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Kurtz P, Elias ABR, Suarez-Kurtz G. Influence of CYP2C9 phenotypes on phenytoin plasma concentration in neurosurgical Brazilian patients. Pharmacogenet Genomics 2024; 34:285-290. [PMID: 39356102 DOI: 10.1097/fpc.0000000000000546] [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: 10/03/2024]
Abstract
AIMS To investigate the association of CYP2C9 metabolic phenotypes with phenytoin plasma concentration ([PTH]) in neurosurgical patients from the Brazilian Public Health System. METHODS Patients (n = 170) were treated with phenytoin (300 mg/day) perioperatively as prophylaxis for postoperative seizures. Two to 10 days after surgery, a blood sample was collected for quantification of [PTH] and genotyping of CYP2C9*2 and *3 alleles. CYP2C9 metabolic phenotypes, NM (normal), IM (intermediate), and PM (poor) metabolizer, were inferred from CYP2C9 diplotypes. Linear regression modeling was applied to identify predictors of [PTH]. RESULTS Wide (22-fold) interindividual variation in [PTH] was observed (2.2-47.5 mg/l). [PTH] associated significantly (Kruskal-Wallis P < 0.005) with CYP2C9 phenotypes and there was a significant trend (Jonckheere-Terpstra test, P < 0.0001) for [PTH] increase in the order NM < IM < PM. [PTH] was within the target therapeutic range (10-20 mg/l) in 34.7% of patients, while 39.4% and 25.9% had [PTH] below and above the range, respectively. CYP2C9 phenotypes associated significantly (chi-square P = 0.004) with the distribution of patients in [PHT] therapeutic categories and the Cramér's V test pointed to moderate magnitude of the effect of CYP2C9 phenotypes (V = 0.211). CONCLUSION Diplotype-predicted CYP2C9 metabolic phenotypes are associated significantly with [PTH] in neurosurgical Brazilian patients receiving phenytoin for postsurgery seizure prophylaxis. [PHT] increased progressively in the phenotype order NM < IM < PM, and all PM patients had [PHT] above the target therapeutic range, consistent with the CPIC guideline 'strong' recommendation for phenytoin dosing adjustments in PMs.
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Affiliation(s)
- Pedro Kurtz
- Instituto Estadual do Cérebro Paulo Niemeyer
| | - Anna Beatriz Ribeiro Elias
- Divisão de Pesquisa Clínica e Desenvolvimento Tecnológico, Instituto Nacional de Câncer, Rio de Janeiro, RJ, Brazil
| | - Guilherme Suarez-Kurtz
- Divisão de Pesquisa Clínica e Desenvolvimento Tecnológico, Instituto Nacional de Câncer, Rio de Janeiro, RJ, Brazil
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2
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Litonius K, Kulla N, Falkenbach P, Kristiansson K, Tarkiainen EK, Ukkola-Vuoti L, Cajanus K, Korhonen M, Khan S, Sistonen J, Orpana A, Lindstedt M, Nyrönen T, Perola M, Turpeinen M, Kytö V, Tornio A, Niemi M. Value of Pharmacogenetic Testing Assessed with Real-World Drug Utilization and Genotype Data. Clin Pharmacol Ther 2024. [PMID: 39365028 DOI: 10.1002/cpt.3458] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Accepted: 09/03/2024] [Indexed: 10/05/2024]
Abstract
Implementation of pharmacogenetic testing in clinical care has been slow and with few exceptions is hindered by the lack of real-world evidence on how to best target testing. In this retrospective register-based study, we analyzed a nationwide cohort of 1,425,000 patients discharged from internal medicine or surgical wards and a cohort of 2,178 university hospital patients for purchases and prescriptions of pharmacogenetically actionable drugs. Pharmacogenetic variants were obtained from whole genome genotype data for a subset (n = 930) of the university hospital patients. We investigated factors associated with receiving pharmacogenetically actionable drugs and developed a literature-based cost-benefit model for pre-emptive pharmacogenetic panel testing. In a 2-year follow-up, 60.4% of the patients in the nationwide cohort purchased at least one pharmacogenetically actionable drug, most commonly ibuprofen (25.0%) and codeine (19.4%). Of the genotyped subset, 98.8% carried at least one actionable pharmacogenetic genotype and 23.3% had at least one actionable gene-drug pair. Patients suffering from musculoskeletal or cardiovascular diseases were more prone to receive pharmacogenetically actionable drugs during inpatient episode. The cost-benefit model included frequently dispensed drugs in the university hospital cohort, comprising ondansetron (19.4%), simvastatin (7.4%), clopidogrel (5.0%), warfarin (5.1%), (es)citalopram (5.3%), and azathioprine (0.5%). For untargeted pre-emptive pharmacogenetic testing of all university hospital patients, the model indicated saving €17.49 in direct healthcare system costs per patient in 2 years without accounting for the cost of the test itself. Therefore, it might be reasonable to target pre-emptive pharmacogenetic testing to patient groups most likely to receive pharmacogenetically actionable drugs.
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Affiliation(s)
- Kaisa Litonius
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Noora Kulla
- Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland
- Unit of Clinical Pharmacology, Turku University Hospital, Turku, Finland
| | - Petra Falkenbach
- Finnish Coordinating Center for Health Technology Assessment, Oulu University Hospital, University of Oulu, Oulu, Finland
| | | | - E Katriina Tarkiainen
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | | | - Kristiina Cajanus
- Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland
- Unit of Clinical Pharmacology, Turku University Hospital, Turku, Finland
| | - Mari Korhonen
- Genome Unit, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Sofia Khan
- Genome Unit, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Johanna Sistonen
- Genome Unit, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | - Arto Orpana
- Genome Unit, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
| | | | | | - Markus Perola
- Finnish Institute for Health and Welfare, Helsinki, Finland
- Clinical and Molecular Metabolism Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Miia Turpeinen
- Finnish Coordinating Center for Health Technology Assessment, Oulu University Hospital, University of Oulu, Oulu, Finland
- Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Ville Kytö
- Heart Center, Turku University Hospital, University of Turku, Turku, Finland
- Clinical Research Center, Turku University Hospital, Turku, Finland
| | - Aleksi Tornio
- Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland
- Unit of Clinical Pharmacology, Turku University Hospital, Turku, Finland
| | - Mikko Niemi
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
- Department of Clinical Pharmacology, HUS Diagnostic Center, Helsinki University Hospital, Helsinki, Finland
- Individualized Drug Therapy Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
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3
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Bao SS, Tang PF, Zhou Q, Shao CF, Xiao ZX, Cheng C, Cai JP, Li YL. The relationship between CYP2C9 gene polymorphisms and azilsartan metabolism in vitro. Expert Opin Drug Metab Toxicol 2024:1-9. [PMID: 39316645 DOI: 10.1080/17425255.2024.2409255] [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: 06/20/2024] [Revised: 09/14/2024] [Accepted: 09/22/2024] [Indexed: 09/26/2024]
Abstract
BACKGROUND The gene polymorphisms of the CYP2C9, as well as the substrate specificity of the enzyme, result in different clearances for different substrates by CYP2C9 variants. RESEARCH DESIGNAND METHODS The CYP2C9 wild type and 38 CYP2C9 variants, expressed in insectmicrosomes, were incubated with azilsartan. The resulting metabolite,O-desethyl azilsartan, was determined by HPLC-MS/MS. The enzyme kineticparameters of the 38 variants were calculated and compared with the wild type.Subsequently, we selected CYP2C9*1, *2, and *3 as target proteins for molecular docking with azilsartan to elucidate the mechanisms underlying changes in enzyme function. RESULTS Compared with CYP2C9*1, three variants (CYP2C9*29, *39, and *49) exhibited markedlyincreased CLint values (from 170%-275%, *p < 0.05), whereas 28 variants exhibited significantly decreased CLint values (from 3-63%,*p < 0.05). The molecular docking results showed that the binding energy of CYP2C9*2 and *3 was lower than that of the wild type. CONCLUSION Thisassessment revealed the effect of CYP2C9 gene polymorphisms on azilsartan metabolism, establishing a theoretical basis for further in-vivo studies and clinical applications. This study will help expand the database of CYP2C9 gene-drug pairs and identify appropriate treatment strategies for azilsartan, contributing to the field of precision medicine.
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Affiliation(s)
- Su-Su Bao
- Affiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou, China
| | - Peng-Fei Tang
- Affiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou, China
| | - Quan Zhou
- Key Laboratory of Joint Diagnosis and Treatment of Chronic Liver Disease and Liver Cancer of Lishui, The Sixth Affiliated Hospital of Wenzhou Medical University, Zhejiang, China
| | - Chuan-Feng Shao
- Affiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou, China
| | - Zhong-Xiang Xiao
- Affiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou, China
| | - Chen Cheng
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Jian-Ping Cai
- The Ministry of Health (MOH) Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, PR China
| | - Yun-Lei Li
- Affiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou, China
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Hernandez S, Hindorff LA, Morales J, Ramos EM, Manolio TA. Patterns of pharmacogenetic variation in nine biogeographic groups. Clin Transl Sci 2024; 17:e70017. [PMID: 39206687 PMCID: PMC11358764 DOI: 10.1111/cts.70017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2024] [Revised: 08/02/2024] [Accepted: 08/10/2024] [Indexed: 09/04/2024] Open
Abstract
Frequencies of pharmacogenetic (PGx) variants are known to differ substantially across populations but much of the available PGx literature focuses on one or a few population groups, often defined in nonstandardized ways, or on a specific gene or variant. Guidelines produced by the Clinical Pharmacogenetic Implementation Consortium (CPIC) provide consistent methods of literature extraction, curation, and reporting, including comprehensive curation of allele frequency data across nine defined "biogeographic groups" from the PGx literature. We extracted data from 23 CPIC guidelines encompassing 19 genes to compare the sizes of the populations from each group and allele frequencies of altered function alleles across groups. The European group was the largest in the curated literature for 16 of the 19 genes, while the American and Oceanian groups were the smallest. Nearly 200 alleles were detected in nonreference groups that were not reported in the largest (reference) group. The genes CYP2B6 and CYP2C9 were more likely to have higher frequencies of altered function alleles in nonreference groups compared to the reference group, while the genes CYP4F2, DPYD, SLCO1B1, and UGT1A1 were less likely to have higher frequencies in nonreference groups. PGx allele frequencies and function differ substantially across nine biogeographic groups, all but two of which are underrepresented in available PGx data. Awareness of these differences and increased efforts to characterize the breadth of global PGx variation are needed to ensure that implementation of PGx-guided drug selection does not further widen existing health disparities among populations currently underrepresented in PGx data.
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Affiliation(s)
- Sophia Hernandez
- National Human Genome Research InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Lucia A. Hindorff
- National Human Genome Research InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Joannella Morales
- National Human Genome Research InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Erin M. Ramos
- National Human Genome Research InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Teri A. Manolio
- National Human Genome Research InstituteNational Institutes of HealthBethesdaMarylandUSA
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Okpete UE, Byeon H. Challenges and prospects in bridging precision medicine and artificial intelligence in genomic psychiatric treatment. World J Psychiatry 2024; 14:1148-1164. [PMID: 39165556 PMCID: PMC11331387 DOI: 10.5498/wjp.v14.i8.1148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 06/13/2024] [Accepted: 07/09/2024] [Indexed: 08/12/2024] Open
Abstract
Precision medicine is transforming psychiatric treatment by tailoring personalized healthcare interventions based on clinical, genetic, environmental, and lifestyle factors to optimize medication management. This study investigates how artificial intelligence (AI) and machine learning (ML) can address key challenges in integrating pharmacogenomics (PGx) into psychiatric care. In this integration, AI analyzes vast genomic datasets to identify genetic markers linked to psychiatric conditions. AI-driven models integrating genomic, clinical, and demographic data demonstrated high accuracy in predicting treatment outcomes for major depressive disorder and bipolar disorder. This study also examines the pressing challenges and provides strategic directions for integrating AI and ML in genomic psychiatry, highlighting the importance of ethical considerations and the need for personalized treatment. Effective implementation of AI-driven clinical decision support systems within electronic health records is crucial for translating PGx into routine psychiatric care. Future research should focus on developing enhanced AI-driven predictive models, privacy-preserving data exchange, and robust informatics systems to optimize patient outcomes and advance precision medicine in psychiatry.
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Affiliation(s)
- Uchenna Esther Okpete
- Department of Digital Anti-aging Healthcare (BK21), Inje University, Gimhae 50834, South Korea
| | - Haewon Byeon
- Department of Digital Anti-aging Healthcare (BK21), Inje University, Gimhae 50834, South Korea
- Department of Medical Big Data, Inje University, Gimhae 50834, South Korea
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Pedersen KW, Andersen JD, Hansen J, Børsting C, Banner J, Hasselstrøm JB, Jornil JR. Investigating the Correlation between Genotypes and Hepatic Protein Expression of CYP2C9, CYP2C19, CYP2D6, and CYP3A5 Using Postmortem Tissue from a Danish Population. Drug Metab Dispos 2024; 52:975-980. [PMID: 38906700 DOI: 10.1124/dmd.124.001692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 05/03/2024] [Accepted: 06/06/2024] [Indexed: 06/23/2024] Open
Abstract
The cytochrome P450 (CYP) family of enzymes plays a central role in the metabolism of many drugs. CYP genes are highly polymorphic, which is known to affect protein levels, but for some low frequent CYP genotypes the correlation between genotype and CYP protein expression is less established. In this study, we determined the CYP2C9, CYP2C19, CYP2D6, and CYP3A5 genotypes of 250 Danish individuals included in a postmortem study. For 116 of the individuals, the hepatic CYP protein levels were investigated by a proteomics approach. Overall, we found the postmortem genetic and proteomic data to be in agreement with those of other studies performed on fresh hepatic tissue, showing the usability of postmortem hepatic tissue for this type of investigation. For less investigated genotypes, we could corroborate previously found results: 1) statistically significantly lower levels of hepatic CYP2C9 protein in individuals carrying the CYP2C9*3 variant compared with individuals with two wild type (wt) alleles; 2) comparable levels of CYP2C19 in CYP2C19*2/*17 and CYP2C19*1/*2 individuals; 3) reduced CYP2D6 protein levels in heterozygous individuals with the CYP2D6*3, CYP2D6*4, and CYP2D6*5 gene deletion variants; and 4) significantly lower levels of CYP3A5 protein in CYP3A5*3 homozygous individuals compared with individuals who were heterozygous for the CYP3A5*3 allele or homozygous individuals for the wt alleles. In conclusion, the use of postmortem tissue significantly increases the access to human specimens for research purposes, and postmortem proteomics can be used to investigate the link between CYP genotypes and hepatic protein expression. SIGNIFICANCE STATEMENT: In tissue samples from a large postmortem cohort (n = 250) we determined the CYP2C9, CYP2C19, CYP2D6, and CYP3A5 genotypes. Hepatic CYP protein levels were investigated in 116 individuals using a proteomics approach. For common genotypes, we found results similar to previous knowledge, pointing toward the usability of postmortem tissue. For the less investigated genotypes, we were able to corroborate genotype/protein expression correlations. It is a novel approach to use a large postmortem cohort to investigate genetic/protein expression correlations.
