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Hossam Abdelmonem B, Abdelaal NM, Anwer EKE, Rashwan AA, Hussein MA, Ahmed YF, Khashana R, Hanna MM, Abdelnaser A. Decoding the Role of CYP450 Enzymes in Metabolism and Disease: A Comprehensive Review. Biomedicines 2024; 12:1467. [PMID: 39062040 PMCID: PMC11275228 DOI: 10.3390/biomedicines12071467] [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: 04/16/2024] [Revised: 06/13/2024] [Accepted: 06/14/2024] [Indexed: 07/28/2024] Open
Abstract
Cytochrome P450 (CYP450) is a group of enzymes that play an essential role in Phase I metabolism, with 57 functional genes classified into 18 families in the human genome, of which the CYP1, CYP2, and CYP3 families are prominent. Beyond drug metabolism, CYP enzymes metabolize endogenous compounds such as lipids, proteins, and hormones to maintain physiological homeostasis. Thus, dysregulation of CYP450 enzymes can lead to different endocrine disorders. Moreover, CYP450 enzymes significantly contribute to fatty acid metabolism, cholesterol synthesis, and bile acid biosynthesis, impacting cellular physiology and disease pathogenesis. Their diverse functions emphasize their therapeutic potential in managing hypercholesterolemia and neurodegenerative diseases. Additionally, CYP450 enzymes are implicated in the onset and development of illnesses such as cancer, influencing chemotherapy outcomes. Assessment of CYP450 enzyme expression and activity aids in evaluating liver health state and differentiating between liver diseases, guiding therapeutic decisions, and optimizing drug efficacy. Understanding the roles of CYP450 enzymes and the clinical effect of their genetic polymorphisms is crucial for developing personalized therapeutic strategies and enhancing drug responses in diverse patient populations.
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Affiliation(s)
- Basma Hossam Abdelmonem
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, New Cairo 11835, Egypt; (B.H.A.); (M.A.H.); (Y.F.A.); (R.K.); (M.M.H.)
- Department of Microbiology and Immunology, Faculty of Pharmacy, October University for Modern Sciences & Arts (MSA), Giza 12451, Egypt
| | - Noha M. Abdelaal
- Biotechnology Graduate Program, School of Sciences and Engineering, The American University in Cairo, New Cairo 11835, Egypt; (N.M.A.); (E.K.E.A.); (A.A.R.)
| | - Eman K. E. Anwer
- Biotechnology Graduate Program, School of Sciences and Engineering, The American University in Cairo, New Cairo 11835, Egypt; (N.M.A.); (E.K.E.A.); (A.A.R.)
- Department of Microbiology and Immunology, Faculty of Pharmacy, Modern University for Technology and Information, Cairo 4411601, Egypt
| | - Alaa A. Rashwan
- Biotechnology Graduate Program, School of Sciences and Engineering, The American University in Cairo, New Cairo 11835, Egypt; (N.M.A.); (E.K.E.A.); (A.A.R.)
| | - Mohamed Ali Hussein
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, New Cairo 11835, Egypt; (B.H.A.); (M.A.H.); (Y.F.A.); (R.K.); (M.M.H.)
| | - Yasmin F. Ahmed
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, New Cairo 11835, Egypt; (B.H.A.); (M.A.H.); (Y.F.A.); (R.K.); (M.M.H.)
| | - Rana Khashana
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, New Cairo 11835, Egypt; (B.H.A.); (M.A.H.); (Y.F.A.); (R.K.); (M.M.H.)
| | - Mireille M. Hanna
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, New Cairo 11835, Egypt; (B.H.A.); (M.A.H.); (Y.F.A.); (R.K.); (M.M.H.)
| | - Anwar Abdelnaser
- Institute of Global Health and Human Ecology, School of Sciences and Engineering, The American University in Cairo, New Cairo 11835, Egypt; (B.H.A.); (M.A.H.); (Y.F.A.); (R.K.); (M.M.H.)
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Skokou M, Karamperis K, Koufaki MI, Tsermpini EE, Pandi MT, Siamoglou S, Ferentinos P, Bartsakoulia M, Katsila T, Mitropoulou C, Patrinos GP. Clinical implementation of preemptive pharmacogenomics in psychiatry. EBioMedicine 2024; 101:105009. [PMID: 38364700 PMCID: PMC10879811 DOI: 10.1016/j.ebiom.2024.105009] [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: 08/03/2023] [Revised: 01/28/2024] [Accepted: 01/30/2024] [Indexed: 02/18/2024] Open
Abstract
BACKGROUND Pharmacogenomics (PGx) holds promise to revolutionize modern healthcare. Although there are several prospective clinical studies in oncology and cardiology, demonstrating a beneficial effect of PGx-guided treatment in reducing adverse drug reactions, there are very few such studies in psychiatry, none of which spans across all main psychiatric indications, namely schizophrenia, major depressive disorder and bipolar disorder. In this study we aim to investigate the clinical effectiveness of PGx-guided treatment (occurrence of adverse drug reactions, hospitalisations and re-admissions, polypharmacy) and perform a cost analysis of the intervention. METHODS We report our findings from a multicenter, large-scale, prospective study of pre-emptive genome-guided treatment named as PREemptive Pharmacogenomic testing for preventing Adverse drug REactions (PREPARE) in a large cohort of psychiatric patients (n = 1076) suffering from schizophrenia, major depressive disorder and bipolar disorder. FINDINGS We show that patients with an actionable phenotype belonging to the PGx-guided arm (n = 25) present with 34.1% less adverse drug reactions compared to patients belonging to the control arm (n = 36), 41.2% less hospitalisations (n = 110 in the PGx-guided arm versus n = 187 in the control arm) and 40.5% less re-admissions (n = 19 in the PGx-guided arm versus n = 32 in the control arm), less duration of initial hospitalisations (n = 3305 total days of hospitalisation in the PGx-guided arm from 110 patients, versus n = 6517 in the control arm from 187 patients) and duration of hospitalisation upon readmission (n = 579 total days of hospitalisation upon readmission in the PGx-guided arm, derived from 19 patients, versus n = 928 in the control arm, from 32 patients respectively). It was also shown that in the vast majority of the cases, there was less drug dose administrated per drug in the PGx-guided arm compared to the control arm and less polypharmacy (n = 124 patients prescribed with at least 4 psychiatric drugs in the PGx-guided arm versus n = 143 in the control arm) and smaller average number of co-administered psychiatric drugs (2.19 in the PGx-guided arm versus 2.48 in the control arm. Furthermore, less deaths were reported in the PGx-guided arm (n = 1) compared with the control arm (n = 9). Most importantly, we observed a 48.5% reduction of treatment costs in the PGx-guided arm with a reciprocal slight increase of the quality of life of patients suffering from major depressive disorder (0.935 versus 0.925 QALYs in the PGx-guided and control arm, respectively). INTERPRETATION While only a small proportion (∼25%) of the entire study sample had an actionable genotype, PGx-guided treatment can have a beneficial effect in psychiatric patients with a reciprocal reduction of treatment costs. Although some of these findings did not remain significant when all patients were considered, our data indicate that genome-guided psychiatric treatment may be successfully integrated in mainstream healthcare. FUNDING European Union Horizon 2020.
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Affiliation(s)
- Maria Skokou
- Department of Psychiatry, University of Patras General Hospital, Patras, Greece
| | - Kariofyllis Karamperis
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, University of Patras, School of Health Sciences, Patras, Greece; The Golden Helix Foundation, London, UK
| | - Margarita-Ioanna Koufaki
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, University of Patras, School of Health Sciences, Patras, Greece; The Golden Helix Foundation, London, UK
| | - Evangelia-Eirini Tsermpini
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, University of Patras, School of Health Sciences, Patras, Greece
| | - Maria-Theodora Pandi
- Erasmus University Medical Center, Faculty of Medicine and Health Sciences, Department of Pathology, Clinical Bioinformatics Unit, Rotterdam, the Netherlands
| | - Stavroula Siamoglou
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, University of Patras, School of Health Sciences, Patras, Greece
| | - Panagiotis Ferentinos
- 2nd Department of Psychiatry, National and Kapodistrian University of Athens, ATIKON University General Hospital, Athens, Greece
| | - Marina Bartsakoulia
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, University of Patras, School of Health Sciences, Patras, Greece
| | - Theodora Katsila
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, University of Patras, School of Health Sciences, Patras, Greece
| | | | - George P Patrinos
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, University of Patras, School of Health Sciences, Patras, Greece; Erasmus University Medical Center, Faculty of Medicine and Health Sciences, Department of Pathology, Clinical Bioinformatics Unit, Rotterdam, the Netherlands; Department of Genetics and Genomics, United Arab Emirates University, College of Medicine and Health Sciences, Al-Ain, Abu Dhabi, United Arab Emirates; United Arab Emirates University, Zayed Center for Health Sciences, Al-Ain, Abu Dhabi, United Arab Emirates.
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Thangaraju P, Chandu HN, Velmurugan H, Kannauje PK, Kumar RA. Analysis of Research Publications on Pharmacogenomics of Sulphonylurea - A Scientometric Study. Curr Diabetes Rev 2024; 20:e121023222120. [PMID: 37842897 DOI: 10.2174/0115733998254570230923171449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 07/12/2023] [Accepted: 08/22/2023] [Indexed: 10/17/2023]
Abstract
This study analysed pharmacogenomics studies on sulfonylurea research publications using the Pubmed and Scopus databases. In the end, 65 publications from the years 2015 to 2021 were noticed. The objective of this study was to analyse these studies using scientometric tools, such as frequency counts, percentages, relative growth rates, doubling times, and collectively. A maximum of 19 (29.23%) research publications were contributed during the 2020 research period. The relative growth rate tends to decrease from 2015 to 2020 and the doubling time tends to increase and decrease after 2020. Up to 2 (3.08%) research publications were contributed by Ewan R. Pearson and Chen each. The top authors have an average degree of collaboration of 0.90 and 41 (63.83%) of their research publications are articles. The United States is the major contributor with 19 (29.23%) pharmacogenomics research publications on sulfonylureas. Although the United States is the most prolific country in sulfonylurea pharmacogenomics research, there are few Indian institutions that are not listed among the most prolific institutions.
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Affiliation(s)
- Pugazhenthan Thangaraju
- Department of Pharmacology, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India
| | - Himanshu Nirmal Chandu
- Department of Pharmacy, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India
| | - Hemasri Velmurugan
- Department of Pharmacology, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India
| | - Pankaj Kumar Kannauje
- Department of Medicine, All India Institute of Medical Sciences, Raipur, Chhattisgarh, India
| | - R Arun Kumar
- Department of Pharmacology, Chettinad Hospital and Research Institute, Chettinad Academy of Research and Education Kelambakkam, Tamilnadu, India
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Kar A, Nutting T, Ikram M, Sullivan C. The clozapine conundrum: Navigating neutropenia and the pursuit of effective care in treatment-resistant schizophrenia. Int J Psychiatry Med 2023:912174231214647. [PMID: 37971414 DOI: 10.1177/00912174231214647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2023]
Abstract
Background: This case explores the challenges encountered in managing treatment-resistant paranoid schizophrenia, focusing on the limitations of using Clozapine due to the risk of neutropenia. The United Kingdom Clozapine Patient Monitoring Service (UK CPMS) and its eligibility criteria are discussed, highlighting the potential benefits of expanding access to Clozapine for patients who could potentially benefit from this medication. The integration of Clozapine genetic testing as a personalised approach is explored, emphasising the importance of identifying patients with a favourable genetic profile for Clozapine response. Study Sample: The case presentation of Mr. X exemplifies the difficulties faced in managing treatment-resistant schizophrenia when access to Clozapine is restricted, leading to persistent negative symptoms. Conclusion: The article underscores the importance of innovative solutions and personalized care to enhance the treatment outcomes for patients with treatment-resistant paranoid schizophrenia. It acknowledges that certain restrictions can limit the effectiveness of treatment for individuals in this context.
