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Scherf-Clavel M, Weber H, Unterecker S, Müller DJ, Deckert J. Frequencies of CYP2C19 and CYP2D6 gene variants in a German inpatient sample with mood and anxiety disorders. World J Biol Psychiatry 2024:1-8. [PMID: 38493365 DOI: 10.1080/15622975.2024.2321553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/12/2024] [Indexed: 03/18/2024]
Abstract
OBJECTIVES Previous results demonstrated that CYP2D6 and CYP2C19 gene variants affect serum concentrations of antidepressants. We implemented a PGx service determining gene variants in CYP2D6 and CYP2C19 in our clinical routine care and report on our first patient cohort. METHODS We analysed CYP2D6 and CYP2C19 allele, genotype, and phenotype frequencies, and actionable pharmacogenetic variants in this German psychiatric inpatient cohort. Two-tailed z-test was used to investigate for differences in CYP2D6 and CYP2C19 phenotypes and actionable/non-actionable genetic variant frequencies between our cohort and reference cohorts. RESULTS Out of the 154 patients included, 44.8% of patients were classified as CYP2D6 normal metabolizer, 38.3% as intermediate metabolizers, 8.4% as poor metabolizers, and 2.6% as ultrarapid metabolizers. As for CYP2C19, 40.9% of patients were classified as normal metabolizers, 19.5% as intermediate metabolizers, 2.6% as poor metabolizers, 31.2% as rapid metabolizers, and 5.8% as ultrarapid metabolizers. Approximately, 80% of patients had at least one actionable PGx variant. CONCLUSION There is a high prevalence of actionable PGx variants in psychiatric inpatients which may affect treatment response. Physicians should refer to PGx-informed dosing guidelines in carriers of these variants. Pre-emptive PGx testing in general may facilitate precision medicine also for other drugs metabolised by CYP2D6 and/or CYP2C19.
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Affiliation(s)
- Maike Scherf-Clavel
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Heike Weber
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Stefan Unterecker
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
| | - Daniel J Müller
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of Mental Health, University Hospital of Würzburg, Würzburg, Germany
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Loftus J, Levy HP, Stevenson JM. Documentation of results and medication prescribing after combinatorial psychiatric pharmacogenetic testing: A case for discrete results. Genet Med 2024; 26:101056. [PMID: 38153010 DOI: 10.1016/j.gim.2023.101056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 12/18/2023] [Accepted: 12/20/2023] [Indexed: 12/29/2023] Open
Abstract
PURPOSE Combinatorial pharmacogenetic (PGx) panels intended to aid psychiatric prescribing are available to clinicians. Here, we evaluated the documentation of PGx panel results and subsequent prescribing patterns within a tertiary health care system. METHODS We performed a query of psychiatry service note text in our electronic health record using 71 predefined PGx terms. Patients who underwent combinatorial PGx testing were identified, and documentation of test results was analyzed. Prescription data following testing were examined for the frequency of prescriptions influenced by genes on the panel along with the medical specialties involved. RESULTS A total of 341 patients received combinatorial PGx testing, and documentation of results was found to be absent or incomplete for 198 patients (58%). The predominant method of documentation was through portable document formats uploaded to the electronic health record's "Media" section. Among patients with at least 1 year of follow-up, a large majority (194/228, 85%) received orders for medications affected by the tested genes, including 132 of 228 (58%) patients receiving at least 1 non-psychiatric medication influenced by the test results. CONCLUSION Results from combinatorial PGx testing were poorly documented. Medications affected by these results were often prescribed after testing, highlighting the need for discrete results and clinical decision support.
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Affiliation(s)
- John Loftus
- Johns Hopkins University School of Medicine, Baltimore, MD
| | - Howard P Levy
- Maryland Primary Care Physicians, Hanover, MD; Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD
| | - James M Stevenson
- Division of Clinical Pharmacology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD.
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Gan P, Hajis MIB, Yumna M, Haruman J, Matoha HK, Wahyudi DT, Silalahi S, Oktariani DR, Dela F, Annisa T, Pitaloka TDA, Adhiwijaya PK, Pauzi RY, Hertanto R, Kumaheri MA, Sani L, Irwanto A, Pradipta A, Chomchopbun K, Gonzalez-Porta M. Development and validation of a pharmacogenomics reporting workflow based on the illumina global screening array chip. Front Pharmacol 2024; 15:1349203. [PMID: 38529185 PMCID: PMC10961362 DOI: 10.3389/fphar.2024.1349203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 02/05/2024] [Indexed: 03/27/2024] Open
Abstract
Background: Microarrays are a well-established and widely adopted technology capable of interrogating hundreds of thousands of loci across the human genome. Combined with imputation to cover common variants not included in the chip design, they offer a cost-effective solution for large-scale genetic studies. Beyond research applications, this technology can be applied for testing pharmacogenomics, nutrigenetics, and complex disease risk prediction. However, establishing clinical reporting workflows requires a thorough evaluation of the assay's performance, which is achieved through validation studies. In this study, we performed pre-clinical validation of a genetic testing workflow based on the Illumina Global Screening Array for 25 pharmacogenomic-related genes. Methods: To evaluate the accuracy of our workflow, we conducted multiple pre-clinical validation studies. Here, we present the results of accuracy and precision assessments, involving a total of 73 cell lines. These assessments encompass reference materials from the Genome-In-A-Bottle (GIAB), the Genetic Testing Reference Material Coordination Program (GeT-RM) projects, as well as additional samples from the 1000 Genomes project (1KGP). We conducted an accuracy assessment of genotype calls for target loci in each indication against established truth sets. Results: In our per-sample analysis, we observed a mean analytical sensitivity of 99.39% and specificity 99.98%. We further assessed the accuracy of star-allele calls by relying on established diplotypes in the GeT-RM catalogue or calls made based on 1KGP genotyping. On average, we detected a diplotype concordance rate of 96.47% across 14 pharmacogenomic-related genes with star allele-calls. Lastly, we evaluated the reproducibility of our findings across replicates and observed 99.48% diplotype and 100% phenotype inter-run concordance. Conclusion: Our comprehensive validation study demonstrates the robustness and reliability of the developed workflow, supporting its readiness for further development for applied testing.
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Affiliation(s)
- Pamela Gan
- Nalagenetics Pte Ltd., Singapore, Singapore
| | | | | | | | | | | | | | | | - Fitria Dela
- PT Genomik Solidaritas Indonesia, Jakarta, Indonesia
| | - Tazkia Annisa
- PT Genomik Solidaritas Indonesia, Jakarta, Indonesia
| | | | | | | | | | | | | | | | - Ariel Pradipta
- PT Genomik Solidaritas Indonesia, Jakarta, Indonesia
- Department Biochemistry and Molecular Biology, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
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Shilbayeh SAR, Adeen IS, Alhazmi AS, Aljurayb H, Altokhais RS, Alhowaish N, Aldilaijan KE, Kamal M, Alnakhli AM. The polymorphisms of candidate pharmacokinetic and pharmacodynamic genes and their pharmacogenetic impacts on the effectiveness of risperidone maintenance therapy among Saudi children with autism. Eur J Clin Pharmacol 2024:10.1007/s00228-024-03658-w. [PMID: 38421437 DOI: 10.1007/s00228-024-03658-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 02/22/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND Antipsychotics, including risperidone (RIS), are frequently indicated for various autism spectrum disorder (ASD) manifestations; however, "actionable" PGx testing in psychiatry regarding antipsychotic dosing and selection has limited applications in routine clinical practice because of the lack of standard guidelines, mostly due to the inconsistency and scarcity of genetic variant data. The current study is aimed at examining the association of RIS effectiveness, according to ABC-CV and CGI indexes, with relevant pharmacokinetics (PK) and pharmacodynamics (PD) genes. METHODS Eighty-nine ASD children who received a consistent RIS-based regimen for at least 8 weeks were included. The Axiom PharmacoFocus Array technique was employed to generate accurate star allele-predicted phenotypes of 3 PK genes (CYP3A4, CYP3A5, and CYP2D6). Genotype calls for 5 candidate PD receptor genes (DRD1, DRD2, DRD3, HTR2C, and HTR2A) were obtained and reported as wild type, heterozygous, or homozygous for 11 variants. RESULTS Based on the ABC total score, 42 (47.2%) children were classified as responders, while 47 (52.8%) were classified as nonresponders. Multivariate logistic regression analyses, adjusted for nongenetic factors, suggested nonsignificant impacts of the star allele-predicted phenotypes of all 3 PK genes on improvement in ASD symptoms or CGI scores. However, significant positive or negative associations of certain PD variants involved in dopaminergic and serotonergic pathways were observed with specific ASD core and noncore symptom subdomains. Our significant polymorphism findings, mainly those in DRD2 (rs1800497, rs1799978, and rs2734841), HTR2C (rs3813929), and HTR2A (rs6311), were largely consistent with earlier findings (predictors of RIS effectiveness in adult schizophrenia patients), confirming their validity for identifying ASD children with a greater likelihood of core symptom improvement compared to noncarriers/wild types. Other novel findings of this study, such as significant improvements in DRD3 rs167771 carriers, particularly in ABC total and lethargy/social withdrawal scores, and DRD1 rs1875964 homozygotes and DRD2 rs1079598 wild types in stereotypic behavior, warrant further verification in biochemical and clinical studies to confirm their feasibility for inclusion in a PGx panel. CONCLUSION In conclusion, we provide evidence of potential genetic markers involved in clinical response variability to RIS therapy in ASD children. However, replication in prospective samples with greater ethnic diversity and sample sizes is necessary.
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Affiliation(s)
- Sireen Abdul Rahim Shilbayeh
- Department of Pharmacy Practice, College of Pharmacy, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
| | - Iman Sharaf Adeen
- Department of Pediatric Behavior and Development and Adolescent Medicine, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Ayman Shawqi Alhazmi
- Department of Pediatric Behavior and Development and Adolescent Medicine, King Saud Medical City, Riyadh, Saudi Arabia
| | - Haya Aljurayb
- Molecular Pathology Laboratory, Pathology and Clinical Laboratory Medicine Administration, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Rana Saad Altokhais
- Department of Pediatric Behavior and Development and Adolescent Medicine, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Nourah Alhowaish
- Department of Prevention and Research, King Abdullah International Medical Research Center (KAIMRC), King Abdulaziz Medical City, Ministry of National Guard - Health Affairs, Riyadh, Saudi Arabia
| | - Khawlah Essa Aldilaijan
- Health Sciences Research Center, King Abdullah Bin Abdulaziz University Hospital, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Mostafa Kamal
- Department of Life Science Application Support, Gulf Scientific Corporation, Riyadh, Saudi Arabia
| | - Anwar Mansour Alnakhli
- Department of Pharmaceutical Sciences, College of Pharmacy, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
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5
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Behdani AM, Lai J, Kim C, Basalelah L, Halsey T, Donohoe KL, Wijesinghe D. Optimizing pharmacogenomic decision-making by data science. PLOS Digit Health 2024; 3:e0000451. [PMID: 38329943 PMCID: PMC10852335 DOI: 10.1371/journal.pdig.0000451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 01/17/2024] [Indexed: 02/10/2024]
Abstract
Healthcare systems have made rapid progress towards combining data science with precision medicine, particularly in pharmacogenomics. With the lack of predictability in medication effectiveness from patient to patient, acquiring the specifics of their genotype would be highly advantageous for patient treatment. Genotype-guided dosing adjustment improves clinical decision-making and helps optimize doses to deliver medications with greater efficacy and within safe margins. Current databases demand extensive effort to locate relevant genetic dosing information. To address this problem, Patient Optimization Pharmacogenomics (POPGx) was constructed. The objective of this paper is to describe the development of POPGx, a tool to simplify the approach for healthcare providers to determine pharmacogenomic dosing recommendations for patients taking multiple medications. Additionally, this tool educates patients on how their allele variations may impact gene function in case they need further healthcare consultations. POPGx was created on Konstanz Information Miner (KNIME). KNIME is a modular environment that allows users to conduct code-free data analysis. The POPGx workflow can access Clinical Pharmacogenomics Implementation Consortium (CPIC) guidelines and subsequently be able to present relevant dosing and counseling information. A KNIME representational state transfer (REST) application program interface (API) node was established to retrieve information from CPIC and drugs that are exclusively metabolized through CYP450, and these drugs were processed simultaneously to demonstrate competency of the workflow. The POPGx program provides a time-efficient method for users to retrieve relevant, patient-specific medication selection and dosing recommendations. Users input metabolizer gene, genetic allele data, and medication list to retrieve clear dosing information. The program is automated to display current guideline recommendations from CPIC. The integration of this program into healthcare systems has the potential to revolutionize patient care by giving healthcare practitioners an easy way to prescribe medications with greater efficacy and safety by utilizing the latest advancements in the field of pharmacogenomics.
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Affiliation(s)
- Amir M. Behdani
- Department of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University School of Pharmacy, Richmond, Virginia, United States of America
| | - Jessica Lai
- Department of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University School of Pharmacy, Richmond, Virginia, United States of America
| | - Christina Kim
- Department of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University School of Pharmacy, Richmond, Virginia, United States of America
| | - Lama Basalelah
- Department of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University School of Pharmacy, Richmond, Virginia, United States of America
| | - Trey Halsey
- Department of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University School of Pharmacy, Richmond, Virginia, United States of America
| | - Krista L. Donohoe
- Department of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University School of Pharmacy, Richmond, Virginia, United States of America
| | - Dayanjan Wijesinghe
- Department of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University School of Pharmacy, Richmond, Virginia, United States of America
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Abad-Santos F, Aliño SF, Borobia AM, García-Martín E, Gassó P, Maroñas O, Agúndez JAG. Developments in pharmacogenetics, pharmacogenomics, and personalized medicine. Pharmacol Res 2024; 200:107061. [PMID: 38199278 DOI: 10.1016/j.phrs.2024.107061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/13/2023] [Accepted: 01/04/2024] [Indexed: 01/12/2024]
Abstract
The development of Pharmacogenetics and Pharmacogenomics in Western Europe is highly relevant in the worldwide scenario. Despite the usually low institutional support, many research groups, composed of basic and clinical researchers, have been actively working for decades in this field. Their contributions made an international impact and paved the way for further studies and pharmacogenomics implementation in clinical practice. In this manuscript, that makes part of the Special Issue entitled Spanish Pharmacology, we present an analysis of the state of the art of Pharmacogenetics and Pharmacogenomics research in Europe, we compare it with the developments in Spain, and we summarize the most salient contributions since 1988 to the present, as well as recent developments in the clinical application of pharmacogenomics knowledge. Finally, we present some considerations on how we could improve translation to clinical practice in this specific scenario.
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Affiliation(s)
- Francisco Abad-Santos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Universidad Autónoma de Madrid (UAM), CIBEREHD, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain.
| | - Salvador F Aliño
- Gene Therapy and Pharmacogenomics Group, Department of Pharmacology, Faculty of Medicine, Universitat de València, Av. Blasco Ibáñez 15, 46010 Valencia, Spain
| | - Alberto M Borobia
- Clinical Pharmacology Department, La Paz University Hospital, School of Medicine, Universidad Autónoma de Madrid (UAM), IdiPAZ, Madrid, Spain
| | - Elena García-Martín
- Department of Pharmacology, Universidad de Extremadura, Avda de la Universidad s/n, 10071 Cáceres, Spain
| | - Patricia Gassó
- Basic Clinical Practice Department, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona Clínic Schizophrenia Unit (BCSU), IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Olalla Maroñas
- Public Foundation of Genomic Medicine, Santiago University Hospital, Genomic Medicine group, Pharmacogenetics and Drug Discovery (GenDeM), CIBERER, Santiago Health Research Institute (IDIS), Galicia, Spain
| | - José A G Agúndez
- Universidad de Extremadura. University Institute of Molecular Pathology Biomarkers, Avda de las Ciencias s/n, 10071 Cáceres, Spain.