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Affiliation(s)
- Kata W Pedersen
- Department of Forensic Medicine, Aarhus University, Aarhus, Denmark (K.W.P., J.H., J.B.H., J.R.J.); and Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark (J.D.A., C.B., J.B.)
| | - Jeppe D Andersen
- Department of Forensic Medicine, Aarhus University, Aarhus, Denmark (K.W.P., J.H., J.B.H., J.R.J.); and Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark (J.D.A., C.B., J.B.)
| | - Jakob Hansen
- Department of Forensic Medicine, Aarhus University, Aarhus, Denmark (K.W.P., J.H., J.B.H., J.R.J.); and Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark (J.D.A., C.B., J.B.)
| | - Claus Børsting
- Department of Forensic Medicine, Aarhus University, Aarhus, Denmark (K.W.P., J.H., J.B.H., J.R.J.); and Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark (J.D.A., C.B., J.B.)
| | - Jytte Banner
- Department of Forensic Medicine, Aarhus University, Aarhus, Denmark (K.W.P., J.H., J.B.H., J.R.J.); and Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark (J.D.A., C.B., J.B.)
| | - Jørgen B Hasselstrøm
- Department of Forensic Medicine, Aarhus University, Aarhus, Denmark (K.W.P., J.H., J.B.H., J.R.J.); and Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark (J.D.A., C.B., J.B.)
| | - Jakob R Jornil
- Department of Forensic Medicine, Aarhus University, Aarhus, Denmark (K.W.P., J.H., J.B.H., J.R.J.); and Department of Forensic Medicine, University of Copenhagen, Copenhagen, Denmark (J.D.A., C.B., J.B.)
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7
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Manson LEN, Nijenhuis M, Soree B, de Boer-Veger NJ, Buunk AM, Houwink EJF, Risselada A, Rongen GAPJM, van Schaik RHN, Swen JJ, Touw DJ, van Westrhenen R, Deneer VHM, Guchelaar HJ. Dutch Pharmacogenetics Working Group (DPWG) guideline for the gene-drug interaction of CYP2C9, HLA-A and HLA-B with anti-epileptic drugs. Eur J Hum Genet 2024; 32:903-911. [PMID: 38570725 PMCID: PMC11291682 DOI: 10.1038/s41431-024-01572-4] [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: 08/11/2023] [Revised: 01/30/2024] [Accepted: 02/19/2024] [Indexed: 04/05/2024] Open
Abstract
By developing evidence-based pharmacogenetics guidelines to optimize pharmacotherapy, the Dutch Pharmacogenetics Working Group (DPWG) aims to advance the implementation of pharmacogenetics (PGx). This guideline outlines the gene-drug interaction of CYP2C9 and HLA-B with phenytoin, HLA-A and HLA-B with carbamazepine and HLA-B with oxcarbazepine and lamotrigine. A systematic review was performed and pharmacotherapeutic recommendations were developed. For CYP2C9 intermediate and poor metabolisers, the DPWG recommends lowering the daily dose of phenytoin and adjust based on effect and serum concentration after 7-10 days. For HLA-B*15:02 carriers, the risk of severe cutaneous adverse events associated with phenytoin, carbamazepine, oxcarbazepine, and lamotrigine is strongly increased. For carbamazepine, this risk is also increased in HLA-B*15:11 and HLA-A*31:01 carriers. For HLA-B*15:02, HLA-B*15:11 and HLA-A*31:01 positive patients, the DPWG recommends choosing an alternative anti-epileptic drug. If not possible, it is recommended to advise the patient to report any rash while using carbamazepine, lamotrigine, oxcarbazepine or phenytoin immediately. Carbamazepine should not be used in an HLA-B*15:02 positive patient. DPWG considers CYP2C9 genotyping before the start of phenytoin "essential" for toxicity prevention. For patients with an ancestry in which the abovementioned HLA-alleles are prevalent, the DPWG considers HLA-B*15:02 genotyping before the start of carbamazepine, phenytoin, oxcarbazepine, and lamotrigine "beneficial", as well as genotyping for HLA-B*15:11 and HLA-A*31:01 before initiating carbamazepine.
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Affiliation(s)
- Lisanne E N Manson
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marga Nijenhuis
- Royal Dutch Pharmacists Association (KNMP), The Hague, The Netherlands.
| | - Bianca Soree
- Royal Dutch Pharmacists Association (KNMP), The Hague, The Netherlands
| | | | | | | | - Arne Risselada
- Department of Clinical Pharmacy, Wilhelmina Hospital, Assen, The Netherlands
| | - Gerard A P J M Rongen
- Department of Internal Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Pharmacology and Toxicology, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Ron H N van Schaik
- Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Jesse J Swen
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - Daan J Touw
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
- Department of Pharmaceutical Analysis, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, The Netherlands
| | - Roos van Westrhenen
- Department of Psychiatry, Parnassia Group, Amsterdam, The Netherlands
- Department of Psychiatry and Neuropsychology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
- Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London, UK
| | - Vera H M Deneer
- Department of Clinical Pharmacy, Division Laboratories, Pharmacy and Biomedical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
- Division of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences (UIPS), Department of Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands
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8
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Medwid S, Kim RB. Implementation of pharmacogenomics: Where are we now? Br J Clin Pharmacol 2024; 90:1763-1781. [PMID: 36366858 DOI: 10.1111/bcp.15591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 11/01/2022] [Accepted: 11/07/2022] [Indexed: 11/13/2022] Open
Abstract
Pharmacogenomics (PGx), examining the effect of genetic variation on interpatient variation in drug disposition and response, has been widely studied for several decades. However, as cost, as well as turnaround time associated with PGx testing, has significantly improved, the use of PGx in the clinical setting has been gaining momentum. Nevertheless, challenges have emerged in the broader clinical implementation of PGx. In this review, we will outline current models of PGx delivery and methodologies of evaluation, and discuss clinically relevant PGx tests and associated medications. Additionally, we will describe our approach for the broad implementation of pre-emptive DPYD genotyping in patients taking fluoropyrimidines in Ontario, Canada, as an example of clinically actionable PGx testing with sufficient clinical evidence of patient benefit that can become a new standard of patient care. We will highlight challenges associated with PGx testing, including a lack of diversity in PGx studies as well as general limitations that impact the broad adoption of PGx testing. Lastly, we examine the future of PGx, discussing new clinical targets, methodologies and analysis approaches.
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Affiliation(s)
- Samantha Medwid
- Department of Medicine, University of Western Ontario, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
- London Health Sciences Centre, London, Ontario, Canada
| | - Richard B Kim
- Department of Medicine, University of Western Ontario, London, Ontario, Canada
- Lawson Health Research Institute, London, Ontario, Canada
- London Health Sciences Centre, London, Ontario, Canada
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9
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Patel JN, Morris SA, Torres R, Rhead B, Vlangos C, Mueller DJ, Brown LC, Lefkofsky H, Ali M, De La Vega FM, Barnes KC, Zoghbi A, Stanton JD, Badgeley MA. Pharmacogenomic insights in psychiatric care: uncovering novel actionability, allele-specific CYP2D6 copy number variation, and phenoconversion in 15,000 patients. Mol Psychiatry 2024:10.1038/s41380-024-02588-4. [PMID: 38783055 DOI: 10.1038/s41380-024-02588-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 04/19/2024] [Accepted: 04/30/2024] [Indexed: 05/25/2024]
Abstract
Pharmacogenomic testing has emerged as an aid in clinical decision making for psychiatric providers, but more data is needed regarding its utility in clinical practice and potential impact on patient care. In this cross-sectional study, we determined the real-world prevalence of pharmacogenomic actionability in patients receiving psychiatric care. Potential actionability was based on the prevalence of CYP2C19 and CYP2D6 phenotypes, including CYP2D6 allele-specific copy number variations (CNVs). Combined actionability additionally incorporated CYP2D6 phenoconversion and the novel CYP2C-TG haplotype in patients with available medication data. Across 15,000 patients receiving clinical pharmacogenomic testing, 65% had potentially actionable CYP2D6 and CYP2C19 phenotypes, and phenotype assignment was impacted by CYP2D6 allele-specific CNVs in 2% of all patients. Of 4114 patients with medication data, 42% had CYP2D6 phenoconversion from drug interactions and 20% carried a novel CYP2C haplotype potentially altering actionability. A total of 87% had some form of potential actionability from genetic findings and/or phenoconversion. Genetic variation detected via next-generation sequencing led to phenotype reassignment in 22% of individuals overall (2% in CYP2D6 and 20% in CYP2C19). Ultimately, pharmacogenomic testing using next-generation sequencing identified potential actionability in most patients receiving psychiatric care. Early pharmacogenomic testing may provide actionable insights to aid clinicians in drug prescribing to optimize psychiatric care.
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Affiliation(s)
- Jai N Patel
- Department of Cancer Pharmacology & Pharmacogenomics, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA
| | - Sarah A Morris
- Department of Cancer Pharmacology & Pharmacogenomics, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA
| | | | | | | | - Daniel J Mueller
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | | | | | | | | | - Anthony Zoghbi
- Department of Psychiatry and Behavioral Sciences, Baylor College of Medicine, Houston, TX, USA
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Ragia G, Pallikarou M, Manolopoulou Y, Vorvolakos T, Manolopoulos VG. Genetic diversity of cytochrome P450 in patients receiving psychiatric care in Greece: a step towards clinical implementation. Pharmacogenomics 2024; 25:217-229. [PMID: 38884939 PMCID: PMC11388136 DOI: 10.1080/14622416.2024.2346072] [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: 02/20/2024] [Accepted: 04/12/2024] [Indexed: 06/18/2024] Open
Abstract
Aim: We herein inferred the genetic diversity of CYP450 isoenzymes to predict the percentage of patients who need dose adjustment in drugs used in psychiatry.Materials & methods: Data of 784 Greek patients receiving psychiatric care who were genotyped for CYP2D6, CYP2C19, CYP1A2, CYP3A5 and CYP2C9 isoenzymes were inferred to gene-drug pairs according to the US FDA, Clinical Pharmacogenetics Implementation Consortium and Dutch Pharmacogenetics Working Group annotations and published literature.Results: Atypical metabolism was found for 36.8% of patients in CYP2D6, 49.2% in CYP2C19, 45% in CYP1A2, 16.7% in CYP3A5 and 41.8% in CYP2C9. Dosage adjustment need was estimated for 10.2% of venlafaxine, 10.0% of paroxetine, 6.4% of sertraline, 30.8% of citalopram, 52.1% of escitalopram, 18.2% of fluvoxamine, 54.1% of tricyclic antidepressants, 16.7% of zuclopenthixol, 10.6% of haloperidol and 13.3% of risperidone treated patients.Conclusion: Clinical psychiatric pharmacogenomic implementation holds promise to improve drug effectiveness and safety.
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Affiliation(s)
- Georgia Ragia
- Laboratory of Pharmacology, Medical School, Democritus University of Thrace, Dragana Campus, Alexandroupolis, 68100, Greece
- Individualised Medicine & Pharmacological Research Solutions (IMPReS) Center, Dragana Campus, Alexandroupolis, 68100, Greece
- DNALEX S.A., Leontaridou 2, Alexandroupolis, 68100, Greece
| | - Myria Pallikarou
- Laboratory of Pharmacology, Medical School, Democritus University of Thrace, Dragana Campus, Alexandroupolis, 68100, Greece
- Individualised Medicine & Pharmacological Research Solutions (IMPReS) Center, Dragana Campus, Alexandroupolis, 68100, Greece
| | | | - Theofanis Vorvolakos
- Department of Psychiatry, Medical School, Academic General Hospital of Alexandroupolis, Democritus University of Thrace, Dragana Campus, Alexandroupolis, 68100, Greece
| | - Vangelis G Manolopoulos
- Laboratory of Pharmacology, Medical School, Democritus University of Thrace, Dragana Campus, Alexandroupolis, 68100, Greece
- Individualised Medicine & Pharmacological Research Solutions (IMPReS) Center, Dragana Campus, Alexandroupolis, 68100, Greece
- Clinical Pharmacology Unit, Academic General Hospital of Alexandroupolis, Dragana Campus, Alexandroupolis, 68100, Greece
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11
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Wei BM, Fox LP, Kaffenberger BH, Korman AM, Micheletti RG, Mostaghimi A, Noe MH, Rosenbach M, Shinkai K, Kwah JH, Phillips EJ, Bolognia JL, Damsky W, Nelson CA. Drug-induced hypersensitivity syndrome/drug reaction with eosinophilia and systemic symptoms. Part II diagnosis and management. J Am Acad Dermatol 2024; 90:911-926. [PMID: 37516356 DOI: 10.1016/j.jaad.2023.02.073] [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: 09/28/2022] [Revised: 02/11/2023] [Accepted: 02/17/2023] [Indexed: 07/31/2023]
Abstract
Drug-induced hypersensitivity syndrome, also known as drug reaction with eosinophilia and systemic symptoms, is a severe cutaneous adverse reaction characterized by an exanthem, fever, and hematologic and visceral organ involvement. The differential diagnosis includes other cutaneous adverse reactions, infections, inflammatory and autoimmune diseases, and neoplastic disorders. Three sets of diagnostic criteria have been proposed; however, consensus is lacking. The cornerstone of management is immediate discontinuation of the suspected drug culprit. Systemic corticosteroids remain first-line therapy, but the literature on steroid-sparing agents is expanding. Longitudinal evaluation for sequelae is recommended. Adjunctive tests for risk stratification and drug culprit identification remain under investigation. Part II of this continuing medical education activity begins by exploring the differential diagnosis and diagnosis of drug-induced hypersensitivity syndrome/drug reaction with eosinophilia and systemic symptoms and concludes with an evidence-based overview of evaluation and treatment.
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Affiliation(s)
- Brian M Wei
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut
| | - Lindy P Fox
- Department of Dermatology, University of California, San Francisco, California
| | | | - Abraham M Korman
- Department of Dermatology, The Ohio State University, Columbus, Ohio
| | - Robert G Micheletti
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Arash Mostaghimi
- Department of Dermatology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Megan H Noe
- Department of Dermatology, Brigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Misha Rosenbach
- Department of Dermatology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Kanade Shinkai
- Department of Dermatology, University of California, San Francisco, California
| | - Jason H Kwah
- Department of Medicine, Section of Rheumatology, Allergy and Immunology, Yale School of Medicine, New Haven, Connecticut
| | - Elizabeth J Phillips
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Jean L Bolognia
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut
| | - William Damsky
- Department of Pathology, Yale School of Medicine, New Haven, Connecticut
| | - Caroline A Nelson
- Department of Dermatology, Yale School of Medicine, New Haven, Connecticut.
