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Mykkänen AJH, Tarkiainen EK, Taskinen S, Neuvonen M, Paile-Hyvärinen M, Lilius TO, Tapaninen T, Klein K, Schwab M, Backman JT, Tornio A, Niemi M. Genome-Wide Association Study of Atorvastatin Pharmacokinetics: Associations With SLCO1B1, UGT1A3, and LPP. Clin Pharmacol Ther 2024; 115:1428-1440. [PMID: 38493369 DOI: 10.1002/cpt.3236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 02/22/2024] [Indexed: 03/18/2024]
Abstract
In a genome-wide association study of atorvastatin pharmacokinetics in 158 healthy volunteers, the SLCO1B1 c.521T>C (rs4149056) variant associated with increased area under the plasma concentration-time curve from time zero to infinity (AUC0-∞) of atorvastatin (P = 1.2 × 10-10), 2-hydroxy atorvastatin (P = 4.0 × 10-8), and 4-hydroxy atorvastatin (P = 2.9 × 10-8). An intronic LPP variant, rs1975991, associated with reduced atorvastatin lactone AUC0-∞ (P = 3.8 × 10-8). Three UGT1A variants linked with UGT1A3*2 associated with increased 2-hydroxy atorvastatin lactone AUC0-∞ (P = 3.9 × 10-8). Furthermore, a candidate gene analysis including 243 participants suggested that increased function SLCO1B1 variants and decreased activity CYP3A4 variants affect atorvastatin pharmacokinetics. Compared with individuals with normal function SLCO1B1 genotype, atorvastatin AUC0-∞ was 145% (90% confidence interval: 98-203%; P = 5.6 × 10-11) larger in individuals with poor function, 24% (9-41%; P = 0.0053) larger in those with decreased function, and 41% (16-59%; P = 0.016) smaller in those with highly increased function SLCO1B1 genotype. Individuals with intermediate metabolizer CYP3A4 genotype (CYP3A4*2 or CYP3A4*22 heterozygotes) had 33% (14-55%; P = 0.022) larger atorvastatin AUC0-∞ than those with normal metabolizer genotype. UGT1A3*2 heterozygotes had 16% (5-25%; P = 0.017) smaller and LPP rs1975991 homozygotes had 34% (22-44%; P = 4.8 × 10-5) smaller atorvastatin AUC0-∞ than noncarriers. These data demonstrate that genetic variation in SLCO1B1, UGT1A3, LPP, and CYP3A4 affects atorvastatin pharmacokinetics. This is the first study to suggest that LPP rs1975991 may reduce atorvastatin exposure. [Correction added on 6 April, after first online publication: An incomplete sentence ("= 0.017) smaller in heterozygotes for UGT1A3*2 and 34% (22%, 44%; P × 10-5) smaller in homozygotes for LPP noncarriers.") has been corrected in this version.].