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Zhao L, Giacomini KM, van der Graaf PH. Progress in Clinical Pharmacology in China: A Randomized Controlled Study to Advance Genotype-Guided Precision Medicine. Clin Pharmacol Ther 2024; 115:169-172. [PMID: 38252417 DOI: 10.1002/cpt.3126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 12/04/2023] [Indexed: 01/23/2024]
Affiliation(s)
- Liang Zhao
- Division of Quantitative Methods in Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Kathleen M Giacomini
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA
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Abouelhoda M, Almuqati N, Abogosh A, Alfraih F, Maddirevula S, Alkuraya FS. Mining local exome and HLA data to characterize pharmacogenetic variants in Saudi Arabia. Hum Genet 2024; 143:125-136. [PMID: 38159139 DOI: 10.1007/s00439-023-02628-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 11/24/2023] [Indexed: 01/03/2024]
Abstract
Pharmacogenomics (PGx) is a promising field of precision medicine where efficacy of drugs is maximized while side effects are minimized for individual patients. Knowledge of the frequency of PGx-relevant variants (pharmacovariants) in the local population is a pre-requisite to informed policy making. Unfortunately, such knowledge is largely lacking from the Middle East. Here, we describe the use of a large clinical exome database (n = 13,473) and HLA haplotypes (n = 64,737) from Saudi Arabia, one of the largest countries in the Middle East, along with previously published data from the local population to ascertain allele frequencies of known pharmacovariants. In addition, we queried another exome database (n = 816) of well-phenotyped research subjects from Saudi Arabia to discover novel candidate variants in known PGx genes (pharmacogenes). Although our results show that only 26% (63/242) of class 1A/1B PharmGKB variants were identified, we estimate that 99.57% of the local population have at least one such variant. This translates to a minimum estimated impact of 9% of medications dispensed by our medical center annually. We also highlight the contribution of rare variants where 71% of the pharmacogenes devoid of common pharmacovariants had at least one potentially deleterious rare variant. Thus, we show that approaches that go beyond the use of commercial PGx kits that have been optimized for other populations should be implemented to ensure universal and equitable access of all members of the local population to personalized prescription practices.
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Affiliation(s)
- Mohamed Abouelhoda
- Department of Computational Sciences, Centre for Genomic Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Noura Almuqati
- Department of Translational Genomics, Centre for Genomic Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Ahmed Abogosh
- Department of Translational Genomics, Centre for Genomic Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Feras Alfraih
- Oncology Centre, Faisal Specialist Hospital and Research Centre, Riyadh, King, Saudi Arabia
| | - Sateesh Maddirevula
- Department of Translational Genomics, Centre for Genomic Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia
| | - Fowzan S Alkuraya
- Department of Translational Genomics, Centre for Genomic Medicine, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia.
- Department of Anatomy and Cell Biology, College of Medicine, Alfaisal University, 11533, Riyadh, Saudi Arabia.
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Bashiardes S, Christodoulou C. Orally Administered Drugs and Their Complicated Relationship with Our Gastrointestinal Tract. Microorganisms 2024; 12:242. [PMID: 38399646 PMCID: PMC10893523 DOI: 10.3390/microorganisms12020242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/18/2024] [Accepted: 01/22/2024] [Indexed: 02/25/2024] Open
Abstract
Orally administered compounds represent the great majority of all pharmaceutical compounds produced for human use and are the most popular among patients since they are practical and easy to self-administer. Following ingestion, orally administered drugs begin a "perilous" journey down the gastrointestinal tract and their bioavailability is modulated by numerous factors. The gastrointestinal (GI) tract anatomy can modulate drug bioavailability and accounts for interpatient drug response heterogeneity. Furthermore, host genetics is a contributor to drug bioavailability modulation. Importantly, a component of the GI tract that has been gaining notoriety with regard to drug treatment interactions is the gut microbiota, which shares a two-way interaction with pharmaceutical compounds in that they can be influenced by and are able to influence administered drugs. Overall, orally administered drugs are a patient-friendly treatment option. However, during their journey down the GI tract, there are numerous host factors that can modulate drug bioavailability in a patient-specific manner.
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Affiliation(s)
- Stavros Bashiardes
- Molecular Virology Department, Cyprus Institute of Neurology and Genetics, Iroon Avenue 6, Nicosia 2371, Cyprus;
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10
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Hurrell T, Naidoo J, Masimirembwa C, Scholefield J. The Case for Pre-Emptive Pharmacogenetic Screening in South Africa. J Pers Med 2024; 14:114. [PMID: 38276236 PMCID: PMC10817273 DOI: 10.3390/jpm14010114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 01/27/2024] Open
Abstract
Lack of equitable representation of global genetic diversity has hampered the implementation of genomic medicine in under-represented populations, including those on the African continent. Data from the multi-national Pre-emptive Pharmacogenomic Testing for Preventing Adverse Drug Reactions (PREPARE) study suggest that genotype guidance for prescriptions reduced the incidence of clinically relevant adverse drug reactions (ADRs) by 30%. In this study, hospital dispensary trends from a tertiary South African (SA) hospital (Steve Biko Academic Hospital; SBAH) were compared with the drugs monitored in the PREPARE study. Dispensary data on 29 drugs from the PREPARE study accounted for ~10% of total prescriptions and ~9% of the total expenditure at SBAH. VigiLyze data from the South African Health Products Regulatory Authority were interrogated for local ADRs related to these drugs; 27 were listed as being suspected, concomitant, or interacting in ADR reports. Furthermore, a comparison of pharmacogene allele frequencies between African and European populations was used to frame the potential impact of pre-emptive pharmacogenetic screening in SA. Enumerating the benefit of pre-emptive pharmacogenetic screening in SA will only be possible once we initiate its full application. However, regional genomic diversity, disease burden, and first-line treatment options could be harnessed to target stratified PGx today.
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Affiliation(s)
- Tracey Hurrell
- Bioengineering and Integrated Genomics Group, Future Production Chemicals Cluster, Council for Scientific and Industrial Research, Pretoria 0001, South Africa; (T.H.); (J.N.)
| | - Jerolen Naidoo
- Bioengineering and Integrated Genomics Group, Future Production Chemicals Cluster, Council for Scientific and Industrial Research, Pretoria 0001, South Africa; (T.H.); (J.N.)
| | - Collen Masimirembwa
- African Institute of Biomedical Science and Technology, Harare 00263, Zimbabwe;
- Sydney Brenner Institute for Molecular Biology, Division of Human Genetics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa
| | - Janine Scholefield
- Bioengineering and Integrated Genomics Group, Future Production Chemicals Cluster, Council for Scientific and Industrial Research, Pretoria 0001, South Africa; (T.H.); (J.N.)
- Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town 7925, South Africa
- Division of Human Genetics, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg 2193, South Africa
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Larrue R, Fellah S, Hennart B, Sabaouni N, Boukrout N, Van der Hauwaert C, Delage C, Cheok M, Perrais M, Cauffiez C, Allorge D, Pottier N. Integrating rare genetic variants into DPYD pharmacogenetic testing may help preventing fluoropyrimidine-induced toxicity. Pharmacogenomics J 2024; 24:1. [PMID: 38216550 PMCID: PMC10786722 DOI: 10.1038/s41397-023-00322-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 10/23/2023] [Accepted: 12/05/2023] [Indexed: 01/14/2024]
Abstract
Variability in genes involved in drug pharmacokinetics or drug response can be responsible for suboptimal treatment efficacy or predispose to adverse drug reactions. In addition to common genetic variations, large-scale sequencing studies have uncovered multiple rare genetic variants predicted to cause functional alterations in genes encoding proteins implicated in drug metabolism, transport and response. To understand the functional importance of rare genetic variants in DPYD, a pharmacogene whose alterations can cause severe toxicity in patients exposed to fluoropyrimidine-based regimens, massively parallel sequencing of the exonic regions and flanking splice junctions of the DPYD gene was performed in a series of nearly 3000 patients categorized according to pre-emptive DPD enzyme activity using the dihydrouracil/uracil ([UH2]/[U]) plasma ratio as a surrogate marker of DPD activity. Our results underscore the importance of integrating next-generation sequencing-based pharmacogenomic interpretation into clinical decision making to minimize fluoropyrimidine-based chemotherapy toxicity without altering treatment efficacy.
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Affiliation(s)
- Romain Larrue
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, F-59000, Lille, France.
- Service de Toxicologie et Génopathies, CHU Lille, F-59000, Lille, France.
| | - Sandy Fellah
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, F-59000, Lille, France
| | - Benjamin Hennart
- Service de Toxicologie et Génopathies, CHU Lille, F-59000, Lille, France
| | - Naoual Sabaouni
- Service de Toxicologie et Génopathies, CHU Lille, F-59000, Lille, France
| | - Nihad Boukrout
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, F-59000, Lille, France
| | - Cynthia Van der Hauwaert
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, F-59000, Lille, France
| | - Clément Delage
- Service de Toxicologie et Génopathies, CHU Lille, F-59000, Lille, France
| | - Meyling Cheok
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, F-59000, Lille, France
| | - Michaël Perrais
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, F-59000, Lille, France
| | - Christelle Cauffiez
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, F-59000, Lille, France
| | - Delphine Allorge
- Service de Toxicologie et Génopathies, CHU Lille, F-59000, Lille, France
| | - Nicolas Pottier
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, UMR9020-U1277-CANTHER-Cancer Heterogeneity Plasticity and Resistance to Therapies, F-59000, Lille, France
- Service de Toxicologie et Génopathies, CHU Lille, F-59000, Lille, France
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12
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Wong AK, Klepstad P, Somogyi AA, Vogrin S, Le B, Philip J, Rubio JP. Effect of gene variants on opioid dose, pain and adverse effect outcomes in advanced cancer: an explorative study. Pharmacogenomics 2023; 24:901-913. [PMID: 38126330 DOI: 10.2217/pgs-2023-0207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023] Open
Abstract
Aim: Associations between gene variants and opioid net effect are unclear. We conducted an exploratory pharmacogenetic analysis of 35 gene variants and opioid response in advanced cancer. Patients & methods: This multi-center prospective cohort study included clinical data, questionnaires (pain and adverse effects) and DNA (blood). Negative binomial regression and logistic regression were used. Results: Within 54 participants, eight statistically significant associations (p = 0.002-0.038) were observed between gene variants and opioid dose, pain scores or adverse effects, the majority being within the neuroimmune TLR4 pathway (IL1B [rs1143634], IL2 [rs2069762], IL6 [rs1800795], BDNF [rs6265]) and ARRB2 pathway (ARRB2 [rs3786047], DRD2 [rs6275]). Conclusion: Neuroimmune pathway genes may contribute to differences in opioid response in cancer and may be included in future similar studies.
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Affiliation(s)
- Aaron K Wong
- Peter MacCallum Cancer center, 305 Grattan St, Melbourne, Victoria, 3000, Australia
- The Royal Melbourne Hospital, 300 Grattan St, Parkville, Victoria, 3050, Australia
- Department of Medicine, University of Melbourne Eastern Hill Campus, Victoria Parade, Fitzroy, Victoria, 3065, Australia
| | - Pal Klepstad
- Department Intensive Care Medicine, St. Olavs University Hospital, Trondheim, Norway
| | - Andrew A Somogyi
- Professor of Clinical & Experimental Pharmacology, Discipline of Pharmacology, Faculty of Health & Medical Sciences, University of Adelaide, Adelaide, 5005, Australia
| | - Sara Vogrin
- Department of Medicine, St Vincent's Hospital Melbourne, University of Melbourne, Victoria, Australia
| | - Brian Le
- Peter MacCallum Cancer center, 305 Grattan St, Melbourne, Victoria, 3000, Australia
- The Royal Melbourne Hospital, 300 Grattan St, Parkville, Victoria, 3050, Australia
| | - Jennifer Philip
- Peter MacCallum Cancer center, 305 Grattan St, Melbourne, Victoria, 3000, Australia
- The Royal Melbourne Hospital, 300 Grattan St, Parkville, Victoria, 3050, Australia
- Department of Medicine, University of Melbourne Eastern Hill Campus, Victoria Parade, Fitzroy, Victoria, 3065, Australia
- St Vincent's Hospital, Palliative Care Service Victoria Parade, Fitzroy, Victoria, 3065, Australia
| | - Justin P Rubio
- Principal Research Fellow Florey Institute of Neuroscience & Mental Health, 30 Royal Parade, Victoria, 3052, Australia
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13
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Olson AW, Brown JT. How Pharmacogenomics Informs and Influences the Medication Experience. Innov Pharm 2023; 14:10.24926/iip.v14i4.5796. [PMID: 38495361 PMCID: PMC10939485 DOI: 10.24926/iip.v14i4.5796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/19/2024] Open
Abstract
Both pharmacogenomics (PGx) and the medication experience (MedXp) share a common purpose for their use, which is to optimally tailor medications to each unique individual. The former pursues this aim by using an individual's genetic makeup, while the latter considers the subjective experience of medication-taking in one's life. The different ways by which these fields of study pursue their shared aim have resulted in relatively little understanding of their relationship when utilized in care processes to produce health outcomes. This commentary explores this gap and identifies implications for future research that can help close it to improve person-centered care.
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Affiliation(s)
- Anthony W. Olson
- Department of Pharmacy Practice and Pharmaceutical Sciences, College of Pharmacy, University of Minnesota, Duluth, Minnesota
- Essentia Institute of Rural Health, Duluth, Minnesota
| | - Jacob T. Brown
- Department of Pharmacy Practice and Pharmaceutical Sciences, College of Pharmacy, University of Minnesota, Duluth, Minnesota
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14
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Principi N, Petropulacos K, Esposito S. Impact of Pharmacogenomics in Clinical Practice. Pharmaceuticals (Basel) 2023; 16:1596. [PMID: 38004461 PMCID: PMC10675377 DOI: 10.3390/ph16111596] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2023] [Revised: 11/03/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
Polymorphisms of genes encoding drug metabolizing enzymes and transporters can significantly modify pharmacokinetics, and this can be associated with significant differences in drug efficacy, safety, and tolerability. Moreover, genetic variants of some components of the immune system can explain clinically relevant drug-related adverse events. However, the implementation of drug dose individualization based on pharmacogenomics remains scarce. In this narrative review, the impact of genetic variations on the disposition, safety, and tolerability of the most commonly prescribed drugs is reported. Moreover, reasons for poor implementation of pharmacogenomics in everyday clinical settings are discussed. The literature analysis showed that knowledge of how genetic variations can modify the effectiveness, safety, and tolerability of a drug can lead to the adjustment of usually recommended drug dosages, improve effectiveness, and reduce drug-related adverse events. Despite some efforts to introduce pharmacogenomics in clinical practice, presently very few centers routinely use genetic tests as a guide for drug prescription. The education of health care professionals seems critical to keep pace with the rapidly evolving field of pharmacogenomics. Moreover, multimodal algorithms that incorporate both clinical and genetic factors in drug prescribing could significantly help in this regard. Obviously, further studies which definitively establish which genetic variations play a role in conditioning drug effectiveness and safety are needed. Many problems must be solved, but the advantages for human health fully justify all the efforts.
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Affiliation(s)
| | | | - Susanna Esposito
- Pediatric Clinic, Department of Medicine and Surgery, University Hospital of Parma, 43126 Parma, Italy
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15
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Bianchini ML, Aquilante CL, Kao DP, Martin JL, Anderson HD. Patient-Level Exposure to Actionable Pharmacogenomic Medications in a Nationally Representative Insurance Claims Database. J Pers Med 2023; 13:1574. [PMID: 38003889 PMCID: PMC10672722 DOI: 10.3390/jpm13111574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 10/25/2023] [Accepted: 11/01/2023] [Indexed: 11/26/2023] Open
Abstract
BACKGROUND The prevalence of exposure to pharmacogenomic medications is well established but little is known about how long patients are exposed to these medications. AIM Our objective was to describe the amount of exposure to actionable pharmacogenomic medications using patient-level measures among a large nationally representative population using an insurance claims database. METHODS Our retrospective cohort study included adults (18+ years) from the IQVIA PharMetrics® Plus for Academics claims database with incident fills of 72 Clinical Pharmacogenetics Implementation Consortium level A, A/B, or B medications from January 2012 through September 2018. Patient-level outcomes included the proportion of days covered (PDC), number of fills, and average days supplied per fill over a 12-month period. RESULTS Over 1 million fills of pharmacogenetic medications were identified for 605,355 unique patients. The mean PDC for all medications was 0.21 (SD 0.3), suggesting patients were exposed 21% (77 days) of the year. Medications with the highest PDC (0.55-0.89) included ivacaftor, tamoxifen, clopidogrel, HIV medications, transplant medications, and statins; with the exception of statins, these medications were initiated by fewer patients. Pharmacogenomic medications were filled an average of 2.8 times (SD 3.0, range 1-81) during the year following the medication's initiation, and the average days supplied for each fill was 22.3 days (SD 22.4, range 1-180 days). CONCLUSION Patient characteristics associated with more medication exposure were male sex, older age, and comorbid chronic conditions. Prescription fill data provide patient-level exposure metrics that can further our understanding of pharmacogenomic medication utilization and help inform opportunities for pharmacogenomic testing.
