1
|
Lin K, Kong X, Tao X, Zhai X, Lv L, Dong D, Yang S, Zhu Y. Research Methods and New Advances in Drug-Drug Interactions Mediated by Renal Transporters. Molecules 2023; 28:5252. [PMID: 37446913 DOI: 10.3390/molecules28135252] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Revised: 06/22/2023] [Accepted: 07/03/2023] [Indexed: 07/15/2023] Open
Abstract
The kidney is critical in the human body's excretion of drugs and their metabolites. Renal transporters participate in actively secreting substances from the proximal tubular cells and reabsorbing them in the distal renal tubules. They can affect the clearance rates (CLr) of drugs and their metabolites, eventually influence the clinical efficiency and side effects of drugs, and may produce drug-drug interactions (DDIs) of clinical significance. Renal transporters and renal transporter-mediated DDIs have also been studied by many researchers. In this article, the main types of in vitro research models used for the study of renal transporter-mediated DDIs are membrane-based assays, cell-based assays, and the renal slice uptake model. In vivo research models include animal experiments, gene knockout animal models, positron emission tomography (PET) technology, and studies on human beings. In addition, in vitro-in vivo extrapolation (IVIVE), ex vivo kidney perfusion (EVKP) models, and, more recently, biomarker methods and in silico models are included. This article reviews the traditional research methods of renal transporter-mediated DDIs, updates the recent progress in the development of the methods, and then classifies and summarizes the advantages and disadvantages of each method. Through the sorting work conducted in this paper, it will be convenient for researchers at different learning stages to choose the best method for their own research based on their own subject's situation when they are going to study DDIs mediated by renal transporters.
Collapse
Affiliation(s)
- Kexin Lin
- Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Xiaorui Kong
- Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Xufeng Tao
- Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Xiaohan Zhai
- Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Linlin Lv
- Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Deshi Dong
- Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Shilei Yang
- Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Yanna Zhu
- Department of Pharmacy, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| |
Collapse
|
2
|
Elsby R, Atkinson H, Butler P, Riley RJ. Studying the right transporter at the right time: an in vitro strategy for assessing drug-drug interaction risk during drug discovery and development. Expert Opin Drug Metab Toxicol 2022; 18:619-655. [PMID: 36205497 DOI: 10.1080/17425255.2022.2132932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Transporters are significant in dictating drug pharmacokinetics, thus inhibition of transporter function can alter drug concentrations resulting in drug-drug interactions (DDIs). Because they can impact drug toxicity, transporter DDIs are a regulatory concern for which prediction of clinical effect from in vitro data is critical to understanding risk. AREA COVERED The authors propose in vitro strategies to assist mitigating/removing transporter DDI risk during development by frontloading specific studies, or managing patient risk in the clinic. An overview of clinically relevant drug transporters and observed DDIs are provided, alongside presentation of key considerations/recommendations for in vitro study design evaluating drugs as inhibitors or substrates. Guidance on identifying critical co-medications, clinically relevant disposition pathways and using mechanistic static equations for quantitative prediction of DDI is compiled. EXPERT OPINION The strategies provided will facilitate project teams to study the right transporter at the right time to minimise development risks associated with DDIs. To truly alleviate or manage clinical risk, the industry will benefit from moving away from current qualitative basic static equation approaches to transporter DDI hazard assessment towards adopting the use of mechanistic models to enable quantitative DDI prediction, thereby contextualising risk to ascertain whether a transporter DDI is simply pharmacokinetic or clinically significant requiring intervention.
Collapse
Affiliation(s)
- Robert Elsby
- Drug Transporter Sciences, Cyprotex Discovery Ltd (an Evotec company), Alderley Park, Macclesfield, Cheshire, United Kingdom
| | - Hayley Atkinson
- Drug Transporter Sciences, Cyprotex Discovery Ltd (an Evotec company), Alderley Park, Macclesfield, Cheshire, United Kingdom
| | - Philip Butler
- ADME Sciences, Cyprotex Discovery Ltd (an Evotec company), Alderley Park, Macclesfield, Cheshire, United Kingdom
| | - Robert J Riley
- Drug Metabolism and Pharmacokinetics, Evotec, Abingdon, Oxfordshire, United Kingdom
| |
Collapse
|
3
|
Uddin ME, Eisenmann ED, Li Y, Huang KM, Garrison DA, Talebi Z, Gibson AA, Jin Y, Nepal M, Bonilla IM, Fu Q, Sun X, Millar A, Tarasov M, Jay CE, Cui X, Einolf HJ, Pelis RM, Smith SA, Radwański PB, Sweet DH, König J, Fromm MF, Carnes CA, Hu S, Sparreboom A. MATE1 Deficiency Exacerbates Dofetilide-Induced Proarrhythmia. Int J Mol Sci 2022; 23:8607. [PMID: 35955741 PMCID: PMC9369325 DOI: 10.3390/ijms23158607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 07/30/2022] [Accepted: 07/30/2022] [Indexed: 02/04/2023] Open
Abstract
Dofetilide is a rapid delayed rectifier potassium current inhibitor widely used to prevent the recurrence of atrial fibrillation and flutter. The clinical use of this drug is associated with increases in QTc interval, which predispose patients to ventricular cardiac arrhythmias. The mechanisms involved in the disposition of dofetilide, including its movement in and out of cardiomyocytes, remain unknown. Using a xenobiotic transporter screen, we identified MATE1 (SLC47A1) as a transporter of dofetilide and found that genetic knockout or pharmacological inhibition of MATE1 in mice was associated with enhanced retention of dofetilide in cardiomyocytes and increased QTc prolongation. The urinary excretion of dofetilide was also dependent on the MATE1 genotype, and we found that this transport mechanism provides a mechanistic basis for previously recorded drug-drug interactions of dofetilide with various contraindicated drugs, including bictegravir, cimetidine, ketoconazole, and verapamil. The translational significance of these observations was examined with a physiologically-based pharmacokinetic model that adequately predicted the drug-drug interaction liabilities in humans. These findings support the thesis that MATE1 serves a conserved cardioprotective role by restricting excessive cellular accumulation and warrant caution against the concurrent administration of potent MATE1 inhibitors and cardiotoxic substrates with a narrow therapeutic window.
Collapse
Affiliation(s)
- Muhammad Erfan Uddin
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA; (M.E.U.); (E.D.E.); (Y.L.); (K.M.H.); (D.A.G.); (Z.T.); (A.A.G.); (Y.J.); (M.N.); (Q.F.); (X.S.)
| | - Eric D. Eisenmann
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA; (M.E.U.); (E.D.E.); (Y.L.); (K.M.H.); (D.A.G.); (Z.T.); (A.A.G.); (Y.J.); (M.N.); (Q.F.); (X.S.)
| | - Yang Li
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA; (M.E.U.); (E.D.E.); (Y.L.); (K.M.H.); (D.A.G.); (Z.T.); (A.A.G.); (Y.J.); (M.N.); (Q.F.); (X.S.)
| | - Kevin M. Huang
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA; (M.E.U.); (E.D.E.); (Y.L.); (K.M.H.); (D.A.G.); (Z.T.); (A.A.G.); (Y.J.); (M.N.); (Q.F.); (X.S.)
| | - Dominique A. Garrison
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA; (M.E.U.); (E.D.E.); (Y.L.); (K.M.H.); (D.A.G.); (Z.T.); (A.A.G.); (Y.J.); (M.N.); (Q.F.); (X.S.)
| | - Zahra Talebi
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA; (M.E.U.); (E.D.E.); (Y.L.); (K.M.H.); (D.A.G.); (Z.T.); (A.A.G.); (Y.J.); (M.N.); (Q.F.); (X.S.)
| | - Alice A. Gibson
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA; (M.E.U.); (E.D.E.); (Y.L.); (K.M.H.); (D.A.G.); (Z.T.); (A.A.G.); (Y.J.); (M.N.); (Q.F.); (X.S.)
| | - Yan Jin
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA; (M.E.U.); (E.D.E.); (Y.L.); (K.M.H.); (D.A.G.); (Z.T.); (A.A.G.); (Y.J.); (M.N.); (Q.F.); (X.S.)
| | - Mahesh Nepal
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA; (M.E.U.); (E.D.E.); (Y.L.); (K.M.H.); (D.A.G.); (Z.T.); (A.A.G.); (Y.J.); (M.N.); (Q.F.); (X.S.)
| | - Ingrid M. Bonilla
- Department of Physiology and Cell Biology, College of Medicine, The Ohio State University, Columbus, OH 43210, USA;
| | - Qiang Fu
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA; (M.E.U.); (E.D.E.); (Y.L.); (K.M.H.); (D.A.G.); (Z.T.); (A.A.G.); (Y.J.); (M.N.); (Q.F.); (X.S.)
| | - Xinxin Sun
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA; (M.E.U.); (E.D.E.); (Y.L.); (K.M.H.); (D.A.G.); (Z.T.); (A.A.G.); (Y.J.); (M.N.); (Q.F.); (X.S.)
| | - Alec Millar
- Division of Outcomes and Translational Sciences, College of Pharmacy, The Ohio State University, Columbus, OH 43210, USA; (A.M.); (M.T.); (P.B.R.); (C.A.C.); (S.H.)
| | - Mikhail Tarasov
- Division of Outcomes and Translational Sciences, College of Pharmacy, The Ohio State University, Columbus, OH 43210, USA; (A.M.); (M.T.); (P.B.R.); (C.A.C.); (S.H.)
| | - Christopher E. Jay
- Department of Pharmaceutics, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, USA; (C.E.J.); (D.H.S.)
| | - Xiaoming Cui
- Novartis Institute for Biomedical Research, East Hanover, NJ 07936, USA; (X.C.); (H.J.E.); (R.M.P.)
| | - Heidi J. Einolf
- Novartis Institute for Biomedical Research, East Hanover, NJ 07936, USA; (X.C.); (H.J.E.); (R.M.P.)
| | - Ryan M. Pelis
- Novartis Institute for Biomedical Research, East Hanover, NJ 07936, USA; (X.C.); (H.J.E.); (R.M.P.)
| | - Sakima A. Smith
- OSU Wexner Medical Center, Department of Internal Medicine, Division of Cardiovascular Medicine, The Ohio State University, Columbus, OH 43210, USA;
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH 43210, USA
| | - Przemysław B. Radwański
- Division of Outcomes and Translational Sciences, College of Pharmacy, The Ohio State University, Columbus, OH 43210, USA; (A.M.); (M.T.); (P.B.R.); (C.A.C.); (S.H.)
