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Marie S, Frost KL, Hau RK, Martinez-Guerrero L, Izu JM, Myers CM, Wright SH, Cherrington NJ. Predicting disruptions to drug pharmacokinetics and the risk of adverse drug reactions in non-alcoholic steatohepatitis patients. Acta Pharm Sin B 2023; 13:1-28. [PMID: 36815037 PMCID: PMC9939324 DOI: 10.1016/j.apsb.2022.08.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Revised: 07/29/2022] [Accepted: 08/03/2022] [Indexed: 12/18/2022] Open
Abstract
The liver plays a central role in the pharmacokinetics of drugs through drug metabolizing enzymes and transporters. Non-alcoholic steatohepatitis (NASH) causes disease-specific alterations to the absorption, distribution, metabolism, and excretion (ADME) processes, including a decrease in protein expression of basolateral uptake transporters, an increase in efflux transporters, and modifications to enzyme activity. This can result in increased drug exposure and adverse drug reactions (ADRs). Our goal was to predict drugs that pose increased risks for ADRs in NASH patients. Bibliographic research identified 71 drugs with reported ADRs in patients with liver disease, mainly non-alcoholic fatty liver disease (NAFLD), 54 of which are known substrates of transporters and/or metabolizing enzymes. Since NASH is the progressive form of NAFLD but is most frequently undiagnosed, we identified other drugs at risk based on NASH-specific alterations to ADME processes. Here, we present another list of 71 drugs at risk of pharmacokinetic disruption in NASH, based on their transport and/or metabolism processes. It encompasses drugs from various pharmacological classes for which ADRs may occur when used in NASH patients, especially when eliminated through multiple pathways altered by the disease. Therefore, these results may inform clinicians regarding the selection of drugs for use in NASH patients.
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Affiliation(s)
- Solène Marie
- College of Pharmacy, Department of Pharmacology & Toxicology, University of Arizona, Tucson, AZ 85721, USA
| | - Kayla L. Frost
- College of Pharmacy, Department of Pharmacology & Toxicology, University of Arizona, Tucson, AZ 85721, USA
| | - Raymond K. Hau
- College of Pharmacy, Department of Pharmacology & Toxicology, University of Arizona, Tucson, AZ 85721, USA
| | - Lucy Martinez-Guerrero
- College of Pharmacy, Department of Pharmacology & Toxicology, University of Arizona, Tucson, AZ 85721, USA
| | - Jailyn M. Izu
- College of Pharmacy, Department of Pharmacology & Toxicology, University of Arizona, Tucson, AZ 85721, USA
| | - Cassandra M. Myers
- College of Pharmacy, Department of Pharmacology & Toxicology, University of Arizona, Tucson, AZ 85721, USA
| | - Stephen H. Wright
- College of Medicine, Department of Physiology, University of Arizona, Tucson, AZ 85724, USA
| | - Nathan J. Cherrington
- College of Pharmacy, Department of Pharmacology & Toxicology, University of Arizona, Tucson, AZ 85721, USA,Corresponding author. Tel.: +1 520 6260219; fax: +1 520 6266944.
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Shatnawi A, Kamran Z, Al-Share Q. Pharmacogenomics of lipid-lowering agents: the impact on efficacy and safety. Per Med 2022; 20:65-86. [DOI: 10.2217/pme-2022-0041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Hyperlipidemia is a significant risk factor for cardiovascular disease morbidity and mortality. The lipid-lowering drugs are considered the cornerstone of primary and secondary prevention of atherosclerotic cardiovascular disease. Unfortunately, the lack of efficacy and associated adverse effects, ranging from mild-to-moderate to potentially life-threatening, lead to therapy discontinuation. Numerous reports support the role of gene polymorphisms in drugs' pharmacokinetic parameters and their associated adverse reactions. Therefore, this study aims to understand the pharmacogenomics of lipid-lowering drugs and the impact of genetic variants of key genes on the drugs' efficacy and toxicity. Indeed, genetically guided lipid-lowering therapy enhances overall safety, improves drug adherence and achieves long-term therapy.