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12
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Hung SI, Mockenhaupt M, Blumenthal KG, Abe R, Ueta M, Ingen-Housz-Oro S, Phillips EJ, Chung WH. Severe cutaneous adverse reactions. Nat Rev Dis Primers 2024; 10:30. [PMID: 38664435 DOI: 10.1038/s41572-024-00514-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/21/2024] [Indexed: 06/15/2024]
Abstract
Severe cutaneous adverse reactions (SCARs), which include Stevens-Johnson syndrome and toxic epidermal necrolysis, drug reaction with eosinophilia and systemic symptoms (also known as drug-induced hypersensitivity syndrome), acute generalized exanthematous pustulosis, and generalized bullous fixed drug eruption, are life-threatening conditions. The pathogenesis of SCARs involves T cell receptors recognizing drug antigens presented by human leukocyte antigens, triggering the activation of distinct T cell subsets. These cells interact with keratinocytes and various immune cells, orchestrating cutaneous lesions and systemic manifestations. Genetic predisposition, impaired drug metabolism, viral reactivation or infections, and heterologous immunity influence SCAR development and clinical presentation. Specific genetic associations with distinct SCAR phenotypes have been identified, leading to the implementation of genetic screening before prescription in various countries to prevent SCARs. Whilst systemic corticosteroids and conventional immunomodulators have been the primary therapeutic agents, evolving strategies, including biologics and small molecules targeting tumour necrosis factor, different cytokines, or Janus kinase signalling pathways, signify a shift towards a precision management paradigm that considers individual clinical presentations.
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Affiliation(s)
- Shuen-Iu Hung
- Cancer Vaccine and Immune Cell Therapy Core Laboratory, Department of Medical Research, Chang Gung Memorial Hospital, Linkou Branch, Taoyuan, Taiwan
- Department and Institute of Pharmacology, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Maja Mockenhaupt
- Dokumentationszentrum schwerer Hautreaktionen (dZh), Department of Dermatology, Medical Center and Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Kimberly G Blumenthal
- Division of Rheumatology, Allergy and Immunology, Department of Internal Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Riichiro Abe
- Division of Dermatology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Mayumi Ueta
- Department of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Saskia Ingen-Housz-Oro
- Dermatology Department, AP-HP, Henri Mondor Hospital, Reference Centre for Toxic Bullous Diseases and Severe Drug Reactions TOXIBUL, Université Paris Est Créteil EpiDermE, Créteil, France
| | - Elizabeth J Phillips
- Center for Drug Safety and Immunology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wen-Hung Chung
- Department of Dermatology, Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, Taipei/Linkou branches, and Chang Gung University, Taoyuan, Taiwan.
- Department of Dermatology, Chang Gung Memorial Hospital, Xiamen branch, Xiamen, China.
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13
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Zhang J, Zuo H, Fu Y, Cao Y, Li Q, Zhang Q, Zheng Y, Wang Y, Wu D, Chen W, Fang J. Intranasal delivery of phenytoin loaded layered double hydroxide nanoparticles improves therapeutic effect on epileptic seizures. J Nanobiotechnology 2024; 22:144. [PMID: 38566094 PMCID: PMC10985904 DOI: 10.1186/s12951-024-02405-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2023] [Accepted: 03/18/2024] [Indexed: 04/04/2024] Open
Abstract
Improving the efficiency of antiseizure medication entering the brain is the key to reducing its peripheral toxicity. A combination of intranasal administration and nanomedicine presents a practical approach for treating epileptic seizures via bypassing the blood-brain barrier. In this study, phenytoin (PHT) loaded layered double hydroxide nanoparticles (BSA-LDHs-PHT) were fabricated via a coprecipitation - hydrothermal method for epileptic seizure control. In this study, we expound on the preparation method and characterization of BSA-LDHs-PHT. In-vitro drug release experiment shows both rapid and continuous drug release from BSA-LDHs-PHT, which is crucial for acute seizure control and chronic epilepsy therapy. In-vivo biodistribution assays after intranasal administration indicate excellent brain targeting ability of BSA-LDHs. Compared to BSA-Cyanine5.5, BSA-LDHs-Cyanine5.5 were associated with a higher brain/peripheral ratio across all tested time points. Following intranasal delivery with small doses of BSA-LDHs-PHT, the latency of seizures in the pentylenetetrazole-induced mouse models was effectively improved. Collectively, the present study successfully designed and applied BSA-LDHs-PHT as a promising strategy for treating epileptic seizures with an enhanced therapeutic effect.
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Affiliation(s)
- Jingxin Zhang
- Department of Neurology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, China
| | - Huali Zuo
- The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, China
| | - Yanlu Fu
- Department of Neurology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, China
| | - Yina Cao
- Department of Neurology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, China
| | - Qiwei Li
- Department of Neurology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, China
| | - Qi Zhang
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Yuyi Zheng
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Yi Wang
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Di Wu
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Weiyu Chen
- Department of Respiratory and Critical Care Medicine, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, China.
| | - Jiajia Fang
- Department of Neurology, The Fourth Affiliated Hospital, Zhejiang University School of Medicine, Yiwu, 322000, China.
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14
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Maglalang PD, Wen J, Hornik CP, Gonzalez D. Sources of pharmacokinetic and pharmacodynamic variability and clinical pharmacology studies of antiseizure medications in the pediatric population. Clin Transl Sci 2024; 17:e13793. [PMID: 38618871 PMCID: PMC11017206 DOI: 10.1111/cts.13793] [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: 01/26/2024] [Revised: 03/08/2024] [Accepted: 03/25/2024] [Indexed: 04/16/2024] Open
Abstract
Multiple treatment options exist for children with epilepsy, including surgery, dietary therapies, neurostimulation, and antiseizure medications (ASMs). ASMs are the first line of therapy, and more than 30 ASMs have U.S. Food and Drug Administration (FDA) approval for the treatment of various epilepsy and seizure types in children. Given the extensive FDA approval of ASMs in children, it is crucial to consider how the physiological and developmental changes throughout childhood may impact drug disposition. Various sources of pharmacokinetic (PK) variability from different extrinsic and intrinsic factors such as patients' size, age, drug-drug interactions, and drug formulation could result in suboptimal dosing of ASMs. Barriers exist to conducting clinical pharmacological studies in neonates, infants, and children due to ethical and practical reasons, limiting available data to fully characterize these drugs' disposition and better elucidate sources of PK variability. Modeling and simulation offer ways to circumvent traditional and intensive clinical pharmacology methods to address gaps in epilepsy and seizure management in children. This review discusses various physiological and developmental changes that influence the PK and pharmacodynamic (PD) variability of ASMs in children, and several key ASMs will be discussed in detail. We will also review novel trial designs in younger pediatric populations, highlight the role of extrapolation of efficacy in epilepsy, and the use of physiologically based PK modeling as a tool to investigate sources of PK/PD variability in children. Finally, we will conclude with current challenges and future directions for optimizing the efficacy and safety of these drugs across the pediatric age spectrum.
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Affiliation(s)
- Patricia D. Maglalang
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of PharmacyThe University of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Jiali Wen
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of PharmacyThe University of North Carolina at Chapel HillChapel HillNorth CarolinaUSA
| | - Christoph P. Hornik
- Duke Clinical Research InstituteDurhamNorth CarolinaUSA
- Department of PediatricsDuke University School of MedicineDurhamNorth CarolinaUSA
| | - Daniel Gonzalez
- Duke Clinical Research InstituteDurhamNorth CarolinaUSA
- Division of Clinical Pharmacology, Department of MedicineDuke University School of MedicineDurhamNorth CarolinaUSA
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15
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Marzouka NAD, Alnaqbi H, Al-Aamri A, Tay G, Alsafar H. Investigating the genetic makeup of the major histocompatibility complex (MHC) in the United Arab Emirates population through next-generation sequencing. Sci Rep 2024; 14:3392. [PMID: 38337023 PMCID: PMC10858242 DOI: 10.1038/s41598-024-53986-1] [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: 11/26/2023] [Accepted: 02/07/2024] [Indexed: 02/12/2024] Open
Abstract
The Human leukocyte antigen (HLA) molecules are central to immune response and have associations with the phenotypes of various diseases and induced drug toxicity. Further, the role of HLA molecules in presenting antigens significantly affects the transplantation outcome. The objective of this study was to examine the extent of the diversity of HLA alleles in the population of the United Arab Emirates (UAE) using Next-Generation Sequencing methodologies and encompassing a larger cohort of individuals. A cohort of 570 unrelated healthy citizens of the UAE volunteered to provide samples for Whole Genome Sequencing and Whole Exome Sequencing. The definition of the HLA alleles was achieved through the application of the bioinformatics tools, HLA-LA and xHLA. Subsequently, the findings from this study were compared with other local and international datasets. A broad range of HLA alleles in the UAE population, of which some were previously unreported, was identified. A comparison with other populations confirmed the current population's unique intertwined genetic heritage while highlighting similarities with populations from the Middle East region. Some disease-associated HLA alleles were detected at a frequency of > 5%, such as HLA-B*51:01, HLA-DRB1*03:01, HLA-DRB1*15:01, and HLA-DQB1*02:01. The increase in allele homozygosity, especially for HLA class I genes, was identified in samples with a higher level of genome-wide homozygosity. This highlights a possible effect of consanguinity on the HLA homozygosity. The HLA allele distribution in the UAE population showcases a unique profile, underscoring the need for tailored databases for traditional activities such as unrelated transplant matching and for newer initiatives in precision medicine based on specific populations. This research is part of a concerted effort to improve the knowledge base, particularly in the fields of transplant medicine and investigating disease associations as well as in understanding human migration patterns within the Arabian Peninsula and surrounding regions.
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Affiliation(s)
- Nour Al Dain Marzouka
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Halima Alnaqbi
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Amira Al-Aamri
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Guan Tay
- Division of Psychiatry, Faculty of Health and Medical Sciences, Medical School, The University of Western Australia, Crawley, WA, Australia
- School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Habiba Alsafar
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
- College of Medicine and Health Sciences, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates.
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16
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Zhu X, Luo G, Zheng L. Update on HLA-B*15:02 allele associated with adverse drug reactions. Pharmacogenomics 2024; 25:97-111. [PMID: 38305022 DOI: 10.2217/pgs-2023-0173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2024] Open
Abstract
HLA alleles, part of the major histocompatibility complex, are strongly associated with adverse drug reactions (ADRs). This review focuses on HLA-B*15:02 and explores its association with ADRs in various ethnic populations and with different drugs, aiming to provide insights into the safe clinical use of drugs and minimize the occurrence of ADRs. Furthermore, the review explores the potential mechanisms by which HLA-B*15:02 may be associated with ADRs, aiming to gain new insights into drug modification and identification of haptens. In addition, it analyzes the frequency of the HLA-B*15:02, genotyping methods, cost-effectiveness and treatment measures for adverse reactions, thereby providing a theoretical basis for formulating clinical treatment plans.
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Affiliation(s)
- Xueting Zhu
- Clinical Medical Research Center, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Guanghua Luo
- Clinical Medical Research Center, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Lu Zheng
- Clinical Medical Research Center, The Third Affiliated Hospital of Soochow University, Changzhou, China
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17
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Li X, Wu M, Sun J, Jin W, Han L, Xu J, Liu J, Zhang H, Wang J, Wang D, Zhang H, Zhang Q, Liu N, Ding Y. Comparison of pharmacokinetics and safety between CE-fosphenytoin sodium, fosphenytoin sodium, and phenytoin sodium after intravenous and intramuscular administration in healthy volunteers. Front Pharmacol 2023; 14:1204075. [PMID: 38044946 PMCID: PMC10691362 DOI: 10.3389/fphar.2023.1204075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 10/31/2023] [Indexed: 12/05/2023] Open
Abstract
Background: Captisol®-enabled-fosphenytoin sodium (CE-fosphenytoin sodium) injection is a modified formulation of fosphenytoin sodium. Objective: We aim to compare the intravenous and intramuscular bioavailability and safety between CE-fosphenytoin sodium, fosphenytoin sodium (Cerebyx®), and phenytoin sodium (intravenous injection only). Methods: In pivotal study 1, 54 subjects were divided into three sequence groups that receive intravenous injection of 250 mg of phenytoin sodium equivalent (PE), CE-fosphenytoin sodium (T), or fosphenytoin sodium (R1) and 250 mg of phenytoin sodium (R2) in period 1. After a 14-day washout period, 36 subjects were randomized to two treatment sequence groups (T-R1 or R1-T, n = 18 per group) in period 2, in which the subjects who received R2 in period 1 were removed, those who received T in period 1 used R1 (T-R1), while those who previously received R1 used T (R1-T). In pivotal study 2, a single intramuscular dose of T (400 mg PE) or R1 (400 mg PE) was administered according to the individual sequential treatment assignment in each period. There was a washout (14 days) period before receiving the next period study drug. Results: T and R1 have similar pharmacokinetic characteristics regarding total and free phenytoin, showing bioequivalence of both drugs in the intravenous and intramuscular administration. The geometric mean ratio was close to 1 (0.98-1.06). The AUC of total and free phenytoin in subjects who intravenously received T and R1 was very similar to those who received R2, although their Cmax was lower than that of the subjects who received R2. Overall, treatment with T and R1 was safe and well-tolerated, without serious adverse events (SAEs) or grade III adverse events (AEs). With intravenous (i.v.) or intramuscular (i.m.) treatment, the incidence of drug-related AEs using T was similar to that using R1. Treatment with T and R1 had clearly superior tolerability than that with R2. Conclusion: CE-fosphenytoin sodium is a promising substitute for fosphenytoin sodium. Clinical Trial Registration: http://www.chinadrugtrials.org.cn/, CTR20202154 (11 November 2020).