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Affiliation(s)
- Anindya Kar
- Wotton Lawn Hospital, Gloucestershire Health and Care NHS Foundation Trust, UK
| | - Thomas Nutting
- Wotton Lawn Hospital, Gloucestershire Health and Care NHS Foundation Trust, UK
| | - Mohammad Ikram
- Wotton Lawn Hospital, Gloucestershire Health and Care NHS Foundation Trust, UK
| | - Charles Sullivan
- Wotton Lawn Hospital, Gloucestershire Health and Care NHS Foundation Trust, UK
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Voulgaridou G, Paraskeva T, Ragia G, Atzemian N, Portokallidou K, Kolios G, Arvanitidis K, Manolopoulos VG. Therapeutic Drug Monitoring (TDM) Implementation in Public Hospitals in Greece in 2003 and 2021: A Comparative Analysis of TDM Evolution over the Years. Pharmaceutics 2023; 15:2181. [PMID: 37765152 PMCID: PMC10535589 DOI: 10.3390/pharmaceutics15092181] [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: 07/21/2023] [Revised: 08/09/2023] [Accepted: 08/19/2023] [Indexed: 09/29/2023] Open
Abstract
Therapeutic drug monitoring (TDM) is the clinical practice of measuring drug concentrations. TDM can be used to determine treatment efficacy and to prevent the occurrence or reduce the risk of drug-induced side effects, being, thus, a tool of personalized medicine. Drugs for which TDM is applied should have a narrow therapeutic range and exhibit both significant pharmacokinetic variability and a predefined target concentration range. The aim of our study was to assess the current status of TDM in Greek public hospitals and estimate its progress over the last 20 years. All Greek public hospitals were contacted to provide data and details on the clinical uptake of TDM in Greece for the years 2003 and 2021 through a structured questionnaire. Data from 113 out of 132 Greek hospitals were collected in 2003, whereas for 2021, we have collected data from 98 out of 122 hospitals. Among these, in 2003 and 2021, 64 and 51 hospitals, respectively, performed TDM. Antiepileptics and antibiotics were the most common drug categories monitored in both years. The total number of drug measurement assays decreased from 2003 to 2021 (153,313 ± 7794 vs. 90,065 ± 5698; p = 0.043). In direct comparisons between hospitals where TDM was performed both in 2003 and 2021 (n = 35), the mean number of measurements was found to decrease for most drugs, including carbamazepine (198.8 ± 46.6 vs. 46.6 ± 10.1, p < 0.001), phenytoin (253.6 ± 59 vs. 120 ± 34.3; p = 0.001), amikacin (147.3 ± 65.2 vs. 91.1 ± 71.4; p = 0.033), digoxin (783.2 ± 226.70 vs. 165.9 ± 28.9; p < 0.001), and theophylline (71.5 ± 28.7 vs. 11.9 ± 6.4; p = 0.004). Only for vancomycin, a significant increase in measurements was recorded (206.1 ± 96.1 vs. 789.1 ± 282.8; p = 0.012). In conclusion, our findings show that TDM clinical implementation is losing ground in Greek hospitals. Efforts and initiatives to reverse this trend are urgently needed.
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Affiliation(s)
- Gavriela Voulgaridou
- Laboratory of Pharmacology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (G.V.); (T.P.); (G.R.); (N.A.); (K.P.); (G.K.); (K.A.)
- IMPReS—Individualised Medicine & Pharmacological Research Solutions Center, 68100 Alexandroupolis, Greece
| | - Theodora Paraskeva
- Laboratory of Pharmacology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (G.V.); (T.P.); (G.R.); (N.A.); (K.P.); (G.K.); (K.A.)
- IMPReS—Individualised Medicine & Pharmacological Research Solutions Center, 68100 Alexandroupolis, Greece
| | - Georgia Ragia
- Laboratory of Pharmacology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (G.V.); (T.P.); (G.R.); (N.A.); (K.P.); (G.K.); (K.A.)
- IMPReS—Individualised Medicine & Pharmacological Research Solutions Center, 68100 Alexandroupolis, Greece
| | - Natalia Atzemian
- Laboratory of Pharmacology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (G.V.); (T.P.); (G.R.); (N.A.); (K.P.); (G.K.); (K.A.)
- IMPReS—Individualised Medicine & Pharmacological Research Solutions Center, 68100 Alexandroupolis, Greece
| | - Konstantina Portokallidou
- Laboratory of Pharmacology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (G.V.); (T.P.); (G.R.); (N.A.); (K.P.); (G.K.); (K.A.)
- IMPReS—Individualised Medicine & Pharmacological Research Solutions Center, 68100 Alexandroupolis, Greece
| | - George Kolios
- Laboratory of Pharmacology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (G.V.); (T.P.); (G.R.); (N.A.); (K.P.); (G.K.); (K.A.)
- IMPReS—Individualised Medicine & Pharmacological Research Solutions Center, 68100 Alexandroupolis, Greece
| | - Konstantinos Arvanitidis
- Laboratory of Pharmacology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (G.V.); (T.P.); (G.R.); (N.A.); (K.P.); (G.K.); (K.A.)
- IMPReS—Individualised Medicine & Pharmacological Research Solutions Center, 68100 Alexandroupolis, Greece
- Clinical Pharmacology and Pharmacogenetics Unit, Academic General Hospital of Alexandroupolis, 68100 Alexandroupolis, Greece
| | - Vangelis G. Manolopoulos
- Laboratory of Pharmacology, Medical School, Democritus University of Thrace, 68100 Alexandroupolis, Greece; (G.V.); (T.P.); (G.R.); (N.A.); (K.P.); (G.K.); (K.A.)
- IMPReS—Individualised Medicine & Pharmacological Research Solutions Center, 68100 Alexandroupolis, Greece
- Clinical Pharmacology and Pharmacogenetics Unit, Academic General Hospital of Alexandroupolis, 68100 Alexandroupolis, Greece
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Rahma AT, Ali BR, Patrinos GP, Ahmed LA, Elbarazi I, Abdullahi AS, Elsheik M, Abbas M, Afandi F, Alnaqbi A, Al Maskari F. Knowledge, attitudes, and perceptions of the multi-ethnic population of the United Arab Emirates on genomic medicine and genetic testing. Hum Genomics 2023; 17:63. [PMID: 37454085 PMCID: PMC10349494 DOI: 10.1186/s40246-023-00509-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 07/03/2023] [Indexed: 07/18/2023] Open
Abstract
INTRODUCTION The adoption and implementation of genomic medicine and pharmacogenomics (PGx) in healthcare systems have been very slow and limited worldwide. Major barriers to knowledge translation into clinical practice lie in the level of literacy of the public of genetics and genomics. The aim of this study was to assess the knowledge, attitudes, and perceptions of the United Arab Emirates (UAE) multi-ethnic communities toward genomic medicine and genetic testing. METHOD A cross-sectional study using validated questionnaires was distributed to the participants. Descriptive statistics were performed, and multivariable logistic regression models were used to identify factors associated with knowledge of genomics. RESULTS 757 individuals completed the survey. Only 7% of the participants had a good knowledge level in genetics and genomics (95% CI 5.3-9.0%). However, 76.9% of the participants were willing to take a genetic test if their relatives had a genetic disease. In addition, the majority indicated that they would disclose their genetic test results to their spouses (61.5%) and siblings (53.4%). CONCLUSIONS This study sets the stage for the stakeholders to plan health promotion and educational campaigns to improve the genomic literacy of the community of the UAE as part of their efforts for implementing precision and personalized medicine in the country.
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Affiliation(s)
- Azhar T Rahma
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE
| | - Bassam R Ali
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE
| | - George P Patrinos
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE
- Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
- Zayed Center for Health Sciences, United Arab Emirates University, Al-Ain, Abu Dhabi, UAE
| | - Luai A Ahmed
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE
- Zayed Center for Health Sciences, United Arab Emirates University, Al-Ain, Abu Dhabi, UAE
| | - Iffat Elbarazi
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE
| | - Aminu S Abdullahi
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE
| | - Mahanna Elsheik
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Maram Abbas
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE
- Department of Clinical Pharmacy and Therapeutics, Dubai Pharmacy College for Girls, Dubai, UAE
| | - Farah Afandi
- USF Biotechnology, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
- Department of Biochemistry, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE
| | - Aisha Alnaqbi
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE
| | - Fatma Al Maskari
- Institute of Public Health, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE.
- Zayed Center for Health Sciences, United Arab Emirates University, Al-Ain, Abu Dhabi, UAE.
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Abstract
The field of psychiatry is facing an important paradigm shift in the provision of clinical care and mental health service organization toward personalization and integration of multimodal data science. This approach, termed precision psychiatry, aims at identifying subgroups of patients more prone to the development of a certain phenotype, such as symptoms or severe mental disorders (risk detection), and/or to guide treatment selection. Pharmacogenomics and computational psychiatry are two fundamental tools of precision psychiatry, which have seen increasing levels of integration in clinical settings. Here we present a brief overview of these two applications of precision psychiatry in clinical settings.
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Affiliation(s)
- Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, 09127, Italy
- Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, 09127,Italy
- Department of Pharmacology, Dalhousie University, Halifax, NS, B3H 4R2, Canada
| | - Martino Belvederi Murri
- Institute of Psychiatry, Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, 44121, Italy
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O'Shea J, Ryan C, Gallagher J, O'Brien C, Morris C, Dwyer E, Laughlin JM, Fitzpatrick L, O'Meara M, Kelly S, Knox S, Ledwidge M. Public perceptions of pharmacogenomic services in Ireland - Are people with chronic disease more likely to want service availability than those without? A questionnaire study. EXPLORATORY RESEARCH IN CLINICAL AND SOCIAL PHARMACY 2022; 8:100182. [PMID: 36200068 PMCID: PMC9529536 DOI: 10.1016/j.rcsop.2022.100182] [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] [Received: 07/19/2022] [Revised: 09/20/2022] [Accepted: 09/20/2022] [Indexed: 11/26/2022] Open
Abstract
Background As pharmacogenomic services begin to emerge in primary care, the insight of the public is crucial for its integration into clinical practice. Objectives To establish perceptions of pharmacogenomics (awareness, understanding, openness to availability, perceived benefits and concerns, willingness to pay, and service setting) and investigate if they differ between those with and without chronic disease(s). Methods An anonymous, online questionnaire generated using Qualtrics® and circulated via social media and posters placed in eight participating community pharmacies was conducted with Irish adults. The questions were designed to consider existing literature on patient perceptions of pharmacogenomics. Descriptive statistics were used to summarize questionnaire responses. Chi-square test was used to compare categorical variables, while independent sample t-test and one-way ANOVA were used to compare the mean values of two (with and without chronic disease) and three groups (multimorbidity (two or more chronic conditions) and polypharmacy (prescribed four or more regular medicines) (MMPP), a single chronic disease, and those without existing medical conditions) respectively Logistic regression was used to evaluate age and gender adjusted associations of chronic disease(s) with responses. A p-value <0.05 was considered statistically significant. Results A total of 421 responses were received, 30% (n = 120) of whom reported having a chronic disease. Overall, respondents reported low awareness (44%, n = 166) and poor knowledge (55%, n = 212) of pharmacogenomics. After explaining pharmacogenomics to respondents, patients with chronic disease(s) were 2.17 times more likely (p < 0.001) to want pharmacogenomic services availability than those without existing conditions, adjusted for age and gender (driven by preferences of those with MMPP than those with single chronic disease). Respondents demonstrated a high level of interest and noted both the potential benefits and downsides of pharmacogenomic testing. Willingness-to-pay was not associated with having a chronic disease and respondents were more positive about primary care (community pharmacy or general practice) rather than hospital-based pharmacogenomics implementation. Conclusion The Irish public in general and those with chronic disease in particular are strongly supportive of pharmacogenomic testing, highlighting an unmet need for its incorporation in medicines optimization. These data underline the need for more research on the implementation of community-based pharmacogenomics services for MMPP patients and ubiquitous pharmacogenomics education programs.
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Therianou M, Gerou A, Mitropoulos K, Patrinos GP. Conference report: the Festival of Genetics and Personalized Medicine. Pharmacogenomics 2022; 23:509-511. [PMID: 35670264 DOI: 10.2217/pgs-2022-0056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Implementation of personalized medicine in the clinic is a lengthy and multifaceted approach that is also dependent on the raising of the general public's awareness of genomics. The Festival of Genetics and Personalized Medicine aims to familiarize the general public with the principles and applications of genetics and personalized medicine using numerous approaches - namely, a theatrical performance; a roundtable discussion of emerging topics in the field, such as pharmacogenomics, clinical genetics, bioinformatics, bioethics and health economics; the 'Genome: Unlocking Life's Code' exhibition, with its do-it-yourself format; and a live demonstration of 2MoBiL, a portable molecular biology laboratory. This festival attracted more than 900 participants and helped disseminate to a broader audience the principles of genetics and personalized medicine.