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Affiliation(s)
- Monica L. Bianchini
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (M.L.B.); (C.L.A.); (J.L.M.)
| | - Christina L. Aquilante
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (M.L.B.); (C.L.A.); (J.L.M.)
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
| | - David P. Kao
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
- School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - James L. Martin
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (M.L.B.); (C.L.A.); (J.L.M.)
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
| | - Heather D. Anderson
- Skaggs School of Pharmacy and Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; (M.L.B.); (C.L.A.); (J.L.M.)
- Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
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16
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Bhatt M, Peshkin BN, Kazi S, Schwartz MD, Ashai N, Swain SM, Smith DM. Pharmacogenomic testing in oncology: a health system's approach to identify oncology provider perspectives. Pharmacogenomics 2023; 24:859-870. [PMID: 37942634 DOI: 10.2217/pgs-2023-0164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2023] Open
Abstract
Aim: Identify oncology healthcare providers' attitudes toward barriers to and use cases for pharmacogenomic (PGx) testing and implications for prescribing anticancer and supportive care medications. Materials & methods: A questionnaire was designed and disseminated to 71 practicing oncology providers across the MedStar Health System. Results: 25 of 70 (36%) eligible oncology providers were included. 88% were aware of PGx testing and 72% believed PGx can improve care. Of providers who had ordered a medication with PGx implications in the past month, interest in PGx for anticancer (90-100%) and supportive care medications (>75%) was high. Providers with previous PGx education were more likely to have ordered a test (odds ratio: 7.9; 95% CI: 1.1-56; p = 0.0394). Conclusion: Oncology provider prescribing practices and interest in PGx suggest opportunities for implementation.
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Affiliation(s)
| | - Beth N Peshkin
- Cancer Prevention & Control Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA
| | - Sadaf Kazi
- MedStar Health, Columbia, MD 21044, USA
- National Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, DC 20008, USA
| | - Marc D Schwartz
- Cancer Prevention & Control Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA
| | - Nadia Ashai
- MedStar Health, Columbia, MD 21044, USA
- Department of Oncology, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC 20007, USA
| | - Sandra M Swain
- MedStar Health, Columbia, MD 21044, USA
- Department of Medicine, Georgetown Lombardi Comprehensive Cancer Center, Washington, DC 20007, USA
| | - D Max Smith
- MedStar Health, Columbia, MD 21044, USA
- Cancer Prevention & Control Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20007, USA
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17
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Eadon MT, Rosenman MB, Zhang P, Fulton CR, Callaghan JT, Holmes AM, Levy KD, Gupta SK, Haas DM, Vuppalanchi R, Benson EA, Kreutz RP, Tillman EM, Shugg T, Pierson RC, Gufford BT, Pratt VM, Zang Y, Desta Z, Dexter PR, Skaar TC. The INGENIOUS trial: Impact of pharmacogenetic testing on adverse events in a pragmatic clinical trial. Pharmacogenomics J 2023; 23:169-177. [PMID: 37689822 PMCID: PMC10805517 DOI: 10.1038/s41397-023-00315-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 08/20/2023] [Accepted: 08/23/2023] [Indexed: 09/11/2023]
Abstract
Adverse drug events (ADEs) account for a significant mortality, morbidity, and cost burden. Pharmacogenetic testing has the potential to reduce ADEs and inefficacy. The objective of this INGENIOUS trial (NCT02297126) analysis was to determine whether conducting and reporting pharmacogenetic panel testing impacts ADE frequency. The trial was a pragmatic, randomized controlled clinical trial, adapted as a propensity matched analysis in individuals (N = 2612) receiving a new prescription for one or more of 26 pharmacogenetic-actionable drugs across a community safety-net and academic health system. The intervention was a pharmacogenetic testing panel for 26 drugs with dosage and selection recommendations returned to the health record. The primary outcome was occurrence of ADEs within 1 year, according to modified Common Terminology Criteria for Adverse Events (CTCAE). In the propensity-matched analysis, 16.1% of individuals experienced any ADE within 1-year. Serious ADEs (CTCAE level ≥ 3) occurred in 3.2% of individuals. When combining all 26 drugs, no significant difference was observed between the pharmacogenetic testing and control arms for any ADE (Odds ratio 0.96, 95% CI: 0.78-1.18), serious ADEs (OR: 0.91, 95% CI: 0.58-1.40), or mortality (OR: 0.60, 95% CI: 0.28-1.21). However, sub-group analyses revealed a reduction in serious ADEs and death in individuals who underwent pharmacogenotyping for aripiprazole and serotonin or serotonin-norepinephrine reuptake inhibitors (OR 0.34, 95% CI: 0.12-0.85). In conclusion, no change in overall ADEs was observed after pharmacogenetic testing. However, limitations incurred during INGENIOUS likely affected the results. Future studies may consider preemptive, rather than reactive, pharmacogenetic panel testing.
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Affiliation(s)
- Michael T Eadon
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Marc B Rosenman
- Ann & Robert H. Lurie Children's Hospital of Chicago, and Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Pengyue Zhang
- Indiana University School of Medicine, Department of Biostatistics and Heath Data Science, Indianapolis, IN, USA
| | - Cathy R Fulton
- Luddy School of Informatics, Computing, and Engineering, Indianapolis, IN, 46202, USA
| | - John T Callaghan
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Ann M Holmes
- Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, IN, 46202, USA
| | - Kenneth D Levy
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Samir K Gupta
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - David M Haas
- Indiana University School of Medicine, Department of Obstetrics and Gynecology, Indianapolis, IN, USA
| | - Raj Vuppalanchi
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Eric A Benson
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Rolf P Kreutz
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Emma M Tillman
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Tyler Shugg
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Rebecca C Pierson
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
- Indiana University School of Medicine, Department of Obstetrics and Gynecology, Indianapolis, IN, USA
- Community Fertility Specialty Care, Indianapolis, IN, USA
| | - Brandon T Gufford
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Victoria M Pratt
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA
| | - Yong Zang
- Indiana University School of Medicine, Department of Biostatistics and Heath Data Science, Indianapolis, IN, USA
| | - Zeruesenay Desta
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Paul R Dexter
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA
| | - Todd C Skaar
- Indiana University School of Medicine, Department of Medicine, Indianapolis, IN, USA.
- Indiana University School of Medicine, Department of Medical and Molecular Genetics, Indianapolis, IN, USA.
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18
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Zhang L, Zhou S, Allen JD, Wang F, Pittenger AL, Bishop JR. Assessing pharmacogenomic literacy in China through validation of the Chinese version of the Minnesota Assessment of Pharmacogenomic Literacy. Clin Transl Sci 2023; 16:2356-2368. [PMID: 37721333 PMCID: PMC10651651 DOI: 10.1111/cts.13637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 08/09/2023] [Accepted: 08/30/2023] [Indexed: 09/19/2023] Open
Abstract
Pharmacogenomics (PGx) implementation into clinical care is rapidly increasing in China. However, the extent to which the public understands PGx testing and important knowledge domains requiring patient education or counseling remains unclear. To address this, we created and validated the Chinese version of the Minnesota Assessment of Pharmacogenomic Literacy (MAPL-CTM ). The MAPL-C was developed by translating the English MAPL to Chinese following cross-cultural translation guidelines. An online survey validated the MAPL-C and assessed Chinese individuals' PGx literacy. Validation analyses were performed and associations of PGx literacy with participants' characteristics were quantified. Of 959 high-quality responses, the majority of respondents were Han Chinese (96.3%), men (54.5%), aged 18-29 years (70.9%), residing in China (97.3%), and had received college or higher education (95.0%). Out of 15 starting items developed to query specific predefined knowledge domains, two uninformative items were excluded, resulting in a 13-item MAPL-C. Chinese participants' MAPL-C performance was best explained by a three-factor model, encompassing PGx concepts and function, testing limitations, and privacy. Higher MAPL-C performance was associated with younger age, higher education, and previous genetic testing experience. Correct response rates for questions related to testing limitations were lower than those in other domains. The creation and validation of the MAPL-C fills a gap in determining PGx knowledge among Chinese speakers, quantifying PGx literacy within a Chinese cohort, and identifying response patterns and knowledge gaps. The MAPL-C can be useful in clinical practice to guide patient counseling, assess PGx education interventions, and quantify PGx knowledge in relation to outcomes in research studies involving Chinese participants.
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Affiliation(s)
- Lusi Zhang
- Department of Experimental and Clinical Pharmacology, College of PharmacyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Shuqin Zhou
- Department of Emergency, Shanghai Tenth People's HospitalTongji UniversityShanghaiChina
| | - Josiah D. Allen
- Department of PharmacySt. Elizabeth HealthcareEdgewoodKentuckyUSA
| | - Fan Wang
- Department of Experimental and Clinical Pharmacology, College of PharmacyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Amy L. Pittenger
- Department of Pharmaceutical Care and Health Systems, College of PharmacyUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Jeffrey R. Bishop
- Department of Experimental and Clinical Pharmacology, College of PharmacyUniversity of MinnesotaMinneapolisMinnesotaUSA
- Department of Psychiatry and Behavioral SciencesUniversity of Minnesota Medical SchoolMinneapolisMinnesotaUSA
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19
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Baldacci A, Saguin E, Balcerac A, Mouchabac S, Ferreri F, Gaillard R, Colas MD, Delacour H, Bourla A. Pharmacogenetic Guidelines for Psychotropic Drugs: Optimizing Prescriptions in Clinical Practice. Pharmaceutics 2023; 15:2540. [PMID: 38004520 PMCID: PMC10674305 DOI: 10.3390/pharmaceutics15112540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 10/15/2023] [Accepted: 10/20/2023] [Indexed: 11/26/2023] Open
Abstract
The modalities for prescribing a psychotropic (dose and choice of molecule) are currently unsatisfactory, which can lead to a lack of efficacy of the treatment associated with prolonged exposure of the patient to the symptoms of his or her illness and the side effects of the molecule. In order to improve the quality of treatment prescription, a part of the current biomedical research is dedicated to the development of pharmacogenetic tools for individualized prescription. In this guideline, we will present the genes of interest with level 1 clinical recommendations according to PharmGKB for the two major families of psychotropics: antipsychotics and antidepressants. For antipsychotics, there are CYP2D6 and CYP3A4, and for antidepressants, CYP2B6, CYP2D6, and CYP2C19. The study will focus on describing the role of each gene, presenting the variants that cause functional changes, and discussing the implications for prescriptions in clinical practice.
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Affiliation(s)
- Antoine Baldacci
- Department of Psychiatry, Bégin Army Instruction Hospital, 94160 Saint-Mandé, France; (A.B.)
| | - Emeric Saguin
- Department of Psychiatry, Bégin Army Instruction Hospital, 94160 Saint-Mandé, France; (A.B.)
| | | | - Stéphane Mouchabac
- Department of Psychiatry, Saint-Antoine Hospital, Sorbonne University, 75012 Paris, France; (S.M.); (F.F.)
- ICRIN—Psychiatry (Infrastructure of Clinical Research in Neurosciences—Psychiatry), Brain Institute (ICM), Sorbonne Université, INSERM, CNRS, 75013 Paris, France
| | - Florian Ferreri
- Department of Psychiatry, Saint-Antoine Hospital, Sorbonne University, 75012 Paris, France; (S.M.); (F.F.)
- ICRIN—Psychiatry (Infrastructure of Clinical Research in Neurosciences—Psychiatry), Brain Institute (ICM), Sorbonne Université, INSERM, CNRS, 75013 Paris, France
| | - Raphael Gaillard
- Department of Psychiatry, Pôle Hospitalo-Universitaire, GHU Paris Psychiatrie & Neurosciences, 75014 Paris, France;
| | | | - Hervé Delacour
- Ecole du Val-de-Grâce, Army Health Service, 75005 Paris, France; (M.-D.C.); (H.D.)
- Biological Unit, Bégin Army Instruction Hospital, 94160 Saint-Mandé, France
| | - Alexis Bourla
- Department of Psychiatry, Saint-Antoine Hospital, Sorbonne University, 75012 Paris, France; (S.M.); (F.F.)
- ICRIN—Psychiatry (Infrastructure of Clinical Research in Neurosciences—Psychiatry), Brain Institute (ICM), Sorbonne Université, INSERM, CNRS, 75013 Paris, France
- Clariane, Medical Strategy and Innovation Department, 75008 Paris, France
- NeuroStim Psychiatry Practice, 75005 Paris, France
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20
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Forbes M, Hopwood M, Bousman CA. CYP2D6 and CYP2C19 Variant Coverage of Commercial Antidepressant Pharmacogenomic Testing Panels Available in Victoria, Australia. Genes (Basel) 2023; 14:1945. [PMID: 37895294 PMCID: PMC10606650 DOI: 10.3390/genes14101945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 10/08/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023] Open
Abstract
Pharmacogenomic (PGx) testing to inform antidepressant medication selection and dosing is gaining attention from healthcare professionals, patients, and payors in Australia. However, there is often uncertainty regarding which test is most suitable for a particular patient. Here, we identified and evaluated the coverage of CYP2D6 and CYP2C19 variants in commercial antidepressant PGx testing panels in Victoria, a large and ethnically diverse state of Australia. Test characteristics and star alleles tested for both genes were obtained directly from pathology laboratories offering PGx testing and compared against the Association of Molecular Pathology's recommended minimum (Tier 1) and extended (Tier 2) allele sets. Although all tests covered the minimum recommended alleles for CYP2C19, this was not the case for CYP2D6. This study emphasizes that PGx tests might not be suitable for all individuals in Australia due to the limited range of star alleles assessed. Inadequate haplotype coverage may risk misclassification of an individual's predicted metabolizer phenotype, which has ramifications for depression medication selection and dosage. This study underscores the urgent need for greater standardization in PGx testing and emphasizes the importance of considering genetic ancestry when choosing a PGx testing panel to ensure optimal clinical applicability.
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Affiliation(s)
- Malcolm Forbes
- The Institute for Mental and Physical Health and Clinical Translation (IMPACT), School of Medicine, Barwon Health, Deakin University, Geelong, VIC 3220, Australia
- Department of Psychiatry, University of Melbourne, Parkville, VIC 3050, Australia; (M.H.); (C.A.B.)
| | - Mal Hopwood
- Department of Psychiatry, University of Melbourne, Parkville, VIC 3050, Australia; (M.H.); (C.A.B.)
| | - Chad A. Bousman
- Department of Psychiatry, University of Melbourne, Parkville, VIC 3050, Australia; (M.H.); (C.A.B.)
- Department of Medical Genetics, University of Calgary, Calgary, AB T2N 4N2, Canada
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21
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Marks ME, Botta RK, Abe R, Beachkofsky TM, Boothman I, Carleton BC, Chung WH, Cibotti RR, Dodiuk-Gad RP, Grimstein C, Hasegawa A, Hoofnagle JH, Hung SI, Kaffenberger B, Kroshinsky D, Lehloenya RJ, Martin-Pozo M, Micheletti RG, Mockenhaupt M, Nagao K, Pakala S, Palubinsky A, Pasieka HB, Peter J, Pirmohamed M, Reyes M, Saeed HN, Shupp J, Sukasem C, Syu JY, Ueta M, Zhou L, Chang WC, Becker P, Bellon T, Bonnet K, Cavalleri G, Chodosh J, Dewan AK, Dominguez A, Dong X, Ezhkova E, Fuchs E, Goldman J, Himed S, Mallal S, Markova A, McCawley K, Norton AE, Ostrov D, Phan M, Sanford A, Schlundt D, Schneider D, Shear N, Shinkai K, Tkaczyk E, Trubiano JA, Volpi S, Bouchard CS, Divito SJ, Phillips EJ. Updates in SJS/TEN: collaboration, innovation, and community. Front Med (Lausanne) 2023; 10:1213889. [PMID: 37901413 PMCID: PMC10600400 DOI: 10.3389/fmed.2023.1213889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 07/31/2023] [Indexed: 10/31/2023] Open
Abstract
Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis (SJS/TEN) is a predominantly drug-induced disease, with a mortality rate of 15-20%, that engages the expertise of multiple disciplines: dermatology, allergy, immunology, clinical pharmacology, burn surgery, ophthalmology, urogynecology, and psychiatry. SJS/TEN has an incidence of 1-5/million persons per year in the United States, with even higher rates globally. One of the challenges of SJS/TEN has been developing the research infrastructure and coordination to answer questions capable of transforming clinical care and leading to improved patient outcomes. SJS/TEN 2021, the third research meeting of its kind, was held as a virtual meeting on August 28-29, 2021. The meeting brought together 428 international scientists, in addition to a community of 140 SJS/TEN survivors and family members. The goal of the meeting was to brainstorm strategies to support the continued growth of an international SJS/TEN research network, bridging science and the community. The community workshop section of the meeting focused on eight primary themes: mental health, eye care, SJS/TEN in children, non-drug induced SJS/TEN, long-term health complications, new advances in mechanisms and basic science, managing long-term scarring, considerations for skin of color, and COVID-19 vaccines. The meeting featured several important updates and identified areas of unmet research and clinical need that will be highlighted in this white paper.