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH 43210, USA
| | - Douglas H. Sweet
- Department of Pharmaceutics, School of Pharmacy, Virginia Commonwealth University, Richmond, VA 23298, USA; (C.E.J.); (D.H.S.)
| | - Jörg König
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany; (J.K.); (M.F.F.)
| | - Martin F. Fromm
- Institute of Experimental and Clinical Pharmacology and Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91054 Erlangen, Germany; (J.K.); (M.F.F.)
| | - Cynthia A. Carnes
- Division of Outcomes and Translational Sciences, College of Pharmacy, The Ohio State University, Columbus, OH 43210, USA; (A.M.); (M.T.); (P.B.R.); (C.A.C.); (S.H.)
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH 43210, USA
- Division of Pharmacy Practice and Science, College of Pharmacy, The Ohio State University, Columbus, OH 43210, USA
| | - Shuiying Hu
- Division of Outcomes and Translational Sciences, College of Pharmacy, The Ohio State University, Columbus, OH 43210, USA; (A.M.); (M.T.); (P.B.R.); (C.A.C.); (S.H.)
| | - Alex Sparreboom
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA; (M.E.U.); (E.D.E.); (Y.L.); (K.M.H.); (D.A.G.); (Z.T.); (A.A.G.); (Y.J.); (M.N.); (Q.F.); (X.S.)
| |
Collapse
|
4
|
Huang KM, Uddin ME, DiGiacomo D, Lustberg MB, Hu S, Sparreboom A. Role of SLC transporters in toxicity induced by anticancer drugs. Expert Opin Drug Metab Toxicol 2020; 16:493-506. [PMID: 32276560 DOI: 10.1080/17425255.2020.1755253] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
INTRODUCTION . Membrane transporters are integral to the maintenance of cellular integrity of all tissue and cell types. While transporters play an established role in the systemic pharmacokinetics of therapeutic drugs, tissue specific expression of uptake transporters can serve as an initiating mechanism that governs the accumulation and impact of cytotoxic drugs. AREAS COVERED . This review provides an overview of organic cation transporters as determinants of chemotherapy-induced toxicities. We also provide insights into the recently updated FDA guidelines for in vitro drug interaction studies, with a particular focus on the class of tyrosine kinase inhibitors as perpetrators of transporter-mediated drug interactions. EXPERT OPINION . Studies performed over the last few decades have highlighted the important role of basolateral uptake and apical efflux transporters in the pathophysiology of drug-induced organ damage. Increased understanding of the mechanisms that govern the accumulation of cytotoxic drugs has provided insights into the development of novel strategies to prevent debilitating toxicities. Furthermore, we argue that current regulatory guidelines provide inadequate recommendations for in vitro studies to identify substrates or inhibitors of drug transporters. Therefore, the translational and predictive power of FDA-approved drugs as modulators of transport function remains ambiguous and warrants further revision of the current guidelines.
Collapse
Affiliation(s)
- Kevin M Huang
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, the Ohio State University , Columbus, OH, USA
| | - Muhammad Erfan Uddin
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, the Ohio State University , Columbus, OH, USA
| | - Duncan DiGiacomo
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, the Ohio State University , Columbus, OH, USA
| | - Maryam B Lustberg
- Department of Medical Oncology, College of Medicine, the Ohio State University and Comprehensive Cancer Center , Columbus, OH, USA
| | - Shuiying Hu
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, the Ohio State University , Columbus, OH, USA
| | - Alex Sparreboom
- Division of Pharmaceutics and Pharmacology, College of Pharmacy and Comprehensive Cancer Center, the Ohio State University , Columbus, OH, USA
| |
Collapse
|
5
|
Liu X. Transporter-Mediated Drug-Drug Interactions and Their Significance. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1141:241-291. [PMID: 31571167 DOI: 10.1007/978-981-13-7647-4_5] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Drug transporters are considered to be determinants of drug disposition and effects/toxicities by affecting the absorption, distribution, and excretion of drugs. Drug transporters are generally divided into solute carrier (SLC) family and ATP binding cassette (ABC) family. Widely studied ABC family transporters include P-glycoprotein (P-GP), breast cancer resistance protein (BCRP), and multidrug resistance proteins (MRPs). SLC family transporters related to drug transport mainly include organic anion-transporting polypeptides (OATPs), organic anion transporters (OATs), organic cation transporters (OCTs), organic cation/carnitine transporters (OCTNs), peptide transporters (PEPTs), and multidrug/toxin extrusions (MATEs). These transporters are often expressed in tissues related to drug disposition, such as the small intestine, liver, and kidney, implicating intestinal absorption of drugs, uptake of drugs into hepatocytes, and renal/bile excretion of drugs. Most of therapeutic drugs are their substrates or inhibitors. When they are comedicated, serious drug-drug interactions (DDIs) may occur due to alterations in intestinal absorption, hepatic uptake, or renal/bile secretion of drugs, leading to enhancement of their activities or toxicities or therapeutic failure. This chapter will illustrate transporter-mediated DDIs (including food drug interaction) in human and their clinical significances.
Collapse
Affiliation(s)
- Xiaodong Liu
- China Pharmaceutical University, Nanjing, China.
| |
Collapse
|
6
|
Physiologically-Based Pharmacokinetic Modeling for Drug-Drug Interactions of Procainamide and N-Acetylprocainamide with Cimetidine, an Inhibitor of rOCT2 and rMATE1, in Rats. Pharmaceutics 2019; 11:pharmaceutics11030108. [PMID: 30845766 PMCID: PMC6470842 DOI: 10.3390/pharmaceutics11030108] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 03/01/2019] [Accepted: 03/03/2019] [Indexed: 01/11/2023] Open
Abstract
Previous observations demonstrated that cimetidine decreased the clearance of procainamide (PA) and/or N-acetylprocainamide (NAPA; the primary metabolite of PA) resulting in the increased systemic exposure and the decrease of urinary excretion. Despite an abundance of in vitro and in vivo data regarding pharmacokinetic interactions between PA/NAPA and cimetidine, however, a mechanistic approach to elucidate these interactions has not been reported yet. The primary objective of this study was to construct a physiological model that describes pharmacokinetic interactions between PA/NAPA and cimetidine, an inhibitor of rat organic cation transporter 2 (rOCT2) and rat multidrug and toxin extrusion proteins (rMATE1), by performing extensive in vivo and in vitro pharmacokinetic studies for PA and NAPA performed in the absence or presence of cimetidine in rats. When a single intravenous injection of PA HCl (10 mg/kg) was administered to rats, co-administration of cimetidine (100 mg/kg) significantly increased systemic exposure and decreased the systemic (CL) and renal (CLR) clearance of PA, and reduced its tissue distribution. Similarly, cimetidine significantly decreased the CLR of NAPA formed by the metabolism of PA and increased the AUC of NAPA. Considering that these drugs could share similar renal secretory pathways (e.g., via rOCT2 and rMATE1), a physiologically-based pharmacokinetic (PBPK) model incorporating semi-mechanistic kidney compartments was devised to predict drug-drug interactions (DDIs). Using our proposed PBPK model, DDIs between PA/NAPA and cimetidine were successfully predicted for the plasma concentrations and urinary excretion profiles of PA and NAPA observed in rats. Moreover, sensitivity analyses of the pharmacokinetics of PA and NAPA showed the inhibitory effects of cimetidine via rMATE1 were probably important for the renal elimination of PA and NAPA in rats. The proposed PBPK model may be useful for understanding the mechanisms of interactions between PA/NAPA and cimetidine in vivo.
Collapse
|
7
|
Roles of Renal Drug Transporter in Drug Disposition and Renal Toxicity. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1141:341-360. [PMID: 31571169 DOI: 10.1007/978-981-13-7647-4_7] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The kidney plays an important role in maintaining total body homeostasis and eliminating toxic xenobiotics and metabolites. Numerous drugs and their metabolites are ultimately eliminated in the urine. The reabsorption and secretion functions of the nephron are mediated by a variety of transporters located in the basolateral and luminal membranes of the tubular cells. In the past decade, many studies indicated that transporters play important roles in drug pharmacokinetics and demonstrated the impact of renal transporters on the disposition of drugs, drug-drug interactions, and nephrotoxicities. Here, we focus on several important renal transporters and their roles in drug elimination and disposition, drug-induced nephrotoxicities and potential clinical solutions.