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Affiliation(s)
- Maria Therianou
- Department of Pharmacy, Laboratory of Pharmacogenomics and Individualized Therapy, School of Health Sciences, University of Patras, Patras, Greece
| | | | | | - George P Patrinos
- Department of Pharmacy, Laboratory of Pharmacogenomics and Individualized Therapy, School of Health Sciences, University of Patras, Patras, Greece.,Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates.,Zayed Center for Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
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Patrinos GP, Mitropoulou C. Horizon Scanning: Teaching Genomics and Personalized Medicine in the Digital Age. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2021; 26:101-105. [PMID: 34648717 DOI: 10.1089/omi.2021.0119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/08/2022]
Abstract
Digital transformation is currently impacting not only health care but also education curricula for medicine and life sciences. The COVID-19 pandemic has accelerated the deployment of digital technologies such as the Internet of Things and artificial intelligence in diverse fields of biomedicine. Genomics and related fields of inquiry such as pharmacogenomics and personalized medicine have been making important progress over the past decades. However, the genomics knowledge of health care professionals and other stakeholders in society is not commensurate with the current state of progress in these scientific fields. The rise of digital health offers unprecedented opportunities both for health care professionals and the general public to expand their genomics literacy and education. This expert review offers an analysis of the bottlenecks that affect and issues that need to be addressed to catalyze genomics and personalized medicine education in the digital era. In addition, we summarize and critically discuss the various educational and awareness opportunities that presently exist to catalyze the delivery of genomics knowledge in ways closely attuned to the emerging field of digital health.
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Affiliation(s)
- George P Patrinos
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, University of Patras School of Health Sciences, Patras, Greece.,Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, UAE.,Zayed Center for Health Sciences, United Arab Emirates University, Al-Ain, UAE
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11
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Admas T, Banjaw A. Healthcare professionals' knowledge, attitudes and future expectations towards personalized medicine. Per Med 2021; 18:483-490. [PMID: 34406078 DOI: 10.2217/pme-2020-0185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Aim: Personalized medicine (PM) is a novel approach to diagnose and treat disease. The study assessed the knowledge, attitudes and future expectations of healthcare professionals (HPs) towards PM in Ethiopia. Materials & methods: A cross-sectional survey with primary data and a simple random sampling technique was applied to collect data. Results: Our study revealed from a total of 384 respondents, 98 (25.5%), 146 (38%) and 140 (36.5%) had good, medium and poor knowledge of PM, respectively. However, 172 (44.8%), 185 (48.2%) and 27 (7%) had positive, neutral and negative attitudes towards PM, respectively. Conclusion: Most respondent's future expectations of PM were positive. Education level had a significant association with attitudes and other sociodemographic variables were not significant for both knowledge and attitude.
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Affiliation(s)
- Tayachew Admas
- College of Natural and Computational Sciences, Department of Biology, Mizan-Tepi University, Tepi, Ethiopia
| | - Aklilu Banjaw
- College of Natural and Computational Sciences, Department of Biology, Mizan-Tepi University, Tepi, Ethiopia
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12
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Senger K, Schröder A, Kleinstäuber M, Rubel JA, Rief W, Heider J. Predicting optimal treatment outcomes using the Personalized Advantage Index for patients with persistent somatic symptoms. Psychother Res 2021; 32:165-178. [PMID: 33910487 DOI: 10.1080/10503307.2021.1916120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
Because individual patients with persistent somatic symptoms (PSS) respond differently to treatments, a better understanding of the factors that predict therapy outcomes are of high importance. Aggregating a wide selection of information into the treatment-decision process is a challenge for clinicians. Using the Personalized Advantage Index (PAI) this study aims to deal with this. Methods: Data from a multicentre RCT comparing CBT (N = 128) versus CBT enriched with emotion regulation training (ENCERT) (N = 126) for patients diagnosed with somatic symptom disorder were used to identify based on two machine learning approaches predictors of therapy outcomes. The identified predictors were used to calculate the PAI. Results: Five treatment unspecific predictors (pre-treatment somatic symptom severity, depression, symptom disability, health-related quality of life, age) and five treatment specific moderators (global functioning, early childhood traumatic events, gender, health anxiety, emotion regulation skills) were identified. Individuals assigned to their PAI-indicated optimal treatment had significantly lower somatic symptom severity at the end of therapy compared to those randomised to their non-optimal condition. Conclusion: Allowing patients to choose a personalised treatment seems to be meaningful. This could help to improve outcomes for PSS and reduce its high costs to the health care system.
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Affiliation(s)
- Katharina Senger
- Department of Psychology, University of Koblenz-Landau, Landau, Germany
| | - Annette Schröder
- Department of Psychology, University of Koblenz-Landau, Landau, Germany
| | - Maria Kleinstäuber
- Department of Psychological Medicine, Dunedin School of Medicine, University of Otago, Dunedin, New Zealand
| | - Julian A Rubel
- Department of Psychology, University of Giessen, Germany
| | - Winfried Rief
- Department of Clinical Psychology and Psychotherapy, Philipps University Marburg, Germany
| | - Jens Heider
- Department of Psychology, University of Koblenz-Landau, Landau, Germany
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13
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Kordou Z, Skokou M, Tsermpini EE, Chantratita W, Fukunaga K, Mushiroda T, Patrinos GP, Koromina M. Discrepancies and similarities in the genome-informed guidance for psychiatric disorders amongst different regulatory bodies and research consortia using next generation sequencing-based clinical pharmacogenomics data. Pharmacol Res 2021; 167:105538. [PMID: 33705851 DOI: 10.1016/j.phrs.2021.105538] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 03/04/2021] [Accepted: 03/04/2021] [Indexed: 11/30/2022]
Abstract
Undoubtedly, pharmacogenomics (PGx) aims in optimizing drug treatment responses whilst also improving the patients' quality of life, either via a reduction of adverse drug reactions and/or an enhancement of drug treatment efficacy. To achieve this, PGx guidance is provided by the two major regulatory bodies in a worldwide level, specifically the U.S. Food and Drug Administration (FDA) and the European Medicine Agency (EMA), and occasionally some research consortia, such as the Clinical Pharmacogenetics Implementation Consortium (CPIC) or the Dutch Pharmacogenomics Working Group (DPWG). However, so far, there is a limited number of studies focusing on the delineation of the similarities and more importantly, the discrepancies in the PGx guidance by the different regulatory bodies and consortia. Herein, we use real-life clinical PGx data to highlight such discrepancies and similarities for genome-guided interventions in psychiatric disorders, thus demonstrating the need for harmonization of the guidelines and recommendations. More precisely, we used the PharmCAT genome-informed drug treatment reports from 304 Greek individuals with psychiatric disorders in order to emphasize on the discrepancies in the PGx guidance/guidelines between FDA vs EMA and CPIC vs DPWG, respectively. For example, CYP2D6-pimozide pair is characterized as 'Testing Required' according to FDA and is accompanied by a DPWG PGx guideline, whilst no EMA or CPIC PGx guidance is found for this drug-gene pair. Moreover, discrepancies are observed regarding the type of PGx guidance for CYP2C19-doxepin pair, with 89 individuals from our study cohort requiring a dose prescribing change based on FDA, whilst only 5 individuals have to receive genome-guided treatment adjustment according to CPIC. To our knowledge, this is the first study, in which discrepancies regarding the type of PGx guidance and the number of actionable drug-gene pairs amongst FDA and EMA, as well as CPIC and DPWG, are brought to light with an emphasis on psychiatric disorders.
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Affiliation(s)
- Zoe Kordou
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Maria Skokou
- Psychiatric Clinic, Patras General Hospital, Patras, Greece
| | - Evangelia-Eirini Tsermpini
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
| | - Wasun Chantratita
- 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.
| | - George P Patrinos
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece; United Arab Emirates University, Zayed Center of Health Sciences, Al-Ain, United Arab Emirates; United Arab Emirates University, College of Medicine and Health Sciences, Department of Pathology, Al-Ain, United Arab Emirates.
| | - Maria Koromina
- Laboratory of Pharmacogenomics and Individualized Therapy, Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece; The Golden Helix Foundation, London, UK.
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14
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Tafazoli A, Guggilla RK, Kamel-Koleti Z, Miltyk W. Strategies to Improve the Clinical Outcomes for Direct-to-Consumer Pharmacogenomic Tests. Genes (Basel) 2021; 12:361. [PMID: 33802585 PMCID: PMC7999840 DOI: 10.3390/genes12030361] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 02/22/2021] [Accepted: 02/27/2021] [Indexed: 12/27/2022] Open
Abstract
Direct-to-consumer genetic tests (DTC-GT) have become a bridge between marketing and traditional healthcare services. After earning FDA endorsement for such facilities, several fast-developing companies started to compete in the related area. Pharmacogenomic (PGx) tests have been introduced as potentially one of the main medical services of such companies. Most of the individuals will be interested in finding out about the phenotypic consequences of their genetic variants and molecular risk factors against diverse medicines they take or will take later. Direct-to-consumer pharmacogenomic tests (DTC-PT) is still in its young age, however it is expected to expand rapidly through the industry in the future. The result of PGx tests could be considered as the main road toward the implementation of personalized and precision medicine in the clinic. This narrative critical review study provides a descriptive overview on DTC-GT, then focuses on DTC-PT, and also introduces and suggests the potential approaches for improving the clinical related outcomes of such tests on healthcare systems.
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Affiliation(s)
- Alireza Tafazoli
- Department of Analysis and Bioanalysis of Medicines, Faculty of Pharmacy with the Division of Laboratory Medicine, Medical University of Bialystok, 15-089 Bialystok, Poland;
- Clinical Research Centre, Medical University of Bialystok, 15-276 Bialystok, Poland
| | - Rama Krishna Guggilla
- Department of Population Medicine and Civilization Diseases Prevention, Faculty of Medicine with the Division of Dentistry and Division of Medical Education in English, Medical University of Bialystok, 15-269 Bialystok, Poland;
| | - Zahra Kamel-Koleti
- Department of Pathology and Medical Laboratory, Shohada Hospital, Mazandaran University of Medical Sciences, Behshahr 4851613185, Iran;
| | - Wojciech Miltyk
- Department of Analysis and Bioanalysis of Medicines, Faculty of Pharmacy with the Division of Laboratory Medicine, Medical University of Bialystok, 15-089 Bialystok, Poland;
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15
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Fanni D, Pinna F, Gerosa C, Paribello P, Carpiniello B, Faa G, Manchia M. Anatomical distribution and expression of CYP in humans: Neuropharmacological implications. Drug Dev Res 2021; 82:628-667. [PMID: 33533102 DOI: 10.1002/ddr.21778] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 12/21/2020] [Accepted: 12/23/2020] [Indexed: 12/14/2022]
Abstract
The cytochrome P450 (CYP450) superfamily is responsible for the metabolism of most xenobiotics and pharmacological treatments generally used in clinical settings. Genetic factors as well as environmental determinants acting through fine epigenetic mechanisms modulate the expression of CYP over the lifespan (fetal vs. infancy vs. adult phases) and in diverse organs. In addition, pathological processes might alter the expression of CYP. In this selective review, we sought to summarize the evidence on the expression of CYP focusing on three specific aspects: (a) the anatomical distribution of the expression in body districts relevant in terms of drug pharmacokinetics (liver, gut, and kidney) and pharmacodynamics, focusing for the latter on the brain, since this is the target organ of psychopharmacological agents; (b) the patterns of expression during developmental phases; and (c) the expression of CYP450 enzymes during pathological processes such as cancer. We showed that CYP isoforms show distinct patterns of expression depending on the body district and the specific developmental phases. Of particular relevance for neuropsychopharmacology is the complex regulatory mechanisms that significantly modulate the complexity of the pharmacokinetic regulation, including the concentration of specific CYP isoforms in distinct areas of the brain, where they could greatly affect local substrate and metabolite concentrations of drugs.
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Affiliation(s)
- Daniela Fanni
- Unit of Anatomic Pathology, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Unit of Anatomic Pathology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Federica Pinna
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Clara Gerosa
- Unit of Anatomic Pathology, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Unit of Anatomic Pathology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Pasquale Paribello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Bernardo Carpiniello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Gavino Faa
- Unit of Anatomic Pathology, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Unit of Anatomic Pathology, University Hospital Agency of Cagliari, Cagliari, Italy
| | - Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy.,Department of Pharmacology, Dalhousie University, Halifax, Nova Scotia, Canada
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16
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Mathuba B, Koromina M, Mitropoulou C, Patrinos GP. Catalyzing clinical implementation of pharmacogenomics and personalized medicine interventions in Africa. Pharmacogenomics 2020; 22:115-122. [PMID: 33353428 DOI: 10.2217/pgs-2020-0101] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Pharmacogenomics is considered to be the low-hanging fruit in the tree of genomic medicine with numerous examples of its successful implementation in the clinic. In this perspective, we provide details about the potential clinical application of pharmacogenomics in African populations by using relevant drug cases and high-throughput genomics approaches; involving numerous countries and stakeholders; and most importantly exploiting the existing knowledge of respective large-scale initiatives. We emphasize on the necessity of constructing appropriate frameworks for government policies in African countries. We also provide input about different initiatives in the field of genomics medicine implementation in Africa, not only for their potential for synergy and collaboration among them, but also as models for replication in other regions worldwide, aiming for healthcare improvement.