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Affiliation(s)
- Madeline E. Marks
- Center for Drug Interactions and Immunology, Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Ramya Krishna Botta
- Center for Drug Interactions and Immunology, Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Riichiro Abe
- Division of Dermatology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Thomas M. Beachkofsky
- Departments of Dermatology and Medicine, Uniformed Services University, Bethesda, MD, United States
| | - Isabelle Boothman
- The SFI Centre for Research Training in Genomics Data Science, Dublin, Ireland
| | - Bruce C. Carleton
- Division of Translational Therapeutics, Department of Pediatrics, Faculty of Medicine, University of British Columbia and the British Columbia Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Wen-Hung Chung
- Department of Dermatology, Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Ricardo R. Cibotti
- National Institute of Arthritis and Musculoskeletal and Skin (NIAMS), National Institutes of Health (NIH), Bethesda, MD, United States
| | - Roni P. Dodiuk-Gad
- Department of Dermatology, Emek Medical Center, Afula, Israel
- Division of Dermatology, Department of Medicine, University of Toronto, Toronto, ON, Canada
- Department of Dermatology, Bruce Rappaport Faculty of Medicine, Technion Institute of Technology, Haifa, Israel
| | - Christian Grimstein
- Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, United States
| | - Akito Hasegawa
- Division of Dermatology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, Japan
| | - Jay H. Hoofnagle
- Liver Disease Research Branch, Division of Digestive Diseases and Nutrition of NIDDK, National Institutes of Health (NIH), Bethesda, MD, United States
| | - Shuen-Iu Hung
- Cancer Vaccine and Immune Cell Therapy Core Laboratory, Department of Medical Research, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Benjamin Kaffenberger
- Department of Dermatology, Ohio State University Wexner Medical Center, Columbus, OH, United States
| | - Daniela Kroshinsky
- Department of Dermatology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Rannakoe J. Lehloenya
- Division of Dermatology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Michelle Martin-Pozo
- Center for Drug Interactions and Immunology, Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Robert G. Micheletti
- Department of Dermatology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Maja Mockenhaupt
- Dokumentationszentrum schwerer Hautreaktionen (dZh), Department of Dermatology, Medical Center and Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Keisuke Nagao
- National Institute of Arthritis and Musculoskeletal and Skin (NIAMS), National Institutes of Health (NIH), Bethesda, MD, United States
| | - Suman Pakala
- Center for Drug Interactions and Immunology, Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Amy Palubinsky
- Center for Drug Interactions and Immunology, Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Helena B. Pasieka
- Departments of Dermatology and Medicine, Uniformed Services University, Bethesda, MD, United States
- The Burn Center, MedStar Washington Hospital Center, Washington, D.C., DC, United States
- Department of Dermatology, MedStar Health/Georgetown University, Washington, D.C., DC, United States
| | - Jonathan Peter
- Division of Allergy and Clinical Immunology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Munir Pirmohamed
- Department of Pharmacology and Therapeutics, University of Liverpool, Liverpool, United Kingdom
| | - Melissa Reyes
- Center for Drug Evaluation and Research, United States Food and Drug Administration, Silver Spring, MD, United States
| | - Hajirah N. Saeed
- Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, United States
| | - Jeffery Shupp
- Department of Surgery, Plastic and Reconstructive Surgery, Biochemistry, and Molecular and Cellular Biology, MedStar Washington Hospital Center, Georgetown University School of Medicine, Washington, D.C., DC, United States
| | - Chonlaphat Sukasem
- Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Jhih Yu Syu
- Department of Cell Biology and Anatomy, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Mayumi Ueta
- Department of Frontier Medical Science and Technology for Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan
| | - Li Zhou
- Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Wan-Chun Chang
- Division of Translational Therapeutics, Department of Pediatrics, Faculty of Medicine, University of British Columbia and the British Columbia Children’s Hospital Research Institute, Vancouver, BC, Canada
| | - Patrice Becker
- Division of Allergy, Immunology, and Transplantation, National Institute of Allergy and Infectious Disease, Bethesda, MD, United States
| | - Teresa Bellon
- Drug Hypersensitivity Laboratory, La Paz Health Research Institute (IdiPAZ), Madrid, Spain
| | - Kemberlee Bonnet
- Department of Psychology, Vanderbilt University, Nashville, TN, United States
| | - Gianpiero Cavalleri
- The SFI Centre for Research Training in Genomics Data Science, Dublin, Ireland
| | - James Chodosh
- University of New Mexico School of Medicine, Albuquerque, NM, United States
| | - Anna K. Dewan
- Department of Dermatology, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Arturo Dominguez
- Department of Dermatology and Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States
| | - Xinzhong Dong
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Elena Ezhkova
- Department of Cell, Developmental, and Regenerative Biology and Dermatology, Black Family Stem Cell Institute, Mount Sinai School of Medicine, New York, NY, United States
| | - Esther Fuchs
- Department of Obstetrics and Gynecology, University of Washington, Seattle, WA, United States
| | - Jennifer Goldman
- Division of Pediatric Infectious Diseases and Clinical Pharmacology, Children’s Mercy, Kansas City, MO, United States
| | - Sonia Himed
- College of Medicine, University of Cincinnati, Cincinnati, OH, United States
| | - Simon Mallal
- Division of Infectious Diseases, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Alina Markova
- Department of Dermatology, Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, New York, NY, United States
| | - Kerry McCawley
- Stevens-Johnson Syndrome Foundation, Westminster, CO, United States
| | - Allison E. Norton
- Division of Pediatric Allergy, Immunology, and Pulmonary Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, United States
| | - David Ostrov
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, United States
| | - Michael Phan
- Division of Pharmacovigilance-I, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, MD, United States
| | - Arthur Sanford
- Division of Trauma, Surgical Critical Care, and Burns, Loyola University Medical Center, Chicago, IL, United States
| | - David Schlundt
- Department of Psychology, Vanderbilt University, Nashville, TN, United States
| | - Daniel Schneider
- Department of Psychiatry and Surgery, MedStar Washington Hospital Center, Georgetown University School of Medicine, Washington, D.C., DC, United States
| | - Neil Shear
- Department of Dermatology, Emek Medical Center, Afula, Israel
| | - Kanade Shinkai
- Department of Dermatology, University of California, San Francisco, San Francisco, CA, United States
| | - Eric Tkaczyk
- Department of Veterans Affairs, Vanderbilt Dermatology Translational Research Clinic (VDTRC.org), Nashville, TN, United States
| | - Jason A. Trubiano
- Department of Infectious Diseases and Medicine, Austin Health, University of Melbourne, Melbourne, VIC, Australia
| | - Simona Volpi
- National Human Genome Research Institute (NHGRI), National Institutes of Health (NIH), Bethesda, MD, United States
| | - Charles S. Bouchard
- Department of Opthalmology, Loyola University Medical Center, Chicago, IL, United States
| | - Sherrie J. Divito
- Department of Dermatology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Elizabeth J. Phillips
- Center for Drug Interactions and Immunology, Division of Infectious Disease, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, United States
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22
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Li B, Sangkuhl K, Whaley R, Woon M, Keat K, Whirl-Carrillo M, Ritchie MD, Klein TE. Frequencies of pharmacogenomic alleles across biogeographic groups in a large-scale biobank. Am J Hum Genet 2023; 110:1628-1647. [PMID: 37757824 PMCID: PMC10577080 DOI: 10.1016/j.ajhg.2023.09.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 09/01/2023] [Accepted: 09/01/2023] [Indexed: 09/29/2023] Open
Abstract
Pharmacogenomics (PGx) is an integral part of precision medicine and contributes to the maximization of drug efficacy and reduction of adverse drug event risk. Accurate information on PGx allele frequencies improves the implementation of PGx. Nonetheless, curating such information from published allele data is time and resource intensive. The limited number of allelic variants in most studies leads to an underestimation of certain alleles. We applied the Pharmacogenomics Clinical Annotation Tool (PharmCAT) on an integrated 200K UK Biobank genetic dataset (N = 200,044). Based on PharmCAT results, we estimated PGx frequencies (alleles, diplotypes, phenotypes, and activity scores) for 17 pharmacogenes in five biogeographic groups: European, Central/South Asian, East Asian, Afro-Caribbean, and Sub-Saharan African. PGx frequencies were distinct for each biogeographic group. Even biogeographic groups with similar proportions of phenotypes were driven by different sets of dominant PGx alleles. PharmCAT also identified "no-function" alleles that were rare or seldom tested in certain groups by previous studies, e.g., SLCO1B1∗31 in the Afro-Caribbean (3.0%) and Sub-Saharan African (3.9%) groups. Estimated PGx frequencies are disseminated via the PharmGKB (The Pharmacogenomics Knowledgebase: www.pharmgkb.org). We demonstrate that genetic biobanks such as the UK Biobank are a robust resource for estimating PGx frequencies. Improving our understanding of PGx allele and phenotype frequencies provides guidance for future PGx studies and clinical genetic test panel design, and better serves individuals from wider biogeographic backgrounds.
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Affiliation(s)
- Binglan Li
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Katrin Sangkuhl
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Ryan Whaley
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Mark Woon
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Karl Keat
- Genomics and Computational Biology PhD Program, University of Pennsylvania, Philadelphia, PA 19104, USA
| | | | - Marylyn D Ritchie
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Teri E Klein
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA; Department of Genetics (by courtesy), Stanford University, Stanford, CA 94305, USA; Department of Medicine (BMIR), Stanford University, Stanford, CA 94305, USA.
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23
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Biswas M, Sukasem C. Pharmacogenomics of chloroquine and hydroxychloroquine: current evidence and future implications. Pharmacogenomics 2023; 24:831-840. [PMID: 37846548 DOI: 10.2217/pgs-2023-0124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2023] Open
Abstract
As substrates of CYP2C8, CYP3A4/5 and CYP2D6, chloroquine's (CQ) and hydroxychloroquine's (HCQ) efficacy and safety may be affected by variants in the genes encoding these enzymes. This paper aims to assimilate the current evidence on the pharmacogenomics of CQ/HCQ and to identify risk phenotypes affecting the safety or efficacy of these drugs. It has been found that some CYP3A5, CYP2D6 and CYP2C8 genetic variants may affect the safety or effectiveness of CQ/HCQ. The phenotypes predictively representing ultra-rapid and poor metabolizers have been considered high-risk phenotypes. After considering these high-risk phenotypes in different ethnic groups, it is predicted that a considerable proportion of patients taking CQ/HCQ may be at risk of either therapeutic failure or severe toxicities.
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Affiliation(s)
- Mohitosh Biswas
- Department of Pharmacy, University of Rajshahi, Rajshahi, 6205, Bangladesh
- Division of Pharmacogenomics & Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, 10400, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, Bangkok, 10400, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics & Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, 10400, Thailand
- Laboratory for Pharmacogenomics, Ramathibodi Hospital, Somdech Phra Debaratana Medical Center SDMC, Bangkok, 10400, Thailand
- Pharmacogenomics & Precision Medicine Clinic, Bumrungrad Genomic Medicine Institute (BGMI), Bumrungrad International Hospital, 10110, Bangkok, Thailand
- Faculty of Pharmaceutical Sciences, Burapha University, Saensuk, Mueang, Chonburi, 20131, Thailand
- MRC Centre for Drug Safety Science, Department of Pharmacology & Therapeutics, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Liverpool, L69 3GL, UK
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24
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Ramsey LB, Prows CA, Tang Girdwood S, Van Driest S. Current Practices in Pharmacogenomics. Pediatr Clin North Am 2023; 70:995-1011. [PMID: 37704356 PMCID: PMC10865383 DOI: 10.1016/j.pcl.2023.05.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
Pharmacogenomics, where genomic information is used to tailor medication management, is a strategy to maximize drug efficacy and minimize toxicity. Although pediatric evidence is less robust than for adults, medications influenced by pharmacogenomics are prescribed to children and adolescents. Evidence-based guidelines and drug label annotations are available from the Clinical Pharmacogenetics Implementation Consortium (CPIC) and the Pharmacogenomics Knowledgebase (PharmGKB). Some pediatric health care facilities use pharmacogenomics to provide dosing recommendations to pediatricians. Herein, we use a case-based approach to illustrate the use of pharmacogenomic data in pediatric clinical care and provide resources for finding and using pharmacogenomic guidelines.
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Affiliation(s)
- Laura B Ramsey
- Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, College of Medicine, University of Cincinnati, 3333 Burnet Avenue, MLC 6018, Cincinnati, OH 45229, USA; Division of Research in Patient Services, Cincinnati Children's Hospital Medical Center, College of Medicine, University of Cincinnati, 3333 Burnet Avenue, MLC 6018, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, 3333 Burnet Avenue, MLC 9016, Cincinnati, OH 45529, USA.
| | - Cynthia A Prows
- Division of Human Genetics, Department of Pediatrics and Center for Professional Excellence, Patient Services, Cincinnati Children's Hospital Medical Center, College of Medicine, University of Cincinnati, 3333 Burnet Avenue, MLC 6018, Cincinnati, OH 45229, USA
| | - Sonya Tang Girdwood
- Department of Pediatrics, University of Cincinnati College of Medicine, 3333 Burnet Avenue, MLC 9016, Cincinnati, OH 45529, USA; Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 9016, Cincinnati, OH 45529, USA; Division of Clinical Pharmacology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, MLC 9016, Cincinnati, OH 45529, USA
| | - Sara Van Driest
- Department of Pediatrics, Vanderbilt University Medical Center, 2200 Children's Way, 8232 DOT, Nashville, TN 37205, USA
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Scott SA. The Genetic Testing Reference Materials Coordination Program: Over 10 Years of Support for Pharmacogenomic Testing. J Mol Diagn 2023; 25:630-633. [PMID: 37481236 PMCID: PMC10488323 DOI: 10.1016/j.jmoldx.2023.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 07/06/2023] [Accepted: 07/11/2023] [Indexed: 07/24/2023] Open
Affiliation(s)
- Stuart A Scott
- Department of Pathology, Stanford University, Stanford, California; Clinical Genomics Laboratory, Stanford Medicine, Palo Alto, California.
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May GB, de Souza BR, Gueuvoghlanian-Silva BY, Dos Reis EC, Mostardeiro SR, Boabaid May PP, Mateo EC, Vietta GG, Hoss GW. Distribution of pharmacogene allele and phenotype frequencies in Brazilian psychiatric patients. Pharmacogenomics 2023; 24:747-760. [PMID: 37846556 DOI: 10.2217/pgs-2023-0075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2023] Open
Abstract
Purpose: This work was designed to identify the pharmacogenetic profile of Brazilian psychiatric patients receiving psychoactive drug treatment according to ethnicity. Methods: Based on the GnTech® database, this cross-sectional study analyzed data from self-reported sociodemographic and genetic results from the next-generation sequencing panel composed of 26 pharmacogenes from 359 psychotropic drug users. Results: Variant frequencies of multiple pharmacogenes presented differences between ethnicities (CYP3A5, CYP2D6, CYP1A2, CYP2B6, CYP3A4, UGT1A4, UGT2B15, ABCB1 rs1045642, ADRA2A rs1800544, COMT rs4680, GRIK4 rs1954787, GSK3B rs334558, GSK3B rs6438552, HTR1A rs6295, HTR2A rs7997012, HTR2C rs1414334, MTHFR rs1801131, OPRM1 rs1799971 and 5-HTTLPR), endorsing the necessity of individual-level analyses in drug treatment. Conclusion: A discussion of pharmacogenomic test implementation in psychiatric clinical practice is needed to improve treatment choices, especially in Brazil, a multiethnic country.
