predicted AUCRs were within 1.5- and 2-fold error in the observed AUCRs, respectively. In cases where the victims were statins in which pharmacokinetics several transporters are involved, 70 and 91% of the predicted AUCRs were within 1.5- and 2-fold errors, respectively. Therefore, the net-effect MSPK model was applicable for predicting the AUCRs of victims, which are substrates for multiple transporters.
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Affiliation(s)
- Satoshi Asano
- Japan Pharmaceutical Manufacturers Association, Nihonbashi Life Science Bldg, 2-3-11 Nihonbashi-honcho, Chuo-Ku, Tokyo, Japan; Teijin Pharma Limited, Toxicology & DMPK Development Research Group, 4-3-2, Asahigaoka, Hino, Tokyo, 191-8512, Japan.
| | - Chie Kurosaki
- Japan Pharmaceutical Manufacturers Association, Nihonbashi Life Science Bldg, 2-3-11 Nihonbashi-honcho, Chuo-Ku, Tokyo, Japan; FUJIFILM Toyama Chemical Co., Ltd, ADME-Tox Group, Bioanalytical Sciences Research Department, Toyama Research and Development Center, 4-1, Shimo-Okui 2-chome, Toyama-shi, Toyama, Japan
| | - Yuko Mori
- Japan Pharmaceutical Manufacturers Association, Nihonbashi Life Science Bldg, 2-3-11 Nihonbashi-honcho, Chuo-Ku, Tokyo, Japan; Pfizer R&D Japan, Clinical Pharmacology and Bioanalytics, Shinjuku Bunka Quint Bldg., 3-22-7, Yoyogi, Shibuya-ku, Tokyo, Japan
| | - Ryota Shigemi
- Japan Pharmaceutical Manufacturers Association, Nihonbashi Life Science Bldg, 2-3-11 Nihonbashi-honcho, Chuo-Ku, Tokyo, Japan; Bayer Yakuhin, Ltd, Preclinical Development, Breeze Tower, 2-4-9, Umeda, Kita-ku, Osaka, Japan
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9
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Kinzi J, Hussner J, Schäfer AM, Treyer A, Seibert I, Tillmann A, Mueller V, Gherardi C, Vonwyl C, Hamburger M, Meyer Zu Schwabedissen HE. Influence of Slco2b1-knockout and SLCO2B1-humanization on coproporphyrin I and III levels in rats. Br J Pharmacol 2024; 181:36-53. [PMID: 37533302 DOI: 10.1111/bph.16205] [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: 10/25/2022] [Revised: 03/15/2023] [Accepted: 07/20/2023] [Indexed: 08/04/2023] Open
Abstract
BACKGROUND AND PURPOSE Coproporphyrin (CP) I and III are byproducts of haem synthesis currently investigated as biomarkers for drug-drug interactions involving hepatic organic anion transporting polypeptide (OATP) 1B transporters. Another hepatically expressed OATP-member is OATP2B1. The aim of this study was to test the impact of OATP2B1, which specifically transports CPIII, on CP serum levels, applying novel rat models. EXPERIMENTAL APPROACH CPIII transport kinetics and the interplay between OATP2B1 and multidrug resistance-associated proteins (MRPs) were determined in vitro using the vTF7 expression system. Novel rSlco2b1-/- and SLCO2B1+/+ rat models were characterized for physiological parameters and for CP serum levels. Hepatic and renal expression of transporters involved in CP disposition were determined by real-time qPCR, Western blot analysis, and immunohistochemistry. KEY RESULTS In vitro experiments revealed differences in transport kinetics comparing human and rat OATP2B1 and showed a consistent, species-specific interplay with hMRP3/rMRP3. Deletion of rOATP2B1 was associated with a trend towards lower CPI serum levels compared with wildtype rats, while CPIII remained unchanged. Comparing SLCO2B1+/+ with knockout rats revealed an effect of sex: only in females the genetic modification influenced CP serum levels. Analysis of hepatic and renal transporters revealed marginal, but in part, statistically significant differences in rMRP2 abundance, which may contribute to the observed changes in CP serum levels. CONCLUSION AND IMPLICATIONS Our findings support that factors other than OATP1B transporters are of relevance for basal CP levels. Only in female rats, humanization of SLCO2B1 affects basal CPI and CPIII serum levels, despite isomer selectivity of OATP2B1.
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Affiliation(s)
- Jonny Kinzi
- Biopharmacy, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland
| | - Janine Hussner
- Biopharmacy, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland
| | - Anima M Schäfer
- Biopharmacy, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland
| | - Andrea Treyer
- Pharmaceutical Biology, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland
| | - Isabell Seibert
- Biopharmacy, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland
| | - Annika Tillmann
- Biopharmacy, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland
| | - Vanessa Mueller
- Biopharmacy, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland
| | - Clarisse Gherardi
- Biopharmacy, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland
| | - Celina Vonwyl
- Biopharmacy, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland
| | - Matthias Hamburger
- Pharmaceutical Biology, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland
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10
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Kikuchi R, Chothe PP, Chu X, Huth F, Ishida K, Ishiguro N, Jiang R, Shen H, Stahl SH, Varma MVS, Willemin ME, Morse BL. Utilization of OATP1B Biomarker Coproporphyrin-I to Guide Drug-Drug Interaction Risk Assessment: Evaluation by the Pharmaceutical Industry. Clin Pharmacol Ther 2023; 114:1170-1183. [PMID: 37750401 DOI: 10.1002/cpt.3062] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 09/08/2023] [Indexed: 09/27/2023]
Abstract
Drug-drug interactions (DDIs) involving hepatic organic anion transporting polypeptides 1B1/1B3 (OATP1B) can be substantial, however, challenges remain for predicting interaction risk. Emerging evidence suggests that endogenous biomarkers, particularly coproporphyrin-I (CP-I), can be used to assess in vivo OATP1B activity. The present work under the International Consortium for Innovation and Quality in Pharmaceutical Development was aimed primarily at assessing CP-I as a biomarker for informing OATP1B DDI risk. Literature and unpublished CP-I data along with pertinent in vitro and clinical DDI information were collected to identify DDIs primarily involving OATP1B inhibition and assess the relationship between OATP1B substrate drug and CP-I exposure changes. Static models to predict changes in exposure of CP-I, as a selective OATP1B substrate, were also evaluated. Significant correlations were observed between CP-I area under the curve ratio (AUCR) or maximum concentration ratio (Cmax R) and AUCR of substrate drugs. In general, the CP-I Cmax R was equal to or greater than the CP-I AUCR. CP-I Cmax R < 1.25 was associated with absence of OATP1B-mediated DDIs (AUCR < 1.25) with no false negative predictions. CP-I Cmax R < 2 was associated with weak OATP1B-mediated DDIs (AUCR < 2). A correlation was identified between CP-I exposure changes and OATP1B1 static DDI predictions. Recommendations for collecting and interpreting CP-I data are discussed, including a decision tree for guiding DDI risk assessment. In conclusion, measurement of CP-I is recommended to inform OATP1B inhibition potential. The current analysis identified changes in CP-I exposure that may be used to prioritize, delay, or replace clinical DDI studies.
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Affiliation(s)
- Ryota Kikuchi
- Quantitative, Translational and ADME Sciences, AbbVie Inc., North Chicago, Illinois, USA
| | - Paresh P Chothe
- Global Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Inc. (TDCA), Lexington, Massachusetts, USA
| | - Xiaoyan Chu
- ADME and Discovery Toxicology, Merck & Co., Inc., Rahway, New Jersey, USA
| | - Felix Huth
- PK Sciences, Novartis Pharma AG, Basel, Switzerland
| | - Kazuya Ishida
- Drug Metabolism, Gilead Sciences Inc., Foster City, California, USA
| | - Naoki Ishiguro
- Pharmacokinetics and Non-Clinical Safety Department, Nippon Boehringer Ingelheim Co., Ltd., Kobe, Japan
| | - Rongrong Jiang
- Drug Metabolism and Pharmacokinetics, Eisai Inc., Cambridge, Massachusetts, USA
| | - Hong Shen
- Departments of Drug Metabolism and Pharmacokinetics, Bristol Myers Squibb Research and Development, Princeton, New Jersey, USA
| | - Simone H Stahl
- CVRM Safety, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
| | - Manthena V S Varma
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Pfizer Inc., Groton, Connecticut, USA
| | - Marie-Emilie Willemin
- Drug Metabolism and Pharmacokinetics, Janssen Research and Development, a Division of Janssen Pharmaceutica NV, Beerse, Belgium
| | - Bridget L Morse
- Department of Drug Disposition, Eli Lilly, Indianapolis, Indiana, USA
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11
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Kinzi J, Grube M, Brecht K, Seibert I, Siegmund W, Meyer zu Schwabedissen HE. Various effects of repeated rifampin dosing on coproporphyrin levels in humans. Clin Transl Sci 2023; 16:2289-2298. [PMID: 37705216 PMCID: PMC10651657 DOI: 10.1111/cts.13629] [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: 07/03/2023] [Revised: 08/23/2023] [Accepted: 08/26/2023] [Indexed: 09/15/2023] Open
Abstract
In recent years, the identification of endogenous substrates as biomarkers became an uprising topic. Particularly coproporphyrins (CPs), byproducts of heme biosynthesis, are intensely investigated as biomarkers for predicting interactions with the organic anion transporting polypeptide (OATP) 1B transporters. In the context of drug-drug interactions, several preclinical and clinical studies assessed the effect of the OATP1B-index inhibitor rifampin on CPI levels. However, rifampin is not only a "perpetrator" drug of transporters but is also known for its interaction with the nuclear receptor pregnane X receptor (PXR) leading to the efficient induction of PXR-target genes. These include hemoproteins like cytochrome P450 enzymes but also the δ-aminolevulinate synthase 1, which is the rate-limiting enzyme in heme biosynthesis. In this study, we showed that quantification of CPs in clinical serum samples was possible after long-term storage at -20°C. We quantified CPI, CPIII, and heme levels in clinical serum samples (at selected timepoints) that originated from a trial investigating the interaction potential of repeated rifampin administration in 12 healthy participants. In samples collected at the assumed time to maximum concentration of rifampin, higher CP levels were observed compared to baseline. Increased levels persisted even 14 h after discontinuation of rifampin. No impact on heme serum levels was observed. We found a correlation between CP isomers at baseline and at 14 h after rifampin intake. In summary, we show that multiple doses of rifampin affect CP levels. However, besides inhibition of hepatic OATP function there is evidence for an interaction with CP levels beyond the transporter level.
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Affiliation(s)
- Jonny Kinzi
- Biopharmacy, Department of Pharmaceutical SciencesUniversity of BaselBaselSwitzerland
| | - Markus Grube
- Center of Drug Absorption and Transport, Institute for PharmacologyUniversity Medicine GreifswaldGreifswaldGermany
| | - Karin Brecht
- Biopharmacy, Department of Pharmaceutical SciencesUniversity of BaselBaselSwitzerland
| | - Isabell Seibert
- Biopharmacy, Department of Pharmaceutical SciencesUniversity of BaselBaselSwitzerland
| | - Werner Siegmund
- Center of Drug Absorption and Transport, Institute for PharmacologyUniversity Medicine GreifswaldGreifswaldGermany
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12
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Kinzi J, Grube M, Hussner J, Seibert I, Hamburger M, Meyer Zu Schwabedissen HE. The influence of OATP2B1 and atorvastatin on coproporphyrin isomers in rats. J Pharmacol Sci 2023; 153:170-174. [PMID: 37770158 DOI: 10.1016/j.jphs.2023.09.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 09/04/2023] [Accepted: 09/11/2023] [Indexed: 10/03/2023] Open
Abstract
Coproporphyrin I (CPI) and III (CPIII) are discussed as biomarkers for organic anion transporting polypeptides (OATPs). We report on CPI and CPIII levels in wildtype, rSlco2b1-knockout, and SLCO2B1-humanized rats at baseline and after administration of atorvastatin, an inhibitor of the CPIII-specific rOATP2B1/hOATP2B1 and the CPI/CPIII-transporting rOATP1B2. OATP-inhibition by atorvastatin leads to significantly increased CPI and CPIII serum levels. However, basal CP serum levels in rSlco2b1-knockout animals were significantly lower (CPI), or unaffected (CPIII). In the presence of atorvastatin, this genotype effect was abolished. In conclusion, our results indicate an unexpected impact of OATP2B1 on CP serum levels in rats.
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Affiliation(s)
- Jonny Kinzi
- Biopharmacy, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel, Switzerland
| | - Markus Grube
- Center of Drug Absorption and Transport, Institute for Pharmacology, University Medicine Greifswald, Felix-Hausdorff-Str. 3, 17487 Greifswald, Germany
| | - Janine Hussner
- Biopharmacy, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel, Switzerland
| | - Isabell Seibert
- Biopharmacy, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel, Switzerland
| | - Matthias Hamburger
- Pharmaceutical Biology, Department of Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel, Switzerland
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13
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Dong J, Prieto Garcia L, Huang Y, Tang W, Lundahl A, Elebring M, Ahlström C, Vildhede A, Sjögren E, Någård M. Understanding Statin-Roxadustat Drug-Drug-Disease Interaction Using Physiologically-Based Pharmacokinetic Modeling. Clin Pharmacol Ther 2023; 114:825-835. [PMID: 37376792 DOI: 10.1002/cpt.2980] [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: 02/27/2023] [Accepted: 06/05/2023] [Indexed: 06/29/2023]
Abstract
A different drug-drug interaction (DDI) scenario may exist in patients with chronic kidney disease (CKD) compared with healthy volunteers (HVs), depending on the interplay between drug-drug and disease (drug-drug-disease interaction (DDDI)). Physiologically-based pharmacokinetic (PBPK) modeling, in lieu of a clinical trial, is a promising tool for evaluating these complex DDDIs in patients. However, the prediction confidence of PBPK modeling in the severe CKD population is still low when nonrenal pathways are involved. More mechanistic virtual disease population and robust validation cases are needed. To this end, we aimed to: (i) understand the implications of severe CKD on statins (atorvastatin, simvastatin, and rosuvastatin) pharmacokinetics (PK) and DDI; and (ii) predict untested clinical scenarios of statin-roxadustat DDI risks in patients to guide suitable dose regimens. A novel virtual severe CKD population was developed incorporating the disease effect on both renal and nonrenal pathways. Drug and disease PBPK models underwent a four-way validation. The verified PBPK models successfully predicted the altered PKs in patients for substrates and inhibitors and recovered the observed statin-rifampicin DDIs in patients and the statin-roxadustat DDIs in HVs within 1.25- and 2-fold error. Further sensitivity analysis revealed that the severe CKD effect on statins PK is mainly mediated by hepatic BCRP for rosuvastatin and OATP1B1/3 for atorvastatin. The magnitude of statin-roxadustat DDI in patients with severe CKD was predicted to be similar to that in HVs. PBPK-guided suitable dose regimens were identified to minimize the risk of side effects or therapeutic failure of statins when co-administered with roxadustat.