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Affiliation(s)
- Bathusi Mathuba
- Botswana-Baylor Children's Clinical Centre of Excellence, Gaborone, Botswana
| | - Maria Koromina
- Department of Pharmacy, University of Patras School of Health Sciences, Patras, 26503, Greece
| | | | - George P Patrinos
- Department of Pharmacy, University of Patras School of Health Sciences, Patras, 26503, Greece.,Department of Pathology, College of Medicine & Health Sciences, United Arab Emirates University, Al-Ain, UAE.,Zayed Center of Health Sciences, United Arab Emirates University, Al-Ain, UAE
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17
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Yu A, Jeyakumar Y, Wang M, Lee J, Marcucci M, Holbrook A. How personalized are benefit and harm results of randomized trials? A systematic review. J Clin Epidemiol 2020; 126:17-25. [DOI: 10.1016/j.jclinepi.2020.05.029] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 05/24/2020] [Accepted: 05/26/2020] [Indexed: 10/24/2022]
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18
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Mitropoulou C, Litinski V, Kabakchiev B, Rogers S, P Patrinos G. PARC report: health outcomes and value of personalized medicine interventions: impact on patient care. Pharmacogenomics 2020; 21:797-807. [PMID: 32635813 DOI: 10.2217/pgs-2019-0194] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
The incorporation of personalized medicine interventions into routine healthcare constitutes an opportunity to improve patients' quality of life, as it empowers implementation of innovative, individualized clinical interventions that maximize efficacy and/or minimize the risk of adverse drug reactions. In order to ensure equal access to genomic testing for all patients, the costs associated with these interventions must be reimbursed by payers and insurance bodies. As such, it is of utmost importance to thoroughly evaluate these interventions both in terms of their clinical effectiveness and their economic cost. This article discusses the impact of personalized medicine interventions in terms of both health outcomes and value, which directly impacts on their pricing and reimbursement by the various national healthcare systems.
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Affiliation(s)
| | | | | | - Sara Rogers
- American Society of Pharmacovigilance, Houston, TX 77225-0433, USA
| | - George P Patrinos
- University of Patras School of Health Sciences, Department of Pharmacy, Patras, 26504, Greece.,United Arab Emirates University, College of Medicine & Health Sciences, Department of Pathology, Al-Ain, UAE.,United Arab Emirates University, Zayed Center of Health Sciences, Al-Ain, UAE
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19
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Manchia M, Pisanu C, Squassina A, Carpiniello B. Challenges and Future Prospects of Precision Medicine in Psychiatry. PHARMACOGENOMICS & PERSONALIZED MEDICINE 2020; 13:127-140. [PMID: 32425581 PMCID: PMC7186890 DOI: 10.2147/pgpm.s198225] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Accepted: 04/14/2020] [Indexed: 12/21/2022]
Abstract
Precision medicine is increasingly recognized as a promising approach to improve disease treatment, taking into consideration the individual clinical and biological characteristics shared by specific subgroups of patients. In specific fields such as oncology and hematology, precision medicine has already started to be implemented in the clinical setting and molecular testing is routinely used to select treatments with higher efficacy and reduced adverse effects. The application of precision medicine in psychiatry is still in its early phases. However, there are already examples of predictive models based on clinical data or combinations of clinical, neuroimaging and biological data. While the power of single clinical predictors would remain inadequate if analyzed only with traditional statistical approaches, these predictors are now increasingly used to impute machine learning models that can have adequate accuracy even in the presence of relatively small sample size. These models have started to be applied to disentangle relevant clinical questions that could lead to a more effective management of psychiatric disorders, such as prediction of response to the mood stabilizer lithium, resistance to antidepressants in major depressive disorder or stratification of the risk and outcome prediction in schizophrenia. In this narrative review, we summarized the most important findings in precision medicine in psychiatry based on studies that constructed machine learning models using clinical, neuroimaging and/or biological data. Limitations and barriers to the implementation of precision psychiatry in the clinical setting, as well as possible solutions and future perspectives, will be presented.
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Affiliation(s)
- Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy.,Department of Pharmacology, Dalhousie University, Halifax, NS, Canada
| | - Claudia Pisanu
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy
| | - Alessio Squassina
- Department of Biomedical Sciences, Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Cagliari, Italy.,Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Bernardo Carpiniello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy.,Unit of Clinical Psychiatry, University Hospital Agency of Cagliari, Cagliari, Italy
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20
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Fredrikson KM, Fasolino T. Pharmacogenetic Testing: The Ethics of Implementing in Clinical Practice for Chronic Pain Patients. J Pain Palliat Care Pharmacother 2020; 34:69-76. [DOI: 10.1080/15360288.2019.1707929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Karin M. Fredrikson
- Karin M. Fredrikson, is with School of Nursing, Healthcare Genetics, College of Behavioral, Social, & Health Sciences, Clemson University, Clemson, South Carolina, USA; Tracy Fasolino, is with School of Nursing, College of Behavioral, Social, & Health Sciences, Clemson University, Clemson, South Carolina, USA
| | - Tracy Fasolino
- Karin M. Fredrikson, is with School of Nursing, Healthcare Genetics, College of Behavioral, Social, & Health Sciences, Clemson University, Clemson, South Carolina, USA; Tracy Fasolino, is with School of Nursing, College of Behavioral, Social, & Health Sciences, Clemson University, Clemson, South Carolina, USA
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21
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Koutsilieri S, Tzioufa F, Sismanoglou DC, Patrinos GP. Unveiling the guidance heterogeneity for genome-informed drug treatment interventions among regulatory bodies and research consortia. Pharmacol Res 2019; 153:104590. [PMID: 31830522 DOI: 10.1016/j.phrs.2019.104590] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Revised: 12/04/2019] [Accepted: 12/05/2019] [Indexed: 12/16/2022]
Abstract
Pharmacogenomics and personalized medicine interventions hold promise to optimize drug treatment modalities and hence, improve the quality of life of the patients by minimizing the occurrence of adverse drug reactions and/or maximizing drug treatment efficacy. To this end, proper guidance for accurately prescribing the correct drug at the right dose is empowered by major regulatory bodies, namely the U.S. Food and Drug Administration (FDA) and the European Medicine Agency (EMA), and well-recognized research consortia, like the Clinical Pharmacogenetics Implementation Consortium (CPIC), that propose therapeutic recommendations after the thorough evaluation of the existing scientific evidence base. In this context, the consistency of these recommendations is crucial for smoothly integrating pharmacogenomics into the clinic. Here, we collected all of the important and clinically actionable pharmacogenomics information provided by the aforementioned renowned sources and documented it in order to assess potential similarities and, most importantly, differences. Our data show that the level of concordance regarding the guidance provided for the same drug-gene association pairs varies significantly, despite the fact that it all derives from a single evidence base. In particular, apart from the expected similarities in a number of association pairs, especially the ones related to cancer genomics, there are still major discrepancies that create confusion as to which guidance should be followed in order to properly inform drug prescribing. This regulatory deficiency calls for the fruitful engagement of the regulatory agencies involved with the contribution of other experts engaged in the field of pharmacogenomics in an effort to harmonize the existing arsenal of guidance for genome-informed drug prescription. The achievement of harmonization would in turn expedite bringing personalized medicine closer to clinical fruition.
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Affiliation(s)
- Stefania Koutsilieri
- University of Patras, School of Health Sciences, Department of Pharmacy, Patras, Greece.
| | - Foteini Tzioufa
- University of Patras, School of Health Sciences, Department of Pharmacy, Patras, Greece
| | | | - George P Patrinos
- University of Patras, School of Health Sciences, Department of Pharmacy, Patras, Greece; Zayed Center of Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates; Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates.
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22
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Choi YH, Han CY, Kim KS, Kim SG. Future Directions of Pharmacovigilance Studies Using Electronic Medical Recording and Human Genetic Databases. Toxicol Res 2019; 35:319-330. [PMID: 31636843 PMCID: PMC6791658 DOI: 10.5487/tr.2019.35.4.319] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2019] [Revised: 04/25/2019] [Accepted: 05/08/2019] [Indexed: 12/11/2022] Open
Abstract
Adverse drug reactions (ADRs) constitute key factors in determining successful medication therapy in clinical situations. Integrative analysis of electronic medical record (EMR) data and use of proper analytical tools are requisite to conduct retrospective surveillance of clinical decisions on medications. Thus, we suggest that electronic medical recording and human genetic databases are considered together in future directions of pharmacovigilance. We analyzed EMR-based ADR studies indexed on PubMed during the period from 2005 to 2017 and retrospectively acquired 1161 (29.6%) articles describing drug-induced adverse reactions (e.g., liver, kidney, nervous system, immune system, and inflammatory responses). Of them, only 102 (8.79%) articles contained useful information to detect or predict ADRs in the context of clinical medication alerts. Since insufficiency of EMR datasets and their improper analyses may provide false warnings on clinical decision, efforts should be made to overcome possible problems on data-mining, analysis, statistics, and standardization. Thus, we address the characteristics and limitations on retrospective EMR database studies in hospital settings. Since gene expression and genetic variations among individuals impact ADRs, pharmacokinetics, and pharmacodynamics, appropriate paths for pharmacovigilance may be optimized using suitable databases available in public domain (e.g., genome-wide association studies (GWAS), non-coding RNAs, microRNAs, proteomics, and genetic variations), novel targets, and biomarkers. These efforts with new validated biomarker analyses would be of help to repurpose clinical and translational research infrastructure and ultimately future personalized therapy considering ADRs.
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Affiliation(s)
- Young Hee Choi
- College of Pharmacy, Dongguk University_Seoul, Goyang,
Korea
| | - Chang Yeob Han
- Department of Pharmacology, School of Medicine, Wonkwang University, Iksan,
Korea
| | - Kwi Suk Kim
- Department of Pharmacy, Seoul National University Hospital, Seoul,
Korea
| | - Sang Geon Kim
- Department of Pharmacy, Seoul National University Hospital, Seoul,
Korea
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul,
Korea
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23
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Manchia M, Comai S, Pinna M, Pinna F, Fanos V, Denovan-Wright E, Carpiniello B. Biomarkers in aggression. Adv Clin Chem 2019; 93:169-237. [PMID: 31655730 DOI: 10.1016/bs.acc.2019.07.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Aggressive behavior exerts an enormous impact on society remaining among the main causes of worldwide premature death. Effective primary interventions, relying on predictive models of aggression that show adequate sensitivity and specificity are currently lacking. One strategy to increase the accuracy and precision of prediction would be to include biological data in the predictive models. Clearly, to be included in such models, biological markers should be reliably associated with the specific trait under study (i.e., diagnostic biomarkers). Aggression, however, is phenotypically highly heterogeneous, an element that has hindered the identification of reliable biomarkers. However, current research is trying to overcome these challenges by focusing on more homogenous aggression subtypes and/or by studying large sample size of aggressive individuals. Further advance is coming by bioinformatics approaches that are allowing the integration of inter-species biological data as well as the development of predictive algorithms able to discriminate subjects on the basis of the propensity toward aggressive behavior. In this review we first present a brief summary of the available evidence on neuroimaging of aggression. We will then treat extensively the data on genetic determinants, including those from hypothesis-free genome-wide association studies (GWAS) and candidate gene studies. Transcriptomic and neurochemical biomarkers will then be reviewed, and we will dedicate a section on the role of metabolomics in aggression. Finally, we will discuss how biomarkers can inform the development of new pharmacological tools as well as increase the efficacy of preventive strategies.
