1
|
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; 25:214-221. [PMID: 38493365 DOI: 10.1080/15622975.2024.2321553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 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.
Collapse
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
| |
Collapse
|
2
|
Zhang Z, Yang Y, Kong W, Huang S, Tan Y, Huang S, Zhang M, Lu H, Li Y, Li X, Liu S, Wen Y, Shang D. A Bibliometric and Visual Analysis of Single Nucleotide Polymorphism Studies in Depression. Curr Neuropharmacol 2024; 22:302-322. [PMID: 37581520 PMCID: PMC10788886 DOI: 10.2174/1570159x21666230815125430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 11/30/2022] [Accepted: 02/10/2023] [Indexed: 08/16/2023] Open
Abstract
BACKGROUND Genetic polymorphism has been proven to have an important association with depression, which can influence the risk of developing depression, the efficacy of medications, and adverse effects via metabolic and neurological pathways. Nonetheless, aspects of the association between single nucleotide polymorphisms and depression have not been systematically investigated by bibliometric analysis. OBJECTIVE The aim of this study was to analyze the current status and trends of single nucleotide polymorphism research on depression through bibliometric and visual analysis. METHODS The Web of Science Core Collection was used to retrieve 10,043 articles that were published between 1998 and 2021. CiteSpace (6.1 R4) was used to perform collaborative network analysis, co-citation analysis, co-occurrence analysis, and citation burst detection. RESULTS The most productive and co-cited journals were the Journal of Affective Disorders and Biological Psychiatry, respectively, and an analysis of the references showed that the most recent research focused on the largest thematic cluster, "5-HT", reflecting the important research base in this area. "CYP2D6" has been in the spotlight since its emergence in 2009 and has become a research hotspot since its outbreak in 2019. However, "BDNF ", "COMT ", "older adults", "loci", and "DNA methylation" are also the new frontier of research, and some of them are currently in the process of exploration. CONCLUSION These findings offer a useful perspective on existing research and potential future approaches in the study of the association between single nucleotide polymorphisms and depression, which may assist researchers in selecting appropriate collaborators or journals.
Collapse
Affiliation(s)
- Zi Zhang
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| | - Ye Yang
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| | - Wan Kong
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| | - Shanqing Huang
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| | - Yaqian Tan
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| | - Shanshan Huang
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| | - Ming Zhang
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| | - Haoyang Lu
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| | - Yuhua Li
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| | - Xiaolin Li
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| | - Shujing Liu
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| | - Yuguan Wen
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| | - Dewei Shang
- Department of Pharmacy, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 510370, China
| |
Collapse
|
3
|
Rates of Divergent Pharmacogenes in a Psychiatric Cohort of Inpatients with Depression-Arguments for Preemptive Testing. J Xenobiot 2022; 12:317-328. [PMID: 36412766 PMCID: PMC9680514 DOI: 10.3390/jox12040022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Revised: 10/21/2022] [Accepted: 10/25/2022] [Indexed: 12/14/2022] Open
Abstract
Background: The international drug agencies annotate pharmacogenes for many years. Pharmacogenetic testing is thus far only established in few settings, assuming that only few patients are actually affected by drug-gene interactions. Methods: 108 hospitalized patients with major depressive disorder were genotyped for CYP1A2, CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, CYP3A4, CYP3A5, NAT2, DPYD; VKORC1 and TMTP. Results: We found 583 (mean 5.4, median 5) divergent phenotypes (i.e., divergent from the common phenotypes considered normal, e.g., extensive metabolizer) in the 12 analyzed pharmacokinetic genes. The rate for at least one divergent phenotype was 100% in our cohort for CYP, but also for all 12 important pharmacogenes: patients had at least two divergent phenotypes. Compared to a large Danish cohort, CYP2C9 NM and IM status, CYP2C19 UM, CYP2D6 UM and DYPD (GAS 0, 1, 2) genotypes differed statistical significantly. For CYP2D6 and CYP2C19, 13% of the patients were normal metabolizers for both enzymes in our cohort, but this value was 27.3% in the Danish cohort, which is a highly significant difference (p < 0.0001). Conclusion: Divergent phenotypes in pharmacogenes are not the exception, but the rule. Patients with divergent phenotypes seem more prone for hospitalization, emphasizing the need for pre-emptive testing to avoid inefficacy and adverse drug effects in all patients.
