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Hosseini MS, Pourgholi L, Ziaee S, Pourgholi M, Mandegary A, Boroumand M. Association Between NAD(P)H Quinone Oxidoreductase 1 (NQO1) Gene Methylation/Expression and Bleeding Incidence Among an Iranian Population Undergoing Warfarin Therapy. Indian J Hematol Blood Transfus 2024; 40:517-521. [PMID: 39011266 PMCID: PMC11246350 DOI: 10.1007/s12288-023-01726-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 12/07/2023] [Indexed: 07/17/2024] Open
Abstract
Increased bleeding tendency is a common and challenging complication of warfarin therapy which results in extensive pharmacogenomic studies in order to develop a personalized dosing approach and minimize the risk of related side effects. Here we aimed to explore the potential role of NQO1 gene expression in warfarin response in a group of Iranian patients. We also evaluated the NQO1 promoter methylation and its association with mRNA expression. A total of 87 patients on warfarin therapy including 34 cases with drug-induced bleeding events and 53 matched controls without bleedings were included in the study. The expression of NQO1 was examined by real-time q-PCR and the methylation status of its promoter region was analyzed using methyQESD technique. There was a significant association between the reduced NQO1 gene expression and susceptibility to bleeding before (OR = 1.92, 95% CI = 1.23-3.00, p = 0.004) and following adjustment for hypertriglyceridemia (OR = 2.22, 95% CI = 1.33-3.69, p = 0.002). Furthermore, a medium negative correlation was observed between NQO1 expression and its promoter methylation (r = - 0.382, p = 0.001). The lower expression of NQO1 which partly arises from increased methylation of promoter region, may predispose warfarin treated patients to bleeding events.
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Affiliation(s)
- Maryam Sadat Hosseini
- Department of Molecular Pathology, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Leyla Pourgholi
- Department of Molecular Pathology, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Shayan Ziaee
- Department of Molecular Pathology, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mitra Pourgholi
- Department of Clinical Biochemistry, Faculty of Medicine, Babol University of Medical Sciences, Babol, Iran
| | - Ali Mandegary
- Department of Toxicology & Pharmacology, Faculty of Pharmacy, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
| | - Mohammadali Boroumand
- Department of Pathology and Laboratory Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
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Zhang S, Zhao M, Zhong S, Niu J, Zhou L, Zhu B, Su H, Cao W, Xing Q, Yan H, Han X, Fu Q, Li Q, Chen L, Yang F, Zhang N, Wu H, He L, Qin S. Association between CYP2C9 and VKORC1 genetic polymorphisms and efficacy and safety of warfarin in Chinese patients. Pharmacogenet Genomics 2024; 34:105-116. [PMID: 38470454 DOI: 10.1097/fpc.0000000000000526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/13/2024]
Abstract
OBJECTIVES Genetic variation has been a major contributor to interindividual variability of warfarin dosage requirement. The specific genetic factors contributing to warfarin bleeding complications are largely unknown, particularly in Chinese patients. In this study, 896 Chinese patients were enrolled to explore the effect of CYP2C9 and VKORC1 genetic variations on both the efficacy and safety of warfarin therapy. METHODS AND RESULTS Univariate analyses unveiled significant associations between two specific single nucleotide polymorphisms rs1057910 in CYP2C9 and rs9923231 in VKORC1 and stable warfarin dosage ( P < 0.001). Further, employing multivariate logistic regression analysis adjusted for age, sex and height, the investigation revealed that patients harboring at least one variant allele in CYP2C9 exhibited a heightened risk of bleeding events compared to those with the wild-type genotype (odds ratio = 2.16, P = 0.04). Moreover, a meta-analysis conducted to consolidate findings confirmed the associations of both CYP2C9 (rs1057910) and VKORC1 (rs9923231) with stable warfarin dosage. Notably, CYP2C9 variant genotypes were significantly linked to an increased risk of hemorrhagic complications ( P < 0.00001), VKORC1 did not demonstrate a similar association. CONCLUSION The associations found between specific genetic variants and both stable warfarin dosage and bleeding risk might be the potential significance of gene detection in optimizing warfarin therapy for improving patient efficacy and safety.
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Affiliation(s)
- Suli Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai
| | - Mingzhe Zhao
- Affiliated Mental Health Center & Hangzhou Seventh People's Hospital, Zhejiang University School of Medicine, Hangzhou
| | - Shilong Zhong
- Department of Pharmacy, Guangdong Provincial People's Hospital, Guangdong
| | - Jiamin Niu
- Department of Cardiology, Jinan City People's Hospital, Jinan
| | - Lijuan Zhou
- Translational Medicine Center, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou
| | - Bin Zhu
- Shanghai Baio Technology Co., Ltd., Shanghai
| | - Haili Su
- Department of Cardiology, Huhhot First Hospital, Huhhot
| | - Wei Cao
- Translational Medicine Center, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou
| | - Qinghe Xing
- Institutes of Biomedical Sciences, Fudan University
| | - Hongli Yan
- Reproductive, Medicine Center, Changhai Hospital, Navy Medical University, Shanghai
| | - Xia Han
- Department of Cardiology, Jinan City People's Hospital, Jinan
| | - Qihua Fu
- Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai
- Shanghai Key Laboratory of Clinical Molecular Diagnostics for Pediatrics, Shanghai
| | - Qiang Li
- Department of Geriatrics, Shandong Provincial Third Hospital, Shandong
| | - Luan Chen
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai
| | - Fan Yang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai
| | - Na Zhang
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai
| | - Hao Wu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai
| | - Lin He
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai
| | - Shengying Qin
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai
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Cross B, Turner RM, Zhang JE, Pirmohamed M. Being precise with anticoagulation to reduce adverse drug reactions: are we there yet? THE PHARMACOGENOMICS JOURNAL 2024; 24:7. [PMID: 38443337 PMCID: PMC10914631 DOI: 10.1038/s41397-024-00329-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 02/11/2024] [Accepted: 02/15/2024] [Indexed: 03/07/2024]
Abstract
Anticoagulants are potent therapeutics widely used in medical and surgical settings, and the amount spent on anticoagulation is rising. Although warfarin remains a widely prescribed oral anticoagulant, prescriptions of direct oral anticoagulants (DOACs) have increased rapidly. Heparin-based parenteral anticoagulants include both unfractionated and low molecular weight heparins (LMWHs). In clinical practice, anticoagulants are generally well tolerated, although interindividual variability in response is apparent. This variability in anticoagulant response can lead to serious incident thrombosis, haemorrhage and off-target adverse reactions such as heparin-induced thrombocytopaenia (HIT). This review seeks to highlight the genetic, environmental and clinical factors associated with variability in anticoagulant response, and review the current evidence base for tailoring the drug, dose, and/or monitoring decisions to identified patient subgroups to improve anticoagulant safety. Areas that would benefit from further research are also identified. Validated variants in VKORC1, CYP2C9 and CYP4F2 constitute biomarkers for differential warfarin response and genotype-informed warfarin dosing has been shown to reduce adverse clinical events. Polymorphisms in CES1 appear relevant to dabigatran exposure but the genetic studies focusing on clinical outcomes such as bleeding are sparse. The influence of body weight on LMWH response merits further attention, as does the relationship between anti-Xa levels and clinical outcomes. Ultimately, safe and effective anticoagulation requires both a deeper parsing of factors contributing to variable response, and further prospective studies to determine optimal therapeutic strategies in identified higher risk subgroups.
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Affiliation(s)
- Benjamin Cross
- Wolfson Centre for Personalised Medicine, Institute of Systems, Molecular and Integrative Biology, The University of Liverpool, 1-5 Brownlow Street, Liverpool, L69 3GL, UK
| | - Richard M Turner
- Wolfson Centre for Personalised Medicine, Institute of Systems, Molecular and Integrative Biology, The University of Liverpool, 1-5 Brownlow Street, Liverpool, L69 3GL, UK
- GSK, Stevenage, Hertfordshire, SG1 2NY, UK
| | - J Eunice Zhang
- Wolfson Centre for Personalised Medicine, Institute of Systems, Molecular and Integrative Biology, The University of Liverpool, 1-5 Brownlow Street, Liverpool, L69 3GL, UK
| | - Munir Pirmohamed
- Wolfson Centre for Personalised Medicine, Institute of Systems, Molecular and Integrative Biology, The University of Liverpool, 1-5 Brownlow Street, Liverpool, L69 3GL, UK.
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Augustin D, Lambert B, Robinson M, Wang K, Gavaghan D. Simulating clinical trials for model-informed precision dosing: using warfarin treatment as a use case. Front Pharmacol 2023; 14:1270443. [PMID: 37927586 PMCID: PMC10621790 DOI: 10.3389/fphar.2023.1270443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 10/05/2023] [Indexed: 11/07/2023] Open
Abstract
Treatment response variability across patients is a common phenomenon in clinical practice. For many drugs this inter-individual variability does not require much (if any) individualisation of dosing strategies. However, for some drugs, including chemotherapies and some monoclonal antibody treatments, individualisation of dosages are needed to avoid harmful adverse events. Model-informed precision dosing (MIPD) is an emerging approach to guide the individualisation of dosing regimens of otherwise difficult-to-administer drugs. Several MIPD approaches have been suggested to predict dosing strategies, including regression, reinforcement learning (RL) and pharmacokinetic and pharmacodynamic (PKPD) modelling. A unified framework to study the strengths and limitations of these approaches is missing. We develop a framework to simulate clinical MIPD trials, providing a cost and time efficient way to test different MIPD approaches. Central for our framework is a clinical trial model that emulates the complexities in clinical practice that challenge successful treatment individualisation. We demonstrate this framework using warfarin treatment as a use case and investigate three popular MIPD methods: 1. Neural network regression; 2. Deep RL; and 3. PKPD modelling. We find that the PKPD model individualises warfarin dosing regimens with the highest success rate and the highest efficiency: 75.1% of the individuals display INRs inside the therapeutic range at the end of the simulated trial; and the median time in the therapeutic range (TTR) is 74%. In comparison, the regression model and the deep RL model have success rates of 47.0% and 65.8%, and median TTRs of 45% and 68%. We also find that the MIPD models can attain different degrees of individualisation: the Regression model individualises dosing regimens up to variability explained by covariates; the Deep RL model and the PKPD model individualise dosing regimens accounting also for additional variation using monitoring data. However, the Deep RL model focusses on control of the treatment response, while the PKPD model uses the data also to further the individualisation of predictions.
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Affiliation(s)
- David Augustin
- Department of Computer Science, University of Oxford, Oxford, United Kingdom
| | - Ben Lambert
- College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, United Kingdom
| | - Martin Robinson
- Department of Computer Science, University of Oxford, Oxford, United Kingdom
| | - Ken Wang
- Research and Early Development, F. Hoffmann-La Roche AG, Basel, Switzerland
| | - David Gavaghan
- Department of Computer Science, University of Oxford, Oxford, United Kingdom
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Cheng ZZ, Hu X, Li YL, Zhang L. Predicting bioequivalence and developing dissolution bioequivalence safe space in vitro for warfarin using a Physiologically-Based pharmacokinetic absorption model. Eur J Pharm Biopharm 2023; 191:12-25. [PMID: 37567396 DOI: 10.1016/j.ejpb.2023.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 07/13/2023] [Accepted: 08/08/2023] [Indexed: 08/13/2023]
Abstract
OBJECTIVE Bioequivalence (BE) studies support the approval and clinical use of both new and generic drug products. Narrow therapeutic index (NTI) drugs have relatively high costs and low success rates of BE evaluation clinical trials as high-risk drugs. A physiologically-based pharmacokinetic (PBPK) model can be used to evaluate the BE of two preparations. METHODS This study inputs the basic physical and chemical property parameters of warfarin sodium available at the present stage into GastroPlus™ software, and combined it with the Advanced Compartmental Absorption and Transit (ACAT™) model built into the software. The PBPK model of Chinese individuals taking 2.5 mg of warfarin sodium orally while fasted condition was developed using the disposal parameters calculated from the clinically measured PK data of the reference preparations. The model was tested using the PK data of other reference preparations and tested preparations from different domestic manufacturers. RESULTS The results revealed that at least 30% of drugs are released in 30 min under a pH of 4.5 condition, and at least 80% are released in 30 min under a pH of 6.8 condition, which can be used as bioequivalent dissolution limits under fasted conditions. The risk of BE failure in the fed condition will be significantly reduced for the clinical study on the BE of warfarin sodium, which is a NTI drug if the fasted condition is bioequivalent. CONCLUSION The results revealed that the PBPK models were successfully developed for 2.5 mg of warfarin sodium tablets in Chinese individuals. Developing a PBPK model for NTI drugs based on in vitro dissolution data in software is a promising method for BE evaluation, which can provide great help for developing new drugs and the clinical trial research of BE of generic drugs.
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Affiliation(s)
- Zi-Zhao Cheng
- Department of Pharmacology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nerve System Drugs,Beijing Municipal Geriatric Medical Research Center, Beijing 100053, China
| | - Xiao Hu
- Department of Pharmacology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nerve System Drugs,Beijing Municipal Geriatric Medical Research Center, Beijing 100053, China
| | - Ya-Li Li
- Department of Pharmacology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nerve System Drugs,Beijing Municipal Geriatric Medical Research Center, Beijing 100053, China
| | - Lan Zhang
- Department of Pharmacology, Xuanwu Hospital of Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing Engineering Research Center for Nerve System Drugs,Beijing Municipal Geriatric Medical Research Center, Beijing 100053, China.
