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Bukofzer S, Harris G, Cable EE. OCE-205 in rats and non-human primates: Pharmacokinetic and pharmacodynamic analysis. CURRENT RESEARCH IN PHARMACOLOGY AND DRUG DISCOVERY 2023; 5:100163. [PMID: 37608843 PMCID: PMC10440361 DOI: 10.1016/j.crphar.2023.100163] [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: 03/24/2023] [Revised: 04/04/2023] [Accepted: 08/04/2023] [Indexed: 08/24/2023] Open
Abstract
Treatment for complications associated with the hemodynamic consequences of decompensated cirrhosis remains suboptimal. Terlipressin, the latest pharmacological management of hepatorenal syndrome-acute kidney injury (HRS-AKI), targets the vasopressin system but has serious side effects. OCE-205 is a novel peptide designed to target the vasopressin receptor system as a mixed V1a agonist/antagonist, resulting in effective partial agonism without V2 agonism. We examined the in vivo pharmacokinetic/pharmacodynamic properties of OCE-205 in healthy rats and cynomolgus monkeys. OCE-205 was administered by IV or SC bolus injection; arginine vasopressin (AVP) or terlipressin were comparators. After IV OCE-205 administration in rats, mean plasma concentration decreased in a mostly linear manner to 2 mg/mL after 120 min, and for SC administration, slowly decreased to ∼50 ng/mL after 300 min. Compared with pre-test values, arterial blood pressure values significantly increased after all OCE-205 doses tested. For monkeys, the concentration after IV OCE-205 administration was mostly linear to 5 ng/mL after 180 min, and for SC administration, ∼3 ng/mL after 480 min. Subcutaneous OCE-205 administration increased mean arterial pressure (MAP) versus baseline, with ΔMAP in OCE-205-treated animals marked and long-lasting while terlipressin induced an increase from baseline in MAP, with negligible ΔMAP, on average, by 150 min after administration in all groups. AVP, but not OCE-205, significantly increased blood lactate concentrations. OCE-205 was well tolerated in adult male rats and cynomolgus monkeys following single-dose bolus administration. The preclinical results of OCE-205, with its demonstrated V1a selective partial agonist activity and potentially tolerable safety profile, suggest its potential utility for treatment of the cardiovascular complications of cirrhosis. Institutional protocol number Procedures were approved by the Ferring Research Institute (FRI) Institutional Animal Care and Use Committee (IACUC) on November 27, 2006 under protocol FRI 06-011, and by the Sinclair Research Center IACUC under protocol S11177.
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Affiliation(s)
| | - Geoff Harris
- Ferring Research Institute Inc., San Diego, CA, USA
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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: 13] [Impact Index Per Article: 4.3] [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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Bamfo NO, Hosey-Cojocari C, Benet LZ, Remsberg CM. Examination of Urinary Excretion of Unchanged Drug in Humans and Preclinical Animal Models: Increasing the Predictability of Poor Metabolism in Humans. Pharm Res 2021; 38:1139-1156. [PMID: 34254223 PMCID: PMC9855226 DOI: 10.1007/s11095-021-03076-y] [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] [Received: 03/11/2021] [Accepted: 06/19/2021] [Indexed: 01/24/2023]
Abstract
PURPOSE A dataset of fraction excreted unchanged in the urine (fe) values was developed and used to evaluate the ability of preclinical animal species to predict high urinary excretion, and corresponding poor metabolism, in humans. METHODS A literature review of fe values in rats, dogs, and monkeys was conducted for all Biopharmaceutics Drug Disposition Classification System (BDDCS) Class 3 and 4 drugs (n=352) and a set of Class 1 and 2 drugs (n=80). The final dataset consisted of 202 total fe values for 135 unique drugs. Human and animal data were compared through correlations, two-fold analysis, and binary classifications of high (fe ≥30%) versus low (<30%) urinary excretion in humans. Receiver Operating Characteristic curves were plotted to optimize animal fe thresholds. RESULTS Significant correlations were found between fe values for each animal species and human fe (p<0.05). Sixty-five percent of all fe values were within two-fold of human fe with animals more likely to underpredict human urinary excretion as opposed to overpredict. Dogs were the most reliable predictors of human fe of the three animal species examined with 72% of fe values within two-fold of human fe and the greatest accuracy in predicting human fe ≥30%. ROC determined thresholds of ≥25% in rats, ≥19% in dogs, and ≥10% in monkeys had improved accuracies in predicting human fe of ≥30%. CONCLUSIONS Drugs with high urinary excretion in animals are likely to have high urinary excretion in humans. Animal models tend to underpredict the urinary excretion of unchanged drug in humans.
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Affiliation(s)
- Nadia O Bamfo
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA
- Division of Clinical Pharmacology, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | - Chelsea Hosey-Cojocari
- Division of Clinical Pharmacology, Toxicology, and Therapeutic Innovation, Children's Mercy Kansas City, Kansas City, Missouri, USA
| | - Leslie Z Benet
- Department of Bioengineering and Therapeutic Sciences, Schools of Pharmacy and Medicine, University of California San Francisco, San Francisco, California, USA
| | - Connie M Remsberg
- Department of Pharmaceutical Sciences, College of Pharmacy and Pharmaceutical Sciences, Washington State University, Spokane, Washington, USA.
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Miyake T, Mizuno T, Takehara I, Mochizuki T, Kimura M, Matsuki S, Irie S, Watanabe N, Kato Y, Ieiri I, Maeda K, Ando O, Kusuhara H. Elucidation of N 1-methyladenosine as a Potential Surrogate Biomarker for Drug Interaction Studies Involving Renal Organic Cation Transporters. Drug Metab Dispos 2019; 47:1270-1280. [PMID: 31511257 DOI: 10.1124/dmd.119.087262] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Accepted: 09/07/2019] [Indexed: 11/22/2022] Open
Abstract
Endogenous substrates are emerging biomarkers for drug transporters, which serve as surrogate probes in drug-drug interaction (DDI) studies. In this study, the results of metabolome analysis using wild-type and Oct1/2 double knockout mice suggested that N 1-methyladenosine (m1A) was a novel organic cation transporter (OCT) 2 substrate. An in vitro transport study revealed that m1A is a substrate of mouse Oct1, Oct2, Mate1, human OCT1, OCT2, and multidrug and toxin exclusion protein (MATE) 2-K, but not human MATE1. Urinary excretion accounted for 77% of the systemic elimination of m1A in mice. The renal clearance (46.9 ± 4.9 ml/min per kilogram) of exogenously given m1A was decreased to near the glomerular filtration rates by Oct1/2 double knockout or Mate1 inhibition by pyrimethamine (16.6 ± 2.6 and 24.3 ± 0.6 ml/min per kilogram, respectively), accompanied by significantly higher plasma concentrations. In vivo inhibition of OCT2/MATE2-K by a single dose of 7-[(3R)-3-(1-aminocyclopropyl)pyrrolidin-1-yl]-1-[(1R,2S)-2-fluorocyclopropyl]-8-methoxy-4-oxoquinoline-3-carboxylic acid in cynomolgus monkeys resulted in the elevation of the area under the curve of m1A (1.72-fold) as well as metformin (2.18-fold). The plasma m1A concentration profile showed low diurnal and interindividual variation in healthy volunteers. The renal clearance of m1A in younger (21-45 year old) and older (65-79 year old) volunteers (244 ± 58 and 169 ± 22 ml/min per kilogram, respectively) was about 2-fold higher than the creatinine clearance. The renal clearances of m1A and creatinine were 31% and 17% smaller in older than in younger volunteers. Thus, m1A could be a surrogate probe for the evaluation of DDIs involving OCT2/MATE2-K. SIGNIFICANCE STATEMENT: Endogenous substrates can serve as surrogate probes for clinical drug-drug interaction studies involving drug transporters or enzymes. In this study, m1A was found to be a novel substrate of renal cationic drug transporters OCT2 and MATE2-K. N 1-methyladenosine was revealed to have some advantages compared to other OCT2/MATE substrates (creatinine and N 1-methylnicotinamide). The genetic or chemical impairment of OCT2 or MATE2-K caused a significant increase in the plasma m1A concentration in mice and cynomolgus monkeys due to the high contribution of tubular secretion to the net elimination of m1A. The plasma m1A concentration profile showed low diurnal and interindividual variation in healthy volunteers. Thus, m1A could be a better biomarker of variations in OCT2/MATE2-K activity caused by inhibitory drugs.