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Affiliation(s)
- Jin Dong
- Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Gaithersburg, Maryland, USA
| | - Luna Prieto Garcia
- Drug Metabolism and Pharmacokinetics, Research and Early Development Cardiovascular, Renal and Metabolism, BioPharmaceuticals, R&D, AstraZeneca, Gothenburg, Sweden
- Department of Pharmaceutical Biosciences, Translational Drug Discovery and Development, Uppsala University, Uppsala, Sweden
| | - Yingbo Huang
- Department of Experimental and Clinical Pharmacology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Weifeng Tang
- Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Gaithersburg, Maryland, USA
| | - Anna Lundahl
- Drug Metabolism and Pharmacokinetics, Research and Early Development Cardiovascular, Renal and Metabolism, BioPharmaceuticals, R&D, AstraZeneca, Gothenburg, Sweden
- Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Gothenburg, Sweden
| | - Marie Elebring
- Drug Metabolism and Pharmacokinetics, Research and Early Development Cardiovascular, Renal and Metabolism, BioPharmaceuticals, R&D, AstraZeneca, Gothenburg, Sweden
| | - Christine Ahlström
- Drug Metabolism and Pharmacokinetics, Research and Early Development Cardiovascular, Renal and Metabolism, BioPharmaceuticals, R&D, AstraZeneca, Gothenburg, Sweden
| | - Anna Vildhede
- Drug Metabolism and Pharmacokinetics, Research and Early Development Cardiovascular, Renal and Metabolism, BioPharmaceuticals, R&D, AstraZeneca, Gothenburg, Sweden
| | - Erik Sjögren
- Department of Pharmaceutical Biosciences, Translational Drug Discovery and Development, Uppsala University, Uppsala, Sweden
| | - Mats Någård
- Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Gaithersburg, Maryland, USA
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14
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Ciută AD, Nosol K, Kowal J, Mukherjee S, Ramírez AS, Stieger B, Kossiakoff AA, Locher KP. Structure of human drug transporters OATP1B1 and OATP1B3. Nat Commun 2023; 14:5774. [PMID: 37723174 PMCID: PMC10507018 DOI: 10.1038/s41467-023-41552-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 09/08/2023] [Indexed: 09/20/2023] Open
Abstract
The organic anion transporting polypeptides OATP1B1 and OATP1B3 are membrane proteins that mediate uptake of drugs into the liver for subsequent conjugation and biliary excretion, a key step in drug elimination from the human body. Polymorphic variants of these transporters can cause reduced drug clearance and adverse drug effects such as statin-induced rhabdomyolysis, and co-administration of OATP substrates can lead to damaging drug-drug interaction. Despite their clinical relevance in drug disposition and pharmacokinetics, the structure and mechanism of OATPs are unknown. Here we present cryo-EM structures of human OATP1B1 and OATP1B3 bound to synthetic Fab fragments and in functionally distinct states. A single estrone-3-sulfate molecule is bound in a pocket located in the C-terminal half of OATP1B1. The shape and chemical nature of the pocket rationalize the preference for diverse organic anions and allow in silico docking of statins. The structure of OATP1B3 is determined in a drug-free state but reveals a bicarbonate molecule bound to the conserved signature motif and a histidine residue that is prevalent in OATPs exhibiting pH-dependent activity.
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Affiliation(s)
- Anca-Denise Ciută
- Institute of Molecular Biology and Biophysics, Department of Biology, ETH Zürich, Zürich, Switzerland
| | - Kamil Nosol
- Institute of Molecular Biology and Biophysics, Department of Biology, ETH Zürich, Zürich, Switzerland
| | - Julia Kowal
- Institute of Molecular Biology and Biophysics, Department of Biology, ETH Zürich, Zürich, Switzerland
| | - Somnath Mukherjee
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, USA
| | - Ana S Ramírez
- Institute of Molecular Biology and Biophysics, Department of Biology, ETH Zürich, Zürich, Switzerland
| | - Bruno Stieger
- Institute of Molecular Biology and Biophysics, Department of Biology, ETH Zürich, Zürich, Switzerland
| | - Anthony A Kossiakoff
- Department of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL, USA
| | - Kaspar P Locher
- Institute of Molecular Biology and Biophysics, Department of Biology, ETH Zürich, Zürich, Switzerland.
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15
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Jang Y, Kang J, Hwang S, Chung JY, Cho JY. Quantification of OATP1B1 endogenous metabolites coproporphyrin I and III in human urine. Transl Clin Pharmacol 2023; 31:139-147. [PMID: 37810628 PMCID: PMC10551744 DOI: 10.12793/tcp.2023.31.e12] [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: 06/06/2023] [Revised: 06/30/2023] [Accepted: 07/12/2023] [Indexed: 10/10/2023] Open
Abstract
Coproporphyrin (CP)-I and CP-III are the markers of organic anion-transporting polypeptides' (OATPs) activities, and they are porphyrin metabolites that originate from heme synthesis. Furthermore, CP-I and CP-III, which are OATP1B endogenous metabolites, have gradually attracted the attention of scientists and researchers in recent years. Previous studies have also observed CP-I and CP-III levels as clinical biomarkers for predicting OATP1B inhibition in drug-drug interaction studies. To establish an accurate ultra-high performance liquid chromatography-mass spectrometry method for the quantitation of CP-I and CP-III, we reviewed previous methodological publications and applied them to a clinical pharmacology study using a human urine matrix. We used 13.25 M formic acid as a working solution for internal standards (CP-I 15N4 and CP-III d8) to avoid isobaric interference. The calibration curve showed good linearity in the range of 1-100 ng/mL, with a correlation coefficient (R2) higher than 0.996 in each validation batch. Both the between-run and within-run assays achieved good precision and accuracy, and we found that both CP-I and CP-III were stable in the pre-study validation. The method exhibited suitable dilution integrity, allowing for the re-analysis of samples with concentrations exceeding the upper limit of quantification through dilution. Overall, the application of the described method in a clinical study revealed that it can be utilized effectively to monitor drug-drug interactions mediated by OATP1B.
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Affiliation(s)
- Yeonseo Jang
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Jihyun Kang
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine, Seoul 03080, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Sejung Hwang
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine, Seoul 03080, Korea
| | - Jae-Yong Chung
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine, Seoul 03080, Korea
- Department of Clinical Pharmacology and Therapeutics, Seoul National University Bundang Hospital, Seongnam 13620, Korea
| | - Joo-Youn Cho
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine, Seoul 03080, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul 03080, Korea
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16
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Mochizuki T, Kusuhara H. Progress in the Quantitative Assessment of Transporter-Mediated Drug-Drug Interactions Using Endogenous Substrates in Clinical Studies. Drug Metab Dispos 2023; 51:1105-1113. [PMID: 37169512 DOI: 10.1124/dmd.123.001285] [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: 02/02/2023] [Revised: 04/13/2023] [Accepted: 04/17/2023] [Indexed: 05/13/2023] Open
Abstract
Variations in drug transporter activities, caused by genetic polymorphism and drug-drug interactions (DDIs), alter the systemic exposure of substrate drugs, leading to differences in drug responses. Recently, some endogenous substrates of drug transporters, particularly the solute carrier family transporters such as OATP1B1, OATP1B3, OAT1, OAT3, OCT1, OCT2, MATE1, and MATE2-K, have been identified to investigate variations in drug transporters in humans. Clinical data obtained support their performance as surrogate probes in terms of specificity and reproducibility. Pharmacokinetic parameters of the endogenous biomarkers depend on the genotypes of drug transporters and the systemic exposure to perpetrator drugs. Furthermore, the development of physiologically based pharmacokinetic models for the endogenous biomarkers has enabled a top-down approach to obtain insights into the effect of perpetrators on drug transporters and to more precisely simulate the DDI with victim drugs, including probe drugs. The endogenous biomarkers can address the uncertainty in the DDI prediction in the preclinical and early phases of clinical development and have the potential to fulfill regulatory requirements. Therefore, the endogenous biomarkers should be able to predict disease effects on the variations in drug transporter activities observed in patients. This mini-review focuses on recent progress in the identification and use of the endogenous drug transporter substrate biomarkers and their application in drug development. SIGNIFICANCE STATEMENT: Advances in analytical methods have enabled the identification of endogenous substrates of drug transporters. Changes in the pharmacokinetic parameters (Cmax, AUC, or CLR) of these endogenous biomarkers relative to baseline values can serve as a quantitative index to assess variations in drug transporter activities during clinical studies and thereby provide more precise DDI predictions.
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Affiliation(s)
- Tatsuki Mochizuki
- Pharmaceutical Science Department, Translational Research Division, Chugai Pharmaceutical Co., Ltd., Yokohama, Japan (T.M.); and Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, University of Tokyo, Tokyo, Japan (H.K.)
| | - Hiroyuki Kusuhara
- Pharmaceutical Science Department, Translational Research Division, Chugai Pharmaceutical Co., Ltd., Yokohama, Japan (T.M.); and Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, University of Tokyo, Tokyo, Japan (H.K.)
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17
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Chan GH, Houle R, Zhang J, Katwaru R, Li Y, Chu X. Evaluation of the Selectivity of Several Organic Anion Transporting Polypeptide 1B Biomarkers Using Relative Activity Factor Method. Drug Metab Dispos 2023; 51:1089-1104. [PMID: 37137718 DOI: 10.1124/dmd.122.000972] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 04/13/2023] [Accepted: 05/01/2023] [Indexed: 05/05/2023] Open
Abstract
In recent years, some endogenous substrates of organic anion transporting polypeptide 1B (OATP1B) have been identified and characterized as potential biomarkers to assess OATP1B-mediated clinical drug-drug interactions (DDIs). However, quantitative determination of their selectivity to OATP1B is still limited. In this study, we developed a relative activity factor (RAF) method to determine the relative contribution of hepatic uptake transporters OATP1B1, OATP1B3, OATP2B1, and sodium-taurocholate co-transporting polypeptide (NTCP) on hepatic uptake of several OATP1B biomarkers, including coproporphyrin I (CPI), coproporphyrin I CPIII, and sulfate conjugates of bile acids: glycochenodeoxycholic acid sulfate (GCDCA-S), glycodeoxycholic acid sulfate (GDCA-S), and taurochenodeoxycholic acid sulfate (TCDCA-S). RAF values for OATP1B1, OATP1B3, OATP2B1, and NTCP were determined in cryopreserved human hepatocytes and transporter transfected cells using pitavastatin, cholecystokinin, resveratrol-3-O-β-D-glucuronide, and taurocholic acid (TCA) as reference compounds, respectively. OATP1B1-specific pitavastatin uptake in hepatocytes was measured in the absence and presence of 1 µM estropipate, whereas NTCP-specific TCA uptake was measured in the presence of 10 µM rifampin. Our studies suggested that CPI was a more selective biomarker for OATP1B1 than CPIII, whereas GCDCA-S and TCDCA-S were more selective to OATP1B3. OATP1B1 and OATP1B3 equally contributed to hepatic uptake of GDCA-S. The mechanistic static model, incorporating the fraction transported of CPI/III estimated by RAF and in vivo elimination data, predicted several perpetrator interactions with CPI/III. Overall, RAF method combined with pharmacogenomic and DDI studies is a useful tool to determine the selectivity of transporter biomarkers and facilitate the selection of appropriate biomarkers for DDI evaluation. SIGNIFICANCE STATEMENT: The authors developed a new relative activity factor (RAF) method to quantify the contribution of hepatic uptake transporters organic anion transporting polypeptide (OATP)1B1, OATP1B3, OATP2B1, and sodium taurocholate co-transporting polypeptide (NTCP) on several OATP1B biomarkers and evaluated their predictive value on drug-drug interactions (DDI). These studies suggest that the RAF method is a useful tool to determine the selectivity of transporter biomarkers. This method combined with pharmacogenomic and DDI studies will mechanistically facilitate the selection of appropriate biomarkers for DDI prediction.
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Affiliation(s)
- Grace Hoyee Chan
- ADME and Discovery Toxicity, Merck & Co., Inc., Rahway, New Jersey
| | - Robert Houle
- ADME and Discovery Toxicity, Merck & Co., Inc., Rahway, New Jersey
| | - Jinghui Zhang
- ADME and Discovery Toxicity, Merck & Co., Inc., Rahway, New Jersey
| | - Ravi Katwaru
- ADME and Discovery Toxicity, Merck & Co., Inc., Rahway, New Jersey
| | - Yang Li
- ADME and Discovery Toxicity, Merck & Co., Inc., Rahway, New Jersey
| | - Xiaoyan Chu
- ADME and Discovery Toxicity, Merck & Co., Inc., Rahway, New Jersey
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18
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Li Y, Drabison T, Nepal M, Ho RH, Leblanc AF, Gibson AA, Jin Y, Yang W, Huang KM, Uddin ME, Chen M, DiGiacomo DF, Chen X, Razzaq S, Tonniges JR, McTigue DM, Mims AS, Lustberg MB, Wang Y, Hummon AB, Evans WE, Baker SD, Cavaletti G, Sparreboom A, Hu S. Targeting a xenobiotic transporter to ameliorate vincristine-induced sensory neuropathy. JCI Insight 2023; 8:e164646. [PMID: 37347545 PMCID: PMC10443802 DOI: 10.1172/jci.insight.164646] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 06/15/2023] [Indexed: 06/24/2023] Open
Abstract
Vincristine is a widely used chemotherapeutic drug for the treatment of multiple malignant diseases that causes a dose-limiting peripheral neurotoxicity. There is no clinically effective preventative treatment for vincristine-induced sensory peripheral neurotoxicity (VIPN), and mechanistic details of this side effect remain poorly understood. We hypothesized that VIPN is dependent on transporter-mediated vincristine accumulation in dorsal root ganglion neurons. Using a xenobiotic transporter screen, we identified OATP1B3 as a neuronal transporter regulating the uptake of vincristine. In addition, genetic or pharmacological inhibition of the murine orthologue transporter OATP1B2 protected mice from various hallmarks of VIPN - including mechanical allodynia, thermal hyperalgesia, and changes in digital maximal action potential amplitudes and neuronal morphology - without negatively affecting plasma levels or antitumor effects of vincristine. Finally, we identified α-tocopherol from an untargeted metabolomics analysis as a circulating endogenous biomarker of neuronal OATP1B2 function, and it could serve as a companion diagnostic to guide dose selection of OATP1B-type transport modulators given in combination with vincristine to prevent VIPN. Collectively, our findings shed light on the fundamental basis of VIPN and provide a rationale for the clinical development of transporter inhibitors to prevent this debilitating side effect.