Collapse
|
8
|
Lepist EI, Ray AS. Renal Transporter-Mediated Drug-Drug Interactions: Are They Clinically Relevant? J Clin Pharmacol 2017; 56 Suppl 7:S73-81. [PMID: 27385181 DOI: 10.1002/jcph.735] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2015] [Revised: 03/03/2016] [Accepted: 03/07/2016] [Indexed: 02/04/2023]
Abstract
The kidney, through the distinct processes of passive glomerular filtration and active tubular secretion, plays an important role in the elimination of numerous endobiotics (eg, hormones, metabolites), toxins, nutrients, and drugs. Renal transport pathways mediating active tubular secretion and reabsorption in the proximal tubule are complex, involving apical and basolateral transporters acting in concert. Detailed studies of the molecular mechanisms of net active tubular secretion have established the involvement of multiple transporters with overlapping substrate specificity mediating competing secretion and reabsorption pathways. Although drug interactions arising from inhibition of renal transporters are rare relative to other mechanisms, they can involve commonly administered drugs (eg, cimetidine, metformin), may be underappreciated due to muted effects on plasma pharmacokinetics relative to tissue levels, can affect narrow-therapeutic-index medications (eg, antiarrhythmic, oncology medications), and may disproportionately affect sensitive populations where polypharmacy is common (eg, the elderly, diabetics). In particular, there is the potential for larger-magnitude interactions in subjects with reduced glomerular filtration rates due to the increased relative contribution of tubular secretion. The assessment of additional endpoints in drug-drug interaction studies including pharmacodynamics, positron emission tomography imaging, and metabolomics promises to expand our understanding of the clinical relevance of renal drug interactions.
Collapse
Affiliation(s)
- Eve-Irene Lepist
- Department of Drug Metabolism, Gilead Sciences, Inc, Foster City, California
| | - Adrian S Ray
- Department of Drug Metabolism, Gilead Sciences, Inc, Foster City, California
| |
Collapse
|
9
|
Feng B, Varma MV. Evaluation and Quantitative Prediction of Renal Transporter-Mediated Drug-Drug Interactions. J Clin Pharmacol 2017; 56 Suppl 7:S110-21. [PMID: 27385169 DOI: 10.1002/jcph.702] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Revised: 12/18/2015] [Accepted: 12/28/2015] [Indexed: 12/22/2022]
Abstract
With numerous drugs cleared renally, inhibition of uptake transporters localized on the basolateral membrane of renal proximal tubule cells, eg, organic anion transporters (OATs) and organic cation transporters (OCTs), may lead to clinically meaningful drug-drug interactions (DDIs). Additionally, clinical evidence for the possible involvement of efflux transporters, such as P-glycoprotein (P-gp) and multidrug and toxin extrusion protein 1/2-K (MATE1/2-K), in the renal DDIs is emerging. Herein, we review recent progress regarding mechanistic understanding of transporter-mediated renal DDIs as well as the quantitative predictability of renal DDIs using static and physiologically based pharmacokinetic (PBPK) models. Generally, clinical DDI data suggest that the magnitude of plasma exposure changes attributable to renal DDIs is less than 2-fold, unlike the DDIs associated with inhibition of cytochrome P-450s and/or hepatic uptake transporters. It is concluded that although there is a need for risk assessment early in drug development, current available data imply that safety concerns related to the renal DDIs are generally low. Nevertheless, consideration must be given to the therapeutic index of the victim drug and potential risk in a specific patient population (eg, renal impairment). Finally, in vitro transporter data and clinical pharmacokinetic parameters obtained from the first-in-human studies have proven useful in support of quantitative prediction of DDIs associated with inhibition of renal secretory transporters, OATs or OCTs.
Collapse
Affiliation(s)
- Bo Feng
- Department of Pharmacokinetics, Dynamics, and Metabolism, Pfizer Global Research & Development, Groton, CT, USA
| | - Manthena V Varma
- Department of Pharmacokinetics, Dynamics, and Metabolism, Pfizer Global Research & Development, Groton, CT, USA
| |
Collapse
|
10
|
Abstract
Transporters in proximal renal tubules contribute to the disposition of numerous drugs. Furthermore, the molecular mechanisms of tubular secretion have been progressively elucidated during the past decades. Organic anions tend to be secreted by the transport proteins OAT1, OAT3 and OATP4C1 on the basolateral side of tubular cells, and multidrug resistance protein (MRP) 2, MRP4, OATP1A2 and breast cancer resistance protein (BCRP) on the apical side. Organic cations are secreted by organic cation transporter (OCT) 2 on the basolateral side, and multidrug and toxic compound extrusion (MATE) proteins MATE1, MATE2/2-K, P-glycoprotein, organic cation and carnitine transporter (OCTN) 1 and OCTN2 on the apical side. Significant drug-drug interactions (DDIs) may affect any of these transporters, altering the clearance and, consequently, the efficacy and/or toxicity of substrate drugs. Interactions at the level of basolateral transporters typically decrease the clearance of the victim drug, causing higher systemic exposure. Interactions at the apical level can also lower drug clearance, but may be associated with higher renal toxicity, due to intracellular accumulation. Whereas the importance of glomerular filtration in drug disposition is largely appreciated among clinicians, DDIs involving renal transporters are less well recognized. This review summarizes current knowledge on the roles, quantitative importance and clinical relevance of these transporters in drug therapy. It proposes an approach based on substrate-inhibitor associations for predicting potential tubular-based DDIs and preventing their adverse consequences. We provide a comprehensive list of known drug interactions with renally-expressed transporters. While many of these interactions have limited clinical consequences, some involving high-risk drugs (e.g. methotrexate) definitely deserve the attention of prescribers.
Collapse
Affiliation(s)
- Anton Ivanyuk
- Division of Clinical Pharmacology, Lausanne University Hospital (CHUV), Bugnon 17, 1011, Lausanne, Switzerland.
| | - Françoise Livio
- Division of Clinical Pharmacology, Lausanne University Hospital (CHUV), Bugnon 17, 1011, Lausanne, Switzerland
| | - Jérôme Biollaz
- Division of Clinical Pharmacology, Lausanne University Hospital (CHUV), Bugnon 17, 1011, Lausanne, Switzerland
| | - Thierry Buclin
- Division of Clinical Pharmacology, Lausanne University Hospital (CHUV), Bugnon 17, 1011, Lausanne, Switzerland
| |
Collapse
|
11
|
Lee SC, Arya V, Yang X, Volpe DA, Zhang L. Evaluation of transporters in drug development: Current status and contemporary issues. Adv Drug Deliv Rev 2017; 116:100-118. [PMID: 28760687 DOI: 10.1016/j.addr.2017.07.020] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2017] [Revised: 07/19/2017] [Accepted: 07/26/2017] [Indexed: 01/22/2023]
Abstract
Transporters govern the access of molecules to cells or their exit from cells, thereby controlling the overall distribution of drugs to their intracellular site of action. Clinically relevant drug-drug interactions mediated by transporters are of increasing interest in drug development. Drug transporters, acting alone or in concert with drug metabolizing enzymes, can play an important role in modulating drug absorption, distribution, metabolism and excretion, thus affecting the pharmacokinetics and/or pharmacodynamics of a drug. The drug interaction guidance documents from regulatory agencies include various decision criteria that may be used to predict the need for in vivo assessment of transporter-mediated drug-drug interactions. Regulatory science research continues to assess the prediction performances of various criteria as well as to examine the strength and limitations of each prediction criterion to foster discussions related to harmonized decision criteria that may be used to facilitate global drug development. This review discusses the role of transporters in drug development with a focus on methodologies in assessing transporter-mediated drug-drug interactions, challenges in both in vitro and in vivo assessments of transporters, and emerging transporter research areas including biomarkers, assessment of tissue concentrations, and effect of diseases on transporters.
Collapse
Affiliation(s)
- Sue-Chih Lee
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Vikram Arya
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Xinning Yang
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Donna A Volpe
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA
| | - Lei Zhang
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, USA.
| |
Collapse
|
12
|
The Effect of Nizatidine, a MATE2K Selective Inhibitor, on the Pharmacokinetics and Pharmacodynamics of Metformin in Healthy Volunteers. Clin Pharmacokinet 2016; 55:495-506. [PMID: 26507723 DOI: 10.1007/s40262-015-0332-9] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
BACKGROUND AND OBJECTIVES In the proximal tubule, basic drugs are transported from the renal cells to the tubule lumen through the concerted action of the H(+)/organic cation antiporters, multidrug and toxin extrusion (MATE) 1 and MATE2K. Dual inhibitors of the MATE transporters have been shown to have a clinically relevant effect on the pharmacokinetics of concomitantly administered basic drugs. However, the clinical impact of selective renal organic cation transport inhibition on the pharmacokinetics and pharmacodynamics of basic drugs, such as metformin, is unknown. This study sought to identify a selective MATE2K inhibitor in vitro and to determine its clinical impact on the pharmacokinetics and pharmacodynamics of metformin in healthy subjects. METHODS Strategic cell-based screening of 71 US Food and Drug Administration (FDA)-approved medications was conducted to identify selective inhibitors of renal organic cation transporters that are capable of inhibiting at clinically relevant concentrations. From this screen, nizatidine was identified and predicted to be a clinically potent and selective inhibitor of MATE2K-mediated transport. The effect of nizatidine on the pharmacokinetics and pharmacodynamics of metformin was evaluated in 12 healthy volunteers in an open-label, randomized, two-phase crossover drug-drug interaction (DDI) study. RESULTS In healthy volunteers, the MATE2K-selective inhibitor nizatidine significantly increased the apparent volume of distribution, half-life, and hypoglycemic activity of metformin. However, despite achieving unbound maximum concentrations greater than the in vitro inhibition potency (concentration of drug producing 50% inhibition [IC50]) of MATE2K-mediated transport, nizatidine did not affect the renal clearance (CLR) or net secretory clearance of metformin. CONCLUSION This study demonstrates that a selective inhibition of MATE2K by nizatidine affected the apparent volume of distribution, tissue concentrations, and peripheral effects of metformin. However, nizatidine did not alter systemic concentrations or the CLR of metformin, suggesting that specific MATE2K inhibition may not be sufficient to cause renal DDIs with metformin.