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Affiliation(s)
- Aymen Shatnawi
- Department of Drug Discovery & Biomedical Sciences, College of Pharmacy, Medical University of South Carolina, 70 President St., Room 402, Charleston, SC 29425, USA
| | - Zourayz Kamran
- Department of Pharmaceutical & Administrative Sciences, University of Charleston School of Pharmacy, 2300 MacCorkle Ave SE, Charleston, WV 25304, USA
| | - Qusai Al-Share
- Department of Clinical Pharmacy, Assistant Professor of Pharmacology & Therapeutics, Faculty of Pharmacy, Jordan University of Science & Technology, P.O. Box 3030, Irbid, 22110, Jordan
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Fu C, Pei Q, Liang W, Yang B, Li W, Liu J, Tan H, Guo C, Zhang H, Yang G. Population Pharmacokinetic Modelling for Nifedipine to Evaluate the Effect of Parathyroid Hormone on CYP3A in Patients with Chronic Kidney Disease. Drug Des Devel Ther 2022; 16:2261-2274. [PMID: 35860523 PMCID: PMC9289454 DOI: 10.2147/dddt.s362607] [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: 02/19/2022] [Accepted: 06/30/2022] [Indexed: 11/30/2022] Open
Abstract
Purpose Parathyroid hormone (PTH) can induce the downregulation of CYP3A in chronic kidney disease (CKD). Nevertheless, the effect of PTH on CYP3A-mediated clearance pathways from a clinical perspective remains unclear. Methods This study employed population pharmacokinetic (PopPK) modeling to delineate potential changes in CYP3A activity in patients with CKD. Pharmacokinetic data for nifedipine, a typical CYP3A substrate, as well as covariate information, were prospectively collected from 157 patients with a total of 612 concentrations. PopPK data analysis was performed using a nonlinear mixed-effects model. Results The pharmacokinetics of nifedipine were optimally described according to a one-compartment model with zero-order absorption and first-order elimination. The estimated population parameters (and interindividual variability) were apparent clearance (CL/F) 49.61 L/h (58.33%) and apparent volume of distribution (V/F) 2300.26 L (45.62%), and the PTH level negatively correlated with CL/F. In comparison with the reference level, it was observed that the dosage of nifedipine should be reduced with the maximum boundary value of PTH, after a Monte Carlo simulation. Conclusion This study provides insight into the effects of PTH on CYP3A-mediated clearance pathways. Moreover, PTH could be used as a guide for the appropriate administration of CYP3A eliminated drugs in patients with CKD.
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Affiliation(s)
- Chengxiao Fu
- Center for Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, People’s Republic of China
- The First Affiliated Hospital, Department of Pharmacy, Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
| | - Qi Pei
- Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Wu Liang
- Research Center of Drug Clinical Evaluation of Central South University, Changsha, People’s Republic of China
| | - Bo Yang
- The First Affiliated Hospital, Department of Pharmacy, Hengyang Medical School, University of South China, Hengyang, People’s Republic of China
| | - Wei Li
- Department of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Jun Liu
- Department of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Hongyi Tan
- Center for Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, People’s Republic of China
- Research Center of Drug Clinical Evaluation of Central South University, Changsha, People’s Republic of China
| | - Chengxian Guo
- Center for Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, People’s Republic of China
- Research Center of Drug Clinical Evaluation of Central South University, Changsha, People’s Republic of China
| | - Hao Zhang
- Department of Nephrology, The Third Xiangya Hospital, Central South University, Changsha, People’s Republic of China
| | - Guoping Yang
- Center for Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, People’s Republic of China
- Research Center of Drug Clinical Evaluation of Central South University, Changsha, People’s Republic of China