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Affiliation(s)
- Yang Li
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
- Division of Outcomes and Translational Sciences, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Thomas Drabison
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
| | - Mahesh Nepal
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
- Division of Outcomes and Translational Sciences, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Richard H. Ho
- Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Alix F. Leblanc
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
| | - Alice A. Gibson
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
| | - Yan Jin
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
| | - Wenjian Yang
- Department of Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Kevin M. Huang
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
| | - Muhammad Erfan Uddin
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
| | - Mingqing Chen
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
| | - Duncan F. DiGiacomo
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
| | - Xihui Chen
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
| | - Sobia Razzaq
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
| | | | - Dana M. McTigue
- The Belford Center for Spinal Cord Injury & Department of Neuroscience, College of Medicine, and
| | - Alice S. Mims
- Division of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Maryam B. Lustberg
- The Breast Center at Smilow Cancer Hospital at Yale, New Haven, Connecticut, USA
| | - Yijia Wang
- Department of Chemistry and Biochemistry & Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - Amanda B. Hummon
- Department of Chemistry and Biochemistry & Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
| | - William E. Evans
- Department of Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - Sharyn D. Baker
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
| | - Guido Cavaletti
- Experimental Neurology Unit and Milan Center for Neuroscience, School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy
| | - Alex Sparreboom
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
| | - Shuiying Hu
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, and
- Division of Outcomes and Translational Sciences, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, USA
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19
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Liu Y, Li S, Feng Y, Zhang Y, Ouyang J, Li S, Wang J, Tan L, Zou L. Serum metabolomic analyses reveal the potential metabolic biomarkers for prediction of amatoxin poisoning. Toxicon 2023; 230:107153. [PMID: 37178797 DOI: 10.1016/j.toxicon.2023.107153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/15/2023]
Abstract
Amatoxin poisoning leads to over 90% of deaths in mushroom poisoning. The objective of present study was to identify the potential metabolic biomarkers for early diagnosis of amatoxin poisoning. Serum samples were collected from 61 patients with amatoxin poisoning and 61 healthy controls. An untargeted metabolomics analysis was performed using the ultra-high-performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry (UPLC-QTOF-MS/MS). Multivariate statistical analysis revealed that the patients with amatoxin poisoning could be clearly separated from healthy controls on the basis of their metabolic fingerprints. There were 33 differential metabolites including 15 metabolites up-regulated metabolites and 18 down-regulated metabolites in patients with amatoxin poisoning compared to healthy controls. These metabolites mainly enriched in the lipid metabolism and amino acid metabolism pathways, such as Glycerophospholipid metabolism, Sphingolipid metabolism, Phenylalanine tyrosine and typtophan biosynthesis, Tyrosine metabolism, Arginine and proline metabolism, which may serve important roles in the amatoxin poisoning. Among the differential metabolites, a total of 8 significant metabolic markers were identified for discriminating patients with amatoxin poisoning from healthy controls, including Glycochenodeoxycholate-3-sulfate (GCDCA-S), 11-Oxo-androsterone glucuronide, Neomenthol-glucuronide, Dehydroisoandrosterone 3-glucuronide, Glucose 6-phosphate (G6P), Lanthionine ketimine, Glycerophosphocholine (GPC) and Nicotinamide ribotide, which achieved satisfactory diagnostic accuracy (AUC>0.8) in both discovery and validation cohorts. Strikingly, the Pearson's correlation analysis indicated that 11-Oxo-androsterone glucuronide, G6P and GCDCA-S were positively correlated with the liver injury induced by amatoxin poisoning. The findings of the current study may provide insight into the pathological mechanism of amatoxin poisoning and screened out the reliable metabolic biomarkers to contribute the clinical early diagnosis of amatoxin poisoning.
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Affiliation(s)
- Yarong Liu
- The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410013, PR China; Institute of Clinical Translational Medicine, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410005, PR China; Key Laboratory of Molecular Epidemiology of Hunan Province, Hunan Normal University, No. 371 Tongzipo Road, Changsha, Hunan, 410013, PR China
| | - Shumei Li
- The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410013, PR China; Institute of Clinical Translational Medicine, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410005, PR China; Key Laboratory of Molecular Epidemiology of Hunan Province, Hunan Normal University, No. 371 Tongzipo Road, Changsha, Hunan, 410013, PR China
| | - Yang Feng
- The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410013, PR China; Institute of Clinical Translational Medicine, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410005, PR China; Key Laboratory of Molecular Epidemiology of Hunan Province, Hunan Normal University, No. 371 Tongzipo Road, Changsha, Hunan, 410013, PR China
| | - Yiyuan Zhang
- Institute of Clinical Translational Medicine, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410005, PR China
| | - Jielin Ouyang
- The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410013, PR China; Institute of Clinical Translational Medicine, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410005, PR China; Key Laboratory of Molecular Epidemiology of Hunan Province, Hunan Normal University, No. 371 Tongzipo Road, Changsha, Hunan, 410013, PR China
| | - Shutong Li
- The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410013, PR China; Institute of Clinical Translational Medicine, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410005, PR China; Key Laboratory of Molecular Epidemiology of Hunan Province, Hunan Normal University, No. 371 Tongzipo Road, Changsha, Hunan, 410013, PR China
| | - Jia Wang
- Institute of Clinical Translational Medicine, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410005, PR China.
| | - Lihong Tan
- Institute of Clinical Translational Medicine, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410005, PR China.
| | - Lianhong Zou
- Institute of Clinical Translational Medicine, The First Affiliated Hospital of Hunan Normal University (Hunan Provincial People's Hospital), Changsha, Hunan, 410005, PR China; Key Laboratory of Molecular Epidemiology of Hunan Province, Hunan Normal University, No. 371 Tongzipo Road, Changsha, Hunan, 410013, PR China.
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20
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Orozco CC, Neuvonen M, Bi YA, Cerny MA, Mathialagan S, Tylaska L, Rago B, Costales C, King-Ahmad A, Niemi M, Rodrigues AD. Characterization of Bile Acid Sulfate Conjugates as Substrates of Human Organic Anion Transporting Polypeptides. Mol Pharm 2023. [PMID: 37134201 DOI: 10.1021/acs.molpharmaceut.3c00040] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Drug interactions involving the inhibition of hepatic organic anion transporting polypeptides (OATPs) 1B1 and OATP1B3 are considered important. Therefore, we sought to study various sulfated bile acids (BA-S) as potential clinical OATP1B1/3 biomarkers. It was determined that BA-S [e.g., glycochenodeoxycholic acid 3-O-sulfate (GCDCA-S) and glycodeoxycholic acid 3-O-sulfate (GDCA-S)] are substrates of OATP1B1, OATP1B3, and sodium-dependent taurocholic acid cotransporting polypeptide (NTCP) transfected into human embryonic kidney 293 cells, with minimal uptake evident for other solute carriers (SLCs) like OATP2B1, organic anion transporter 2, and organic cation transporter 1. It was also shown that BA-S uptake by plated human hepatocytes (PHH) was inhibited (≥96%) by a pan-SLC inhibitor (rifamycin SV), and there was greater inhibition (≥77% versus ≤12%) with rifampicin (OATP1B1/3-selective inhibitor) than a hepatitis B virus myristoylated-preS1 peptide (NTCP-selective inhibitor). Estrone 3-sulfate was also used as an OATP1B1-selective inhibitor. In this instance, greater inhibition was observed with GDCA-S (76%) than GCDCA-S (52%). The study was expanded to encompass the measurement of GCDCA-S and GDCA-S in plasma of SLCO1B1 genotyped subjects. The geometric mean GDCA-S concentration was 2.6-fold (90% confidence interval 1.6, 4.3; P = 2.1 × 10-4) and 1.3-fold (1.1, 1.7; P = 0.001) higher in individuals homozygous and heterozygous for the SLCO1B1 c.521T > C loss-of-function allele, respectively. For GCDCA-S, no significant difference was noted [1.2-fold (0.8, 1.7; P = 0.384) and 0.9-fold (0.8, 1.1; P = 0.190), respectively]. This supported the in vitro data indicating that GDCA-S is a more OATP1B1-selective substrate (versus GCDCA-S). It is concluded that GCDCA-S and GDCA-S are viable plasma-based OATP1B1/3 biomarkers, but they are both less OATP1B1-selective when compared to their corresponding 3-O-glucuronides (GCDCA-3G and GDCA-3G). Additional studies are needed to determine their utility versus more established biomarkers, such as coproporphyrin I, for assessing inhibitors with different OATP1B1 (versus OATP1B3) inhibition signatures.
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Affiliation(s)
- Christine C Orozco
- Pharmacokinetics, Dynamics, and Metabolism, Pfizer Worldwide Research and Development, Groton, Connecticut 06340, United States
| | - Mikko Neuvonen
- Department of Clinical Pharmacology, University of Helsinki, Helsinki FI-00014, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki FI-00014, Finland
| | - Yi-An Bi
- Pharmacokinetics, Dynamics, and Metabolism, Pfizer Worldwide Research and Development, Groton, Connecticut 06340, United States
| | - Matthew A Cerny
- Pharmacokinetics, Dynamics, and Metabolism, Pfizer Worldwide Research and Development, Groton, Connecticut 06340, United States
| | - Sumathy Mathialagan
- Pharmacokinetics, Dynamics, and Metabolism, Pfizer Worldwide Research and Development, Groton, Connecticut 06340, United States
| | - Laurie Tylaska
- Pharmacokinetics, Dynamics, and Metabolism, Pfizer Worldwide Research and Development, Groton, Connecticut 06340, United States
| | - Brian Rago
- Pharmacokinetics, Dynamics, and Metabolism, Pfizer Worldwide Research and Development, Groton, Connecticut 06340, United States
| | - Chester Costales
- Pharmacokinetics, Dynamics, and Metabolism, Pfizer Worldwide Research and Development, Groton, Connecticut 06340, United States
| | - Amanda King-Ahmad
- Pharmacokinetics, Dynamics, and Metabolism, Pfizer Worldwide Research and Development, Groton, Connecticut 06340, United States
| | - Mikko Niemi
- Department of Clinical Pharmacology, University of Helsinki, Helsinki FI-00014, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki FI-00014, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki FI-00029, Finland
| | - A David Rodrigues
- Pharmacokinetics, Dynamics, and Metabolism, Pfizer Worldwide Research and Development, Groton, Connecticut 06340, United States
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21
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Nakatsugawa E, Naito T, Imoto Y, Shibata K, Ono T, Kawakami J. Characterization of endogenous markers of hepatic function in patients receiving itraconazole treatment for prophylaxis of deep mycosis. J Infect Chemother 2023; 29:244-249. [PMID: 36410672 DOI: 10.1016/j.jiac.2022.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 11/05/2022] [Accepted: 11/14/2022] [Indexed: 11/21/2022]
Abstract
BACKGROUND Long-term use of itraconazole (ITZ) is associated with a risk of inducing hepatotoxicity. This study aimed to evaluate the associations of plasma concentrations of ITZ and its hydroxylated metabolite (OH-ITZ) with endogenous markers of hepatic function. METHODS Thirty six patients treated with oral ITZ solution for prophylaxis of deep mycosis were enrolled. Plasma concentrations of ITZ and OH-ITZ were determined on the 14th day or later after administration of ITZ. Their associations with endogenous marker levels of hepatic function including plasma coproporphyrin (CP)-I and OATP1B1 genotypes were assessed. RESULTS The serum level of total bilirubin (T-Bil) was moderately correlated with the plasma concentration of total ITZ (tITZ) and OH-ITZ (tOH-ITZ). T-Bil elevation above 0.3 mg/dL was observed in 19% of patients, although statistically significant difference was not identified. The plasma concentration of tITZ had no correlation with other endogenous markers levels including AST, ALT, albumin, and plasma CP-I. The serum AST and plasma CP-I levels were correlated with the plasma concentration of free OH-ITZ (fOH-ITZ). T-Bil and plasma CP-I, a marker of OATP1B1 activity, were not correlated with each other, and neither was associated with the OATP1B1 genotypes. CONCLUSIONS Plasma ITZ and OH-ITZ had a positive association with T-Bil. The patients with a higher fOH-ITZ level had lower OATP1B1 activity on the basis of plasma CP-I level. ITZ and OH-ITZ have the potential to slightly increase endogenous marker levels of hepatic function, although most likely by different mechanisms.
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Affiliation(s)
- Emi Nakatsugawa
- Department of Hospital Pharmacy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Takafumi Naito
- Department of Hospital Pharmacy, Hamamatsu University School of Medicine, Hamamatsu, Japan; Department of Pharmacy, Shinshu University Hospital, Matsumoto, Nagano, Japan.
| | - Yumi Imoto
- Department of Hospital Pharmacy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Kaito Shibata
- Department of Hospital Pharmacy, Hamamatsu University School of Medicine, Hamamatsu, Japan; Department of Pharmacy, Shinshu University Hospital, Matsumoto, Nagano, Japan
| | - Takaaki Ono
- Division of Hematology, Internal Medicine 3, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Junichi Kawakami
- Department of Hospital Pharmacy, Hamamatsu University School of Medicine, Hamamatsu, Japan
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22
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Yoshida K, Jaochico A, Mao J, Sangaraju D. Glycochenodeoxycholate and glycodeoxycholate 3-O-glucuronides, but not hexadecanedioate and tetradecanedioate, detected weak inhibition of OATP1B caused by GDC-0810 in humans. Br J Clin Pharmacol 2023; 89:1903-1907. [PMID: 36735594 DOI: 10.1111/bcp.15679] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 01/21/2023] [Accepted: 01/24/2023] [Indexed: 02/04/2023] Open
Abstract
Endogenous biomarkers of drug transporters are promising tools to evaluate in vivo transporter function and potential alterations in the pharmacokinetics of their substrates. We have previously reported that coproporphyrin I/III captured the weak inhibition of OATP1B transporters by GDC-0810. In this study, we measured plasma concentrations of additional biomarkers, namely fatty acids, bile acids and their sulphate or glucuronide conjugates in the presence and absence of GDC-0810. Concentrations of hexadecanedioate and tetradecanedioate did not increase in the presence of GDC-0810. Among bile acids and their conjugates, glycochenodeoxycholate and glycodeoxycholate 3-O-glucuronides (GCDCA-3G and GDCA-3G) showed Cmax increases with geometric mean ratio (95% confidence interval) of 1.58 (1.13-2.22) and 1.49 (1.21-1.83), consistent with previous reports from low-dose rifampin co-administration and pharmacogenetic studies. These results suggest that GCDCA-3G and GDCA-3G are two more promising biomarkers that may capture weak OATP1B inhibition in addition to coproporphyrin I/III.
