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Nguyen TK, Vu GM, Duong VC, Pham TL, Nguyen NT, Tran TTH, Tran MH, Nguyen DT, Vo NS, Phung HT, Hoang TH. The therapeutic landscape for COVID-19 and post-COVID-19 medications from genetic profiling of the Vietnamese population and a predictive model of drug-drug interaction for comorbid COVID-19 patients. Heliyon 2024; 10:e27043. [PMID: 38509882 PMCID: PMC10950508 DOI: 10.1016/j.heliyon.2024.e27043] [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: 01/11/2023] [Revised: 12/13/2023] [Accepted: 02/22/2024] [Indexed: 03/22/2024] Open
Abstract
Despite the raised awareness of the role of pharmacogenomic (PGx) in personalized medicines for COVID-19, data for COVID-19 drugs is extremely scarce and not even a publication on this topic for post-COVID-19 medications to date. In the current study, we investigated the genetic variations associated with COVID-19 and post-COVID-19 therapies by using whole genome sequencing data of the 1000 Vietnamese Genomes Project (1KVG) in comparison with other populations retrieved from the 1000 Genomes Project Phase 3 (1KGP3) and the Genome Aggregation Database (gnomAD). Moreover, we also evaluated the risk of drug interactions in comorbid COVID-19 and post-COVID-19 patients based on pharmacogenomic profiles of drugs using a computational approach. For COVID-19 therapies, variants related to the response of two causal treatment agents (tolicizumab and ritonavir) and antithrombotic drugs are common in the Vietnamese cohort. Regarding post-COVID-19, drugs for mental manipulations possess the highest number of clinical annotated variants carried by Vietnamese individuals. Among the superpopulations, East Asian populations shared the most similar genetic structure with the Vietnamese population, whereas the African population showed the most difference. Comorbid patients are at an increased drug-drug interaction (DDI) risk when suffering from COVID-19 and after recovering as well due to a large number of potential DDIs which have been identified. Our results presented the population-specific understanding of the pharmacogenomic aspect of COVID-19 and post-COVID-19 therapy to optimize therapeutic outcomes and promote personalized medicine strategy. We also partly clarified the higher risk in COVID-19 patients with underlying conditions by assessing the potential drug interactions.
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Affiliation(s)
| | - Giang Minh Vu
- Center for Biomedical Informatics, Vingroup Big Data Institute, Hanoi, Viet Nam
- GeneStory JSC, Hanoi, Viet Nam
| | - Vinh Chi Duong
- Center for Biomedical Informatics, Vingroup Big Data Institute, Hanoi, Viet Nam
- GeneStory JSC, Hanoi, Viet Nam
| | | | | | - Trang Thi Ha Tran
- Center for Biomedical Informatics, Vingroup Big Data Institute, Hanoi, Viet Nam
- GeneStory JSC, Hanoi, Viet Nam
| | - Mai Hoang Tran
- Center for Biomedical Informatics, Vingroup Big Data Institute, Hanoi, Viet Nam
- GeneStory JSC, Hanoi, Viet Nam
| | - Duong Thuy Nguyen
- Center for Biomedical Informatics, Vingroup Big Data Institute, Hanoi, Viet Nam
- GeneStory JSC, Hanoi, Viet Nam
| | - Nam S. Vo
- Center for Biomedical Informatics, Vingroup Big Data Institute, Hanoi, Viet Nam
- GeneStory JSC, Hanoi, Viet Nam
| | - Huong Thanh Phung
- Faculty of Biotechnology, Hanoi University of Pharmacy, Hanoi, Viet Nam
| | - Tham Hong Hoang
- Center for Biomedical Informatics, Vingroup Big Data Institute, Hanoi, Viet Nam
- GeneStory JSC, Hanoi, Viet Nam
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Alqasrawi MN, Al-Mahayri ZN, Alblooshi H, Alsafar H, Ali BR. Utilizing Pharmacogenomic Data for a Safer Use of Statins among the Emirati Population. Curr Vasc Pharmacol 2024; 22:218-229. [PMID: 38284696 DOI: 10.2174/0115701611283841231227064343] [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: 09/23/2023] [Revised: 12/09/2023] [Accepted: 12/12/2023] [Indexed: 01/30/2024]
Abstract