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Affiliation(s)
- Takeshi Miyake
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan (Tak.M., Tad.M., Tat.M., K.M., H.K.); Biomarker Department (I.T.) and Drug Metabolism & Pharmacokinetics Research Laboratories (N.W., O.A.), Daiichi-Sankyo Co., Ltd., Tokyo, Japan; Fukuoka Mirai Hospital Clinical Research Center, Fukuoka, Japan (M.K., S.M., S.I.); Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan (Y.K.); and Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (I.I.)
| | - Tadahaya Mizuno
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan (Tak.M., Tad.M., Tat.M., K.M., H.K.); Biomarker Department (I.T.) and Drug Metabolism & Pharmacokinetics Research Laboratories (N.W., O.A.), Daiichi-Sankyo Co., Ltd., Tokyo, Japan; Fukuoka Mirai Hospital Clinical Research Center, Fukuoka, Japan (M.K., S.M., S.I.); Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan (Y.K.); and Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (I.I.)
| | - Issey Takehara
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan (Tak.M., Tad.M., Tat.M., K.M., H.K.); Biomarker Department (I.T.) and Drug Metabolism & Pharmacokinetics Research Laboratories (N.W., O.A.), Daiichi-Sankyo Co., Ltd., Tokyo, Japan; Fukuoka Mirai Hospital Clinical Research Center, Fukuoka, Japan (M.K., S.M., S.I.); Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan (Y.K.); and Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (I.I.)
| | - Tatsuki Mochizuki
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan (Tak.M., Tad.M., Tat.M., K.M., H.K.); Biomarker Department (I.T.) and Drug Metabolism & Pharmacokinetics Research Laboratories (N.W., O.A.), Daiichi-Sankyo Co., Ltd., Tokyo, Japan; Fukuoka Mirai Hospital Clinical Research Center, Fukuoka, Japan (M.K., S.M., S.I.); Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan (Y.K.); and Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (I.I.)
| | - Miyuki Kimura
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan (Tak.M., Tad.M., Tat.M., K.M., H.K.); Biomarker Department (I.T.) and Drug Metabolism & Pharmacokinetics Research Laboratories (N.W., O.A.), Daiichi-Sankyo Co., Ltd., Tokyo, Japan; Fukuoka Mirai Hospital Clinical Research Center, Fukuoka, Japan (M.K., S.M., S.I.); Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan (Y.K.); and Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (I.I.)
| | - Shunji Matsuki
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan (Tak.M., Tad.M., Tat.M., K.M., H.K.); Biomarker Department (I.T.) and Drug Metabolism & Pharmacokinetics Research Laboratories (N.W., O.A.), Daiichi-Sankyo Co., Ltd., Tokyo, Japan; Fukuoka Mirai Hospital Clinical Research Center, Fukuoka, Japan (M.K., S.M., S.I.); Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan (Y.K.); and Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (I.I.)
| | - Shin Irie
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan (Tak.M., Tad.M., Tat.M., K.M., H.K.); Biomarker Department (I.T.) and Drug Metabolism & Pharmacokinetics Research Laboratories (N.W., O.A.), Daiichi-Sankyo Co., Ltd., Tokyo, Japan; Fukuoka Mirai Hospital Clinical Research Center, Fukuoka, Japan (M.K., S.M., S.I.); Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan (Y.K.); and Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (I.I.)
| | - Nobuaki Watanabe
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan (Tak.M., Tad.M., Tat.M., K.M., H.K.); Biomarker Department (I.T.) and Drug Metabolism & Pharmacokinetics Research Laboratories (N.W., O.A.), Daiichi-Sankyo Co., Ltd., Tokyo, Japan; Fukuoka Mirai Hospital Clinical Research Center, Fukuoka, Japan (M.K., S.M., S.I.); Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan (Y.K.); and Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (I.I.)
| | - Yukio Kato
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan (Tak.M., Tad.M., Tat.M., K.M., H.K.); Biomarker Department (I.T.) and Drug Metabolism & Pharmacokinetics Research Laboratories (N.W., O.A.), Daiichi-Sankyo Co., Ltd., Tokyo, Japan; Fukuoka Mirai Hospital Clinical Research Center, Fukuoka, Japan (M.K., S.M., S.I.); Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan (Y.K.); and Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (I.I.)
| | - Ichiro Ieiri
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan (Tak.M., Tad.M., Tat.M., K.M., H.K.); Biomarker Department (I.T.) and Drug Metabolism & Pharmacokinetics Research Laboratories (N.W., O.A.), Daiichi-Sankyo Co., Ltd., Tokyo, Japan; Fukuoka Mirai Hospital Clinical Research Center, Fukuoka, Japan (M.K., S.M., S.I.); Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan (Y.K.); and Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (I.I.)
| | - Kazuya Maeda
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan (Tak.M., Tad.M., Tat.M., K.M., H.K.); Biomarker Department (I.T.) and Drug Metabolism & Pharmacokinetics Research Laboratories (N.W., O.A.), Daiichi-Sankyo Co., Ltd., Tokyo, Japan; Fukuoka Mirai Hospital Clinical Research Center, Fukuoka, Japan (M.K., S.M., S.I.); Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan (Y.K.); and Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (I.I.)
| | - Osamu Ando
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan (Tak.M., Tad.M., Tat.M., K.M., H.K.); Biomarker Department (I.T.) and Drug Metabolism & Pharmacokinetics Research Laboratories (N.W., O.A.), Daiichi-Sankyo Co., Ltd., Tokyo, Japan; Fukuoka Mirai Hospital Clinical Research Center, Fukuoka, Japan (M.K., S.M., S.I.); Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan (Y.K.); and Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (I.I.)
| | - Hiroyuki Kusuhara
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, the University of Tokyo, Tokyo, Japan (Tak.M., Tad.M., Tat.M., K.M., H.K.); Biomarker Department (I.T.) and Drug Metabolism & Pharmacokinetics Research Laboratories (N.W., O.A.), Daiichi-Sankyo Co., Ltd., Tokyo, Japan; Fukuoka Mirai Hospital Clinical Research Center, Fukuoka, Japan (M.K., S.M., S.I.); Faculty of Pharmacy, Institute of Medical, Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan (Y.K.); and Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan (I.I.)
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Shen H, Scialis RJ, Lehman-McKeeman L. Xenobiotic Transporters in the Kidney: Function and Role in Toxicity. Semin Nephrol 2019; 39:159-175. [DOI: 10.1016/j.semnephrol.2018.12.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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Kosa RE, Lazzaro S, Bi YA, Tierney B, Gates D, Modi S, Costales C, Rodrigues AD, Tremaine LM, Varma MV. Simultaneous Assessment of Transporter-Mediated Drug-Drug Interactions Using a Probe Drug Cocktail in Cynomolgus Monkey. Drug Metab Dispos 2018; 46:1179-1189. [PMID: 29880631 DOI: 10.1124/dmd.118.081794] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2018] [Accepted: 05/30/2018] [Indexed: 12/18/2022] Open
Abstract
We aim to establish an in vivo preclinical model to enable simultaneous assessment of inhibition potential of an investigational drug on clinically relevant drug transporters, organic anion-transporting polypeptide (OATP)1B, breast cancer resistance protein (BCRP), P-glycoprotein (P-gp), and organic anion transporter (OAT)3. Pharmacokinetics of substrate cocktail consisting of pitavastatin (OATP1B substrate), rosuvastatin (OATP1B/BCRP/OAT3), sulfasalazine (BCRP), and talinolol (P-gp) were obtained in cynomolgus monkey-alone or in combination with transporter inhibitors. Single-dose rifampicin (30 mg/kg) significantly (P < 0.01) increased the plasma exposure of all four drugs, with a marked effect on pitavastatin and rosuvastatin [area under the plasma concentration-time curve (AUC) ratio ∼21-39]. Elacridar, BCRP/P-gp inhibitor, increased the AUC of sulfasalazine, talinolol, as well as rosuvastatin and pitavastatin. An OAT1/3 inhibitor (probenecid) significantly (P < 0.05) impacted the renal clearance of rosuvastatin (∼8-fold). In vitro, rifampicin (10 µM) inhibited uptake of pitavastatin, rosuvastatin, and sulfasalazine by monkey and human primary hepatocytes. Transport studies using membrane vesicles suggested that all probe substrates, except talinolol, are transported by cynoBCRP, whereas talinolol is a cynoP-gp substrate. Elacridar and rifampicin inhibited both cynoBCRP and cynoP-gp in vitro, indicating potential for in vivo intestinal efflux inhibition. In conclusion, a probe substrate cocktail was validated to simultaneously evaluate perpetrator impact on multiple clinically relevant transporters using the cynomolgus monkey. The results support the use of the cynomolgus monkey as a model that could enable drug-drug interaction risk assessment, before advancing a new molecular entity into clinical development, as well as providing mechanistic insights on transporter-mediated interactions.