Collapse
|
13
|
Gotta V, Yu Z, Cools F, van Ammel K, Gallacher DJ, Visser SAG, Sannajust F, Morissette P, Danhof M, van der Graaf PH. Application of a systems pharmacology model for translational prediction of hERG-mediated QTc prolongation. Pharmacol Res Perspect 2016; 4:e00270. [PMID: 28097003 PMCID: PMC5226282 DOI: 10.1002/prp2.270] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 09/14/2016] [Indexed: 02/06/2023] Open
Abstract
Drug‐induced QTc interval prolongation (ΔQTc) is a main surrogate for proarrhythmic risk assessment. A higher in vivo than in vitro potency for hERG‐mediated QTc prolongation has been suggested. Also, in vivo between‐species and patient populations’ sensitivity to drug‐induced QTc prolongation seems to differ. Here, a systems pharmacology model integrating preclinical in vitro (hERG binding) and in vivo (conscious dog ΔQTc) data of three hERG blockers (dofetilide, sotalol, moxifloxacin) was applied (1) to compare the operational efficacy of the three drugs in vivo and (2) to quantify dog–human differences in sensitivity to drug‐induced QTc prolongation (for dofetilide only). Scaling parameters for translational in vivo extrapolation of drug effects were derived based on the assumption of system‐specific myocardial ion channel densities and transduction of ion channel block: the operational efficacy (transduction of hERG block) in dogs was drug specific (1–19% hERG block corresponded to ≥10 msec ΔQTc). System‐specific maximal achievable ΔQTc was estimated to 28% from baseline in both dog and human, while %hERG block leading to half‐maximal effects was 58% lower in human, suggesting a higher contribution of hERG‐mediated potassium current to cardiac repolarization. These results suggest that differences in sensitivity to drug‐induced QTc prolongation may be well explained by drug‐ and system‐specific differences in operational efficacy (transduction of hERG block), consistent with experimental reports. The proposed scaling approach may thus assist the translational risk assessment of QTc prolongation in different species and patient populations, if mediated by the hERG channel.
Collapse
Affiliation(s)
- Verena Gotta
- Systems Pharmacology Leiden Academic Centre for Drug Research (LACDR) Leiden University Leiden The Netherlands; Pediatric Pharmacology and Pharmacometrics University of Basel Children's Hospital (UKBB) Basel Switzerland
| | - Zhiyi Yu
- Division of Medicinal Chemistry Leiden Academic Centre for Drug Research (LACDR) Leiden University Leiden The Netherlands
| | - Frank Cools
- Global Safety Pharmacology Janssen Research & Development Janssen Pharmaceutica NV Beerse Belgium
| | - Karel van Ammel
- Global Safety Pharmacology Janssen Research & Development Janssen Pharmaceutica NV Beerse Belgium
| | - David J Gallacher
- Global Safety Pharmacology Janssen Research & Development Janssen Pharmaceutica NV Beerse Belgium
| | - Sandra A G Visser
- Quantitative Pharmacology and Pharmacometrics/Merck Research Laboratories Merck & Co., Inc. Upper Gwynedd Pennsylvania
| | - Frederick Sannajust
- SALAR-Safety and Exploratory Pharmacology Department/Merck Research Laboratories Merck & Co., Inc. West Point Pennsylvania
| | - Pierre Morissette
- SALAR-Safety and Exploratory Pharmacology Department/Merck Research Laboratories Merck & Co., Inc. West Point Pennsylvania
| | - Meindert Danhof
- Systems Pharmacology Leiden Academic Centre for Drug Research (LACDR) Leiden University Leiden The Netherlands
| | - Piet H van der Graaf
- Systems Pharmacology Leiden Academic Centre for Drug Research (LACDR) Leiden University Leiden The Netherlands; Certara Quantitative Systems Pharmacology Canterbury United Kingdom
| |
Collapse
|
14
|
Structure and function of multidrug and toxin extrusion proteins (MATEs) and their relevance to drug therapy and personalized medicine. Arch Toxicol 2016; 90:1555-84. [PMID: 27165417 DOI: 10.1007/s00204-016-1728-5] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2016] [Accepted: 04/27/2016] [Indexed: 12/15/2022]
Abstract
Multidrug and toxin extrusion (MATE; SLC47A) proteins are membrane transporters mediating the excretion of organic cations and zwitterions into bile and urine and thereby contributing to the hepatic and renal elimination of many xenobiotics. Transported substrates include creatinine as endogenous substrate, the vitamin thiamine and a number of drug agents with in part chemically different structures such as the antidiabetic metformin, the antiviral agents acyclovir and ganciclovir as well as the antibiotics cephalexin and cephradine. This review summarizes current knowledge on the structural and molecular features of human MATE transporters including data on expression and localization in different tissues, important aspects on regulation and their functional role in drug transport. The role of genetic variation of MATE proteins for drug pharmacokinetics and drug response will be discussed with consequences for personalized medicine.
Collapse
|
15
|
Stage TB, Brøsen K, Christensen MMH. A Comprehensive Review of Drug-Drug Interactions with Metformin. Clin Pharmacokinet 2016; 54:811-24. [PMID: 25943187 DOI: 10.1007/s40262-015-0270-6] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Metformin is the world's most commonly used oral glucose-lowering drug for type 2 diabetes, and this is mainly because it protects against diabetes-related mortality and all-cause mortality. Although it is an old drug, its mechanism of action has not yet been clarified and its pharmacokinetic pathway is still not fully understood. There is considerable inter-individual variability in the response to metformin, and this has led to many drug-drug interaction (DDI) studies of metformin. In this review, we describe both in vitro and human interaction studies of metformin both as a victim and as a perpetrator. We also clarify the importance of including pharmacodynamic end points in DDI studies of metformin and taking pharmacogenetic variation into account when performing these studies to avoid hidden pitfalls in the interpretation of DDIs with metformin. This evaluation of the literature has revealed holes in our knowledge and given clues as to where future DDI studies should be focused and performed.
Collapse
Affiliation(s)
- Tore Bjerregaard Stage
- Clinical Pharmacology, Department of Public Health, University of Southern Denmark, J.B. Winsloews vej 19, 2nd Floor, 5000, Odense, Denmark,
| | | | | |
Collapse
|
16
|
Li X, Sun X, Chen J, Lu Y, Zhang Y, Wang C, Li J, Zhang Q, Zhao D, Chen X. Investigation of the role of organic cation transporter 2 (OCT2) in the renal transport of guanfacine, a selective α2A-adrenoreceptor agonist. Xenobiotica 2014; 45:88-94. [DOI: 10.3109/00498254.2014.949904] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
|
17
|
Feng B, Varma MV, Costales C, Zhang H, Tremaine L. In vitroandin vivoapproaches to characterize transporter-mediated disposition in drug discovery. Expert Opin Drug Discov 2014; 9:873-90. [DOI: 10.1517/17460441.2014.922540] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
|
18
|
Feng B, Hurst S, Lu Y, Varma MV, Rotter CJ, El-Kattan A, Lockwood P, Corrigan B. Quantitative Prediction of Renal Transporter-Mediated Clinical Drug–Drug Interactions. Mol Pharm 2013; 10:4207-15. [DOI: 10.1021/mp400295c] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Bo Feng
- Department of Pharmacokinetics and Drug Metabolism, Pfizer Global Research & Development, Groton, Connecticut 06340, United States
| | - Susan Hurst
- Department of Pharmacokinetics and Drug Metabolism, Pfizer Global Research & Development, Groton, Connecticut 06340, United States
| | - Yasong Lu
- CV/Met Pharmacometrics, Department of Exploratory Clinical & Translational Research, Bristol-Myers Squibb, Lawrenceville, New Jersey 08540, United States
| | - Manthena V. Varma
- Department of Pharmacokinetics and Drug Metabolism, Pfizer Global Research & Development, Groton, Connecticut 06340, United States
| | - Charles J. Rotter
- Department of Pharmacokinetics and Drug Metabolism, Pfizer Global Research & Development, Groton, Connecticut 06340, United States
| | - Ayman El-Kattan
- Department of Pharmacokinetics and Drug Metabolism, Pfizer Global Research & Development, Groton, Connecticut 06340, United States
| | - Peter Lockwood
- Department of Clinical Pharmacology, Pfizer Global Research & Development, Groton, Connecticut 06340, United States
| | - Brian Corrigan
- Department of Clinical Pharmacology, Pfizer Global Research & Development, Groton, Connecticut 06340, United States
| |
Collapse
|
19
|
König J, Müller F, Fromm MF. Transporters and drug-drug interactions: important determinants of drug disposition and effects. Pharmacol Rev 2013; 65:944-66. [PMID: 23686349 DOI: 10.1124/pr.113.007518] [Citation(s) in RCA: 385] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Uptake and efflux transporters determine plasma and tissue concentrations of a broad variety of drugs. They are localized in organs such as small intestine, liver, and kidney, which are critical for drug absorption and elimination. Moreover, they can be found in important blood-tissue barriers such as the blood-brain barrier. Inhibition or induction of drug transporters by coadministered drugs can alter pharmacokinetics and pharmacodynamics of the victim drugs. This review will summarize in particular clinically observed drug-drug interactions attributable to inhibition or induction of intestinal export transporters [P-glycoprotein (P-gp), breast cancer resistance protein (BCRP)], to inhibition of hepatic uptake transporters [organic anion transporting polypeptides (OATPs)], or to inhibition of transporter-mediated [organic anion transporters (OATs), organic cation transporter 2 (OCT2), multidrug and toxin extrusion proteins (MATEs), P-gp] renal secretion of xenobiotics. Available data on the impact of nutrition on transport processes as well as genotype-dependent, transporter-mediated drug-drug interactions will be discussed. We will also present and discuss data on the variable extent to which information on the impact of transporters on drug disposition is included in summaries of product characteristics of selected countries (SPCs). Further work is required regarding a better understanding of the role of the drug metabolism-drug transport interplay for drug-drug interactions and on the extrapolation of in vitro findings to the in vivo (human) situation.