BACKGROUND Statins are the most prescribed lipid-lowering drugs worldwide. The associated adverse events, especially muscle symptoms, have been frequently reported despite their perceived safety. Three pharmacogenes, the solute carrier organic anion transporter family member 1B1 (SLCO1B1), ATP-binding cassette subfamily G member 2 (ABCG2), and cytochrome P450 2C9 (CYP2C9) are suggested as safety biomarkers for statins. The Clinical Pharmacogenomic Implementation Consortium (CPIC) issued clinical guidelines for statin use based on these three genes. OBJECTIVES The present study aimed to examine variants in these pharmacogenes to predict the safety of statin use among the Emirati population. METHODS Analyzing 242 whole exome sequencing data at the three genes enabled the determination of the frequencies of the single nucleotide polymorphisms (SNPs), annotating the haplotypes and the predicted functions of their proteins. RESULTS In our cohort, 29.8% and 5.4% had SLCO1B1 decreased and poor function, respectively. The high frequency warns of the possibility of significant side effects of some statins and the importance of pharmacogenomic testing. We found a low frequency (6%) of the ABCG2:rs2231142 variant, which indicates the low probability of Emirati patients being recommended against higher rosuvastatin doses compared with other populations with higher frequencies of this variant. In contrast, we found high frequencies of the functionally impaired CYP2C9 alleles, which makes fluvastatin a less favorable choice. CONCLUSION Among the sparse studies available, the present one demonstrates all SLCO1B1 and CYP2C9 function-impairing alleles among Emiratis. We highlighted how population-specific pharmacogenomic data can predict safer choices of statins, especially in understudied populations.
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Affiliation(s)
- Mais N Alqasrawi
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Zeina N Al-Mahayri
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Hiba Alblooshi
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Habiba Alsafar
- Department of Biomedical Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
- Center for Biotechnology, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates
| | - Bassam R Ali
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
- ASPIRE Precision Medicine Research Institute Abu Dhabi, United Arab Emirates University, Al Ain, United Arab Emirates
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Guo G, Liang S, Guan Z, Zhu K. Effect of direct oral anticoagulants in patients with atrial fibrillation with mitral or aortic stenosis: A review. Front Cardiovasc Med 2022; 9:1070806. [DOI: 10.3389/fcvm.2022.1070806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 10/31/2022] [Indexed: 11/18/2022] Open
Abstract
BackgroundSeveral studies have summarized the clinical performance of direct oral anticoagulants (DOACs) in atrial fibrillation (AF) patients with mitral stenosis or aortic stenosis. The significance of this review was to provide clinicians the latest update of the clinical application of DOACs in managing this specific population.MethodsLiteratures from the PubMed database up to July 2022 were screened for inclusion. Studies on the effect of DOACs in patients suffering from AF with mitral or aortic stenosis were assessed for further selection.ResultsResults from four studies were gathered: the RISE MS trial, the DAVID-MS study, and two observational studies. In the Korean observational study with a 27-month follow-up duration and a sample population consisted of patients with mitral stenosis and AF, the thromboembolic events happened at a rate of 2.22%/ year in the DOAC group and 4.19%/year in the warfarin group (adjusted hazard ratio: 0.28; 95% CI: 0.18–0.45). Intracranial hemorrhage occurred at rates of 0.49% and 0.93% in the DOAC and the warfarin groups, respectively (adjusted hazard ratio: 0.53; 95% CI: 0.22–1.26). In the Danish observational study, which had a sample pool with AF patients with aortic stenosis, reported that the adjusted hazard ratios for thromboembolism and major bleeding were 1.62 (95% CI, 1.08–2.45) and 0.73 (95% CI, 0.59–0.91) for DOACs compared with warfarin during 3 years of follow-up. In the RISE-MS trial involving AF patients with mitral stenosis, there were no differences in ischemic stroke, systemic embolic events, or major bleeding between the rivaroxaban vs. warfarin groups during a 1-year follow-up as well as equal rate of increased thrombogenicity in the left atrial appendage at 6 months. The rate of silent cerebral ischemia at 12 months was higher in the warfarin group (17.6%) than that in the rivaroxaban group (13.3%).ConclusionsCurrent published studies supported DOACs' effectiveness in preventing thromboembolism in patients of AF with mitral or aortic stenosis. Further clinical trials could confirm these findings.