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Affiliation(s)
- Kenta Yoshida
- Clinical Pharmacology, Genentech Inc., South San Francisco, California, USA
| | - Allan Jaochico
- Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California, USA
| | - Jialin Mao
- Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California, USA
| | - Dewakar Sangaraju
- Drug Metabolism and Pharmacokinetics, Genentech Inc., South San Francisco, California, USA
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23
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Watanabe T, Tanaka R, Suzuki Y, Sato H, Negami J, Yoshijima C, Oda A, Ono H, Tatsuta R, Ohno K, Itoh H. Positive correlation between organic anion transporter 1B function indicated by plasma concentration of coproporphyrin-I and blood concentration of cyclosporin A in real-world patients. Br J Clin Pharmacol 2022; 89:1672-1681. [PMID: 36517987 DOI: 10.1111/bcp.15640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 10/20/2022] [Accepted: 11/21/2022] [Indexed: 12/23/2022] Open
Abstract
AIMS Cyclosporin A (CyA) has potent inhibitory activity on organic anion transporting polypeptide 1B (OATP1B), causing drug-drug interactions with its substrate drugs. 3-carboxy-4-methyl-5-propyl-2-furanpropionate (CMPF), a uraemic toxin, has also been suggested to inhibit OATP1B activity. Recent study has identified coproporphyrin-I (CP-I) as a specific endogenous substrate for OATP1B, which is useful to indicate OATP1B activity. We investigated the relationship of CP-I with CyA and CMPF concentrations in patients taking CyA. METHODS In total, 121 blood samples from 74 patients who took CyA and underwent routine therapeutic drug monitoring were divided into trough and peak samples. RESULTS CyA and CP-I concentrations were significantly higher in peak samples than in trough samples. A positive correlation between CP-I and CyA concentrations was found in all samples and in trough and peak samples, while no correlation was observed between CP-I and CMPF concentrations. Multiple regression analysis identified CyA and C-reactive protein concentrations as independent factors affecting CP-I concentration, with blood CyA concentration having markedly greater contribution to plasma CP-I concentration. CONCLUSION The present study suggests that CyA inhibits OATP1B activity in a concentration-dependent manner in clinical setting, and that dose adjustment of OATP1B substrate drugs coadministered with CyA according to plasma CMPF concentration may not be necessary.
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Affiliation(s)
- Takuma Watanabe
- Department of Clinical Pharmacy, Oita University Hospital, Yufu, Oita, Japan
| | - Ryota Tanaka
- Department of Clinical Pharmacy, Oita University Hospital, Yufu, Oita, Japan
| | - Yosuke Suzuki
- Department of Medication Use Analysis and Clinical Research, Meiji Pharmaceutical University, Kiyose, Tokyo, Japan
| | - Haruki Sato
- Department of Medication Use Analysis and Clinical Research, Meiji Pharmaceutical University, Kiyose, Tokyo, Japan
| | - Jun Negami
- Department of Medication Use Analysis and Clinical Research, Meiji Pharmaceutical University, Kiyose, Tokyo, Japan
| | - Chisato Yoshijima
- Department of Medication Use Analysis and Clinical Research, Meiji Pharmaceutical University, Kiyose, Tokyo, Japan
| | - Ayako Oda
- Department of Medication Use Analysis and Clinical Research, Meiji Pharmaceutical University, Kiyose, Tokyo, Japan
| | - Hiroyuki Ono
- Department of Clinical Pharmacy, Oita University Hospital, Yufu, Oita, Japan
| | - Ryosuke Tatsuta
- Department of Clinical Pharmacy, Oita University Hospital, Yufu, Oita, Japan
| | - Keiko Ohno
- Department of Medication Use Analysis and Clinical Research, Meiji Pharmaceutical University, Kiyose, Tokyo, Japan
| | - Hiroki Itoh
- Department of Clinical Pharmacy, Oita University Hospital, Yufu, Oita, Japan
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24
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Jin Y, Li Y, Eisenmann ED, Figg WD, Baker SD, Sparreboom A, Hu S. Determination of the endogenous OATP1B biomarkers glycochenodeoxycholate-3-sulfate and chenodeoxycholate-24-glucuronide in human and mouse plasma by a validated UHPLC-MS/MS method. J Chromatogr B Analyt Technol Biomed Life Sci 2022; 1210:123437. [PMID: 36054985 PMCID: PMC9588625 DOI: 10.1016/j.jchromb.2022.123437] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 08/24/2022] [Accepted: 08/24/2022] [Indexed: 12/11/2022]
Abstract
Glycochenodeoxycholate-3-sulfate (GCDCA-S) and chenodeoxycholate-24-glucuronide (CDCA-24G) are bile acid metabolites that potentially serve as endogenous biomarkers for drug-drug interactions mediated by the hepatic uptake transporters OATP1B1 and OATP1B3. We developed and validated a novel UHPLC-MS/MS method for the quantitative determination of GCDCA-S and CDCA-24G in mouse and human plasma with a lower limit of quantitation of 0.5 ng/mL. Chromatographic separation was achieved on an Accucore aQ column (50 mm × 2.1 mm, dp = 2.6 μm) maintained at 20 °C and a gradient mobile phase comprising 2 mM ammonium acetate in water and methanol. The extraction recoveries of GCDCA-S and CDCA-24G were >80 %, and linear (r2 > 0.99) calibration curves ranged 0.5-100 ng/mL (CDCA-24G and GCDCA-S in mouse plasma) or 0.5-1000 ng/mL (GCDCA-S in mouse plasma). Values for precision (CV < 11.6 %) and accuracy bias (10.9 %) of analyte-spiked quality control samples verified that water was an acceptable matrix to prepare calibrators. This method was successfully applied to establish baseline activity of OATP1B1/OATP1B3 in humans and mice and establish the in vivo effects of OATP1B1/OATP1B3 inhibitors rifampin and micafungin.
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Affiliation(s)
- Yan Jin
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - Yang Li
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - Eric D Eisenmann
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - William D Figg
- Clinical Pharmacology Program, Office of the Clinical Director, National Cancer Institute, Bethesda, MD, USA
| | - Sharyn D Baker
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - Alex Sparreboom
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - Shuiying Hu
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, OH, USA; Division of Outcomes and Translational Sciences, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
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25
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Yoshikado T, Aoki Y, Mochizuki T, Rodrigues AD, Chiba K, Kusuhara H, Sugiyama Y. Cluster Gauss-Newton method analyses of PBPK model parameter combinations of coproporphyrin-I based on OATP1B-mediated rifampicin interaction studies. CPT Pharmacometrics Syst Pharmacol 2022; 11:1341-1357. [PMID: 35945914 PMCID: PMC9574750 DOI: 10.1002/psp4.12849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 07/06/2022] [Accepted: 07/11/2022] [Indexed: 12/02/2022] Open
Abstract
Coproporphyrin I (CP-I) is an endogenous biomarker supporting the prediction of drug-drug interactions (DDIs) involving hepatic organic anion transporting polypeptide 1B (OATP1B). We previously constructed a physiologically-based pharmacokinetic (PBPK) model for CP-I using clinical DDI data with an OATP1B inhibitor, rifampicin (RIF). In this study, PBPK model parameters for CP-I were estimated using the cluster Gauss-Newton method (CGNM), an algorithm used to find multiple approximate solutions for nonlinear least-squares problems. Eight unknown parameters including the hepatic overall intrinsic clearance (CLint,all ), the rate of biosynthesis (vsyn ), and the OATP1B inhibition constant of RIF(Ki,u,OATP ) were estimated by fitting to the observed CP-I blood concentrations in two different clinical studies involving changing the RIF dose. Multiple parameter combinations were obtained by CGNM that could well capture the clinical data. Among those, CLint,all , Ki,u,OATP , and vsyn were sensitive parameters. The obtained Ki,u,OATP for CP-I was 5.0- and 2.8-fold lower than that obtained for statins, confirming our previous findings describing substrate-dependent Ki,u,OATP values. In conclusion, CGNM analyses of PBPK model parameter combinations enables estimation of the three essential parameters for CP-I to capture the DDI profiles, even if the other parameters remain unidentified. The CGNM also clarified the importance of appropriate combinations of other unidentified parameters to enable capture of the CP-I concentration time course under the influence of RIF. The described CGNM approach may also support the construction of robust PBPK models for additional transporter biomarkers beyond CP-I.
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Affiliation(s)
- Takashi Yoshikado
- Laboratory of Clinical PharmacologyYokohama University of PharmacyYokohamaKanagawaJapan
| | - Yasunori Aoki
- Laboratory of Quantitative System Pharmacokinetics/Pharmacodynamics, School of PharmacyJosai International UniversityTokyoJapan,Present address:
AstraZenecaMölndalSweden
| | - Tatsuki Mochizuki
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciencesthe University of TokyoTokyoJapan
| | - A. David Rodrigues
- Transporter Sciences Group, ADME Sciences, Medicine Design, PfizerGrotonConnecticutUSA
| | - Koji Chiba
- Laboratory of Clinical PharmacologyYokohama University of PharmacyYokohamaKanagawaJapan
| | - Hiroyuki Kusuhara
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciencesthe University of TokyoTokyoJapan
| | - Yuichi Sugiyama
- Laboratory of Quantitative System Pharmacokinetics/Pharmacodynamics, School of PharmacyJosai International UniversityTokyoJapan
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26
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Li Y, Jin Y, Taheri H, Schmidt KT, Gibson AA, Buck SAJ, Eisenmann ED, Mathijssen RHJ, Figg WD, Baker SD, Sparreboom A, Hu S. A Metabolomics Approach for Predicting OATP1B-Type Transporter-Mediated Drug–Drug Interaction Liabilities. Pharmaceutics 2022; 14:pharmaceutics14091933. [PMID: 36145680 PMCID: PMC9502272 DOI: 10.3390/pharmaceutics14091933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 09/06/2022] [Accepted: 09/09/2022] [Indexed: 11/16/2022] Open
Abstract
In recent years, various endogenous compounds have been proposed as putative biomarkers for the hepatic uptake transporters OATP1B1 and OATP1B3 that have the potential to predict transporter-mediated drug–drug interactions (DDIs). However, these compounds have often been identified from top–down strategies and have not been fully utilized as a substitute for traditional DDI studies. In an attempt to eliminate observer bias in biomarker selection, we applied a bottom–up, untargeted metabolomics screening approach in mice and found that plasma levels of the conjugated bile acid chenodeoxycholate-24-glucuronide (CDCA-24G) are particularly sensitive to deletion of the orthologous murine transporter Oatp1b2 (31-fold increase vs. wild type) or the entire Oatp1a/1b(−/−)cluster (83-fold increased), whereas the humanized transgenic overexpression of hepatic OATP1B1 or OATP1B3 resulted in the partial restoration of transport function. Validation studies with the OATP1B1/OATP1B3 inhibitors rifampin and paclitaxel in vitro as well as in mice and human subjects confirmed that CDCA-24G is a sensitive and rapid response biomarker to dose-dependent transporter inhibition. Collectively, our study confirmed the ability of CDCA-24G to serve as a sensitive and selective endogenous biomarker of OATP1B-type transport function and suggests a template for the future development of biomarkers for other clinically important xenobiotic transporters.
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Affiliation(s)
- Yang Li
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
- Division of Outcomes and Translational Sciences, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Yan Jin
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Hanieh Taheri
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
- Division of Outcomes and Translational Sciences, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Keith T. Schmidt
- Clinical Pharmacology Program, Office of the Clinical Director, National Cancer Institute, Bethesda, ML 20892, USA
| | - Alice A. Gibson
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Stefan A. J. Buck
- Department of Medical Oncology, Erasmus Medical Center Cancer Institute, Dr. Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Eric D. Eisenmann
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Ron H. J. Mathijssen
- Department of Medical Oncology, Erasmus Medical Center Cancer Institute, Dr. Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - William D. Figg
- Clinical Pharmacology Program, Office of the Clinical Director, National Cancer Institute, Bethesda, ML 20892, USA
| | - Sharyn D. Baker
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Alex Sparreboom
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Shuiying Hu
- Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
- Division of Outcomes and Translational Sciences, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
- Correspondence: ; Tel.: +1-614-685-8028
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Rodrigues AD. Reimagining the Framework Supporting the Static Analysis of Transporter Drug Interaction Risk; Integrated Use of Biomarkers to Generate
Pan‐Transporter
Inhibition Signatures. Clin Pharmacol Ther 2022; 113:986-1002. [PMID: 35869864 DOI: 10.1002/cpt.2713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 07/14/2022] [Indexed: 11/11/2022]
Abstract
Solute carrier (SLC) transporters present as the loci of important drug-drug interactions (DDIs). Therefore, sponsors generate in vitro half-maximal inhibitory concentration (IC50 ) data and apply regulatory agency-guided "static" methods to assess DDI risk and the need for a formal clinical DDI study. Because such methods are conservative and high false-positive rates are likely (e.g., DDI study triggered when liver SLC R value ≥ 1.04 and renal SLC maximal unbound plasma (Cmax,u )/IC50 ratio ≥ 0.02), investigators have attempted to deploy plasma- and urine-based SLC biomarkers in phase I studies to de-risk DDI and obviate the need for drug probe-based studies. In this regard, it was possible to generate in-house in vitro SLC IC50 data for various clinically (biomarker)-qualified perpetrator drugs, under standard assay conditions, and then estimate "% inhibition" for each SLC and relate it empirically to published clinical biomarker data (area under the plasma concentration vs. time curve (AUC) ratio (AUCR, AUCinhibitor /AUCreference ) and % decrease in renal clearance (ΔCLrenal )). After such a "calibration" exercise, it was determined that only compounds with high R values (> 1.5) and Cmax,u /IC50 ratios (> 0.5) are likely to significantly modulate liver (AUCR > 1.25) and renal (ΔCLrenal > 25%) biomarkers and evoke DDI risk. The % inhibition approach supports integration of liver and renal SLC data and allows one to generate pan-SLC inhibition signatures for different test perpetrators (e.g., SLC % inhibition ranking). In turn, such signatures can guide the selection of the most appropriate individual (or combinations of) biomarkers for testing in phase I studies.
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Affiliation(s)
- A. David Rodrigues
- Pharmacokinetics & Drug Metabolism, Medicine Design, Worldwide Research & Development, Pfizer Inc Groton CT USA
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28
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Arya V, Reynolds KS, Yang X. Utilizing Endogenous Biomarkers to Derisk Assessment of Transporter Mediated Drug-Drug Interactions: A Scientific Perspective. J Clin Pharmacol 2022; 62:1501-1506. [PMID: 35778968 DOI: 10.1002/jcph.2119] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Accepted: 06/24/2022] [Indexed: 11/08/2022]
Abstract
Comprehensive characterization of transporter mediated drug-drug interactions (DDIs) is important to formulate clinical management strategies and ensure the safe and effective use of concomitantly administered drugs. The potential of a drug to inhibit transporters is predicted by comparing the ratio of the relevant concentration (depending on the transporter) and the half maximum inhibitory concentration (IC50 ) to a pre-defined "cut off" value. If the ratio is greater than the cut off value, modeling approaches such as Physiologically Based Pharmacokinetic (PBPK) Modeling or a clinical DDI trial may be recommended. Because false positive (in vitro data suggests the potential for a DDI, whereas no significant DDI is observed in vivo) and false negative (in vitro data does not suggest the potential for a DDI, whereas significant DDI is observed in vivo) outcomes have been observed, there is interest in exploring additional approaches to facilitate prediction of transporter mediated DDIs. The idea of assessing changes in the concentration of endogenous biomarkers (which are substrates of clinically relevant transporters) to gain insight on the potential for a drug to inhibit transporter activity has received widespread attention. This brief report describes how endogenous biomarkers may help to expand the DDI assessment toolkit, highlights some current knowledge gaps, and outlines a conceptual framework that may complement the current paradigm of predicting the potential for transporter mediated DDIs. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Vikram Arya
- Division of Infectious Disease Pharmacology, Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Kellie S Reynolds
- Division of Infectious Disease Pharmacology, Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Xinning Yang
- Guidance and Policy Team, Office of Clinical Pharmacology, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA
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29
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Chothe PP, Mitra P, Nakakariya M, Ramsden D, Rotter CJ, Sandoval P, Tohyama K. Novel Insights in Drug Transporter Sciences: the Year 2021 in Review. Drug Metab Rev 2022; 54:299-317. [PMID: 35762758 DOI: 10.1080/03602532.2022.2094944] [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: 11/03/2022]
Abstract
On behalf of the team I am pleased to present the second annual 'novel insights into drug transporter sciences review' focused on peer-reviewed articles that were published in the year 2021. In compiling the articles for inclusion, preprints available in 2021 but officially published in 2022 were considered to be in scope. To support this review the contributing authors independently selected one or two articles that were thought to be impactful and of interest to the broader research community. A similar approach as published last year was adopted whereby key observations, methods and analysis of each paper is concisely summarized in the synopsis followed by a commentary highlighting the impact of the paper in understanding of drug transporters' role in drug disposition.As the goal of this review is not to provide a comprehensive overview of each paper but rather highlight important findings that are well supported by the data, the reader is encouraged to consult the original articles for additional information. Further, and keeping in line with the goals of this review, it should be noted that all authors actively contributed by writing synopsis and commentary for individual papers and no attempt was made to standardize language or writing styles. In this way, the review article is reflective of not only the diversity of the articles but also that of the contributors. I extend my thanks to the authors for their continued support and also welcome Diane Ramsden and Pallabi Mitra as contributing authors for this issue.