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de Jong LM, Jiskoot W, Swen JJ, Manson ML. Distinct Effects of Inflammation on Cytochrome P450 Regulation and Drug Metabolism: Lessons from Experimental Models and a Potential Role for Pharmacogenetics. Genes (Basel) 2020; 11:genes11121509. [PMID: 33339226 PMCID: PMC7766585 DOI: 10.3390/genes11121509] [Citation(s) in RCA: 59] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 12/07/2020] [Accepted: 12/14/2020] [Indexed: 12/18/2022] Open
Abstract
Personalized medicine strives to optimize drug treatment for the individual patient by taking into account both genetic and non-genetic factors for drug response. Inflammation is one of the non-genetic factors that has been shown to greatly affect the metabolism of drugs—primarily through inhibition of cytochrome P450 (CYP450) drug-metabolizing enzymes—and hence contribute to the mismatch between the genotype predicted drug response and the actual phenotype, a phenomenon called phenoconversion. This review focuses on inflammation-induced drug metabolism alterations. In particular, we discuss the evidence assembled through human in-vitro models on the effect of inflammatory mediators on clinically relevant CYP450 isoform levels and their metabolizing capacity. We also present an overview of the current understanding of the mechanistic pathways via which inflammation in hepatocytes may modulate hepatic functions that are critical for drug metabolism. Furthermore, since large inter-individual variability in response to inflammation is observed in human in-vitro models and clinical studies, we evaluate the potential role of pharmacogenetic variability in the inflammatory signaling cascade and how this can modulate the outcome of inflammation on drug metabolism and response.
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Affiliation(s)
- Laura M. de Jong
- Division of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Leiden University, 2333 CC Leiden, The Netherlands; (L.M.d.J.); (W.J.)
| | - Wim Jiskoot
- Division of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Leiden University, 2333 CC Leiden, The Netherlands; (L.M.d.J.); (W.J.)
| | - Jesse J. Swen
- Department of Clinical Pharmacy & Toxicology, Leiden University Medical Center (LUMC), 2333 ZA Leiden, The Netherlands;
- Leiden Network for Personalised Therapeutics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
| | - Martijn L. Manson
- Division of BioTherapeutics, Leiden Academic Centre for Drug Research (LACDR), Leiden University, 2333 CC Leiden, The Netherlands; (L.M.d.J.); (W.J.)
- Leiden Network for Personalised Therapeutics, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
- Correspondence:
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Kee PS, Chin PKL, Kennedy MA, Maggo SDS. Pharmacogenetics of Statin-Induced Myotoxicity. Front Genet 2020; 11:575678. [PMID: 33193687 PMCID: PMC7596698 DOI: 10.3389/fgene.2020.575678] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 08/26/2020] [Indexed: 12/15/2022] Open
Abstract
Statins, a class of lipid-lowering medications, have been a keystone treatment in cardiovascular health. However, adverse effects associated with statin use impact patient adherence, leading to statin discontinuation. Statin-induced myotoxicity (SIM) is one of the most common adverse effects, prevalent across all ages, genders, and ethnicities. Although certain demographic cohorts carry a higher risk, the impaired quality of life attributed to SIM is significant. The pathogenesis of SIM remains to be fully elucidated, but it is clear that SIM is multifactorial. These factors include drug-drug interactions, renal or liver dysfunction, and genetics. Genetic-inferred risk for SIM was first reported by a landmark genome-wide association study, which reported a higher risk of SIM with a polymorphism in the SLCO1B1 gene. Since then, research associating genetic factors with SIM has expanded widely and has become one of the foci in the field of pharmacogenomics. This review provides an update on the genetic risk factors associated with SIM.