Collapse
|
4
|
Austin CA, Szeto A, Gupta A, Wiltshire T, Crona DJ, Kistler C. The Pharmacogenetics of Opiates and Its Impact on Delirium in Mechanically Ventilated Adults: A Pilot Study. J Pharm Technol 2022; 38:195-201. [PMID: 35832565 PMCID: PMC9272493 DOI: 10.1177/87551225221085116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Background: Pharmacogenetics may explain a substantial proportion of the variation seen in the efficacy and risk profile of analgesosedative drugs and the incidence of delirium in critically ill adults. Objectives: Conduct a feasibility study to demonstrate the reliability of collecting and analyzing pharmacogenetic information from critically ill patients and to assess the impact of pharmacogenetics on intensive care unit (ICU) outcomes. Methods: We prospectively enrolled subjects from the Medical ICU at the University of North Carolina (UNC). DNA was obtained via a buccal swab and evaluated using the DNA2Rx assay. We collected data on demographics, daily cumulative psychoactive medication exposure, and severity of illness. We performed daily delirium assessments via the CAM-ICU. We analyzed associations between select single nucleotide polymorphisms (SNPs) and delirium. Results: From June, 2018 through January, 2019, we screened 244 patients and enrolled 50. The median age was 62.0 years old (range: 28-82 years old), and 27 (54%) of the subjects were female. In all, 49 (98%) samples were both high quality and sufficient quantity. In secondary analyses, we found that 80% (12/15) of patients with two 2 copies of a G allele at rs4680 on COMT experienced delirium, whereas 44% (4/9) of patients with 2 copies of an A allele at this location had delirium. In all, 44% (4/9) of patients with 2 T allele copies at rs7439366 on UGT2B7 experienced delirium compared to 73% (11/15) of patients with 2 C allele copies at this location. Conclusions: We can feasibly collect genetic information from critically ill adults. We were able to efficiently collect high quality DNA of sufficient quantity to conduct pharmacogenetic analysis in this critically ill population. Although the sample size of our current study is too small to conduct robust inferential analyses, it suggests potential SNP targets for a future larger study.
Collapse
Affiliation(s)
- C. Adrian Austin
- Division of Pulmonary and Critical Care Medicine, Division of Geriatric Medicine, Department of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Division of Geriatric Medicine, Department of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Andy Szeto
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Apoorva Gupta
- School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Timothy Wiltshire
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
| | - Daniel J. Crona
- Division of Pharmacotherapy and Experimental Therapeutics, UNC Eshelman School of Pharmacy, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, USA
- Department of Pharmacy, UNC Hospitals and Clinics, Chapel Hill, NC, USA
| | - Christine Kistler
- Division of Geriatric Medicine, Department of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Family Medicine, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- The Cecil G. Sheps Center for Health Services Research, The University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| |
Collapse
|
5
|
Hahn M, Roll SC. The Influence of Pharmacogenetics on the Clinical Relevance of Pharmacokinetic Drug-Drug Interactions: Drug-Gene, Drug-Gene-Gene and Drug-Drug-Gene Interactions. Pharmaceuticals (Basel) 2021; 14:487. [PMID: 34065361 PMCID: PMC8160673 DOI: 10.3390/ph14050487] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 05/14/2021] [Accepted: 05/15/2021] [Indexed: 01/03/2023] Open
Abstract
Drug interactions are a well-known cause of adverse drug events, and drug interaction databases can help the clinician to recognize and avoid such interactions and their adverse events. However, not every interaction leads to an adverse drug event. This is because the clinical relevance of drug-drug interactions also depends on the genetic profile of the patient. If inhibitors or inducers of drug metabolising enzymes (e.g., CYP and UGT) are added to the drug therapy, phenoconcversion can occur. This leads to a genetic phenotype that mismatches the observable phenotype. Drug-drug-gene and drug-gene-gene interactions influence the toxicity and/or ineffectivness of the drug therapy. To date, there have been limited published studies on the impact of genetic variations on drug-drug interactions. This review discusses the current evidence of drug-drug-gene interactions, as well as drug-gene-gene interactions. Phenoconversion is explained, the and methods to calculate the phenotypes are described. Clinical recommendations are given regarding the integratation of the PGx results in the assessment of the relevance of drug interactions in the future.