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Affiliation(s)
- Rachel E Kosa
- Pharmacokinetics, Dynamics, and Metabolism, Medicine Design (R.E.K., S.L., Y.-a.B., B.T., C.C., A.D.R., L.M.T., M.V.V.) and Research Formulations, Pharmaceutical Sciences (D.G., S.M.), Pfizer Worldwide R&D, Groton, Connecticut
| | - Sarah Lazzaro
- Pharmacokinetics, Dynamics, and Metabolism, Medicine Design (R.E.K., S.L., Y.-a.B., B.T., C.C., A.D.R., L.M.T., M.V.V.) and Research Formulations, Pharmaceutical Sciences (D.G., S.M.), Pfizer Worldwide R&D, Groton, Connecticut
| | - Yi-An Bi
- Pharmacokinetics, Dynamics, and Metabolism, Medicine Design (R.E.K., S.L., Y.-a.B., B.T., C.C., A.D.R., L.M.T., M.V.V.) and Research Formulations, Pharmaceutical Sciences (D.G., S.M.), Pfizer Worldwide R&D, Groton, Connecticut
| | - Brendan Tierney
- Pharmacokinetics, Dynamics, and Metabolism, Medicine Design (R.E.K., S.L., Y.-a.B., B.T., C.C., A.D.R., L.M.T., M.V.V.) and Research Formulations, Pharmaceutical Sciences (D.G., S.M.), Pfizer Worldwide R&D, Groton, Connecticut
| | - Dana Gates
- Pharmacokinetics, Dynamics, and Metabolism, Medicine Design (R.E.K., S.L., Y.-a.B., B.T., C.C., A.D.R., L.M.T., M.V.V.) and Research Formulations, Pharmaceutical Sciences (D.G., S.M.), Pfizer Worldwide R&D, Groton, Connecticut
| | - Sweta Modi
- Pharmacokinetics, Dynamics, and Metabolism, Medicine Design (R.E.K., S.L., Y.-a.B., B.T., C.C., A.D.R., L.M.T., M.V.V.) and Research Formulations, Pharmaceutical Sciences (D.G., S.M.), Pfizer Worldwide R&D, Groton, Connecticut
| | - Chester Costales
- Pharmacokinetics, Dynamics, and Metabolism, Medicine Design (R.E.K., S.L., Y.-a.B., B.T., C.C., A.D.R., L.M.T., M.V.V.) and Research Formulations, Pharmaceutical Sciences (D.G., S.M.), Pfizer Worldwide R&D, Groton, Connecticut
| | - A David Rodrigues
- Pharmacokinetics, Dynamics, and Metabolism, Medicine Design (R.E.K., S.L., Y.-a.B., B.T., C.C., A.D.R., L.M.T., M.V.V.) and Research Formulations, Pharmaceutical Sciences (D.G., S.M.), Pfizer Worldwide R&D, Groton, Connecticut
| | - Larry M Tremaine
- Pharmacokinetics, Dynamics, and Metabolism, Medicine Design (R.E.K., S.L., Y.-a.B., B.T., C.C., A.D.R., L.M.T., M.V.V.) and Research Formulations, Pharmaceutical Sciences (D.G., S.M.), Pfizer Worldwide R&D, Groton, Connecticut
| | - Manthena V Varma
- Pharmacokinetics, Dynamics, and Metabolism, Medicine Design (R.E.K., S.L., Y.-a.B., B.T., C.C., A.D.R., L.M.T., M.V.V.) and Research Formulations, Pharmaceutical Sciences (D.G., S.M.), Pfizer Worldwide R&D, Groton, Connecticut
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Shen H, Nelson DM, Oliveira RV, Zhang Y, Mcnaney CA, Gu X, Chen W, Su C, Reily MD, Shipkova PA, Gan J, Lai Y, Marathe P, Humphreys WG. Discovery and Validation of Pyridoxic Acid and Homovanillic Acid as Novel Endogenous Plasma Biomarkers of Organic Anion Transporter (OAT) 1 and OAT3 in Cynomolgus Monkeys. Drug Metab Dispos 2017; 46:178-188. [PMID: 29162614 DOI: 10.1124/dmd.117.077586] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Accepted: 11/17/2017] [Indexed: 12/21/2022] Open
Abstract
Perturbation of organic anion transporter (OAT) 1- and OAT3-mediated transport can alter the exposure, efficacy, and safety of drugs. Although there have been reports of the endogenous biomarkers for OAT1/3, none of these have all of the characteristics required for a clinical useful biomarker. Cynomolgus monkeys were treated with intravenous probenecid (PROB) at a dose of 40 mg/kg in this study. As expected, PROB increased the area under the plasma concentration-time curve (AUC) of coadministered furosemide, a known substrate of OAT1 and OAT3, by 4.1-fold, consistent with the values reported in humans (3.1- to 3.7-fold). Of the 233 plasma metabolites analyzed using a liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based metabolomics method, 29 metabolites, including pyridoxic acid (PDA) and homovanillic acid (HVA), were significantly increased after either 1 or 3 hours in plasma from the monkeys pretreated with PROB compared with the treated animals. The plasma of animals was then subjected to targeted LC-MS/MS analysis, which confirmed that the PDA and HVA AUCs increased by approximately 2- to 3-fold by PROB pretreatments. PROB also increased the plasma concentrations of hexadecanedioic acid (HDA) and tetradecanedioic acid (TDA), although the increases were not statistically significant. Moreover, transporter profiling assessed using stable cell lines constitutively expressing transporters demonstrated that PDA and HVA are substrates for human OAT1, OAT3, OAT2 (HVA), and OAT4 (PDA), but not OCT2, MATE1, MATE2K, OATP1B1, OATP1B3, and sodium taurocholate cotransporting polypeptide. Collectively, these findings suggest that PDA and HVA might serve as blood-based endogenous probes of cynomolgus monkey OAT1 and OAT3, and investigation of PDA and HVA as circulating endogenous biomarkers of human OAT1 and OAT3 function is warranted.
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Affiliation(s)
- Hong Shen
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
| | - David M Nelson
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
| | - Regina V Oliveira
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
| | - Yueping Zhang
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
| | - Colleen A Mcnaney
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
| | - Xiaomei Gu
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
| | - Weiqi Chen
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
| | - Ching Su
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
| | - Michael D Reily
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
| | - Petia A Shipkova
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
| | - Jinping Gan
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
| | - Yurong Lai
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
| | - Punit Marathe
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
| | - W Griffith Humphreys
- Departments of Metabolism and Pharmacokinetics (H.S., Y.Z., X.G., W.C., J.G., Y.L., P.M., W.G.H.), Discovery Toxicology (D.M.N.), Bioanalytical and Discovery Analytical Sciences (R.V.O., C.A.M., M.D.R., P.A.S.), and Discovery Pharmaceutics (C.S.), Pharmaceutical Candidate Optimization, Bristol-Myers Squibb Research and Development, Princeton, New Jersey
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8
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Different Involvement of OAT in Renal Disposition of Oral Anticoagulants Rivaroxaban, Dabigatran, and Apixaban. J Pharm Sci 2017; 106:2524-2534. [DOI: 10.1016/j.xphs.2017.04.044] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2016] [Revised: 04/19/2017] [Accepted: 04/20/2017] [Indexed: 12/14/2022]
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9
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Ball K, Jamier T, Parmentier Y, Denizot C, Mallier A, Chenel M. Prediction of renal transporter-mediated drug-drug interactions for a drug which is an OAT substrate and inhibitor using PBPK modelling. Eur J Pharm Sci 2017; 106:122-132. [PMID: 28552429 DOI: 10.1016/j.ejps.2017.05.055] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 05/04/2017] [Accepted: 05/23/2017] [Indexed: 01/06/2023]
Abstract
A PBPK modelling approach was used to predict organic anion transporter (OAT) mediated drug-drug interactions involving S44121, a substrate and an inhibitor of OAT1 and OAT3. Model predictions were then compared to the results of a clinical DDI study which was carried out to investigate the interaction of S44121 with probenecid, tenofovir and ciprofloxacin. PBPK models were developed and qualified using existing clinical data, and inhibition constants were determined in vitro. The model predictions for S44121 as an OAT inhibitor were similar to the results obtained from the clinical DDI study, with no interaction observed for tenofovir or ciprofloxacin in the presence of S44121. An observed AUC ratio of 2.2 was obtained for S44121 in the presence of probenecid, which was slightly higher than the model predicted AUC ratio of 1.6. A DDI study in the monkey was also carried out for the interaction between S44121 and probenecid, since the monkey has previously been reported to be a good preclinical model for OAT-mediated DDI. However, this study highlighted a species difference in the major route of S44121 elimination between monkey (mainly hepatic metabolism) and human (mainly renal excretion of unchanged drug), rendering a comparison between the two DDI studies difficult. Overall, for S44121 the PBPK modelling approach gave a better prediction of the extent of DDI than the static predictions based on inhibitor Cmax and IC50, therefore this can be considered a potentially valuable tool within drug development.