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Padmanabhan S, du Toit C, Dominiczak AF. Cardiovascular precision medicine - A pharmacogenomic perspective. CAMBRIDGE PRISMS. PRECISION MEDICINE 2023; 1:e28. [PMID: 38550953 PMCID: PMC10953758 DOI: 10.1017/pcm.2023.17] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 05/24/2023] [Accepted: 06/12/2023] [Indexed: 05/16/2024]
Abstract
Precision medicine envisages the integration of an individual's clinical and biological features obtained from laboratory tests, imaging, high-throughput omics and health records, to drive a personalised approach to diagnosis and treatment with a higher chance of success. As only up to half of patients respond to medication prescribed following the current one-size-fits-all treatment strategy, the need for a more personalised approach is evident. One of the routes to transforming healthcare through precision medicine is pharmacogenomics (PGx). Around 95% of the population is estimated to carry one or more actionable pharmacogenetic variants and over 75% of adults over 50 years old are on a prescription with a known PGx association. Whilst there are compelling examples of pharmacogenomic implementation in clinical practice, the case for cardiovascular PGx is still evolving. In this review, we shall summarise the current status of PGx in cardiovascular diseases and look at the key enablers and barriers to PGx implementation in clinical practice.
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Affiliation(s)
- Sandosh Padmanabhan
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Clea du Toit
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
| | - Anna F. Dominiczak
- BHF Glasgow Cardiovascular Research Centre, School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
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Sun B, Ma S, Xiao F, Luo J, Liu M, Liu W, Luo Z. Integrated analysis of clinical and genetic factors on the interindividual variation of warfarin anticoagulation efficacy in clinical practice. BMC Cardiovasc Disord 2023; 23:279. [PMID: 37254053 DOI: 10.1186/s12872-023-03321-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 05/25/2023] [Indexed: 06/01/2023] Open
Abstract
AIM The anticoagulation effect of warfarin is usually evaluated by percentage of time in therapeutic range (PTTR), which is negatively correlated with the risk of warfarin adverse reactions. This study aimed to explore the effects of genetic and nongenetic factors on anticoagulation efficacy of warfarin during different therapeutic range. METHODS We conducted an observational retrospective study aiming at evaluating the impact of clinical and genetic factors on PTTR from initial to more than six months treatment. This analysis included patients with heart valve replace (HVR) surgery who underwent long-term or life-long time treatment with standard-dose warfarin for anticoagulation control in Second Xiangya Hospital. All patients were followed for at least 6 months. We genotyped single nucleotide polymorphisms in VKORC1 and CYP2C9 associated with altered warfarin dose requirements and tested their associations with PTTR. RESULTS A total of 629 patients with intact clinical data and available genotype data were enrolled in this study, and only 38.63% patients achieved good anticoagulation control (PTTR > 0.6). Clinical factors, including male gender, older age, overweight, AVR surgery and stroke history, were associated with higher PTTR. Patients with VKORC1 -1639AA genotype had significantly higher PTTR level compared with GA/GG genotype carriers only in the first month of treatment. Patients with CYP2C9*3 allele had higher PTTR compared with CYP2C9*1*1 carriers. Moreover, compared with VKORC1 -1639 AG/GG carriers, INR > 4 was more likely to be present in patients with AA genotype. The frequency of CYP2C9*1*3 in patients with INR > 4 was significantly higher than these without INR > 4. CONCLUSION We confirmed the relevant factors of warfarin anticoagulation control, including genetic factors (VKORC1 -1639G > A and CYP2C9*3 polymorphisms) and clinical factors (male gender, older age, overweight, AVR surgery and stroke history), which could be helpful to individualize warfarin dosage and improve warfarin anticoagulation control during different treatment period.
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Affiliation(s)
- Bao Sun
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, No.139, People's Middle Street, Furong District, Changsha City, 40013, Hunan Porv., China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Siqing Ma
- Department of Pharmacy, Hunan Institute for Tuberculosis Control, Changsha, China
- Department of Pharmacy, Hunan Chest Hospital, Changsha, China
| | - Feiyan Xiao
- Center for Clinical Trial and Research, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Jianquan Luo
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, No.139, People's Middle Street, Furong District, Changsha City, 40013, Hunan Porv., China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Mouze Liu
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, No.139, People's Middle Street, Furong District, Changsha City, 40013, Hunan Porv., China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Wenhui Liu
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, No.139, People's Middle Street, Furong District, Changsha City, 40013, Hunan Porv., China
- Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Zhiying Luo
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, No.139, People's Middle Street, Furong District, Changsha City, 40013, Hunan Porv., China.
- Institute of Clinical Pharmacy, Central South University, Changsha, China.
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Gao W, Zhang Z, Guan Z, Chen W, Li Z. Developing Chinese race-specific warfarin dose prediction algorithms. Int J Clin Pharm 2023:10.1007/s11096-023-01565-1. [PMID: 36991222 DOI: 10.1007/s11096-023-01565-1] [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: 01/01/2023] [Accepted: 02/24/2023] [Indexed: 03/31/2023]
Abstract
BACKGROUND Numerous genotype-guided warfarin dosing algorithms have been developed to individualize warfarin doses, but they can only explain 47-52% of the variability. AIM This study aimed to develop new warfarin algorithms suitable to predict the stable warfarin dose for the Chinese population and to compare their prediction performance with those of the most commonly used algorithms. METHOD Multiple linear regression analysis with the warfarin optimal dose (WOD), logarithm (log) WOD, 1/WOD, and [Formula: see text], respectively, as the dependent variables were performed to deduce a new warfarin algorithm (NEW-Warfarin). WOD was the stable dose that maintained the international normalized ratio (INR) within the target range (2.0-3.0). Three major genotype-guided warfarin dosing algorithms were selected and compared against NEW-Warfarin predictive performance using the mean absolute error (MAE). Furthermore, patients were divided into five groups according to warfarin indications [atrial fibrillation (AF), pulmonary embolism (PE), cardiac-related disease (CRD), deep vein thrombosis (DVT), and other diseases (OD)]. Multiple linear regression analyses were also performed for each group. RESULTS The regression equation with [Formula: see text] as the dependent variable had the highest coefficient of determination (R2 = 0.489). The NEW-Warfarin had the best predictive accuracy compared to the three algorithms selected. Group analysis, according to indications, showed that the R2 of the five groups were PE (0.902) > DVT (0.608) > CRD (0.569) > OD (0.436) > AF (0.424). CONCLUSION Dosing algorithms based on warfarin indications are more suitable for predicting warfarin doses. Our research provides a novel strategy to develop indication-specific warfarin dosing algorithms to improve the efficacy and safety of warfarin prescribing.
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Affiliation(s)
- Weiqi Gao
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, 99 Longcheng Street, Taiyuan, 030032, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zhijiao Zhang
- School of Pharmacy, Shanxi Medical University, Taiyuan, 030001, China
| | - Zhaobo Guan
- School of Pharmacy, Shanxi Medical University, Taiyuan, 030001, China
| | - Weihong Chen
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, 99 Longcheng Street, Taiyuan, 030032, China
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Zhihong Li
- Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, 99 Longcheng Street, Taiyuan, 030032, China.
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
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Zhang H, Alarcon C, Cavallari LH, Nutescu E, Carvill GL, Perera MA, Hernandez W. Genomewide Association Study Identifies Copy Number Variants Associated With Warfarin Dose Response and Risk of Venous Thromboembolism in African Americans. Clin Pharmacol Ther 2023; 113:624-633. [PMID: 36507737 PMCID: PMC11238476 DOI: 10.1002/cpt.2820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022]
Abstract
The anticoagulant warfarin is commonly used to control and prevent thrombotic disorders, such as venous thromboembolism (VTE), which disproportionately afflicts African Americans. Despite the importance of copy number variants (CNVs), few studies have focused on characterizing and understanding their role in drug response and disease risk among African Americans. In this study, we conduct the first genome-wide analysis of CNVs to more comprehensively account for the contribution of genetic variation in warfarin dose requirement and VTE risk among African Americans. We used hidden Markov models to detect CNVs from high-throughput single-nucleotide polymorphism arrays for 340 African American participants in the International Warfarin Pharmacogenetics Consortium. We identified 11,570 CNVs resulting in 2,038 copy number variable regions (CNVRs) and found 3 CNVRs associated with warfarin dose requirement and 3 CNVRs associated with VTE risk in African Americans. CNVRs 1q31.2del and 6q14.1del were associated with increased warfarin dose requirement (β = 11.18 and 4.94, respectively; Pemp = < 0.002); CNVR 19p13.31del was associated with decreased warfarin dose requirement (β = -1.41, Pemp = 0.0004); CNVRs (2p22.1del and 5q35.1-q35.2del) were found to be associated with increased risk of VTE (odds ratios (ORs) = 1.88 and 14.9, respectively; Pemp ≤0.02); and CNVR 10q26.12del was associated with a decreased risk of VTE (OR = 0.6; Pemp = 0.05). Modeling of the 10q26.12del in HepG2 cells revealed that this deletion results in decreased fibrinogen gene expression, decreased fibrinogen and WDR11 protein levels, and decreased secretion of fibrinogen into the extracellular matrix. We found robust evidence that CNVRs could contribute to warfarin dose requirement and risk of VTE in African Americans and for 10q26.3del describe a possible pathogenic mechanism.
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Affiliation(s)
- Honghong Zhang
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Cristina Alarcon
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Edith Nutescu
- Department of Pharmacy Practice, College of Pharmacy, University of Illinois Chicago, Chicago, Illinois, USA
| | - Gemma L. Carvill
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Minoli A. Perera
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Wenndy Hernandez
- Section of Cardiology, University of Chicago, Chicago, Illinois, USA
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Zeng J, Shao J, Lin S, Zhang H, Su X, Lian X, Zhao Y, Ji X, Zheng Z. Optimizing the dynamic treatment regime of in-hospital warfarin anticoagulation in patients after surgical valve replacement using reinforcement learning. J Am Med Inform Assoc 2022; 29:1722-1732. [PMID: 35864720 DOI: 10.1093/jamia/ocac088] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Revised: 04/18/2022] [Accepted: 05/20/2022] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVE Warfarin anticoagulation management requires sequential decision-making to adjust dosages based on patients' evolving states continuously. We aimed to leverage reinforcement learning (RL) to optimize the dynamic in-hospital warfarin dosing in patients after surgical valve replacement (SVR). MATERIALS AND METHODS 10 408 SVR cases with warfarin dosage-response data were retrospectively collected to develop and test an RL algorithm that can continuously recommend daily warfarin doses based on patients' evolving multidimensional states. The RL algorithm was compared with clinicians' actual practice and other machine learning and clinical decision rule-based algorithms. The primary outcome was the ratio of patients without in-hospital INRs >3.0 and the INR at discharge within the target range (1.8-2.5) (excellent responders). The secondary outcomes were the safety responder ratio (no INRs >3.0) and the target responder ratio (the discharge INR within 1.8-2.5). RESULTS In the test set (n = 1260), the excellent responder ratio under clinicians' guidance was significantly lower than the RL algorithm: 41.6% versus 80.8% (relative risk [RR], 0.51; 95% confidence interval [CI], 0.48-0.55), also the safety responder ratio: 83.1% versus 99.5% (RR, 0.83; 95% CI, 0.81-0.86), and the target responder ratio: 49.7% versus 81.1% (RR, 0.61; 95% CI, 0.58-0.65). The RL algorithms performed significantly better than all the other algorithms. Compared with clinicians' actual practice, the RL-optimized INR trajectory reached and maintained within the target range significantly faster and longer. DISCUSSION RL could offer interactive, practical clinical decision support for sequential decision-making tasks and is potentially adaptable for varied clinical scenarios. Prospective validation is needed. CONCLUSION An RL algorithm significantly optimized the post-operation warfarin anticoagulation quality compared with clinicians' actual practice, suggesting its potential for challenging sequential decision-making tasks.
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Affiliation(s)
- Juntong Zeng
- National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, People's Republic of China.,State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, People's Republic of China.,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Jianzhun Shao
- Department of Automation, Tsinghua University, Beijing, People's Republic of China
| | - Shen Lin
- National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, People's Republic of China.,State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, People's Republic of China.,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.,Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, People's Republic of China
| | - Hongchang Zhang
- Department of Automation, Tsinghua University, Beijing, People's Republic of China
| | - Xiaoting Su
- National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, People's Republic of China.,State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, People's Republic of China.,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China
| | - Xiaocong Lian
- Department of Automation, Tsinghua University, Beijing, People's Republic of China.,Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, People's Republic of China
| | - Yan Zhao
- National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, People's Republic of China.,State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, People's Republic of China
| | - Xiangyang Ji
- Department of Automation, Tsinghua University, Beijing, People's Republic of China.,Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing, People's Republic of China
| | - Zhe Zheng
- National Clinical Research Center of Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, People's Republic of China.,State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, People's Republic of China.,Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.,Department of Cardiovascular Surgery, Fuwai Hospital, National Center for Cardiovascular Diseases, Beijing, People's Republic of China.,National Health Commission Key Laboratory of Cardiovascular Regenerative Medicine, Fuwai Central-China Hospital, Central-China Branch of National Center for Cardiovascular Diseases, Zhengzhou, People's Republic of China
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11
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Aoyama T, Hirai T, Tsuji Y, Miyamoto A, Itoh T, Iwamoto T, Matsumoto Y. External Evaluation of a Bayesian Warfarin Dose Optimization Based on a Kinetic-Pharmacodynamic Model. Biol Pharm Bull 2022; 45:136-142. [PMID: 34980775 DOI: 10.1248/bpb.b21-00778] [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: 11/22/2022]
Abstract
Warfarin is a representative anticoagulant with large interindividual variability. The published kinetic-pharmacodynamic (K-PD) model allows the prediction of warfarin dose requirement in Swedish patients; however, its applicability in Japanese patients is not known. We evaluated the model's predictive performance in Japanese patients with various backgrounds and relationships using Bayesian parameter estimation and sampling times. A single-center retrospective observational study was conducted at Tokyo Women's Medical University, Medical Center East. The study population consisted of adult patients aged >20 years who commenced warfarin with a prothrombin time-international normalized ratio (PT-INR) from June 2015 to June 2019. The published K-PD model modified by Wright and Duffull was assessed using prediction-corrected visual predictive checks, focusing on clinical characteristics, including age, renal function, and individual prediction error. The external dataset included 232 patients who received an initial warfarin daily dose of 3.2 ± 1.28 mg with 2278 PT-INR points (median [range] follow-up period of 23 d [7-28]). Prediction-corrected visual predictive checks carried a propensity for underprediction. Additionally, age >60 years, body mass index ≤25 kg/m2, and estimated glomerular filtration rate ≤60 mL/min/1.73 m2 had a pronounced tendency to underpredict PT-INR. However, Bayesian prediction using four prior observations reduced underprediction. To improve the prediction performance of these special populations, further studies are required to construct a model to predict warfarin dose requirements in Japanese patients.