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Jarrar Y, Lee SJ. Demand for Pharmacogenomics and Personalized Medicine in the United Arab Emirates. J Pers Med 2022; 12:jpm12010104. [PMID: 35055419 PMCID: PMC8779682 DOI: 10.3390/jpm12010104] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Accepted: 01/11/2022] [Indexed: 12/10/2022] Open
Affiliation(s)
- Yazun Jarrar
- Department of Pharmacy, Al-Zaytoonah University of Jordan, Amman 11733, Jordan;
| | - Su-Jun Lee
- Department of Pharmacology and Pharmacogenomics Research Center, College of Medicine, Inje University, Busan 50834, Korea
- Correspondence:
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Rahma AT, Elbarazi I, Ali BR, Patrinos GP, Ahmed LA, Al-Maskari F. Stakeholders' Interest and Attitudes toward Genomic Medicine and Pharmacogenomics Implementation in the United Arab Emirates: A Qualitative Study. Public Health Genomics 2021; 24:99-109. [PMID: 33730737 DOI: 10.1159/000513753] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 11/24/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND AND AIM Mapping the power, interest, and stance of stakeholders is a cornerstone for genomic medicine implementation. In this study, we aimed at mapping the power/interest of various stakeholders in United Arab Emirates (UAE) and exploring their attitudes toward pressing health genomics aspects. The overarching aim of this study is to facilitate the construction of a road map for the full implementation of genomic medicine and pharmacogenomics in the UAE with potential applicability to many healthcare systems around the world. METHODS A qualitative approach using in-depth interview was employed. Heterogeneous stakeholders were identified by experts in the field. The analysis of the data was a hybrid of deductive and inductive approach using NVivo software for coding and analysis. RESULTS 13 interviews were conducted. Following mapping the Mendelow's matrix, we categorized the stakeholders in UAE to promoter, latent, defender, and apathetic. Most of the interviewed stakeholders emphasized the clinical demand for genomic medicine in UAE. However, many of them were less inclined to articulate the need for pharmacogenomics at the moment. The majority of stakeholders in UAE were in favor of building infrastructure for better genetic services in the country. Stakeholder from an insurance sector had contradicting stance about the cost-effectiveness of genomic medicine; the majority were concerned with the legal and ethical aspects of genomic medicine and had an opposing stance on direct-to-consumer kits. CONCLUSIONS Implementing the Mendelow's model will allow the systematic strategy for implementing genomic medicine in UAE. This can be achieved by engaging the key players (promoters and defenders) as well as engaging and satisfying the latent stakeholder.
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Affiliation(s)
- Azhar T Rahma
- Institute of Public Health, College of Medicine & Health Science, UAE University, Al Ain, United Arab Emirates
| | - Iffat Elbarazi
- Institute of Public Health, College of Medicine & Health Science, UAE University, Al Ain, United Arab Emirates
| | - Bassam R Ali
- Department of Genomics and Genetics, College of Medicine & Health Science, UAE University, Al Ain, United Arab Emirates.,Zayed Center for Health Sciences, UAE University, Al Ain, United Arab Emirates
| | - George P Patrinos
- Department of Genomics and Genetics, College of Medicine & Health Science, UAE University, Al Ain, United Arab Emirates.,Zayed Center for Health Sciences, UAE University, Al Ain, United Arab Emirates.,Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Luai A Ahmed
- Institute of Public Health, College of Medicine & Health Science, UAE University, Al Ain, United Arab Emirates.,Zayed Center for Health Sciences, UAE University, Al Ain, United Arab Emirates
| | - Fatima Al-Maskari
- Institute of Public Health, College of Medicine & Health Science, UAE University, Al Ain, United Arab Emirates, .,Zayed Center for Health Sciences, UAE University, Al Ain, United Arab Emirates,
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Al-Mahayri ZN, Patrinos GP, Wattanapokayakit S, Iemwimangsa N, Fukunaga K, Mushiroda T, Chantratita W, Ali BR. Variation in 100 relevant pharmacogenes among emiratis with insights from understudied populations. Sci Rep 2020; 10:21310. [PMID: 33277594 PMCID: PMC7718919 DOI: 10.1038/s41598-020-78231-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 11/17/2020] [Indexed: 02/08/2023] Open
Abstract
Genetic variations have an established impact on the pharmacological response. Investigating this variation resulted in a compilation of variants in "pharmacogenes". The emergence of next-generation sequencing facilitated large-scale pharmacogenomic studies and exhibited the extensive variability of pharmacogenes. Some rare and population-specific variants proved to be actionable, suggesting the significance of population pharmacogenomic research. A profound gap exists in the knowledge of pharmacogenomic variants enriched in some populations, including the United Arab Emirates (UAE). The current study aims to explore the landscape of variations in relevant pharmacogenes among healthy Emiratis. Through the resequencing of 100 pharmacogenes for 100 healthy Emiratis, we identified 1243 variants, of which 63% are rare (minor allele frequency ≤ 0.01), and 30% were unique. Filtering the variants according to Pharmacogenomics Knowledge Base (PharmGKB) annotations identified 27 diplotypes and 26 variants with an evident clinical relevance. Comparison with global data illustrated a significant deviation of allele frequencies in the UAE population. Understudied populations display a distinct allelic architecture and various rare and unique variants. We underscored pharmacogenes with the highest variation frequencies and provided investigators with a list of candidate genes for future studies. Population pharmacogenomic studies are imperative during the pursuit of global pharmacogenomics implementation.