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Affiliation(s)
- Kathryn Ball
- Clinical Pharmacokinetics and Pharmacometrics Department, Institut de Recherches Internationales Servier, Suresnes, France.
| | - Tanguy Jamier
- Clinical Pharmacokinetics and Pharmacometrics Department, Institut de Recherches Internationales Servier, Suresnes, France
| | - Yannick Parmentier
- Nonclinical Pharmacokinetics and Biopharmaceutical Research Department, Technologie Servier, Orleans, France
| | - Claire Denizot
- Nonclinical Pharmacokinetics and Biopharmaceutical Research Department, Technologie Servier, Orleans, France
| | - Agnes Mallier
- Nonclinical Pharmacokinetics and Biopharmaceutical Research Department, Technologie Servier, Orleans, France
| | - Marylore Chenel
- Clinical Pharmacokinetics and Pharmacometrics Department, Institut de Recherches Internationales Servier, Suresnes, France
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10
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Uchida Y, Toyohara T, Ohtsuki S, Moriyama Y, Abe T, Terasaki T. Quantitative Targeted Absolute Proteomics for 28 Transporters in Brush-Border and Basolateral Membrane Fractions of Rat Kidney. J Pharm Sci 2016; 105:1011-1016. [PMID: 26367854 DOI: 10.1002/jps.24645] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Revised: 08/24/2015] [Accepted: 08/26/2015] [Indexed: 12/20/2022]
Abstract
The purpose of the present study was to determine the absolute protein expression levels of various transporters in renal brush-border membrane (BBM) and basolateral membrane (BLM) fractions, in order to understand the quantitative differences in average transport activities among different transporters at each cellular membrane. BBM and BLM fractions of rat kidney were prepared and digested with trypsin, and simultaneous absolute quantification of 28 transporters and a BLM marker, Na(+)/K(+)-ATPase, was performed using our established quantitative-targeted absolute proteomics (QTAP) technique. In BBM fraction, the protein expression levels of bcrp, urat1, mate1, octl1, mrp4, mdr1a, and abca3 were 40.3, 22.2, 8.90, 4.85, 4.69, 3.22, and 0.976 fmol/μg protein, respectively. In BLM fraction, the protein expression levels of oat1, oat3, oct1, mrp6, and mrp1 were 10.6, 10.2, 4.59, 0.724, and 0.271 fmol/μg protein, respectively. The expression levels of abca2, abca4, abca5, abca12, abcb4, mrp5, abcc9, abcg1, abcg5, lat1, ntcp, pgt, oatp2b1, oatp1b2, oatp3a1, and oct3 were under the limit of quantification in both fractions. The quantitative transporter protein expression profiles at these membranes, as determined by QTAP analysis, should be helpful to understand the contributions of individual transporters to renal excretion of xenobiotics and endogenous compounds.
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Affiliation(s)
- Yasuo Uchida
- Division of Membrane Transport and Drug Targeting, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan
| | - Takafumi Toyohara
- Division of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Sumio Ohtsuki
- Department of Pharmaceutical Microbiology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Yoshinori Moriyama
- Department of Membrane Biochemistry, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan; Advanced Science Research Center, Okayama University, Okayama, Japan
| | - Takaaki Abe
- Division of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan; Department of Clinical Biology and Hormonal Regulation, Tohoku University Graduate School of Medicine, Sendai, Japan; Division of Medical Science, Tohoku University Graduate School of Biomedical Engineering, Sendai, Japan
| | - Tetsuya Terasaki
- Division of Membrane Transport and Drug Targeting, Graduate School of Pharmaceutical Sciences, Tohoku University, Sendai, Japan.
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11
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Shen H, Liu T, Jiang H, Titsch C, Taylor K, Kandoussi H, Qiu X, Chen C, Sukrutharaj S, Kuit K, Mintier G, Krishnamurthy P, Fancher RM, Zeng J, Rodrigues AD, Marathe P, Lai Y. Cynomolgus Monkey as a Clinically Relevant Model to Study Transport Involving Renal Organic Cation Transporters: In Vitro and In Vivo Evaluation. Drug Metab Dispos 2015; 44:238-49. [DOI: 10.1124/dmd.115.066852] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Accepted: 11/19/2015] [Indexed: 01/12/2023] Open
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12
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Comparison of minipig, dog, monkey and human drug metabolism and disposition. J Pharmacol Toxicol Methods 2014; 74:80-92. [PMID: 25545337 DOI: 10.1016/j.vascn.2014.12.005] [Citation(s) in RCA: 79] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2014] [Revised: 12/02/2014] [Accepted: 12/16/2014] [Indexed: 02/06/2023]
Abstract
INTRODUCTION This article gives an overview of the drug metabolism and disposition (ADME) characteristics of the most common non-rodent species used in toxicity testing of drugs (minipigs, dogs, and monkeys) and compares these to human characteristics with regard to enzymes mediating the metabolism of drugs and the transport proteins which contribute to the absorption, distribution and excretion of drugs. METHODS Literature on ADME and regulatory guidelines of relevance in drug development of small molecules has been gathered. RESULTS Non-human primates (monkeys) are the species that is closest to humans in terms of genetic homology. Dogs have an advantage due to the ready availability of comprehensive background data for toxicological safety assessment and dogs are easy to handle. Pigs have been used less than dogs and monkeys as a model in safety assessment of drug candidates. However, when a drug candidate is metabolised by aldehyde oxidase (AOX1), N-acetyltransferases (NAT1 and NAT2) or cytochrome (CYP2C9-like) enzymes which are not expressed in dogs, but are present in pigs, this species may be a better choice than dogs, provided that adequate exposure can be obtained in pigs. Conversely, pigs might not be the right choice if sulfation, involving 3-phospho-adenosyl-5-phosphosulphate sulphotransferase (PAPS) is an important pathway in the human metabolism of a drug candidate. DISCUSSION In general, the species selection should be based on comparison between in vitro studies with human cell-based systems and animal-cell-based systems. Results from pharmacokinetic studies are also important for decision-making by establishing the obtainable exposure level in the species. Access to genetically humanized mouse models and highly sensitive analytical methods (accelerator mass spectrometry) makes it possible to improve the chance of finding all metabolites relevant for humans before clinical trials have been initiated and, if necessary, to include another animal species before long term toxicity studies are initiated. In conclusion, safety testing can be optimized by applying knowledge about species ADME differences and utilising advanced analytical techniques.
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13
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Interspecies Pharmacokinetics. 1. Allometric Scaling of Pharmacokinetic Parameters (a Review). Pharm Chem J 2014. [DOI: 10.1007/s11094-014-1124-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Jaiswal S, Sharma A, Shukla M, Vaghasiya K, Rangaraj N, Lal J. Novel pre-clinical methodologies for pharmacokinetic drug-drug interaction studies: spotlight on "humanized" animal models. Drug Metab Rev 2014; 46:475-93. [PMID: 25270219 DOI: 10.3109/03602532.2014.967866] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Poly-therapy is common due to co-occurrence of several ailments in patients, leading to the elevated possibility of drug-drug interactions (DDI). Pharmacokinetic DDI often accounts for severe adverse drug reactions in patients resulting in withdrawal of drug from the market. Hence, the prediction of DDI is necessary at pre-clinical stage of drug development. Several human tissue and cell line-based in vitro systems are routinely used for screening metabolic and transporter pathways of investigational drugs and for predicting their clinical DDI potentials. However, ample constraints are associated with the in vitro systems and sometimes in vitro-in vivo extrapolation (IVIVE) fail to assess the risk of DDI in clinic. In vitro-in vivo correlation model in animals combined with human in vitro studies may be helpful in better prediction of clinical outcome. Native animal models vary remarkably from humans in drug metabolizing enzymes and transporters, hence, the interpretation of results from animal DDI studies is difficult. With the advent of modern molecular biology and engineering tools, novel pre-clinical animal models, namely, knockout rat/mouse, transgenic rat/mouse with humanized drug metabolizing enzymes and/or transporters and chimeric rat/mouse with humanized liver are developed. These models nearly simulate human-like drug metabolism and help to validate the in vivo relevance of the in vitro human DDI data. This review briefly discusses the application of such novel pre-clinical models for screening various type of DDI along with their advantages and limitations.