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Affiliation(s)
- Anssi J H Mykkänen
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - E Katriina Tarkiainen
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Suvi Taskinen
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Mikko Neuvonen
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Maria Paile-Hyvärinen
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Tuomas O Lilius
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Tuija Tapaninen
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Kathrin Klein
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
| | - Matthias Schwab
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany
- University of Tübingen, Tübingen, Germany
- Department of Clinical Pharmacology, University of Tübingen, Tübingen, Germany
- Department of Biochemistry and Pharmacy, University of Tübingen, Tübingen, Germany
| | - Janne T Backman
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Aleksi Tornio
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Mikko Niemi
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
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2
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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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] [What about the content of this article? (0)] [Affiliation(s)] [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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4
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Kiiski JI, Neuvonen M, Kurkela M, Hirvensalo P, Hämäläinen K, Tarkiainen EK, Sistonen J, Korhonen M, Khan S, Orpana A, Filppula AM, Lehtonen M, Niemi M. Solanidine is a sensitive and specific dietary biomarker for CYP2D6 activity. Hum Genomics 2024; 18:11. [PMID: 38303026 PMCID: PMC10835938 DOI: 10.1186/s40246-024-00579-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 01/24/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Individual assessment of CYP enzyme activities can be challenging. Recently, the potato alkaloid solanidine was suggested as a biomarker for CYP2D6 activity. Here, we aimed to characterize the sensitivity and specificity of solanidine as a CYP2D6 biomarker among Finnish volunteers with known CYP2D6 genotypes. RESULTS Using non-targeted metabolomics analysis, we identified 9152 metabolite features in the fasting plasma samples of 356 healthy volunteers. Machine learning models suggested strong association between CYP2D6 genotype-based phenotype classes with a metabolite feature identified as solanidine. Plasma solanidine concentration was 1887% higher in genetically poor CYP2D6 metabolizers (gPM) (n = 9; 95% confidence interval 755%, 4515%; P = 1.88 × 10-11), 74% higher in intermediate CYP2D6 metabolizers (gIM) (n = 89; 27%, 138%; P = 6.40 × 10-4), and 35% lower in ultrarapid CYP2D6 metabolizers (gUM) (n = 20; 64%, - 17%; P = 0.151) than in genetically normal CYP2D6 metabolizers (gNM; n = 196). The solanidine metabolites m/z 444 and 430 to solanidine concentration ratios showed even stronger associations with CYP2D6 phenotypes. Furthermore, the areas under the receiver operating characteristic and precision-recall curves for these metabolic ratios showed equal or better performances for identifying the gPM, gIM, and gUM phenotype groups than the other metabolites, their ratios to solanidine, or solanidine alone. In vitro studies with human recombinant CYP enzymes showed that solanidine was metabolized mainly by CYP2D6, with a minor contribution from CYP3A4/5. In human liver microsomes, the CYP2D6 inhibitor paroxetine nearly completely (95%) inhibited the metabolism of solanidine. In a genome-wide association study, several variants near the CYP2D6 gene associated with plasma solanidine metabolite ratios. CONCLUSIONS These results are in line with earlier studies and further indicate that solanidine and its metabolites are sensitive and specific biomarkers for measuring CYP2D6 activity. Since potato consumption is common worldwide, this biomarker could be useful for evaluating CYP2D6-mediated drug-drug interactions and to improve prediction of CYP2D6 activity in addition to genotyping.
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Affiliation(s)
- Johanna I Kiiski
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
| | - Mikko Neuvonen
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
| | - Mika Kurkela
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
| | - Päivi Hirvensalo
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
| | - Kreetta Hämäläinen
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
| | - E Katriina Tarkiainen
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Johanna Sistonen
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Genetics Laboratory, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Mari Korhonen
- Genetics Laboratory, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Sofia Khan
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Genetics Laboratory, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Arto Orpana
- Genetics Laboratory, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Anne M Filppula
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Pharmaceutical Sciences Laboratory, Åbo Akademi University, Turku, Finland
| | - Marko Lehtonen
- School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Mikko Niemi
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland.
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland.
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5
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Courchesne M, Manrique G, Bernier L, Moussa L, Cresson J, Gutzeit A, Froehlich JM, Koh DM, Chartrand-Lefebvre C, Matoori S. Gender Differences in Pharmacokinetics: A Perspective on Contrast Agents. ACS Pharmacol Transl Sci 2024; 7:8-17. [PMID: 38230293 PMCID: PMC10789139 DOI: 10.1021/acsptsci.3c00116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Revised: 11/20/2023] [Accepted: 11/24/2023] [Indexed: 01/18/2024]
Abstract
Gender is an important risk factor for adverse drug reactions. Women report significantly more adverse drug reactions than men. There is a growing consensus that gender differences in drug PK is a main contributor to higher drug toxicity in women. These differences stem from physiological differences (body composition, plasma protein concentrations, and liver and kidney function), drug interactions, and comorbidities. Contrast agents are widely used to enhance diagnostic performance in computed tomography and magnetic resonance imaging. Despite their broad use, these contrast agents can lead to important adverse reactions including hypersensitivity reactions, nephropathy, and hyperthyroidism. Importantly, female gender is one of the main risk factors for contrast agent toxicity. As these adverse reactions may be related to gender differences in PK, this perspective aims to describe distribution and elimination pathways of commonly used contrast agents and to critically discuss gender differences in these processes.