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Affiliation(s)
- Takahiko Aoyama
- Laboratory of Clinical Pharmacokinetics, School of Pharmacy, Nihon University
| | - Toshinori Hirai
- Department of Pharmacy, Mie University Hospital, Faculty of Medicine, Mie University
| | - Yasuhiro Tsuji
- Center for Pharmacist Education, School of Pharmacy, Nihon University
| | - Aoi Miyamoto
- Laboratory of Clinical Pharmacokinetics, School of Pharmacy, Nihon University
| | - Toshimasa Itoh
- Department of Pharmacy, Tokyo Women's Medical University, Medical Center East
| | - Takuya Iwamoto
- Department of Pharmacy, Mie University Hospital, Faculty of Medicine, Mie University
| | - Yoshiaki Matsumoto
- Laboratory of Clinical Pharmacokinetics, School of Pharmacy, Nihon University
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12
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Abd Alridha A, Al-Gburi K, Abbood S. Warfarin therapy and pharmacogenetics: A narrative review of regional and Iraqi studies. MEDICAL JOURNAL OF BABYLON 2022. [DOI: 10.4103/mjbl.mjbl_70_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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13
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Babayeva M, Azzi B, Loewy ZG. Pharmacogenomics Informs Cardiovascular Pharmacotherapy. Methods Mol Biol 2022; 2547:201-240. [PMID: 36068466 DOI: 10.1007/978-1-0716-2573-6_9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Precision medicine exemplifies the emergence of personalized treatment options which may benefit specific patient populations based upon their genetic makeup. Application of pharmacogenomics requires an understanding of how genetic variations impact pharmacokinetic and pharmacodynamic properties. This particular approach in pharmacotherapy is helpful because it can assist in and improve clinical decisions. Application of pharmacogenomics to cardiovascular pharmacotherapy provides for the ability of the medical provider to gain critical knowledge on a patient's response to various treatment options and risk of side effects.
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Affiliation(s)
| | | | - Zvi G Loewy
- Touro College of Pharmacy, New York, NY, USA.
- School of Medicine, New York Medical College, Valhalla, NY, USA.
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14
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Godoy LC, Tomlinson G, Abumuamar AM, Farkouh ME, Rudolph M, Billia F, Cohn I, Marcus G, Kim RH, Rao V, Lawler PR. Association between time to therapeutic INR and length of stay following mechanical heart valve surgery. J Card Surg 2021; 37:62-69. [PMID: 34662458 DOI: 10.1111/jocs.16083] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 10/08/2021] [Accepted: 10/09/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Warfarin is the only oral anticoagulant approved for use following mechanical valve surgery (MeVS). Patients may experience prolonged hospital length of stay (LOS) following MeVS awaiting an appropriate warfarin effect. We aimed to determine whether an association exists between time to achieve the first therapeutic international normalized ratio (INR) and LOS following MeVS. MATERIALS AND METHODS Retrospective single center cohort study. We included consecutive adult patients undergoing elective MeVS from 2013 to 2018. Landmark analyses and multivariable regression with time-updated INR were used to estimate the association between time to therapeutic INR (TTI) and LOS. RESULTS Among 384 patients (median age: 51 years, interquartile range [IQR]: 41-57; 58.3% male), the median TTI was 4 days (IQR: 2-5). Thirty seven percent of patients were discharged with a subtherapeutic INR, many on bridging anticoagulation or with an INR close to target. Those achieving therapeutic INR had an increased rate of hospital discharge (adjusted hazard ratio: 2.17; 95% confidence interval: 1.71-2.76; p < .0001). Attainment of a therapeutic INR anytime between postoperative Days 4 and 13 was significantly associated with a shorter LOS. CONCLUSIONS Prolonged time to achieve a therapeutic INR was independently associated with prolonged LOS. Future strategies aimed at improving attainment of therapeutic INR following MeVS may reduce hospital LOS.
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Affiliation(s)
- Lucas C Godoy
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada.,Instituto do Coracao (InCor), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Sao Paulo, Brazil
| | - George Tomlinson
- Biostatistics Research Unit, Toronto General Hospital Research Institute, University of Toronto, Toronto, Ontario, Canada
| | - Asmaa M Abumuamar
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Michael E Farkouh
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Madeleine Rudolph
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Filio Billia
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Iris Cohn
- Division of Clinical Pharmacology and Toxicology, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Gil Marcus
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada.,Department of Cardiology, Shamir Medical Center, Zeriffin, Israel.,Schulich Heart Program, Division of Cardiology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
| | - Raymond H Kim
- Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Ted Rogers Centre for Heart Research, University of Toronto, Toronto, Ontario, Canada.,Division of Medical Oncology and Hematology, University Health Network, Sinai Health System, Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Vivek Rao
- Division of Cardiovascular Surgery, Peter Munk Cardiac Centre, University of Toronto, Toronto, Ontario, Canada
| | - Patrick R Lawler
- Division of Cardiology, Peter Munk Cardiac Centre, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada.,Division of Cardiology and Interdepartmental Division of Critical Care Medicine, University of Toronto, Toronto, Ontario, Canada
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15
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Xia X, Fu J, Wu T, Chen W, Jiang S, Lv M, Zhang J. Effect of gene polymorphism on bleeding complications in Chinese Han patients taking warfarin. Eur J Clin Pharmacol 2021; 78:205-214. [PMID: 34596727 DOI: 10.1007/s00228-021-03204-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Accepted: 08/12/2021] [Indexed: 11/27/2022]
Abstract
PURPOSE The purpose of this study was to analyse the effects of demographic factors, clinical factors, and genetic polymorphisms of related gene loci on warfarin bleeding-related complications in the Han population. METHODS Retrospective medical record review. The study cases were patients treated at the Fujian Medical University Union Hospital from March 2016 to February 2020, and all received regular warfarin anticoagulation treatment for at least 3 months, and were provided the initial standard dose and stable dose of warfarin. RESULTS Data were collected from 451 qualifying patients (47% male, 53% female). The average age of patients was 53.8 ± 12.2 years, and the average body surface area was 1.6 ± 0.18 m2. There were nine major bleeding events and 141 minor bleeding events. In the univariate logistic analysis, the p-value of the four factors body weight, body surface area (BSA), amiodarone, and rs429358 was < 0.10. However, the final p-values for amiodarone and rs429358 were < 0.05 in the multifactorial logistic analysis. CONCLUSIONS The ApoE (rs429358) gene polymorphism influences bleeding complications in Chinese Han patients treated with warfarin. The sample size of this study was relatively small; hence an international study with a larger sample size is needed in the future.
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Affiliation(s)
- Xiaotong Xia
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Jinglan Fu
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Tingting Wu
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Wenjun Chen
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Shaojun Jiang
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Meina Lv
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China
| | - Jinhua Zhang
- Department of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
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16
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Abstract
Over the past decade, pharmacogenetic testing has emerged in clinical practice to guide selected cardiovascular therapies. The most common implementation in practice is CYP2C19 genotyping to predict clopidogrel response and assist in selecting antiplatelet therapy after percutaneous coronary intervention. Additional examples include genotyping to guide warfarin dosing and statin prescribing. Increasing evidence exists on outcomes with genotype-guided cardiovascular therapies from multiple randomized controlled trials and observational studies. Pharmacogenetic evidence is accumulating for additional cardiovascular medications. However, data for many of these medications are not yet sufficient to support the use of genotyping for drug prescribing. Ultimately, pharmacogenetics might provide a means to individualize drug regimens for complex diseases such as heart failure, in which the treatment armamentarium includes a growing list of medications shown to reduce morbidity and mortality. However, sophisticated analytical approaches are likely to be necessary to dissect the genetic underpinnings of responses to drug combinations. In this Review, we examine the evidence supporting pharmacogenetic testing in cardiovascular medicine, including that available from several clinical trials. In addition, we describe guidelines that support the use of cardiovascular pharmacogenetics, provide examples of clinical implementation of genotype-guided cardiovascular therapies and discuss opportunities for future growth of the field.
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Affiliation(s)
- Julio D Duarte
- Center for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, USA
| | - Larisa H Cavallari
- Center for Pharmacogenomics and Precision Medicine and Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, USA.
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17
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Gao W, Li Z, Chen W, Zhang S. Performance Evaluation of Warfarin Dose Prediction Algorithms and Effects of Clinical Factors on Warfarin Dose in Chinese Patients. Ther Drug Monit 2021; 43:527-535. [PMID: 34250965 DOI: 10.1097/ftd.0000000000000880] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 02/06/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND The clinical utility of warfarin dose prediction algorithms remains controversial, our purpose is to evaluate the performance of warfarin dose prediction algorithms and the effects of clinical factors on warfarin dose in Chinese patients. METHODS Clinical data of 217 patients who received warfarin treatment were used to assess 6 warfarin dose prediction algorithms (OHNO, IWPC [International Warfarin Pharmacogenetics Consortium], HUANG, KIM, BRESS, and MIAO). The predicted dose (PD) was compared with the warfarin optimal dose (WOD, defined as the dose that maintains the international normalized ratio within the target range of 2.0-3.0). A multiple regression analysis with WOD as the dependent variable was performed to evaluate the effects of clinical factors on warfarin dose. RESULTS The mean absolute error analysis ranked the predictive accuracies of the algorithms as OHNO > IWPC > HUANG > KIM > BRESS > MIAO. Stratified analysis indicated that HUANG most accurately predicted that patients required lower WODs (≤3 mg/d), whereas OHNO was the most effective in predicting medium WODs (3-5 mg/d). KIM was effective in predicting high WODs (>5 mg/d). Multiple linear regression analysis showed that VKORC1 (rs9923231) and body mass index were significantly positively correlated with WOD, whereas concurrent atrial fibrillation status, CYP2C9*3 (rs1057910), and sex were significantly negatively correlated with WOD. CONCLUSIONS In Chinese patients, OHNO should be given priority during the prediction and selection of warfarin dose. When using OHNO to predict warfarin dose (≤3 mg/d or >5 mg/d), HUANG or KIM algorithms can provide precise predictions. At the same time, physicians should pay close attention to clinical factors, such as VKORC1 (rs9923231), concurrent atrial fibrillation status, CYP2C9*3 (rs1057910), body mass index, and sex, to improve warfarin dose adjustment strategies in Chinese patients.
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Affiliation(s)
- Weiqi Gao
- School of Pharmacy, Shanxi Medical University, Taiyuan, China; and
- Department of Pharmacy, Shanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Zhihong Li
- Department of Pharmacy, Shanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Weihong Chen
- Department of Pharmacy, Shanxi Bethune Hospital, Third Hospital of Shanxi Medical University, Shanxi Academy of Medical Sciences, Taiyuan, China
| | - Shuqiu Zhang
- School of Pharmacy, Shanxi Medical University, Taiyuan, China; and
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18
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Impact of VKORC1, CYP2C9, and CYP4F2 Polymorphisms on Optimal Warfarin Dose: Does Ethnicity Matters? Am J Ther 2021; 28:e461-e468. [PMID: 34228652 DOI: 10.1097/mjt.0000000000000845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
BACKGROUND Conventional anticoagulation with warfarin remains the cornerstone strategy for numerous preventive strategies. It is established that Asian patients require lower warfarin doses than Caucasians potentially attributing to the genetic polymorphism (GP) differences. AREAS OF UNCERTAINTY The impact of GP on optimal warfarin dose (OWD) in Koreans is unclear when compared with other ethnicities. It is also not well established whether GP linked to OWD in Korean patients to the similar extend as in Chinese, Japanese, and Caucasians. DATA SOURCES Single-center prospective observational study in Koreans, matched with historic cohorts of other ethnicities. THERAPEUTIC ADVANCES Clinical characteristics, concomitant medications, OWD, international normalized ratio, and VKORC1, CYP2C9, and CYP4F2 GPs were assessed in consecutive Korean patients. The OWD was defined when patient's international normalized ratio was within target range for at least 3 consecutive times separated by 1 week. We included 133 (mean age 62.6 ± 12.1 years, 49% males) warfarin-treated patients of Korean descend. The mean OWD was 3.30 ± 1.34 (range: 1-9) mg/d. Homozygous wild-type patients required lower OWD (3.1 ± 1.1 mg/d vs. 4.7 ± 1.8 mg/d, P < 0.001) for VKORC1 and higher OWD for both CYP2C9 (3.4 ± 1.3 mg/d vs. 2.3 ± 1.1 mg/d, P = 0.002) and CYP4F2 (3.0 ± 1.2 mg/d vs. 3.4 ± 1.3 mg/d vs. 4.0 ± 1.7 mg/d, P = 0.033) than those carrying heterozygote genes. CONCLUSIONS Korean patients exhibit different VKORC1, CYP2C9, and CYP4F2 profiles impacting lower OWD in Eastern Asians than required in Caucasians. Universal international OWD guidelines may consider patient ethnicity as a confounder; however, this hypothesis needs further clarification.