Collapse
Affiliation(s)
- Jörg König
- Institute of Experimental and Clinical Pharmacology and Toxicology, Clinical Pharmacology and Clinical Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
| | | | | |
Collapse
|
20
|
Emerging transporters of clinical importance: an update from the International Transporter Consortium. Clin Pharmacol Ther 2013; 94:52-63. [PMID: 23588305 DOI: 10.1038/clpt.2013.74] [Citation(s) in RCA: 256] [Impact Index Per Article: 23.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The International Transporter Consortium (ITC) has recently described seven transporters of particular relevance to drug development. Based on the second ITC transporter workshop in 2012, we have identified additional transporters of emerging importance in pharmacokinetics, interference of drugs with transport of endogenous compounds, and drug-drug interactions (DDIs) in humans. The multidrug and toxin extrusion proteins (MATEs, gene symbol SLC47A) mediate excretion of organic cations into bile and urine. MATEs are important in renal DDIs. Multidrug resistance proteins (MRPs or ABCCs) are drug and conjugate efflux pumps, and impaired activity of MRP2 results in conjugated hyperbilirubinemia. The bile salt export pump (BSEP or ABCB11) prevents accumulation of toxic bile salt concentrations in hepatocytes, and BSEP inhibition or deficiency may cause cholestasis and liver injury. In addition, examples are presented on the roles of nucleoside and peptide transporters in drug targeting and disposition.
Collapse
|
21
|
Parkinson J, Visser SAG, Jarvis P, Pollard C, Valentin JP, Yates JWT, Ewart L. Translational pharmacokinetic-pharmacodynamic modeling of QTc effects in dog and human. J Pharmacol Toxicol Methods 2013; 68:357-66. [PMID: 23567074 DOI: 10.1016/j.vascn.2013.03.007] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2012] [Revised: 01/25/2013] [Accepted: 03/25/2013] [Indexed: 02/03/2023]
Abstract
INTRODUCTION Preclinical assessment of the heart rate corrected QT interval (QTc) is an important component of the cardiovascular safety evaluation in drug discovery. Here we aimed to quantify the translational relationship between QTc prolongation and shortening in the conscious telemetered dog and humans by a retrospective pharmacokinetic-pharmacodynamic (PKPD) analysis. METHODS QTc effects of 2 proprietary compounds and 2 reference drugs (moxifloxacin and dofetilide) were quantified in conscious dogs and healthy volunteers via a linear and Emax pharmacokinetic-pharmacodynamic models. The translational relationship was quantified by correlating the QTc response from dog and human at matching free drug concentrations. RESULTS A consistent translational relationship was found at low delta-QTc intervals indicating that a QTc change of 2.5-8 ms in dog would correspond to a 10 ms change in human. DISCUSSION The translational relationship developed here can be used to predict the QTc liability in human using preclinical dog data. It could therefore help protect the health of human volunteers, for example by appropriate clinical study design and dose selection, as well as improve future decision-making and help reduce compound attrition due to changes in QT interval.
Collapse
Affiliation(s)
- Joanna Parkinson
- AstraZeneca R&D, Safety Pharmacology, Alderley Park, UK; AstraZeneca R&D, Computational Toxicology, Safety Assessment, Mölndal, Sweden.
| | | | | | | | | | | | | |
Collapse
|
22
|
Neuhoff S, Gaohua L, Burt H, Jamei M, Li L, Tucker GT, Rostami-Hodjegan A. Accounting for Transporters in Renal Clearance: Towards a Mechanistic Kidney Model (Mech KiM). TRANSPORTERS IN DRUG DEVELOPMENT 2013. [DOI: 10.1007/978-1-4614-8229-1_7] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
|
23
|
The Role of Transporters in Drug Development: Regulatory Science Perspectives from the FDA. TRANSPORTERS IN DRUG DEVELOPMENT 2013. [DOI: 10.1007/978-1-4614-8229-1_11] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
|
24
|
In Vivo Characterization of Interactions on Transporters. TRANSPORTERS IN DRUG DEVELOPMENT 2013. [DOI: 10.1007/978-1-4614-8229-1_4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
|
25
|
Effect of cobicistat on glomerular filtration rate in subjects with normal and impaired renal function. J Acquir Immune Defic Syndr 2012; 61:32-40. [PMID: 22732469 DOI: 10.1097/qai.0b013e3182645648] [Citation(s) in RCA: 126] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE This study evaluated the effect of cobicistat (COBI) on glomerular filtration rate in subjects with normal renal function (RF) or with mild/moderate renal impairment, by comparing creatinine clearance [estimated glomerular filtration rate (eGFR)] with actual GFR (aGFR) using iohexol, a probe drug excreted by glomerular filtration. COBI is a potent CYP3A inhibitor (pharmacoenhancer) currently in phase 3 testing with elvitegravir, atazanavir, and darunavir. METHODS Normal RF subjects received COBI 150 mg QD, ritonavir (RTV) 100 mg QD, or placebo for 7 days; subjects with mild/moderate renal impairment received COBI 150 mg QD. The eGFR and aGFR were measured on days 0, 7, and 14 and within-subject changes calculated relative to day 0. COBI and RTV pharmacokinetics were analyzed on day 7. RESULTS All 36 subjects in cohort 1 and 17 of 18 subjects in cohort 2 completed all study treatments. Study treatments were well tolerated. Small increases in serum creatinine with corresponding mean decreases in eGFR (∼10 mL/min or mL/min per 1.73 m) were observed on day 7 relative to day 0 in subjects receiving COBI (P < 0.05). The decreases were reversible on COBI discontinuation; mean eGFR values returned to baseline on day 14 (P > 0.05). No statistically significant changes in aGFR on days 7 or 14 relative to day 0 were seen with COBI (P > 0.05). No statistically significant decreases in aGFR or eGFR were observed with RTV or placebo. CONCLUSIONS COBI affects eGFR but not the actual GFR. The time to onset, magnitude, and time to resolution of changes in eGFR are consistent with altered proximal tubular secretion of creatinine through inhibition of drug transporters.
Collapse
|
26
|
Lee HC, Tl Huang K, Shen WK. Use of antiarrhythmic drugs in elderly patients. J Geriatr Cardiol 2012; 8:184-94. [PMID: 22783304 PMCID: PMC3390066 DOI: 10.3724/sp.j.1263.2011.00184] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Revised: 08/20/2011] [Accepted: 08/27/2011] [Indexed: 12/19/2022] Open
Abstract
Human aging is a global issue with important implications for current and future incidence and prevalence of health conditions and disability. Cardiac arrhythmias, including atrial fibrillation, sudden cardiac death, and bradycardia requiring pacemaker placement, all increase exponentially after the age of 60. It is important to distinguish between the normal, physiological consequences of aging on cardiac electrophysiology and the abnormal, pathological alterations. The age-related cardiac changes include ventricular hypertrophy, senile amyloidosis, cardiac valvular degenerative changes and annular calcification, fibrous infiltration of the conduction system, and loss of natural pacemaker cells and these changes could have a profound effect on the development of arrhythmias. The age-related cardiac electrophysiological changes include up- and down-regulation of specific ion channel expression and intracellular Ca(2+) overload which promote the development of cardiac arrhythmias. As ion channels are the substrates of antiarrhythmic drugs, it follows that the pharmacokinetics and pharmacodynamics of these drugs will also change with age. Aging alters the absorption, distribution, metabolism, and elimination of antiarrhythmic drugs, so liver and kidney function must be monitored to avoid potential adverse drug effects, and antiarrhythmic dosing may need to be adjusted for age. Elderly patients are also more susceptible to the side effects of many antiarrhythmics, including bradycardia, orthostatic hypotension, urinary retention, and falls. Moreover, the choice of antiarrhythmic drugs in the elderly patient is frequently complicated by the presence of co-morbid conditions and by polypharmacy, and the astute physician must pay careful attention to potential drug-drug interactions. Finally, it is important to remember that the use of antiarrhythmic drugs in elderly patients must be individualized and tailored to each patient's physiology, disease processes, and medication regimen.
Collapse
Affiliation(s)
- Hon-Chi Lee
- Division of Cardiovascular Diseases, Department of Internal Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA
| | | | | |
Collapse
|
27
|
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]
|
28
|
Abstract
Drug-drug interactions are a serious clinical issue. An important mechanism underlying drug-drug interactions is induction or inhibition of drug transporters that mediate the cellular uptake and efflux of xenobiotics. Especially drug transporters of the small intestine, liver and kidney are major determinants of the pharmacokinetic profile of drugs. Transporter-mediated drug-drug interactions in these three organs can considerably influence the pharmacokinetics and clinical effects of drugs. In this article, we focus on probe drugs lacking significant metabolism to highlight mechanisms of interactions of selected intestinal, hepatic and renal drug transporters (e.g., organic anion transporting polypeptide [OATP] 1A2, OATP2B1, OATP1B1, OATP1B3, P-gp, organic anion transporter [OAT] 1, OAT3, breast cancer resistance protein [BCRP], organic cation transporter [OCT] 2 and multidrug and toxin extrusion protein [MATE] 1). Genotype-dependent drug-drug interactions are also discussed.