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Affiliation(s)
- Ping Siu Kee
- Gene Structure and Function Laboratory, Carney Centre for Pharmacogenomics, Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | | | - Martin A. Kennedy
- Gene Structure and Function Laboratory, Carney Centre for Pharmacogenomics, Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Simran D. S. Maggo
- Gene Structure and Function Laboratory, Carney Centre for Pharmacogenomics, Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
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Hougaard Christensen MM, Bruun Haastrup M, Øhlenschlaeger T, Esbech P, Arnspang Pedersen S, Bach Dunvald AC, Bjerregaard Stage T, Pilsgaard Henriksen D, Thestrup Pedersen AJ. Interaction potential between clarithromycin and individual statins-A systematic review. Basic Clin Pharmacol Toxicol 2019; 126:307-317. [PMID: 31628882 DOI: 10.1111/bcpt.13343] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 10/11/2019] [Indexed: 12/14/2022]
Abstract
The high prevalence of statin and clarithromycin utilization creates potential for overlapping use. The objectives of this MiniReview were to investigate the evidence base for drug-drug interactions between clarithromycin and currently marketed statins and to present management strategies for these drug combinations. We conducted a systematic literature review following PRISMA guidelines with English language studies retrieved from PubMed and EMBASE (from inception through March 2019). We included 29 articles (16 case reports, 5 observational, 5 clinical pharmacokinetic and 3 in vitro studies). Based on mechanistic/clinical studies involving clarithromycin or the related macrolide erythromycin (both strong inhibitors of CYP3A4 and of hepatic statin uptake transporters OATP1B1 and OATP1B3), clarithromycin is expected to substantially increase systemic exposure to simvastatin and lovastatin (>5-fold increase in area under the plasma concentration-time curve (AUC)), moderately increase AUCs of atorvastatin and pitavastatin (2- to 4-fold AUC increase) and slightly increase pravastatin exposure (≈2-fold AUC increase) while having little effect on fluvastatin or rosuvastatin. The 16 cases of statin-clarithromycin adverse drug reactions (rhabdomyolysis (n = 14) or less severe clinical myopathy) involved a CYP3A4-metabolized statin (simvastatin, lovastatin or atorvastatin). In line, a cohort study found concurrent use of clarithromycin and CYP3A4-metabolized statins to be associated with a doubled risk of hospitalization with rhabdomyolysis or other statin-related adverse events as compared with azithromycin-statin co-administration. If clarithromycin is necessary, we recommend (a) avoiding co-administration with simvastatin, lovastatin or atorvastatin; (b) withholding or dose-reducing pitavastatin; (c) continuing pravastatin therapy with caution, limiting pravastatin dose to 40 mg daily; and (d) continuing fluvastatin or rosuvastatin with caution.
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Affiliation(s)
- Mette Marie Hougaard Christensen
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Maija Bruun Haastrup
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark.,Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Thomas Øhlenschlaeger
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Peter Esbech
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | - Sidsel Arnspang Pedersen
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark
| | | | - Tore Bjerregaard Stage
- Clinical Pharmacology and Pharmacy, Department of Public Health, University of Southern Denmark, Odense, Denmark
| | - Daniel Pilsgaard Henriksen
- Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark.,Clinical Pharmacology and Pharmacy, Department of Public Health, University of Southern Denmark, Odense, Denmark
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Shen H, Christopher L, Lai Y, Gong J, Kandoussi H, Garonzik S, Perera V, Garimella T, Humphreys WG. Further Studies to Support the Use of Coproporphyrin I and III as Novel Clinical Biomarkers for Evaluating the Potential for Organic Anion Transporting Polypeptide 1B1 and OATP1B3 Inhibition. Drug Metab Dispos 2018; 46:1075-1082. [PMID: 29777022 DOI: 10.1124/dmd.118.081125] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2018] [Accepted: 05/16/2018] [Indexed: 12/14/2022] Open
Abstract
In a recent study, limited to South Asian Indian subjects (n = 12), coproporphyrin (CP) I and CPIII demonstrated properties appropriate for an organic anion-transporting polypeptide (OATP) 1B endogenous probe. The current studies were conducted in healthy volunteers of mixed ethnicities, including black, white, and Hispanic subjects, to better understand the utility of these biomarkers in broader populations. After oral administration with 600 mg rifampin, AUC(0-24h) values were 2.8-, 3.7-, and 3.6-fold higher than predose levels for CPI and 2.6-, 3.1-, and 2.4-fold higher for CPIII, for the three populations, respectively. These changes in response to rifampin were consistent with previous results. The sensitivity toward OATP1B inhibition was also investigated by evaluating changes of plasma CP levels in the presence of diltiazem and itraconazole [administered as part of an unrelated drug-drug interaction (DDI) investigation], two compounds that were predicted to have minimal inhibitory effect on OATP1B. Administration of diltiazem and itraconazole did not increase plasma CPI and CPIII concentrations relative to prestudy levels, in agreement with predictions from in vitro parameters. Additionally, the basal CP concentrations in subjects with SLCO1B1 c.521TT genotype were comparable to those with SLCO1B1 c.521TC genotype, similar to studies with probe substrates. However, subjects with SLCO1B1 c.388AG and c.388GG genotypes (i.e., increased OATP1B1 transport activity for certain substrates) had lower concentrations of CPI than those with SLCO1B1 c.388AA. Collectively, these findings provide further evidence supporting the translational value of CPI and CPIII as suitable endogenous clinical probes to gauge OATP1B activity and potential for OATP1B-mediated DDIs.