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19
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McEvoy L, Carr DF, Pirmohamed M. Pharmacogenomics of NSAID-Induced Upper Gastrointestinal Toxicity. Front Pharmacol 2021; 12:684162. [PMID: 34234675 PMCID: PMC8256335 DOI: 10.3389/fphar.2021.684162] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2021] [Accepted: 05/11/2021] [Indexed: 12/19/2022] Open
Abstract
Non-steroidal anti-inflammatory drugs (NSAIDs) are a group of drugs which are widely used globally for the treatment of pain and inflammation, and in the case of aspirin, for secondary prevention of cardiovascular disease. Chronic non-steroidal anti-inflammatory drug use is associated with potentially serious upper gastrointestinal adverse drug reactions (ADRs) including peptic ulcer disease and gastrointestinal bleeding. A few clinical and genetic predisposing factors have been identified; however, genetic data are contradictory. Further research is needed to identify clinically relevant genetic and non-genetic markers predisposing to NSAID-induced peptic ulceration.
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Affiliation(s)
- L McEvoy
- Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, United Kingdom
| | - D F Carr
- Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, United Kingdom
| | - M Pirmohamed
- Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, United Kingdom
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20
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Bienfait K, Chhibber A, Marshall JC, Armstrong M, Cox C, Shaw PM, Paulding C. Current challenges and opportunities for pharmacogenomics: perspective of the Industry Pharmacogenomics Working Group (I-PWG). Hum Genet 2021; 141:1165-1173. [PMID: 34081195 PMCID: PMC9177658 DOI: 10.1007/s00439-021-02282-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 04/12/2021] [Indexed: 12/30/2022]
Abstract
Pharmaceutical companies have increasingly utilized genomic data for the selection of drug targets and the development of precision medicine approaches. Most major pharmaceutical companies routinely collect DNA from clinical trial participants and conduct pharmacogenomic (PGx) studies. However, the implementation of PGx studies during clinical development presents a number of challenges. These challenges include adapting to a constantly changing global regulatory environment, challenges in study design and clinical implementation, and the increasing concerns over patient privacy. Advances in the field of genomics are also providing new opportunities for pharmaceutical companies, including the availability of large genomic databases linked to patient health information, the growing use of polygenic risk scores, and the direct sequencing of clinical trial participants. The Industry Pharmacogenomics Working Group (I-PWG) is an association of pharmaceutical companies actively working in the field of pharmacogenomics. This I-PWG perspective will provide an overview of the steps pharmaceutical companies are taking to address each of these challenges, and the approaches being taken to capitalize on emerging scientific opportunities.
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Affiliation(s)
| | - Aparna Chhibber
- Bristol Myers Squibb, Princeton, NJ, 08543, USA
- Merck & Co., Inc., Kenilworth, NJ, USA
| | | | | | - Charles Cox
- GSK - Medicines Research Centre, Gunnels Wood Road, Stevenage Hertfordshire, SG1 2NY, UK
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21
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Competitive tight-binding inhibition of VKORC1 underlies warfarin dosage variation and antidotal efficacy. Blood Adv 2021; 4:2202-2212. [PMID: 32433747 DOI: 10.1182/bloodadvances.2020001750] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 04/24/2020] [Indexed: 11/20/2022] Open
Abstract
Dose control of warfarin is a major complication in anticoagulation therapy and overdose is reversed by the vitamin K antidote. Improving the dosage management and antidotal efficacy requires mechanistic understanding. Here we find that effects of the major predictor of warfarin dosage, SNP -1639 G>A, follow a general correlation that warfarin 50% inhibitory concentration decreases with cellular level of vitamin K epoxide reductase (VKORC1), suggesting stoichiometric inhibition. Characterization of the inhibition kinetics required the use of microsomal VKORC1 with a native reductant, glutathione, that enables effective warfarin inhibition in vitro. The kinetics data can be fitted with the Morrison equation, giving a nanomolar inhibition constant and demonstrating that warfarin is a tight-binding inhibitor. However, warfarin is released from purified VKORC1-warfarin complex with increasing amount of vitamin K, indicating competitive inhibition. The competition occurs also in cells, resulting in rescued VKORC1 activity that augments the antidotal effects of vitamin K. Taken together, warfarin is a competitive inhibitor that binds VKORC1 tightly and inhibits at a stoichiometric (1:1) concentration, whereas exceeding the VKORC1 level results in warfarin overdose. Thus, warfarin dosage control should use VKORC1 level as a major indicator, and improved antidotes may be designed based on their competition with warfarin.
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22
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Abstract
Objective: We aimed to find crucial microRNAs (miRNAs) associated with the development of atrial fibrillation (AF), and then try to elucidate the possible molecular mechanisms of miRNAs in AF. Methods: The miRNA microarray, GSE68475, which included 10 right atrial appendage samples from patients with persistent AF and 11 samples from patients with normal sinus rhythm, was used for the analysis. After data preprocessing, differentially expressed miRNAs were screened using limma. Target genes of miRNAs were predicted using miRWalk2.0. We then conducted functional enrichment analyses for miRNA and target genes. Protein-protein interaction (PPI) network and module analyses for target genes were performed. Finally, transcription factors (TFs)-target genes regulatory network was predicted and constructed. Results: Seven genes, including CAMK2D, IGF2R, PPP2R2A, PAX6, POU3F2, YWHAE, and AP2A2, were targeted by TFs. Among these seven genes, CAMK2D (targeted by miR-31-5p), IGF2R (targeted by miR-204-5p), PAX6 (targeted by miR-223-3p), POU3F2 (targeted by miR-204-5p), YWHAE (targeted by miR-31-5p), and AP2A2 (targeted by miR-204-5p) belonged to the top 10 degree genes in the PPI network. Notably, MiR-204-5p, miR-31-5p, and miR-223-3p had more target genes. Besides, CAMK2D was enriched in some pathways, such as adrenergic signaling in cardiomyocytes pathway and cAMP signaling pathway. YWHAE was enriched in the Hippo signaling pathway. Conclusion: miR-31-5p played a crucial role in cardiomyocytes by targeting CAMK2D and YWHAE via cAMP and Hippo signaling pathways. miR-204 was involved in the progression of AF by regulating its target genes IGF2R, POU3F2, and AP2A2. On the other hand, miR-223-3p functioned in AF by targeting PAX6, which was associated with the regulation of apoptosis in AF. This study would provide a theoretical basis and potential therapeutic targets for the treatment of AF.
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Vuorinen AL, Lehto M, Niemi M, Harno K, Pajula J, van Gils M, Lähteenmäki J. Pharmacogenetics of Anticoagulation and Clinical Events in Warfarin-Treated Patients: A Register-Based Cohort Study with Biobank Data and National Health Registries in Finland. Clin Epidemiol 2021; 13:183-195. [PMID: 33727862 PMCID: PMC7954279 DOI: 10.2147/clep.s289031] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 01/19/2021] [Indexed: 01/22/2023] Open
Abstract
PURPOSE To assess the association between VKORC1 and CYP2C9 variants and the incidence of adverse drug reactions in warfarin-treated patients in a real-world setting. MATERIALS AND METHODS This was a register-based cohort study (PreMed) linking data from Finnish biobanks, national health registries and patient records between January 1st 2007 and June 30th 2018. The inclusion criteria were: 1) ≥18 years of age, 2) CYP2C9 and VKORC1 genotype information available, 3) a diagnosis of a cardiovascular disease, 4) at least one warfarin purchase, 5) regular INR tests. Eligible individuals were divided into two warfarin sensitivity groups; normal responders, and sensitive and highly sensitive responders based on their VKORC1 and CYP2C9 genotypes. The incidences of clinical events were compared between the groups using Cox regression models. RESULTS The cohort consisted of 2508 participants (45% women, mean age of 69 years), of whom 65% were categorized as normal responders and 35% sensitive or highly sensitive responders. Compared to normal responders, sensitive and highly sensitive responders had fewer INR tests below 2 (median: 33.3% vs 43.8%, 95% CI: -13.3%, -10.0%) and more above 3 (median: 18.2% vs 6.7%, 95% Cl: 8.3%, 10.8%). The incidence (per 100 patient-years) of bleeding outcomes was 5.4 for normal responders and 5.6 for the sensitive and highly sensitive responder group (HR=1.03, 95% CI: 0.74, 1.44). The incidence of thromboembolic outcomes was 4.9 and 7.8, respectively (HR=1.48, 95% CI: 1.08, 2.03). CONCLUSION In a real-world setting, genetically sensitive and highly sensitive responders to warfarin had more high INR tests and required a lower daily dose of warfarin than normal responders. However, the risk for bleeding events was not increased in sensitive and highly sensitive responders. Interestingly, the risk of thromboembolic outcomes was lower in normal responders compared to the sensitive and highly sensitive responders. TRIAL REGISTRATION NCT04001166.
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Affiliation(s)
| | - Mika Lehto
- Heart and Lung Center, Helsinki University Hospital, Helsinki, Finland
- University of Helsinki, Helsinki, Finland
| | - Mikko Niemi
- Department of Clinical Pharmacology and Individualized Drug Therapy Research Program, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Kari Harno
- Department of Health and Social Management, University of Eastern Finland, Kuopio, Finland
| | - Juha Pajula
- VTT Technical Research Centre of Finland, Tampere, Finland
| | - Mark van Gils
- VTT Technical Research Centre of Finland, Tampere, Finland
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24
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Li W. Targeting multiple enzymes in vitamin K metabolism for anticoagulation. J Thromb Haemost 2021; 19:633-636. [PMID: 33650246 PMCID: PMC8966952 DOI: 10.1111/jth.15212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 11/25/2020] [Accepted: 11/25/2020] [Indexed: 11/30/2022]
Affiliation(s)
- Weikai Li
- Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO 63110, USA
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25
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Tomek A, Růžičková T, Kaplan V, Lacinová Z, Kumstýřová S, Šrámek M, Olšerová A, Janský P, Kolářová T, Neumann J, Schwabová JP, Maťoška V. Pharmacogenetic algorithm for predicting daily dose of warfarin in Caucasian patients of Czech origin. Drug Metab Pers Ther 2020; 0:dmdi-2020-0171. [PMID: 33780197 DOI: 10.1515/dmdi-2020-0171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 11/21/2020] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Warfarin use is limited by a low therapeutic index and significant interindividual variability of the daily dose. The most important factor predicting daily warfarin dose is individual genotype, polymorphisms of genes CYP2C9 (warfarin metabolism) and VKORC1 (sensitivity for warfarin). Algorithms using clinical and genetic variables could predict the daily dose before the initiation of therapy. The aim of this study was to develop and validate an algorithm for the prediction of warfarin daily dose in Czech patients. METHODS Detailed clinical data of patients with known and stable warfarin daily dose were collected. All patients were genotyped for polymorphisms in genes CYP2C9 and VKORC1. RESULTS Included patients were divided into derivation (n=175) and validation (n=223) cohorts. The final algorithm includes the following variables: Age, height, weight, treatment with amiodarone and presence of variant alleles of genes CYP2C9 and VKORC1. The adjusted coefficient of determination is 72.4% in the derivation and 62.3% in the validation cohort (p<0.001). CONCLUSIONS Our validated algorithm for warfarin daily dose prediction in our Czech cohort had higher precision than other currently published algorithms. Pharmacogenetics of warfarin has the potential in the clinical practice in specialized centers.
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Affiliation(s)
- Aleš Tomek
- Department of Neurology, 2nd Faculty of Medicine, Charles University in Prague and Motol University Hospital, V Uvalu 84, Prague, Czech Republic
- Department of Clinical Biochemistry, Haematology and Immunology, Laboratory of Molecular Genetics, Hospital Na Homolce, Prague, Czech Republic
| | - Tereza Růžičková
- Department of Neurology, 2nd Faculty of Medicine, Charles University in Prague and Motol University Hospital, V Uvalu 84, Prague, Czech Republic
| | - Vojtěch Kaplan
- Department of Clinical Biochemistry, Haematology and Immunology, Laboratory of Molecular Genetics, Hospital Na Homolce, Prague, Czech Republic
| | - Zuzana Lacinová
- Department of Clinical Biochemistry, Haematology and Immunology, Laboratory of Molecular Genetics, Hospital Na Homolce, Prague, Czech Republic
| | - Simona Kumstýřová
- Department of Clinical Biochemistry, Haematology and Immunology, Laboratory of Molecular Genetics, Hospital Na Homolce, Prague, Czech Republic
| | - Martin Šrámek
- Department of Neurology, 2nd Faculty of Medicine, Charles University in Prague and Motol University Hospital, V Uvalu 84, Prague, Czech Republic
| | - Anna Olšerová
- Department of Neurology, 2nd Faculty of Medicine, Charles University in Prague and Motol University Hospital, V Uvalu 84, Prague, Czech Republic
| | - Petr Janský
- Department of Neurology, 2nd Faculty of Medicine, Charles University in Prague and Motol University Hospital, V Uvalu 84, Prague, Czech Republic
| | - Tereza Kolářová
- Department of Clinical Biochemistry, Haematology and Immunology, Laboratory of Molecular Genetics, Hospital Na Homolce, Prague, Czech Republic
| | - Jiří Neumann
- Department of Neurology, Chomutov Regional Hospital, Chomutov, Czech Republic
| | - Jaroslava Paulasová Schwabová
- Department of Neurology, 2nd Faculty of Medicine, Charles University in Prague and Motol University Hospital, V Uvalu 84, Prague, Czech Republic
| | - Václav Maťoška
- Department of Clinical Biochemistry, Haematology and Immunology, Laboratory of Molecular Genetics, Hospital Na Homolce, Prague, Czech Republic
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26
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Asiimwe IG, Zhang EJ, Osanlou R, Jorgensen AL, Pirmohamed M. Warfarin dosing algorithms: A systematic review. Br J Clin Pharmacol 2020; 87:1717-1729. [PMID: 33080066 PMCID: PMC8056736 DOI: 10.1111/bcp.14608] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/04/2020] [Accepted: 10/05/2020] [Indexed: 12/11/2022] Open
Abstract
Aims Numerous algorithms have been developed to guide warfarin dosing and improve clinical outcomes. We reviewed the algorithms available for various populations and the covariates, performances and risk of bias of these algorithms. Methods We systematically searched MEDLINE up to 20 May 2020 and selected studies describing the development, external validation or clinical utility of a multivariable warfarin dosing algorithm. Two investigators conducted data extraction and quality assessment. Results Of 10 035 screened records, 266 articles were included in the review, describing the development of 433 dosing algorithms, 481 external validations and 52 clinical utility assessments. Most developed algorithms were for dose initiation (86%), developed by multiple linear regression (65%) and mostly applicable to Asians (49%) or Whites (43%). The most common demographic/clinical/environmental covariates were age (included in 401 algorithms), concomitant medications (270 algorithms) and weight (229 algorithms) while CYP2C9 (329 algorithms), VKORC1 (319 algorithms) and CYP4F2 (92 algorithms) variants were the most common genetic covariates. Only 26% and 7% algorithms were externally validated and evaluated for clinical utility, respectively, with <2% of algorithm developments and external validations being rated as having a low risk of bias. Conclusion Most warfarin dosing algorithms have been developed in Asians and Whites and may not be applicable to under‐served populations. Few algorithms have been externally validated, assessed for clinical utility, and/or have a low risk of bias which makes them unreliable for clinical use. Algorithm development and assessment should follow current methodological recommendations to improve reliability and applicability, and under‐represented populations should be prioritized.