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Affiliation(s)
- Xiaojiao Li
- Phase I Clinical Trial Center, The First Hospital of Jilin University, Changchun, China
| | - Min Wu
- Phase I Clinical Trial Center, The First Hospital of Jilin University, Changchun, China
| | - Jixuan Sun
- Phase I Clinical Trial Center, The First Hospital of Jilin University, Changchun, China
| | - Weili Jin
- Xi’an Xintong Pharmaceutical Research Co., Ltd., Xi’an, China
| | - Lei Han
- Xi’an Xintong Pharmaceutical Research Co., Ltd., Xi’an, China
| | - Jia Xu
- Phase I Clinical Trial Center, The First Hospital of Jilin University, Changchun, China
| | - Jingrui Liu
- Phase I Clinical Trial Center, The First Hospital of Jilin University, Changchun, China
| | - Hong Zhang
- Phase I Clinical Trial Center, The First Hospital of Jilin University, Changchun, China
| | - Jing Wang
- Phase I Clinical Trial Center, The First Hospital of Jilin University, Changchun, China
| | - Daidi Wang
- Xi’an Xintong Pharmaceutical Research Co., Ltd., Xi’an, China
| | - Hanyi Zhang
- Xi’an Xintong Pharmaceutical Research Co., Ltd., Xi’an, China
| | - Qing Zhang
- Xi’an Xintong Pharmaceutical Research Co., Ltd., Xi’an, China
| | - Nini Liu
- Xi’an Xintong Pharmaceutical Research Co., Ltd., Xi’an, China
| | - Yanhua Ding
- Phase I Clinical Trial Center, The First Hospital of Jilin University, Changchun, China
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18
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Principi N, Petropulacos K, Esposito S. Impact of Pharmacogenomics in Clinical Practice. Pharmaceuticals (Basel) 2023; 16:1596. [PMID: 38004461 PMCID: PMC10675377 DOI: 10.3390/ph16111596] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 11/03/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
Polymorphisms of genes encoding drug metabolizing enzymes and transporters can significantly modify pharmacokinetics, and this can be associated with significant differences in drug efficacy, safety, and tolerability. Moreover, genetic variants of some components of the immune system can explain clinically relevant drug-related adverse events. However, the implementation of drug dose individualization based on pharmacogenomics remains scarce. In this narrative review, the impact of genetic variations on the disposition, safety, and tolerability of the most commonly prescribed drugs is reported. Moreover, reasons for poor implementation of pharmacogenomics in everyday clinical settings are discussed. The literature analysis showed that knowledge of how genetic variations can modify the effectiveness, safety, and tolerability of a drug can lead to the adjustment of usually recommended drug dosages, improve effectiveness, and reduce drug-related adverse events. Despite some efforts to introduce pharmacogenomics in clinical practice, presently very few centers routinely use genetic tests as a guide for drug prescription. The education of health care professionals seems critical to keep pace with the rapidly evolving field of pharmacogenomics. Moreover, multimodal algorithms that incorporate both clinical and genetic factors in drug prescribing could significantly help in this regard. Obviously, further studies which definitively establish which genetic variations play a role in conditioning drug effectiveness and safety are needed. Many problems must be solved, but the advantages for human health fully justify all the efforts.
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Affiliation(s)
| | | | - Susanna Esposito
- Pediatric Clinic, Department of Medicine and Surgery, University Hospital of Parma, 43126 Parma, Italy
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19
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Almohaish S, Cook AM, Brophy GM, Rhoney DH. Personalized antiseizure medication therapy in critically ill adult patients. Pharmacotherapy 2023; 43:1166-1181. [PMID: 36999346 DOI: 10.1002/phar.2797] [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: 12/01/2022] [Revised: 03/01/2023] [Accepted: 03/08/2023] [Indexed: 04/01/2023]
Abstract
Precision medicine has the potential to have a significant impact on both drug development and patient care. It is crucial to not only provide prompt effective antiseizure treatment for critically ill patients after seizures start but also have a proactive mindset and concentrate on epileptogenesis and the underlying cause of the seizures or seizure disorders. Critical illness presents different treatment issues compared with the ambulatory population, which makes it challenging to choose the best antiseizure medications and to administer them at the right time and at the right dose. Since there is a paucity of information available on antiseizure medication dosing in critically ill patients, therapeutic drug monitoring is a useful tool for defining each patient's personal therapeutic range and assisting clinicians in decision-making. Use of pharmacogenomic information relating to pharmacokinetics, hepatic metabolism, and seizure etiology may improve safety and efficacy by individualizing therapy. Studies evaluating the clinical implementation of pharmacogenomic information at the point-of-care and identification of biomarkers are also needed. These studies may make it possible to avoid adverse drug reactions, maximize drug efficacy, reduce drug-drug interactions, and optimize medications for each individual patient. This review will discuss the available literature and provide future insights on precision medicine use with antiseizure therapy in critically ill adult patients.
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Affiliation(s)
- Sulaiman Almohaish
- Department of Pharmacotherapy & Outcomes Science, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia, USA
- Department of Pharmacy Practice, Clinical Pharmacy College, King Faisal University, Al-Ahsa, Saudi Arabia
| | - Aaron M Cook
- Department of Pharmacy Practice and Science, College of Pharmacy, University of Kentucky, Lexington, Kentucky, USA
| | - Gretchen M Brophy
- Department of Pharmacotherapy & Outcomes Science, School of Pharmacy, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Denise H Rhoney
- Division of Practice Advancement and Clinical Education, Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina, USA
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20
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Li B, Sangkuhl K, Whaley R, Woon M, Keat K, Whirl-Carrillo M, Ritchie MD, Klein TE. Frequencies of pharmacogenomic alleles across biogeographic groups in a large-scale biobank. Am J Hum Genet 2023; 110:1628-1647. [PMID: 37757824 PMCID: PMC10577080 DOI: 10.1016/j.ajhg.2023.09.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 09/01/2023] [Accepted: 09/01/2023] [Indexed: 09/29/2023] Open
Abstract
Pharmacogenomics (PGx) is an integral part of precision medicine and contributes to the maximization of drug efficacy and reduction of adverse drug event risk. Accurate information on PGx allele frequencies improves the implementation of PGx. Nonetheless, curating such information from published allele data is time and resource intensive. The limited number of allelic variants in most studies leads to an underestimation of certain alleles. We applied the Pharmacogenomics Clinical Annotation Tool (PharmCAT) on an integrated 200K UK Biobank genetic dataset (N = 200,044). Based on PharmCAT results, we estimated PGx frequencies (alleles, diplotypes, phenotypes, and activity scores) for 17 pharmacogenes in five biogeographic groups: European, Central/South Asian, East Asian, Afro-Caribbean, and Sub-Saharan African. PGx frequencies were distinct for each biogeographic group. Even biogeographic groups with similar proportions of phenotypes were driven by different sets of dominant PGx alleles. PharmCAT also identified "no-function" alleles that were rare or seldom tested in certain groups by previous studies, e.g., SLCO1B1∗31 in the Afro-Caribbean (3.0%) and Sub-Saharan African (3.9%) groups. Estimated PGx frequencies are disseminated via the PharmGKB (The Pharmacogenomics Knowledgebase: www.pharmgkb.org). We demonstrate that genetic biobanks such as the UK Biobank are a robust resource for estimating PGx frequencies. Improving our understanding of PGx allele and phenotype frequencies provides guidance for future PGx studies and clinical genetic test panel design, and better serves individuals from wider biogeographic backgrounds.
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Affiliation(s)
- Binglan Li
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Katrin Sangkuhl
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Ryan Whaley
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Mark Woon
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Karl Keat
- Genomics and Computational Biology PhD Program, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Marylyn D Ritchie
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Teri E Klein
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA; Department of Genetics (by courtesy), Stanford University, Stanford, CA 94305, USA; Department of Medicine (BMIR), Stanford University, Stanford, CA 94305, USA.
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21
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van der Drift D, Simoons M, Koch BCP, Brufau G, Bindels P, Matic M, van Schaik RHN. Implementation of Pharmacogenetics in First-Line Care: Evaluation of Its Use by General Practitioners. Genes (Basel) 2023; 14:1841. [PMID: 37895189 PMCID: PMC10606701 DOI: 10.3390/genes14101841] [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: 08/28/2023] [Revised: 09/16/2023] [Accepted: 09/20/2023] [Indexed: 10/29/2023] Open
Abstract
Pharmacogenetics (PGx) can explain/predict drug therapy outcomes. There is, however, unclarity about the use and usefulness of PGx in primary care. In this study, we investigated PGx tests ordered by general practitioners (GPs) in 2021 at Dept. Clinical Chemistry, Erasmus MC, and analyzed the gene tests ordered, drugs/drug groups, reasons for testing and single-gene versus panel testing. Additionally, a survey was sent to 90 GPs asking about their experiences and barriers to implementing PGx. In total, 1206 patients and 6300 PGx tests were requested by GPs. CYP2C19 was requested most frequently (17%), and clopidogrel was the most commonly indicated drug (23%). Regarding drug groups, antidepressants (51%) were the main driver for requesting PGx, followed by antihypertensives (26%). Side effects (79%) and non-response (27%) were the main indicators. Panel testing was preferred over single-gene testing. The survey revealed knowledge on when and how to use PGx as one of the main barriers. In conclusion, PGx is currently used by GPs in clinical practice in the Netherlands. Side effects are the main reason for testing, which mostly involves antidepressants. Lack of knowledge is indicated as a major barrier, indicating the need for more education on PGx for GPs.
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Affiliation(s)
- Denise van der Drift
- Department of Clinical Chemistry, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Mirjam Simoons
- Department of Hospital Pharmacy, Erasmus MC University Medical Center, 3015 CN Rotterdam, The Netherlands
| | - Birgit C. P. Koch
- Department of Hospital Pharmacy, Erasmus MC University Medical Center, 3015 CN Rotterdam, The Netherlands
| | - Gemma Brufau
- Department of Clinical Chemistry, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
- Department of Clinical Chemistry, Result Laboratory, 3318 AT Dordrecht, The Netherlands
| | - Patrick Bindels
- Department of General Practice, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Maja Matic
- Department of Clinical Chemistry, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
| | - Ron H. N. van Schaik
- Department of Clinical Chemistry, Erasmus MC University Medical Center, 3015 GD Rotterdam, The Netherlands
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22
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Cataldi M, Celentano C, Bencivenga L, Arcopinto M, Resnati C, Manes A, Dodani L, Comnes L, Vander Stichele R, Kalra D, Rengo G, Giallauria F, Trama U, Ferrara N, Cittadini A, Taglialatela M. Identification of Drugs Acting as Perpetrators in Common Drug Interactions in a Cohort of Geriatric Patients from Southern Italy and Analysis of the Gene Polymorphisms That Affect Their Interacting Potential. Geriatrics (Basel) 2023; 8:84. [PMID: 37736884 PMCID: PMC10514861 DOI: 10.3390/geriatrics8050084] [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: 07/04/2023] [Revised: 08/19/2023] [Accepted: 08/22/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Pharmacogenomic factors affect the susceptibility to drug-drug interactions (DDI). We identified drug interaction perpetrators among the drugs prescribed to a cohort of 290 older adults and analysed the prevalence of gene polymorphisms that can increase their interacting potential. We also pinpointed clinical decision support systems (CDSSs) that incorporate pharmacogenomic factors in DDI risk evaluation. METHODS Perpetrator drugs were identified using the Drug Interactions Flockhart Table, the DRUGBANK website, and the Mayo Clinic Pharmacogenomics Association Table. Allelic variants affecting their activity were identified with the PharmVar, PharmGKB, dbSNP, ensembl and 1000 genome databases. RESULTS Amiodarone, amlodipine, atorvastatin, digoxin, esomperazole, omeprazole, pantoprazole, simvastatin and rosuvastatin were perpetrator drugs prescribed to >5% of our patients. Few allelic variants affecting their perpetrator activity showed a prevalence >2% in the European population: CYP3A4/5*22, *1G, *3, CYP2C9*2 and *3, CYP2C19*17 and *2, CYP2D6*4, *41, *5, *10 and *9 and SLC1B1*15 and *5. Few commercial CDSS include pharmacogenomic factors in DDI-risk evaluation and none of them was designed for use in older adults. CONCLUSIONS We provided a list of the allelic variants influencing the activity of drug perpetrators in older adults which should be included in pharmacogenomics-oriented CDSSs to be used in geriatric medicine.
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Affiliation(s)
- Mauro Cataldi
- Department of Neuroscience, Reproductive Sciences and Dentistry, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy; (C.C.); (C.R.); (A.M.); (L.D.); (M.T.)
| | - Camilla Celentano
- Department of Neuroscience, Reproductive Sciences and Dentistry, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy; (C.C.); (C.R.); (A.M.); (L.D.); (M.T.)
| | - Leonardo Bencivenga
- Department of Translational Medical Sciences, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy; (L.B.); (M.A.); (G.R.); (F.G.); (N.F.); (A.C.)
- Gérontopôle de Toulouse, Institut du Vieillissement, CHU de Toulouse, Cité de la Santé, Place Lange, 31300 Toulouse, France
| | - Michele Arcopinto
- Department of Translational Medical Sciences, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy; (L.B.); (M.A.); (G.R.); (F.G.); (N.F.); (A.C.)
| | - Chiara Resnati
- Department of Neuroscience, Reproductive Sciences and Dentistry, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy; (C.C.); (C.R.); (A.M.); (L.D.); (M.T.)
| | - Annalaura Manes
- Department of Neuroscience, Reproductive Sciences and Dentistry, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy; (C.C.); (C.R.); (A.M.); (L.D.); (M.T.)
| | - Loreta Dodani
- Department of Neuroscience, Reproductive Sciences and Dentistry, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy; (C.C.); (C.R.); (A.M.); (L.D.); (M.T.)
| | - Lucia Comnes
- Datawizard, Via Salaria 719a, 00138 Rome, Italy;
| | - Robert Vander Stichele
- Heymans Institute of Pharmacology, Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium; (R.V.S.); (D.K.)
- European Institute for Innovation through Health Data, c/o Department Medical Informatics and Statistics, Ghent University Hospital, C. Heymanslaan 10, 9000 Ghent, Belgium
| | - Dipak Kalra
- Heymans Institute of Pharmacology, Ghent University, C. Heymanslaan 10, 9000 Ghent, Belgium; (R.V.S.); (D.K.)
- European Institute for Innovation through Health Data, c/o Department Medical Informatics and Statistics, Ghent University Hospital, C. Heymanslaan 10, 9000 Ghent, Belgium
| | - Giuseppe Rengo
- Department of Translational Medical Sciences, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy; (L.B.); (M.A.); (G.R.); (F.G.); (N.F.); (A.C.)
- Istituti Clinici Scientifici—ICS Maugeri S.p.A., Via Bagni Vecchi 1, 82037 Telese, Italy
| | - Francesco Giallauria
- Department of Translational Medical Sciences, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy; (L.B.); (M.A.); (G.R.); (F.G.); (N.F.); (A.C.)
| | - Ugo Trama
- General Directorate for Health Protection and Coordination of the Regional Health System, Regione Campania, Centro Direzionale Is. C3, 80132 Naples, Italy;
| | - Nicola Ferrara
- Department of Translational Medical Sciences, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy; (L.B.); (M.A.); (G.R.); (F.G.); (N.F.); (A.C.)
- Istituti Clinici Scientifici—ICS Maugeri S.p.A., Via Bagni Vecchi 1, 82037 Telese, Italy
| | - Antonio Cittadini
- Department of Translational Medical Sciences, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy; (L.B.); (M.A.); (G.R.); (F.G.); (N.F.); (A.C.)
| | - Maurizio Taglialatela
- Department of Neuroscience, Reproductive Sciences and Dentistry, Federico II University of Naples, Via Sergio Pansini 5, 80131 Naples, Italy; (C.C.); (C.R.); (A.M.); (L.D.); (M.T.)