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Affiliation(s)
- Mirko Manchia
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy; Department of Pharmacology, Dalhousie University, Halifax, NS, Canada.
| | - Stefano Comai
- San Raffaele Scientific Institute and Vita Salute University, Milano, Italy; Department of Psychiatry, McGill University, Montreal, QC, Canada.
| | - Martina Pinna
- Forensic Psychiatry Unit, Sardinia Health Agency, Cagliari, Italy
| | - Federica Pinna
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
| | - Vassilios Fanos
- Department of Surgical Sciences, University of Cagliari, Cagliari, Italy; Puericulture Institute and Neonatal Section, University Hospital Agency of Cagliari, Cagliari, Italy
| | | | - Bernardo Carpiniello
- Section of Psychiatry, Department of Medical Sciences and Public Health, University of Cagliari, Cagliari, Italy
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Dandara C, Masimirembwa C, Haffani YZ, Ogutu B, Mabuka J, Aklillu E, Bolaji O. African Pharmacogenomics Consortium: Consolidating pharmacogenomics knowledge, capacity development and translation in Africa: Consolidating pharmacogenomics knowledge, capacity development and translation in Africa. AAS Open Res 2019; 2:19. [PMID: 32382701 PMCID: PMC7194139 DOI: 10.12688/aasopenres.12965.1] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2019] [Indexed: 12/22/2022] Open
Abstract
The African Pharmacogenomics Consortium (APC) was formally launched on the 6th September 2018. This white paper outlines its vision, and objectives towards addressing challenges of conducting and applying pharmacogenomics in Africa and identifies opportunities for advancement of individualized drugs use on the continent. Africa, especially south of the Sahara, is beset with a huge burden of infectious diseases with much co-morbidity whose multiplicity and intersection are major challenges in achieving the sustainable development goals (SDG), SDG3, on health and wellness. The profile of drugs commonly used in African populations lead to a different spectrum of adverse drug reactions (ADRs) when compared to other parts of the world. Coupled with the genetic diversity among Africans, the APC is established to promote pharmacogenomics research and its clinical implementation for safe and effective use of medicine in the continent. Variation in the way patients respond to treatment is mainly due to differences in activity of enzymes and transporters involved in pathways associated with each drug’s disposition. Knowledge of pharmacogenomics, therefore, helps in identifying genetic variants in these proteins and their functional effects. Africa needs to consolidate its pharmacogenomics expertise and technological platforms to bring pharmacogenomics to use.
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Affiliation(s)
- Collet Dandara
- Pathology & Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, 7925, South Africa
| | | | - Yosr Z Haffani
- Higher Institute of Biotechnology Sidi Thabet, Manouba University, Ariana, LR17ES03, Tunisia
| | - Bernhards Ogutu
- Centre for Research in Therapeutic Sciences, Strathmore University, Nairobi, Kenya
| | - Jenniffer Mabuka
- Secretariat, The African Academy of Sciences (AAS), Nairobi, Kenya
| | - Eleni Aklillu
- Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Oluseye Bolaji
- Department of Pharmaceutical Chemistry, Obafemi Awolowo University, Ile-Ife, Nigeria
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Tsermpini EE, Stamopoulou T, Kordou Z, Barba E, Siamoglou S, Stathoulias A, Patrinos GP. Continuous pharmacogenomics and genomic medicine education for healthcare professionals through electronic educational courses. Per Med 2019; 16:189-193. [DOI: 10.2217/pme-2019-0014] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Affiliation(s)
- Evangelia-Eirini Tsermpini
- Laboratory of Pharmacogenomics & Individualized Therapy, Department of Pharmacy, University of Patras School of Health Sciences, Patras GR-265 04, Greece
| | - Theano Stamopoulou
- Laboratory of Pharmacogenomics & Individualized Therapy, Department of Pharmacy, University of Patras School of Health Sciences, Patras GR-265 04, Greece
| | - Zoe Kordou
- Laboratory of Pharmacogenomics & Individualized Therapy, Department of Pharmacy, University of Patras School of Health Sciences, Patras GR-265 04, Greece
| | - Evaggelia Barba
- Laboratory of Pharmacogenomics & Individualized Therapy, Department of Pharmacy, University of Patras School of Health Sciences, Patras GR-265 04, Greece
| | - Stavroula Siamoglou
- Laboratory of Pharmacogenomics & Individualized Therapy, Department of Pharmacy, University of Patras School of Health Sciences, Patras GR-265 04, Greece
| | - Andreas Stathoulias
- Laboratory of Pharmacogenomics & Individualized Therapy, Department of Pharmacy, University of Patras School of Health Sciences, Patras GR-265 04, Greece
| | - George P Patrinos
- Laboratory of Pharmacogenomics & Individualized Therapy, Department of Pharmacy, University of Patras School of Health Sciences, Patras GR-265 04, Greece
- Department of Pathology, College of Medicine and Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
- Zayed Center of Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
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Association Study Between Serotonin Transporter Gene and Fluoxetine Response in Mexican Patients With Major Depressive Disorder. Clin Neuropharmacol 2019; 42:9-13. [PMID: 30520759 DOI: 10.1097/wnf.0000000000000315] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Pharmacogenetic studies have identified genetic variants associated with fluoxetine response in patients with major depression disorder (MDD). The serotonin transporter gene is the principal site of action of selective serotonin reuptake inhibitors. Previous studies analyzing SLC6A4 gene variants are inconsistent and differ among populations. The aim of the present study was to analyze the association between 5-HTTLPR/rs24531 triallelic polymorphism and fluoxetine response in Mexican patients with MDD. METHODS We analyzed a sample of 150 patients with MDD. Fluoxetine response was assessed according to a reduction in the Hamilton Depression Rating Scale and Montgomery Depression Rating Scale scores of 50% or more at 8 weeks from baseline. In addition, we analyzed the genotype and allele distribution between responder and nonresponder patients in a subgroup of very severe depression patients. RESULTS We did not find association between fluoxetine responders and 5-HTTLPR/rs25531 variants (P = 0.0637). However, in the analysis of severe depression at baseline (Hamilton Depression Rating Scale ≥ 25), we observed a high frequency of low activity alleles (S/LG) in nonresponders patients (P = 0.0102). CONCLUSIONS Our findings showed an association between low activity alleles of SLC6A4 gene and fluoxetine nonresponse in patients with severe depression.
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Monostory K, Nagy A, Tóth K, Bűdi T, Kiss Á, Déri M, Csukly G. Relevance of CYP2C9 Function in Valproate Therapy. Curr Neuropharmacol 2019; 17:99-106. [PMID: 29119932 PMCID: PMC6341495 DOI: 10.2174/1570159x15666171109143654] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2017] [Revised: 10/09/2017] [Accepted: 11/07/2017] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Genetic polymorphisms of drug metabolizing enzymes can substantially modify the pharmacokinetics of a drug and eventually its efficacy or toxicity; however, inferring a patient's drug metabolizing capacity merely from his or her genotype can lead to false prediction. Non-genetic host factors (age, sex, disease states) and environmental factors (nutrition, comedication) can transiently alter the enzyme expression and activities resulting in genotypephenotype mismatch. Although valproic acid is a well-tolerated anticonvulsant, pediatric patients are particularly vulnerable to valproate injury that can be partly attributed to the age-related differences in metabolic pathways. METHODS CYP2C9 mediated oxidation of valproate, which is the minor metabolic pathway in adults, appears to become the principal route in children. Genetic and non-genetic variations in CYP2C9 activity can result in significant inter- and intra-individual differences in valproate pharmacokinetics and valproate induced adverse reactions. RESULTS The loss-of-function alleles, CYP2C9*2 or CYP2C9*3, display significant reduction in valproate metabolism in children; furthermore, low CYP2C9 expression in patients with CYP2C9*1/*1 genotype also leads to a decrease in valproate metabolizing capacity. Due to phenoconversion, the homozygous wild genotype, expected to be translated to CYP2C9 enzyme with normal activity, is transiently switched into poor (or extensive) metabolizer phenotype. CONCLUSION Novel strategy for valproate therapy adjusted to CYP2C9-status (CYP2C9 genotype and CYP2C9 expression) is strongly recommended in childhood. The early knowledge of pediatric patients' CYP2C9-status facilitates the optimization of valproate dosing which contributes to the avoidance of misdosing induced adverse reactions, such as abnormal blood levels of ammonia and alkaline phosphatase, and improves the safety of children's anticonvulsant therapy.
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Affiliation(s)
- Katalin Monostory
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary
| | - Andrea Nagy
- Heim Pal Children's Hospital, Budapest, Hungary
| | - Katalin Tóth
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary
| | - Tamás Bűdi
- 2nd Department of Pediatrics, Semmelweis University, Budapest, Hungary
| | - Ádám Kiss
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary
| | - Máté Déri
- Institute of Enzymology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary
| | - Gábor Csukly
- Department of Psychiatry and Psychotherapy, Semmelweis University, Budapest, Hungary
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Abstract
Pharmacogenetic testing to aid in making decisions about prescribing medications was approved by the U.S. Food and Drug Administration in 2005 and gradually became a common practice. However, an innovation that was thought to help individualize prescribing psychotropic medications with fewer trials and errors soon became a disappointment to clinicians. Current pharmacogenetic testing assesses how the liver metabolizes drugs through the cytochrome p 450 system; however, much of the variability in how a drug affects an individual also relies on the pharmacodynamics of the drug (i.e., the specific ways the drug changes the body). The current article discusses the advantages and disadvantages of pharmacogenetic testing to aid in prescribing psychotropic medications. [Journal of Psychosocial Nursing and Mental Health Services, 57(4), 9-12.].
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González‐Robledo LM, Serván‐Mori E, Casas‐López A, Flores‐Hernández S, Bravo ML, Sánchez‐González G, Nigenda G. Use of DNA sequencing for noncommunicable diseases in low‐income and middle‐income countries' primary care settings: A narrative synthesis. Int J Health Plann Manage 2018; 34:e46-e71. [DOI: 10.1002/hpm.2698] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2018] [Accepted: 10/09/2018] [Indexed: 12/20/2022] Open
Affiliation(s)
| | | | | | | | | | | | - Gustavo Nigenda
- National School of Nursing and Obstetrics, National Autonomous University of México México City México
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Personalised Medicine: The Odyssey from Hope to Practice. J Pers Med 2018; 8:jpm8040031. [PMID: 30248964 PMCID: PMC6313378 DOI: 10.3390/jpm8040031] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 09/17/2018] [Accepted: 09/18/2018] [Indexed: 01/08/2023] Open
Abstract
In this endeavour, inspired by the Odyssey, we aim to embark with the reader on a journey on a ship from Troy to Ithaca, coursing through the history of the momentous events and achievements that paved the way for personalised medicine. We will set sail amidst important genetic discoveries, beginning with the discovery of the first human genome, and voyage through the projects that contributed to the progress of pharmacogenomic studies. Concurrently, we will propose methods to overcome the obstacles that are slowing the potential full implementation of accumulated knowledge into everyday practice. This journey aims to reflect on the frontiers of current genetic knowledge and the practical use of this knowledge in preventive, diagnostic and pharmacogenomic approaches to directly impact the socio-economic aspects of public health.
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Billings J, Racsa PN, Bordenave K, Long CL, Ellis JJ. The impact of real-world cardiovascular-related pharmacogenetic testing in an insured population. Int J Clin Pract 2018; 72:e13088. [PMID: 29767472 DOI: 10.1111/ijcp.13088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Accepted: 03/20/2018] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Pharmacogenomics is intended to help clinicians provide the right drug to the right patient at an appropriate dose. However, limited evidence of clinical utility has slowed uptake of pharmacogenomic testing (PGT). OBJECTIVE To evaluate the impact of real-world cardiovascular (CV)-related PGT on clinical outcomes, healthcare resource utilisation (HCRU) and cost in a large, heterogeneous population. METHODS Individuals with Medicare Advantage Prescription Drug, Medicaid, or commercial coverage between 1/1/2011 and 9/30/2015 and ≥1 atherosclerotic CV-related diagnosis were identified. Those with ≥1 claim for CV-related PGT were included in the test group (index date = 1st PGT claim) and matched 1:2 to controls without PGT. Individuals aged <22 or ≥90 years old on the index date, with <12 months continuous enrollment before and after the index date, or without an ASCVD-related diagnosis in the 12-month pre-index period were excluded. The primary outcome was occurrence of a major CV event during the 12-month post-index period. RESULTS After adjustment, the PGT group was significantly more likely to experience ischaemic stroke, pulmonary embolism, deep vein thrombosis or a composite event compared with controls. Adjusting for baseline characteristics, HCRU was significantly higher for the test group across all measured outcomes except all-cause and ASCVD-related inpatient admissions. Median all-cause and ASCVD-related healthcare costs were significantly higher for the test group. CONCLUSIONS Real world PGT in a large population did not improve outcomes. Tailoring medication therapy to each patient holds great promise for providing quality care but a deeper understanding of how widespread utilisation of PGT might impact objective health outcomes is needed.