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Affiliation(s)
- Innocent G Asiimwe
- The Wolfson Centre for Personalized Medicine, MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, United Kingdom
| | - Eunice J Zhang
- The Wolfson Centre for Personalized Medicine, MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, United Kingdom
| | - Rostam Osanlou
- The Wolfson Centre for Personalized Medicine, MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, United Kingdom
| | - Andrea L Jorgensen
- Department of Biostatistics, Institute of Population Health Sciences, University of Liverpool, United Kingdom
| | - Munir Pirmohamed
- The Wolfson Centre for Personalized Medicine, MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, United Kingdom
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27
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Li D, Zhu H, Luo ZY, Chen Y, Song GB, Zhou XM, Yan H, Zhou HH, Zhang W, Li X. LRP1 polymorphisms associated with warfarin stable dose in Chinese patients: a stepwise conditional analysis. Pharmacogenomics 2020; 21:1169-1178. [PMID: 33094665 DOI: 10.2217/pgs-2020-0004] [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: 11/21/2022] Open
Abstract
Aim: The aim of this study was to investigate whether variability in warfarin stable dose (WSD) could be influenced by vitamin K-related polymorphisms in patients with heart valve replacement. Patients & methods: Twenty-nine vitamin K-related SNPs in 208 patients who initially took warfarin and achieved WSD were genotyped. Results: After conducting conditional analysis for both VKORC1 -1639G>A and CYP2C9*3, LRP1 rs1800139 and LRP1 rs1800154 were significantly associated with WSD (p = 0.007 and p = 0.015, respectively). Multivariate analysis showed that LRP1 rs1800139 accounted for 5.9% WSD variability. Conclusion: Our results suggest that a novel vitamin K-related gene, LRP1, exerts a relevant influence on WSD, independent of VKORC1 -1639G>A and CYP2C9*3.
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Affiliation(s)
- Dan Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China.,Department of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, PR China
| | - Hong Zhu
- Department of Cardiovascular Surgery, Xiangya Hospital, Central South University, Changsha, 410008, PR China
| | - Zhi-Ying Luo
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, 410011, PR China
| | - Yi Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China.,Department of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, PR China
| | - Guo-Bao Song
- Department of Cardio-Thoracic Surgery, the Second Xiangya Hospital, Central South University, Changsha, 410011, PR China
| | - Xin-Ming Zhou
- Department of Cardio-Thoracic Surgery, the Second Xiangya Hospital, Central South University, Changsha, 410011, PR China
| | - Han Yan
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, 410011, PR China
| | - Hong-Hao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China.,Department of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China.,Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, PR China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China.,Department of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China.,Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, PR China
| | - Xi Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China.,Department of Neurosurgery, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, PR China.,Department of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, PR China.,Institute of Clinical Pharmacology, Central South University; Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, PR China
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28
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Sridharan K, Al Banna R, Qader AM, Husain A. Evaluation of inter-patient variability in the pharmacodynamic indices of warfarin. Expert Rev Cardiovasc Ther 2020; 18:835-840. [DOI: 10.1080/14779072.2020.1814144] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Affiliation(s)
- Kannan Sridharan
- Department of Pharmacology & Therapeutics, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain
| | - Rashed Al Banna
- Department of Cardiology, Salmaniya Medical Complex, Ministry of Health, Manama, Kingdom of Bahrain
| | - Ali Mohamed Qader
- College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Kingdom of Bahrain
| | - Aysha Husain
- Department of Cardiology, Salmaniya Medical Complex, Ministry of Health, Manama, Kingdom of Bahrain
- RCSI-Bahrain, Manama, Kingdom of Bahrain
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29
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Xie C, Xue L, Zhang Y, Zhu J, Zhou L, Hang Y, Ding X, Jiang B, Miao L. Comparison of the prediction performance of different warfarin dosing algorithms based on Chinese patients. Pharmacogenomics 2020; 21:23-32. [PMID: 31849278 DOI: 10.2217/pgs-2019-0124] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Aim: To compare the prediction performance of different warfarin dosing algorithms based on Chinese patients. Materials & methods: A total of 18 algorithms were tested in 325 patients. The predictive efficacy of selected algorithms was evaluated by calculating the percentage of patients whose predicted dose fell within ±20% of their actual stable warfarin dose and the mean absolute error. Results: The percentage within ± 20% and the mean absolute error of the algorithms ranged from 11.9 to 41.2% and -0.20 (-0.29 to -0.11) mg/d to -1.63 (-1.75 to -1.50) mg/d. The algorithms established by Miao et al. and Wei et al. had optimal predictive performance. Conclusion: Algorithms based on geographical populations might be more suitable for the prediction of stable warfarin doses in local patients.
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Affiliation(s)
- Cheng Xie
- Department of Clinical Pharmacology, The First Affiliated Hospital of Soochow University, Suzhou 215006, PR China
| | - Ling Xue
- Department of Clinical Pharmacology, The First Affiliated Hospital of Soochow University, Suzhou 215006, PR China
| | - Yuzhen Zhang
- Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou 215006, PR China
| | - Jianguo Zhu
- Department of Clinical Pharmacology, The First Affiliated Hospital of Soochow University, Suzhou 215006, PR China
| | - Ling Zhou
- Department of Clinical Pharmacology, The First Affiliated Hospital of Soochow University, Suzhou 215006, PR China
| | - Yongfu Hang
- Department of Clinical Pharmacology, The First Affiliated Hospital of Soochow University, Suzhou 215006, PR China
| | - Xiaoliang Ding
- Department of Clinical Pharmacology, The First Affiliated Hospital of Soochow University, Suzhou 215006, PR China
| | - Bin Jiang
- Department of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou 215006, PR China
| | - Liyan Miao
- Department of Clinical Pharmacology, The First Affiliated Hospital of Soochow University, Suzhou 215006, PR China
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30
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Warfarin pharmacogenetics in patients with heart valve replacement. GENE REPORTS 2020. [DOI: 10.1016/j.genrep.2020.100769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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31
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Li Y, Yu J, Kuang Y, Wu C, Yang L, Fang Q, Pei Q, Yang G. Quality of oral anticoagulation control in Chinese patients with non-valvular atrial fibrillation: a prospective controlled study. Curr Med Res Opin 2020; 36:1433-1439. [PMID: 32677855 DOI: 10.1080/03007995.2020.1796611] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OBJECTIVE The sex, age, medical history, treatment, tobacco use, race risk (SAMe-TT2R2) Score; the sex, age, medical history, treatment, tobacco use, genotype combination (SAMe-TT2G2) Score; and the so-called modified SAMe-TT2R2 scores have been proposed to predict the anticoagulation quality for patients with non-valvular atrial fibrillation (NVAF). The data from a prospective controlled study is used to validate the SAMe-TT2R2 and SAMe-TT2G2 scores in Chinese NVAF patients treated with warfarin and to evaluate the association of factors with time in therapeutic range (TTR) to predict the quality of oral anticoagulation control. METHODS A total of 379 patients with NVAF under warfarin treatment for a three-month follow-up were included in this prospective, multicenter study. The quality of oral anticoagulation control was evaluated by the TTR. The TTR was dichotomized for binary logistic regression analysis, using a cutoff point for classification as an inadequate (TTR < 65.0%) control. RESULTS The 379 NVAF patients had a mean TTR of 58.35 ± 26.33% and median SAMe-TT2R2 and SAMe-TT2G2 scores of 3 and 2, respectively. The discrimination performances of the SAMe-TT2R2 and SAMe-TT2G2 scores for inadequate anticoagulation control (TTR < 65.0%) were poor (c-index < 0.60). The gene frequency of CYP2C9*3 was 3.2% and that of VKORC1-1639 G > A was 89.3%. Genetic variation of CYP2C9*3 and VKORC1-1639 G > A did not affect TTR after initial treatment. The condition TTR < 65.0% was associated with an age below 60 without genotype-guided warfarin dose initiation and concomitant torasemide. CONCLUSIONS A warfarin-dosing algorithm used for initial treatment of patients older than 60 helps to achieve a better quality of oral anticoagulation control, whereas concomitant torasemide can produce a negative effect. These findings provide useful information for future investigations on the quality of oral anticoagulation control in Chinese anticoagulation clinical practice.
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Affiliation(s)
- Yaqian Li
- Center for Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
- Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Jingjing Yu
- Center for Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Yun Kuang
- Center for Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Chengkun Wu
- State Key Laboratory of High Performance Computing, College of Computer, National University of Defense Technology, Changsha, China
| | - Liu Yang
- School of Mathematics and Statistics, Central South University, Changsha, China
| | - Qiulian Fang
- School of Mathematics and Statistics, Central South University, Changsha, China
| | - Qi Pei
- Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Guoping Yang
- Center for Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China
- Department of Pharmacy, The Third Xiangya Hospital, Central South University, Changsha, China
- Research Center of Drug Clinical Evaluation of Central South University, Changsha, China
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Hartmann S, Biliouris K, Lesko LJ, Nowak-Göttl U, Trame MN. Quantitative Systems Pharmacology Model-Based Predictions of Clinical Endpoints to Optimize Warfarin and Rivaroxaban Anti-Thrombosis Therapy. Front Pharmacol 2020; 11:1041. [PMID: 32765265 PMCID: PMC7381140 DOI: 10.3389/fphar.2020.01041] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Accepted: 06/26/2020] [Indexed: 11/25/2022] Open
Abstract
Background Tight monitoring of efficacy and safety of anticoagulants such as warfarin is imperative to optimize the benefit-risk ratio of anticoagulants in patients. The standard tests used are measurements of prothrombin time (PT), usually expressed as international normalized ratio (INR), and activated partial thromboplastin time (aPTT). Objective To leverage a previously developed quantitative systems pharmacology (QSP) model of the human coagulation network to predict INR and aPTT for warfarin and rivaroxaban, respectively. Methods A modeling and simulation approach was used to predict INR and aPTT measurements of patients receiving steady-state anticoagulation therapy. A previously developed QSP model was leveraged for the present analysis. The effect of genetic polymorphisms known to influence dose response of warfarin (CYP2C9, VKORC1) were implemented into the model by modifying warfarin clearance (CYP2C9 *1: 0.2 L/h; *2: 0.14 L/h, *3: 0.04 L/h) and the concentration of available vitamin K (VKORC1 GA: −22% from normal vitamin K concentration; AA: −44% from normal vitamin K concentration). Virtual patient populations were used to assess the ability of the model to accurately predict routine INR and aPTT measurements from patients under long-term anticoagulant therapy. Results The introduced model accurately described the observed INR of patients receiving long-term warfarin treatment. The model was able to demonstrate the influence of genetic polymorphisms of CYP2C9 and VKORC1 on the INR measurements. Additionally, the model was successfully used to predict aPTT measurements for patients receiving long-term rivaroxaban therapy. Conclusion The QSP model accurately predicted INR and aPTT measurements observed during routine therapeutic drug monitoring. This is an exemplar of how a QSP model can be adapted and used as a model-based precision dosing tool during clinical practice and drug development to predict efficacy and safety of anticoagulants to ultimately help optimize anti-thrombotic therapy.