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Affiliation(s)
- Zeina N Al-Mahayri
- Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 17666, Al-Ain, United Arab Emirates
| | - George P Patrinos
- Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 17666, Al-Ain, United Arab Emirates.,Department of Pharmacy, School of Health Sciences, University of Patras, University Campus, Rion, Patras, Greece.,Zayed Center for Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
| | - Sukanya Wattanapokayakit
- Division of Genomic Medicine and Innovation Support, Department of Medical Sciences, Ministry of Public Health, Nonthaburi, Thailand
| | - Nareenart Iemwimangsa
- Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Koya Fukunaga
- Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Taisei Mushiroda
- Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Wasun Chantratita
- Center for Medical Genomics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Bassam R Ali
- Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, P.O. Box 17666, Al-Ain, United Arab Emirates. .,Zayed Center for Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates. .,Department of Genetics and Genomics, College of Medicine and Heath Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates.
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Knowledge, Attitudes, and Perceived Barriers toward Genetic Testing and Pharmacogenomics among Healthcare Workers in the United Arab Emirates: A Cross-Sectional Study. J Pers Med 2020; 10:jpm10040216. [PMID: 33182317 PMCID: PMC7711841 DOI: 10.3390/jpm10040216] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2020] [Revised: 10/27/2020] [Accepted: 11/05/2020] [Indexed: 02/05/2023] Open
Abstract
In order to successfully translate the scientific models of genetic testing and pharmacogenomics into clinical practice, empowering healthcare workers with the right knowledge and functional understanding on the subject is essential. Limited research in the United Arab Emirates (UAE) have assessed healthcare worker stances towards genomics. This study aimed to assess healthcare workers’ knowledge and attitudes on genetic testing. A cross-sectional study was conducted among healthcare workers practicing in either public or private hospitals or clinics as pharmacists, nurses, physicians, managers, and allied health. Participants were recruited randomly and via snowball techniques. Surveys were collected between April and September 2019; out of 552 respondents, 63.4% were female, the mean age was 38 (±9.6) years old. The mean knowledge score was 5.2 (±2.3) out of nine, which shows a fair level of knowledge. The scores of respondents of pharmacy were 5.1 (±2.5), medicine 6.0 (±2.0), and nursing 4.8 (±2.1). All participants exhibited a fair knowledge level about genetic testing and pharmacogenomics. Of the respondents, 91.9% showed a positive attitude regarding availability of genetic testing. The top identified barrier to implementation was the cost of testing (62%), followed by lack of training or education and insurance coverage (57.8% and 57.2%, respectively). Building upon the positive attitudes and tackling the barriers and challenges will pave the road for full implementation of genetic testing and pharmacogenomics in the UAE. We recommend empowering healthcare workers by improving needed and tailored competencies related to their area of practice. We strongly urge the stakeholders to streamline and benchmark the workflow, algorithm, and guidelines to standardize the health and electronic system. Lastly, we advocate utilizing technology and electronic decision support as well as the translational report to back up healthcare workers in the UAE.
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