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Affiliation(s)
- Swati Jaiswal
- Pharmacokinetics & Metabolism Division, CSIR-Central Drug Research Institute , Lucknow , India
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15
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Di L, Feng B, Goosen TC, Lai Y, Steyn SJ, Varma MV, Obach RS. A perspective on the prediction of drug pharmacokinetics and disposition in drug research and development. Drug Metab Dispos 2013; 41:1975-93. [PMID: 24065860 DOI: 10.1124/dmd.113.054031] [Citation(s) in RCA: 70] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
Prediction of human pharmacokinetics of new drugs, as well as other disposition attributes, has become a routine practice in drug research and development. Prior to the 1990s, drug disposition science was used in a mostly descriptive manner in the drug development phase. With the advent of in vitro methods and availability of human-derived reagents for in vitro studies, drug-disposition scientists became engaged in the compound design phase of drug discovery to optimize and predict human disposition properties prior to nomination of candidate compounds into the drug development phase. This has reaped benefits in that the attrition rate of new drug candidates in drug development for reasons of unacceptable pharmacokinetics has greatly decreased. Attributes that are predicted include clearance, volume of distribution, half-life, absorption, and drug-drug interactions. In this article, we offer our experience-based perspectives on the tools and methods of predicting human drug disposition using in vitro and animal data.
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Affiliation(s)
- Li Di
- Pfizer Inc., Groton, Connecticut
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16
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Takahashi T, Ohtsuka T, Yoshikawa T, Tatekawa I, Uno Y, Utoh M, Yamazaki H, Kume T. Pitavastatin as an In Vivo Probe for Studying Hepatic Organic Anion Transporting Polypeptide-Mediated Drug–Drug Interactions in Cynomolgus Monkeys. Drug Metab Dispos 2013; 41:1875-82. [DOI: 10.1124/dmd.113.052753] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
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17
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Li RWS, Yang C, Kwan YW, Chan SW, Lee SMY, Leung GPH. Involvement of organic cation transporter-3 and plasma membrane monoamine transporter in serotonin uptake in human brain vascular smooth muscle cells. Front Pharmacol 2013; 4:14. [PMID: 23407616 PMCID: PMC3569667 DOI: 10.3389/fphar.2013.00014] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2012] [Accepted: 01/25/2013] [Indexed: 02/01/2023] Open
Abstract
The serotonin (5-HT) uptake system is supposed to play a crucial part in vascular functions by “fine-tuning” the local concentration of 5-HT in the vicinity of 5-HT2 receptors in vascular smooth muscle cells. In this study, the mechanism of 5-HT uptake in human brain vascular smooth muscle cells (HBVSMCs) was investigated. [3H]5-HT uptake in HBVSMCs was Na+-independent. Kinetic analyses of [3H]5-HT uptake in HBVSMCs revealed a Km of 50.36 ± 10.2 mM and a Vmax of 1033.61 ± 98.86 pmol/mg protein/min. The specific serotonin re-uptake transporter (SERT) inhibitor citalopram, the specific norepinephrine transporter (NET) inhibitor desipramine, and the dopamine transporter (DAT) inhibitor GBR12935 inhibited 5-HT uptake in HBVSMCs with IC50 values of 97.03 ± 40.10, 10.49 ± 5.98, and 2.80 ± 1.04 μM, respectively. These IC50 values were 100-fold higher than data reported by other authors, suggesting that those inhibitors were not blocking their corresponding transporters. Reverse transcription-polymerase chain reaction results demonstrated the presence of mRNA for organic cation transporter (OCT)-3 and plasma membrane monoamine transporter (PMAT), but the absence of OCT-1, OCT-2, SERT, NET, and DAT. siRNA knockdown of OCT-3 and PMAT specifically attenuated 5-HT uptake in HBVSMCs. It is concluded that 5-HT uptake in HBVSMCs was mediated predominantly by a low-affinity and Na+-independent mechanism. The most probable candidates are OCT-3 and PMAT, but not the SERT.
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Affiliation(s)
- Rachel W S Li
- Department of Pharmacology and Pharmacy, The University of Hong Kong Pokfulam, Hong Kong
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18
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Chu X, Bleasby K, Evers R. Species differences in drug transporters and implications for translating preclinical findings to humans. Expert Opin Drug Metab Toxicol 2012; 9:237-52. [DOI: 10.1517/17425255.2013.741589] [Citation(s) in RCA: 208] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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19
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Felmlee MA, Dave RA, Morris ME. Mechanistic models describing active renal reabsorption and secretion: a simulation-based study. AAPS JOURNAL 2012. [PMID: 23196805 DOI: 10.1208/s12248-012-9437-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The objective of the present study was to evaluate mechanistic pharmacokinetic models describing active renal secretion and reabsorption over a range of Michaelis-Menten parameter estimates and doses. Plasma concentration and urinary excretion profiles were simulated and renal clearance (CL(r)) was calculated for two pharmacokinetic models describing active renal reabsorption (R1/R2), two models describing active secretion (S1/S2), and a model containing both processes. A range of doses (1-1,000 mg/kg) was evaluated, and V (max) and K (m) parameter estimates were varied over a 100-fold range. Similar CL(r) values were predicted for reabsorption models (R1/R2) with variations in V (max) and K (m). Tubular secretion models (S1/S2) yielded similar relationships between Michaelis-Menten parameter perturbations and CL(r), but the predicted CL(r) values were threefold higher for model S1. For both reabsorption and secretion models, the greatest changes in CL(r) were observed with perturbations in V (max), suggesting the need for an accurate estimate of this parameter. When intrinsic clearance was substituted for Michaelis-Menten parameters, it failed to predict similar CL(r) values even within the linear range. For models S1 and S2, renal secretion was predominant at low doses, whereas renal clearance was driven by fraction unbound in plasma at high doses. Simulations demonstrated the importance of Michaelis-Menten parameter estimates (especially V (max)) for determining CL(r). K (m) estimates can easily be obtained directly from in vitro studies. However, additional scaling of in vitro V (max) estimates using in vitro/in vivo extrapolation methods are required to incorporate these parameters into pharmacokinetic models.
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Affiliation(s)
- Melanie A Felmlee
- Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14214, USA
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20
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Burckhardt G. Drug transport by Organic Anion Transporters (OATs). Pharmacol Ther 2012; 136:106-30. [PMID: 22841915 DOI: 10.1016/j.pharmthera.2012.07.010] [Citation(s) in RCA: 243] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2012] [Accepted: 07/10/2012] [Indexed: 02/08/2023]
Abstract
Common to all so far functionally characterized Organic Anion Transporters (OATs) is their broad substrate specificity and their ability to exchange extracellular against intracellular organic anions. Many OATs occur in renal proximal tubules, the site of active drug secretion. Exceptions are murine Oat6 (nasal epithelium), human OAT7 (liver), and rat Oat8 (renal collecting ducts). In human kidneys, OAT1, OAT2, and OAT3 are localized in the basolateral membrane, and OAT4, OAT10, and URAT1 in the apical cell membrane of proximal tubule cells, respectively. In rats and mice, Oat1 and Oat3 are located basolaterally, and Oat2, Oat5, Oat9, Oat10, and Urat1 apically. Several classes of drugs interact with human OAT1-3, including ACE inhibitors, angiotensin II receptor antagonists, diuretics, HMG CoA reductase inhibitors, β-lactam antibiotics, antineoplastic and antiviral drugs, and uricosuric drugs. For most drugs, interaction was demonstrated in vitro by inhibition of OAT-mediated transport of model substrates; for some drugs, transport by OATs was directly proven. Based on IC₅₀ values reported in the literature, OAT1 and OAT3 show comparable affinities for diuretics, cephalosporins, and nonsteroidal anti-inflammatory drugs whereas OAT2 has a lower affinity to most of these compounds. Drug-drug interactions at OAT1 and OAT3 may retard renal drug secretion and cause untoward effects. OAT4, OAT10, and URAT1 in the apical membrane contribute to proximal tubular urate absorption, and OAT10 to nicotinate absorption. OAT4 is in addition able to release drugs, e.g. diuretics, into the tubule lumen.
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Affiliation(s)
- Gerhard Burckhardt
- Abteilung Vegetative Physiologie und Pathophysiologie, Zentrum Physiologie und Pathophysiologie, Universitätsmedizin Göttingen, Humboldtallee 23, 37073 Göttingen, Germany.