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Affiliation(s)
- Hong Shen
- Metabolism and Pharmacokinetics (H.S., L.C., Y.L., J.G., W.G.H.), Bioanalytical Sciences (H.K.), and Clinical Pharmacology and Pharmacometrics (S.G., V.P., T.G.), Bristol-Myers Squibb Company, Princeton, New Jersey
| | - Lisa Christopher
- Metabolism and Pharmacokinetics (H.S., L.C., Y.L., J.G., W.G.H.), Bioanalytical Sciences (H.K.), and Clinical Pharmacology and Pharmacometrics (S.G., V.P., T.G.), Bristol-Myers Squibb Company, Princeton, New Jersey
| | - Yurong Lai
- Metabolism and Pharmacokinetics (H.S., L.C., Y.L., J.G., W.G.H.), Bioanalytical Sciences (H.K.), and Clinical Pharmacology and Pharmacometrics (S.G., V.P., T.G.), Bristol-Myers Squibb Company, Princeton, New Jersey
| | - Jiachang Gong
- Metabolism and Pharmacokinetics (H.S., L.C., Y.L., J.G., W.G.H.), Bioanalytical Sciences (H.K.), and Clinical Pharmacology and Pharmacometrics (S.G., V.P., T.G.), Bristol-Myers Squibb Company, Princeton, New Jersey
| | - Hamza Kandoussi
- Metabolism and Pharmacokinetics (H.S., L.C., Y.L., J.G., W.G.H.), Bioanalytical Sciences (H.K.), and Clinical Pharmacology and Pharmacometrics (S.G., V.P., T.G.), Bristol-Myers Squibb Company, Princeton, New Jersey
| | - Samira Garonzik
- Metabolism and Pharmacokinetics (H.S., L.C., Y.L., J.G., W.G.H.), Bioanalytical Sciences (H.K.), and Clinical Pharmacology and Pharmacometrics (S.G., V.P., T.G.), Bristol-Myers Squibb Company, Princeton, New Jersey
| | - Vidya Perera
- Metabolism and Pharmacokinetics (H.S., L.C., Y.L., J.G., W.G.H.), Bioanalytical Sciences (H.K.), and Clinical Pharmacology and Pharmacometrics (S.G., V.P., T.G.), Bristol-Myers Squibb Company, Princeton, New Jersey
| | - Tushar Garimella
- Metabolism and Pharmacokinetics (H.S., L.C., Y.L., J.G., W.G.H.), Bioanalytical Sciences (H.K.), and Clinical Pharmacology and Pharmacometrics (S.G., V.P., T.G.), Bristol-Myers Squibb Company, Princeton, New Jersey
| | - W Griffith Humphreys
- Metabolism and Pharmacokinetics (H.S., L.C., Y.L., J.G., W.G.H.), Bioanalytical Sciences (H.K.), and Clinical Pharmacology and Pharmacometrics (S.G., V.P., T.G.), Bristol-Myers Squibb Company, Princeton, New Jersey
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