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23
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Suarez-Kurtz G. Pharmacogenomic implications of the differential distribution of CYP2C9 metabolic phenotypes among Latin American populations. Front Pharmacol 2023; 14:1246765. [PMID: 37693910 PMCID: PMC10488705 DOI: 10.3389/fphar.2023.1246765] [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: 07/03/2023] [Accepted: 08/01/2023] [Indexed: 09/12/2023] Open
Abstract
The CYP2C9 gene encodes the major drug metabolism enzyme CYP2C9. This gene is highly polymorphic, and no-function (CYP2C9*3) plus decreased function (CYP2C9*2, *5, *8 and *11) star alleles (haplotypes) are commonly used to predict CYP2C9 metabolic phenotypes. This study explores the pharmacogenomic implications of the differential distribution of genotype-predicted CYP2C9 phenotypes across Latin American populations. Data from 1,404 individuals from the South American countries Brazil, Colombia and Peru, from Puerto Rico in the Caribbean and from persons with Mexican ancestry living in North America were analysed. The results showed that the distribution of CYP2C9 alleles and diplotypes, and diplotype-predicted CYP2C9 phenotypes vary significantly across the distinct country cohorts, as well as among self-identified White, Brown and Black Brazilians. Differences in average proportions of biogeographical ancestry across the study groups, especially Native American and African ancestry, are the likely explanation for these results. The differential distribution of genotype-predicted CYP2C9 phenotypes has potentially clinically-relevant pharmacogenomic implications, through its influence on the proportion of individuals at high risk for adverse response to medications that are CYP2C9 substrates, the proportion on individuals with CPIC therapeutic recommendations for dosing and choice of nonsteroidal antinflammatory drugs (NSAIDs) and the number of individuals that need to be genotyped in order to prevent adverse effects of NSAIDs. Collectively, these findings are likely to impact the perceived benefits, cost-effectiveness and clinical adoption of pharmacogenomic screening for drugs that are predominantly metabolized by CYP2C9.
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24
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Coons JC, Empey PE. Pharmacogenomics in the Management of Pulmonary Arterial Hypertension: Current Perspectives. Pharmgenomics Pers Med 2023; 16:729-737. [PMID: 37457231 PMCID: PMC10349598 DOI: 10.2147/pgpm.s361222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 06/19/2023] [Indexed: 07/18/2023] Open
Abstract
Pulmonary arterial hypertension (PAH) is a rare disease with heterogeneous causes that can lead to right ventricular (RV) failure and death if left untreated. There are currently 10 medications representative of five unique pharmacologic classes that are approved for treatment. These have led to significant improvements in overall clinical outcome. However, substantial variability in dosing requirements and treatment response is evident, leading to suboptimal outcome for many patients. Furthermore, dosing is empiric and iterative and can lead to delays in meeting treatment goals and burdensome adverse effects. Pharmacogenomic (PGx) associations have been reported with certain PAH medications, such as treprostinil and bosentan, and can explain some of the variability in response. Relevant genes associated with treprostinil include CYP2C8, CYP2C9, CAMK2D, and PFAS. CYP2C8 and CYP2C9 are the genes encoding the major metabolizing liver enzymes for treprostinil, and reduced function variants (*2, *3) with CYP2C9 were associated with lower treatment persistence. Additionally, a higher CYP2C9 activity score was associated with a significantly less risk of treatment discontinuation. Other genes of interest that have been explored with treprostinil include CAMK2D, which is associated with right ventricular dysfunction and significantly higher dose requirements. Similarly, PFAS is associated with lower concentrations of cyclic adenosine monophosphate and significantly higher dose requirements. Genes of interest with the endothelin receptor antagonist (ERA) class include GNG2 and CYP2C9. A genetic variant in GNG2 (rs11157866) was linked to a significantly increased rate of clinical improvement with ERAs. The *2 variant with CYP2C9 (encoding for the major metabolizing enzyme for bosentan) was significantly associated with a higher risk for elevations in hepatic aminotransferases and liver injury. In summary, this article reviews the relevant pharmacogenes that have been associated to date with dosing and outcome among patients who received PAH medications.
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Affiliation(s)
- James C Coons
- Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA
- Department of Pharmacy, UPMC Presbyterian-Shadyside Hospital, Pittsburgh, PA, USA
| | - Philip E Empey
- Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, PA, USA
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25
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Yuan LJ, Li XY, Ye F, Li XY, Li QQ, Zhong YS, Wang SY, Wang YH, Hu GX, Cai JP, Li JW. Enzymatic activity of 38 CYP2C9 genotypes on ibuprofen. Food Chem Toxicol 2023:113926. [PMID: 37406757 DOI: 10.1016/j.fct.2023.113926] [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: 05/10/2023] [Revised: 06/29/2023] [Accepted: 06/30/2023] [Indexed: 07/07/2023]
Abstract
BACKGROUND AND OBJECTIVE Ibuprofen, a common non-steroidal anti-inflammatory drug, is used clinically for pain relief and antipyretic treatment worldwide. However, regular or long-term use of ibuprofen may lead to a series of adverse reactions, including gastrointestinal bleeding, hypertension and kidney injury. Previous studies have shown that CYP2C9 gene polymorphism plays an important role in the elimination of various drugs, which leads to the variation in drug efficacy. This study aimed to evaluate the effect of 38 CYP2C9 genotypes on ibuprofen metabolism. METHODS Thirty-eight recombinant human CYP2C9 microsomal enzymes were obtained using a frugiperda 21 insect expression system according to a previously described method. Assessment of the catalytic function of these variants was completed via a mature incubation system: 5 pmol CYP2C9*1 and 38 CYP2C9 variants recombinant human microsomes, 5 μL cytochrome B5, ibuprofen (5-1000 μM), and Tris-HCl buffer (pH 7.4). The ibuprofen metabolite contents were determined using HPLC analysis. HPLC analysis included a UV detector, Plus-C18 column, and mobile phase [50% acetonitrile and 50% water (containing 0.05% trifluoroacetic acid)]. The kinetic parameters of the CYP2C9 genotypes were obtained by Michaelis-Menten curve fitting. RESULTS The intrinsic clearance (CLint) of eight variants was not significantly different from CYP2C9*1; four CYP2C9 variants (CYP2C9*38, *44, *53 and *59) showed significantly higher CLint (increase by 35%-230%) than that of the wild-type; the remaining twenty-six variants exhibited significantly reduced CLint (reduced by 30%-99%) compared to that of the wild-type. CONCLUSION This is the first systematic evaluation of the catalytic characteristics of 38 CYP2C9 genotypes involved ibuprofen metabolism. Our results provide a corresponding supplement to studies on CYP2C9 gene polymorphisms and kinetic characteristics of different variants. We need to focus on poor metabolizers (PMs) with severely abnormal metabolic functions, because they are more susceptible to drug exposure.
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Affiliation(s)
- Ling-Jing Yuan
- Department of Pharmacy, Shaoxing Second Hospital, Shaoxing, Zhejiang, China; School of Pharmaceutical Sciences, School of Pharmacy of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xiang-Yu Li
- Department of Pharmacy, Shaoxing Keqiao Women & Children΄s Hospital, Shaoxing, Zhejiang, China
| | - Feng Ye
- School of Pharmaceutical Sciences, School of Pharmacy of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xin-Yue Li
- School of Pharmaceutical Sciences, School of Pharmacy of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Qing-Qing Li
- School of Pharmaceutical Sciences, School of Pharmacy of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yun-Shan Zhong
- School of Pharmaceutical Sciences, School of Pharmacy of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Shi-Yu Wang
- School of Pharmaceutical Sciences, School of Pharmacy of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ya-Hui Wang
- School of Pharmaceutical Sciences, School of Pharmacy of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Guo-Xin Hu
- School of Pharmaceutical Sciences, School of Pharmacy of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jian-Ping Cai
- The Ministry of Health (MOH) Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, PR China.
| | - Jun-Wei Li
- School of Pharmaceutical Sciences, School of Pharmacy of Wenzhou Medical University, Wenzhou, Zhejiang, China.
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Camargo AC, Matte U, Botton MR. Identification of adverse drug reactions that may be related to pharmacogenetics in a public hospital in the South of Brazil. Expert Opin Drug Saf 2023; 22:621-627. [PMID: 36794346 DOI: 10.1080/14740338.2023.2181337] [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: 08/23/2022] [Accepted: 01/16/2023] [Indexed: 02/17/2023]
Abstract
BACKGROUND Adverse drug reactions (ADRs) are of great concern in clinical practice. Pharmacogenetics can identify individuals and groups at increased risk of developing ADRs, enabling treatment adjustments to improve outcomes. The study aimed to determine the prevalence of ADRs related to drugs with pharmacogenetic evidence level 1A in a public hospital in Southern Brazil. RESEARCH DESIGN AND METHODS ADR information was collected from the pharmaceutical registries from 2017 to 2019. Drugs that have pharmacogenetic evidence level 1A were selected. Public genomic databases were used to estimate the genotypes/phenotypes frequency. RESULTS During the period, 585 ADRs were spontaneously notified. Most were moderate (76.3%), whereas severe reactions accounted for 33.8%. Additionally, 109 ADRs caused by 41 drugs presented pharmacogenetic evidence level 1A, representing 18.6% of all notified reactions. Depending on the drug-gene pair, up to 35% of individuals from Southern Brazil could be at risk of developing ADRs. CONCLUSIONS Relevant amount of ADRs were related to drugs with pharmacogenetic recommendations on drug labels and/or guidelines. Genetic information could guide and improve clinical outcomes, decreasing ADR incidence and reducing treatment costs.
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Affiliation(s)
- Amanda C Camargo
- Department of Genetics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Cells, Tissues and Genes Laboratory, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Ursula Matte
- Department of Genetics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
- Cells, Tissues and Genes Laboratory, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
| | - Mariana R Botton
- Cells, Tissues and Genes Laboratory, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
- Transplant Immunology and Personalized Medicine Unit, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
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27
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Stojanova J, Day RO, Suthers G. Avoiding severe drug hypersensitivity reactions: a case for HLA genotyping for at-risk patients. Med J Aust 2023; 218:441-444. [PMID: 37270788 DOI: 10.5694/mja2.51937] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 02/27/2023] [Accepted: 03/20/2023] [Indexed: 06/06/2023]
Affiliation(s)
| | - Richard O Day
- St Vincent's Hospital Sydney, Sydney, NSW
- St Vincent's Clinical School, UNSW, Sydney, NSW
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28
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Samarasinghe SR, Hoy W, Jadhao S, McMorran BJ, Guchelaar HJ, Nagaraj SH. The pharmacogenomic landscape of an Indigenous Australian population. Front Pharmacol 2023; 14:1180640. [PMID: 37284308 PMCID: PMC10241071 DOI: 10.3389/fphar.2023.1180640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 04/07/2023] [Indexed: 06/08/2023] Open
Abstract
Background: Population genomic studies of individuals of Indigenous ancestry have been extremely limited comprising <0.5% of participants in international genetic databases and genome-wide association studies, contributing to a "genomic gap" that limits their access to personalised medicine. While Indigenous Australians face a high burden of chronic disease and associated medication exposure, corresponding genomic and drug safety datasets are sorely lacking. Methods: To address this, we conducted a pharmacogenomic study of almost 500 individuals from a founder Indigenous Tiwi population. Whole genome sequencing was performed using short-read Illumina Novaseq6000 technology. We characterised the pharmacogenomics (PGx) landscape of this population by analysing sequencing results and associated pharmacological treatment data. Results: We observed that every individual in the cohort carry at least one actionable genotype and 77% of them carry at least three clinically actionable genotypes across 19 pharmacogenes. Overall, 41% of the Tiwi cohort were predicted to exhibit impaired CYP2D6 metabolism, with this frequency being much higher than that for other global populations. Over half of the population predicted an impaired CYP2C9, CYP2C19, and CYP2B6 metabolism with implications for the processing of commonly used analgesics, statins, anticoagulants, antiretrovirals, antidepressants, and antipsychotics. Moreover, we identified 31 potentially actionable novel variants within Very Important Pharmacogenes (VIPs), five of which were common among the Tiwi. We further detected important clinical implications for the drugs involved with cancer pharmacogenomics such as thiopurines and tamoxifen, immunosuppressants like tacrolimus and certain antivirals used in the hepatitis C treatment due to potential differences in their metabolic processing. Conclusion: The pharmacogenomic profiles generated in our study demonstrate the utility of pre-emptive PGx testing and have the potential to help guide the development and application of precision therapeutic strategies tailored to Tiwi Indigenous patients. Our research provides valuable insights on pre-emptive PGx testing and the feasibility of its use in ancestrally diverse populations, emphasizing the need for increased diversity and inclusivity in PGx investigations.
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Affiliation(s)
| | - Wendy Hoy
- Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Sudhir Jadhao
- Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD, Australia
| | - Brendan J McMorran
- John Curtin School of Medical Research, College of Health and Medicine, Australian National University, Canberra, ACT, Australia
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, Netherlands
| | - Shivashankar H Nagaraj
- Centre for Genomics and Personalised Health, Queensland University of Technology, Brisbane, QLD, Australia
- Translational Research Institute, Queensland University of Technology, Brisbane, QLD, Australia
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29
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Validation of a genotyping technique for a surrogate marker of HLA-B ∗58:01 for allopurinol-induced Stevens-Johnson syndrome and toxic epidermal necrolysis in the Japanese population. Drug Metab Pharmacokinet 2023; 49:100495. [PMID: 36863950 DOI: 10.1016/j.dmpk.2023.100495] [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: 11/18/2022] [Revised: 02/02/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023]
Abstract
Stevens-Johnson syndrome and toxic epidermal necrolysis (SJS/TEN) are rare but severe cutaneous adverse drug reactions. Certain human leukocyte antigen (HLA) types have been associated with SJS/TEN onset, e.g., HLA-B∗58:01 with allopurinol-induced SJS/TEN, but HLA typing is time-consuming and expensive; thus, it is not commonly used in clinical situations. In the previous work, we demonstrated that the single-nucleotide polymorphisms (SNP) rs9263726 was in absolute linkage disequilibrium with HLA-B∗58:01 in the Japanese population, and can be used as a surrogate marker for the HLA. Here, we developed a new genotyping method for the surrogate SNP using the single-stranded tag hybridization chromatographic printed-array strip (STH-PAS) technique and performed an analytical validation. The results of genotyping rs9263726 using STH-PAS correlated well with those obtained using the TaqMan SNP Genotyping Assay for 15 HLA-B∗58:01-positive and 13 HLA-B∗58:01-negative patients (analytical sensitivity and specificity were both 100%). Additionally, at least 1.11 ng of genomic DNA was sufficient to digitally and manually detect positive signals on the strip. Robustness studies showed that the annealing temperature (66 °C) was the most important condition related to reliable results. Collectively, we developed an STH-PAS method that can rapidly and easily detect rs9263726 for predicting SJS/TEN onset.