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Lepist EI, Ray AS. Renal drug–drug interactions: what we have learned and where we are going. Expert Opin Drug Metab Toxicol 2012; 8:433-48. [DOI: 10.1517/17425255.2012.667401] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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22
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Berry LM, Li C, Zhao Z. Species differences in distribution and prediction of human V(ss) from preclinical data. Drug Metab Dispos 2011; 39:2103-16. [PMID: 21852367 DOI: 10.1124/dmd.111.040766] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Prediction of human volume of distribution at steady state (V(ss)) before first administration of a new drug candidate to humans has become an important part of the drug development process. This study examines the assumptions behind interspecies scaling techniques used to predict human V(ss) from preclinical data, namely the equivalency of V(ss,u) and/or f(ut) across species. In addition, several interspecies scaling techniques are evaluated side by side using a set of 67 reference compounds where observed V(ss) from rats, dogs, monkeys, and humans were compiled from the literature and where plasma protein binding was determined across species using an ultracentrifugation technique. Species similarity in V(ss,u) or f(ut) does not appear to be the norm among rats, dogs, monkeys, or humans. Despite this, interspecies scaling from rats, dogs, and monkeys is useful and can provide reasonably accurate predictions of human V(ss), although some interspecies scaling approaches were better than others. For example, the performance of the common V(ss,u) or f(ut) equivalency approaches using average V(ss,u) or f(ut) across three preclinical species was superior to allometric scaling techniques. In addition, considering data from several preclinical species, using the equivalency approach, was superior to scaling from any single species. Although the mechanistic tissue composition equations available in the Simcyp population-based pharmacokinetic simulator did not necessarily provide the most accurate predictions, and the equations used likely need refinement, they still provide the best opportunity for a mechanistic understanding and prediction of human V(ss).
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Affiliation(s)
- Loren M Berry
- Pharmacokinetics and Drug Metabolism, Amgen, Inc., 360 Binney St., Cambridge, MA 02142, USA.
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Watanabe T, Kusuhara H, Watanabe T, Debori Y, Maeda K, Kondo T, Nakayama H, Horita S, Ogilvie BW, Parkinson A, Hu Z, Sugiyama Y. Prediction of the Overall Renal Tubular Secretion and Hepatic Clearance of Anionic Drugs and a Renal Drug-Drug Interaction Involving Organic Anion Transporter 3 in Humans by In Vitro Uptake Experiments. Drug Metab Dispos 2011; 39:1031-8. [DOI: 10.1124/dmd.110.036129] [Citation(s) in RCA: 82] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
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24
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Burckhardt G, Burckhardt BC. In vitro and in vivo evidence of the importance of organic anion transporters (OATs) in drug therapy. Handb Exp Pharmacol 2011:29-104. [PMID: 21103968 DOI: 10.1007/978-3-642-14541-4_2] [Citation(s) in RCA: 136] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Organic anion transporters 1-10 (OAT1-10) and the urate transporter 1 (URAT1) belong to the SLC22A gene family and accept a huge variety of chemically unrelated endogenous and exogenous organic anions including many frequently described drugs. OAT1 and OAT3 are located in the basolateral membrane of renal proximal tubule cells and are responsible for drug uptake from the blood into the cells. OAT4 in the apical membrane of human proximal tubule cells is related to drug exit into the lumen and to uptake of estrone sulfate and urate from the lumen into the cell. URAT1 is the major urate-absorbing transporter in the apical membrane and is a target for uricosuric drugs. OAT10, also located in the luminal membrane, transports nicotinate with high affinity and interacts with drugs. Major extrarenal locations of OATs include the blood-brain barrier for OAT3, the placenta for OAT4, the nasal epithelium for OAT6, and the liver for OAT2 and OAT7. For all transporters we provide information on cloning, tissue distribution, factors influencing OAT abundance, interaction with endogenous compounds and different drug classes, drug/drug interactions and, if known, single nucleotide polymorphisms.
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Affiliation(s)
- Gerhard Burckhardt
- Abteilung Vegetative Physiologie und Pathophysiologie, Zentrum Physiologie und Pathophysiologie, Göttingen, Germany.
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Lee KR, Maeng HJ, Chae JB, Chong S, Kim DD, Shim CK, Chung SJ. Lack of a primary physicochemical determinant in the direct transport of drugs to the brain after nasal administration in rats: potential involvement of transporters in the pathway. Drug Metab Pharmacokinet 2010; 25:430-41. [PMID: 20924140 DOI: 10.2133/dmpk.dmpk-10-rg-049] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
The objectives of this study were to evaluate the relative contribution of the direct pathway in overall brain transport for 17 model drugs with different physicochemical properties after nasal administrations and to identify factors that govern the fraction of the dose transported to the brain via the direct pathway (F(a, direct)). When the model drugs were nasally administered to rats, 5 of the 17 model drugs were delivered to a significant extent to the brain via the direct pathway. Multiple linear regression analyses showed that the correlation between various physicochemical properties and F(a, direct) was not statistically significant, indicative of a lack of primary physicochemical determinants in the direct transport pathway. Transporters such as rOAT3 and rOCT2 were expressed at significant levels in rat olfactory epithelia, and uptakes of standard substrates were significantly decreased in HEK293 cells expressing rOAT3 and rOCT2 in the presence of the five model drugs that were delivered to appreciable extents to the brain via the direct pathway. Therefore, these observations indicate that carrier-mediated transport may play a role in the brain delivery of drugs from the nose via the direct transport pathway.
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Affiliation(s)
- Kyeong-Ryoon Lee
- College of Pharmacy, Seoul National University, Gwanak 599, Gwanak-ro, Gwanak-gu, Seoul 151-742, South Korea
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26
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Kuhlmann O, Paehler A, Weick I, Funk C, Pantze M, Zell M, Timm U. Pharmacokinetics and metabolism of the dipeptidyl peptidase IV inhibitor carmegliptin in rats, dogs, and monkeys. Xenobiotica 2010; 40:840-52. [DOI: 10.3109/00498254.2010.519406] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
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Tamaki S, Komura H, Kogayu M, Yamada S. Comparative assessment of empirical and physiological approaches on predicting human clearances. J Pharm Sci 2010; 100:1147-55. [PMID: 20830811 DOI: 10.1002/jps.22321] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2010] [Revised: 06/07/2010] [Accepted: 07/07/2010] [Indexed: 01/28/2023]
Abstract
The empirical and physiological predictive approaches to human clearance were evaluated using preclinical in vitro and in vivo data of various datasets to establish a methodology for the prediction of clearance. Among the examined empirical approaches, an allometric scaling method with the rule of exponent (ROE), based on the exponent in simple allometry, provided better prediction. The effect of lipophilicity (clog P) and clearance on the predictivity was investigated using the ROE method. High predictivity was found for a low lipophilic compound with clog P < 0 and for a compound with moderate or high clearance. As a physiological approach, the in vitro-in vivo scaling method using metabolic stability in liver microsomes and hepatocytes was evaluated, and the predictivity taking the plasma protein binding and the nonspecific binding in incubation into consideration was compared with the ROE method. The two methods appeared to show comparable predictivity, although the in vitro-in vivo scaling was conducted under limited conditions like the use of physiological scaling factor and lipophilicity-derived nonspecific binding data. The ROE method could be an alternative predictor of the human clearance of compounds to which a physiological approach cannot be applied, in addition to low lipophilic compounds, with acceptable accuracy.
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Affiliation(s)
- Sekihiro Tamaki
- Department of Pharmacokinetics and Pharmacodynamics and Global Center of Excellence Program, University of Shizuoka, 52-1 Yada, Suruga-ku, Shizuoka 422-8526, Japan
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Lai Y, Sampson KE, Balogh LM, Brayman TG, Cox SR, Adams WJ, Kumar V, Stevens JC. Preclinical and Clinical Evidence for the Collaborative Transport and Renal Secretion of an Oxazolidinone Antibiotic by Organic Anion Transporter 3 (OAT3/SLC22A8) and Multidrug and Toxin Extrusion Protein 1 (MATE1/SLC47A1). J Pharmacol Exp Ther 2010; 334:936-44. [DOI: 10.1124/jpet.110.170753] [Citation(s) in RCA: 26] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
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29
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Tang C, Prueksaritanont T. Use of in vivo animal models to assess pharmacokinetic drug-drug interactions. Pharm Res 2010; 27:1772-87. [PMID: 20428930 DOI: 10.1007/s11095-010-0157-z] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2010] [Accepted: 04/08/2010] [Indexed: 12/31/2022]
Abstract
Animal models are used commonly in various stages of drug discovery and development to aid in the prospective assessment of drug-drug interaction (DDI) potential and the understanding of the underlying mechanism for DDI of a drug candidate. In vivo assessments in an appropriate animal model can be very valuable, when used in combination with in vitro systems, to help verify in vivo relevance of the in vitro animal-based results, and thus substantiate the extrapolation of in vitro human data to clinical outcomes. From a pharmacokinetic standpoint, a key consideration for rational selection of an animal model is based on broad similarities to humans in important physiological and biochemical parameters governing drug absorption, distribution, metabolism or excretion (ADME) processes in question for both the perpetrator and victim drugs. Equally critical are specific in vitro and/or in vivo experiments to demonstrate those similarities, usually both qualitative and quantitative, in the ADME properties/processes under investigation. In this review, theoretical basis and specific examples are presented to illustrate the utility of the animal models in assessing the potential and understanding the mechanisms of DDIs.