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Affiliation(s)
- Myriam Courchesne
- Faculté
de Pharmacie, Université de Montréal, 2940 Chemin de Polytechnique, Montreal, Quebec H3T 1J4, Canada
| | - Gabriela Manrique
- Faculté
de Pharmacie, Université de Montréal, 2940 Chemin de Polytechnique, Montreal, Quebec H3T 1J4, Canada
| | - Laurie Bernier
- Faculté
de Pharmacie, Université de Montréal, 2940 Chemin de Polytechnique, Montreal, Quebec H3T 1J4, Canada
| | - Leen Moussa
- Faculté
de Pharmacie, Université de Montréal, 2940 Chemin de Polytechnique, Montreal, Quebec H3T 1J4, Canada
| | - Jeanne Cresson
- Clinical
Research Group, Klus Apotheke Zurich, 8032 Zurich, Switzerland
| | - Andreas Gutzeit
- Department
of Health Sciences and Medicine, University
of Lucerne, Frohburgstaße 3, 6002 Luzern, Switzerland
- Institute
of Radiology and Nuclear Medicine and Breast Center St. Anna, Hirslanden Klinik St. Anna, 6006 Lucerne, Switzerland
- Department
of Radiology, Paracelsus Medical University, 5020 Salzburg, Austria
| | | | - Dow-Mu Koh
- Cancer Research
UK Clinical Magnetic Resonance Research Group, Institute of Cancer Research, Sutton, Surrey SM2 5NG, United Kingdom
| | - Carl Chartrand-Lefebvre
- Radiology
Department, Centre Hospitalier de l’Université
de Montréal (CHUM), Montreal, Quebec H2X 3E4, Canada
- Centre
de Recherche du Centre Hospitalier de l’Université de
Montréal (CRCHUM), Montreal, Quebec H2X 0A9, Canada
| | - Simon Matoori
- Faculté
de Pharmacie, Université de Montréal, 2940 Chemin de Polytechnique, Montreal, Quebec H3T 1J4, Canada
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Lehtisalo M, Tarkiainen EK, Neuvonen M, Holmberg M, Kiiski JI, Lapatto-Reiniluoto O, Filppula AM, Kurkela M, Backman JT, Niemi M. Ticagrelor Increases Exposure to the Breast Cancer Resistance Protein Substrate Rosuvastatin. Clin Pharmacol Ther 2024; 115:71-79. [PMID: 37786998 DOI: 10.1002/cpt.3067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 09/25/2023] [Indexed: 10/04/2023]
Abstract
Ticagrelor and rosuvastatin are often used concomitantly after atherothrombotic events. Several cases of rhabdomyolysis during concomitant ticagrelor and rosuvastatin have been reported, suggesting a drug-drug interaction. We showed recently that ticagrelor inhibits breast cancer resistance protein (BCRP) and organic anion transporting polypeptide (OATP) 1B1, 1B3, and 2B1-mediated rosuvastatin transport in vitro. The aim of this study was to investigate the effects of ticagrelor on rosuvastatin pharmacokinetics in humans. In a randomized, crossover study, 9 healthy volunteers ingested a single dose of 90 mg ticagrelor or placebo, followed by a single 10 mg dose of rosuvastatin 1 hour later. Ticagrelor 90 mg or placebo were additionally administered 12, 24, and 36 hours after their first dose. Ticagrelor increased rosuvastatin area under the plasma concentration-time curve (AUC) and peak plasma concentration 2.6-fold (90% confidence intervals: 1.8-3.8 and 1.7-4.0, P = 0.001 and P = 0.003), and prolonged its half-life from 3.1 to 6.6 hours (P = 0.009). Ticagrelor also decreased the renal clearance of rosuvastatin by 11% (3%-19%, P = 0.032). The N-desmethylrosuvastatin:rosuvastatin AUC0-10h ratio remained unaffected by ticagrelor. Ticagrelor had no effect on the plasma concentrations of the endogenous OATP1B substrates glycodeoxycholate 3-O-glucuronide, glycochenodeoxycholate 3-O-glucuronide, glycodeoxycholate 3-O-sulfate, and glycochenodeoxycholate 3-O-sulfate, or the sodium-taurocholate cotransporting polypeptide substrate taurocholic acid. These data indicate that ticagrelor increases rosuvastatin concentrations more than twofold in humans, probably mainly by inhibiting intestinal BCRP. Because the risk for rosuvastatin-induced myotoxicity increases along with rosuvastatin plasma concentrations, using ticagrelor concomitantly with high doses of rosuvastatin should be avoided.