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Affiliation(s)
| | - Patrick N Racsa
- Comprehensive Health Insights, Humana Inc., Louisville, KY, USA
| | | | - Charron L Long
- Research and Publications, Humana Inc., Louisville, KY, USA
| | - Jeffrey J Ellis
- Comprehensive Health Insights, Humana Inc., Louisville, KY, USA
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Ji Y, Si Y, McMillin GA, Lyon E. Clinical pharmacogenomics testing in the era of next generation sequencing: challenges and opportunities for precision medicine. Expert Rev Mol Diagn 2018; 18:411-421. [PMID: 29634383 DOI: 10.1080/14737159.2018.1461561] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
INTRODUCTION The rapid development and dramatic decrease in cost of sequencing techniques have ushered the implementation of genomic testing in patient care. Next generation DNA sequencing (NGS) techniques have been used increasingly in clinical laboratories to scan the whole or part of the human genome in order to facilitate diagnosis and/or prognostics of genetic disease. Despite many hurdles and debates, pharmacogenomics (PGx) is believed to be an area of genomic medicine where precision medicine could have immediate impact in the near future. Areas covered: This review focuses on lessons learned through early attempts of clinically implementing PGx testing; the challenges and opportunities that PGx testing brings to precision medicine in the era of NGS. Expert commentary: Replacing targeted analysis approach with NGS for PGx testing is neither technically feasible nor necessary currently due to several technical limitations and uncertainty involved in interpreting variants of uncertain significance for PGx variants. However, reporting PGx variants out of clinical whole exome or whole genome sequencing (WES/WGS) might represent additional benefits for patients who are tested by WES/WGS.
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Affiliation(s)
- Yuan Ji
- a ARUP Laboratories and Department of Pathology , University of Utah School of Medicine , Salt Lake City , UT , USA
| | - Yue Si
- a ARUP Laboratories and Department of Pathology , University of Utah School of Medicine , Salt Lake City , UT , USA
| | - Gwendolyn A McMillin
- a ARUP Laboratories and Department of Pathology , University of Utah School of Medicine , Salt Lake City , UT , USA
| | - Elaine Lyon
- a ARUP Laboratories and Department of Pathology , University of Utah School of Medicine , Salt Lake City , UT , USA
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Kalinderi K, Asimakopoulos B, Nikolettos N, Manolopoulos VG. Pharmacogenomics in IVF: A New Era in the Concept of Personalized Medicine. Reprod Sci 2018; 26:1313-1325. [PMID: 29587614 DOI: 10.1177/1933719118765970] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Pharmacogenomics is a promising approach in the field of individualized medicine in in vitro fertilization (IVF) treatment that aims to develop optimized pharmacotherapy depending on the genetic background of each infertile woman, thus to ensure maximum effectiveness of the medication used, with minimal side effects. The unique genetic information of each infertile woman, in combination with already known, as well as new predictors of ovarian response and the progress of pharmacoepigenomics, is anticipated to greatly benefit the process of controlled ovarian stimulation. This review analyses current data on IVF pharmacogenomics, a new approach that is gradually moving to the frontline of modern IVF treatment.
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Affiliation(s)
- Kallirhoe Kalinderi
- Department of General Biology, Medical School, Aristotle University of Thessaloniki, Thessaloniki, Greece.,3rd Department of Obstetrics and Gynaecology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Byron Asimakopoulos
- Laboratory of Physiology, School of Medicine, Democritus University of Thrace, Alexandroupolis, Greece
| | - Nikos Nikolettos
- Laboratory of Reproductive Physiology-In Vitro Fertilization, School of Medicine, Democritus University of Thrace, Alexandroupolis, Greece
| | - Vangelis G Manolopoulos
- Laboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece
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Pasipoularides A. Implementing genome-driven personalized cardiology in clinical practice. J Mol Cell Cardiol 2018; 115:142-157. [PMID: 29343412 PMCID: PMC5820118 DOI: 10.1016/j.yjmcc.2018.01.008] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Revised: 01/04/2018] [Accepted: 01/12/2018] [Indexed: 12/18/2022]
Abstract
Genomics designates the coordinated investigation of a large number of genes in the context of a biological process or disease. It may be long before we attain comprehensive understanding of the genomics of common complex cardiovascular diseases (CVDs) such as inherited cardiomyopathies, valvular diseases, primary arrhythmogenic conditions, congenital heart syndromes, hypercholesterolemia and atherosclerotic heart disease, hypertensive syndromes, and heart failure with preserved/reduced ejection fraction. Nonetheless, as genomics is evolving rapidly, it is constructive to survey now pertinent concepts and breakthroughs. Today, clinical multimodal electronic medical/health records (EMRs/EHRs) incorporating genomic information establish a continuously-learning, vast knowledge-network with seamless cycling between clinical application and research. It can inform insights into specific pathogenetic pathways, guide biomarker-assisted precise diagnoses and individualized treatments, and stratify prognoses. Complex CVDs blend multiple interacting genomic variants, epigenetics, and environmental risk-factors, engendering progressions of multifaceted disease-manifestations, including clinical symptoms and signs. There is no straight-line linkage between genetic cause(s) or causal gene-variant(s) and disease phenotype(s). Because of interactions involving modifier-gene influences, (micro)-environmental, and epigenetic effects, the same variant may actually produce dissimilar abnormalities in different individuals. Implementing genome-driven personalized cardiology in clinical practice reveals that the study of CVDs at the level of molecules and cells can yield crucial clinical benefits. Complementing evidence-based medicine guidelines from large ("one-size fits all") randomized controlled trials, genomics-based personalized or precision cardiology is a most-creditable paradigm: It provides customizable approaches to prevent, diagnose, and manage CVDs with treatments directly/precisely aimed at causal defects identified by high-throughput genomic technologies. They encompass stem cell and gene therapies exploiting CRISPR-Cas9-gene-editing, and metabolomic-pharmacogenomic therapeutic modalities, precisely fine-tuned for the individual patient. Following the Human Genome Project, many expected genomics technology to provide imminent solutions to intractable medical problems, including CVDs. This eagerness has reaped some disappointment that advances have not yet materialized to the degree anticipated. Undoubtedly, personalized genetic/genomics testing is an emergent technology that should not be applied without supplementary phenotypic/clinical information: Genotype≠Phenotype. However, forthcoming advances in genomics will naturally build on prior attainments and, combined with insights into relevant epigenetics and environmental factors, can plausibly eradicate intractable CVDs, improving human health and well-being.
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Affiliation(s)
- Ares Pasipoularides
- Consulting Professor of Surgery, Emeritus Faculty of Surgery and of Biomedical Engineering, Duke University School of Medicine and Graduate School, Durham, NC 27710, USA.
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Abdela OA, Bhagavathula AS, Gebreyohannes EA, Tegegn HG. Ethiopian health care professionals' knowledge, attitude, and interests toward pharmacogenomics. Pharmgenomics Pers Med 2017; 10:279-285. [PMID: 29255371 PMCID: PMC5722011 DOI: 10.2147/pgpm.s145336] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Pharmacogenomics is a field of science which studies the impact of inheritance on individual variation in medication therapy response. AIM We assessed healthcare professionals' knowledge, attitude, and interest toward pharmacogenomics. METHODS A cross-sectional survey was conducted using a 32-item questionnaire among physicians, nurses, and pharmacists who were working at the University of Gondar Referral and Teaching Hospital in northwest Ethiopia. Descriptive statistics was applied, and the categorical variables were summarized as frequency and percentages. An analysis of variance (ANOVA) test was performed to compare mean scores among health professionals. A p-value of <0.05 was considered as statistically significant. RESULTS Of 292 health professionals who responded, the majority were male (60%) and the mean age of study participants was 27.00 (±4.85 SD) years. The mean knowledge scores of all participants, pharmacists, physicians, and nurses were 2.343±1.109, 2.671±1.059, 2.375±1.093, and 2.173±1.110, respectively. Based on the ANOVA test, a statistically significant difference was noted in mean knowledge score between pharmacists and nurses (p=0.002). More than two-thirds (67.33%) of nurses, 42.86% of pharmacists, and 40.27% of physicians who participated did not know that genetic variations can account for as much as 95% of the variability in drug disposition and effects. The ability to accurately apply their knowledge to drug therapy selection, dosing, or monitoring parameter was reported by 35.3% of the participants. More than two-thirds (69.2%) of participants thought that pharmacogenomic testing will allow the identification of the right drug with less side effects. Most of the participants (83.2%) also requested to have training on pharmacogenomics. CONCLUSION Participants showed limited knowledge, but they had positive attitude toward pharmacogenomics. Educational programs focusing on pharmacogenomic testing and its clinical application need to be emphasized.
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Affiliation(s)
- Ousman Abubeker Abdela
- Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Akshaya Srikanth Bhagavathula
- Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Eyob Alemayehu Gebreyohannes
- Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Henok Getachew Tegegn
- Department of Clinical Pharmacy, School of Pharmacy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
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Fortinguerra S, Buriani A, Sorrenti V, Lenzi M, Giusti P. Molecular network-selected pharmacogenomics in a case of bipolar spectrum disorder. Pharmacogenomics 2017; 18:1631-1642. [PMID: 29173093 DOI: 10.2217/pgs-2017-0133] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Personal genomic analysis was used for molecular diagnosis and pharmacogenomics in a 53-year-old female suffering from alternating depressive and dysphoric episodes. A total of 52 genes and 108 SNPs were analyzed in the whole genome. Results from the pharmacogenomic analysis were consistent with the pharmacological history and indicate mutations associated with low monoaminergic tone, but also a hyperactive 5HT2A receptor, a feature that associates to a high probability of developing a bipolar condition, especially under 5-hydroxytryptamine potentiating pharmacology. This aligns with the patient developing dysphoria with high clomipramine. The pharmacokinetic genomics pointed out to some absorption, distribution, metabolism, and excretion (ADME) alterations that can lower or nullify drug's activity. A personalized regimen was proposed, with a positive outcome after 1 year.
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Affiliation(s)
- Stefano Fortinguerra
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group, (Synlab Limited) Padova 35100, Italy
| | - Alessandro Buriani
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group, (Synlab Limited) Padova 35100, Italy
| | - Vincenzo Sorrenti
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group, (Synlab Limited) Padova 35100, Italy.,Department of Pharmaceutical & Pharmacological Sciences, University of Padova, Padova, Italy
| | - Michele Lenzi
- Maria Paola Belloni Center for Personalized Medicine, Data Medica Group, (Synlab Limited) Padova 35100, Italy
| | - Pietro Giusti
- Department of Pharmaceutical & Pharmacological Sciences, University of Padova, Padova, Italy
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Horgan D, de Braud F, Jonsson B, Vallone S, Jagielska B, Koeva J, Geanta M. The Three-Way Pendulum of Healthcare Innovation. Biomed Hub 2017; 2:22-25. [PMID: 31988926 PMCID: PMC6945919 DOI: 10.1159/000479489] [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: 06/22/2017] [Accepted: 07/06/2017] [Indexed: 11/19/2022] Open
Abstract
We are, understandably, forever hearing about the high cost of bringing innovative new drugs and treatments to the healthcare market, especially medicines for smaller subgroups, and the fact that member state health systems often baulk at the prices. This article will argue that such a bypassing and blocking of innovative medicines and treatments is not only counterproductive when it comes to the health of Europe's patients, but actually fails to take into account the economic arguments. The article seeks to show that the long-term benefit to patients and the economy (health means wealth) will outweigh initial costs down the line. Couple this with a smarter use of information technologies and other resources and it will be possible to get much closer to building sustainable healthcare systems in a Europe struggling under the burden of an ageing population.
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Affiliation(s)
- Denis Horgan
- European Alliance for Personalised Medicine, Brussels, Belgium
| | - Filippo de Braud
- Dipartimento di Oncologia Medica, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | | | | | - Beata Jagielska
- Maria Skłodowska-Curie Institute - Oncology Centre, Warsaw, Poland
| | - Jasmina Koeva
- Bulgaria Alliance for Personalised Medicine, Sofia, Bulgaria
| | - Marius Geanta
- Centre for Innovation in Medicine, Bucharest, Romania
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Rapid evidence review of the comparative effectiveness, harms, and cost-effectiveness of pharmacogenomics-guided antidepressant treatment versus usual care for major depressive disorder. Psychopharmacology (Berl) 2017; 234:1649-1661. [PMID: 28456840 DOI: 10.1007/s00213-017-4622-9] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2017] [Accepted: 03/30/2017] [Indexed: 01/28/2023]
Abstract
OBJECTIVE This study aims to conduct an evidence review of the effectiveness, harms, and cost-effectiveness of pharmacogenomics-guided antidepressant treatment for major depressive disorder. METHODS We searched MEDLINE®, the Cochrane Central Registry of Controlled Trials, and PsycINFO through February 2017. We used prespecified criteria to select studies, abstract data, and rate internal validity and strength of the evidence (PROSPERO number CRD42016036358). RESULTS We included two randomized trials (RCT), five controlled cohort studies, and six modeling studies of mostly women in their mid-40s with few comorbidities. CNSDose (ABCB1, ABCC1, CYP2C19, CYP2D6, UGT1A1) is the only pharmacogenomics test that significantly improved remission (one additional remitting patient in 12 weeks per three genotyped, 95% CI 1.7 to 3.5) and reduced intolerability in an RCT. ABCB1 genotyping leads to one additional remitting patient in 5 weeks per three genotyped (95% CI 3 to 20), but tolerability was not reported. In an RCT, GeneSight (CYP2D6, CYPC19, CYP1A2, SLC6A4, HTR2A) did not statistically significantly improve remission, and evidence is inconclusive about its tolerability. Evidence is generally low strength because RCTs were few and underpowered. Cost-effectiveness is unclear due to lack of directly observed cost-effectiveness outcomes. We found no studies that evaluated whether pharmacogenomics shortens time to optimal treatment, whether improvements were due to switches to genetically congruent medication, or whether effectiveness varies based on test and patient characteristics. CONCLUSIONS Certain pharmacogenomics tools show promise of improving short-term remission rates in women in their mid-40s with few comorbidities. But, important evidence limitations preclude recommending their widespread use and indicate a need for further research.