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Affiliation(s)
- Cuyue Tang
- Department of Drug Metabolism and Pharmacokinetics, Merck Research Laboratories, Merck & Co., Inc., WP75A-203, West Point, Pennsylvania 19486, USA
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Johnston TH, van der Meij A, Brotchie JM, Fox SH. Effect of histamine H2
receptor antagonism on levodopa-induced dyskinesia in the MPTP-macaque model of Parkinson's disease. Mov Disord 2010; 25:1379-90. [DOI: 10.1002/mds.23069] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
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31
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Janneh O, Anwar T, Jungbauer C, Kopp S, Khoo SH, Back DJ, Chiba P. P-glycoprotein, multidrug resistance-associated proteins and human organic anion transporting polypeptide influence the intracellular accumulation of atazanavir. Antivir Ther 2010; 14:965-74. [PMID: 19918100 DOI: 10.3851/imp1399] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND Drug efflux (for example, P-glycoprotein [P-gp], multidrug resistance-associated proteins [MRPs] and breast cancer resistance protein [BCRP]) and influx (for example, human organic anion transporting polypeptide [hOCTP] or human organic anion transporting polypeptide [hOATP]) transporters alter the cellular concentrations of some HIV protease inhibitors (HPIs). Here, we studied the lipophilicity and uptake of [(3)H]-atazanavir (ATV) in CEM (parental), CEM(VBL) (P-gp-overexpressing), CEM(E1000) (MRP1-overexpressing) and peripheral blood mononuclear cells (PBMCs), and evaluate the effects of modulators of drug transporters on uptake. METHODS Lipophilicity was measured by octanol/saline partition method. The influence of influx/efflux transporters on uptake was evaluated in the absence and presence of inhibitors of P-gp (GPV031), P-gp/BCRP (tariquidar and GF120918), P-gp/MRP1 (dipyridamole and daidzein), MRP1/2 (frusemide and genistein), hOATP/hOCTP (estrone-3-sulfate [E-3-S]) and hOATP/hOCTP/MRP (probenecid). The effects of a number of HPIs on uptake were also evaluated. Data from digitonin permeabilized cells allowed the evaluation of the contribution of cellular binding to total drug uptake, whereas the inhibitory effect of ATV on P-gp was assessed by daunomycin efflux/uptake assays. RESULTS [(3)H]-ATV is lipophilic and accumulates in the cultured cells as follows: CEM>CEM(E1000)>CEM(VBL). Tariquidar, GF120918 and daidzein significantly increased the uptake of [(3)H]-ATV in the cultured cells. By contrast, only daidzein and tipranavir significantly increased uptake in PBMCs, with tariquidar and frusemide devoid of effects, whereas dipyridamole, E-3-S, GPV031 and genistein significantly decreased accumulation. ATV inhibits P-gp activity; manipulation of uptake with digitonin suggests binding of [(3)H]-ATV to P-gp. CONCLUSIONS [(3)H]-ATV is lipophilic, a P-gp, MRP and hOATP substrate and an inhibitor of P-gp. Concomitant administration of ATV with drugs and dietary components (for example, daidzein and genistein) that interact with these transporters could alter its pharmacokinetics.
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Affiliation(s)
- Omar Janneh
- Department of Biomolecular and Sport Sciences, Coventry University, Coventry, UK.
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Janneh O, Owen A, Bray PG, Back DJ, Pirmohamed M. The accumulation and metabolism of zidovudine in 3T3-F442A pre-adipocytes. Br J Pharmacol 2009; 159:484-93. [PMID: 20015290 DOI: 10.1111/j.1476-5381.2009.00552.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND AND PURPOSE Cultured pre-adipocytes accumulate and metabolize zidovudine (ZDV), but its mode of accumulation into these cells is unclear. We investigated the mode of accumulation of [(3)H]-ZDV, and the impact of changes in external pH and modulators of drug transporters on its accumulation and metabolism. EXPERIMENTAL APPROACH The initial rate and steady-state accumulation of [(3)H]-ZDV were measured in 3T3-F442A cells. P-glycoprotein (P-gp) expression was detected by Western blotting. External pH was varied, and modulators of intracellular pH and drug transporters were used to study the mode of accumulation of ZDV. Phosphorylated ZDV metabolites were detected by high-performance liquid chromatography. KEY RESULTS Intracellular accumulation of ZDV was rapid, reaching equilibrium within 20 min; nigericin increased accumulation by 1.9-fold, but this did not alter the generation of ZDV mono-, di- and triphosphate. The accumulation and metabolism were pH dependent, being maximal at pH 7.4 and least at pH 5.1. Monensin, carbonyl cyanide p-trifluoromethoxy) phenyl hydrazone, brefeldin A, bafilomycin A1 and concanamycin A increased accumulation; 2-deoxyglucose, dipyridamole, thymidine and tetraphenylphosphonium inhibited accumulation. The accumulation was saturable; the derived K(d) and capacity of binding were 250 nmol per 10(6) cells and 265 nM respectively. 3T3-F442A cells express P-gp; inhibitors of P-gp (XR9576 and verapamil), P-gp/BCRP (GF120918), multidrug resistance protein (MRP) (MK571) and MRP/OATP (probenecid) increased the accumulation of ZDV. Saquinavir, ritonavir, amprenavir and lopinavir increased accumulation. CONCLUSIONS AND IMPLICATIONS The accumulation of ZDV in 3T3-F442A cells was rapid, energy dependent, saturable and pH sensitive. Western blot analysis showed that 3T3-F442A cells express P-gp, and direct inhibition assays suggest that ZDV is a substrate of P-gp and MRP.
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Affiliation(s)
- Omar Janneh
- Department of Biomolecular and Sports Sciences, Coventry University, Coventry, UK.
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Grover A, Benet LZ. Effects of drug transporters on volume of distribution. AAPS J 2009; 11:250-61. [PMID: 19399628 PMCID: PMC2691462 DOI: 10.1208/s12248-009-9102-7] [Citation(s) in RCA: 102] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2009] [Accepted: 03/25/2009] [Indexed: 02/08/2023] Open
Abstract
Recently, drug transporters have emerged as significant modifiers of a patient's pharmacokinetics. In cases where the functioning of drug transporters is altered, such as by drug-drug interactions, by genetic polymorphisms, or as evidenced in knockout animals, the resulting change in volume of distribution can lead to a significant change in drug effect or likelihood of toxicity, as well as a change in half life independent of a change in clearance. Here, we review pharmacokinetic interactions at the transporter level that have been investigated in animals and humans and reported in literature, with a focus on the changes in distribution volume. We pay particular attention to the differing effects of changes in transporter function on the three measures of volume. Further, trends are discussed as they may be used to predict volume changes given the function of a transporter and the primary location of the interaction. Because the liver and kidneys express the greatest level and variety of transporters, we denote these organs as the primary location of transporter-based interactions. We conclude that the liver is a larger contributor to distribution volume than the kidneys, in consideration of both uptake and efflux transporters. Further, while altered distribution due to secondary interactions at tissues other than the liver and kidneys may have a pharmacodynamic effect, these interactions, at least at the blood-brain barrier, do not appear to significantly influence overall distribution volume. The analysis provides a framework for understanding potential pharmacokinetic interactions rooted in drug transporters as they modify drug distribution.