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Kilpatrick MC, Givens SK, Watts Alexander CS. What Is Precision Medicine? PHYSICIAN ASSISTANT CLINICS 2023. [DOI: 10.1016/j.cpha.2022.10.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
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Zhou Y, Nevosadová L, Eliasson E, Lauschke VM. Global distribution of functionally important CYP2C9 alleles and their inferred metabolic consequences. Hum Genomics 2023; 17:15. [PMID: 36855170 PMCID: PMC9976394 DOI: 10.1186/s40246-023-00461-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 02/16/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Genetic variability in the cytochrome P450 CYP2C9 constitutes an important predictor for efficacy and safety of various commonly prescribed drugs, including coumarin anticoagulants, phenytoin and multiple non-steroidal anti-inflammatory drugs (NSAIDs). A global map of CYP2C9 variability and its inferred functional consequences has been lacking. RESULTS Frequencies of eight functionally relevant CYP2C9 alleles (*2, *3, *5, *6, *8, *11, *13 and *14) were analyzed. In total, 108 original articles were identified that included genotype data from a total of 81,662 unrelated individuals across 70 countries and 40 unique ethnic groups. The results revealed that CYP2C9*2 was most abundant in Europe and the Middle East, whereas CYP2C9*3 was the main reason for reduced CYP2C9 activity across South Asia. Our data show extensive variation within superpopulations with up to tenfold differences between geographically adjacent populations in Malaysia, Thailand and Vietnam. Translation of genetic CYP2C9 variability into functional consequences indicates that up to 40% of patients in Southern Europe and the Middle East might benefit from warfarin and phenytoin dose reductions, while 3% of patients in Southern Europe and Israel are recommended to reduce starting doses of NSAIDs. CONCLUSIONS This study provides a comprehensive map of the genetic and functional variability of CYP2C9 with high ethnogeographic resolution. The presented data can serve as a useful resource for CYP2C9 allele and phenotype frequencies and might guide the optimization of genotyping strategies, particularly for indigenous and founder populations with distinct genetic profiles.
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Affiliation(s)
- Yitian Zhou
- Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institutet, 141 52, Huddinge, Sweden.
| | - Lenka Nevosadová
- grid.4714.60000 0004 1937 0626Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Erik Eliasson
- grid.4714.60000 0004 1937 0626Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institutet, 141 52 Huddinge, Sweden ,grid.24381.3c0000 0000 9241 5705Medical Diagnostics, Clinical Pharmacology, Karolinska University Hospital, 141 86 Stockholm, Sweden
| | - Volker M. Lauschke
- grid.4714.60000 0004 1937 0626Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden ,grid.502798.10000 0004 0561 903XDr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany ,grid.10392.390000 0001 2190 1447University of Tübingen, Tübingen, Germany
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Liu Y, Lin Z, Chen Q, Chen Q, Sang L, Wang Y, Shi L, Guo L, Yu Y. PAnno: A pharmacogenomics annotation tool for clinical genomic testing. Front Pharmacol 2023; 14:1008330. [PMID: 36778023 PMCID: PMC9909284 DOI: 10.3389/fphar.2023.1008330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 01/16/2023] [Indexed: 01/27/2023] Open
Abstract
Introduction: Next-generation sequencing (NGS) technologies have been widely used in clinical genomic testing for drug response phenotypes. However, the inherent limitations of short reads make accurate inference of diplotypes still challenging, which may reduce the effectiveness of genotype-guided drug therapy. Methods: An automated Pharmacogenomics Annotation tool (PAnno) was implemented, which reports prescribing recommendations and phenotypes by parsing the germline variant call format (VCF) file from NGS and the population to which the individual belongs. Results: A ranking model dedicated to inferring diplotypes, developed based on the allele (haplotype) definition and population allele frequency, was introduced in PAnno. The predictive performance was validated in comparison with four similar tools using the consensus diplotype data of the Genetic Testing Reference Materials Coordination Program (GeT-RM) as ground truth. An annotation method was proposed to summarize prescribing recommendations and classify drugs into avoid use, use with caution, and routine use, following the recommendations of the Clinical Pharmacogenetics Implementation Consortium (CPIC), etc. It further predicts phenotypes of specific drugs in terms of toxicity, dosage, efficacy, and metabolism by integrating the high-confidence clinical annotations in the Pharmacogenomics Knowledgebase (PharmGKB). PAnno is available at https://github.com/PreMedKB/PAnno. Discussion: PAnno provides an end-to-end clinical pharmacogenomics decision support solution by resolving, annotating, and reporting germline variants.
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Affiliation(s)
- Yaqing Liu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Zipeng Lin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Qingwang Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Qiaochu Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Leqing Sang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Yunjin Wang
- Department of Breast Surgery, Precision Cancer Medicine Center, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Li Guo
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China,School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing, China,*Correspondence: Li Guo, ; Ying Yu,
| | - Ying Yu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China,*Correspondence: Li Guo, ; Ying Yu,
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Biswas M, Jinda P, Sukasem C. Pharmacogenomics in Asians: Differences and similarities with other human populations. Expert Opin Drug Metab Toxicol 2023; 19:27-41. [PMID: 36755439 DOI: 10.1080/17425255.2023.2178895] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 02/07/2023] [Indexed: 02/10/2023]
Abstract
INTRODUCTION Various pharmacogenomic (PGx) variants differ widely in different ethnicities. and clinical outcomes associated with these variants may also be substantially varied. Literature was searched in different databases, i.e. PubMed, ScienceDirect, Web of Science, and PharmGKB, from inception to 30 June 2022 for this review. AREAS COVERED Certain PGx variants were distinctly varied in Asian populations compared to the other human populations, e.g. CYP2C19*2,*3,*17; CYP2C9*2,*3; CYP2D6*4,*5,*10,*41; UGT1A1*6,*28; HLA-B*15:02, HLA-B*15:21, HLA-B*58:01, and HLA-A*31:01. However, certain other variants do not vary greatly between Asian and other ethnicities, e.g. CYP3A5*3; ABCB1, and SLCO1B1*5. As evident in this review, the risk of major adverse cardiovascular events (MACE) was much stronger in Asian patients taking clopidogrel and who inherited the CYP2C19 loss-of-function alleles, e.g. CYP2C19*2 and*3, when compared to the western/Caucasian patients. Additionally, the risk of carbamazepine-induced severe cutaneous adverse drug reactions (SCARs) for the patients inheriting HLA-B*15:02 and HLA-B*15:21 alleles varied significantly between Asian and other ethnicities. In contrast, both Caucasian and Asian patients inheriting the SLCO1B1*5 variant possessed a similar magnitude of muscle toxicity, i.e. myopathy. EXPERT OPINION Asian countries should take measures toward expanding PGx research, as well as initiatives for the purposes of obtaining clinical benefits from this newly evolving and economically viable treatment model.
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Affiliation(s)
- Mohitosh Biswas
- Department of Pharmacy, University of Rajshahi, 6205, Rajshahi, Bangladesh
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
| | - Pimonpan Jinda
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, 10400, Bangkok, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, 10400, Bangkok, Thailand
- Pharmacogenomics and Precision Medicine Clinic, Bumrungrad Genomic Medicine Institute (BGMI), Bumrungrad International Hospital, 10110, Bangkok, Thailand
- MRC Centre for Drug Safety Science, Department of Pharmacology and Therapeutics, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, L69 3GL, Liverpool, UK
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McDermott JH, Sharma V, Keen J, Newman WG, Pirmohamed M. The Implementation of Pharmacogenetics in the United Kingdom. Handb Exp Pharmacol 2023; 280:3-32. [PMID: 37306816 DOI: 10.1007/164_2023_658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
There is considerable inter-individual variability in the effectiveness and safety of pharmaceutical interventions. This phenomenon can be attributed to a multitude of factors; however, it is widely acknowledged that common genetic variation affecting drug absorption or metabolism play a substantial contributory role. This is a concept known as pharmacogenetics. Understanding how common genetic variants influence responses to medications, and using this knowledge to inform prescribing practice, could yield significant advantages for both patients and healthcare systems. Some health services around the world have introduced pharmacogenetics into routine practice, whereas others are less advanced along the implementation pathway. This chapter introduces the field of pharmacogenetics, the existing body of evidence, and discusses barriers to implementation. The chapter will specifically focus on efforts to introduce pharmacogenetics in the NHS, highlighting key challenges related to scale, informatics, and education.
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Affiliation(s)
- John H McDermott
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Videha Sharma
- Division of Informatics, Imaging and Data Science, Centre for Health Informatics, The University of Manchester, Manchester, UK
| | - Jessica Keen
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
| | - William G Newman
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Munir Pirmohamed
- Department of Pharmacology and Therapeutics, Wolfson Centre for Personalised Medicine, University of Liverpool, Liverpool, UK.
- Liverpool University Hospital Foundation NHS Trust, Liverpool, UK.
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Zhang Q, Qi Y, Wang S, Zhao F, Zou L, Zhou Q, Geng P, Hong Y, Yang H, Luo Q, Cai J, Wu H, Wang D, Chen H, Yang J, Dai D. Identification and in vitro functional assessment of 10 CYP2C9 variants found in Chinese Han subjects. Front Endocrinol (Lausanne) 2023; 14:1139805. [PMID: 37008923 PMCID: PMC10052410 DOI: 10.3389/fendo.2023.1139805] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 02/22/2023] [Indexed: 03/17/2023] Open
Abstract
Cytochrome P450 2C9 (CYP2C9) participates in about 15% of clinical drug metabolism, and its polymorphism is associated with individual drug metabolism differences, which may lead to the adverse drug reactions (ADRs). In this study, 1163 Chinese Han individuals were recruited to investigate their distribution pattern of CYP2C9 gene and find out the variants that may affect their drug metabolic activities. We successfully developed a multiplex PCR amplicon sequencing method and used it for the genetic screening of CYP2C9 in a large scale. Besides the wild type CYP2C9*1, totally 26 allelic variants of CYP2C9 were detected, which included 16 previously reported alleles and 10 new non-synonymous variants that had not been listed on the PharmVar website. The characteristics of these newly detected CYP2C9 variants were then evaluated after co-expressing them with CYPOR in S. cerevisiae microsomes. Immunoblot analysis revealed that except for Pro163Ser, Glu326Lys, Gly431Arg and Ile488Phe, most of newly detected variants showed comparable protein expression levels to wild type in yeast cells. Two typical CYP2C9 probe drugs, losartan and glimepiride, were then used for the evaluation of metabolic activities of variants. As a result, 3 variants Thr301Met, Glu326Lys, and Gly431Arg almost lost their catalytic activities and most of other variants exhibited significantly elevated activities for drug metabolism. Our data not only enriches the knowledge of naturally occurring CYP2C9 variants in the Chinese Han population, but also provides the fundamental evidence for its potential clinical usage for personalized medicine in the clinic.
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Affiliation(s)
- Qing Zhang
- Department of Cardiovascular, Beijing Hospital, National Center of Gerontology, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuying Qi
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
- Beijing Institute of Geriatrics, Peking University Fifth School of Clinical Medicine, Beijing, China
| | - Shuanghu Wang
- Laboratory of Clinical Pharmacy, The Sixth Affiliated Hospital of Wenzhou Medical University, The People’s Hospital of Lishui, Lishui, China
| | - Fangling Zhao
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
- Beijing Institute of Geriatrics, Peking University Fifth School of Clinical Medicine, Beijing, China
| | - Lili Zou
- Department of Cardiovascular, Beijing Hospital, National Center of Gerontology, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Quan Zhou
- Laboratory of Clinical Pharmacy, The Sixth Affiliated Hospital of Wenzhou Medical University, The People’s Hospital of Lishui, Lishui, China
| | - Peiwu Geng
- Laboratory of Clinical Pharmacy, The Sixth Affiliated Hospital of Wenzhou Medical University, The People’s Hospital of Lishui, Lishui, China
| | - Yun Hong
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Department of Gastroenterology, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Hang Yang
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
- Beijing Institute of Geriatrics, Peking University Fifth School of Clinical Medicine, Beijing, China
| | - Qingfeng Luo
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Department of Gastroenterology, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Jianping Cai
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
| | - Hualan Wu
- Department of Cardiovascular, Beijing Hospital, National Center of Gerontology, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Dongxu Wang
- Department of Cardiovascular, Beijing Hospital, National Center of Gerontology, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Hao Chen
- Department of Cardiovascular, Beijing Hospital, National Center of Gerontology, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- *Correspondence: Dapeng Dai, ; Jiefu Yang, ; Hao Chen,
| | - Jiefu Yang
- Department of Cardiovascular, Beijing Hospital, National Center of Gerontology, Beijing, China
- Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
- *Correspondence: Dapeng Dai, ; Jiefu Yang, ; Hao Chen,
| | - Dapeng Dai
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, China
- *Correspondence: Dapeng Dai, ; Jiefu Yang, ; Hao Chen,
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Aurich B, Apele‐Freimane D, Banaschewski T, Chouchana L, Day S, Kaguelidou F, Kelly LE, Kindblom JM, Neubert A, Wong ICK. c4c: Paediatric pharmacovigilance: Methodological considerations in research and development of medicines for children - A c4c expert group white paper. Br J Clin Pharmacol 2022; 88:4997-5016. [PMID: 34699077 PMCID: PMC9788092 DOI: 10.1111/bcp.15119] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Revised: 10/12/2021] [Accepted: 10/15/2021] [Indexed: 12/30/2022] Open
Abstract
Children frequently respond differently to therapies compared to adults. Differences also exist between paediatric age groups for pharmacokinetics and pharmacodynamics in both efficacy and safety. Paediatric pharmacovigilance requires an understanding of the unique aspects of children with regard to, for example, drug response, growth and development, clinical presentation of adverse drug reactions (ADRs), how they can be detected and population-specific factors (e.g., more frequent use of off-label/unlicensed drugs). In recognition of these challenges, a group of experts has been formed in the context of the conect4children (c4c) project to support paediatric drug development. This expert group collaborated to develop methodological considerations for paediatric drug safety and pharmacovigilance throughout the life-cycle of medicinal products which are described in this article. These considerations include practical points to consider for the development of the paediatric section of the risk management plan (RMP), safety in paediatric protocol development, safety data collection and analysis. Furthermore, they describe the specific details of post-marketing pharmacovigilance in children using, for example, spontaneous reports, electronic health care records, registries and record-linkage, as well as the use of paediatric pharmacoepidemiology studies for risk characterisation. Next the details of the assessment of benefit-risk and challenges related to medicinal product formulation in the context of a Paediatric Investigation Plan (PIP) are presented. Finally, practical issues in paediatric signal detection and evaluation are included. This paper provides practical points to consider for paediatric pharmacovigilance throughout the life-cycle of medicinal products for RMPs, protocol development, safety data collection and analysis and PIPs.