Collapse
Affiliation(s)
- Fabian Müller
- Institute of Experimental & Clinical Pharmacology & Toxicology, Friedrich-Alexander-Universität Erlangen-Nürnberg, Fahrstrasse 17, 91054 Erlangen, Germany
| | | |
Collapse
|
29
|
Ito S, Kusuhara H, Yokochi M, Toyoshima J, Inoue K, Yuasa H, Sugiyama Y. Competitive inhibition of the luminal efflux by multidrug and toxin extrusions, but not basolateral uptake by organic cation transporter 2, is the likely mechanism underlying the pharmacokinetic drug-drug interactions caused by cimetidine in the kidney. J Pharmacol Exp Ther 2011; 340:393-403. [PMID: 22072731 DOI: 10.1124/jpet.111.184986] [Citation(s) in RCA: 154] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Cimetidine, an H₂ receptor antagonist, has been used to investigate the tubular secretion of organic cations in human kidney. We report a systematic comprehensive analysis of the inhibition potency of cimetidine for the influx and efflux transporters of organic cations [human organic cation transporter 1 (hOCT1) and hOCT2 and human multidrug and toxin extrusion 1 (hMATE1) and hMATE2-K, respectively]. Inhibition constants (K(i)) of cimetidine were determined by using five substrates [tetraethylammonium (TEA), metformin, 1-methyl-4-phenylpyridinium, 4-(4-(dimethylamino)styryl)-N-methylpyridinium, and m-iodobenzylguanidine]. They were 95 to 146 μM for hOCT2, providing at most 10% inhibition based on its clinically reported plasma unbound concentrations (3.6-7.8 μM). In contrast, cimetidine is a potent inhibitor of MATE1 and MATE2-K with K(i) values (μM) of 1.1 to 3.8 and 2.1 to 6.9, respectively. The same tendency was observed for mouse Oct1 (mOct1), mOct2, and mouse Mate1. Cimetidine showed a negligible effect on the uptake of metformin by mouse kidney slices at 20 μM. Cimetidine was administered to mice by a constant infusion to achieve a plasma unbound concentration of 21.6 μM to examine its effect on the renal disposition of Mate1 probes (metformin, TEA, and cephalexin) in vivo. The kidney- and liver-to-plasma ratios of metformin both were increased 2.4-fold by cimetidine, whereas the renal clearance was not changed. Cimetidine also increased the kidney-to-plasma ratio of TEA and cephalexin 8.0- and 3.3-fold compared with a control and decreased the renal clearance from 49 to 23 and 11 to 6.6 ml/min/kg, respectively. These results suggest that the inhibition of MATEs, but not OCT2, is a likely mechanism underlying the drug-drug interactions with cimetidine in renal elimination.
Collapse
Affiliation(s)
- Sumito Ito
- Laboratory of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, University of Tokyo, Hongo, Bunkyo-ku, Tokyo, Japan
| | | | | | | | | | | | | |
Collapse
|
30
|
Kido Y, Matsson P, Giacomini KM. Profiling of a prescription drug library for potential renal drug-drug interactions mediated by the organic cation transporter 2. J Med Chem 2011; 54:4548-58. [PMID: 21599003 DOI: 10.1021/jm2001629] [Citation(s) in RCA: 116] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Drug-drug interactions (DDIs) are major causes of serious adverse drug reactions. Most DDIs have a pharmacokinetic basis in which one drug reduces the elimination of a second drug, leading to potentially toxic drug levels. As a major organ of drug elimination, the kidney represents an important site for DDIs. Here, we screened a prescription drug library against the renal organic cation transporter OCT2/SLC22A2, which mediates the first step in the renal secretion of many cationic drugs. Of the 910 compounds screened, 244 inhibited OCT2. Computational analyses revealed key properties of inhibitors versus noninhibitors, which included overall molecular charge. Four of six potential clinical inhibitors were transporter-selective in follow-up screens against additional transporters: OCT1/SLC22A1, MATE1/SLC47A1, and MATE2-K/SLC47A2. Two compounds showed different kinetics of interaction with the common polymorphism OCT2-A270S, suggesting a role of genetics in modulating renal DDIs.
Collapse
Affiliation(s)
- Yasuto Kido
- Department of Bioengineering and Therapeutic Sciences, University of California-San Francisco, San Francisco, California 94143, United States
| | | | | |
Collapse
|
31
|
Nies AT, Koepsell H, Damme K, Schwab M. Organic cation transporters (OCTs, MATEs), in vitro and in vivo evidence for the importance in drug therapy. Handb Exp Pharmacol 2011:105-67. [PMID: 21103969 DOI: 10.1007/978-3-642-14541-4_3] [Citation(s) in RCA: 267] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Organic cation transporters (OCTs) of the solute carrier family (SLC) 22 and multidrug and toxin extrusion (MATE) transporters of the SLC47 family have been identified as uptake and efflux transporters, respectively, for xenobiotics including several clinically used drugs such as the antidiabetic agent metformin, the antiviral agent lamivudine, and the anticancer drug oxaliplatin. Expression of human OCT1 (SLC22A1) and OCT2 (SLC22A2) is highly restricted to the liver and kidney, respectively. By contrast, OCT3 (SLC22A3) is more widely distributed. MATEs (SLC47A1, SLC47A2) are predominantly expressed in human kidney. Data on in vitro studies reporting a large number of substrates and inhibitors of OCTs and MATEs are systematically summarized. Several genetic variants of human OCTs and in part of MATE1 have been reported, and some of them result in reduced in vitro transport activity corroborating data from studies with knockout mice. A comprehensive overview is given on currently known genotype-phenotype correlations for variants in OCTs and MATE1 related to protein expression, pharmacokinetics/-dynamics of transporter substrates, treatment outcome, and disease susceptibility.
Collapse
Affiliation(s)
- Anne T Nies
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany.
| | | | | | | |
Collapse
|
32
|
Faessel HM, Obach RS, Rollema H, Ravva P, Williams KE, Burstein AH. A Review of the Clinical Pharmacokinetics and Pharmacodynamics of Varenicline for Smoking Cessation. Clin Pharmacokinet 2010; 49:799-816. [PMID: 21053991 DOI: 10.2165/11537850-000000000-00000] [Citation(s) in RCA: 83] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Affiliation(s)
- Hélène M Faessel
- Clinical Pharmacology, Primary Care Unit, Pfizer Inc., New London, Connecticut 06320, USA.
| | | | | | | | | | | |
Collapse
|
33
|
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
|
34
|
Abstract
Membrane transporters can be major determinants of the pharmacokinetic, safety and efficacy profiles of drugs. This presents several key questions for drug development, including which transporters are clinically important in drug absorption and disposition, and which in vitro methods are suitable for studying drug interactions with these transporters. In addition, what criteria should trigger follow-up clinical studies, and which clinical studies should be conducted if needed. In this article, we provide the recommendations of the International Transporter Consortium on these issues, and present decision trees that are intended to help guide clinical studies on the currently recognized most important drug transporter interactions. The recommendations are generally intended to support clinical development and filing of a new drug application. Overall, it is advised that the timing of transporter investigations should be driven by efficacy, safety and clinical trial enrolment questions (for example, exclusion and inclusion criteria), as well as a need for further understanding of the absorption, distribution, metabolism and excretion properties of the drug molecule, and information required for drug labelling.
Collapse
|
35
|
Matsushima S, Maeda K, Inoue K, Ohta KY, Yuasa H, Kondo T, Nakayama H, Horita S, Kusuhara H, Sugiyama Y. The inhibition of human multidrug and toxin extrusion 1 is involved in the drug-drug interaction caused by cimetidine. Drug Metab Dispos 2008; 37:555-9. [PMID: 19074525 DOI: 10.1124/dmd.108.023911] [Citation(s) in RCA: 90] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Cimetidine is known to cause drug-drug interactions (DDIs) with organic cations in the kidney, and a previous clinical study showed that coadministration of cimetidine or probenecid with fexofenadine (FEX) decreased its renal clearance. FEX was taken up into human kidney by human organic anion transporter (hOAT) 3 (SLC22A8), but the mechanism of its luminal efflux has not been clarified. The present study examined the molecular mechanism of these DDIs. Saturable uptake of FEX was observed in human kidney slices, with K(m) and V(max) values of 157+/-7 microM and 418+/-16 nmol/15 min/g kidney, respectively. Cimetidine only slightly inhibited its uptake even at 100 microM, far greater than its clinically relevant concentration, whereas 10 microM probenecid markedly inhibited its uptake. As candidate transporters for the luminal efflux of FEX, we focused on human multidrug and toxin extrusions MATE1 (SLC47A1) and MATE2-K (SLC47A2). Saturable uptake of FEX could be observed in human embryonic kidney 293 cells expressing human MATE1 (hMATE1), whereas hMATE2-K-specific uptake of FEX was too small to conduct its further kinetic analysis. The hMATE1-mediated uptake clearance of FEX was inhibited by cimetidine in a concentration-dependent manner, and it was decreased to 60% of the control value in the presence of 3 microM cimetidine. Taken together, our results suggest that the DDI of FEX with probenecid can be explained by the inhibition of renal uptake mediated by hOAT3, whereas the DDI with cimetidine is mainly caused by the inhibition of hMATE1-mediated efflux of FEX rather than the inhibition of its renal uptake process.