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Affiliation(s)
- Anita Grover
- Department of Biopharmaceutical Sciences, University of California, 533 Parnassus Ave, Room U-68, San Francisco, 94143-0912 CA USA
| | - Leslie Z. Benet
- Department of Biopharmaceutical Sciences, University of California, 533 Parnassus Ave, Room U-68, San Francisco, 94143-0912 CA USA
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Hosea NA, Collard WT, Cole S, Maurer TS, Fang RX, Jones H, Kakar SM, Nakai Y, Smith BJ, Webster R, Beaumont K. Prediction of human pharmacokinetics from preclinical information: comparative accuracy of quantitative prediction approaches. J Clin Pharmacol 2009; 49:513-33. [PMID: 19299532 DOI: 10.1177/0091270009333209] [Citation(s) in RCA: 217] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Quantitative prediction of human pharmacokinetics is critical in assessing the viability of drug candidates and in determining first-in-human dosing. Numerous prediction methodologies, incorporating both in vitro and preclinical in vivo data, have been developed in recent years, each with advantages and disadvantages. However, the lack of a comprehensive data set, both preclinical and clinical, has limited efforts to evaluate the optimal strategy (or strategies) that results in quantitative predictions of human pharmacokinetics. To address this issue, the authors conducted a retrospective analysis using 50 proprietary compounds for which in vitro, preclinical pharmacokinetic data and oral single-dose human pharmacokinetic data were available. Five predictive strategies, involving either allometry or use of unbound intrinsic clearance from microsomes or hepatocytes, were then compared for their ability to predict human oral clearance, half-life through predictions of systemic clearance, volume of distribution, and bioavailability. Use of a single-species scaling approach with rat, dog, or monkey was as accurate as or more accurate than using multiple-species allometry. For those compounds cleared almost exclusively by P450-mediated pathways, scaling from human liver microsomes was as predictive as single-species scaling of clearance based on data from rat, dog, or monkey. These data suggest that use of predictive methods involving either single-species in vivo data or in vitro human liver microsomes can quantitatively predict human in vivo pharmacokinetics and suggest the possibility of streamlining the predictive methodology through use of a single species or use only of human in vitro microsomal preparations.
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Affiliation(s)
- Natilie A Hosea
- Pfizer Inc, Department of Pharmacokinetics, Dynamics & Metabolism, San Diego, CA 92121, USA.
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Ogasawara A, Utoh M, Nii K, Ueda A, Yoshikawa T, Kume T, Fukuzaki K. Effect of Oral Ketoconazole on Oral and Intravenous Pharmacokinetics of Simvastatin and Its Acid in Cynomolgus Monkeys. Drug Metab Dispos 2008; 37:122-8. [DOI: 10.1124/dmd.108.022574] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
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Fujita K, Kodaira H, Kuwabara T, Kobayashi H. Pharmacokinetics and metabolism of KW-4490, a selective phosphodiesterase 4 inhibitor: difference in excretion of KW-4490 and acylglucuronide metabolites between rats and cynomolgus monkeys. Xenobiotica 2008; 38:511-26. [PMID: 18421624 DOI: 10.1080/00498250801935974] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
1. The pharmacokinetics and metabolism of KW-4490, a selective phosphodiesterase 4 inhibitor, were investigated in rats and monkeys. After oral administration, KW-4490 was rapidly absorbed, and then its plasma concentrations apparently declined with half-lives of approximately 5 h in rats and 3.5 h in cynomolgus monkeys; however, a number of secondary peaks were apparent in the profiles for both species. The plasma pharmacokinetics of KW-4490 were comparable between rats and monkeys. 2. After oral administration, KW-4490 was mainly eliminated by metabolism to acylglucuronides and renal excretion in the unchanged form. KW-4490 acylglucuronides were found in monkey but not rat urine. In rats, KW-4490 acylglucuronides were excreted only in bile. Although the pathway of excretion of acylglucuronides differed between rats and monkeys, cumulative excretion in the two animals was very similar, as expected from comparable hepatic clearance for glucuronidation in rat and monkey liver microsomes. 3. The glomerular filtration rate of unbound KW-4490 indicated that renal tubular secretion was significant in monkeys, whereas reabsorption was significant in rats. These species differences in urinary excretion of KW-4490 and its acylglucuronide metabolites are most likely due to substrate specificity of active transporters in rat and monkey kidney.
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Affiliation(s)
- K Fujita
- Pharmacokinetic Research Laboratories, Pharmaceutical Research Center, Kyowa Hakko Kogyo Co. Ltd, Shizuoka, Japan.
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37
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Rizwan AN, Burckhardt G. Organic anion transporters of the SLC22 family: biopharmaceutical, physiological, and pathological roles. Pharm Res 2007; 24:450-70. [PMID: 17245646 DOI: 10.1007/s11095-006-9181-4] [Citation(s) in RCA: 195] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2006] [Accepted: 10/19/2006] [Indexed: 02/08/2023]
Abstract
The human organic anion transporters OAT1, OAT2, OAT3, OAT4 and URAT1 belong to a family of poly-specific transporters mainly located in kidneys. Selected OATs occur also in liver, placenta, and brain. OATs interact with endogenous metabolic end products such as urate and acidic neutrotransmitter metabolites, as well as with a multitude of widely used drugs, including antibiotics, antihypertensives, antivirals, anti-inflammatory drugs, diuretics and uricosurics. Thereby, OATs play an important role in renal drug elimination and have an impact on pharmacokinetics. In this review we focus on the interaction of human OATs with drugs. We report the affinities of human OATs for drug classes and compare the putative importance of individual OATs for renal drug excretion. The role of OATs as sites of drug-drug interaction and mediators cell toxicity, their gender-dependent regulation in health and diseased states, and the possible impact of single nucleotide polymorphisms are also dealt with.
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Affiliation(s)
- Ahsan N Rizwan
- Abteilung Vegetative Physiologie und Pathophysiologie, Bereich Humanmedizin, Georg-August-Universität Göttingen, Humboldtallee 23, 37073, Göttingen, Germany
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Bleasby K, Castle JC, Roberts CJ, Cheng C, Bailey WJ, Sina JF, Kulkarni AV, Hafey MJ, Evers R, Johnson JM, Ulrich RG, Slatter JG. Expression profiles of 50 xenobiotic transporter genes in humans and pre-clinical species: a resource for investigations into drug disposition. Xenobiotica 2007; 36:963-88. [PMID: 17118916 DOI: 10.1080/00498250600861751] [Citation(s) in RCA: 211] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Carrier-mediated transporters play a critical role in xenobiotic disposition and transporter research is complicated by species differences and their selective tissue expression. The purpose of this study was to generate a comprehensive data set of xenobiotic transporter gene expression profiles in humans and the pre-clinical species mouse, rat, beagle dog and cynomolgus monkey. mRNA expression profiles of 50 genes from the ABC, SLC and SLCO transporter superfamilies were examined in 40 human tissues by microarray analyses. Transporter genes that were identified as enriched in the liver or kidney, or that were selected for their known roles in xenobiotic disposition, were then compared in 22 tissues across the five species. Finally, as clinical variability in drug response and adverse reactions may be the result of variability in transporter gene expression, variability in the expression of selected transporter genes in 75 human liver donors were examined and compared with the highly variable drug metabolizing enzyme CYP3A4.
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Affiliation(s)
- K Bleasby
- Department of Drug Metabolism, Merck Research Laboratories, Rahway, NJ 07065, USA.
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Ogasawara A, Kume T, Kazama E. Effect of oral ketoconazole on intestinal first-pass effect of midazolam and fexofenadine in cynomolgus monkeys. Drug Metab Dispos 2006; 35:410-8. [PMID: 17142564 DOI: 10.1124/dmd.106.011288] [Citation(s) in RCA: 46] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Because the expression of drug-metabolizing enzymes and drug efflux transporters has been shown in the intestine, the contribution of this tissue to the first-pass effect has become of significant interest. Consequently, a comprehensive understanding of the absorption barriers in key preclinical species would be useful for the precise characterization of drug candidates. In the present investigation, we evaluated the intestinal first-pass effect of midazolam (MDZ) and fexofenadine (FEX), typical substrates for CYP3A and P-glycoprotein (P-gp), respectively, with ketoconazole (KTZ) as a potent dual CYP3A/P-gp inhibitor in cynomolgus monkeys. When MDZ or FEX was administered i.v. at doses of 0.3 or 1 mg/kg, respectively, the plasma concentration-time profiles were not influenced by p.o. coadministration of KTZ (20 mg/kg). On the other hand, when MDZ or FEX was administered p.o. at doses of 1 or 5 mg/kg, respectively, concomitant with a dose p.o. of KTZ (20 mg/kg), significant increases were observed in the area under the plasma concentration-time curves of MDZ or FEX (22-fold in MDZ and 3-fold in FEX). These findings indicate that both CYP3A and P-gp play a key role in the intestinal barrier and that inhibition of intestinal CYP3A/P-gp activities contributes exclusively toward the drug-drug interactions (DDI) with KTZ. Additionally, the K(i) values of the antifungal agents, KTZ, itraconazole, and fluconazole, for MDZ 1'-hydroxylation in monkey intestinal and liver microsomes were comparable with those in the respective human samples. These results suggest that monkeys may be an appropriate animal species for evaluating the intestinal first-pass effect of p.o. administered drugs and predicting intestinal DDI related to CYP3A4 and P-gp in humans.
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Affiliation(s)
- Akihito Ogasawara
- Exploratory DMPK, Exploratory Toxicology and DMPK Research Laboratories, Tanabe Seiyaku Co., Ltd., 2-2-50, Kawagishi, Toda, Saitama, 335-8505, Japan.
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