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Affiliation(s)
- Paresh P Chothe
- Global Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Inc. (TDCA), 95 Hayden Avenue, Lexington, Massachusetts, 02421, USA
| | - Pallabi Mitra
- Department of Drug Metabolism and Pharmacokinetics, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, Connecticut, USA
| | - Masanori Nakakariya
- Drug Metabolism and Pharmacokinetics Research Laboratories, Takeda Pharmaceutical Company Limited, 26-1, Muraoka-Higashi 2-Chrome, Fujisawa, Kanagawa, 251-8555, Japan
| | - Diane Ramsden
- Drug Metabolism and Pharmacokinetics, Oncology Research and Development, AstraZeneca, 35 Gate House Park, Waltham, Massachusetts, USA
| | - Charles J Rotter
- Global Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Inc. (TDCA), 9625 Towne Centre Drive, San Diego, California, 92121, USA
| | - Philip Sandoval
- Global Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Inc. (TDCA), 95 Hayden Avenue, Lexington, Massachusetts, 02421, USA
| | - Kimio Tohyama
- Global Drug Metabolism and Pharmacokinetics, Takeda Development Center Americas, Inc. (TDCA), 95 Hayden Avenue, Lexington, Massachusetts, 02421, USA
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30
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Takita H, Scotcher D, Chu X, Yee KL, Ogungbenro K, Galetin A. Coproporphyrin I as an Endogenous Biomarker to Detect Reduced OATP1B Activity and Shift in Elimination Route in Chronic Kidney Disease. Clin Pharmacol Ther 2022; 112:615-626. [PMID: 35652251 PMCID: PMC9540787 DOI: 10.1002/cpt.2672] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 05/22/2022] [Indexed: 01/29/2023]
Abstract
Coproporphyrin I (CPI) is an endogenous biomarker of organic anion transporting polypeptide 1B transporter (OATP1B). CPI plasma baseline was reported to increase with severity of chronic kidney disease (CKD). Further, ratio of CPI area under the plasma concentration-time curve (AUCR) in the presence/absence of OATP1B inhibitor rifampin was higher in patients with CKD compared with healthy participants, in contrast to pitavastatin (a clinical OATP1B probe). This study investigated mechanism(s) contributing to altered CPI baseline in patients with CKD by extending a previously developed physiologically-based pharmacokinetic (PBPK) model to this patient population. CKD-related covariates were evaluated in a stepwise manner on CPI fraction unbound in plasma (fu,p ), OATP1B-mediated hepatic uptake clearance (CLactive ), renal clearance (CLR ), and endogenous synthesis (ksyn ). The CPI model successfully recovered increased baseline and rifampin-mediated AUCR in patients with CKD by accounting for the following disease-related changes: 13% increase in fu,p , 29% and 39% decrease in CLactive in mild and moderate to severe CKD, respectively, decrease in CLR proportional to decline in glomerular filtration rate, and 27% decrease in ksyn in severe CKD. Almost complete decline in CPI renal elimination in severe CKD increased its fraction transported by OATP1B, rationalizing differences in the CPI-rifampin interaction observed between healthy participants and patients with CKD. In conclusion, mechanistic modeling performed here supports CKD-related decrease in OATP1B function to inform prospective PBPK modeling of OATP1B-mediated drug-drug interaction in these patients. Monitoring of CPI allows detection of CKD-drug interaction risk for OATP1B drugs with combined hepatic and renal elimination which may be underestimated by extrapolating the interaction risk based on pitavastatin data in healthy participants.
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Affiliation(s)
- Hiroyuki Takita
- Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.,Development Planning, Clinical Development Center, Asahi Kasei Pharma Corporation, Tokyo, Japan
| | - Daniel Scotcher
- Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Xiaoyan Chu
- ADME and Discovery Toxicology, Merck & Co., Inc., Kenilworth, New Jersey, USA
| | - Ka Lai Yee
- Quantitative Pharmacology and Pharmacometrics, Merck & Co., Inc., Kenilworth, New Jersey, USA
| | - Kayode Ogungbenro
- Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Aleksandra Galetin
- Centre for Applied Pharmacokinetic Research, Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
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31
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Mochizuki T, Zamek-Gliszczynski MJ, Yoshida K, Mao J, Taskar K, Hirabayashi H, Chu X, Lai Y, Takashima T, Rockich K, Yamaura Y, Fujiwara K, Mizuno T, Maeda K, Furihata K, Sugiyama Y, Kusuhara H. Effect of Cyclosporin A and Impact of Dose Staggering on OATP1B1/1B3 Endogenous Substrates and Drug Probes for Assessing Clinical Drug Interactions. Clin Pharmacol Ther 2022; 111:1315-1323. [PMID: 35292967 PMCID: PMC9325410 DOI: 10.1002/cpt.2584] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Accepted: 02/28/2022] [Indexed: 12/22/2022]
Abstract
This study was designed to assess the quantitative performance of endogenous biomarkers for organic anion transporting polypeptide (OATP) 1B1/1B3‐mediated drug‐drug interactions (DDIs). Ten healthy volunteers orally received OATP1B1/1B3 probe cocktail (0.2 mg pitavastatin, 1 mg rosuvastatin, and 2 mg valsartan) and an oral dose of cyclosporin A (CysA, 20 mg and 75 mg) separated by a 1‐hour interval (20 mg (−1 hour), and 75 mg (−1 hour)). CysA 75 mg was also given with a 3‐hour interval (75 mg (−3 hours)) to examine the persistence of OATP1B1/1B3 inhibition. The area under the plasma concentration‐time curve ratios (AUCRs) were 1.63, 3.46, and 2.38 (pitavastatin), 1.39, 2.16, and 1.81 (rosuvastatin), and 1.42, 1.77, and 1.85 (valsartan), at 20 mg, 75 mg (−1 hour) and 75 mg (−3 hours) of CysA, respectively. CysA effect on OATP1B1/1B3 was unlikely to persist at the dose examined. Among 26 putative OATP1B1/1B3 biomarkers evaluated, AUCR and maximum concentration ratio (CmaxR) of CP‐I showed the highest Pearson’s correlation coefficient with CysA AUC (0.94 and 0.93, respectively). Correlation between AUCR of pitavastatin, and CmaxR or AUCR of CP‐I were consistent between this study and our previous study using rifampicin as an OATP1B1/1B3 inhibitor. Nonlinear regression analysis of AUCR−1 of pitavastatin and CP‐I against CysA Cmax yielded Ki,OATP1B1/1B3,app (109 ± 35 and 176 ± 42 nM, respectively), similar to the Ki,OATP1B1/1B3 estimated by our physiologically‐based pharmacokinetic model analysis described previously (107 nM). The endogenous OATP1B1/1B3 biomarkers, particularly CmaxR and AUCR of CP‐I, corroborates OATP1B1/1B3 inhibition and yields valuable information that improve accurate DDI predictions in drug development, and enhance our understanding of interindividual variability in the magnitude of DDIs.
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Affiliation(s)
- Tatsuki Mochizuki
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | | | - Kenta Yoshida
- Clinical Pharmacology, Genentech, Inc., South San Francisco, California, USA
| | - Jialin Mao
- Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, California, USA
| | - Kunal Taskar
- Drug Metabolism and Disposition, GlaxoSmithKline, Stevenage, UK
| | - Hideki Hirabayashi
- Drug Metabolism and Pharmacokinetics Research Laboratories, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan
| | | | - Yurong Lai
- Drug Metabolism Department, Gilead Sciences Inc., Foster City, California, USA
| | - Tadayuki Takashima
- Laboratory for Safety Assessment & ADME, Pharmaceuticals Research Center, Asahi Kasei Pharma Corporation, Shizuoka, Japan
| | - Kevin Rockich
- Drug Metabolism, Pharmacokinetics and Clinical Pharmacology, Incyte Research Institute, Wilmington, Delaware, USA
| | - Yoshiyuki Yamaura
- Pharmacokinetic Research Laboratories, Ono Pharmaceutical Co., Ltd, Osaka, Japan
| | - Kaku Fujiwara
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | - Tadahaya Mizuno
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | - Kazuya Maeda
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
| | | | - Yuichi Sugiyama
- Sugiyama Laboratory, RIKEN Baton Zone Program, RIKEN Cluster for Science, Technology and Innovation Hub, RIKEN, Yokohama, Kanagawa, Japan
| | - Hiroyuki Kusuhara
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan
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32
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Lai Y, Chu X, Di L, Gao W, Guo Y, Liu X, Lu C, Mao J, Shen H, Tang H, Xia CQ, Zhang L, Ding X. Recent advances in the translation of drug metabolism and pharmacokinetics science for drug discovery and development. Acta Pharm Sin B 2022; 12:2751-2777. [PMID: 35755285 PMCID: PMC9214059 DOI: 10.1016/j.apsb.2022.03.009] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 11/07/2021] [Accepted: 11/10/2021] [Indexed: 02/08/2023] Open
Abstract
Drug metabolism and pharmacokinetics (DMPK) is an important branch of pharmaceutical sciences. The nature of ADME (absorption, distribution, metabolism, excretion) and PK (pharmacokinetics) inquiries during drug discovery and development has evolved in recent years from being largely descriptive to seeking a more quantitative and mechanistic understanding of the fate of drug candidates in biological systems. Tremendous progress has been made in the past decade, not only in the characterization of physiochemical properties of drugs that influence their ADME, target organ exposure, and toxicity, but also in the identification of design principles that can minimize drug-drug interaction (DDI) potentials and reduce the attritions. The importance of membrane transporters in drug disposition, efficacy, and safety, as well as the interplay with metabolic processes, has been increasingly recognized. Dramatic increases in investments on new modalities beyond traditional small and large molecule drugs, such as peptides, oligonucleotides, and antibody-drug conjugates, necessitated further innovations in bioanalytical and experimental tools for the characterization of their ADME properties. In this review, we highlight some of the most notable advances in the last decade, and provide future perspectives on potential major breakthroughs and innovations in the translation of DMPK science in various stages of drug discovery and development.
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Affiliation(s)
- Yurong Lai
- Drug Metabolism, Gilead Sciences Inc., Foster City, CA 94404, USA
| | - Xiaoyan Chu
- Department of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc., Kenilworth, NJ 07033, USA
| | - Li Di
- Pharmacokinetics, Dynamics and Metabolism, Pfizer Worldwide Research and Development, Groton, CT 06340, USA
| | - Wei Gao
- Department of Pharmacokinetics, Pharmacodynamics and Drug Metabolism, Merck & Co., Inc., Kenilworth, NJ 07033, USA
| | - Yingying Guo
- Eli Lilly and Company, Indianapolis, IN 46221, USA
| | - Xingrong Liu
- Drug Metabolism and Pharmacokinetics, Biogen, Cambridge, MA 02142, USA
| | - Chuang Lu
- Drug Metabolism and Pharmacokinetics, Accent Therapeutics, Inc. Lexington, MA 02421, USA
| | - Jialin Mao
- Department of Drug Metabolism and Pharmacokinetics, Genentech, A Member of the Roche Group, South San Francisco, CA 94080, USA
| | - Hong Shen
- Drug Metabolism and Pharmacokinetics Department, Bristol-Myers Squibb Company, Princeton, NJ 08540, USA
| | - Huaping Tang
- Bioanalysis and Biomarkers, Glaxo Smith Kline, King of the Prussia, PA 19406, USA
| | - Cindy Q. Xia
- Department of Drug Metabolism and Pharmacokinetics, Takeda Pharmaceuticals International Co., Cambridge, MA 02139, USA
| | - Lei Zhang
- Office of Research and Standards, Office of Generic Drugs, CDER, FDA, Silver Spring, MD 20993, USA
| | - Xinxin Ding
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Arizona, Tucson, AZ 85721, USA
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33
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Takubo H, Bessho K, Watari R, Shigemi R. Quantitative prediction of OATP1B-mediated drug-drug interactions using endogenous biomarker coproporphyrin I. Xenobiotica 2022; 52:397-404. [PMID: 35638858 DOI: 10.1080/00498254.2022.2085210] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
1. Evaluation of the organic anion transporting polypeptide (OATP) 1B-mediated drug-drug interaction (DDI) potential is important for drug development. The focus of this study was coproporphyrin I (CP-I), an endogenous OATP1B biomarker.2. We investigated a new approach to OATP1B-mediated DDI prediction based on the mechanistic static pharmacokinetics (MSPK) model.3. The ratio of the area under the plasma concentration-time curve (AUCR) with and without co-administration of rifampicin (a typical OATP1B inhibitor) was found for CP-I and OATP1B substrate, respectively, and was then used to derive the correlation curve equation. The AUCR with and without co-administration of another OATP1B inhibitor than rifampicin was then predicted for the OATP1B substrates by substituting the AUCR of CP-I in the correlation curve equation to verify the predictability of the AUCR of the OATP1B substrates.4. The derived correlation curve equation between CP-I and the OATP1B substrates of the AUCRs with and without co-administration of rifampicin matched the observed AUCRs well. Regarding pitavastatin, rosuvastatin and pravastatin, 92.9% of the predicted AUCR values were within a two-fold range of the observed values, indicating that this approach may be a good way to quantitatively predict DDI potential.