Collapse
Affiliation(s)
- Soichiro Matsushima
- Department of Molecular Pharmacokinetics, Graduate School of Pharmaceutical Sciences, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan
| | | | | | | | | | | | | | | | | | | |
Collapse
|
36
|
The use of clinical irrelevance criteria in covariate model building with application to dofetilide pharmacokinetic data. J Pharmacokinet Pharmacodyn 2008; 35:503-26. [DOI: 10.1007/s10928-008-9099-z] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2007] [Accepted: 10/02/2008] [Indexed: 10/21/2022]
|
37
|
Ayrton A, Morgan P. Role of transport proteins in drug discovery and development: a pharmaceutical perspective. Xenobiotica 2008; 38:676-708. [DOI: 10.1080/00498250801923855] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
|
38
|
Haushalter TM, Friedrichs GS, Reynolds DL, Barecki-Roach M, Pastino G, Hayes R, Bass AS. The cardiovascular and pharmacokinetic profile of dofetilide in conscious telemetered beagle dogs and cynomolgus monkeys. Br J Pharmacol 2008; 154:1457-64. [PMID: 18604237 PMCID: PMC2492096 DOI: 10.1038/bjp.2008.275] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2008] [Accepted: 06/03/2008] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND AND PURPOSE The effects of dofetilide were studied in monkeys and dogs. Pharmacokinetic data were generated together with the monitoring of cardiovascular changes in order to compare effects relative to human exposure. EXPERIMENTAL APPROACH Beagle dogs and cynomolgus monkeys were telemetered to collect arterial blood pressure, heart rate and ECG for 6 h after selected oral doses of dofetilide. Pharmacokinetic parameters were determined for each dose. KEY RESULTS Dogs: increases in the QT(c) interval reached 56 ms in dogs dosed with 0.3 mg kg(-1) of dofetilide. Premature ventricular contractions and right bundle branch block were evident at this dose, without changes in cardiovascular parameters. The mean C(max) values were 3.35 and 60.15 ng mL(-1) at doses of 0.03 and 0.3 mg kg(-1), respectively. Monkeys: increases in QT(c) intervals reached 40-50 ms after 0.03 mg kg(-1). T-wave changes were observed after 0.03 mg kg(-1) without changes in cardiovascular parameters. The mean C(max) values following oral doses of 0.01 and 0.03 mg kg(-1) were 0.919 ng mL(-1) and 1.85 ng mL(-1), respectively. CONCLUSIONS AND IMPLICATIONS Despite dofetilide exposure comparable to that in humans, QT(c) responses in dogs were greater than those reported in humans. A comparable human dose used in the monkey achieved only half of the exposure but was associated with twofold greater increases in QT(c). Our data support the view that safety risk assessments of new drugs in animal models should ensure that the clinical therapeutic range of exposure is achieved and any untoward effects interpreted accordingly.
Collapse
Affiliation(s)
- T M Haushalter
- Investigational and Regulatory Safety Pharmacology, Schering-Plough Research Institute, Lafayette, NJ 07848-0032, USA.
| | | | | | | | | | | | | |
Collapse
|
39
|
Effect of human renal cationic transporter inhibition on the pharmacokinetics of varenicline, a new therapy for smoking cessation: an in vitro-in vivo study. Clin Pharmacol Ther 2007; 83:567-76. [PMID: 17971819 DOI: 10.1038/sj.clpt.6100405] [Citation(s) in RCA: 72] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Varenicline is predominantly eliminated unchanged in urine, and active tubular secretion partially contributes to its renal elimination. Transporter inhibition assays using human embryonic kidney 293 cells transfected with human renal transporters demonstrated that high concentrations of varenicline inhibited substrate uptake by hOCT2 (IC(50)=890 microM), with very weak or no measurable interactions with the other transporters hOAT1, hOAT3, hOCTN1, and hOCTN2. Varenicline was characterized as a moderate-affinity substrate for hOCT2 (K(m)=370 microM) and its hOCT2-mediated uptake was partially inhibited by cimetidine. Co-administration of cimetidine (1,200 mg/day) reduced the renal clearance of varenicline in 12 smokers, resulting in a 29.0% (90% CI: 21.5%-36.9%) increase in systemic exposure. This increase is not considered clinically relevant, as it should not give rise to safety concerns. Consequently, it can be reasonably expected that other inhibitors of hOCT2 would not cause greater renal interactions with varenicline than that seen with the efficient hOCT2 inhibitor cimetidine.
Collapse
|
40
|
|
41
|
Zimetbaum P, Falk RH. Atrial Fibrillation. Cardiovasc Ther 2007. [DOI: 10.1016/b978-1-4160-3358-5.50030-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
|
42
|
Abstract
AIM To investigate the pharmacokinetic interactions between zalcitabine and nonsteroidal anti-inflammatory drugs (NSAIDs) in rats. METHODS Zalcitabine was administered to rats via an iv injection (20 mg/kg) in the presence or absence of ketoprofen or naproxen (20 mg/kg), and the pharmacokinetic parameters were determined by using non-compartmental analysis. RESULTS Compared with the control (zalcitabine alone), pretreatment with ketoprofen or naproxen 30 min prior to intravenous administration of zalcitabine significantly altered the pharmacokinetic profiles of zalcitabine in rats. Renal clearance of zalcitabine was reduced by approximately 3-4-fold in the presence of ketoprofen or naproxen. Consequently, systemic exposure (AUC) to zalcitabine in the rats pretreated with ketoprofen or naproxen was significantly greater than that for the control group given zalcitabine alone. The terminal plasma half-life of zalcitabine was also prolonged by 4-5-fold in the presence of ketoprofen or naproxen. CONCLUSION The NSAIDs ketoprofen and naproxen effectively altered the pharmacokinetics of zalcitabine. Therefore, concomitant use of ketoprofen or naproxen in patients being treated with zalcitabine may necessitate close monitoring for potential drug interactions.
Collapse
Affiliation(s)
- Yo-han Oh
- College of Pharmacy, Chosun University, Gwangju, Korea.
| | | |
Collapse
|
43
|
Ollerstam A, Visser SAG, Persson AH, Eklund G, Nilsson LB, Forsberg T, Wiklund SJ, Gabrielsson J, Duker G, Al-Saffar A. Pharmacokinetic-pharmacodynamic modeling of drug-induced effect on the QT interval in conscious telemetered dogs. J Pharmacol Toxicol Methods 2005; 53:174-83. [PMID: 16140023 DOI: 10.1016/j.vascn.2005.07.002] [Citation(s) in RCA: 42] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2005] [Accepted: 07/04/2005] [Indexed: 11/27/2022]
Abstract
INTRODUCTION To assure drug safety, the investigation of the relationship between plasma concentration and drug-induced prolongation of the QT interval of the ECG is a challenge in drug discovery. For this purpose, dofetilide was utilized to demonstrate the benefits of characterizing the complete time course of concentrations and effect in conscious beagle dogs in the assessment of drug safety. METHOD On two separate occasions, four male and two female beagle dogs were given vehicle or the test substance, dofetilide (0.25 mumol/kg), over a 3-h intravenous infusion. Cardiovascular parameters, including QT intervals, were recorded for 24-h using radiotelemetry. The QT interval was corrected individually for heart rate, vehicle treatment, and serial correlation (QT(c)). Exposure (plasma concentration) to dofetilide was measured and described by a two-compartment model. The individual concentration-time course of dofetilide was linked to the QT(c) interval via an effect compartment and a pharmacodynamic E(max) model, to account for the observed hysteresis. RESULTS Dofetilide induced a concentration-dependent increase in the QT(c) interval, with an EC(50) of 9 nM (3-30 nM, 95% C.I.) and an E(max) of 59+/-9 ms. A hysteresis loop was observed by plotting plasma concentrations vs. QT interval in time order, indicating a delay in onset of effect. It was found to have an equilibrium half-life of 11+/-8 min. Based on the parameters potency and E(max), a representation was made of the drug-induced changes to the QT interval. DISCUSSION An effect compartment model was found to accurately mimic the QT interval prolongation following administration of the test substance, dofetilide. The assessment of the individual concentration-effect relationship and confounding factors such as hysteresis might provide a better prediction of the safety profiles of new drug candidates.
Collapse
Affiliation(s)
- Anna Ollerstam
- AstraZeneca R&D Södertälje, SE-151 85 Södertälje, Sweden.
| | | | | | | | | | | | | | | | | | | |
Collapse
|
44
|
Shah RR. Mechanistic basis of adverse drugreactions: the perils of inappropriate dose schedules. Expert Opin Drug Saf 2005; 4:103-28. [PMID: 15709902 DOI: 10.1517/14740338.4.1.103] [Citation(s) in RCA: 28] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Adverse drug reactions (ADRs) have long been recognised as a significant cause of morbidity and mortality. They account for a substantial number of clinical consultations, hospital admissions and extended duration of in-patient stay as well as mortality. By far the most common ADRs are the concentration-dependent pharmacological reactions, the majority of which ought to be preventable. As a result of high concentrations of the parent drug and/or its metabolite(s), there is an augmentation of primary pharmacological activity and/or appearance of new and undesirable secondary pharmacological activity. Typically, these high concentrations result from administration of high doses in an attempt to maximise efficacy and/or modulation of the pharmacokinetics of a drug by either genetic or non-genetic factors. High plasma concentrations of parent drug may result from inherited impairment or drug-induced inhibition of its pharmacokinetic disposition. Conversely, inherited overcapacity or drug-induced induction of the metabolism of a drug may result in low concentrations of parent drug and frequently, rapid accumulation of its metabolites. Environmental, dietary and phytochemical factors may also influence the activity of drug metabolising enzymes. As with inherited polymorphisms of acetylation and cytochrome P450-based drug metabolising enzymes, polymorphisms of other conjugation reactions, such as glucuronidation, increasingly appear to be associated with drug toxicity. Diseases of organs involved in elimination of a drug also alter its pharmacokinetics, plasma concentration and, therefore, the profile of its concentration-dependent ADRs. Inherited mutations, concurrently administered drugs or presence of certain diseases may also alter the sensitivity of some pharmacological targets, accounting for a substantial number of ADRs and interactions. When there is enhanced pharmacodynamic sensitivity, plasma drug concentrations that are apparently within the normal 'non-toxic' range give rise to ADRs. Recent advances have also provided important insights into the wider scope of drug-drug interactions. Interactions that occur at P-glycoproteins, drug transporters and efflux pumps, at various transmembrane interfaces such as the gastrointestinal wall, renal tubules, hepatobiliary border and blood-brain barrier, are beginning to explain many non-metabolic interactions. These alter the systemic exposure to drugs and have so far, begun to explain unexpected neurotoxicity and hepatotoxicity. The function of these transporters is also genetically modulated. These advances, together with continued increased awareness and education of prescribers and pharmacists, offer great opportunities for substantially minimising concentration-related ADRs.