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Affiliation(s)
- Minna Lehtisalo
- 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
| | - E Katriina Tarkiainen
- 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 Neuvonen
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Mikko Holmberg
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
- Department of Emergency Medicine and Services, Helsinki University Hospital, Helsinki, Finland
| | - Johanna I Kiiski
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Outi Lapatto-Reiniluoto
- 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
| | - Anne M Filppula
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
- Pharmaceutical Sciences Laboratory, Faculty of Science and Engineering, Åbo Akademi University, Turku, Finland
| | - Mika Kurkela
- 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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7
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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8
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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9
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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10
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Ramsey LB, Gong L, Lee SB, Wagner JB, Zhou X, Sangkuhl K, Adams SM, Straka RJ, Empey PE, Boone EC, Klein TE, Niemi M, Gaedigk A. PharmVar GeneFocus: SLCO1B1. Clin Pharmacol Ther 2023; 113:782-793. [PMID: 35797228 PMCID: PMC10900141 DOI: 10.1002/cpt.2705] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 06/24/2022] [Indexed: 11/06/2022]
Abstract
The Pharmacogene Variation Consortium (PharmVar) is now providing star (*) allele nomenclature for the highly polymorphic human SLCO1B1 gene encoding the organic anion transporting polypeptide 1B1 (OATP1B1) drug transporter. Genetic variation within the SLCO1B1 gene locus impacts drug transport, which can lead to altered pharmacokinetic profiles of several commonly prescribed drugs. Variable OATP1B1 function is of particular importance regarding hepatic uptake of statins and the risk of statin-associated musculoskeletal symptoms. To introduce this important drug transporter gene into the PharmVar database and serve as a unified reference of haplotype variation moving forward, an international group of gene experts has performed an extensive review of all published SLCO1B1 star alleles. Previously published star alleles were self-assigned by authors and only loosely followed the star nomenclature system that was first developed for cytochrome P450 genes. This nomenclature system has been standardized by PharmVar and is now applied to other important pharmacogenes such as SLCO1B1. In addition, data from the 1000 Genomes Project and investigator-submitted data were utilized to confirm existing haplotypes, fill knowledge gaps, and/or define novel star alleles. The PharmVar-developed SLCO1B1 nomenclature has been incorporated by the Clinical Pharmacogenetics Implementation Consortium (CPIC) 2022 guideline on statin-associated musculoskeletal symptoms.