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Affiliation(s)
- Beate Aurich
- Department of PharmacologySaint‐Louis HospitalParisFrance
| | - Dina Apele‐Freimane
- Neonatal Intensive Care, Women and Child Health ClinicPauls Stradins Clinical University HospitalRigaLatvia
| | - Tobias Banaschewski
- Department of Child and Adolescent Psychiatry, Central Institute of Mental Health, Medical Faculty MannheimUniversity of HeidelbergMannheimGermany
| | - Laurent Chouchana
- Regional Center of Pharmacovigilance, Department of PharmacologyCochin Hospital, APHP, Centre, Université de ParisParisFrance
| | - Simon Day
- Clinical Trials Consulting and Training LimitedNorth MarstonUK
| | - Florentia Kaguelidou
- Department of Pediatric Pharmacology and Pharmacogenetics, APHP, Robert Debré Hospital; Center of Clinical Investigations, INSERM CIC1426Université de ParisParisFrance
| | - Lauren E. Kelly
- Department of Paediatrics and Child Health, Max Rady College of MedicineUniversity of ManitobaWinnipegCanada
| | - Jenny M. Kindblom
- Paediatric Clinical Research Center, Queen Silvia Children's HospitalSahlgrenska University HospitalGothenburgSweden
| | - Antje Neubert
- Department of Paediatrics and Adolescent MedicineUniversity Hospital Erlangen, Friedrich‐Alexander University Erlangen‐Nürnberg (FAU)ErlangenGermany
| | - Ian C. K. Wong
- Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of MedicineThe University of Hong KongChina,Research Department of Practice and Policy, School of PharmacyUCLLondonUK
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Manson LEN, Chan PCY, Böhringer S, Guchelaar HJ. Genotyping for HLA risk alleles versus patch tests to diagnose anti-seizure medication induced cutaneous adverse drug reactions. Front Pharmacol 2022; 13:1061419. [PMID: 36479194 PMCID: PMC9719985 DOI: 10.3389/fphar.2022.1061419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 11/08/2022] [Indexed: 09/10/2024] Open
Abstract
Aim: To provide a comparison of genotyping for HLA risk alleles versus patch testing to determine which of these two tests is a better diagnostic tool for cutaneous hypersensitivity reactions caused by anti-seizure medication. Methods: A literature study was performed in PubMed to assess the sensitivity and specificity of HLA genotyping and patch tests for identifying anti-seizure medication induced cutaneous hypersensitivity reactions. Results: This study shows that HLA-B*15:02 genotyping shows high sensitivity for carbamazepine-induced SJS/TEN, especially in Han Chinese and Southeast Asian patients (66.7-100.0%) whereas the sensitivity of patch tests (0.0-62,5%), HLA-A*31:01 (0-50%) and HLA-B*15:11 (18.2-42.9%) are lower. On the contrary, for carbamazepine and phenytoin induced DRESS, patch tests (respectively 70.0-88.9% and 14.3-70.0%) show higher sensitivity than HLA tests (0-66.7% and 0-12.7%). Also for lamotrigine-induced DRESS patch tests perform better than HLA-B*15:02 (33.3-40.0 versus 0%). For anti-seizure medication induced MPE and for oxcarbazepine-induced SCARs more studies are needed. Conclusion: Use of HLA-B genotyping may aid clinicians in the diagnosis of carbamazepine, phenytoin, lamotrigine and oxcarbazepine induced SJS/TEN, particularly in Han Chinese and Southeast Asian patients. On the other hand, patch tests seem to perform better in the diagnosis of carbamazepine and phenytoin induced DRESS.
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Affiliation(s)
- Lisanne E. N. Manson
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, Netherlands
| | - Patricia C. Y. Chan
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, Netherlands
| | - Stefan Böhringer
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, Netherlands
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, Netherlands
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Xi P, Wang H, Zhong Z, Liu S, Tang J, Guo C, Dai P. rs144012689 is a highly specific representative marker of HLA-B*15:02 in the Chinese population. Pharmacogenomics 2022; 23:835-845. [PMID: 36169168 DOI: 10.2217/pgs-2022-0075] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Objective: To develop an accurate and rapid real-time PCR technique for HLA-B*15:02 genotyping and investigate HLA-B*15:02 allele frequency in four ethnic populations in China. Materials & methods: Based on the highly specific representative markers, a real-time PCR assay was developed for HLA-B*15:02 genotyping, and HLA-B*15:02 allele frequencies were screened in four ethnic populations of China. Sequence-based typing was used to validate the accuracy of the assay. Results: The sensitivity and specificity of the assay were 100%, and the detection limit was 0.2 ng. The frequency of HLA-B*15:02 alleles distributed in the Bouyei population was significantly higher than in the Han group (p < 0.01). Neither the Tibetan nor the Uyghur population carried the HLA-B*15:02 haplotype. Conclusion: The authors developed an accurate HLA-B*15:02 genotyping method for evaluating the risk of adverse drug reactions induced by carbamazepine in various ethnic populations in China.
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Affiliation(s)
- Pei Xi
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an, Shaanxi Province, 710069, China.,Shaanxi Lifegen Co.,Ltd, Building 1, Collaborative Innovation Port, Fengdong New City, Xixian New Area, Xi'an, Shaanxi Province, 712000, China
| | - Hao Wang
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an, Shaanxi Province, 710069, China
| | - Zihua Zhong
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an, Shaanxi Province, 710069, China
| | - Shihui Liu
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an, Shaanxi Province, 710069, China
| | - Jiaxuan Tang
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an, Shaanxi Province, 710069, China
| | - Chunli Guo
- Pulmonary and Critical Care Medicine, Tongchuan People's Hospital, Tongchuan, Shaanxi Province, People's Republic of China
| | - Penggai Dai
- National Engineering Research Center for Miniaturized Detection Systems, College of Life Science, Northwest University of Xi'an, Shaanxi Province, 710069, China.,Shaanxi Lifegen Co.,Ltd, Building 1, Collaborative Innovation Port, Fengdong New City, Xixian New Area, Xi'an, Shaanxi Province, 712000, China
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Photo-regulated self-assembly and photo-tailored drug-release kinetics from a polymeric supramolecular nanocage. Eur Polym J 2022. [DOI: 10.1016/j.eurpolymj.2022.111494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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40
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Haidar CE, Crews KR, Hoffman JM, Relling MV, Caudle KE. Advancing Pharmacogenomics from Single-Gene to Preemptive Testing. Annu Rev Genomics Hum Genet 2022; 23:449-473. [PMID: 35537468 PMCID: PMC9483991 DOI: 10.1146/annurev-genom-111621-102737] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Pharmacogenomic testing can be an effective tool to enhance medication safety and efficacy. Pharmacogenomically actionable medications are widely used, and approximately 90-95% of individuals have an actionable genotype for at least one pharmacogene. For pharmacogenomic testing to have the greatest impact on medication safety and clinical care, genetic information should be made available at the time of prescribing (preemptive testing). However, the use of preemptive pharmacogenomic testing is associated with some logistical concerns, such as consistent reimbursement, processes for reporting preemptive results over an individual's lifetime, and result portability. Lessons can be learned from institutions that have implemented preemptive pharmacogenomic testing. In this review, we discuss the rationale and best practices for implementing pharmacogenomics preemptively.
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Affiliation(s)
- Cyrine E Haidar
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
| | - Kristine R Crews
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
| | - James M Hoffman
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
- Office of Quality and Safety, St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Mary V Relling
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
| | - Kelly E Caudle
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee, USA; , , , ,
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41
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Zhou Y, Tremmel R, Schaeffeler E, Schwab M, Lauschke VM. Challenges and opportunities associated with rare-variant pharmacogenomics. Trends Pharmacol Sci 2022; 43:852-865. [PMID: 36008164 DOI: 10.1016/j.tips.2022.07.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 06/15/2022] [Accepted: 07/29/2022] [Indexed: 12/26/2022]
Abstract
Recent advances in next-generation sequencing (NGS) have resulted in the identification of tens of thousands of rare pharmacogenetic variations with unknown functional effects. However, although such pharmacogenetic variations have been estimated to account for a considerable amount of the heritable variability in drug response and toxicity, accurate interpretation at the level of the individual patient remains challenging. We discuss emerging strategies and concepts to close this translational gap. We illustrate how massively parallel experimental assays, artificial intelligence (AI), and machine learning can synergize with population-scale biobank projects to facilitate the interpretation of NGS data to individualize clinical decision-making and personalized medicine.
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Affiliation(s)
- Yitian Zhou
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Roman Tremmel
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany; University of Tübingen, Tübingen, Germany
| | - Elke Schaeffeler
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany; University of Tübingen, Tübingen, Germany; Cluster of Excellence iFIT (EXC2180) Image-Guided and Functionally Instructed Tumor Therapies, University of Tübingen, Tübingen, Germany
| | - Matthias Schwab
- Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany; Cluster of Excellence iFIT (EXC2180) Image-Guided and Functionally Instructed Tumor Therapies, University of Tübingen, Tübingen, Germany; Department of Clinical Pharmacology, and Department of Biochemistry and Pharmacy, University of Tübingen, Tübingen, Germany
| | - Volker M Lauschke
- Department of Physiology and Pharmacology, Karolinska Institutet, 171 77 Stockholm, Sweden; Dr Margarete Fischer-Bosch Institute of Clinical Pharmacology, Stuttgart, Germany; University of Tübingen, Tübingen, Germany.
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42
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Gloor Y, Lloret-Linares C, Bosilkovska M, Perroud N, Richard-Lepouriel H, Aubry JM, Daali Y, Desmeules JA, Besson M. Drug metabolic enzyme genotype-phenotype discrepancy: High phenoconversion rate in patients treated with antidepressants. Biomed Pharmacother 2022; 152:113202. [PMID: 35653884 DOI: 10.1016/j.biopha.2022.113202] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 05/23/2022] [Accepted: 05/23/2022] [Indexed: 11/02/2022] Open
Abstract
Cytochromes from the P450 family (CYP) play a central role in the primary metabolism of frequently prescribed antidepressants, potentially affecting their efficacy and tolerance. There are however important differences in the drug metabolic capacities of each individual resulting from a combination of intrinsic and environmental factors. This variability can present an important risk for patients and increases the difficulty of drug prescription in clinical practice. Pharmacogenetic studies have uncovered a number of alleles defining the intrinsic metabolizer status, however, additional factors affecting cytochrome activity can modify this activity and result in a phenoconversion. The present study investigates the discrepancy between the genetically predicted and actually measured activities for the six most important liver cytochromes (CYP1A2, CYP2B6, CYP2C9, CYP2C19, CYP2D6 and CYP3A4) in a cohort of patients under antidepressant treatment, previously shown to have a high proportion of patients with low metabolizing activities. We now performed the genetic characterization of this cohort to determine the extent of the genetic versus environmental contribution in these decreased activities. For all enzyme tested, we observed an important rate of phenoconversion, affecting between 33 % and 65 % of the patients, as well as a significant (p < 1E-06) global reduction in the effective but not predicted activities of CYP2D6, CYP2C9 and CYP2C19 compared to the general population. Our results highlight the advantages of phenotyping versus genotyping as well as the increased risk of treatment failure or adverse effect occurrence in a polymedicated population.
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Affiliation(s)
- Y Gloor
- Division of Clinical Pharmacology and Toxicology, Department of Anesthesiology, Pharmacology, Intensive Care and Emergency, Geneva University Hospitals (HUG), Geneva, Switzerland.
| | - C Lloret-Linares
- Department of Nutritional and Metabolic Diseases, Ramsay Générale de Santé, Pays de Savoie Private Hospital, Annemasse, France
| | - M Bosilkovska
- Clinical Pharmacology and Toxicology, Department of Anaesthetics Pharmacology and Intensive Care, University of Geneva, Geneva, Switzerland
| | - N Perroud
- Division of Psychiatric Specialties, Department of Mental Health and Psychiatry, University of Geneva, Geneva, Switzerland; Division of Psychiatric Specialties, Department of Psychiatry, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - H Richard-Lepouriel
- Division of Psychiatric Specialties, Department of Mental Health and Psychiatry, University of Geneva, Geneva, Switzerland; Division of Psychiatric Specialties, Department of Psychiatry, Geneva University Hospitals (HUG), Geneva, Switzerland
| | - J-M Aubry
- Division of Psychiatric Specialties, Department of Mental Health and Psychiatry, University of Geneva, Geneva, Switzerland
| | - Y Daali
- Division of Clinical Pharmacology and Toxicology, Department of Anesthesiology, Pharmacology, Intensive Care and Emergency, Geneva University Hospitals (HUG), Geneva, Switzerland; Clinical Pharmacology and Toxicology, Department of Anaesthetics Pharmacology and Intensive Care, University of Geneva, Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University of Geneva, Geneva, Switzerland
| | - J A Desmeules
- Division of Clinical Pharmacology and Toxicology, Department of Anesthesiology, Pharmacology, Intensive Care and Emergency, Geneva University Hospitals (HUG), Geneva, Switzerland; Clinical Pharmacology and Toxicology, Department of Anaesthetics Pharmacology and Intensive Care, University of Geneva, Geneva, Switzerland; Institute of Pharmaceutical Sciences of Western Switzerland (ISPSO), University of Geneva, Geneva, Switzerland
| | - M Besson
- Division of Clinical Pharmacology and Toxicology, Department of Anesthesiology, Pharmacology, Intensive Care and Emergency, Geneva University Hospitals (HUG), Geneva, Switzerland; Clinical Pharmacology and Toxicology, Department of Anaesthetics Pharmacology and Intensive Care, University of Geneva, Geneva, Switzerland
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43
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McDermott JH, Leach M, Sen D, Smith CJ, Newman WG, Bath PM. The role of CYP2C19 genotyping to guide antiplatelet therapy following ischemic stroke or transient ischemic attack. Expert Rev Clin Pharmacol 2022; 15:811-825. [PMID: 35912831 PMCID: PMC9612933 DOI: 10.1080/17512433.2022.2108401] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Introduction Clopidogrel is an antiplatelet agent recommended for secondary prevention of ischemic stroke (IS) and transient ischemic attack (TIA). Conversion of clopidogrel to its active metabolite by hepatic cytochrome P450-2C19 (CYP2C19) is essential for the inhibition of the P2Y12 receptor and subsequent platelet aggregation to prevent thrombotic events. CYP2C19 is highly polymorphic, with over 30 loss of function (LoF) alleles. This review considers whether there is sufficient data to support genotype guided antiplatelet therapy after stroke. Areas covered A systematic literature review retrieved articles, which describe the interaction between CYP2C19 genotype and clinical outcomes following IS or TIA when treated with clopidogrel. The review documents efforts to identify optimal antiplatelet regimens and explores the value genotype guided antiplatelet therapy. The work outlines the contemporary understanding of clopidogrel metabolism and appraises evidence linking CYP2C19 LoF variants with attenuated platelet inhibition and poorer outcomes. Expert opinion There is good evidence that CYP2C19 LoF allele carriers of Han-Chinese ancestry have increased risk for further vascular events following TIA or IS when treated with clopidogrel. The evidence base is less certain in other populations. The expansion of pharmacogenetics into routine clinical practice will facilitate further research and help tailor other aspects of secondary prevention.