Collapse
Affiliation(s)
- Rashmi R Shah
- Medicines and Healthcare products Regulatory Agency (MHRA), Market Towers, 1 Nine Elms Lane, Vauxhall, London, SW8 5NQ, UK.
| |
Collapse
|
45
|
Pater C. Methodological considerations in the design of trials for safety assessment of new drugs and chemical entities. CURRENT CONTROLLED TRIALS IN CARDIOVASCULAR MEDICINE 2005; 6:1. [PMID: 15691384 PMCID: PMC549209 DOI: 10.1186/1468-6708-6-1] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2004] [Accepted: 02/03/2005] [Indexed: 11/25/2022]
|
46
|
Shah RR. Pharmacogenetic aspects of drug-induced torsade de pointes: potential tool for improving clinical drug development and prescribing. Drug Saf 2004; 27:145-72. [PMID: 14756578 DOI: 10.2165/00002018-200427030-00001] [Citation(s) in RCA: 82] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Drug-induced torsade de pointes (TdP) has proved to be a significant iatro-genic cause of morbidity and mortality and a major reason for the withdrawal of a number of drugs from the market in recent times. Enzymes that metabolise many of these drugs and the potassium channels that are responsible for cardiac repolarisation display genetic polymorphisms. Anecdotal reports have suggested that in many cases of drug-induced TdP, there may be a concealed genetic defect of either these enzymes or the potassium channels, giving rise to either high plasma drug concentrations or diminished cardiac repolarisation reserve, respectively. The presence of either of these genetic defects may predispose a patient to TdP, a potentially fatal adverse reaction, even at therapeutic dosages of QT-prolonging drugs and in the absence of other risk factors. Advances in pharmacogenetics of drug metabolising enzymes and pharmacological targets, together with the prospects of rapid and inexpensive genotyping procedures, promise to individualise and improve the benefit/risk ratio of therapy with drugs that have the potential to cause TdP. The qualitative and the quantitative contributions of these genetic defects in clinical cases of TdP are unclear because not all of the patients with TdP are routinely genotyped and some relevant genetic mutations still remain to be discovered. There are regulatory guidelines that recommend strategies aimed at uncovering the risk of TdP associated with new chemical entities during their development. There are also a number of guidelines that recommend integrating pharmacogenetics in this process. This paper proposes a strategy for integrating pharmacogenetics into drug development programmes to optimise association studies correlating genetic traits and endpoints of clinical interest, namely failure of efficacy or development of repolarisation abnormalities. Until pharmacogenetics is carefully integrated into all phases of development of QT-prolonging drugs and large-scale studies are undertaken during their post-marketing use to determine the genetic components involved in induction of TdP, routine genotyping of patients remains unrealistic. Even without this pharmacogenetic data, the clinical risk of TdP can already be greatly minimised. Clinically, a substantial proportion of cases of TdP are due to the use of either high or usual dosages of drugs with potential to cause TdP in the presence of factors that inhibit drug metabolism. Therefore, choosing the lowest effective dose and identifying patients with these non-genetic risk factors are important means of minimising the risk of TdP. In view of the common secondary pharmacology shared by these drugs, a standard set of contraindications and warnings have evolved over the last decade. These include factors responsible for pharmacokinetic or pharmacodynamic drug interactions. Among the latter, the more important ones are bradycardia, electrolyte imbalance, cardiac disease and co-administration of two or more QT-prolonging drugs. In principle, if large scale prospective studies can demonstrate a substantial genetic component, pharmacogenetically driven prescribing ought to reduce the risk further. However, any potential benefits of pharmacogenetics will be squandered without any reduction in the clinical risk of TdP if physicians do not follow prescribing and monitoring recommendations.
Collapse
Affiliation(s)
- Rashmi R Shah
- Medicines and Healthcare products Regulatory Agency, London, United Kingdom.
| |
Collapse
|
47
|
Yamreudeewong W, DeBisschop M, Martin LG, Lower DL. Potentially significant drug interactions of class III antiarrhythmic drugs. Drug Saf 2003; 26:421-38. [PMID: 12688833 DOI: 10.2165/00002018-200326060-00004] [Citation(s) in RCA: 75] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Class III antiarrhythmic drugs, especially amiodarone (a broad-spectrum antiarrhythmic agent), have gained popularity for use in clinical practice in recent years. Other class III antiarrhythmic drugs include bretylium, dofetilide, ibutilide and sotalol. These agents are effective for the management of various types of cardiac arrhythmias both atrial and ventricular in origin. Class III antiarrhythmic drugs may interact with other drugs by two major processes: pharmacodynamic and pharmacokinetic interactions. The pharmacodynamic interaction occurs when the pharmacological effects of the object drug are stimulated or inhibited by the precipitant drug. Pharmacokinetic interactions can result from the interference of drug absorption, metabolism and/or elimination of the object drug by the precipitant drug. Among the class III antiarrhythmic drugs, amiodarone has been reported to be involved in a significant number of drug interactions. It is mainly metabolised by cytochrome P450 (CYP)3A4 and it is a potent inhibitor of CYP1A2, 2C9, 2D6 and 3A4. In addition, amiodarone may interact with other drugs (such as digoxin) via the inhibition of the P-glycoprotein membrane transporter system, a recently described pharmacokinetic mechanism of drug interactions. Bretylium is not metabolised; it is excreted unchanged in the urine. Therefore the interactions between bretylium and other drugs (including other antiarrhythmic drugs) is primarily through the pharmacodynamic mechanism. Dofetilide is metabolised by CYP3A4 and excreted by the renal cation transport system. Drugs that inhibit CYP3A4 (such as erythromycin) and/or the renal transport system (such as triamterene) may interact with dofetilide. It appears that the potential for pharmacokinetic interactions between ibutilide and other drugs is low. This is because ibutilide is not metabolised by CYP3A4 or CYP2D6. However, ibutilide may significantly interact with other drugs by a pharmacodynamic mechanism. Sotalol is primarily excreted unchanged in the urine. The potential for drug interactions due to hepatic enzyme induction or inhibition appears to be less likely. However, a number of drugs (such as digoxin) have been reported to interact with sotalol pharmacodynamically. If concurrent use of a class III antiarrhythmic agent and another drug cannot be avoided or no published studies for that particular drug interaction are available, caution should be exercised and close monitoring of the patient should be performed in order to avoid or minimise the risks associated with a possible adverse drug interaction.
Collapse
Affiliation(s)
- Weeranuj Yamreudeewong
- School of Pharmacy, University of Wyoming, and Pharmacy Services, Cheyenne VAMC, Cheyenne, Wyoming 82001, USA.
| | | | | | | |
Collapse
|
48
|
Abstract
1. The molecular and functional characterization of transport proteins is emerging rapidly and significant numbers of drugs have been shown to be substrates or inhibitors. The purpose of this review is to highlight the in vivo preclinical and clinical evidence that supports a role for transport proteins in attenuating the absorption, distribution and excretion (ADE) of drugs. 2. For absorption, a clear role has emerged for P-glycoprotein in limiting permeability across the gastrointestinal tract. As a result, a wide variety of drugs suffer from incomplete, variable and non-linear absorption. Similarly, at the blood-brain barrier a range of drugs has limited brain penetration due to P-glycoprotein-mediated efflux, which can limit therapeutic effectiveness of CNS agents. In the liver, transport proteins are present on the sinusoidal membrane that can be the rate-limiting step in hepatic clearance for some drugs. Mechanistic studies clearly suggest a key role and broad substrate specificity for the OATP family of sinusoidal transporters. Mainly ATP-dependent transport proteins such as P-glycoprotein and MRP2 govern active biliary excretion. 3. Drug-drug interactions have been demonstrated involving inhibition or induction of transport proteins. Clinically significant interactions in the gastrointestinal tract and kidney have been observed with inhibitors such as ketoconazole, erythromycin, verapamil, quinidine, probenecid and cimetidine. Clinically significant inhibition at the blood-brain barrier is more difficult to demonstrate, relying on pharmacodynamic and toxicodynamic changes, but an example is quinidine increasing loperamide-induced central effects in humans. 4. This review highlights the emerging role of transport proteins in ADE of drugs and suggests these need to be considered, in drug discovery and development, with respect to variability in drug disposition and response.
Collapse
Affiliation(s)
- A Ayrton
- Mechanism and Extrapolation Technologies, DMPK, GlaxoSmithKline, Welwyn, UK
| | | |
Collapse
|
49
|
Current Awareness. Pharmacoepidemiol Drug Saf 2000. [DOI: 10.1002/1099-1557(200007/08)9:4<341::aid-pds490>3.0.co;2-#] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
|