Collapse
Affiliation(s)
- Martina Hahn
- Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Universitätsklinikums Frankfurt, 60528 Frankfurt, Germany
- Dr. Amelung Privatklinik, 61462 Königstein, Germany
| | - Sibylle C. Roll
- Klinik für Psychische Gesundheit, Klinikum Frankfurt Höchst, 65929 Frankfurt, Germany;
| |
Collapse
|
6
|
Lunenburg CATC, Thirstrup JP, Bybjerg-Grauholm J, Bækvad-Hansen M, Hougaard DM, Nordentoft M, Werge T, Børglum AD, Mors O, Mortensen PB, Gasse C. Pharmacogenetic genotype and phenotype frequencies in a large Danish population-based case-cohort sample. Transl Psychiatry 2021; 11:294. [PMID: 34006849 PMCID: PMC8131614 DOI: 10.1038/s41398-021-01417-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 04/20/2021] [Accepted: 05/04/2021] [Indexed: 12/23/2022] Open
Abstract
Pharmacogenetics aims to improve clinical care by studying the relationship between genetic variation and variable drug response. Large population-based datasets could improve our current understanding of pharmacogenetics from selected study populations. We provide real-world pharmacogenetic frequencies of genotypes and (combined) phenotypes of a large Danish population-based case-cohort sample (iPSYCH2012; data of the Integrative Psychiatric Research consortium). The genotyped sample consists of 77,684 individuals, of which 51,464 individuals had diagnoses of severe mental disorders (SMD case-cohort) and 26,220 were individuals randomly selected from the Danish population (population cohort). Array-based genotype data imputed to 8.4 million genetic variants was searched for a selected pharmacogenetic panel of 42 clinically relevant variants and a CYP2D6 gene deletion and duplication. We identified 19 of 42 variants. Minor allele frequencies (MAFs) were consistent with previously reported MAFs, and did not differ between SMD cases and population cohorts. Almost all individuals carried at least one genetic variant (> 99.9%) and 87% carried three or more genetic variants. When genotypes were translated into phenotypes, also > 99.9% of individuals had at least one divergent phenotype (i.e. divergent from the common phenotypes considered normal, e.g. extensive metabolizer). The high number of identified individuals with at least one pharmacogenetic variant or divergent phenotype indicates the importance of pharmacogenetic panel-based genotyping. Combined CYP2C19-CYP2D6 phenotypes revealed that 72.7% of individuals had divergent phenotypes for one or both enzymes. As CYP2D6 and CYP2C19 have an important role in the metabolism of psychotropic drugs, this indicates the relevance of pharmacogenetic testing specifically in individuals using psychotropic drugs.
Collapse
Affiliation(s)
- Carin A. T. C. Lunenburg
- grid.154185.c0000 0004 0512 597XDepartment of Affective Disorders, Aarhus University Hospital Psychiatry, Aarhus, Denmark ,grid.7048.b0000 0001 1956 2722Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Janne P. Thirstrup
- grid.7048.b0000 0001 1956 2722Department of Biomedicine, Faculty of Health, Aarhus University, Aarhus, Denmark ,grid.452548.a0000 0000 9817 5300The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus/Copenhagen, Denmark ,grid.7048.b0000 0001 1956 2722Center for Genomics and Personalized Medicine, Aarhus University, Aarhus, Denmark
| | - Jonas Bybjerg-Grauholm
- grid.452548.a0000 0000 9817 5300The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus/Copenhagen, Denmark ,grid.6203.70000 0004 0417 4147Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen, Denmark
| | - Marie Bækvad-Hansen
- grid.6203.70000 0004 0417 4147Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen, Denmark
| | - David M. Hougaard
- grid.452548.a0000 0000 9817 5300The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus/Copenhagen, Denmark ,grid.6203.70000 0004 0417 4147Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen, Denmark
| | - Merete Nordentoft
- grid.452548.a0000 0000 9817 5300The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus/Copenhagen, Denmark ,grid.4973.90000 0004 0646 7373Mental Health Centre Copenhagen, Capital Region of Denmark, Copenhagen University Hospital, Copenhagen, Denmark
| | - Thomas Werge
- grid.452548.a0000 0000 9817 5300The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus/Copenhagen, Denmark ,grid.5254.60000 0001 0674 042XInstitute of Biological Psychiatry, Mental Health Services, Copenhagen University, Copenhagen, Denmark ,grid.5254.60000 0001 0674 042XDepartment of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark ,grid.5254.60000 0001 0674 042XLundbeck Foundation Center for GeoGenetics, GLOBE Institute, University of Copenhagen, Copenhagen, Denmark
| | - Anders D. Børglum
- grid.7048.b0000 0001 1956 2722Department of Biomedicine, Faculty of Health, Aarhus University, Aarhus, Denmark ,grid.452548.a0000 0000 9817 5300The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus/Copenhagen, Denmark ,grid.7048.b0000 0001 1956 2722Center for Genomics and Personalized Medicine, Aarhus University, Aarhus, Denmark
| | - Ole Mors
- grid.452548.a0000 0000 9817 5300The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus/Copenhagen, Denmark ,grid.154185.c0000 0004 0512 597XPsychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark
| | - Preben B. Mortensen
- grid.452548.a0000 0000 9817 5300The Lundbeck Foundation Initiative for Integrative Psychiatric Research, iPSYCH, Aarhus/Copenhagen, Denmark ,grid.7048.b0000 0001 1956 2722NCRR National Centre for Register-Based Research, School of Business and Social Sciences, Aarhus University, Aarhus, Denmark ,grid.7048.b0000 0001 1956 2722Centre for Integrated Register-based Research, CIRRAU, Aarhus University, Aarhus, Denmark
| | - Christiane Gasse
- Department of Affective Disorders, Aarhus University Hospital Psychiatry, Aarhus, Denmark. .,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark. .,Psychosis Research Unit, Aarhus University Hospital Psychiatry, Aarhus, Denmark.
| |
Collapse
|