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Affiliation(s)
| | | | | | | | - Sofia Rech Mostardeiro
- Universidade do Sul de Santa Catarina (UNISUL)-Campus Pedra Branca, Palhoça, SC, 88137-270, Brazil
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Norris M, Dalton R, Alam B, Eddy E, Nguyen KA, Cavallari LH, Sumfest J, Wiisanen K, Cicali EJ. Lessons from clinical implementation of a preemptive pharmacogenetic panel as part of a testing pilot program with an employer-sponsored medical plan. Front Genet 2023; 14:1249003. [PMID: 37680199 PMCID: PMC10482099 DOI: 10.3389/fgene.2023.1249003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 08/07/2023] [Indexed: 09/09/2023] Open
Abstract
Introduction: This manuscript reports on a pilot program focused on implementing pharmacogenetic testing within the framework of an employer-sponsored medical plan at University of Florida (UF) Health. The aim was to understand the challenges associated with program implementation and to gather insights into patient attitudes towards PGx testing. Methods: The pilot program adopted a partially preemptive approach, targeting patients on current prescriptions for medications with relevant gene-drug associations. Patients were contacted via phone or through the MyChart system and offered pharmacogenetic testing with no additional direct costs. Results: Of 244 eligible patients, 110 agreed to participate. However, only 61 returned the mailed DNA collection kits. Among these, 89% had at least one potentially actionable genotype-based phenotype. Post-test follow-up revealed that while the majority viewed the process positively, 71% preferred a consultation with a pharmacogenetic specialist for better understanding of their results. Barriers to implementation ranged from fatigue with the healthcare system to a lack of understanding of the pharmacogenetic testing and concerns about privacy and potential misuse of genetic data. Conclusion: The findings underscore the need for clearer patient education on pharmacogenetic results and suggest the importance of the role of pharmacogenetic-trained pharmacists in delivering this education. They also highlight issues with relying on incomplete or inaccurate medication lists in patients' electronic health record. The implementation revealed less obvious challenges, the understanding of which could be beneficial for the success of future preemptive pharmacogenetic implementation programs. The insights from the pilot program served to bridge the information gap between patients, providers, and pharmacogenetic -specialists, with the ultimate goal of improving patient care.
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Affiliation(s)
- Madeline Norris
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
| | - Rachel Dalton
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
| | - Benish Alam
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
| | - Elizabeth Eddy
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
| | - Khoa A. Nguyen
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
| | - Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
| | - Jill Sumfest
- GatorCare Health Management Corporation, University of Florida Health, Gainesville, FL, United States
| | - Kristin Wiisanen
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
| | - Emily J. Cicali
- Department of Pharmacotherapy and Translational Research, University of Florida College of Pharmacy, Gainesville, FL, United States
- Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, FL, United States
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28
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Zeuli JD, Rivera CG, Wright JA, Kasten MJ, Mahmood M, Ragan AK, Rizza SA, Temesgen Z, Vergidis P, Wilson JW, Cummins NW. Pharmacogenomic panel testing provides insight and enhances medication management in people with HIV. AIDS 2023; 37:1525-1533. [PMID: 37199600 DOI: 10.1097/qad.0000000000003598] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/19/2023]
Abstract
OBJECTIVE Our study aimed to assess the impact of pharmacogenomic panel testing in people with HIV (PWH). DESIGN Prospective, observational intervention assessment. METHODS One hundred PWH were provided a comprehensive pharmacogenomic panel during routine care visits within the HIV specialty clinic of a large academic medical center. The panel determined the presence of specific genetic variants that could predict response or toxicity to commonly prescribed antiretroviral therapy (ART) and non-ART medications. An HIV specialty pharmacist reviewed the results with participants and the care team. The pharmacist (1) recommended clinically actionable interventions based on the participants' current drug therapy, (2) assessed for genetic explanations for prior medication failures, adverse effects, or intolerances, and (3) advised on potential future clinically actionable care interventions based on individual genetic phenotypes. RESULTS Ninety-six participants (median age 53 years, 74% white, 84% men, 89% viral load <50 copies/ml) completed panel testing, yielding 682 clinically relevant pharmacogenomic results (133 major, 549 mild-moderate). Ninety participants (89 on ART) completed follow-up visits with 65 (72%) receiving clinical recommendations based on current medication profiles. Of the 105 clinical recommendations, 70% advised additional monitoring for efficacy or toxicity, and 10% advised alteration of drug therapy. Panel results offered explanation for prior ART inefficacy in one participant and ART intolerance in 29%. Genetic explanation for non-ART toxicity was seen in 21% of participants, with genetic contributors to inefficacy of non-ART therapy identified in 39% of participants. CONCLUSION Preliminary data in a small cohort of PWH demonstrates benefit of routine pharmacogenomic panel testing.
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Affiliation(s)
- John D Zeuli
- Department of Pharmacy
- Section of Infectious Diseases
| | | | - Jessica A Wright
- Department of Pharmacy
- Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, USA
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29
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Rutherford DV, Medley S, Henderson NC, Gersch CL, Vandenberg TA, Albain KS, Dakhil SR, Tirumali NR, Gralow JR, Hortobagyi GN, Pusztai L, Mehta RS, Hayes DF, Kidwell KM, Henry NL, Barlow WE, Rae JM, Hertz DL. Effects of CYP3A4 and CYP2C9 genotype on systemic anastrozole and fulvestrant concentrations in SWOG S0226. Pharmacogenomics 2023; 24:665-673. [PMID: 37615099 PMCID: PMC10565537 DOI: 10.2217/pgs-2023-0097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 07/31/2023] [Indexed: 08/25/2023] Open
Abstract
Objective & methods: This study tested associations of genotype-predicted activity of CYP3A4, other pharmacogenes, SLC28A7 (rs11648166) and ALPPL2 (rs28845026) with systemic concentrations of the endocrine therapies anastrozole and fulvestrant in SWOG S0226 trial participants. Results: Participants in the anastrozole-only arm with low CYP3A4 activity (i.e. CYP3A4*22 carriers) had higher systemic anastrozole concentrations than patients with high CYP3A4 activity (β-coefficient = 10.03; 95% CI: 1.42, 18.6; p = 0.025). In an exploratory analysis, participants with low CYP2C9 activity had lower anastrozole concentrations and higher fulvestrant concentrations than participants with high CYP2C9 activity. Conclusion: Inherited genetic variation in CYP3A4 and CYP2C9 may affect concentrations of endocrine therapy and may be useful to personalize dosing and improve treatment outcomes.
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Affiliation(s)
- Delaney V Rutherford
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Sarah Medley
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Nicholas C Henderson
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - Christina L Gersch
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Ted A Vandenberg
- Western University/Canadian Cancer Trials Group, London, ON, N5X 3K8, Canada
| | - Kathy S Albain
- Loyola University Chicago Stritch School of Medicine, Maywood, IL 60153, USA
| | | | | | - Julie R Gralow
- American Society of Clinical Oncology, Alexandria, 22314, Virginia
| | | | | | - Rita S Mehta
- University of California Irvine Medical Center, Chao Family Comprehensive Cancer Center, Orange, CA 92868, USA
| | - Daniel F Hayes
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Kelley M Kidwell
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI 48109, USA
| | - N Lynn Henry
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | | | - James M Rae
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Daniel L Hertz
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, MI 48109, USA
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Oni-Orisan A, Tuteja S, Hoffecker G, Smith DM, Castrichini M, Crews KR, Murphy WA, Nguyen NHK, Huang Y, Lteif C, Friede KA, Tantisira K, Aminkeng F, Voora D, Cavallari LH, Whirl-Carrillo M, Duarte JD, Luzum JA. An Introductory Tutorial on Cardiovascular Pharmacogenetics for Healthcare Providers. Clin Pharmacol Ther 2023; 114:275-287. [PMID: 37303270 PMCID: PMC10406163 DOI: 10.1002/cpt.2957] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 05/17/2023] [Indexed: 06/13/2023]
Abstract
Pharmacogenetics can improve clinical outcomes by reducing adverse drug effects and enhancing therapeutic efficacy for commonly used drugs that treat a wide range of cardiovascular diseases. One of the major barriers to the clinical implementation of cardiovascular pharmacogenetics is limited education on this field for current healthcare providers and students. The abundance of pharmacogenetic literature underscores its promise, but it can also be challenging to learn such a wealth of information. Moreover, current clinical recommendations for cardiovascular pharmacogenetics can be confusing because they are outdated, incomplete, or inconsistent. A myriad of misconceptions about the promise and feasibility of cardiovascular pharmacogenetics among healthcare providers also has halted clinical implementation. Therefore, the main goal of this tutorial is to provide introductory education on the use of cardiovascular pharmacogenetics in clinical practice. The target audience is any healthcare provider (or student) with patients that use or have indications for cardiovascular drugs. This tutorial is organized into the following 6 steps: (1) understand basic concepts in pharmacogenetics; (2) gain foundational knowledge of cardiovascular pharmacogenetics; (3) learn the different organizations that release cardiovascular pharmacogenetic guidelines and recommendations; (4) know the current cardiovascular drugs/drug classes to focus on clinically and the supporting evidence; (5) discuss an example patient case of cardiovascular pharmacogenetics; and (6) develop an appreciation for emerging areas in cardiovascular pharmacogenetics. Ultimately, improved education among healthcare providers on cardiovascular pharmacogenetics will lead to a greater understanding for its potential in improving outcomes for a leading cause of morbidity and mortality.
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Affiliation(s)
- Akinyemi Oni-Orisan
- Department of Clinical Pharmacy, University of California San Francisco, San Francisco, California, USA
| | - Sony Tuteja
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Glenda Hoffecker
- Division of Translational Medicine and Human Genetics, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - D. Max Smith
- MedStar Health, Columbia, Maryland, USA
- Department of Oncology, Georgetown University Medical Center, Washington, DC, USA
| | - Matteo Castrichini
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Kristine R. Crews
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis, Tennessee, USA
| | - William A. Murphy
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Nam H. K. Nguyen
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Yimei Huang
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Christelle Lteif
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Kevin A. Friede
- Division of Cardiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA
| | - Kelan Tantisira
- Division of Respiratory Medicine, Department of Pediatrics, University of California San Diego, San Diego, California, USA
| | - Folefac Aminkeng
- Departments of Medicine and Biomedical Informatics (DBMI), Yong Loo Lin School of Medicine, National University of Singapore, Singapore City, Singapore
- Centre for Precision Health (CPH), National University Health System (NUHS), Singapore City, Singapore
| | - Deepak Voora
- Precision Medicine Program, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | | | - Julio D. Duarte
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, University of Florida, Gainesville, Florida, USA
| | - Jasmine A. Luzum
- Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
- Center for Individualized and Genomic Medicine Research, Henry Ford Health System, Detroit, Michigan, USA
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31
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Scodellaro S, Cohn RD, Cohn I. Urgent call for guidance supporting gene-based drug dosing in children and adolescents. Paediatr Child Health 2023; 28:205-245. [PMID: 37287475 PMCID: PMC10243970 DOI: 10.1093/pch/pxad003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 01/12/2023] [Indexed: 06/09/2023] Open
Abstract
In the past decade, there have been tremendous advancements in the field of genomics that have led to significant progress in redefining the concept of precision medicine. Pharmacogenetics (PGx) is one of the most promising areas of precision medicine and is the 'low hanging fruit' of this individualized approach to medication dosing and selection. Although a variety of regulatory health agencies and professional consortia have established PGx clinical practice guidelines, implementation has been slow given numerous barriers faced by health care professionals. Many lack the training needed to interpret PGx and there are no paediatric specific guidelines. As the field of PGx continues to grow, an emphasis on collaborative inter-professional education, coupled with ongoing efforts to increase accessibility to advancing testing technology are necessary to translate this branch of precision medicine from the bench to the bedside.
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Affiliation(s)
- Sierra Scodellaro
- Division of Clinical Pharmacology and Toxicology, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
- Program in Translational Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Ronald D Cohn
- Genetics and Genome Biology Program, The Hospital for Sick Children Research Institute, Toronto, Ontario, Canada
- Department of Pediatrics, University of Toronto and The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
- Division of Clinical and Metabolic and Genetics, Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
| | - Iris Cohn
- Division of Clinical Pharmacology and Toxicology, Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
- Program in Translational Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
- Department of Pediatrics, University of Toronto and The Hospital for Sick Children, Toronto, Ontario, Canada
- Cardiac Genome Clinic, Ted Rogers Centre for Heart Research, The Hospital for Sick Children, Toronto, Ontario, Canada
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Manchia M, Murri MB. The role of pharmacogenomics in precision psychiatry. Pharmacogenomics 2023; 24:523-527. [PMID: 37458685 DOI: 10.2217/pgs-2023-0112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2023] Open
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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Ramsey LB, Prows CA, Chidambaran V, Sadhasivam S, Quinn CT, Teusink-Cross A, Tang Girdwood S, Dawson DB, Vinks AA, Glauser TA. Implementation of CYP2D6-guided opioid therapy at Cincinnati Children's Hospital Medical Center. Am J Health Syst Pharm 2023; 80:852-859. [PMID: 36715063 PMCID: PMC11004919 DOI: 10.1093/ajhp/zxad025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Indexed: 01/31/2023] Open
Abstract
PURPOSE We describe the implementation of CYP2D6-focused pharmacogenetic testing to guide opioid prescribing in a quaternary care, nonprofit pediatric academic medical center. SUMMARY Children are often prescribed oral opioids after surgeries, for cancer pain, and occasionally for chronic pain. In 2004, Cincinnati Children's Hospital Medical Center implemented pharmacogenetic testing for CYP2D6 metabolism phenotype to inform codeine prescribing. The test and reports were updated to align with changes over time in the testing platform, the interpretation of genotype to phenotype, the electronic health record, and Food and Drug Administration (FDA) guidance. The use of the test increased when a research project required testing and decreased as prescribing of oxycodone increased due to FDA warnings about codeine. Education about the opioid-focused pharmacogenetic test was provided to prescribers (eg, the pain and sickle cell teams) as well as patients and families. Education and electronic health record capability increased provider compliance with genotype-guided postsurgical prescribing of oxycodone, although there was a perceived lack of utility for oxycodone prescribing. CONCLUSION The implementation of pharmacogenetic testing to inform opioid prescribing for children has evolved with accumulating evidence and guidelines, requiring changes in reporting of results and recommendations.
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Affiliation(s)
- Laura B Ramsey
- Department of Pediatrics, Division of Clinical Pharmacology and Division of Research in Patient Services, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Cynthia A Prows
- Division of Human Genetics and Division of Patient Services, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Vidya Chidambaran
- Department of Anesthesiology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Senthilkumar Sadhasivam
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Charles T Quinn
- Department of Pediatrics and Division of Hematology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Ashley Teusink-Cross
- Division of Pharmacy, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Sonya Tang Girdwood
- Department of Pediatrics, Division of Clinical Pharmacology; and Division of Hospital Medicine, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - D Brian Dawson
- Department of Pediatrics and Division of Human Genetics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Alexander A Vinks
- Department of Pediatrics, Division of Clinical Pharmacology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- College of Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Tracy A Glauser
- Department of Pediatrics, Division of Neurology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH
- College of Medicine, University of Cincinnati, Cincinnati, OH, USA
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Schlosser P, Scherer N, Grundner-Culemann F, Monteiro-Martins S, Haug S, Steinbrenner I, Uluvar B, Wuttke M, Cheng Y, Ekici AB, Gyimesi G, Karoly ED, Kotsis F, Mielke J, Gomez MF, Yu B, Grams ME, Coresh J, Boerwinkle E, Köttgen M, Kronenberg F, Meiselbach H, Mohney RP, Akilesh S, Schmidts M, Hediger MA, Schultheiss UT, Eckardt KU, Oefner PJ, Sekula P, Li Y, Köttgen A. Genetic studies of paired metabolomes reveal enzymatic and transport processes at the interface of plasma and urine. Nat Genet 2023:10.1038/s41588-023-01409-8. [PMID: 37277652 DOI: 10.1038/s41588-023-01409-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Accepted: 04/26/2023] [Indexed: 06/07/2023]
Abstract
The kidneys operate at the interface of plasma and urine by clearing molecular waste products while retaining valuable solutes. Genetic studies of paired plasma and urine metabolomes may identify underlying processes. We conducted genome-wide studies of 1,916 plasma and urine metabolites and detected 1,299 significant associations. Associations with 40% of implicated metabolites would have been missed by studying plasma alone. We detected urine-specific findings that provide information about metabolite reabsorption in the kidney, such as aquaporin (AQP)-7-mediated glycerol transport, and different metabolomic footprints of kidney-expressed proteins in plasma and urine that are consistent with their localization and function, including the transporters NaDC3 (SLC13A3) and ASBT (SLC10A2). Shared genetic determinants of 7,073 metabolite-disease combinations represent a resource to better understand metabolic diseases and revealed connections of dipeptidase 1 with circulating digestive enzymes and with hypertension. Extending genetic studies of the metabolome beyond plasma yields unique insights into processes at the interface of body compartments.