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Affiliation(s)
- John H McDermott
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK.,The Division of Evolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Marc Leach
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK
| | - Dwaipayan Sen
- Greater Manchester Comprehensive Stroke Centre, Geoffrey Jefferson Brain Research Centre, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, UK
| | - Craig J Smith
- Greater Manchester Comprehensive Stroke Centre, Geoffrey Jefferson Brain Research Centre, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, UK.,Division of Cardiovascular Sciences, Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - William G Newman
- Manchester Centre for Genomic Medicine, St Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, M13 9WL, UK.,The Division of Evolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, UK
| | - Philip M Bath
- Stroke Trials Unit, Mental Health & Clinical Neuroscience, University of Nottingham, Nottingham, UK.,Stroke, Nottingham University Hospitals NHS Trust, Queen's Medical Centre, Nottingham, UK
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Uthansingh K, Parida PK, Pati GK, Sahu MK, Padhy RN. Evaluating the Association of Genetic Polymorphism of Cytochrome p450 (CYP2C9*3) in Gastric Cancer Using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP). Cureus 2022; 14:e27220. [PMID: 36035062 PMCID: PMC9399687 DOI: 10.7759/cureus.27220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/25/2022] [Indexed: 11/05/2022] Open
Abstract
Background and aim As a distinguished system, the cytochrome P450 (CYP) enzyme superfamily is involved in the biotransformation of several endogenous and exogenous substances including drugs, toxins, and carcinogens. Reports on the role of CYP enzyme in gastric cancer (GC) from the Eastern region of India are scarce. The present study aimed to evaluate the effect of single nucleotide polymorphisms (SNP) in cytochrome P450 family 2 subfamily C member 9 (CYP2C9*3) among cases with gastric malignancy. Material and methods The current study is a cross-sectional observational study carried out among 113 GC cases attending the Institute of Medical Sciences and SUM Hospital, Bhubaneswar, India, and Srirama Chandra Bhanja Medical College and Hospital, Cuttack, India. Two ml of venous blood was collected from the confirmed cases of GC. The samples were subjected to genomic DNA isolation followed by polymerase chain reaction (PCR) and restriction fragment length polymorphism (PCR-RFLP). Results The prevalence of both homozygous and heterozygous mutation in GC cases is 4% and 8%, respectively. The overall association of cytochrome P450 family 2 subfamily C member 9 (CYP2C9) mutation in GC cases is 12% whereas 88% were detected as wild/standard type. The mutation CYP2C9 SNP has been seen in Helicobacter pylori-infected cases and as well as those without H. pylori infection. Conclusions The CYP2C9*3 genetic polymorphism might play a significant role as a risk factor for the development of gastric malignancy irrespective of H. pylori infection, among the eastern Indian population.
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45
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Daly AK. Pharmacogenetics of the cytochromes P450: Selected pharmacological and toxicological aspects. ADVANCES IN PHARMACOLOGY (SAN DIEGO, CALIF.) 2022; 95:49-72. [PMID: 35953163 DOI: 10.1016/bs.apha.2022.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
With the availability of detailed genomic data on all 57 human cytochrome P450 genes, it is clear that there is substantial variability in gene product activity with functionally significant polymorphisms reported across almost all isoforms. This article is concerned mainly with 13 P450 isoforms of particular relevance to xenobiotic metabolism. After brief review of the extent of polymorphism in each, the relevance of selected P450 isoforms to both adverse drug reaction and disease susceptibility is considered in detail. Bleeding due to warfarin and other coumarin anticoagulants is considered as an example of a type A reaction with idiosyncratic adverse drug reactions affecting the liver and skin as type B. It is clear that CYP2C9 variants contribute significantly to warfarin dose requirement and also risk of bleeding, with a minor contribution from CYP4F2. In the case of idiosyncratic adverse drug reactions, CYP2B6 variants appear relevant to both liver and skin reactions to several drugs with CYP2C9 variants also relevant to phenytoin-related skin rash. The relevance of P450 genotype to disease susceptibility is also considered but detailed genetic studies now suggest that CYP2A6 is the only P450 relevant to risk of lung cancer with alleles associated with low or absent activity clearly protective against disease. Other cytochrome P450 genotypes are generally not predictors for risk of cancer or other complex disease development.
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Affiliation(s)
- Ann K Daly
- Translational and Clinical Research Institute, Newcastle University, Newcastle Upon Tyne, United Kingdom.
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46
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Elzagallaai AA, Rieder MJ. Genetic markers of drug hypersensitivity in pediatrics: current state and promise. Expert Rev Clin Pharmacol 2022; 15:715-728. [DOI: 10.1080/17512433.2022.2100345] [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]
Affiliation(s)
- Abdelbaset A Elzagallaai
- Department of Paediatrics Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
- Department of Physiology and Pharmacology Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
| | - Michael J Rieder
- Department of Physiology and Pharmacology Schulich School of Medicine and Dentistry, Western University, London, ON, Canada
- Robarts Research Institute, Western University, London, Ontario, Canada
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47
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Wanounou M, Shaul C, Abu Ghosh Z, Alamia S, Caraco Y. The Impact of CYP2C9*11 Allelic Variant on the Pharmacokinetics of Phenytoin and (S)-Warfarin. Clin Pharmacol Ther 2022; 112:156-163. [PMID: 35426132 PMCID: PMC9322346 DOI: 10.1002/cpt.2613] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 04/07/2022] [Indexed: 12/21/2022]
Abstract
Cytochrome P450 2C9 (CYP2C9) is responsible for the oxidative metabolism of about 15% of commonly used drugs, some of which are characterized by a narrow therapeutic window. CYP2C9 is highly polymorphic, and over 60 alleles have been described. CYP2C9*2 and CYP2C9*3 are the most common polymorphisms among White patients and both are associated with decreased activity. The evidence concerning the functional importance of less frequent variant alleles is scarce. The objective of the current study was to characterize the in vivo activity of CYP2C9 among carriers of CYP2C9*11, one of the "African" alleles and the fourth most common CYP2C9 variant allele among White patients by using two prototype substrates, phenytoin and (S)-warfarin. Single 300-mg phenytoin and 20-mg warfarin doses were given to 150 healthy Ethiopian Jewish participants who were nonsmokers, at least one week apart. (S)-warfarin oral clearance and phenytoin metabolic ratio (PMR) derived from the ratio of 5-(4-hydroxyphenyl)-5-phenylhydantoin in 24-hour urine collection to plasma phenytoin 12 hours (PMR 24/12) or 24 hours (PMR 24/24) post dosing, were used as markers of CYP2C9 activity. PMR 24/12 and PMR 24/24 were reduced by 50% and 62.2%, respectively, among carriers of CYP2C9*1/*11 (n = 13) as compared with carriers of CYP2C9*1/*1 (n = 127) (false discovery rate (FDR) q < 0.001). The respective decrease in (S)-warfarin oral clearance was 52.6% (FDR q < 0.001). In conclusion, the enzyme encoded by CYP2C9*11 is characterized by a more than 50% decrease in the enzymatic activity, resembling the extent of decrease associated with CYP2C9*3 ("no-function allele"). Among patients of African ancestry, CYP2C9*11 genetic analysis should be considered prior to prescribing of narrow therapeutic window drugs such as phenytoin, warfarin, nonsteroidal anti-inflammatory drugs, or siponimod.
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Affiliation(s)
- Maor Wanounou
- Clinical Pharmacology Unit, Division of Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.,Faculty of Medicine, Institute of Drug Research, School of Pharmacy, Hebrew University, Jerusalem, Israel
| | - Chanan Shaul
- Clinical Pharmacology Unit, Division of Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.,Faculty of Medicine, Institute of Drug Research, School of Pharmacy, Hebrew University, Jerusalem, Israel
| | - Zahi Abu Ghosh
- Clinical Pharmacology Unit, Division of Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Shoshana Alamia
- Clinical Pharmacology Unit, Division of Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
| | - Yoseph Caraco
- Clinical Pharmacology Unit, Division of Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel
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48
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Management of Drug-Induced Epidermal Necrolysis (DEN) in Pediatric Patients: Moving from Drug-Induced Stevens-Johnson Syndrome, Overlap and Toxic Epidermal Necrolysis to a Single Unifying Diagnosis of DEN. Paediatr Drugs 2022; 24:307-319. [PMID: 35676614 DOI: 10.1007/s40272-022-00515-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/26/2022] [Indexed: 10/18/2022]
Abstract
Pediatric Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are rare but life-threating blistering diseases triggered by medications that affect the skin and mucosae. Drug-induced epidermal necrolysis is a better term for medication-triggered cases because there is a spectrum of disease severity that otherwise is divided into the separate entities of SJS, overlap SJS/TEN, and TEN. This manuscript reviews the management of drug-induced epidermal necrolysis (DEN), including diagnosis, investigations to exclude differential diagnoses, and treatment. Diagnosis of DEN relies on clinical features and a detailed medication history. The primary differential diagnosis is reactive infectious mucocutaneous eruption, which can be clinically distinguished by its disproportionate mucous membrane involvement relative to (sparse or absent) skin lesions. Identification and discontinuation of culprit medications is the mainstay of treatment of DEN. Early initiation of immunomodulatory therapy may prevent progression, reducing maximal disease severity and the risk of sequelae. A checklist approach to detailed management of DEN is proposed.
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49
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Deshpande P, Li Y, Thorne M, Palubinsky AM, Phillips EJ, Gibson A. Practical Implementation of Genetics: New Concepts in Immunogenomics to Predict, Prevent, and Diagnose Drug Hypersensitivity. THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2022; 10:1689-1700. [PMID: 35526777 PMCID: PMC9948495 DOI: 10.1016/j.jaip.2022.04.027] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 04/26/2022] [Accepted: 04/26/2022] [Indexed: 02/05/2023]
Abstract
Delayed drug hypersensitivities are CD8+ T cell-mediated reactions associated with up to 50% mortality. Human leukocyte antigen (HLA) alleles are known to predispose disease and are specific to drug, reaction, and patient ethnicity. Pretreatment screening is recommended for a handful of the strongest associations to identify and prevent drug use in high-risk patients. However, an incomplete predictive value implicates other HLA-imposed risk factors, and low carriage of many identified HLA-risk alleles combined with the high cost of sequence-based typing has limited economic viability for similar recommendation of screening across drugs and health care systems. For mitigation, an expanding armory of low-cost polymerase chain reaction-based screens is being developed, and HLA-imposed risk factors are being discovered. These include (1) polymorphic variants of metabolic and endoplasmic reticulum aminopeptidase enzymes toward multiallelic screening with increased predictivity; (2) regulation by immune checkpoint inhibitors, enabling detolerized animal models of human disease; and (3) immunodominant T cell receptors (TCR) on clonally expanded CD8+ T cells. For the latter, HLA risk-restricted TCR provides immunogenomic strategies and samples from a single patient to identify novel HLA-risk associations in underserved minority populations, tissue-relevant effector biomarkers toward earlier diagnosis and treatment, and HLA-TCR-presented immunogenic structures to aid future drug development.
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Affiliation(s)
- Pooja Deshpande
- Institute for Immunology and Infectious Disease (IIID), Murdoch University, Perth, WA, Australia
| | - Yueran Li
- Institute for Immunology and Infectious Disease (IIID), Murdoch University, Perth, WA, Australia
| | - Michael Thorne
- Institute for Immunology and Infectious Disease (IIID), Murdoch University, Perth, WA, Australia
| | | | - Elizabeth J Phillips
- Institute for Immunology and Infectious Disease (IIID), Murdoch University, Perth, WA, Australia,Vanderbilt University Medical Centre (VUMC), Nashville, TN, USA
| | - Andrew Gibson
- Institute for Immunology and Infectious Disease, Murdoch University, Perth, Western Australia, Australia.
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50
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Maruf AA, Bousman CA. Approaches and hurdles of implementing pharmacogenetic testing in the psychiatric clinic. PCN REPORTS : PSYCHIATRY AND CLINICAL NEUROSCIENCES 2022; 1:e26. [PMID: 38868642 PMCID: PMC11114389 DOI: 10.1002/pcn5.26] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 05/07/2022] [Accepted: 06/01/2022] [Indexed: 06/14/2024]
Abstract
Pharmacogenetic (PGx) testing has emerged as a tool for predicting a person's ability to process and react to drugs. Despite the growing evidence-base, enthusiasm, and successful efforts to implement PGx testing in psychiatry, a consensus on how best to implement PGx testing into practice has not been established and numerous hurdles to widespread adoption remain to be overcome. In this article, we summarize the most used approaches and commonly encountered hurdles when implementing PGx testing into routine psychiatric care. We also highlight effective strategies that have been used to overcome hurdles. These strategies include the development of user-friendly clinical workflows for test ordering, use, and communication of results, establishment of test standardization and reimbursement policies, and development of tailored curriculums for educating health-care providers and the public. Although knowledge and awareness of these approaches and strategies to overcome hurdles alone may not be sufficient for successful implementation, they are necessary to ensure the effective spread, scale, and sustainability of PGx testing in psychiatry and other areas of medicine.
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Affiliation(s)
- Abdullah Al Maruf
- Rady Faculty of Health Sciences, College of PharmacyUniversity of ManitobaWinnipegManitobaCanada
- Children's Hospital Research Institute of ManitobaWinnipegManitobaCanada
- Centre on AgingUniversity of ManitobaWinnipegManitobaCanada
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada
- Departments of Psychiatry and Physiology & PharmacologyUniversity of CalgaryCalgaryAlbertaCanada
| | - Chad A. Bousman
- The Mathison Centre for Mental Health Research & Education, Hotchkiss Brain InstituteUniversity of CalgaryCalgaryAlbertaCanada
- Departments of Psychiatry and Physiology & PharmacologyUniversity of CalgaryCalgaryAlbertaCanada
- Department of Medical GeneticsUniversity of CalgaryCalgaryAlbertaCanada
- Department of Community Health SciencesUniversity of CalgaryCalgaryAlbertaCanada
- Alberta Children's Hospital Research InstituteUniversity of CalgaryCalgaryAlbertaCanada
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