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Affiliation(s)
- Hiroaki Takubo
- Japan Pharmaceutical Manufacturers Association.,Torii Pharmaceutical Co., Ltd., Osaka, Japan
| | - Koji Bessho
- Japan Pharmaceutical Manufacturers Association.,Asahi Kasei Pharma Corporation, Shizuoka, Japan
| | - Ryosuke Watari
- Japan Pharmaceutical Manufacturers Association.,Shionogi & Co., Ltd., Osaka, Japan
| | - Ryota Shigemi
- Japan Pharmaceutical Manufacturers Association.,Bayer Yakuhin, Ltd., Osaka, Japan
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34
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Mochizuki T, Aoki Y, Yoshikado T, Yoshida K, Lai Y, Hirabayashi H, Yamaura Y, Rockich K, Taskar K, Takashima T, Chu X, Zamek-Gliszczynski MJ, Mao J, Maeda K, Furihata K, Sugiyama Y, Kusuhara H. Physiologically-based pharmacokinetic model-based translation of OATP1B-mediated drug-drug interactions from coproporphyrin I to probe drugs. Clin Transl Sci 2022; 15:1519-1531. [PMID: 35421902 DOI: 10.1111/cts.13272] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Revised: 02/08/2022] [Accepted: 02/13/2022] [Indexed: 11/28/2022] Open
Abstract
The accurate prediction of OATP1B-mediated drug-drug interactions (DDIs) is challenging for drug development. Here, we report physiologically-based pharmacokinetic (PBPK) model analysis for clinical DDI data generated in heathy subjects who received oral doses of cyclosporin A (CysA; 20 and 75 mg) as an OATP1B inhibitor, and the probe drugs (pitavastatin, rosuvastatin and valsartan). PBPK models of CysA and probe compounds were combined assuming inhibition of hepatic uptake of endogenous coproporphyrin I (CP-I) by CysA. In vivo Ki of unbound CysA for OATP1B (Ki,OATP1B ), and the overall intrinsic hepatic clearance per body weight of CP-I (CLint,all,unit ) were optimized to account for the CP-I data (Ki,OATP1B , 0.657 ± 0.048 nM; CLint,all,unit , 57.0 ± 6.3 L/h/kg). DDI simulation using Ki,OATP1B reproduced the dose-dependent effect of CysA (20 and 75 mg) and the dosing interval (1 h and 3 h) on the time profiles of blood concentrations of pitavastatin and rosuvastatin, but DDI simulation using in vitro Ki,OATP1B failed. The Cluster Gauss-Newton method was used to conduct parameter optimization using 1,000 initial parameter sets for the seven pharmacokinetic parameters of CP-I (β, CLint,all , Fa Fg , Rdif , fbile , fsyn , and vsyn ), and Ki,OATP1B , and Ki,MRP2 of CysA. Based on the accepted 498 parameter sets, the range of CLint,all and Ki,OATP1B was narrowed, with coefficients of variation (CVs) of 9.3% and 11.1%, respectively, indicating that these parameters were practically identifiable. These results suggest that PBPK model analysis of CP-I is a promising translational approach to predict OATP1B-mediated DDIs in drug development.
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Affiliation(s)
- Tatsuki Mochizuki
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo
| | - Yasunori Aoki
- Laboratory of quantitative system pharmacokinetics / pharmacodynamics, Josai International University, School of Pharmacy, Tokyo, Japan
| | - Takashi Yoshikado
- Laboratory of Clinical Pharmacology, Yokohama University of Pharmacy, Yokohama, Kanagawa, Japan
| | - Kenta Yoshida
- Clinical Pharmacology, Genentech, Inc., South San Francisco, California, USA
| | - Yurong Lai
- Drug Metabolism, Gilead Sciences Inc., Foster City, California, USA
| | - Hideki Hirabayashi
- Drug Metabolism and Pharmacokinetics Research Laboratories, Research, Takeda Pharmaceutical Company Limited, Kanagawa, Japan
| | - Yoshiyuki Yamaura
- Pharmacokinetic Research Laboratories , Ono Pharmaceutical Co., Ltd., Osaka, Japan
| | - Kevin Rockich
- Drug Metabolism, Pharmacokinetics and Clinical Pharmacology, Incyte Research Institute, Wilmington, Delaware, USA
| | - Kunal Taskar
- Drug Metabolism and Pharmacokinetics, IVIVT, GlaxoSmithKline, Stevenage, UK
| | - Tadayuki Takashima
- Laboratory for Safety Assessment & ADME, Pharmaceuticals Research Center, Asahi Kasei Pharma Corporation, Shizuoka, Japan
| | - Xiaoyan Chu
- Department of Pharmacokinetics, Pharmacodynamics & Drug Metabolism, Merck & Co., Inc., Kenilworth, NJ, USA
| | | | - Jialin Mao
- Drug Metabolism and Pharmacokinetics, Genentech, Inc., South San Francisco, California, USA
| | - Kazuya Maeda
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo
| | | | - Yuichi Sugiyama
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo.,Laboratory of quantitative system pharmacokinetics / pharmacodynamics, Josai International University, School of Pharmacy, Tokyo, Japan
| | - Hiroyuki Kusuhara
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo
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35
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Ryder TF, Bergman A, King-Ahmad A, Amin NB, Lall MS, Ballard TE, Kalgutkar AS. Pharmacokinetics, Mass Balance, Metabolism, and Excretion of the Liver-Targeted Acetyl-CoA Carboxylase Inhibitor PF-05221304 (Clesacostat) in Humans. Xenobiotica 2022; 52:240-253. [PMID: 35382680 DOI: 10.1080/00498254.2022.2062487] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The disposition of the hepatoselective ACC inhibitor PF-05221304 (Clesacostat) was studied after a single 50-mg oral dose of [14C]-PF-05221304 to healthy human subjects.Mass balance was achieved with 89.9% of the administered dose recovered in urine and faeces, over the 11-day study period. The total administered radioactivity excreted in faeces and urine was 81.7% and 8.2%, respectively. Unchanged PF-05221304 accounted for 35.6% of the radioactive dose in faeces, suggesting ∼64% of the administered dose was absorbed.PF-05221304 was principally metabolized via oxidative and reductive pathways involving: (a) N-dealkylation, (b) isopropyl group monohydroxylation to yield enantiomeric metabolites (M2a and M2b), (c) hydroxylation on the 3-azaspiro[5.5]undecan-8-one moiety to metabolites M5 and 519c, and (d) carbonyl group reduction to enantiomeric alcohol metabolites M3, and M4. Secondary metabolites (521a, 521b, and 533), derived from a combination of oxidation and reduction of the primary metabolites accounted for ∼14.8% of the dose. In plasma, unchanged PF-05221304 represented 96.1% circulating radioactivity. Metabolites M1, M2b, and M2a represented 1.94, 1.76, and 0.18% of circulating radioactivity, respectively.Overall, these data suggest that PF-05221304 is well absorbed in humans and eliminated largely via phase I metabolism.
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Affiliation(s)
- Tim F Ryder
- Pfizer Worldwide Research, Development, and Medical, Groton, Connecticut, USA
| | - Arthur Bergman
- Pfizer Worldwide Research, Development, and Medical, Cambridge, Massachusetts, USA
| | - Amanda King-Ahmad
- Pfizer Worldwide Research, Development, and Medical, Groton, Connecticut, USA
| | - Neeta B Amin
- Pfizer Worldwide Research, Development, and Medical, Cambridge, Massachusetts, USA
| | - Manjinder S Lall
- Pfizer Worldwide Research, Development, and Medical, Groton, Connecticut, USA
| | - T Eric Ballard
- Pfizer Worldwide Research, Development, and Medical, Groton, Connecticut, USA
| | - Amit S Kalgutkar
- Pfizer Worldwide Research, Development, and Medical, Cambridge, Massachusetts, USA
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36
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Tess DA, Kimoto E, King-Ahmad A, Vourvahis M, Rodrigues AD, Bergman A, Qui R, Somayaji V, Weng Y, Fonseca KR, Litchfield J, Varma MVS. Effect of a Ketohexokinase Inhibitor (PF-06835919) on In Vivo OATP1B Activity: Integrative Risk Assessment Using Endogenous Biomarker and a Probe Drug. Clin Pharmacol Ther 2022; 112:605-614. [PMID: 35355249 DOI: 10.1002/cpt.2593] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 03/20/2022] [Indexed: 12/17/2022]
Abstract
PF-06835919 is a first-in-class ketohexokinase inhibitor (KHKi), recently under development for the treatment of metabolic and fatty liver diseases, which inhibited organic anion transporting polypeptide (OATP)1B1 in vitro and presented drug-drug interaction (DDI) risk. This study aims to investigate the dose-dependent effect of KHKi on OATP1B in vivo activity. We performed an open-label study comparing pharmacokinetics of atorvastatin (OATP1B probe) dosed alone (20 mg single dose) and coadministered with two dose strengths of KHKi (50 and 280 mg once daily) in 12 healthy participants. Additionally, changes in exposure of coproporphyrin-I (CP-I), an endogenous biomarker for OATP1B, were assessed in the atorvastatin study (1.12-fold and 1.49-fold increase in area under the plasma concentration-time profile (AUC) with once-daily 50 and 280 mg, respectively), and a separate single oral dose study of KHKi alone (100-600 mg, n = 6 healthy participants; up to a 1.80-fold increase in AUC). Geometric mean ratios (90% confidence interval) of atorvastatin (area under the plasma concentration - time profile from time 0 extrapolated to infinite time) AUCinf following 50 and 280 mg KHKi were 1.14 (1.00-1.30) and 1.54 (1.37-1.74), respectively. Physiologically-based pharmacokinetic modeling of CP-I plasma exposure following a single dose of KHKi predicted in vivo OATP1B inhibition from about 13% to 70% over the 100 to 600 mg dose range, while using the in vitro inhibition potency (1.9 µM). Model-based analysis correctly predicted "no-effect" (AUC ratio < 1.25) at the low dose range and "weak" effect (AUC ratio < 2) on atorvastatin pharmacokinetics at the high dose range of KHKi. This study exemplified the utility of biomarker-informed model-based approach in discerning even small effects on OATP1B activity in vivo, and to project DDI risk at the clinically relevant doses.
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Affiliation(s)
- David A Tess
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide Research & Development, Pfizer Inc., Cambridge, Massachusetts, USA
| | - Emi Kimoto
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide Research & Development, Pfizer Inc., Groton, Connecticut, USA
| | - Amanda King-Ahmad
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide Research & Development, Pfizer Inc., Groton, Connecticut, USA
| | - Manoli Vourvahis
- Clinical Pharmacology, Global Product Development, Pfizer Inc., New York, New York, USA
| | - A David Rodrigues
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide Research & Development, Pfizer Inc., Groton, Connecticut, USA
| | - Arthur Bergman
- Clinical Pharmacology, Early Clinical Development, Pfizer Inc., Cambridge, Massachusetts, USA
| | - Ruolun Qui
- Clinical Pharmacology, Early Clinical Development, Pfizer Inc., Cambridge, Massachusetts, USA
| | - Veena Somayaji
- Clinical Biostatistics, Early Clinical Development, Pfizer Inc., Cambridge, Massachusetts, USA
| | - Yan Weng
- Clinical Pharmacology, Early Clinical Development, Pfizer Inc., Cambridge, Massachusetts, USA
| | - Kari R Fonseca
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide Research & Development, Pfizer Inc., Cambridge, Massachusetts, USA
| | - John Litchfield
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide Research & Development, Pfizer Inc., Cambridge, Massachusetts, USA
| | - Manthena V S Varma
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide Research & Development, Pfizer Inc., Groton, Connecticut, USA
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Vourvahis M, Byon W, Chang C, Le V, Diehl A, Graham D, Tripathy S, Raha N, Luo L, Mathialagan S, Dowty M, Rodrigues AD, Malhotra B. Evaluation of the Effect of Abrocitinib on Drug Transporters by Integrated Use of Probe Drugs and Endogenous Biomarkers. Clin Pharmacol Ther 2022; 112:665-675. [PMID: 35344588 PMCID: PMC9540496 DOI: 10.1002/cpt.2594] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 03/14/2022] [Indexed: 12/29/2022]
Abstract
Abrocitinib is an oral Janus kinase 1 (JAK1) inhibitor currently approved in the United Kingdom for the treatment of moderate‐to‐severe atopic dermatitis (AD). As patients with AD may use medications to manage comorbidities, abrocitinib could be used concomitantly with hepatic and/or renal transporter substrates. Therefore, we assessed the potential effect of abrocitinib on probe drugs and endogenous biomarker substrates for the drug transporters of interest. In vitro studies indicated that, among the transporters tested, abrocitinib has the potential to inhibit the activities of P‐glycoprotein (P‐gp), breast cancer resistance protein (BCRP), organic anion transporter 3 (OAT3), organic cation transporter 1 (OCT1), and multidrug and toxin extrusion protein 1 and 2K (MATE1/2K). Therefore, subsequent phase I, two‐way crossover, open‐label studies in healthy participants were performed to assess the impact of abrocitinib on the pharmacokinetics of the transporter probe substrates dabigatran etexilate (P‐gp), rosuvastatin (BCRP and OAT3), and metformin (OCT2 and MATE1/2K), as well as endogenous biomarkers for MATE1/2K (N1‐methylnicotinamide (NMN)) and OCT1 (isobutyryl‐L‐carnitine (IBC)). Co‐administration with abrocitinib was shown to increase the plasma exposure of dabigatran by ~ 50%. In comparison, the plasma exposure and renal clearance of rosuvastatin and metformin were not altered with abrocitinib co‐administration. Similarly, abrocitinib did not affect the exposure of NMN or IBC. An increase in dabigatran exposure suggests that abrocitinib inhibits P‐gp activity. By contrast, a lack of impact on plasma exposure and/or renal clearance of rosuvastatin, metformin, NMN, or IBC suggests that BCRP, OAT3, OCT1, and MATE1/2K activity are unaffected by abrocitinib.
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Affiliation(s)
| | | | | | - Vu Le
- Pfizer Inc., New York, New York, USA
| | | | | | | | | | - Lina Luo
- Pfizer Inc., Groton, Connecticut, USA
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38
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Clinical evaluation of [18F]pitavastatin for quantitative analysis of hepatobiliary transporter activity. Drug Metab Pharmacokinet 2022; 44:100449. [DOI: 10.1016/j.dmpk.2022.100449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 12/21/2021] [Accepted: 01/25/2022] [Indexed: 11/23/2022]
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39
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Järvinen E, Deng F, Kiander W, Sinokki A, Kidron H, Sjöstedt N. The Role of Uptake and Efflux Transporters in the Disposition of Glucuronide and Sulfate Conjugates. Front Pharmacol 2022; 12:802539. [PMID: 35095509 PMCID: PMC8793843 DOI: 10.3389/fphar.2021.802539] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 12/06/2021] [Indexed: 12/11/2022] Open
Abstract
Glucuronidation and sulfation are the most typical phase II metabolic reactions of drugs. The resulting glucuronide and sulfate conjugates are generally considered inactive and safe. They may, however, be the most prominent drug-related material in the circulation and excreta of humans. The glucuronide and sulfate metabolites of drugs typically have limited cell membrane permeability and subsequently, their distribution and excretion from the human body requires transport proteins. Uptake transporters, such as organic anion transporters (OATs and OATPs), mediate the uptake of conjugates into the liver and kidney, while efflux transporters, such as multidrug resistance proteins (MRPs) and breast cancer resistance protein (BCRP), mediate expulsion of conjugates into bile, urine and the intestinal lumen. Understanding the active transport of conjugated drug metabolites is important for predicting the fate of a drug in the body and its safety and efficacy. The aim of this review is to compile the understanding of transporter-mediated disposition of phase II conjugates. We review the literature on hepatic, intestinal and renal uptake transporters participating in the transport of glucuronide and sulfate metabolites of drugs, other xenobiotics and endobiotics. In addition, we provide an update on the involvement of efflux transporters in the disposition of glucuronide and sulfate metabolites. Finally, we discuss the interplay between uptake and efflux transport in the intestine, liver and kidneys as well as the role of transporters in glucuronide and sulfate conjugate toxicity, drug interactions, pharmacogenetics and species differences.