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Affiliation(s)
- Sonja Hartmann
- Center for Pharmacometrics & Systems Pharmacology, Department of Pharmaceutics, University of Florida, Orlando, FL, United States
| | - Konstantinos Biliouris
- Center for Pharmacometrics & Systems Pharmacology, Department of Pharmaceutics, University of Florida, Orlando, FL, United States
| | - Lawrence J Lesko
- Center for Pharmacometrics & Systems Pharmacology, Department of Pharmaceutics, University of Florida, Orlando, FL, United States
| | - Ulrike Nowak-Göttl
- Thrombosis & Hemostasis Treatment Center, Institute of Clinical Chemistry, University of Schleswig-Holstein, Germany
| | - Mirjam N Trame
- Center for Pharmacometrics & Systems Pharmacology, Department of Pharmaceutics, University of Florida, Orlando, FL, United States
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Guo C, Kuang Y, Zhou H, Yuan H, Pei Q, Li J, Jiang W, Ng CM, Chen X, Huo Y, Cui Y, Wang X, Yu J, Sun X, Yu W, Chen P, Miao D, Liu W, Yu Z, Ouyang Z, Shi X, Lv C, Peng Z, Xiong G, Zeng G, Zeng J, Dai H, Peng J, Zhang Y, Xu F, Wu J, Chen X, Gong H, Yang Z, Wu X, Fang Q, Yang L, Li H, Tan H, Huang Z, Tang X, Yang Q, Tu S, Wang X, Xiang Y, Huang J, Wang X, Cai J, Jiang S, Huang L, Peng J, Gong L, Zou C, Yang G. Genotype-Guided Dosing of Warfarin in Chinese Adults: A Multicenter Randomized Clinical Trial. CIRCULATION-GENOMIC AND PRECISION MEDICINE 2020; 13:e002602. [PMID: 32510984 PMCID: PMC7439928 DOI: 10.1161/circgen.119.002602] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
BACKGROUND Warfarin is an effective treatment for thromboembolic disease but has a narrow therapeutic index; optimal anticoagulation dosage can differ tremendously among individuals. We aimed to evaluate whether genotype-guided warfarin dosing is superior to routine clinical dosing for the outcomes of interest in Chinese patients. METHODS We conducted a multicenter, randomized, single-blind, parallel-controlled trial from September 2014 to April 2017 in 15 hospitals in China. Eligible patients were ≥18 years of age, with atrial fibrillation or deep vein thrombosis without previous treatment of warfarin or a bleeding disorder. Nine follow-up visits were performed during the 12-week study period. The primary outcome measure was the percentage of time in the therapeutic range of the international normalized ratio during the first 12 weeks after starting warfarin therapy. RESULTS A total of 660 participants were enrolled and randomly assigned to a genotype-guided dosing group or a control group under standard dosing. The genotype-guided dosing group had a significantly higher percentage of time in the therapeutic range than the control group (58.8% versus 53.2% [95% CI of group difference, 1.1-10.2]; P=0.01). The genotype-guided dosing group also achieved the target international normalized ratio sooner than the control group. In subgroup analyses, warfarin normal sensitivity group had an even higher percentage of time in the therapeutic range during the first 12 weeks compared with the control group (60.8% versus 48.9% [95% CI, 1.1-24.4]). The incidence of adverse events was low in both groups. CONCLUSIONS The outcomes of genotype-guided warfarin dosing were superior to those of clinical standard dosing. These findings raise the prospect of precision warfarin treatment in China. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT02211326.
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Affiliation(s)
- Chengxian Guo
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China.,Department of Pharmacy (C.G., Q.P., L.H., Jinfu Peng, G.Y.), Central South University, Changsha, China.,Research Center of Drug Clinical Evaluation (C.G., Y.K., G.Y.), Central South University, Changsha, China
| | - Yun Kuang
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China.,Research Center of Drug Clinical Evaluation (C.G., Y.K., G.Y.), Central South University, Changsha, China
| | - Honghao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital (H.Z., Xiaoping Chen), Central South University, Changsha, China
| | - Hong Yuan
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Qi Pei
- Department of Pharmacy (C.G., Q.P., L.H., Jinfu Peng, G.Y.), Central South University, Changsha, China
| | - Jingle Li
- Department of Cardiology, The Third Xiangya Hospital (J.L., W.J., X.T., Q.Y., S.T., Xiaoyan Wang, J.C., S.J.), Central South University, Changsha, China
| | - Weihong Jiang
- Department of Cardiology, The Third Xiangya Hospital (J.L., W.J., X.T., Q.Y., S.T., Xiaoyan Wang, J.C., S.J.), Central South University, Changsha, China
| | - Chee M Ng
- College of Pharmacy, University of Kentucky, Lexington (C.M.N.)
| | - Xiaoping Chen
- Department of Clinical Pharmacology, Xiangya Hospital (H.Z., Xiaoping Chen), Central South University, Changsha, China.,Institute of Clinical Pharmacology, Hunan Key Laboratory of Pharmacogenetics (Xiaoping Chen)
| | - Yong Huo
- Department of Cardiology (Y.H.), Peking University Health Science Center, Beijing, China
| | - Yimin Cui
- Department of Pharmacy, Peking University First Hospital (Y.C.), Peking University Health Science Center, Beijing, China.,Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Sciences (Y.C.), Peking University Health Science Center, Beijing, China
| | - Xiaobin Wang
- Department of Population, Family and Reproductive Health, Center on the Early Life Origins of Disease, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD (Xiaobin Wang).,Division of General Pediatrics and Adolescent Medicine, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD (Xiaobin Wang)
| | - Jingjing Yu
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Xue Sun
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Wanying Yu
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Peng Chen
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Da Miao
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Wenyu Liu
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Zaixin Yu
- Department of Cardiology, Third Hospital of Changsha, China (Y.Z.)
| | - Zewei Ouyang
- Department of Cardiology, Shaoyang Central Hospital, China (Z.O., X. Shi)
| | - Xiangjiang Shi
- Department of Cardiology, Shaoyang Central Hospital, China (Z.O., X. Shi)
| | - Chunmei Lv
- Department of Cardiology, The First People's Hospital of Shaoyang, China (C.L., Z.P.)
| | - Zijing Peng
- Department of Cardiology, The First People's Hospital of Shaoyang, China (C.L., Z.P.)
| | - Guozuo Xiong
- Department of Vascular Surgery (G.X.), The Second Affiliated Hospital, University of South China, Hengyang
| | - Gaofeng Zeng
- Department of Cardiology (G.Z.), The Second Affiliated Hospital, University of South China, Hengyang
| | - Jianping Zeng
- Department of Cardiology, Xiangtan Central Hospital, China (J.Z.)
| | - Haiying Dai
- Department of Cardiology, Changsha Central Hospital, China (H.D.)
| | - Jianqiang Peng
- Department of Cardiology, Hunan Provincial People's Hospital, China (Jianqiang Peng)
| | - Yuming Zhang
- Department of Cardiology, Third Hospital of Changsha, China (Y.Z.)
| | - Fanghua Xu
- Department of Cardiology, First People's Hospital of Xiangtan City, China (F.X.)
| | - Jie Wu
- Department of Cardiology, First Affiliated Hospital of University of South China, Hengyang (J.W.)
| | - Xiaoliang Chen
- Department of Cardiology, Chenzhou First People's Hospital, China (Xiaoliang Chen)
| | - Hao Gong
- Department of Cardiology, The Fourth Hospital of Changsha, China (H.G.)
| | - Zhiyuan Yang
- Department of Cardiology, Loudi Central Hospital, China (Z. Yang)
| | - Xianming Wu
- Department of Cardiology, Yiyang Central Hospital, China (X. Wu)
| | - Qiulian Fang
- School of Mathematics and Statistics (Q.F., L.Y.), Central South University, Changsha, China
| | - Liu Yang
- School of Mathematics and Statistics (Q.F., L.Y.), Central South University, Changsha, China
| | - Haigang Li
- Department of Pharmacy, Changsha Medical University, China (H.L.)
| | - Hongyi Tan
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Zhijun Huang
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Xiaohong Tang
- Department of Cardiology, The Third Xiangya Hospital (J.L., W.J., X.T., Q.Y., S.T., Xiaoyan Wang, J.C., S.J.), Central South University, Changsha, China
| | - Qiong Yang
- Department of Cardiology, The Third Xiangya Hospital (J.L., W.J., X.T., Q.Y., S.T., Xiaoyan Wang, J.C., S.J.), Central South University, Changsha, China
| | - Shan Tu
- Department of Cardiology, The Third Xiangya Hospital (J.L., W.J., X.T., Q.Y., S.T., Xiaoyan Wang, J.C., S.J.), Central South University, Changsha, China
| | - Xiaoyan Wang
- Department of Cardiology, The Third Xiangya Hospital (J.L., W.J., X.T., Q.Y., S.T., Xiaoyan Wang, J.C., S.J.), Central South University, Changsha, China
| | - Yuxia Xiang
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Jie Huang
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Xiaomin Wang
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Jingjing Cai
- Department of Cardiology, The Third Xiangya Hospital (J.L., W.J., X.T., Q.Y., S.T., Xiaoyan Wang, J.C., S.J.), Central South University, Changsha, China
| | - Shanjie Jiang
- Department of Cardiology, The Third Xiangya Hospital (J.L., W.J., X.T., Q.Y., S.T., Xiaoyan Wang, J.C., S.J.), Central South University, Changsha, China
| | - Lu Huang
- Department of Pharmacy (C.G., Q.P., L.H., Jinfu Peng, G.Y.), Central South University, Changsha, China
| | - Jinfu Peng
- Department of Pharmacy (C.G., Q.P., L.H., Jinfu Peng, G.Y.), Central South University, Changsha, China
| | - Liying Gong
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Chan Zou
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China
| | - Guoping Yang
- Center of Clinical Pharmacology, the Third Xiangya Hospital (C.G., Y.K., H.Y., J.Y., X. Sun, W.Y., P.C., D.M., W.L., H.T., Z.H., Y.X., J.H., Xiaomin Wang, L.G., C.Z., G.Y.), Central South University, Changsha, China.,Department of Pharmacy (C.G., Q.P., L.H., Jinfu Peng, G.Y.), Central South University, Changsha, China.,Research Center of Drug Clinical Evaluation (C.G., Y.K., G.Y.), Central South University, Changsha, China
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Cho EH, Lee K, Yang M, Choi R, Baek SY, Sohn I, Kim JS, On YK, Bang OY, Cho HJ, Lee SY. Development and Validation of a Novel Warfarin Dosing Algorithm for Korean Patients With VKORC1 1173C. Ann Lab Med 2020; 40:216-223. [PMID: 31858761 PMCID: PMC6933054 DOI: 10.3343/alm.2020.40.3.216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2019] [Revised: 08/08/2019] [Accepted: 11/22/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Differences in the performance of suggested warfarin dosing algorithms among different ethnicities and genotypes have been reported; this necessitates the development of an algorithm with enhanced performance for specific population groups. Previous warfarin dosing algorithms underestimated warfarin doses in VKORC1 1173C carriers. We aimed to develop and validate a new warfarin dosing algorithm for Korean patients with VKORC1 1173C. METHODS A total of 109 patients carrying VKORC1 1173CT (N=105) or 1173CC (N=4) were included in this study. Multiple regression analysis was performed to deduce a new dosing algorithm. Following literature searches for genotype-guided warfarin dosing algorithms, 21 algorithms were selected and evaluated using the correlation coefficient (ρ) of actual dose and estimated dose, mean error, and root mean square error. RESULTS The developed algorithm is as follows: maintenance dose (mg/week)=exp [3.223-0.009×(age)+0.577×(body surface area [BSA])+0.178×(sex)-0.481×(CYP2C9 genotype)+0.227×(VKORC1 genotype)]. Integrated variables explained 44% of the variance in the maintenance dose. The predicted and actual doses showed moderate correlation (ρ=0.641) with the best performance with a mean error of -1.30 mg/week. The proportion of underestimated groups was 17%, which was lower than with the other algorithms. CONCLUSIONS This is the first study to develop and validate a warfarin dosing algorithm based on data from VKORC1 1173C carriers; it showed superior predictive performance compared with previously published algorithms.
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Affiliation(s)
- Eun Hye Cho
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyunghoon Lee
- Department of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Mina Yang
- Department of Laboratory Medicine, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea
| | - Rihwa Choi
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Department of Laboratory Medicine, Green Cross Laboratories, Yongin, Korea
| | - Sun Young Baek
- Statistics and Data Center, Samsung Medical Center, Seoul, Korea
| | - Insuk Sohn
- Statistics and Data Center, Samsung Medical Center, Seoul, Korea
| | - June Soo Kim
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Young Keun On
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Oh Young Bang
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hyun Jung Cho
- Department of Laboratory Medicine, Konyang University Hospital, Konyang University School of Medicine, Daejeon, Korea.
| | - Soo Youn Lee
- Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.,Department of Clinical Pharmacology & Therapeutics, Samsung Medical Center, Seoul, Korea.,Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.
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35
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Agrawal S, Heiss MS, Fenter RB, Abramova TV, Perera MA, Pacheco JA, Smith ME, Rasmussen-Torvik LJ, George AL. Impact of CYP2C9-Interacting Drugs on Warfarin Pharmacogenomics. Clin Transl Sci 2020; 13:941-949. [PMID: 32270628 PMCID: PMC7485961 DOI: 10.1111/cts.12781] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Accepted: 01/24/2020] [Indexed: 01/20/2023] Open
Abstract
Precise dosing of warfarin is important to achieve therapeutic benefit without adverse effects. Pharmacogenomics explains some interindividual variability in warfarin response, but less attention has been paid to drug‐drug interactions in the context of genetic factors. We investigated retrospectively the combined effects of cytochrome P450 (CYP)2C9 and vitamin K epoxide reductase complex (VKORC)1 genotypes and concurrent exposure to CYP2C9‐interacting drugs on long‐term measures of warfarin anticoagulation. Study participants predicted to be sensitive responders to warfarin based on CYP2C9 and VKORC1 genotypes, had significantly greater international normalized ratio (INR) variability over time. Participants who were concurrently taking CYP2C9‐interacting drugs were found to have greater INR variability and lesser time in therapeutic range. The associations of INR variability with genotype were driven by the subgroup not exposed to interacting drugs, whereas the effect of interacting drug exposure was driven by the subgroup categorized as normal responders. Our findings emphasize the importance of considering drug interactions in pharmacogenomic studies.