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Affiliation(s)
- Laura B Ramsey
- Divisions of Clinical Pharmacology and Research in Patient Services, Cincinnati Children's Hospital Medical Center, Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Li Gong
- Department of Biomedical Data Science, Stanford University, Stanford, California, USA
| | - Seung-Been Lee
- Precision Medicine Institute, Macrogen Inc., Seoul, Korea
| | - Jonathan B Wagner
- Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri, USA
- School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, USA
| | - Xujia Zhou
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA
| | - Katrin Sangkuhl
- Department of Biomedical Data Science, Stanford University, Stanford, California, USA
| | - Solomon M Adams
- School of Pharmacy, Shenandoah University, Fairfax, Virginia, USA
| | - Robert J Straka
- Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, Minnesota, USA
| | - Philip E Empey
- School of Pharmacy and Institute for Precision Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Erin C Boone
- Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri, USA
| | - Teri E Klein
- Department of Biomedical Data Science, Stanford University, Stanford, California, USA
- Department of Medicine (BMIR), Stanford University, Stanford, California, USA
| | - Mikko Niemi
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Andrea Gaedigk
- Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri, USA
- School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri, USA
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11
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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12
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Muto Y, Suzuki M, Kakiyama G, Sasaki T, Murai T, Takei H, Nittono H. Profiling of Urinary Glucuronidated Bile Acids across Age Groups. Metabolites 2022; 12. [PMID: 36557268 DOI: 10.3390/metabo12121230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/01/2022] [Accepted: 12/06/2022] [Indexed: 12/13/2022] Open
Abstract
We investigated the age-dependent changes in urinary excretion of glucuronidated bile acids at the C-3 position. Bile acid 3-glucuronides accounted for 0.5% of urinary bile acids in neonates, and the proportion of bile acid 3-glucuronides plateaued at 1-3 years of age. The 3-glucuronides of secondary bile acids were first secreted at 3 months of age, the same time as the establishment of the gut bacterial flora in infants. A considerable portion of bile acid 3-glucuronides were present as non-amidated forms. Our results indicate dynamic hepatic enzyme activity in which the levels of uridine 5'-diphospho-glucuronosyltransferases (UGTs) differ by age group, with higher glucuronidation activity of UGTs towards nonamidated bile acids than amidated bile acids.
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13
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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14
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Brunet M, Pastor-Anglada M. Insights into the Pharmacogenetics of Tacrolimus Pharmacokinetics and Pharmacodynamics. Pharmaceutics 2022; 14:pharmaceutics14091755. [PMID: 36145503 PMCID: PMC9503558 DOI: 10.3390/pharmaceutics14091755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 07/28/2022] [Accepted: 08/10/2022] [Indexed: 11/27/2022] Open
Abstract
The influence of pharmacogenetics in tacrolimus pharmacokinetics and pharmacodynamics needs further investigation, considering its potential in assisting clinicians to predict the optimal starting dosage and the need for a personalized adjustment of the dose, as well as to identify patients at a high risk of rejection, drug-related adverse effects, or poor outcomes. In the past decade, new pharmacokinetic strategies have been developed to improve personalized tacrolimus treatment. Several studies have shown that patients with tacrolimus doses C0/D < 1 ng/mL/mg may demonstrate a greater incidence of drug-related adverse events and infections. In addition, C0 tacrolimus intrapatient variability (IPV) has been identified as a potential biomarker to predict poor outcomes related to drug over- and under-exposure. With regard to tacrolimus pharmacodynamics, inconsistent genotype-phenotype relationships have been identified. The aim of this review is to provide a concise summary of currently available data regarding the influence of pharmacogenetics on the clinical outcome of patients with high intrapatient variability and/or a fast metabolizer phenotype. Moreover, the role of membrane transporters in the interindividual variability of responses to tacrolimus is critically discussed from a transporter scientist’s perspective. Indeed, the relationship between transporter polymorphisms and intracellular tacrolimus concentrations will help to elucidate the interplay between the biological mechanisms underlying genetic variations impacting drug concentrations and clinical effects.