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Affiliation(s)
- Erkka Järvinen
- Clinical Pharmacology, Pharmacy, and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Feng Deng
- Department of Clinical Pharmacology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Wilma Kiander
- Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Alli Sinokki
- Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Heidi Kidron
- Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
| | - Noora Sjöstedt
- Division of Pharmaceutical Biosciences, Faculty of Pharmacy, University of Helsinki, Helsinki, Finland
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40
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Liu L, Yang Y, Li W, Li Y, Jiang X, Wang L. Tanshinone IIA alleviate rifampicin-induced cholestasis by regulating the expression and function of bile salt export pump. Hum Exp Toxicol 2022; 41:9603271221097365. [PMID: 35544702 DOI: 10.1177/09603271221097365] [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: 12/30/2022]
Abstract
Objective: Rifampicin (RFP) induces cholestasis due to long-term tubercular therapy. Impairment of the canalicular bile acids efflux via the bile salt export pump (BSEP) is a well-recognized cause of cholestasis. Tanshinone IIA (TAN IIA) has a protective effect on the liver. However, there are limited studies on the effects of RFP and TAN IIA on BSEP. In present study, we aimed to elucidate the effects of RFP and TAN IIA on BSEP and provide evidence to support the treatment of RFP-induced cholestasis with TAN IIA. Methods: Firstly, liver histopathological examination and serum biochemical tests were evaluated in rats. Secondly, we evaluated BSEP expression by qRT-PCR and western blotting to explore whether RFP and TAN IIA influence liver function through BSEP. Thirdly, the accumulation of BSEP substrate taurocholic acid (TCA) in bile ducts was determined to investigate the effects of RFP and TAN IIA on BSEP function. Results: Apparent histopathological alterations and significantly increased serum biomarkers were observed in the RFP group (200 mg/kg), while these changes were attenuated in the combination groups. The mRNA and protein levels of BSEP were decreased by RFP. Whereas TAN IIA reversed the downward regulation of BSEP caused by RFP. And RFP primarily inhibited TCA excretion but co-administration of TAN IIA markedly induced TCA excretion mediated by BSEP. Conclusion: Our findings collectively demonstrated that RFP-induced cholestasis could be related to the inhibition of BSEP, and TAN IIA had the potential to prevent RFP-induced cholestasis by regulating BSEP.
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Affiliation(s)
- L Liu
- Department of Pharmacy, The Eighth Affiliated Hospital, 575842Sun Yat-sen University, Shenzhen, China.,Department of Clinical Pharmacy and Pharmacy Administration, Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry, West China School of Pharmacy, 535321Sichuan University, Chengdu, China
| | - Y Yang
- Department of Clinical Pharmacy and Pharmacy Administration, Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry, West China School of Pharmacy, 535321Sichuan University, Chengdu, China.,Department of Pharmacy, College of Medicine, 159411The Third People's Hospital of Chengdu, Southwest Jiaotong University, Chengdu, China
| | - W Li
- Department of Pharmacy, The Eighth Affiliated Hospital, 575842Sun Yat-sen University, Shenzhen, China
| | - Y Li
- Department of Pharmacy, The Eighth Affiliated Hospital, 575842Sun Yat-sen University, Shenzhen, China
| | - X Jiang
- Department of Clinical Pharmacy and Pharmacy Administration, Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry, West China School of Pharmacy, 535321Sichuan University, Chengdu, China
| | - L Wang
- Department of Clinical Pharmacy and Pharmacy Administration, Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry, West China School of Pharmacy, 535321Sichuan University, Chengdu, China
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Hashimoto Y, Michiba K, Maeda K, Kusuhara H. Quantitative prediction of pharmacokinetic properties of drugs in humans: Recent advance in in vitro models to predict the impact of efflux transporters in the small intestine and blood-brain barrier. J Pharmacol Sci 2021; 148:142-151. [PMID: 34924119 DOI: 10.1016/j.jphs.2021.10.010] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 10/17/2021] [Accepted: 10/20/2021] [Indexed: 12/12/2022] Open
Abstract
Efflux transport systems are essential to suppress the absorption of xenobiotics from the intestinal lumen and protect the critical tissues at the blood-tissue barriers, such as the blood-brain barrier. The function of drug efflux transport is dominated by various transporters. Accumulated clinical evidences have revealed that genetic variations of the transporters, together with coadministered drugs, affect the expression and/or function of transporters and subsequently the pharmacokinetics of substrate drugs. Thus, in the preclinical stage of drug development, quantitative prediction of the impact of efflux transporters as well as that of uptake transporters and metabolic enzymes on the pharmacokinetics of drugs in humans has been performed using various in vitro experimental tools. Various kinds of human-derived cell systems can be applied to the precise prediction of drug transport in humans. Mathematical modeling consisting of each intrinsic metabolic or transport process enables us to understand the disposition of drugs both at the organ level and at the level of the whole body by integrating a variety of experimental results into model parameters. This review focuses on the role of efflux transporters in the intestinal absorption and brain distribution of drugs, in addition to recent advances in predictive tools and methodologies.
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Affiliation(s)
- Yoshiki Hashimoto
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Kazuyoshi Michiba
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | - Kazuya Maeda
- Laboratory of Pharmaceutics, Kitasato University School of Pharmacy, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan
| | - Hiroyuki Kusuhara
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
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42
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Shen H, Yang Z, Rodrigues AD. Cynomolgus Monkey as an Emerging Animal Model to Study Drug Transporters: In Vitro, In Vivo, In Vitro-To-In Vivo Translation. Drug Metab Dispos 2021; 50:299-319. [PMID: 34893475 DOI: 10.1124/dmd.121.000695] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 12/06/2021] [Indexed: 11/22/2022] Open
Abstract
Membrane transporters have been recognized as one of the key determinants of pharmacokinetics and are also known to affect the efficacy and toxicity of drugs. Both qualitatively and quantitatively, however, transporter studies conducted using human in vitro systems have not always been predictive. Consequently, researchers have utilized cynomolgus monkeys as a model to study drug transporters and anticipate their effects in humans. Burgeoning reports of data in the last few years necessitates a comprehensive review on the topic of drug transporters in cynomolgus monkeys that includes cell-based tools, sequence homology, tissue expression, in vitro studies, in vivo studies, and in vitro-to-in vivo extrapolation (IVIVE). This review highlights the state-of-the-art applications of monkey transporter models to support the evaluation of transporter-mediated drug-drug interactions, clearance predictions, and endogenous transporter biomarker identification and validation. The data demonstrate that cynomolgus monkey transporter models, when used appropriately, can be an invaluable tool to support drug discovery and development processes. Most importantly, they provide an early IVIVE assessment which provides additional context to human in vitro data. Additionally, comprehending species similarities and differences in transporter tissue expression and activity is crucial when translating monkey data to humans. The challenges and limitations when applying such models to inform decision-making must also be considered. Significance Statement This paper presents a comprehensive review of currently available published reports describing cynomolgus monkey transporter models. The data indicate that cynomolgus monkeys provide mechanistic insight regarding the role of intestinal, hepatic, and renal transporters in drug and biomarker disposition and drug interactions. It is concluded that the data generated with cynomolgus monkey models provide mechanistic insight regarding transporter-mediated absorption and disposition, as well as human clearance prediction, drug-drug interaction assessment, and endogenous biomarker development related to drug transporters.
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Affiliation(s)
- Hong Shen
- Drug Metabolism and Pharmacokinetics, Bristol Myers Squibb, United States
| | - Zheng Yang
- Metabolism and Pharmacokinetics, Bristol-Myers Squibb Co., United States
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Predicting Drug-Drug Interactions between Rifampicin and Ritonavir-Boosted Atazanavir Using PBPK Modelling. Clin Pharmacokinet 2021; 61:375-386. [PMID: 34635995 PMCID: PMC9481493 DOI: 10.1007/s40262-021-01067-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/09/2021] [Indexed: 01/12/2023]
Abstract
Objectives The aim of this study was to simulate the drug–drug interaction (DDI) between ritonavir-boosted atazanavir (ATV/r) and rifampicin (RIF) using physiologically based pharmacokinetic (PBPK) modelling, and to predict suitable dose adjustments for ATV/r for the treatment of people living with HIV (PLWH) co-infected with tuberculosis. Methods A whole-body DDI PBPK model was designed using Simbiology 9.6.0 (MATLAB R2019a) and verified against reported clinical data for all drugs administered alone and concomitantly. The model contained the induction mechanisms of RIF and ritonavir (RTV), the inhibition effect of RTV for the enzymes involved in the DDI, and the induction and inhibition mechanisms of RIF and RTV on the uptake and efflux hepatic transporters. The model was considered verified if the observed versus predicted pharmacokinetic values were within twofold. Alternative ATV/r dosing regimens were simulated to achieve the trough concentration (Ctrough) clinical cut-off of 150 ng/mL. Results The PBPK model was successfully verified according to the criteria. Simulation of different dose adjustments predicted that a change in regimen to twice-daily ATV/r (300/100 or 300/200 mg) may alleviate the induction effect of RIF on ATV Ctrough, with > 95% of individuals predicted to achieve Ctrough above the clinical cut-off. Conclusions The developed PBPK model characterized the induction-mediated DDI between RIF and ATV/r, accurately predicting the reduction of ATV plasma concentrations in line with observed clinical data. A change in the ATV/r dosing regimen from once-daily to twice-daily was predicted to mitigate the effect of the DDI on the Ctrough of ATV, maintaining plasma concentration levels above the therapeutic threshold for most patients. Supplementary Information The online version contains supplementary material available at 10.1007/s40262-021-01067-1.
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Kimoto E, Costales C, West MA, Bi YA, Vourvahis M, David Rodrigues A, Varma MVS. Biomarker-Informed Model-Based Risk Assessment of Organic Anion Transporting Polypeptide 1B Mediated Drug-Drug Interactions. Clin Pharmacol Ther 2021; 111:404-415. [PMID: 34605015 DOI: 10.1002/cpt.2434] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Accepted: 09/15/2021] [Indexed: 11/08/2022]
Abstract
Quantitative prediction of drug-drug interactions (DDIs) involving organic anion transporting polypeptide (OATP)1B1/1B3 inhibition is limited by uncertainty in the translatability of experimentally determined in vitro inhibition potency (half-maximal inhibitory concentration (IC50 )). This study used an OATP1B endogenous biomarker-informed physiologically-based pharmacokinetic (PBPK) modeling approach to predict the effect of inhibitor drugs on the pharmacokinetics (PKs) of OATP1B substrates. Initial static analysis with about 42 inhibitor drugs, using in vitro IC50 values and unbound liver inlet concentrations (Iin,max,u ), suggested in vivo OATP1B inhibition risk for drugs with R-value (1+ Iin,max,u /IC50 ) above 1.5. A full-PBPK model accounting for transporter-mediated hepatic disposition was developed for coproporphyrin I (CP-I), an endogenous OATP1B biomarker. For several inhibitors (cyclosporine, diltiazem, fenebrutinib, GDC-0810, itraconazole, probenecid, and rifampicin at 3 different doses), PBPK models were developed and verified against available CP-I plasma exposure data to obtain in vivo OATP1B inhibition potency-which tend to be lower than the experimentally measured in vitro IC50 by about 2-fold (probenecid and rifampicin) to 37-fold (GDC-0810). Models verified with CP-I data are subsequently used to predict DDIs with OATP1B probe drugs, rosuvastatin and pitavastatin. The predicted and observed area under the plasma concentration-time curve ratios are within 20% error in 55% cases, and within 30% error in 89% cases. Collectively, this comprehensive study illustrates the adequacy and utility of endogenous biomarker-informed PBPK modeling in mechanistic understanding and quantitative predictions of OATP1B-mediated DDIs in drug development.
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Affiliation(s)
- Emi Kimoto
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide R&D, Pfizer Inc, Groton, Connecticut, USA
| | - Chester Costales
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide R&D, Pfizer Inc, Groton, Connecticut, USA
| | - Mark A West
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide R&D, Pfizer Inc, Groton, Connecticut, USA
| | - Yi-An Bi
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide R&D, Pfizer Inc, Groton, Connecticut, USA
| | - Manoli Vourvahis
- Clinical Pharmacology, Global Product Development, Pfizer Inc, New York, New York, USA
| | - A David Rodrigues
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide R&D, Pfizer Inc, Groton, Connecticut, USA
| | - Manthena V S Varma
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Worldwide R&D, Pfizer Inc, Groton, Connecticut, USA
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Neuvonen M, Tornio A, Hirvensalo P, Backman JT, Niemi M. Performance of Plasma Coproporphyrin I and III as OATP1B1 Biomarkers in Humans. Clin Pharmacol Ther 2021; 110:1622-1632. [PMID: 34580865 PMCID: PMC9292572 DOI: 10.1002/cpt.2429] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Accepted: 09/13/2021] [Indexed: 12/20/2022]
Abstract
A previous study in 356 healthy Finnish volunteers showed that glycochenodeoxycholate 3‐O‐glucuronide (GCDCA‐3G) and glycodeoxycholate 3‐O‐glucuronide (GDCA‐3G) are promising biomarkers of organic anion transporting polypeptide 1B1 (OATP1B1). In the same cohort, we now evaluated the performances of two other OATP1B1 biomarkers, coproporphyrin I (CPI) and III (CPIII), and compared them with GCDCA‐3G and GDCA‐3G. Based on decreased (*5 and *15) and increased (*14 and *20) function SLCO1B1 haplotypes, we stratified the participants to poor, decreased, normal, increased, and highly increased OATP1B1 function groups. Fasting plasma CPI concentration was 68% higher in the poor (95% confidence interval, 44%, 97%; P = 1.74 × 10−10), 7% higher in the decreased (0%, 15%; P = 0.0385), 10% lower in the increased (3%, 18%; P = 0.0087), and 23% lower in the highly increased (1%, 40%; P = 0.0387) function group than in the normal function group. CPIII concentration was 27% higher (7%, 51%; P = 0.0071) in the poor function group than in the normal function group. CPI and CPIII detected poor OATP1B1 function with areas under the precision‐recall curve (AUPRC) of 0.388 (95% confidence interval, 0.197, 0.689) and 0.0798 (0.0485, 0.203), and receiver operating characteristic curve (AUROC) of 0.888 (0.851, 0.919) and 0.731 (0.682, 0.776). The AUPRC and AUROC of GCDCA‐3G were, however, 0.389 (0.258, 0.563) and 0.100 (−0.0046, 0.204; P = 0.0610) larger than those of CPI, and 0.697 (0.555, 0.831) and 0.257 (0.141, 0.373; P < 0.0001) larger than those of CPIII. In conclusion, these data indicate that plasma CPI outperforms CPIII in detecting altered OATP1B1 function, but GCDCA‐3G is an even more sensitive OATP1B1 biomarker than CPI.