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Affiliation(s)
- Saaket Agrawal
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Meredith S Heiss
- Graduate Program in Genetic Counseling, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Remington B Fenter
- Graduate Program in Genetic Counseling, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Tatiana V Abramova
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Minoli A Perera
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.,Center for Pharmacogenomics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.,Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jennifer A Pacheco
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Maureen E Smith
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.,Department of Medicine, Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Laura J Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Alfred L George
- Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.,Center for Pharmacogenomics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.,Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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36
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Ndadza A, Thomford NE, Mukanganyama S, Wonkam A, Ntsekhe M, Dandara C. The Genetics of Warfarin Dose-Response Variability in Africans: An Expert Perspective on Past, Present, and Future. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2020; 23:152-166. [PMID: 30883300 DOI: 10.1089/omi.2019.0018] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Coumarins such as warfarin are prescribed for prevention and treatment of thromboembolic disorders. Warfarin remains the most widely prescribed and an anticoagulant of choice in Africa. Warfarin use is, however, limited by interindividual variability in pharmacokinetics and a narrow therapeutic index. The difference in patients' pharmacodynamic responses to warfarin has been attributed to genetic variation in warfarin metabolism and molecular targets (e.g., CYP2C9 and VKORC1) and host-environment interactions. This expert review offers a synthesis of human genetics studies in Africans with respect to pharmacogenetics-informed warfarin dosing. We identify areas that need future research attention or could benefit from harnessing existing pharmacogenetics knowledge toward rational and optimal therapeutics with warfarin in African patients. A literature search was conducted until January 2019. A total of 343 articles were retrieved from nine African countries: Botswana, Ethiopia, Egypt, Ghana, Kenya, South Africa, Sudan, Tanzania, and Mozambique. We found 19 studies on genetics of warfarin treatment specifically among Africans. Genes examined included CYP2C9, VKORC1, CYP4F2, APOE, CALU, GGCX, and EPHX1. CYP2C9*2 and *3 alleles were highly frequent among Egyptians, while rare in other African populations. CYP2C9*5, *8, *9, and *11, and VKORC1 Asp36Tyr genetic variants explained warfarin variability in Africans better, compared to CYP2C9*2 and *3. In Africa, there is limited pharmacogenetics data on warfarin. Therefore, future research and funding commitments should be prioritized to ensure safe and effective use of warfarin in Africa. Lessons learned in Africa from the science of pharmacogenetics would inform rational therapeutics in hematology, cardiology, and surgical specialties worldwide.
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Affiliation(s)
- Arinao Ndadza
- 1 Pharmacogenomics and Drug Metabolism Research Group, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Nicholas Ekow Thomford
- 1 Pharmacogenomics and Drug Metabolism Research Group, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | | | - Ambroise Wonkam
- 1 Pharmacogenomics and Drug Metabolism Research Group, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Mpiko Ntsekhe
- 3 Division of Cardiology, Department of Medicine, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Collet Dandara
- 1 Pharmacogenomics and Drug Metabolism Research Group, Division of Human Genetics, Department of Pathology, Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
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Shah RR. Genotype‐guided warfarin therapy: Still of only questionable value two decades on. J Clin Pharm Ther 2020; 45:547-560. [DOI: 10.1111/jcpt.13127] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Accepted: 02/07/2020] [Indexed: 12/20/2022]
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Brien L. Anticoagulant Medications for the Prevention and Treatment of Thromboembolism. AACN Adv Crit Care 2019; 30:126-138. [PMID: 31151944 DOI: 10.4037/aacnacc2019867] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Abstract
Venous thromboembolism is a preventable medical condition associated with significant morbidity and mortality. It can lead to deep vein thrombosis, pulmonary embolism, and stroke. Thrombi develop when intravascular conditions promote activation of the coagulation system or when there is an imbalance between endogenous anticoagulants and procoagulants. Such conditions include vascular injury, inflammation, venous stasis, and hypercoagulable states. Anticoagulant medications are indicated for the prevention and treatment of venous thromboembolism. They exert their effect on clotting factors to prevent the formation of thrombi or the propagation of an existing clot. Historically, anticoagulants were limited to heparins and vitamin K antagonists. Over the past 15 years, however, several new anticoagulant medications have been introduced. This article describes commonly prescribed and newer anticoagulants available to health care professionals, including their mechanism of action, therapeutic use, unique characteristics, and available reversal agents in the event of life-threatening bleeding.
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Affiliation(s)
- Lori Brien
- Lori Brien is Acute Care Nurse Practitioner, Cardiovascular and Thoracic Surgery, Virginia Hospital Center, Arlington, Virginia, and Assistant Program Director, School of Nursing and Health Studies, Adult Gerontology Acute Care Nurse Practitioner Program, Georgetown University, 3700 Reservoir Rd NW, Washington, DC 20057
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Liu Y, Zhang R, Li Z, Zhou J, Yang T, Yang C, Huang X, Zhang Y, Shi S. Lack of effect of Imrecoxib, an innovative and moderate COX-2 inhibitor, on pharmacokinetics and pharmacodynamics of warfarin in healthy volunteers. Sci Rep 2019; 9:15774. [PMID: 31673051 PMCID: PMC6823368 DOI: 10.1038/s41598-019-51755-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 10/07/2019] [Indexed: 01/10/2023] Open
Abstract
Imrecoxib is a registered treatment for osteoarthritis pain symptoms in China. This study aims to assess the effect of imrecoxib on the pharmacodynamics and pharmacokinetics of warfarin. 12 healthy male volunteers with CYP2C9*3 AA and VKORC1 AA genotypes took a 5 mg dose of warfarin both alone and concomitantly with steady-state imrecoxib. Both warfarin alone and concomitantly with imrecoxib have safey and good tolerance across the trial. Following warfarin and imrecoxib co-administration, neither Cmax, AUC0-t and t1/2 of warfarin enantiomers nor AUC of international normalized ratio (INR) were markedly different from those of warfarin alone. The geometric mean ratios (GMRs) (warfarin + imrecoxib: warfarin alone) of INR(AUC) was 1 (0.99, 1.01). The GMRs of warfarin AUC0-∞ (90% confidence interval, CIs) for warfarin + imrecoxib: warfarin alone were 1.12 (1.08, 1.16) for R-warfarin and 1.13 (1.07, 1.18) for S- warfarin. The 90% CIs of the GMRs of AUC0-∞, Cmax and INR (AUC) were all within a 0.8–1.25 interval. The combination of warfarin and imrecoxib did not impact the pharmacodynamics and pharmacokinetics of single-dose warfarin; therefore, when treating a patient with imrecoxib and warfarin, it is not required to adjust the dosage of warfarin.
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Affiliation(s)
- Yani Liu
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Rui Zhang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Zhongfang Li
- Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Jiali Zhou
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Tingyu Yang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Chunxiao Yang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Xixi Huang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Yu Zhang
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Shaojun Shi
- Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. .,Clinical Research Organization for Pharmaceutical Products, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
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40
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Cîmpan PL, Chira RI, Mocan M, Anton FP, Farcaş AD. Oral Anticoagulant Therapy-When Art Meets Science. J Clin Med 2019; 8:jcm8101747. [PMID: 31640208 PMCID: PMC6832236 DOI: 10.3390/jcm8101747] [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: 09/16/2019] [Revised: 10/15/2019] [Accepted: 10/16/2019] [Indexed: 12/15/2022] Open
Abstract
Anticoagulant treatment is extremely important and frequently encountered in the therapy of various cardiovascular diseases. Vitamin K antagonists (VKA) are in use for the prevention and treatment of arterial and venous thromboembolism, despite the introduction of new direct-acting oral anticoagulants (NOAC). The VKA still have the clear recommendation in patients with a mechanical prosthetic heart valve replacement or moderate to severe mitral stenosis of the rheumatic origin, in deep vein thrombosis associated with congenital thrombophilia, and in cases where NOAC are prohibited by social condition (financial reason) or by comorbidities (extreme weight, severe renal or liver disease). VKA dosing required to reach the targeted therapeutic range varies largely between patients (inter-individual variability). This inter-individual variability depends on multiple environmental factors such as age, mass, diet, etc. but it is also influenced by genetic determinism. About 30 genes implicated in the metabolism coumarins derivatives were identified, the most important being CYP2C9 and VKORC, each with several polymorphisms. Herein, we review the data regarding genetic alterations in general and specific populations, highlight the diagnosis options in particular cases presenting with genetic alteration causing higher sensitivity and/or resistance to VKA therapy and underline the utility of NOAC in solving such rare and difficult problems.
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Affiliation(s)
| | - Romeo Ioan Chira
- Internal Medicine Department, Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
- Emergency Clinical County Hospital, 40006 Cluj Napoca, Romania.
| | - Mihaela Mocan
- Internal Medicine Department, Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
- Emergency Clinical County Hospital, 40006 Cluj Napoca, Romania.
| | - Florin Petru Anton
- Internal Medicine Department, Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
- Emergency Clinical County Hospital, 40006 Cluj Napoca, Romania.
| | - Anca Daniela Farcaş
- Internal Medicine Department, Iuliu Hatieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
- Emergency Clinical County Hospital, 40006 Cluj Napoca, Romania.
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Shi Y, Zhang W, Jiang M, Huang L, Zhou Y, Chen J, Liu D, Liu G, Dong M. Effects of sulfotanshinone sodium injection on the pharmacokinetics and pharmacodynamics of warfarin in rats in vivo. Xenobiotica 2019; 50:705-712. [PMID: 31609652 DOI: 10.1080/00498254.2019.1681034] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
This study was to explore the effects of sulfotanshinone sodium injection (SSI) on the pharmacokinetics and pharmacodynamics of warfarin in rats.The studies of single dose and multiple dose of warfarin were designed to assess the interaction between warfarin and SSI. Rats were divided into different groups randomly and administered with warfarin in the absence or presence of SSI. Prothrombin time (PT) and activated partial thromboplastin time (APTT) values were detected by blood coagulation analyzer, and international normalized ratio (INR) values were calculated. Plasma concentrations of warfarin enantiomers were determined by UPLC-MS/MS method, pharmacokinetic parameters were calculated.The single-dose study demonstrated that the repeated doses of SSI alone had no effect on PT, APTT and INR values, but had a significant effect on PT and INR values produced by a single dose of warfarin, APTT values were unaffected. The Cmax, AUC of R-warfarin and S-warfarin were reduced, t1/2 were shortened. The multiple-dose study showed that PT, APTT, INR values, and the Cmax and AUC of R-warfarin and S-warfarin decreased significantly after administration of SSI.The finding implied that SSI could accelerate warfarin metabolism and weaken its anticoagulation. However, human SSI-warfarin interaction studies need to be conducted to confirm this finding.
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Affiliation(s)
- Yuan Shi
- Department of Pharmacy, The Second Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Wenlong Zhang
- Department of Pharmacy, The Second Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Meiting Jiang
- Department of Pharmacy, The Second Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Lijun Huang
- Department of Pharmacy, The Second Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Yangxu Zhou
- Department of Pharmacy, The Second Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Jiayu Chen
- Department of Pharmacy, The Second Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Duo Liu
- Department of Pharmacy, The Third Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Gaofeng Liu
- Department of Pharmacy, The Second Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Mei Dong
- Department of Pharmacy, The Third Affiliated Hospital, Harbin Medical University, Harbin, China
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Johnson D, Hughes D, Pirmohamed M, Jorgensen A. Evidence to Support Inclusion of Pharmacogenetic Biomarkers in Randomised Controlled Trials. J Pers Med 2019; 9:E42. [PMID: 31480618 PMCID: PMC6789450 DOI: 10.3390/jpm9030042] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 08/15/2019] [Accepted: 08/19/2019] [Indexed: 01/01/2023] Open
Abstract
Pharmacogenetics and biomarkers are becoming normalised as important technologies to improve drug efficacy rates, reduce the incidence of adverse drug reactions, and make informed choices for targeted therapies. However, their wider clinical implementation has been limited by a lack of robust evidence. Suitable evidence is required before a biomarker's clinical use, and also before its use in a clinical trial. We have undertaken a review of five pharmacogenetic biomarker-guided randomised controlled trials (RCTs) and evaluated the evidence used by these trials to justify biomarker inclusion. We assessed and quantified the evidence cited in published rationale papers, or where these were not available, obtained protocols from trial authors. Very different levels of evidence were provided by the trials. We used these observations to write recommendations for future justifications of biomarker use in RCTs and encourage regulatory authorities to write clear guidelines.
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Affiliation(s)
- Danielle Johnson
- Institute of Translational Medicine, Department of Biostatistics, University of Liverpool, Waterhouse Building, 1-5 Brownlow Street, Liverpool L69 3GL, UK.
| | - Dyfrig Hughes
- Centre for Health Economics and Medicines Evaluation, Bangor University, Ardudwy, Normal Site, Bangor LL57 2PZ, UK
| | - Munir Pirmohamed
- MRC Centre for Drug Safety Science and Wolfson Centre for Personalised Medicine, Institute of Translational Medicine, Waterhouse Building, 1-5 Brownlow Street, Liverpool L69 3GL, UK
| | - Andrea Jorgensen
- Institute of Translational Medicine, Department of Biostatistics, University of Liverpool, Waterhouse Building, 1-5 Brownlow Street, Liverpool L69 3GL, UK
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Algorithm for predicting low maintenance doses of warfarin using age and polymorphisms in genes CYP2C9 and VKORC1 in Brazilian subjects. THE PHARMACOGENOMICS JOURNAL 2019; 20:104-113. [PMID: 31395958 DOI: 10.1038/s41397-019-0091-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/11/2018] [Revised: 03/27/2019] [Accepted: 07/18/2019] [Indexed: 01/21/2023]
Abstract
Warfarin exhibits a wide variation in dose requirements. We sought to evaluate the association of polymorphisms CYP2C9*2 (rs1799853), CYP2C9*3 (rs1075910), and VKORC1-G1639A (rs9923231) and nongenetic factors with maintenance doses of warfarin <17.5 mg/week and to create an algorithm to predict drug sensitivity. This is a retrospective cohort study including 312 patients assisted at an anticoagulation clinic in Brazil. The mean age of participants was 60.4 ± 13.5 years and 59.9% were female. The logistic regression model included: age [odds ratio (OR) 1.03, 95% confidence interval (CI) 1.01-1.06], genotype VKORC1 AA (OR 31.61, 95% CI 11.20-100.15) and genotype CYP2C9 2/2, 2/3 or 3/3 (OR 16.48, 95% CI 3.37-81.79). The creation of our algorithm involved warfarin-experienced patients on stable doses, identifying factors associated with drug sensitivity. The validation of this algorithm allows its use in future populations to determine the initial dose distinguishing patients with dose requirements <17.5 mg and reducing time to achieve stable doses.