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Affiliation(s)
- Pascal Schlosser
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Nora Scherer
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Spemann Graduate School of Biology and Medicine, University of Freiburg, Freiburg, Germany
| | - Franziska Grundner-Culemann
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Sara Monteiro-Martins
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Stefan Haug
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Inga Steinbrenner
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Burulça Uluvar
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Matthias Wuttke
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Yurong Cheng
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Arif B Ekici
- Institute of Human Genetics, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Gergely Gyimesi
- Membrane Transport Discovery Lab, Department of Nephrology and Hypertension and Department of Biomedical Research, University of Bern, Bern, Switzerland
| | | | - Fruzsina Kotsis
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Johanna Mielke
- Research and Early Development, Pharmaceuticals Division, Bayer AG, Wuppertal, Germany
| | - Maria F Gomez
- Department of Clinical Sciences in Malmö, Lund University Diabetes Centre, Lund University, Lund, Sweden
| | - Bing Yu
- Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Morgan E Grams
- New York University Grossman School of Medicine, New York, NY, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Eric Boerwinkle
- Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Michael Köttgen
- Department of Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
- Centre for Integrative Biological Signalling Studies (CIBSS), Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Heike Meiselbach
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | | | - Shreeram Akilesh
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Miriam Schmidts
- Centre for Integrative Biological Signalling Studies (CIBSS), Albert-Ludwigs-University Freiburg, Freiburg, Germany
- Freiburg University Faculty of Medicine, Center for Pediatrics and Adolescent Medicine, University Hospital Freiburg, Freiburg, Germany
| | - Matthias A Hediger
- Membrane Transport Discovery Lab, Department of Nephrology and Hypertension and Department of Biomedical Research, University of Bern, Bern, Switzerland
| | - Ulla T Schultheiss
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Peter J Oefner
- Institute of Functional Genomics, University of Regensburg, Regensburg, Germany
| | - Peggy Sekula
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Yong Li
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
- Centre for Integrative Biological Signalling Studies (CIBSS), Albert-Ludwigs-University Freiburg, Freiburg, Germany.
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Morris SA, Nguyen DG, Patel JN. Pharmacogenomics in allogeneic hematopoietic stem cell transplantation: Implications on supportive therapies and conditioning regimens. Best Pract Res Clin Haematol 2023; 36:101470. [PMID: 37353294 DOI: 10.1016/j.beha.2023.101470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 04/17/2023] [Accepted: 04/17/2023] [Indexed: 06/25/2023]
Abstract
Allogeneic hematopoietic stem cell transplantation mortality has declined over the years, though prevention and management of treatment-related toxicities and post-transplant complications remains challenging. Applications of pharmacogenomic testing can potentially mitigate adverse drug outcomes due to interindividual variability in drug metabolism and response. This review summarizes clinical pharmacogenomic applications relevant to hematopoietic stem cell transplantation, including antifungals, immunosuppressants, and supportive care management, as well as emerging pharmacogenomic evidence with conditioning regimens.
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Affiliation(s)
- Sarah A Morris
- Department of Cancer Pharmacology & Pharmacogenomics Levine Cancer Institute, Atrium Health, 1021 Morehead Medical Drive, Charlotte, NC, 28204, USA.
| | - D Grace Nguyen
- Department of Cancer Pharmacology & Pharmacogenomics Levine Cancer Institute, Atrium Health, 1021 Morehead Medical Drive, Charlotte, NC, 28204, USA.
| | - Jai N Patel
- Department of Cancer Pharmacology & Pharmacogenomics Levine Cancer Institute, Atrium Health, 1021 Morehead Medical Drive, Charlotte, NC, 28204, USA.
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Abstract
10 years ago, a detailed analysis showed that only 33% of genome-wide association study (GWAS) results included the X chromosome. Multiple recommendations were made to combat such exclusion. Here, we re-surveyed the research landscape to determine whether these earlier recommendations had been translated. Unfortunately, among the genome-wide summary statistics reported in 2021 in the NHGRI-EBI GWAS Catalog, only 25% provided results for the X chromosome and 3% for the Y chromosome, suggesting that the exclusion phenomenon not only persists but has also expanded into an exclusionary problem. Normalizing by physical length of the chromosome, the average number of studies published through November 2022 with genome-wide-significant findings on the X chromosome is ∼1 study/Mb. By contrast, it ranges from ∼6 to ∼16 studies/Mb for chromosomes 4 and 19, respectively. Compared with the autosomal growth rate of ∼0.086 studies/Mb/year over the last decade, studies of the X chromosome grew at less than one-seventh that rate, only ∼0.012 studies/Mb/year. Among the studies that reported significant associations on the X chromosome, we noted extreme heterogeneities in data analysis and reporting of results, suggesting the need for clear guidelines. Unsurprisingly, among the 430 scores sampled from the PolyGenic Score Catalog, 0% contained weights for sex chromosomal SNPs. To overcome the dearth of sex chromosome analyses, we provide five sets of recommendations and future directions. Finally, until the sex chromosomes are included in a whole-genome study, instead of GWASs, we propose such studies would more properly be referred to as "AWASs," meaning "autosome-wide scans."
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Affiliation(s)
- Lei Sun
- Department of Statistical Sciences, Faculty of Arts and Science, University of Toronto, Toronto, ON, Canada; Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
| | - Zhong Wang
- Department of Statistics and Data Science, Faculty of Science, National University of Singapore, Singapore
| | - Tianyuan Lu
- Department of Statistical Sciences, Faculty of Arts and Science, University of Toronto, Toronto, ON, Canada; Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, QC, Canada
| | - Teri A Manolio
- Division of Genomic Medicine, National Human Genome Research Institute, NIH, Bethesda, MD, USA
| | - Andrew D Paterson
- Division of Biostatistics, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada; Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.
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Katsukunya JN, Soko ND, Naidoo J, Rayner B, Blom D, Sinxadi P, Chimusa ER, Dandara M, Dzobo K, Jones E, Dandara C. Pharmacogenomics of Hypertension in Africa: Paving the Way for a Pharmacogenetic-Based Approach for the Treatment of Hypertension in Africans. Int J Hypertens 2023; 2023:9919677. [PMID: 38633331 PMCID: PMC11022520 DOI: 10.1155/2023/9919677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 04/21/2023] [Accepted: 05/22/2023] [Indexed: 04/19/2024] Open
Abstract
In Africa, the burden of hypertension has been rising at an alarming rate for the last two decades and is a major cause for cardiovascular disease (CVD) mortality and morbidity. Hypertension is characterised by elevated blood pressure (BP) ≥ 140/90 mmHg. Current hypertension guidelines recommend the use of antihypertensives belonging to the following classes: calcium channel blockers (CCB), angiotensin converting inhibitors (ACEI), angiotensin receptor blockers (ARB), diuretics, β-blockers, and mineralocorticoid receptor antagonists (MRAs), to manage hypertension. Still, a considerable number of hypertensives in Africa have their BP uncontrolled due to poor drug response and remain at the risk of CVD events. Genetic factors are a major contributing factor, accounting for 20% to 80% of individual variability in therapy and poor response. Poor response to antihypertensive drug therapy is characterised by elevated BPs and occurrence of adverse drug reactions (ADRs). As a result, there have been numerous studies which have examined the role of genetic variation and its influence on antihypertensive drug response. These studies are predominantly carried out in non-African populations, including Europeans and Asians, with few or no Africans participating. It is important to note that the greatest genetic diversity is observed in African populations as well as the highest prevalence of hypertension. As a result, this warrants a need to focus on how genetic variation affects response to therapeutic interventions used to manage hypertension in African populations. In this paper, we discuss the implications of genetic diversity in CYP11B2, GRK4, NEDD4L, NPPA, SCNN1B, UMOD, CYP411, WNK, CYP3A4/5, ACE, ADBR1/2, GNB3, NOS3, B2, BEST3, SLC25A31, LRRC15 genes, and chromosome 12q loci on hypertension susceptibility and response to antihypertensive therapy. We show that African populations are poorly explored genetically, and for the few characterised genes, they exhibit qualitative and quantitative differences in the profile of pharmacogene variants when compared to other ethnic groups. We conclude by proposing prioritization of pharmacogenetics research in Africa and possible adoption of pharmacogenetic-guided therapies for hypertension in African patients. Finally, we outline the implications, challenges, and opportunities these studies present for populations of non-European descent.
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Affiliation(s)
- Jonathan N. Katsukunya
- Division of Human Genetics, Department of Pathology and Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- UCT/South African Medical Research Council (SAMRC) Platform for Pharmacogenomics Research and Translation Unit, University of Cape Town, Cape Town, South Africa
| | - Nyarai D. Soko
- Division of Human Genetics, Department of Pathology and Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- UCT/South African Medical Research Council (SAMRC) Platform for Pharmacogenomics Research and Translation Unit, University of Cape Town, Cape Town, South Africa
| | - Jashira Naidoo
- Department of Medicine, Division of Nephrology and Hypertension, Groote Schuur Hospital and Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Brian Rayner
- UCT/South African Medical Research Council (SAMRC) Platform for Pharmacogenomics Research and Translation Unit, University of Cape Town, Cape Town, South Africa
- Department of Medicine, Division of Nephrology and Hypertension, Groote Schuur Hospital and Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Dirk Blom
- UCT/South African Medical Research Council (SAMRC) Platform for Pharmacogenomics Research and Translation Unit, University of Cape Town, Cape Town, South Africa
- Department of Medicine, Division of Lipidology and Cape Heart Institute, Groote Schuur Hospital and Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Phumla Sinxadi
- UCT/South African Medical Research Council (SAMRC) Platform for Pharmacogenomics Research and Translation Unit, University of Cape Town, Cape Town, South Africa
- Department of Medicine, Division of Clinical Pharmacology, Groote Schuur Hospital and Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Emile R. Chimusa
- Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle, Tyne and Wear NE1 8ST, UK
| | - Michelle Dandara
- UCT/South African Medical Research Council (SAMRC) Platform for Pharmacogenomics Research and Translation Unit, University of Cape Town, Cape Town, South Africa
| | - Kevin Dzobo
- Medical Research Council-SA Wound Healing Unit, Hair and Skin Research Laboratory, Division of Dermatology, Department of Medicine, Groote Schuur Hospital, Faculty of Health Sciences University of Cape Town, Anzio Road Observatory, Cape Town 7925, South Africa
| | - Erika Jones
- UCT/South African Medical Research Council (SAMRC) Platform for Pharmacogenomics Research and Translation Unit, University of Cape Town, Cape Town, South Africa
- Department of Medicine, Division of Nephrology and Hypertension, Groote Schuur Hospital and Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
| | - Collet Dandara
- Division of Human Genetics, Department of Pathology and Institute of Infectious Disease and Molecular Medicine (IDM), Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa
- UCT/South African Medical Research Council (SAMRC) Platform for Pharmacogenomics Research and Translation Unit, University of Cape Town, Cape Town, South Africa
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Salas-Hernández A, Galleguillos M, Carrasco M, López-Cortés A, Redal MA, Fonseca-Mendoza D, Esperón P, González-Martínez F, Lares-Asseff I, Lazarowski A, Loera-Castañeda V, Remírez D, Martínez MF, Vargas R, Rios-Santos F, Macho A, Cayún JP, Perez GR, Gutierrez C, Cerpa LC, Leiva T, Calfunao S, Xajil L, Sandoval C, Suárez M, Gonzalez A, Echeverría-Garcés G, Sullón-Dextre L, Cordero-García E, Morales AR, Avendaño A, Sánchez E, Bastone LC, Lara C, Zuluaga-Arias P, Soler AM, Da Luz J, Burgueño-Rodríguez G, Vital M, Reyes-Reyes E, Huaccha A, Ariza YV, Tzul N, Rendón AL, Serrano R, Acosta L, Motta-Pardo A, Beltrán-Angarita L, Brand E, Jiménez MA, Hidalgo-Lozada GM, Romero-Prado MMJ, Escobar-Castro K, Umaña-Rivas M, Vivas JD, Lagos P, Martínez YB, Quesada S, Calfio C, Arias ML, Lavanderos MA, Cáceres DD, Salazar-Granara A, Varela NM, Quiñones LA. An updated examination of the perception of barriers for pharmacogenomics implementation and the usefulness of drug/gene pairs in Latin America and the Caribbean. Front Pharmacol 2023; 14:1175737. [PMID: 37251329 PMCID: PMC10213898 DOI: 10.3389/fphar.2023.1175737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/21/2023] [Indexed: 05/31/2023] Open
Abstract
Pharmacogenomics (PGx) is considered an emergent field in developing countries. Research on PGx in the Latin American and the Caribbean (LAC) region remains scarce, with limited information in some populations. Thus, extrapolations are complicated, especially in mixed populations. In this paper, we reviewed and analyzed pharmacogenomic knowledge among the LAC scientific and clinical community and examined barriers to clinical application. We performed a search for publications and clinical trials in the field worldwide and evaluated the contribution of LAC. Next, we conducted a regional structured survey that evaluated a list of 14 potential barriers to the clinical implementation of biomarkers based on their importance. In addition, a paired list of 54 genes/drugs was analyzed to determine an association between biomarkers and response to genomic medicine. This survey was compared to a previous survey performed in 2014 to assess progress in the region. The search results indicated that Latin American and Caribbean countries have contributed 3.44% of the total publications and 2.45% of the PGx-related clinical trials worldwide thus far. A total of 106 professionals from 17 countries answered the survey. Six major groups of barriers were identified. Despite the region's continuous efforts in the last decade, the primary barrier to PGx implementation in LAC remains the same, the "need for guidelines, processes, and protocols for the clinical application of pharmacogenetics/pharmacogenomics". Cost-effectiveness issues are considered critical factors in the region. Items related to the reluctance of clinicians are currently less relevant. Based on the survey results, the highest ranked (96%-99%) gene/drug pairs perceived as important were CYP2D6/tamoxifen, CYP3A5/tacrolimus, CYP2D6/opioids, DPYD/fluoropyrimidines, TMPT/thiopurines, CYP2D6/tricyclic antidepressants, CYP2C19/tricyclic antidepressants, NUDT15/thiopurines, CYP2B6/efavirenz, and CYP2C19/clopidogrel. In conclusion, although the global contribution of LAC countries remains low in the PGx field, a relevant improvement has been observed in the region. The perception of the usefulness of PGx tests in biomedical community has drastically changed, raising awareness among physicians, which suggests a promising future in the clinical applications of PGx in LAC.