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Affiliation(s)
- Mikko Neuvonen
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Aleksi Tornio
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland.,Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Päivi Hirvensalo
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Janne T Backman
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland.,Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Mikko Niemi
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland.,Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
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Endogenous Biomarkers for SLC Transporter-Mediated Drug-Drug Interaction Evaluation. Molecules 2021; 26:molecules26185500. [PMID: 34576971 PMCID: PMC8466752 DOI: 10.3390/molecules26185500] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Revised: 09/06/2021] [Accepted: 09/07/2021] [Indexed: 12/31/2022] Open
Abstract
Membrane transporters play an important role in the absorption, distribution, metabolism, and excretion of xenobiotic substrates, as well as endogenous compounds. The evaluation of transporter-mediated drug-drug interactions (DDIs) is an important consideration during the drug development process and can guide the safe use of polypharmacy regimens in clinical practice. In recent years, several endogenous substrates of drug transporters have been identified as potential biomarkers for predicting changes in drug transport function and the potential for DDIs associated with drug candidates in early phases of drug development. These biomarker-driven investigations have been applied in both preclinical and clinical studies and proposed as a predictive strategy that can be supplanted in order to conduct prospective DDIs trials. Here we provide an overview of this rapidly emerging field, with particular emphasis on endogenous biomarkers recently proposed for clinically relevant uptake transporters.
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Chothe PP, Nakakariya M, Rotter CJ, Sandoval P, Tohyama K. Recent Advances in Drug Transporter Sciences: Highlights From the Year 2020. Drug Metab Rev 2021; 53:321-349. [PMID: 34346798 DOI: 10.1080/03602532.2021.1963270] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Drug Metabolism Reviews has an impressive track record of providing scientific reviews in the area of xenobiotic biotransformation over 47 years. It has consistently proved to be resourceful to many scientists from pharmaceutical industry, academia, regulatory agencies working in diverse areas including enzymology, pharmacology, pharmacokinetics and toxicology. Over the last 5 years Drug metabolism Reviews has annually published an industry commentary aimed to highlight novel insights and approaches that have made significant impacts on the field of biotransformation (led by Cyrus Khojasteh). We hope to continue this tradition by providing an overview of advances made in the field of drug transporters during 2020. The field of drug transporters is rapidly evolving as they play an essential role in drug absorption, distribution, clearance and elimination. In this review we have selected outstanding drug transporter articles that have significantly contributed to moving forward the field of transporter science with respect to translation and improved understanding of diverse aspects including uptake clearance, clinical biomarkers, induction, proteomics, emerging transporters and tissue targeting.The theme of this review consists of synopsis that summarizes each article followed by our commentary. The objective of this work is not to provide a comprehensive review but rather exemplify novel insights and state-of-the-art highlights of recent research that have advanced our understanding of drug transporters in drug disposition. We are hopeful that this effort will prove useful to the scientific community and as such request feedback, and further extend an invitation to anyone interested in contributing to future reviews.
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Affiliation(s)
- Paresh P Chothe
- Global Drug Metabolism and Pharmacokinetics, Takeda Pharmaceutical Company Limited, 35 Landsdowne Street, Cambridge, Massachusetts, 02139, USA
| | - Masanori Nakakariya
- Drug Metabolism and Pharmacokinetics Research Laboratories, Takeda Pharmaceutical Company Limited, 26-1, Muraoka-Higashi 2-Chrome, Fujisawa, Kanagawa, 251-8555, Japan
| | - Charles J Rotter
- Global Drug Metabolism and Pharmacokinetics, Takeda California Incorporated, 9625 Towne Centre Drive, San Diego, California, 92121, USA
| | - Philip Sandoval
- Global Drug Metabolism and Pharmacokinetics, Takeda Pharmaceutical Company Limited, 35 Landsdowne Street, Cambridge, Massachusetts, 02139, USA
| | - Kimio Tohyama
- Global Drug Metabolism and Pharmacokinetics, Takeda Pharmaceutical Company Limited, 35 Landsdowne Street, Cambridge, Massachusetts, 02139, USA
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Ono H, Tanaka R, Suzuki Y, Oda A, Ozaki T, Tatsuta R, Maeshima K, Ishii K, Ohno K, Shibata H, Itoh H. Factors Influencing Plasma Coproporphyrin-I Concentration as Biomarker of OATP1B Activity in Patients With Rheumatoid Arthritis. Clin Pharmacol Ther 2021; 110:1096-1105. [PMID: 34319605 DOI: 10.1002/cpt.2375] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 07/20/2021] [Indexed: 01/15/2023]
Abstract
Organic anion transporting polypeptides (OATPs) 1B are drug transporters mainly expressed in the sinusoidal membrane. In previous reports, genetic factor, 3-carboxy-4-methyl-5-propyl-2-furanpropanoic acid (CMPF), which is one of the uremic toxins, inflammatory cytokines such as tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) decreased OATP1B1 activity in vitro, but in vivo effects of these factors have not been elucidated. Plasma coproporphyrin-I (CP-I) is spotlighted as a highly accurate endogenous substrate of OATP1B. This study focused on patients with rheumatoid arthritis (RA) and evaluated the influence of several factors comprising gene polymorphisms, uremic toxins, and inflammatory cytokines on OATP1B activity using plasma CP-I concentration. Thirty-seven outpatients with RA who satisfied the selection criteria were analyzed at the time of recruitment (baseline) and at the next visit. OATP1B1*15 carriers tended to have higher CP-I concentration compared with noncarriers. Plasma CP-I correlated positively with CMPF concentration, but did not correlate with IL-6 or TNF-α concentration. Multiple logistic regression analysis by stepwise selection identified plasma CMPF concentration and OATP1B1*15 allele as significant factors independently affecting plasma CP-I concentration at baseline and at the next visit, respectively. In conclusion, the present results suggest that inflammatory cytokines do not have clinically significant effects on OATP1B activity, whereas the effects of genetic polymorphisms and uremic toxins should be considered.
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Affiliation(s)
- Hiroyuki Ono
- Department of Clinical Pharmacy, Oita University Hospital, Oita, Japan
| | - Ryota Tanaka
- Department of Clinical Pharmacy, Oita University Hospital, Oita, Japan
| | - Yosuke Suzuki
- Department of Medication Use Analysis and Clinical Research, Meiji Pharmaceutical University, Tokyo, Japan
| | - Ayako Oda
- Department of Medication Use Analysis and Clinical Research, Meiji Pharmaceutical University, Tokyo, Japan
| | - Takashi Ozaki
- Department of Endocrinology, Metabolism, Rheumatology and Nephrology, Faculty of Medicine, Oita University, Oita, Japan
| | - Ryosuke Tatsuta
- Department of Clinical Pharmacy, Oita University Hospital, Oita, Japan
| | - Keisuke Maeshima
- Department of Endocrinology, Metabolism, Rheumatology and Nephrology, Faculty of Medicine, Oita University, Oita, Japan
| | - Koji Ishii
- Department of Endocrinology, Metabolism, Rheumatology and Nephrology, Faculty of Medicine, Oita University, Oita, Japan
| | - Keiko Ohno
- Department of Medication Use Analysis and Clinical Research, Meiji Pharmaceutical University, Tokyo, Japan
| | - Hirotaka Shibata
- Department of Endocrinology, Metabolism, Rheumatology and Nephrology, Faculty of Medicine, Oita University, Oita, Japan
| | - Hiroki Itoh
- Department of Clinical Pharmacy, Oita University Hospital, Oita, Japan
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Scotcher D, Melillo N, Tadimalla S, Darwich AS, Ziemian S, Ogungbenro K, Schütz G, Sourbron S, Galetin A. Physiologically Based Pharmacokinetic Modeling of Transporter-Mediated Hepatic Disposition of Imaging Biomarker Gadoxetate in Rats. Mol Pharm 2021; 18:2997-3009. [PMID: 34283621 PMCID: PMC8397403 DOI: 10.1021/acs.molpharmaceut.1c00206] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
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Physiologically based
pharmacokinetic (PBPK) models are increasingly
used in drug development to simulate changes in both systemic and
tissue exposures that arise as a result of changes in enzyme and/or
transporter activity. Verification of these model-based simulations
of tissue exposure is challenging in the case of transporter-mediated
drug–drug interactions (tDDI), in particular as these may lead
to differential effects on substrate exposure in plasma and tissues/organs
of interest. Gadoxetate, a promising magnetic resonance imaging (MRI)
contrast agent, is a substrate of organic-anion-transporting polypeptide
1B1 (OATP1B1) and multidrug resistance-associated protein 2 (MRP2).
In this study, we developed a gadoxetate PBPK model and explored the
use of liver-imaging data to achieve and refine in vitro–in
vivo extrapolation (IVIVE) of gadoxetate hepatic transporter kinetic
data. In addition, PBPK modeling was used to investigate gadoxetate
hepatic tDDI with rifampicin i.v. 10 mg/kg. In vivo dynamic contrast-enhanced
(DCE) MRI data of gadoxetate in rat blood, spleen, and liver were
used in this analysis. Gadoxetate in vitro uptake kinetic data were
generated in plated rat hepatocytes. Mean (%CV) in vitro hepatocyte
uptake unbound Michaelis–Menten constant (Km,u) of gadoxetate was 106 μM (17%) (n = 4 rats), and active saturable uptake accounted for 94% of total
uptake into hepatocytes. PBPK–IVIVE of these data (bottom-up
approach) captured reasonably systemic exposure, but underestimated
the in vivo gadoxetate DCE–MRI profiles and elimination from
the liver. Therefore, in vivo rat DCE–MRI liver data were subsequently
used to refine gadoxetate transporter kinetic parameters in the PBPK
model (top-down approach). Active uptake into the hepatocytes refined
by the liver-imaging data was one order of magnitude higher than the
one predicted by the IVIVE approach. Finally, the PBPK model was fitted
to the gadoxetate DCE–MRI data (blood, spleen, and liver) obtained
with and without coadministered rifampicin. Rifampicin was estimated
to inhibit active uptake transport of gadoxetate into the liver by
96%. The current analysis highlighted the importance of gadoxetate
liver data for PBPK model refinement, which was not feasible when
using the blood data alone, as is common in PBPK modeling applications.
The results of our study demonstrate the utility of organ-imaging
data in evaluating and refining PBPK transporter IVIVE to support
the subsequent model use for quantitative evaluation of hepatic tDDI.
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Affiliation(s)
- Daniel Scotcher
- Centre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester M13 9PL, U.K
| | - Nicola Melillo
- Centre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester M13 9PL, U.K
| | - Sirisha Tadimalla
- Division of Medical Physics, University of Leeds, Leeds LS2 9JT, U.K
| | - Adam S Darwich
- Centre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester M13 9PL, U.K
| | - Sabina Ziemian
- MR & CT Contrast Media Research, Bayer AG, Berlin 13342, Germany
| | - Kayode Ogungbenro
- Centre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester M13 9PL, U.K
| | - Gunnar Schütz
- MR & CT Contrast Media Research, Bayer AG, Berlin 13342, Germany
| | - Steven Sourbron
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield S10 2TN, U.K
| | - Aleksandra Galetin
- Centre for Applied Pharmacokinetic Research, School of Health Sciences, University of Manchester, Manchester M13 9PL, U.K
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Tsuboya A, Kubota Y, Ishida H, Ohkuma R, Ishiguro T, Hirasawa Y, Ariizumi H, Tsunoda T, Sasaki Y, Matsumoto N, Kondo Y, Tomoda Y, Kusuhara H, Fujita KI. Minimal contribution of the hepatic uptake transporter OATP1B1 to the inter-individual variability in SN-38 pharmacokinetics in cancer patients without severe renal failure. Cancer Chemother Pharmacol 2021; 88:543-553. [PMID: 34117512 DOI: 10.1007/s00280-021-04314-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 06/05/2021] [Indexed: 01/08/2023]
Abstract
PURPOSE SN-38, a pharmacologically active metabolite of irinotecan, is taken up into hepatocytes by organic anion transporting polypeptide (OATP) 1B1. The effects of functional OATP1B1 521T>C on the pharmacokinetics of SN-38 remain controversial. Here, we prospectively examined the effects of OATP1B1 function on the area under the plasma total or unbound concentration-time curve (tAUC or uAUC) of SN-38 by assessing OATP1B1 521T>C and the plasma levels of endogenous OATP1B1 substrates, coproporphyrin (CP)-I and III, in cancer patients treated with irinotecan. METHODS We enrolled cancer patients who were treated with an irinotecan-containing regimen and did not have severe renal failure. The total and unbound concentrations of SN-38 in the plasma were measured by high-performance liquid chromatography. AUC values were calculated and normalized to the actual irinotecan dose (AUC/dose). The OATP1B1 521T>C was analyzed by direct sequencing. Concentrations of the endogenous substrates in plasma before irinotecan treatment (baseline) were determined by liquid chromatography with tandem mass spectrometry. RESULTS Twenty-two patients with a median estimated glomerular filtration rate of 74.8 mL/min (range 32.6-99.6) were examined. Both tAUC/dose and uAUC/dose were associated with the grade of neutropenia; however, they were not associated with OATP1B1 521T>C or baseline CP-I and III levels. It is worth noting that these baseline concentrations were significantly higher in patients with OATP1B1 521C, supporting functional changes in OATP1B1. CONCLUSION The contribution of OATP1B1 activity to inter-patient variability in the systemic exposure to SN-38 is likely minimal in patients without severe renal failure.
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Affiliation(s)
- Ayako Tsuboya
- Division of Pharmaceutical Regulatory Pharmacy, Department of Healthcare and Regulatory Sciences, Showa University School of Pharmacy, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan.,Department of Pharmacy, Kawasaki Municipal Tama Hospital, 1‑30‑37, Shukugawara, Tama‑ku, Kawasaki, Kanagawa, 214‑8525, Japan
| | - Yutaro Kubota
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Hiroo Ishida
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Ryotaro Ohkuma
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Tomoyuki Ishiguro
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Yuya Hirasawa
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Hirotsugu Ariizumi
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Takuya Tsunoda
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Yasutsuna Sasaki
- Division of Medical Oncology, Department of Medicine, Showa University School of Medicine, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Natsumi Matsumoto
- Division of Cancer Genome and Pharmacotherapy, Department of Clinical Pharmacy, Showa University School of Pharmacy, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan
| | - Yusuke Kondo
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongou, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Yukana Tomoda
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongou, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Hiroyuki Kusuhara
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongou, Bunkyo-ku, Tokyo, 113-0033, Japan
| | - Ken-Ichi Fujita
- Division of Cancer Genome and Pharmacotherapy, Department of Clinical Pharmacy, Showa University School of Pharmacy, 1-5-8 Hatanodai, Shinagawa-ku, Tokyo, 142-8555, Japan.
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