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Chinese Patients With Heart Valve Replacement Do Not Benefit From Warfarin Pharmacogenetic Testing on Anticoagulation Outcomes. Ther Drug Monit 2019; 41:748-754. [PMID: 31259883 DOI: 10.1097/ftd.0000000000000664] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND Genotype-guided warfarin dosing has been shown in some randomized trials to improve anticoagulation outcomes in individuals of European ancestry; yet, its utility in Chinese patients with heart valve replacement remains unresolved. METHODS A total of 2264 patients who underwent heart valve replacement at Wuhan Asia Heart Hospital were enrolled in this study. Patients were randomly divided into 2 groups, namely, a genotype-guided and a traditional clinically guided warfarin dosing group. In the genotype-guided group (n = 1134), genotyping for CYP2C9 and VKORC1 (-1639 G→A) was performed using TaqMan genotyping assay. Warfarin doses were predicted with the International Warfarin Pharmacogenetics Consortium algorithm. Patients in the control group (n = 1130) were clinically guided. The primary outcome was to compare the incidence of adverse events (major bleeding and thrombotic) during a 90-day follow-up period between 2 groups. Secondary objectives were to describe effects of the pharmacogenetic intervention on the first therapeutic-target-achieving time, the stable maintenance dose, and the hospitalization days. RESULTS A total of 2245 patients were included in the analysis. Forty-nine events occurred during follow-up. Genotype-guided dosing strategy did not result in a reduction in major bleeding (0.26% versus 0.63%; hazard ratio, 0.44; 95% confidence interval, 0.13-1.53; P = 0.20) and thrombotic events (0.89% versus 1.61%; hazard ratio, 0.56; 95% confidence interval, 0.27-1.17; P = 0.12) compared with clinical dosing group. Compared with traditional dosing, patients in the genotype-guided group reached their therapeutic international normalized ratio in a shorter time (3.8 ± 2.0 versus 4.4 ± 2.0 days, P < 0.001). There was no difference in hospitalization days (P = 0.28). CONCLUSIONS Warfarin pharmacogenetic testing according to the International Warfarin Pharmacogenetics Consortium algorithm cannot improve anticoagulation outcomes in Chinese patients with heart valve replacement.
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Helin TA, Joutsi-Korhonen L, Asmundela H, Niemi M, Orpana A, Lassila R. Warfarin dose requirement in patients having severe thrombosis or thrombophilia. Br J Clin Pharmacol 2019; 85:1684-1691. [PMID: 30933373 DOI: 10.1111/bcp.13948] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2018] [Revised: 03/12/2019] [Accepted: 03/23/2019] [Indexed: 12/17/2022] Open
Abstract
AIMS Warfarin dose requirement varies significantly. We compared the clinically established doses based on international normalized ratio (INR) among patients with severe thrombosis and/or thrombophilia with estimates from genetic dosing algorithms. METHODS Fifty patients with severe thrombosis and/or thrombophilia requiring permanent anticoagulation, referred to the Helsinki University Hospital Coagulation Center, were screened for thrombophilias and genotyped for CYP2C9*2 (c.430C>T, rs1799853), CYP2C9*3 (c.1075A>C, rs1057910) and VKORC1 c.-1639G>A (rs9923231) variants. The warfarin maintenance doses (target INR 2.0-3.0 in 94%, 2.5-3.5 in 6%) were estimated by the Gage and the International Warfarin Pharmacogenetics Consortium (IWPC) algorithms. The individual warfarin maintenance dose was tailored, supplementing estimates with comprehensive clinical evaluation and INR data. RESULTS Mean patient age was 47 years (range 20-76), and BMI 27 (SD 6), 68% being women. Forty-six (92%) had previous venous or arterial thrombosis, and 26 (52%) had a thrombophilia, with 22% having concurrent aspirin. A total of 40% carried the CYP2C9*2 or *3 allele and 54% carried the VKORC1-1639A allele. The daily mean maintenance dose of warfarin estimated by the Gage algorithm was 5.4 mg (95% CI 4.9-5.9 mg), and by the IWPC algorithm was 5.2 mg (95% CI 4.7-5.7 mg). The daily warfarin maintenance dose after clinical visits and follow-up was higher than the estimates, mean 6.9 mg (95% CI 5.6-8.2 mg, P < 0.006), with highest dose in patients having multiple thrombophilic factors (P < 0.03). CONCLUSIONS In severe thrombosis and/or thrombophilia, variation in thrombin generation and pharmacodynamics influences warfarin response. Pharmacogenetic dosing algorithms seem to underestimate dose requirement.
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Affiliation(s)
- Tuukka A Helin
- Coagulation Disorders Unit, Clinical Chemistry, University of Helsinki and HUSLAB, Helsinki University Hospital, Helsinki, Finland
| | - Lotta Joutsi-Korhonen
- Coagulation Disorders Unit, Clinical Chemistry, University of Helsinki and HUSLAB, Helsinki University Hospital, Helsinki, Finland
| | - Heidi Asmundela
- Coagulation Disorders Unit, Hematology, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Mikko Niemi
- Department of Clinical Pharmacology, Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki and HUSLAB, Helsinki University Hospital, Helsinki, Finland
| | - Arto Orpana
- Genetics and Clinical Chemistry, University of Helsinki and HUSLAB, Helsinki University Hospital, Helsinki, Finland
| | - Riitta Lassila
- Coagulation Disorders Unit, Clinical Chemistry, University of Helsinki and HUSLAB, Helsinki University Hospital, Helsinki, Finland.,Coagulation Disorders Unit, Hematology, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
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Andersson ML, Mannheimer B, Lindh JD. The effect of simvastatin on warfarin anticoagulation: a Swedish register-based nationwide cohort study. Eur J Clin Pharmacol 2019; 75:1387-1392. [PMID: 31201436 DOI: 10.1007/s00228-019-02703-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 05/30/2019] [Indexed: 11/29/2022]
Abstract
PURPOSE Some data indicate that simvastatin may increase the anticoagulative effect in patients treated with warfarin, but the evidence is scarce. The aim of the present study was to investigate how the anticoagulative effect of warfarin is affected by the initiation of simvastatin in a very large patient sample. METHODS In a retrospective cohort study, we included 5637 individuals on warfarin treatment initiating simvastatin. INR values and warfarin doses were calculated week-by-week during co-treatment. Data were obtained from two large Swedish warfarin registers and from the Swedish Prescribed Drug Register. RESULTS INR increased from 2.43 at baseline to 2.58, 4 weeks after simvastatin initiation, and did not stabilize until the last quarter of the year studied. Consequently, the proportion of patients with an INR above 3 increased from around 8 to 15%. CONCLUSIONS In conclusion, initiation of simvastatin resulted in moderately increased INR values and subsequent dose decreases in patients already on warfarin. In order to avoid the increased risk of bleeding, the initiation of simvastatin may be accompanied by closer INR monitoring.
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Affiliation(s)
- Marine L Andersson
- Karolinska Institutet, Department of Laboratory Medicine, Division of Clinical Pharmacology, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Buster Mannheimer
- Department of Clinical Science and Education at Södersjukhuset, Karolinska Institutet, Stockholm, Sweden. .,Section of Diabetes and Endocrinology, Department of Internal Medicine, Södersjukhuset, Sjukhusbacken 8-10, 118 82, Stockholm, Sweden.
| | - Jonatan D Lindh
- Karolinska Institutet, Department of Laboratory Medicine, Division of Clinical Pharmacology, Karolinska University Hospital Huddinge, Stockholm, Sweden
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Kampouraki E, Kamali F. Pharmacogenetics of anticoagulants used for stroke prevention in patients with atrial fibrillation. Expert Opin Drug Metab Toxicol 2019; 15:449-458. [PMID: 31120800 DOI: 10.1080/17425255.2019.1623878] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Introduction: The inclusion of pharmacogenetics alongside clinical information in anticoagulant therapy offers the opportunity for a tailored approach to treatment according to individual patient characteristics. Areas covered: Literature was searched using PubMed database, focusing on pharmacogenetics of oral anticoagulants. Original research articles and review articles in English language were included in the literature reviewed. This article includes all information available for the genetic cause of inter-individual variability in anticoagulation response to oral anticoagulant drugs. The pharmacogenetics of VKAs and NOACs are described in detail. Expert opinion: There have been numerous studies focusing on the pharmacogenetics of VKAs, particularly warfarin. Current evidence suggests that known genetic and clinical factors explain a large proportion of the inter-individual variability in response to warfarin. Pharmacogenetic-based algorithms have been validated to determine their clinical utility with equivocal results. To date, only a limited number of mostly small studies on the pharmacogenetics of NOACs exists. The latter have highlighted genetic polymorphisms in specific genes that may affect clinical outcomes. Further evaluations of these polymorphisms are needed before firm conclusions can be drawn about the significance of pharmacogenetics on NOAC therapy.
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Affiliation(s)
- Emmanouela Kampouraki
- a Institute of Cellular Medicine within Faculty of Medical Sciences , Newcastle University , Newcastle upon Tyne , UK
| | - Farhad Kamali
- b Newcastle upon Tyne Hospitals, NHS Foundation Trust , Newcastle upon Tyne , UK
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Hosseindokht M, Boroumand M, Salehi R, Mandegary A, Hajhosseini Talasaz A, Pourgholi L, Zare H, Ziaee S, Sharifi M. Association between four microRNA binding site-related polymorphisms and the risk of warfarin-induced bleeding complications. EXCLI JOURNAL 2019; 18:287-299. [PMID: 31338002 PMCID: PMC6635724 DOI: 10.17179/excli2019-1352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Accepted: 05/02/2019] [Indexed: 12/18/2022]
Abstract
Bleeding is the most serious complication of warfarin anticoagulation therapy and is known to occur even at patients with therapeutic international normalized ratio (INR) range. Recently, it has been shown that microRNAs play a significant role in pharmacogenetics by regulating genes that are critical for drug function. Interaction between microRNAs and these target genes could be affected by single-nucleotide polymorphisms (SNPs) located in microRNA-binding sites. This study focused on 3′-untranslated region (3′-UTR) SNPs of the genes involved in the warfarin action and the occurrence of bleeding complications in an Iranian population receiving warfarin. A total of 526 patients under warfarin anticoagulation therapy with responding to the therapeutic dose and maintenance of the INR in the range of 2.0-3.5 in three consecutive blood tests were included in the study. Four selected 3'-UTR SNPs (rs12458, rs7294, rs1868774 and rs34669593 located in GATA4, VKORC1, CALU and GGCX genes, respectively) with the potential to disrupt/eliminate or enhance/create microRNA-binding site were genotyped using a simple PCR-based restriction fragment length polymorphism (PCR-RFLP) method. Patients with the rs12458 AT or TT genotypes of the GATA4 gene had a lower risk of bleeding compared to patients with the AA genotype (adjusted OR: 0.478, 95% CI: 0.285-0.802, P= 0.005, OR: 0.416, 95% CI: 0.192-0.902, P= 0.026, respectively). 3'-UTR polymorphisms in other genes were not significantly associated with the risk of bleeding complications. In conclusion, the SNP rs12458A>T in the 3′UTR region of GATA4 is associated with the incidence of warfarin-related bleeding at target range of INR, likely by altering microRNA binding and warfarin metabolism. Further genetics association studies are needed to validate these findings before they can be implemented in clinical settings.
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Affiliation(s)
- Maryam Hosseindokht
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammadali Boroumand
- Department of Pathology and Laboratory Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Rasoul Salehi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ali Mandegary
- Department of Pharmacology and Toxicology, School of Pharmacy, Kerman University of Medical Sciences, Kerman, Iran; Gastroenterology and Hepatology Research Center, Afzalipour's Hospital, Imam Highway, Kerman, Iran
| | - Azita Hajhosseini Talasaz
- Department of Cardiac Research, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran; Department of Clinical Pharmacy, School of Pharmacy, Tehran University of Medical Sciences
| | - Leyla Pourgholi
- Department of Pathology and Laboratory Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Hamed Zare
- Cellular and Molecular Research Center, Birjand University of Medical Sciences, Birjand, Iran
| | - Shayan Ziaee
- Department of Pathology and Laboratory Medicine, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammadreza Sharifi
- Department of Genetics and Molecular Biology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
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Chaidaroglou A, Kanellopoulou T, Panopoulos G, Stavridis G, Degiannis D. Extremely low therapeutic doses of acenocoumarol in a patient with CYP2C9*3/*3 and VKORC1-1639A/A genotype. Pharmacogenomics 2019; 20:311-317. [DOI: 10.2217/pgs-2018-0189] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Vitamin-K antagonists (VKAs) have remained the mainstay of oral anticoagulant therapy for the treatment and prevention of thromboembolism. The management of treatment with VKAs is challenging due to their narrow therapeutic index and the wide interindividual variation in response to therapy. Variants of the CYP2C9 and the VKORC1 gene account for 30–50% of the variability in dosing requirements, and it has been proposed that genotyping of these loci could facilitate management of VKA therapy and minimize risk of overanticoagulation, even in very low doses. We present the first reported case of a patient with the compounded genotype CYP2C9*3*3 and VKORC1-1639A/A under treatment with acenocoumarol, and review of other reported cases with analogous genotypic profiles but under treatment with warfarin.
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Affiliation(s)
- Antigoni Chaidaroglou
- Molecular Immunopathology & Histocompatibility Unit, Onassis Cardiac Surgery Center, Athens, Greece
| | - Theoni Kanellopoulou
- Department of Clinical Hematology, Blood Bank & Hemostasis, Onassis Cardiac Surgery Center, Athens, Greece
| | | | - George Stavridis
- Third Department of Cardiac Surgery, Onassis Cardiac Surgery Center, Athens, Greece
| | - Dimitrios Degiannis
- Molecular Immunopathology & Histocompatibility Unit, Onassis Cardiac Surgery Center, Athens, Greece
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Differences in Warfarin Pharmacodynamics and Predictors of Response Among Three Racial Populations. Clin Pharmacokinet 2019; 58:1077-1089. [DOI: 10.1007/s40262-019-00745-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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