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Affiliation(s)
- Mercè Brunet
- Farmacologia i Toxicologia, Servei de Bioquímica i Genètica Molecular, Centre de Diagnòstic Biomèdic. Hospital Clínic de Barcelona, Universitat de Barcelona, 08036 Barcelona, Spain
- Institut d’Investigacions Biomèdiques August Pí i Sunyer (IDIBAPS), 08036 Barcelona, Spain
- Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain
- Correspondence: (M.B.); (M.P.-A.)
| | - Marçal Pastor-Anglada
- Centro de Investigación Biomédica en Red Enfermedades Hepáticas y Digestivas (CIBEREHD), 28029 Madrid, Spain
- Molecular Pharmacology and Experimental Therapeutics (MPET), Departament de Bioquímica i Biomedicina Molecular, Institut de Biomedicina, Universitat de Barcelona (IBUB), 08028 Barcelona, Spain
- Institut de Recerca Sant Joan de Déu (IRSJD), 08950 Esplugues de Llobregat, Spain
- Correspondence: (M.B.); (M.P.-A.)
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15
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Anabtawi N, Drabison T, Hu S, Sparreboom A, Talebi Z. The role of OATP1B1 and OATP1B3 transporter polymorphisms in drug disposition and response to anticancer drugs: a review of the recent literature. Expert Opin Drug Metab Toxicol 2022; 18:459-468. [PMID: 35983889 DOI: 10.1080/17425255.2022.2113380] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Members of the solute carrier family of organic anion transporting polypeptides are responsible for the cellular uptake of a broad range of endogenous compounds and xenobiotics in multiple tissues. In particular, the polymorphic transporters OATP1B1 and OATP1B3 are highly expressed in the liver and have been identified as critical regulators of hepatic eliminaton. As these transporters are also expressed in cancer cells, the function alteration of these proteins have important consequences for an individual's susceptibility to certain drug-induced side effects, drug-drug interactions, and treatment efficacy. AREAS COVERED In this mini-review, we provide an update of this rapidly emerging field, with specific emphasis on the direct contribution of genetic variants in OATP1B1 and OATP1B3 to the transport of anticancer drugs, the role of these carriers in regulation of their disposition and toxicity profiles, and recent advances in attempts to integrate information on transport function in patients to derive individualized treatment strategies. EXPERT OPINION Based on currently available data, it appears imperative that different aspects of disease, physiology, and drugs of relevance should be evaluated along with an individual's genetic signature, and that tools such as biomarker levels can be implemented to achieve the most reliable prediction of clinically relevant pharmacodynamic endpoints.
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Affiliation(s)
- Nadeen Anabtawi
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, Ohio
| | - Thomas Drabison
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, Ohio
| | - Shuiying Hu
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, Ohio.,Division of Outcomes and Translational Sciences, College of Pharmacy, The Ohio State University, Columbus, Ohio
| | - Alex Sparreboom
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, Ohio
| | - Zahra Talebi
- Division of Pharmaceutics and Pharmacology, College of Pharmacy, The Ohio State University, Columbus, Ohio
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16
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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17
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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18
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Mykkänen AJH, Taskinen S, Neuvonen M, Paile-Hyvärinen M, Tarkiainen EK, Lilius T, Tapaninen T, Backman JT, Tornio A, Niemi M. Genomewide Association Study of Simvastatin Pharmacokinetics. Clin Pharmacol Ther 2022; 112:676-686. [PMID: 35652242 PMCID: PMC9540481 DOI: 10.1002/cpt.2674] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 05/17/2022] [Indexed: 12/16/2022]
Abstract