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Kolliopoulou A, Stratopoulos A, Siamoglou S, Sgourou A, Ali BR, Papachatzopoulou A, Katsila T, Patrinos GP. Key Pharmacogenomic Considerations for Sickle Cell Disease Patients. OMICS : A JOURNAL OF INTEGRATIVE BIOLOGY 2017; 21:314-322. [PMID: 28486096 DOI: 10.1089/omi.2017.0058] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Sickle cell disease (SCD), although a monogenic disease, exhibits a complex clinical phenotype that hampers optimum patient stratification and disease management, especially on hydroxyurea treatment. Moreover, theranostics, the combination of diagnostics to individualize and optimize therapeutic interventions, has not been firmly on the forefront of SCD research and clinical management to date. We suggest that if tailor-made theranostics in SCD is envisaged, pharmacogenomics is anticipated to be the way forward. Herein, we present the current key pharmacogenomic opportunities and challenges in SCD, considering population variation, ethics, and socioeconomic aspects. We focus on pharmacogenomics and pain management, genethics, and cost-effectiveness in SCD. We searched for and synthesized data from PubMed and Google Scholar, and the references from relevant articles, using the keywords "pharmacogenomics," "sickle cell disease," "hydroxyurea," "ethics," "pain management," "morphine metabolism," "opioids," "pharmacogenomics and chronic pain," "cost-effectiveness," and "economic evaluation." Only articles published in English were included. So far, when pharmacogenomics in SCD has been considered, interindividual variability in hydroxyurea response/toxicity has been of primary interest. We underscore the need to extend pharmacogenomic considerations on other therapeutic interventions currently present using a holistic patient-centric approach, and taking disease complications into account as well. Furthermore, we raise awareness toward socioeconomic, ethical, and population differences in the way sickle cell pharmacogenomics might unfold in the future. If pharmacogenomics in SCD is to be used in the clinic in an evidence-based manner, cost-effectiveness and population-specific empirical ethics data are urgently needed.
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Affiliation(s)
- Alexandra Kolliopoulou
- 1 Department of Pharmacy, School of Health Sciences, University of Patras , Patras, Greece
| | - Apostolos Stratopoulos
- 1 Department of Pharmacy, School of Health Sciences, University of Patras , Patras, Greece
| | - Stavroula Siamoglou
- 1 Department of Pharmacy, School of Health Sciences, University of Patras , Patras, Greece
| | | | - Bassam R Ali
- 3 Department of Pathology, College of Medicine & Health Sciences, United Arab Emirates University , Al-Ain, United Arab Emirates
| | | | - Theodora Katsila
- 1 Department of Pharmacy, School of Health Sciences, University of Patras , Patras, Greece
| | - George P Patrinos
- 1 Department of Pharmacy, School of Health Sciences, University of Patras , Patras, Greece .,3 Department of Pathology, College of Medicine & Health Sciences, United Arab Emirates University , Al-Ain, United Arab Emirates
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Al-Mahayri ZN, Patrinos GP, Ali BR. Pharmacogenomics in pediatric acute lymphoblastic leukemia: promises and limitations. Pharmacogenomics 2017; 18:687-699. [PMID: 28468529 DOI: 10.2217/pgs-2017-0005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Despite the significant advances achieved in pediatric acute lymphocytic leukemia (ALL) treatment, adverse side effects of drugs remain a challenging issue. Numerous ALL pharmacogenomic studies have been conducted to elucidate the predisposing genetic factors for their development. Plausible pharmacogenomic data are available for the osteonecrosis associated with glucocorticoids, the neurotoxicity associated with vincristine and the cardiotoxicity related to anthracyclines. However, these data have not been fully translated into the clinic due to several limitations, most importantly the lack of reliable evidence. The most robust pharmacogenomics data are those for thiopurines and methotrexate use, with evidence-based preemptive testing recommendations for the former. Pharmacogenomics has a significant potential utility in pediatric ALL treatment regimens. In this review, gaps and limitations in this field are emphasized, which may provide a useful guide for future research design.
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Affiliation(s)
- Zeina N Al-Mahayri
- Department of Pathology, College of Medicine & Health Sciences, United Arab Emirates University, United Arab Emirates
| | - George P Patrinos
- Department of Pathology, College of Medicine & Health Sciences, United Arab Emirates University, United Arab Emirates.,Department of Pharmacy, School of Health Sciences, University of Patras, University Campus, Rion, Patras, Greece
| | - Bassam R Ali
- Department of Pathology, College of Medicine & Health Sciences, United Arab Emirates University, United Arab Emirates
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Schuck RN, Charlab R, Blumenthal GM. Leveraging Genomic Factors to Improve Benefit-Risk. Clin Transl Sci 2017; 10:78-83. [PMID: 28160443 PMCID: PMC5355972 DOI: 10.1111/cts.12439] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2016] [Accepted: 12/29/2016] [Indexed: 01/09/2023] Open
Affiliation(s)
- R N Schuck
- U.S. Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, Maryland, USA
| | - R Charlab
- U.S. Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, Maryland, USA
| | - G M Blumenthal
- U.S. Food and Drug Administration, Center for Drug Evaluation and Research, Silver Spring, Maryland, USA
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Alanazi A. Incorporating Pharmacogenomics into Health Information Technology, Electronic Health Record and Decision Support System: An Overview. J Med Syst 2016; 41:19. [DOI: 10.1007/s10916-016-0673-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Accepted: 12/07/2016] [Indexed: 10/20/2022]
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Patrinos GP, Katsila T. Pharmacogenomics education and research at the Department of Pharmacy, University of Patras, Greece. Pharmacogenomics 2016; 17:1865-1872. [DOI: 10.2217/pgs-2016-0142] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
The Pharmacogenomics and Personalized Medicine group belongs to the Laboratory of Molecular Biology and Immunology, Department of Pharmacy and is active since 2009 mainly in the field of pharmacogenomics and personalized medicine. Herein, we describe the research interests, collaborations and accomplishments of the Pharmacogenomics and Personalized Medicine group together with the teaching activities of the group that greatly enhance the pharmacogenomics knowledge of graduate/postgraduate students and healthcare professionals.
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Affiliation(s)
- George P Patrinos
- Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
- Department of Pathology, College of Medicine & Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
- Department of Bioinformatics, Faculty of Health Sciences, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Theodora Katsila
- Department of Pharmacy, School of Health Sciences, University of Patras, Patras, Greece
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Gravia A, Chondrou V, Kolliopoulou A, Kourakli A, John A, Symeonidis A, Ali BR, Sgourou A, Papachatzopoulou A, Katsila T, Patrinos GP. Correlation of SIN3A genomic variants with β-hemoglobinopathies disease severity and hydroxyurea treatment efficacy. Pharmacogenomics 2016; 17:1785-1793. [PMID: 27767389 DOI: 10.2217/pgs-2016-0076] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
AIMS Hemoglobinopathies, particularly β-thalassemia and sickle cell disease, are characterized by great phenotypic variability in terms of disease severity, while notable differences have been observed in hydroxyurea treatment efficacy. In both cases, the observed phenotypic diversity is mostly dependent on the elevated fetal hemoglobin levels, resulting from the persistent fetal globin gene expression in the adult erythroid stage orchestrated by intricate mechanisms that still remain only partly understood. We have previously shown that several protein factors act as modifiers of fetal hemoglobin production, exerting their effect via different pathways. MATERIALS & METHODS Here, we explored whether SIN3A could act as a modifier of fetal globin gene expression, as it interacts with KLF10, a known modifier of fetal hemoglobin production. RESULTS We show that SIN3A genomic variants are associated both with β-thalassemia disease severity (rs11072544) as well as hydroxyurea treatment response (rs7166737) in β-hemoglobinopathies patients. CONCLUSION Our findings further underline that fetal hemoglobin production is the result of a complex interplay in which several human globin gene cluster variants interact with protein factors encoded by modifier genes to produce the observed clinical outcome.
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Affiliation(s)
- Aikaterini Gravia
- Department of Pharmacy, School of Health Sciences, University of Patras, University Campus, Rion, Patras, Greece
| | - Vasiliki Chondrou
- Department of Pharmacy, School of Health Sciences, University of Patras, University Campus, Rion, Patras, Greece
| | - Alexandra Kolliopoulou
- Department of Pharmacy, School of Health Sciences, University of Patras, University Campus, Rion, Patras, Greece
| | - Alexandra Kourakli
- Hematology Division, Department of Internal Medicine, Faculty of Medicine, University of Patras, Patras, Greece
| | - Anne John
- Department of Pathology, College of Medicine & Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
| | - Argyris Symeonidis
- Hematology Division, Department of Internal Medicine, Faculty of Medicine, University of Patras, Patras, Greece
| | - Bassam R Ali
- Department of Pathology, College of Medicine & Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
| | | | | | - Theodora Katsila
- Department of Pharmacy, School of Health Sciences, University of Patras, University Campus, Rion, Patras, Greece
| | - George P Patrinos
- Department of Pharmacy, School of Health Sciences, University of Patras, University Campus, Rion, Patras, Greece.,Department of Pathology, College of Medicine & Health Sciences, United Arab Emirates University, Al-Ain, United Arab Emirates
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Alessandrini M, Chaudhry M, Dodgen TM, Pepper MS. Pharmacogenomics and Global Precision Medicine in the Context of Adverse Drug Reactions: Top 10 Opportunities and Challenges for the Next Decade. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2016; 20:593-603. [PMID: 27643672 PMCID: PMC5072285 DOI: 10.1089/omi.2016.0122] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
In a move indicative of the enthusiastic support of precision medicine, the U.S. President Barack Obama announced the Precision Medicine Initiative in January 2015. The global precision medicine ecosystem is, thus, receiving generous support from the United States ($215 million), and numerous other governments have followed suit. In the context of precision medicine, drug treatment and prediction of its outcomes have been important for nearly six decades in the field of pharmacogenomics. The field offers an elegant solution for minimizing the effects and occurrence of adverse drug reactions (ADRs). The Clinical Pharmacogenetics Implementation Consortium (CPIC) plays an important role in this context, and it aims at specifically guiding the translation of clinically relevant and evidence-based pharmacogenomics research. In this forward-looking analysis, we make particular reference to several of the CPIC guidelines and their role in guiding the treatment of highly relevant diseases, namely cardiovascular disease, major depressive disorder, cancer, and human immunodeficiency virus, with a view to predicting and managing ADRs. In addition, we provide a list of the top 10 crosscutting opportunities and challenges facing the fields of precision medicine and pharmacogenomics, which have broad applicability independent of the drug class involved. Many of these opportunities and challenges pertain to infrastructure, study design, policy, and science culture in the early 21st century. Ultimately, rational pharmacogenomics study design and the acquisition of comprehensive phenotypic data that proportionately match the genomics data should be an imperative as we move forward toward global precision medicine.