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Affiliation(s)
- Aimeé Salas-Hernández
- Department of Pharmacology, Toxicology and Pharmaco-Dependence, Faculty of Pharmacy, University of Costa Rica, San Jose, Costa Rica
| | - Macarena Galleguillos
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Matías Carrasco
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Andrés López-Cortés
- Cancer Research Group (CRG), Faculty of Medicine, Universidad de Las Américas, Quito, Ecuador
| | - María Ana Redal
- Molecular Diagnostic Laboratory, Genetics Division, Faculty of Medicine, Hospital de Clínicas José de San Martín, University of Buenos Aires, Buenos Aires, Argentina
| | - Dora Fonseca-Mendoza
- Universidad del Rosario, School of Medicine and Health Sciences, Center for Research in Genetics and Genomics (CIGGUR), Institute of Translational Medicine (IMT), Bogotá, Colombia
| | - Patricia Esperón
- Molecular Genetic Unit, School of Chemistry, Universidad de la República, General Flores, CP 1800 2124, Montevideo, Uruguay
| | - Farith González-Martínez
- Toxicology and Public Health Research Laboratory, Department of Research, Faculty of Dentistry, University of Cartagena, Cartagena, Colombia
| | - Ismael Lares-Asseff
- Academy of Genomics and Laboratory of Pharmacogenomics and Molecular Biomedicine, Instituto Politécnico Nacional, CIIDIR-Unidad Durango, Durango, Mexico
| | - Alberto Lazarowski
- Instituto de Fisiopatología y Bioquímica Clínica (INFIBIOC), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires- Argentina, Buenos Aires, Argentina
| | - Verónica Loera-Castañeda
- Academy of Genomics and Laboratory of Pharmacogenomics and Molecular Biomedicine, Instituto Politécnico Nacional, CIIDIR-Unidad Durango, Durango, Mexico
| | | | - Matías F. Martínez
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
- Department of Pharmaceutical Sciences and Technology, Faculty of Chemical and Pharmaceutical Sciences, University of Chile, Santiago, Chile
| | - Rodrigo Vargas
- Department of Molecular Biology, Galileo University, Guatemala City, Guatemala
| | - Fabricio Rios-Santos
- Department of Health. Faculty of Medicine, Federal University of Mato Grosso (UFMT), Cuibá, Brazil
| | - Antonio Macho
- Morphology and Applied Immunology Research Center (NuPMIA), University of Brasilia (UnB), Brasília, Brazil
| | - Juan P. Cayún
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Germán R. Perez
- Department of Microbiology, Faculty of Biochemical and Pharmaceutical Sciences. National University of Rosario, Rosario, Argentina
| | - Carolina Gutierrez
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Leslie C. Cerpa
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Tamara Leiva
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Susan Calfunao
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
- Laboratory Pathological Anatomy, Hospital Luis Calvo Mackenna, Santiago, Chile
| | - Lesly Xajil
- Department of Research in Pharmacogenomics, Faculty of Chemical Sciences and Pharmacy, University of San Carlos de Guatemala, Guatemala, Guatemala
| | - Christopher Sandoval
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
- Clinical Laboratory Blood Biochemistry and Immunoassay Section, Hospital Clínico Félix Bulnes Cerda, Santiago, Chile
| | - Marcelo Suárez
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
- Pharmacy Service, Hospital UC-Christus, Santiago, Chile
| | | | | | | | - Eugenia Cordero-García
- Department of Pharmacology, Toxicology and Pharmaco-Dependence, Faculty of Pharmacy, University of Costa Rica, San Jose, Costa Rica
| | - Alexis R. Morales
- Department of Toxicology and Pharmacology, Faculty of Pharmacy and Bioanalisis, University of Los Andes, Merida, Venezuela
| | - Andrea Avendaño
- Department of Pediatrics, Medical Genetics Unity, Faculty of Medicine, University of Los Andes, Mérida, Venezuela
| | | | - Laura C. Bastone
- Laboratorio de Medicina Genómica, Gammalab, Grupo Gamma, Rosario, Argentina
| | - Cesar Lara
- Betesda La Alternativa Natural, San José, Costa Rica
| | | | - Ana María Soler
- Laboratorio de Genética Molecular Humana, Departamento de Ciencias Biológicas, Universidad de La República, Montevideo, Uruguay
| | - Julio Da Luz
- Laboratorio de Genética Molecular Humana, Departamento de Ciencias Biológicas, Universidad de La República, Montevideo, Uruguay
| | - Gabriela Burgueño-Rodríguez
- Laboratorio de Genética Molecular Humana, Departamento de Ciencias Biológicas, Universidad de La República, Montevideo, Uruguay
| | - Marcelo Vital
- Molecular Genetic Unit, School of Chemistry, Universidad de la República, General Flores 2124, Montevideo, Uruguay
| | - Elizabeth Reyes-Reyes
- Clinical Experimental Pharmacology Section, Teaching and Research Department, Institute of Oncology and Radiobiology, Havana, Cuba
| | | | - Yeimy V. Ariza
- Pharmaceutical Chemistry Program, El Bosque University, Bogotá, Colombia
| | - Naomi Tzul
- Drug Inspectorate Unit, Ministry of Health and Wellness, Belmopan, Belize
| | - Ana L. Rendón
- Department of Pharmaceutical Technology, National Autonomous University of Honduras, Tegucigalpa, Honduras
| | | | - Larissa Acosta
- Faculty of Biology, Chemistry and Pharmacy, Galileo University, Guatemala, Guatemala
| | - Angelo Motta-Pardo
- GENOBIDC, Faculty of Pharmacy and Biochemistry, Universidad Nacional Mayor de San Marcos (UNMSM), CIGBM, Faculty of Medicine, Universidad de San Martin de Porres (USMP), Lima, Peru
| | - Leonardo Beltrán-Angarita
- Faculty of Heath Sciences, Central Unit of Valle del Cauca, Tuluá, Colombia
- Chemistry School, Universidad Tecnológica de Pereira, Pereira, Colombia
| | - Erika Brand
- Postgraduate Department, Master’s Degree in Immunology, Universidad Cayetano Heredia, Lima, Perú
| | | | | | - Marina M. J. Romero-Prado
- Department of Physiology, Health Sciences University Center, University of Guadalajara, Guadalajara, Jalisco, Mexico
| | - Karla Escobar-Castro
- Laboratory of Histocompatibility and Immunogenetics, Department of Nephrology and Transplant, Hospital General San Juan de Dios, Guatemala, Guatemala
| | - Mariel Umaña-Rivas
- Department of Tropical Medicine, Faculty of Medicine, University of Brasília, Brasília, Brazil
| | - Juan D. Vivas
- Department of Clinical Pharmacology, Faculty of Medicine, University of La Sabana, Chía, Colombia
| | - Paola Lagos
- Recombinant Biopharmaceutical Laboratory, Department of Pharmacology, Faculty of Biological Sciences, University of Concepción, Concepción, Chile
| | - Yineth Ballén Martínez
- Medical Specialist in Epidemiology Clinical Pharmacology Teacher; Medical Scientific and Pharmacovigilance Advisor in the Pharmaceutical Industry, Bogotá, Colombia
| | - Sharleth Quesada
- Faculty of Pharmacy, University of Costa Rica, San Jose, Costa Rica
| | - Camila Calfio
- International Center for Biomedicine ICC, Santiago, Chile
| | - Maria L. Arias
- Tropical Diseases Research Center and Microbiology Faculty, University of Costa Rica, San José, Costa Rica
| | - María A. Lavanderos
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Dante D. Cáceres
- Environmental Health Programme, School of Public Health, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Alberto Salazar-Granara
- Universidad de San Martín de Porres, Facultad de Medicina Humana, Centro de Investigación de Medicina Tradicional y Farmacología, Lima, Perú
| | - Nelson M. Varela
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
| | - Luis A. Quiñones
- Laboratory of Chemical Carcinogenesis and Pharmacogenetics, Department of Basic-Clinical Oncology (DOBC), Faculty of Medicine, University of Chile, Santiago, Chile
- Department of Pharmaceutical Sciences and Technology, Faculty of Chemical and Pharmaceutical Sciences, University of Chile, Santiago, Chile
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Bertholim-Nasciben L, Scliar MO, Debortoli G, Thiruvahindrapuram B, Scherer SW, Duarte YAO, Zatz M, Suarez-Kurtz G, Parra EJ, Naslavsky MS. Characterization of pharmacogenomic variants in a Brazilian admixed cohort of elderly individuals based on whole-genome sequencing data. Front Pharmacol 2023; 14:1178715. [PMID: 37234706 PMCID: PMC10206227 DOI: 10.3389/fphar.2023.1178715] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 04/10/2023] [Indexed: 05/28/2023] Open
Abstract
Introduction: Research in the field of pharmacogenomics (PGx) aims to identify genetic variants that modulate response to drugs, through alterations in their pharmacokinetics (PK) or pharmacodynamics (PD). The distribution of PGx variants differs considerably among populations, and whole-genome sequencing (WGS) plays a major role as a comprehensive approach to detect both common and rare variants. This study evaluated the frequency of PGx markers in the context of the Brazilian population, using data from a population-based admixed cohort from Sao Paulo, Brazil, which includes variants from WGS of 1,171 unrelated, elderly individuals. Methods: The Stargazer tool was used to call star alleles and structural variants (SVs) from 38 pharmacogenes. Clinically relevant variants were investigated, and the predicted drug response phenotype was analyzed in combination with the medication record to assess individuals potentially at high-risk of gene-drug interaction. Results: In total, 352 unique star alleles or haplotypes were observed, of which 255 and 199 had a frequency < 0.05 and < 0.01, respectively. For star alleles with frequency > 5% (n = 97), decreased, loss-of-function and unknown function accounted for 13.4%, 8.2% and 27.8% of alleles or haplotypes, respectively. Structural variants (SVs) were identified in 35 genes for at least one individual, and occurred with frequencies >5% for CYP2D6, CYP2A6, GSTM1, and UGT2B17. Overall 98.0% of the individuals carried at least one high risk genotype-predicted phenotype in pharmacogenes with PharmGKB level of evidence 1A for drug interaction. The Electronic Health Record (EHR) Priority Result Notation and the cohort medication registry were combined to assess high-risk gene-drug interactions. In general, 42.0% of the cohort used at least one PharmGKB evidence level 1A drug, and 18.9% of individuals who used PharmGKB evidence level 1A drugs had a genotype-predicted phenotype of high-risk gene-drug interaction. Conclusion: This study described the applicability of next-generation sequencing (NGS) techniques for translating PGx variants into clinically relevant phenotypes on a large scale in the Brazilian population and explores the feasibility of systematic adoption of PGx testing in Brazil.
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Affiliation(s)
- Luciana Bertholim-Nasciben
- School of Public Health, University of São Paulo, São Paulo, Brazil
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil
| | - Marilia O. Scliar
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil
| | - Guilherme Debortoli
- Department of Anthropology, University of Toronto at Mississauga, Mississauga, ON, Canada
| | | | - Stephen W. Scherer
- The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Molecular Genetics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Yeda A. O. Duarte
- Medical-Surgical Nursing Department, School of Nursing, University of São Paulo, São Paulo, Brazil
| | - Mayana Zatz
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, Brazil
| | - Guilherme Suarez-Kurtz
- Divisão de Pesquisa Clínica e Desenvolvimento Tecnológico, Instituto Nacional de Câncer, Rio de Janeiro, Brazil
| | - Esteban J. Parra
- Department of Anthropology, University of Toronto at Mississauga, Mississauga, ON, Canada
| | - Michel S. Naslavsky
- Human Genome and Stem Cell Research Center, University of São Paulo, São Paulo, Brazil
- Department of Genetics and Evolutionary Biology, Biosciences Institute, University of São Paulo, São Paulo, Brazil
- Hospital Israelita Albert Einstein, São Paulo, Brazil
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Carmo A, Rocha M, Pereirinha P, Tomé R, Costa E. Antifungals: From Pharmacokinetics to Clinical Practice. Antibiotics (Basel) 2023; 12:antibiotics12050884. [PMID: 37237787 DOI: 10.3390/antibiotics12050884] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 04/30/2023] [Accepted: 05/05/2023] [Indexed: 05/28/2023] Open
Abstract
The use of antifungal drugs started in the 1950s with polyenes nystatin, natamycin and amphotericin B-deoxycholate (AmB). Until the present day, AmB has been considered to be a hallmark in the treatment of invasive systemic fungal infections. Nevertheless, the success and the use of AmB were associated with severe adverse effects which stimulated the development of new antifungal drugs such as azoles, pyrimidine antimetabolite, mitotic inhibitors, allylamines and echinochandins. However, all of these drugs presented one or more limitations associated with adverse reactions, administration route and more recently the development of resistance. To worsen this scenario, there has been an increase in fungal infections, especially in invasive systemic fungal infections that are particularly difficult to diagnose and treat. In 2022, the World Health Organization (WHO) published the first fungal priority pathogens list, alerting people to the increased incidence of invasive systemic fungal infections and to the associated risk of mortality/morbidity. The report also emphasized the need to rationally use existing drugs and develop new drugs. In this review, we performed an overview of the history of antifungals and their classification, mechanism of action, pharmacokinetic/pharmacodynamic (PK/PD) characteristics and clinical applications. In parallel, we also addressed the contribution of fungi biology and genetics to the development of resistance to antifungal drugs. Considering that drug effectiveness also depends on the mammalian host, we provide an overview on the roles of therapeutic drug monitoring and pharmacogenomics as means to improve the outcome, prevent/reduce antifungal toxicity and prevent the emergence of antifungal resistance. Finally, we present the new antifungals and their main characteristics.
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Affiliation(s)
- Anália Carmo
- Advanced Unit for Pharmacokinetics and Personalized Therapeutics, Clinical Pathology Department, Centro Hospitalar e Universitário de Coimbra, 3004-561 Coimbra, Portugal
| | - Marilia Rocha
- Advanced Unit for Pharmacokinetics and Personalized Therapeutics, Pharmacy Department, Centro Hospitalar e Universitário de Coimbra, 3004-561 Coimbra, Portugal
| | - Patricia Pereirinha
- Advanced Unit for Pharmacokinetics and Personalized Therapeutics, Pharmacy Department, Centro Hospitalar e Universitário de Coimbra, 3004-561 Coimbra, Portugal
| | - Rui Tomé
- Clinical Pathology Department, Centro Hospitalar e Universitário de Coimbra, 3004-561 Coimbra, Portugal
| | - Eulália Costa
- Advanced Unit for Pharmacokinetics and Personalized Therapeutics, Clinical Pathology Department, Centro Hospitalar e Universitário de Coimbra, 3004-561 Coimbra, Portugal
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Suarez-Kurtz G, Almeida CW, Chapchap E, Schramm MT, Ikoma-Coltutato MRV, Lins MM, Fonseca TCC, Aguiar TF, Emerenciano M. Pharmacogenetic testing for thiopurine drugs in Brazilian acute lymphoblastic leukemia patients. Clinics (Sao Paulo) 2023; 78:100214. [PMID: 37156205 DOI: 10.1016/j.clinsp.2023.100214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 04/25/2023] [Indexed: 05/10/2023] Open
Affiliation(s)
- Guilherme Suarez-Kurtz
- Divisão de Pesquisa Clínica e Desenvolvimento Tecnológico, Instituto Nacional de Câncer, Rio de Janeiro, RJ, Brazil.
| | - Cristina Wiggers Almeida
- Hospital Federal da Lagoa (HFL), Rio de Janeiro, RJ, Brazil; Hospital Universitário Pedro Ernesto, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil
| | | | - Márcia Trindade Schramm
- Hospital do Câncer I, Instituto Nacional de Câncer, Rio de Janeiro, RJ, Brazil; Prontobaby Hospital da Criança Ltda, Rio de Janeiro, RJ, Brazil
| | | | | | | | - Thais Ferraz Aguiar
- Instituto Estadual de Hematologia Arthur Siqueira Cavalcanti, Rio de Janeiro, RJ, Brazil
| | - Mariana Emerenciano
- Divisão de Pesquisa Básica e Experimental, Instituto Nacional de Câncer Rio de Janeiro, RJ, Brazil
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Li B, Sangkuhl K, Keat K, Whaley RM, Woon M, Verma S, Dudek S, Tuteja S, Verma A, Whirl-Carrillo M, Ritchie MD, Klein TE. How to Run the Pharmacogenomics Clinical Annotation Tool (PharmCAT). Clin Pharmacol Ther 2023; 113:1036-1047. [PMID: 36350094 PMCID: PMC10121724 DOI: 10.1002/cpt.2790] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Accepted: 10/28/2022] [Indexed: 11/11/2022]
Abstract
Pharmacogenomics (PGx) investigates the genetic influence on drug response and is an integral part of precision medicine. While PGx testing is becoming more common in clinical practice and may be reimbursed by Medicare/Medicaid and commercial insurance, interpreting PGx testing results for clinical decision support is still a challenge. The Pharmacogenomics Clinical Annotation Tool (PharmCAT) has been designed to tackle the need for transparent, automatic interpretations of patient genetic data. PharmCAT incorporates a patient's genotypes, annotates PGx information (allele, genotype, and phenotype), and generates a report with PGx guideline recommendations from the Clinical Pharmacogenetics Implementation Consortium (CPIC) and/or the Dutch Pharmacogenetics Working Group (DPWG). PharmCAT has introduced new features in the last 2 years, including a variant call format (VCF) Preprocessor, the inclusion of DPWG guidelines, and functionalities for PGx research. For example, researchers can use the VCF Preprocessor to prepare biobank-scale data for PharmCAT. In addition, PharmCAT enables the assessment of novel partial and combination alleles that are composed of known PGx variants and can call CYP2D6 genotypes based on single and deletions in the input VCF file. This tutorial provides materials and detailed step-by-step instructions for how to use PharmCAT in a versatile way that can be tailored to users' individual needs.