We investigated genetic determinants of single-dose simvastatin pharmacokinetics in a prospective study of 170 subjects and a retrospective cohort of 59 healthy volunteers. In a microarray-based genomewide association study with the prospective data, the SLCO1B1 c.521T>C (p.Val174Ala, rs4149056) single nucleotide variation showed the strongest, genomewide significant association with the area under the plasma simvastatin acid concentration-time curve (AUC; P = 6.0 × 10-10 ). Meta-analysis with the retrospective cohort strengthened the association (P = 1.6 × 10-17 ). In a stepwise linear regression candidate gene analysis among all 229 participants, SLCO1B1 c.521T>C (P = 1.9 × 10-13 ) and CYP3A4 c.664T>C (p.Ser222Pro, rs55785340, CYP3A4*2, P = 0.023) were associated with increased simvastatin acid AUC. Moreover, the SLCO1B1 c.463C>A (p.Pro155Thr, rs11045819, P = 7.2 × 10-6 ) and c.1929A>C (p.Leu643Phe, rs34671512, P = 5.3 × 10-4 ) variants associated with decreased simvastatin acid AUC. Based on these results and the literature, we classified the volunteers into genotype-predicted OATP1B1 and CYP3A4 phenotype groups. Compared with the normal OATP1B1 function group, simvastatin acid AUC was 273% larger in the poor (90% confidence interval (CI), 137%, 488%; P = 3.1 × 10-6 ), 40% larger in the decreased (90% CI, 8%, 83%; P = 0.036), and 67% smaller in the highly increased function group (90% CI, 46%, 80%; P = 2.4 × 10-4 ). Intermediate CYP3A4 metabolizers (i.e., heterozygous carriers of either CYP3A4*2 or CYP3A4*22 (rs35599367)), had 87% (90% CI, 39%, 152%, P = 6.4 × 10-4 ) larger simvastatin acid AUC than normal metabolizers. These data suggest that in addition to no function SLCO1B1 variants, increased function SLCO1B1 variants and reduced function CYP3A4 variants may affect the pharmacokinetics, efficacy, and safety of simvastatin. Care is warranted if simvastatin is prescribed to patients carrying decreased function SLCO1B1 or CYP3A4 alleles.
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Affiliation(s)
- Anssi J H Mykkänen
- Department of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Suvi Taskinen
- Department of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Mikko Neuvonen
- Department of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Maria Paile-Hyvärinen
- Department of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - E Katriina Tarkiainen
- Department of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Tuomas Lilius
- Department of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Tuija Tapaninen
- Department of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Janne T Backman
- Department of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Aleksi Tornio
- Department of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
| | - Mikko Niemi
- Department of Clinical Pharmacology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.,Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
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19
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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; 12:2751-77. [PMID: 35755285 DOI: 10.1016/j.apsb.2022.03.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [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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20
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Ma Y, Cao Y, Song X, Zhang Y, Li J, Wang Y, Wu X, Qi X. BAFinder: A Software for Unknown Bile Acid Identification Using Accurate Mass LC-MS/MS in Positive and Negative Modes. Anal Chem 2022; 94:6242-6250. [PMID: 35403420 DOI: 10.1021/acs.analchem.1c05648] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Most LC-MS based bile acid analyses target common bile acids. The identification of unknown bile acids remains challenging in untargeted experiments. Here, a software named BAFinder was developed to improve the identification of unknown bile acids from accurate mass LC-MS/MS data in both the positive and negative ESI modes. A wide variety of bile acid structures were covered in BAFinder, including oxidized bile acids and sugar conjugates that were often ignored. The annotation of unknown bile acids was based on a thorough investigation of MS/MS fragmentation patterns of 84 bile acid reference standards in both modes. Specifically, BAFinder took the peak alignment result and MS/MS spectra, grouped candidate features in positive and negative modes, searched their representative MS/MS spectra against a MS/MS library, and used characteristic product ions and neutral losses to annotate bile acids not covered in the library. Finally, the number of hydroxyl groups and double bonds, conjugation, and isomer information of bile acids were reported with four different levels of annotation confidence. The use of BAFinder was demonstrated through successful application to the analysis of human plasma and urine samples, in which a total of 112 and 244 bile acids were annotated and 75 and 111 of them were confirmed with standards or synthesized compounds, respectively. The software is freely available at https://bafinder.github.io/.