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Affiliation(s)
- Marco Alessandrini
- Department of Immunology, Faculty of Health Sciences, and Institute for Cellular and Molecular Medicine, South African Medical Research Council Extramural Unit for Stem Cell Research and Therapy, University of Pretoria , Pretoria, South Africa
| | - Mamoonah Chaudhry
- Department of Immunology, Faculty of Health Sciences, and Institute for Cellular and Molecular Medicine, South African Medical Research Council Extramural Unit for Stem Cell Research and Therapy, University of Pretoria , Pretoria, South Africa
| | - Tyren M Dodgen
- Department of Immunology, Faculty of Health Sciences, and Institute for Cellular and Molecular Medicine, South African Medical Research Council Extramural Unit for Stem Cell Research and Therapy, University of Pretoria , Pretoria, South Africa
| | - Michael S Pepper
- Department of Immunology, Faculty of Health Sciences, and Institute for Cellular and Molecular Medicine, South African Medical Research Council Extramural Unit for Stem Cell Research and Therapy, University of Pretoria , Pretoria, South Africa
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Mizzi C, Dalabira E, Kumuthini J, Dzimiri N, Balogh I, Başak N, Böhm R, Borg J, Borgiani P, Bozina N, Bruckmueller H, Burzynska B, Carracedo A, Cascorbi I, Deltas C, Dolzan V, Fenech A, Grech G, Kasiulevicius V, Kádaši Ľ, Kučinskas V, Khusnutdinova E, Loukas YL, Macek M, Makukh H, Mathijssen R, Mitropoulos K, Mitropoulou C, Novelli G, Papantoni I, Pavlovic S, Saglio G, Setric J, Stojiljkovic M, Stubbs AP, Squassina A, Torres M, Turnovec M, van Schaik RH, Voskarides K, Wakil SM, Werk A, del Zompo M, Zukic B, Katsila T, Lee MTM, Motsinger-Rief A, Mc Leod HL, van der Spek PJ, Patrinos GP. A European Spectrum of Pharmacogenomic Biomarkers: Implications for Clinical Pharmacogenomics. PLoS One 2016; 11:e0162866. [PMID: 27636550 PMCID: PMC5026342 DOI: 10.1371/journal.pone.0162866] [Citation(s) in RCA: 71] [Impact Index Per Article: 8.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 08/30/2016] [Indexed: 12/26/2022] Open
Abstract
Pharmacogenomics aims to correlate inter-individual differences of drug efficacy and/or toxicity with the underlying genetic composition, particularly in genes encoding for protein factors and enzymes involved in drug metabolism and transport. In several European populations, particularly in countries with lower income, information related to the prevalence of pharmacogenomic biomarkers is incomplete or lacking. Here, we have implemented the microattribution approach to assess the pharmacogenomic biomarkers allelic spectrum in 18 European populations, mostly from developing European countries, by analyzing 1,931 pharmacogenomics biomarkers in 231 genes. Our data show significant inter-population pharmacogenomic biomarker allele frequency differences, particularly in 7 clinically actionable pharmacogenomic biomarkers in 7 European populations, affecting drug efficacy and/or toxicity of 51 medication treatment modalities. These data also reflect on the differences observed in the prevalence of high-risk genotypes in these populations, as far as common markers in the CYP2C9, CYP2C19, CYP3A5, VKORC1, SLCO1B1 and TPMT pharmacogenes are concerned. Also, our data demonstrate notable differences in predicted genotype-based warfarin dosing among these populations. Our findings can be exploited not only to develop guidelines for medical prioritization, but most importantly to facilitate integration of pharmacogenomics and to support pre-emptive pharmacogenomic testing. This may subsequently contribute towards significant cost-savings in the overall healthcare expenditure in the participating countries, where pharmacogenomics implementation proves to be cost-effective.
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Affiliation(s)
- Clint Mizzi
- Erasmus University Medical Center, Faculty of Medicine, Department of Bioinformatics, Rotterdam, the Netherlands
- University of Malta, Faculty of Medicine and Surgery, Department of Physiology and Biochemistry, Msida, Malta
| | - Eleni Dalabira
- University of Patras School of Health Sciences, Department of Pharmacy, Patras, Greece
| | - Judit Kumuthini
- Center for Proteomic and Genomic Research, Observatory, Cape Town, South Africa
| | - Nduna Dzimiri
- King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | | | | | - Ruwen Böhm
- University of Kiel, Institute for Experimental and Clinical Pharmacology, Kiel, Germany
| | - Joseph Borg
- University of Malta, Department of Applied Biomedical Science, Faculty of Health Sciences, Msida, Malta
| | - Paola Borgiani
- University of Rome “Tor Vergata”, Department of Biomedicine and Prevention, Rome, Italy
| | | | - Henrike Bruckmueller
- University of Kiel, Institute for Experimental and Clinical Pharmacology, Kiel, Germany
| | - Beata Burzynska
- Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Warsaw, Poland
| | | | - Ingolf Cascorbi
- University of Kiel, Institute for Experimental and Clinical Pharmacology, Kiel, Germany
| | - Constantinos Deltas
- University of Cyprus, Molecular Medicine Research Center, Department of Biological Sciences, Nicosia, Cyprus
| | - Vita Dolzan
- University of Ljubljana Faculty of Medicine, Ljubljana, Slovenia
| | - Anthony Fenech
- University of Malta, Faculty of Medicine, Department of Surgery, Msida, Malta
| | - Godfrey Grech
- University of Malta, Faculty of Medicine, Department of Surgery, Msida, Malta
| | - Vytautas Kasiulevicius
- Department of Human and Medical Genetics, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Ľudevít Kádaši
- Comenius University, Faculty of Natural Sciences, Bratislava, Slovakia
- Center for Molecular Medicine, Slovak Academy of Sciences, Bratislava, Slovakia
| | - Vaidutis Kučinskas
- Department of Human and Medical Genetics, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Elza Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Scientific Center, Russian Academy of Sciences, Ufa, Russia
- Department of Genetics and Fundamental Medicine, Bashkir State University, Ufa, Russia
| | - Yiannis L. Loukas
- University of Athens, Faculty of Pharmacy, Department of Pharmaceutical Chemistry, Athens, Greece
| | - Milan Macek
- Charles University, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic
| | - Halyna Makukh
- Institute of Hereditary Pathology, Ukrainian National Academy of Medical Sciences, Lviv, Ukraine
| | - Ron Mathijssen
- Erasmus University Medical Center, Department of Clinical Chemistry, Rotterdam, the Netherlands
| | | | - Christina Mitropoulou
- Erasmus University Medical Center, Department of Clinical Chemistry, Rotterdam, the Netherlands
| | - Giuseppe Novelli
- University of Rome “Tor Vergata”, Department of Biomedicine and Prevention, Rome, Italy
| | - Ioanna Papantoni
- University of Patras School of Health Sciences, Department of Pharmacy, Patras, Greece
| | - Sonja Pavlovic
- Institute of Molecular Genetics and Genetic Engineering University of Belgrade, Laboratory of Molecular Biomedicine, Belgrade, Serbia
| | | | - Jadranka Setric
- University Hospital Centre, Zagreb, Croatia
- University of Zagreb School of Medicine, Zagreb, Croatia
| | - Maja Stojiljkovic
- Institute of Molecular Genetics and Genetic Engineering University of Belgrade, Laboratory of Molecular Biomedicine, Belgrade, Serbia
| | - Andrew P. Stubbs
- Erasmus University Medical Center, Faculty of Medicine, Department of Bioinformatics, Rotterdam, the Netherlands
| | - Alessio Squassina
- University of Cagliari, Department of Biomedical Sciences, Cagliari, Italy
| | - Maria Torres
- University of Santiago de Compostela, Santiago, Spain
| | - Marek Turnovec
- Charles University, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic
| | - Ron H. van Schaik
- Erasmus University Medical Center, Department of Clinical Chemistry, Rotterdam, the Netherlands
| | - Konstantinos Voskarides
- University of Cyprus, Molecular Medicine Research Center, Department of Biological Sciences, Nicosia, Cyprus
| | - Salma M. Wakil
- King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Anneke Werk
- University of Kiel, Institute for Experimental and Clinical Pharmacology, Kiel, Germany
| | - Maria del Zompo
- University of Cagliari, Department of Biomedical Sciences, Cagliari, Italy
| | - Branka Zukic
- Institute of Molecular Genetics and Genetic Engineering University of Belgrade, Laboratory of Molecular Biomedicine, Belgrade, Serbia
| | - Theodora Katsila
- University of Patras School of Health Sciences, Department of Pharmacy, Patras, Greece
| | - Ming Ta Michael Lee
- RIKEN Institute, Center for Genomic Medicine, Laboratory for International Alliance, Yokohama, Japan
| | - Alison Motsinger-Rief
- North Carolina State University, Department of Statistics, Raleigh, NC, United States of America
| | | | - Peter J. van der Spek
- Erasmus University Medical Center, Faculty of Medicine, Department of Bioinformatics, Rotterdam, the Netherlands
| | - George P. Patrinos
- Erasmus University Medical Center, Faculty of Medicine, Department of Bioinformatics, Rotterdam, the Netherlands
- University of Patras School of Health Sciences, Department of Pharmacy, Patras, Greece
- * E-mail:
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ePGA: A Web-Based Information System for Translational Pharmacogenomics. PLoS One 2016; 11:e0162801. [PMID: 27631363 PMCID: PMC5025168 DOI: 10.1371/journal.pone.0162801] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2016] [Accepted: 08/29/2016] [Indexed: 11/19/2022] Open
Abstract
One of the challenges that arise from the advent of personal genomics services is to efficiently couple individual data with state of the art Pharmacogenomics (PGx) knowledge. Existing services are limited to either providing static views of PGx variants or applying a simplistic match between individual genotypes and existing PGx variants. Moreover, there is a considerable amount of haplotype variation associated with drug metabolism that is currently insufficiently addressed. Here, we present a web-based electronic Pharmacogenomics Assistant (ePGA; http://www.epga.gr/) that provides personalized genotype-to-phenotype translation, linked to state of the art clinical guidelines. ePGA's translation service matches individual genotype-profiles with PGx gene haplotypes and infers the corresponding diplotype and phenotype profiles, accompanied with summary statistics. Additional features include i) the ability to customize translation based on subsets of variants of clinical interest, and ii) to update the knowledge base with novel PGx findings. We demonstrate ePGA's functionality on genetic variation data from the 1000 Genomes Project.
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Abstract
Personalized medicine is the study of patients' unique environmental influences as well as the totality of their genetic code-their genome-to tailor personalized risk assessments, diagnoses, prognoses, and treatments. The study of how patients' genomes affect responses to medications, or pharmacogenomics, is a related field. Personalized medicine and genomics are particularly relevant in oncology because of the genetic basis of cancer. Nurses need to understand related issues such as the role of genetic and genomic counseling, the ethical and legal questions surrounding genomics, and the growing direct-to-consumer genomics industry. As genomics research is incorporated into health care, nurses need to understand the technology to provide advocacy and education for patients and their families.
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Affiliation(s)
- Andrew Blix
- Complex Care Hospital at Ridgelake, Sarasota, FL
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49
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Nassan M, Nicholson WT, Elliott MA, Rohrer Vitek CR, Black JL, Frye MA. Pharmacokinetic Pharmacogenetic Prescribing Guidelines for Antidepressants: A Template for Psychiatric Precision Medicine. Mayo Clin Proc 2016; 91:897-907. [PMID: 27289413 DOI: 10.1016/j.mayocp.2016.02.023] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Revised: 02/22/2016] [Accepted: 02/29/2016] [Indexed: 12/21/2022]
Abstract
Antidepressants are commonly prescribed medications in the United States, and there is increasing interest in individualizing treatment selection for more than 20 US Food and Drug Administration-approved treatments for major depressive disorder. Providing greater precision to pharmacotherapeutic recommendations for individual patients beyond the large-scale clinical trials evidence base can potentially reduce adverse effect toxicity profiles and increase response rates and overall effectiveness. It is increasingly recognized that genetic variation may contribute to this differential risk to benefit ratio and thus provides a unique opportunity to develop pharmacogenetic guidelines for psychiatry. Key studies and concepts that review the rationale for cytochrome P450 2D6 (CYP2D6) and cytochrome P450 2C19 (CYP2C19) genetic testing can be delineated by serum levels, adverse events, and clinical outcome measures (eg, antidepressant response). In this article, we report the evidence that contributed to the implementation of pharmacokinetic pharmacogenetic guidelines for antidepressants primarily metabolized by CYP2D6 and CYP2C19.
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Affiliation(s)
- Malik Nassan
- Department of Psychiatry and Psychology and Mayo Clinic Depression Center, Mayo Clinic, Rochester, MN
| | | | - Michelle A Elliott
- Department of Internal Medicine, Division of Hematology, Mayo Clinic, Rochester, MN
| | | | - John L Black
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Mark A Frye
- Department of Psychiatry and Psychology and Mayo Clinic Depression Center, Mayo Clinic, Rochester, MN.
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Chaudhry M, Alessandrini M, Pepper MS. Pharmacogenomics for infectious diseases in sub-Saharan Africa: Successes and opportunities. Appl Transl Genom 2016; 9:3-5. [PMID: 27354934 PMCID: PMC4911428 DOI: 10.1016/j.atg.2016.04.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Mamoonah Chaudhry
- Department of Immunology, and Institute of Cellular and Molecular Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Marco Alessandrini
- Department of Immunology, and Institute of Cellular and Molecular Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
| | - Michael S Pepper
- Department of Immunology, and Institute of Cellular and Molecular Medicine, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa
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