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Affiliation(s)
- Binglan Li
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Katrin Sangkuhl
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Karl Keat
- Genomics and Computational Biology Graduate Program, University of Pennsylvania, Philadelphia, PA, USA
| | - Ryan M. Whaley
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Mark Woon
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
| | - Shefali Verma
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, PA, USA
| | - Scott Dudek
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
| | - Sony Tuteja
- Department of Medicine, University of Pennsylvania, PA, USA
| | - Anurag Verma
- Department of Medicine, University of Pennsylvania, PA, USA
| | | | - Marylyn D. Ritchie
- Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
- Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Teri E. Klein
- Department of Biomedical Data Science, Stanford University, Stanford, CA, USA
- Department of Medicine (BMIR), Stanford University, Stanford, CA, USA
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43
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Liu J, Zhang C, Song J, Zhang Q, Zhang R, Zhang M, Han D, Tan W. Unlocking Genetic Profiles with a Programmable DNA-Powered Decoding Circuit. Adv Sci (Weinh) 2023:e2206343. [PMID: 37116171 PMCID: PMC10369254 DOI: 10.1002/advs.202206343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 04/12/2023] [Indexed: 06/19/2023]
Abstract
Human genetic architecture provides remarkable insights into disease risk prediction and personalized medication. Advances in genomics have boosted the fine-mapping of disease-associated genetic variants across human genome. In healthcare practice, interpreting intricate genetic profiles into actionable medical decisions can improve health outcomes but remains challenging. Here an intelligent genetic decoder is engineered with programmable DNA computation to automate clinical analyses and interpretations. The DNA-based decoder recognizes multiplex genetic information by one-pot ligase-dependent reactions and interprets implicit genetic profiles into explicit decision reports. It is shown that the DNA decoder implements intended computation on genetic profiles and outputs a corresponding answer within hours. Effectiveness in 30 human genomic samples is validated and it is shown that it achieves desirable performance on the interpretation of CYP2C19 genetic profiles into drug responses, with accuracy equivalent to that of Sanger sequencing. Circuit modules of the DNA decoder can also be readily reprogrammed to interpret another pharmacogenetics genes, provide drug dosing recommendations, and implement reliable molecular calculation of polygenic risk score (PRS) and PRS-informed cancer risk assessment. The DNA-powered intelligent decoder provides a general solution to the translation of complex genetic profiles into actionable healthcare decisions and will facilitate personalized healthcare in primary care.
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Affiliation(s)
- Junlan Liu
- Institute of Molecular Medicine (IMM), Renji Hospital, School of Medicine, and College of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Chao Zhang
- Institute of Molecular Medicine (IMM), Renji Hospital, School of Medicine, and College of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Jinxing Song
- Institute of Molecular Medicine (IMM), Renji Hospital, School of Medicine, and College of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qing Zhang
- Institute of Molecular Medicine (IMM), Renji Hospital, School of Medicine, and College of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Rongjun Zhang
- Institute of Molecular Medicine (IMM), Renji Hospital, School of Medicine, and College of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Mingzhi Zhang
- Institute of Molecular Medicine (IMM), Renji Hospital, School of Medicine, and College of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Da Han
- Institute of Molecular Medicine (IMM), Renji Hospital, School of Medicine, and College of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
- The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China
| | - Weihong Tan
- Institute of Molecular Medicine (IMM), Renji Hospital, School of Medicine, and College of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
- The Key Laboratory of Zhejiang Province for Aptamers and Theranostics, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, Zhejiang, 310022, China
- Molecular Science and Biomedicine Laboratory (MBL), State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, College of Biology, Aptamer Engineering Center of Hunan Province, Hunan University, Changsha, Hunan, 410082, China
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44
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Smith DM, Wake DT, Dunnenberger HM. Pharmacogenomic Clinical Decision Support: A Scoping Review. Clin Pharmacol Ther 2023; 113:803-815. [PMID: 35838358 DOI: 10.1002/cpt.2711] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Accepted: 07/10/2022] [Indexed: 11/06/2022]
Abstract
Clinical decision support (CDS) is often cited as an essential part of pharmacogenomics (PGx) implementations. A multitude of strategies are available; however, it is unclear which strategies are effective and which metrics are used to quantify clinical utility. The objective of this scoping review was to aggregate previous studies into a cohesive depiction of the current state of PGx CDS implementations and identify areas for future research on PGx CDS. Articles were included if they (i) described electronic CDS tools for PGx and (ii) reported metrics related to PGx CDS. Twenty of 3,449 articles were included and provided data on PGx CDS metrics from 15 institutions, with 93% of programs located at academic medical centers. The most common tools in CDS implementations were interruptive post-test alerts. Metrics for clinical response and alert response ranged from 12-73% and 21-98%, respectively. Few data were found on changes in metrics over time and measures that drove the evolution of CDS systems. Relatively few data were available regarding support of optimal approaches for PGx CDS. Post-test alerts were the most widely studied approach, and their effectiveness varied greatly. Further research on the usability, effectiveness, and optimization of CDS tools is needed.
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Affiliation(s)
- D Max Smith
- MedStar Health, Columbia, Maryland, USA.,Georgetown University Medical Center, Washington, District of Columbia, USA
| | - Dyson T Wake
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
| | - Henry M Dunnenberger
- Mark R. Neaman Center for Personalized Medicine, NorthShore University HealthSystem, Evanston, Illinois, USA
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45
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Anderson JD, Davis BH, Giang G, Jones A, Lee CR, Parker K, Searcy H, Benner K, Limdi N, Guimbellot JS. Pharmacogenetic actionability and medication prescribing in people with cystic fibrosis. Clin Transl Sci 2023; 16:662-672. [PMID: 36760155 PMCID: PMC10087076 DOI: 10.1111/cts.13479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Revised: 12/20/2022] [Accepted: 12/21/2022] [Indexed: 02/11/2023] Open
Abstract
Although major advancements have been made in the therapeutics for people with cystic fibrosis (PwCF), many still require the use of multiple medications to manage acute exacerbations of disease and maintain health. Iterative trial and error processes of pharmacotherapeutic management can be optimized by assessing and incorporating pharmacogenetics. For 82 PwCF, we reviewed 2 years of medication use and response history and interrogated metabolizer status for common pharmacogenes, revealing 3336 medication exposure events (MEEs) to 286 unique medications. As expected, the more frequent MEEs were those commonly used to treat cystic fibrosis (CF), such as antibiotics and respiratory medications. Antibiotics also comprised 56.7% of the undesirable drug responses. The impact of gene variants on drug responses was assessed using Pharmacogenomics Knowledgebase (PharmGKB) and Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines. Thirty-three (11.5%) medications have strong evidence of genetic influence on response as evidenced by gene-based dosing guidelines. 110 (38.5%) unique medications had at least one association with a very important pharmacogene, whereas 143 (50%) were associated with at least one clinical or variant annotation. Over 97% of participants had at least one actionable genotype. Eleven (13.4%) patients with an actionable genotype, taking the impacted medication, had an undesirable drug response described in the CPIC guidelines that could potentially have been mitigated with a priori knowledge of the genotype. PwCF take many medications for disease management, with frequent dose changes to elicit a desired clinical effect. As CF care evolves, implementing pharmacogenetics testing can improve efficiency and safety of prescribing practices using precision selection and dosing at medication initiation.
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Affiliation(s)
- Justin D. Anderson
- Gregory Fleming James Cystic Fibrosis Research CenterUniversity of Alabama at Birmingham (UAB)BirminghamAlabamaUSA
- Division of Pulmonary and Sleep Medicine, Department of PediatricsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Brittney H. Davis
- Department of Neurology, School of MedicineUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Gracie Giang
- McWhorter School of PharmacySamford UniversityBirminghamAlabamaUSA
| | - April Jones
- McWhorter School of PharmacySamford UniversityBirminghamAlabamaUSA
| | - Cameron R. Lee
- McWhorter School of PharmacySamford UniversityBirminghamAlabamaUSA
| | - Kennedy Parker
- Gregory Fleming James Cystic Fibrosis Research CenterUniversity of Alabama at Birmingham (UAB)BirminghamAlabamaUSA
- Division of Pulmonary and Sleep Medicine, Department of PediatricsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Heather Searcy
- Division of Pulmonary and Sleep Medicine, Department of PediatricsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Kim Benner
- McWhorter School of PharmacySamford UniversityBirminghamAlabamaUSA
| | - Nita A. Limdi
- Department of Neurology, School of MedicineUniversity of Alabama at BirminghamBirminghamAlabamaUSA
| | - Jennifer S. Guimbellot
- Gregory Fleming James Cystic Fibrosis Research CenterUniversity of Alabama at Birmingham (UAB)BirminghamAlabamaUSA
- Division of Pulmonary and Sleep Medicine, Department of PediatricsUniversity of Alabama at BirminghamBirminghamAlabamaUSA
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46
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Smith DM, Figg WD. Evidence Regarding Pharmacogenetics in Pain Management and Cancer. Oncologist 2023; 28:189-192. [PMID: 36718020 PMCID: PMC10020807 DOI: 10.1093/oncolo/oyac277] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 12/15/2022] [Indexed: 02/01/2023] Open
Abstract
Patients experience interindividual variation in response to analgesics, which may be partially explained by genetics. This commentary discusses a recently published trial on COMT genotype and opioid dose requirements and describes the potential role for COMT and other genes (eg, CYP2D6) on opioid therapy and the current evidence for germline pharmacogenetics and resources for opioid pharmacogenetics.
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Affiliation(s)
- D Max Smith
- Corresponding author: D. Max Smith, PharmD, MedStar Health, 3007 Tilden Street NW, Suite 7L, Washington, DC 20008, USA.
| | - William D Figg
- Molecular Pharmacology Section, Genitourinary Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
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47
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Reeves AA, Hopefl R, Deb S. Evaluation of pharmacogenomic evidence for drugs related to ADME genes in CPIC database. Drug Metab Pers Ther 2023; 38:65-78. [PMID: 36257916 DOI: 10.1515/dmpt-2022-0123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 08/19/2022] [Indexed: 02/21/2023]
Abstract
OBJECTIVES Clinical Pharmacogenetics Implementation Consortium (CPIC) is a platform that advances the pharmacogenomics (PGx) practice by developing evidence-based guidelines. The purpose of this study was to analyze the CPIC database for ADME related genes and their corresponding drugs, and evidence level for drug-gene pairs; and to determine the presence of these drug-gene pairs in the highest mortality diseases in the United States. METHODS CPIC database was evaluated for drug-gene pairs related to absorption, distribution, metabolism, and excretion (ADME) properties. National Vital Statistics from Centers for Disease Control and Prevention was used to identify the diseases with the highest mortality. CPIC levels are assigned to different drug-gene pairs based on varying levels of evidence as either A, B, C, or D. All drug-gene pairs assigned with A/B, B/C, or C/D mixed levels were excluded from this study. A stepwise exclusion process was followed to determine the prevalence of various ADME drug-gene pairs among phase I/II enzymes or transporters and stratify the drug-gene pairs relevant to different disease conditions most commonly responsible for death in the United States. RESULTS From a total of 442 drug-gene pairs in the CPIC database, after exclusion of 86 drug-gene pairs with levels A/B, B/C, or C/D, and 211 non-ADME related genes, 145 ADME related drug-gene pairs resulted. From the 145 ADME related drug-genes pairs, the following were the distribution of levels: Level A: 43 (30%), Level B: 22 (15%), Level C: 59 (41%), Level D: 21 (14%). The most prevalent ADME gene with CPIC level A classification was cytochrome P450 2C9 (CYP2C9) (26%) and overall, the most prevalent ADME gene in the CPIC database was CYP2D6 (30%). The most prevalent diseases related to the CPIC evidence related drugs were cancer and depression. CONCLUSIONS We found that there is an abundance of ADME related genes in the CPIC database, including in the high mortality disease states of cancer and depression. There is a differential level of pharmacogenomic evidence in drug-gene pairs enlisted in CPIC where levels A and D having the greatest number of drug-gene pairs. CYP2D6 was the most common ADME gene with CPIC evidence for drug-gene pairs. Pharmacogenomic applications of CPIC evidence can be leveraged to individualize patient therapy and lower adverse effect events.
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Affiliation(s)
- Anthony Allen Reeves
- Department of Pharmaceutical Sciences, College of Pharmacy, Larkin University, Miami, FL, USA
| | - Robert Hopefl
- Department of Pharmaceutical Sciences, College of Pharmacy, Larkin University, Miami, FL, USA
| | - Subrata Deb
- Department of Pharmaceutical Sciences, College of Pharmacy, Larkin University, Miami, FL, USA
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48
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van de Geer WS, Mathijssen RHJ, van Riet J, Steeghs N, Labots M, van Herpen C, Devriese LA, Tjan-Heijnen VCG, Voest EE, Sleijfer S, Martens JWM, Cuppen E, van de Werken HJG, Bins S. Identifying somatic changes in drug transporters using whole genome and transcriptome sequencing data of advanced tumors. Biomed Pharmacother 2023; 159:114210. [PMID: 36621142 DOI: 10.1016/j.biopha.2022.114210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 12/23/2022] [Accepted: 12/30/2022] [Indexed: 01/09/2023] Open
Abstract
Drug resistance is a perpetual problem in cancer therapy with many underlying mechanisms. Alterations in drug transport over the cancer cell membrane can severely alter intratumoral drug exposure, contributing to resistance. Here, we present the somatic mutational landscape of 48 ATP-binding cassette and 416 solute carrier transporter genes in a cohort (CPCT-02; NCT01855477) of 3290 patients with different types of advanced and metastasized cancer through analysis of whole genome and transcriptome sequencing. In order to identify potential stressor mechanisms, we stratified patients based on previous systemic therapies and subsequently investigated the enrichment of mutations and copy-number alterations of transporter genes. In tumors from patients pretreated with protein kinase inhibitors (PKIs), genes encoding for specific copper (SLC31A1 and SLC31A2, χ2-test adjusted p-values: 6.9e-09 and 2.5e-09) and nucleoside transporters (SLC28A2 and SLC28A3, χ2-test adjusted p-values: 3.5e-06 and 6.8e-07) were deleted significantly more frequently than in patients pretreated with chemotherapy. Moreover, we detected 16 transporters that were differentially expressed at RNA level between these treatment groups. These findings contradict mechanisms of selective pressure, as they would be expected to originate during treatment with chemotherapy rather than with PKIs. Hence, they might constitute primary drug resistance mechanisms and, therefore, warrant further study.
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49
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Abstract
Inter-individual variability in drug response, be it efficacy or safety, is common and likely to become an increasing problem globally given the growing elderly population requiring treatment. Reasons for this inter-individual variability include genomic factors, an area of study called pharmacogenomics. With genotyping technologies now widely available and decreasing in cost, implementing pharmacogenomics into clinical practice - widely regarded as one of the initial steps in mainstreaming genomic medicine - is currently a focus in many countries worldwide. However, major challenges of implementation lie at the point of delivery into health-care systems, including the modification of current clinical pathways coupled with a massive knowledge gap in pharmacogenomics in the health-care workforce. Pharmacogenomics can also be used in a broader sense for drug discovery and development, with increasing evidence suggesting that genomically defined targets have an increased success rate during clinical development.
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50
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Liu Y, Lin Z, Chen Q, Chen Q, Sang L, Wang Y, Shi L, Guo L, Yu Y. PAnno: A pharmacogenomics annotation tool for clinical genomic testing. Front Pharmacol 2023; 14:1008330. [PMID: 36778023 PMCID: PMC9909284 DOI: 10.3389/fphar.2023.1008330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2022] [Accepted: 01/16/2023] [Indexed: 01/27/2023] Open
Abstract
Introduction: Next-generation sequencing (NGS) technologies have been widely used in clinical genomic testing for drug response phenotypes. However, the inherent limitations of short reads make accurate inference of diplotypes still challenging, which may reduce the effectiveness of genotype-guided drug therapy. Methods: An automated Pharmacogenomics Annotation tool (PAnno) was implemented, which reports prescribing recommendations and phenotypes by parsing the germline variant call format (VCF) file from NGS and the population to which the individual belongs. Results: A ranking model dedicated to inferring diplotypes, developed based on the allele (haplotype) definition and population allele frequency, was introduced in PAnno. The predictive performance was validated in comparison with four similar tools using the consensus diplotype data of the Genetic Testing Reference Materials Coordination Program (GeT-RM) as ground truth. An annotation method was proposed to summarize prescribing recommendations and classify drugs into avoid use, use with caution, and routine use, following the recommendations of the Clinical Pharmacogenetics Implementation Consortium (CPIC), etc. It further predicts phenotypes of specific drugs in terms of toxicity, dosage, efficacy, and metabolism by integrating the high-confidence clinical annotations in the Pharmacogenomics Knowledgebase (PharmGKB). PAnno is available at https://github.com/PreMedKB/PAnno. Discussion: PAnno provides an end-to-end clinical pharmacogenomics decision support solution by resolving, annotating, and reporting germline variants.
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Affiliation(s)
- Yaqing Liu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Zipeng Lin
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Qingwang Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Qiaochu Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Leqing Sang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Yunjin Wang
- Department of Breast Surgery, Precision Cancer Medicine Center, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Shanghai, China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Li Guo
- State Key Laboratory of Multiphase Complex Systems, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, China,School of Chemical Engineering, University of Chinese Academy of Sciences, Beijing, China,*Correspondence: Li Guo, ; Ying Yu,
| | - Ying Yu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences and Shanghai Cancer Center, Fudan University, Shanghai, China,*Correspondence: Li Guo, ; Ying Yu,
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