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Affiliation(s)
- Yan Ma
- National Institute of Biological Sciences, Beijing, Beijing 102206, China.,Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing 100084, China
| | - Yang Cao
- National Institute of Biological Sciences, Beijing, Beijing 102206, China
| | - Xiaocui Song
- National Institute of Biological Sciences, Beijing, Beijing 102206, China
| | - Yuanying Zhang
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Jing Li
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Yankai Wang
- National Institute of Biological Sciences, Beijing, Beijing 102206, China
| | - Xiaoqing Wu
- National Institute of Biological Sciences, Beijing, Beijing 102206, China
| | - Xiangbing Qi
- National Institute of Biological Sciences, Beijing, Beijing 102206, China.,Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, Beijing 100084, China
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21
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Taylor RE, Bhattacharya A, Guo GL. Environmental Chemical Contribution to the Modulation of Bile Acid Homeostasis and Farnesoid X Receptor Signaling. Drug Metab Dispos 2022; 50:456-467. [PMID: 34759011 PMCID: PMC11022932 DOI: 10.1124/dmd.121.000388] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 11/05/2021] [Indexed: 11/22/2022] Open
Abstract
Maintaining bile acid (BA) homeostasis is important and regulated by BA activated receptors and signaling pathways. Farnesoid X receptor (FXR) and its regulated target networks in both the liver and the intestines are critical in suppressing BA synthesis and promoting BA transport and enterohepatic circulation. In addition, FXR is critical in regulating lipid metabolism and reducing inflammation, processes critical in the development of cholestasis and fatty liver diseases. BAs are modulated by, but also control, gut microflora. Environmental chemical exposure could affect liver disease development. However, the effects and the mechanisms by which environmental chemicals interact with FXR to affect BA homeostasis are only emerging. In this minireview, our focus is to provide evidence from reports that determine the effects of environmental or therapeutic exposure on altering homeostasis and functions of BAs and FXR. Understanding these effects will help to determine liver disease pathogenesis and provide better prevention and treatment in the future. SIGNIFICANCE STATEMENT: Environmental chemical exposure significantly contributes to the development of cholestasis and nonalcoholic steatohepatitis (NASH). The impact of exposures on bile acid (BA) signaling and Farnesoid X receptor-mediated gut-liver crosstalk is emerging. However, there is still a huge gap in understanding how these chemicals contribute to the dysregulation of BA homeostasis and how this dysregulation may promote NASH development.
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Affiliation(s)
- Rulaiha E Taylor
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey (R.E.T., A.B., G.L.G.); Environmental and Occupational Health Sciences Institute, Rutgers, The State University of New Jersey, Piscataway, New Jersey (G.L.G.); Rutgers Center for Lipid Research, Rutgers, The State University of New Jersey, New Brunswick, New Jersey (G.L.G.); and VA New Jersey Health Care System, Veterans Administration Medical Center, East Orange, New Jersey (G.L.G.)
| | - Anisha Bhattacharya
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey (R.E.T., A.B., G.L.G.); Environmental and Occupational Health Sciences Institute, Rutgers, The State University of New Jersey, Piscataway, New Jersey (G.L.G.); Rutgers Center for Lipid Research, Rutgers, The State University of New Jersey, New Brunswick, New Jersey (G.L.G.); and VA New Jersey Health Care System, Veterans Administration Medical Center, East Orange, New Jersey (G.L.G.)
| | - Grace L Guo
- Department of Pharmacology and Toxicology, Ernest Mario School of Pharmacy, Rutgers University, Piscataway, New Jersey (R.E.T., A.B., G.L.G.); Environmental and Occupational Health Sciences Institute, Rutgers, The State University of New Jersey, Piscataway, New Jersey (G.L.G.); Rutgers Center for Lipid Research, Rutgers, The State University of New Jersey, New Brunswick, New Jersey (G.L.G.); and VA New Jersey Health Care System, Veterans Administration Medical Center, East Orange, New Jersey (G.L.G.)
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22
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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: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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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23
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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] [What about the content of this article? (0)] [Affiliation(s)] [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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24
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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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