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Facal F, Portela B, Gil-Rodríguez A, Barros F, Maroñas O, Carracedo A. Deletion of the CYP2D6 gene as a likely explanation for the serious side effects of the antipsychotic drug pimozide: a case report. Front Pharmacol 2023; 14:1237446. [PMID: 37637419 PMCID: PMC10448185 DOI: 10.3389/fphar.2023.1237446] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 07/24/2023] [Indexed: 08/29/2023] Open
Abstract
CYP2D6 analysis prior to the prescription of pimozide is required above a certain dose by the Food and Drug Administration in order to detect individuals with the poor metabolizer status. This precautionary measure aims to prevent the occurrence of serious adverse drug reactions. This study presents a case of a patient diagnosed with schizophrenia spectrum disorder. The patient suffered re-admission in the psychiatry ward because of severe secondary symptoms due to the antipsychotic drug pimozide, previously prescribed on a first admission. In order to assess the patient's medication profile, real-time PCR was performed to analyze the main genes responsible for its metabolization, namely, CYP2D6 and CYP3A4. The pharmacogenetic study revealed that the patient is a poor metabolizer for CYP2D6, presenting deletion of both copies of the gene (diplotype *5/*5). Fortunately, the symptomatology disappeared after the withdrawal of the responsible drug. In conclusion, abiding by the pharmacogenetic clinical practice guidelines and the pharmacogenetic analysis of CYP2D6 when prescribing pimozide would have probably saved the patient from the consequences of severe side effects and the health system expenditure. There is an important need for more training in the pharmacogenetic field for specialists in psychiatry.
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Affiliation(s)
- Fernando Facal
- Servizo de Psiquiatría, Complexo Hospitalario Universitario de Santiago de Compostela, Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Galicia, Spain
- Grupo de Genética Psiquiátrica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
| | - Begoña Portela
- Servizo de Psiquiatría, Complexo Hospitalario Universitario de Santiago de Compostela, Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Galicia, Spain
| | - Almudena Gil-Rodríguez
- Grupo de Genética, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Grupo de Medicina Xenómica, Centro de Investigación en Medicina Molecular y Enfermedades Crónicas (CIMUS), Universidade de Santiago de Compostela (USC), Santiago de Compostela, Spain
| | - Francisco Barros
- Grupo de Genética, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras, Instituto de Salud Carlos III (CIBERER), Madrid, Spain
- Grupo de Medicina Xenómica, Fundación Pública Galega de Medicina Xenómica (FPGMX), Santiago de Compostela, Spain
| | - Olalla Maroñas
- Grupo de Genética, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Grupo de Medicina Xenómica, Centro de Investigación en Medicina Molecular y Enfermedades Crónicas (CIMUS), Universidade de Santiago de Compostela (USC), Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras, Instituto de Salud Carlos III (CIBERER), Madrid, Spain
- Grupo de Medicina Xenómica, Fundación Pública Galega de Medicina Xenómica (FPGMX), Santiago de Compostela, Spain
| | - Angel Carracedo
- Grupo de Genética, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Grupo de Medicina Xenómica, Centro de Investigación en Medicina Molecular y Enfermedades Crónicas (CIMUS), Universidade de Santiago de Compostela (USC), Santiago de Compostela, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Raras, Instituto de Salud Carlos III (CIBERER), Madrid, Spain
- Grupo de Medicina Xenómica, Fundación Pública Galega de Medicina Xenómica (FPGMX), Santiago de Compostela, Spain
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2
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Lokmer A, Alladi CG, Troudet R, Bacq-Daian D, Boland-Auge A, Latapie V, Deleuze JF, RajKumar RP, Shewade DG, Bélivier F, Marie-Claire C, Jamain S. Risperidone response in patients with schizophrenia drives DNA methylation changes in immune and neuronal systems. Epigenomics 2023; 15:21-38. [PMID: 36919681 DOI: 10.2217/epi-2023-0017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023] Open
Abstract
Background: The choice of efficient antipsychotic therapy for schizophrenia relies on a time-consuming trial-and-error approach, whereas the social and economic burdens of the disease call for faster alternatives. Material & methods: In a search for predictive biomarkers of antipsychotic response, blood methylomes of 28 patients were analyzed before and 4 weeks into risperidone therapy. Results: Several CpGs exhibiting response-specific temporal dynamics were identified in otherwise temporally stable methylomes and noticeable global response-related differences were observed between good and bad responders. These were associated with genes involved in immunity, neurotransmission and neuronal development. Polymorphisms in many of these genes were previously linked with schizophrenia etiology and antipsychotic response. Conclusion: Antipsychotic response seems to be shaped by both stable and medication-induced methylation differences.
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Affiliation(s)
- Ana Lokmer
- Univ Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, Créteil, F-94000, France.,Fondation FondaMental, Créteil, F-94000, France
| | - Charanraj Goud Alladi
- Université de Paris, INSERM UMRS 1144, Optimisation Thérapeutique en Neuropsychopharmacologie (OTeN), Paris, F-75006, France
| | - Réjane Troudet
- Univ Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, Créteil, F-94000, France.,Fondation FondaMental, Créteil, F-94000, France
| | - Delphine Bacq-Daian
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Evry, F-91057, France
| | - Anne Boland-Auge
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Evry, F-91057, France
| | - Violaine Latapie
- Univ Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, Créteil, F-94000, France.,Fondation FondaMental, Créteil, F-94000, France
| | - Jean-François Deleuze
- Université Paris-Saclay, CEA, Centre National de Recherche en Génomique Humaine (CNRGH), Evry, F-91057, France
| | - Ravi Philip RajKumar
- Department of Pharmacology, Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry, 605006, India
| | - Deepak Gopal Shewade
- Department of Psychiatry, Jawaharlal Institute of Postgraduate Medical Education & Research, Puducherry, 605006, India.,Centre National de Recherche en Génomique Humaine (CNRGH), Institut de Biologie François Jacob, CEA, Université Paris-Saclay, Evry, F-91000, France
| | - Frank Bélivier
- Fondation FondaMental, Créteil, F-94000, France.,Université de Paris, INSERM UMRS 1144, Optimisation Thérapeutique en Neuropsychopharmacologie (OTeN), Paris, F-75006, France.,Hôpitaux Lariboisière-Fernand Widal, GHU APHP Nord, Département de Psychiatrie et de Médecine Addicto-logique, Paris, F-75010, France
| | - Cynthia Marie-Claire
- Université de Paris, INSERM UMRS 1144, Optimisation Thérapeutique en Neuropsychopharmacologie (OTeN), Paris, F-75006, France
| | - Stéphane Jamain
- Univ Paris Est Créteil, INSERM, IMRB, Translational Neuropsychiatry, Créteil, F-94000, France.,Fondation FondaMental, Créteil, F-94000, France
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3
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Vasiliu O. The pharmacogenetics of the new-generation antipsychotics - A scoping review focused on patients with severe psychiatric disorders. Front Psychiatry 2023; 14:1124796. [PMID: 36873203 PMCID: PMC9978195 DOI: 10.3389/fpsyt.2023.1124796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 01/30/2023] [Indexed: 02/18/2023] Open
Abstract
Exploring the possible correlations between gene variations and the clinical effects of the new-generation antipsychotics is considered essential in the framework of personalized medicine. It is expected that pharmacogenetic data will be useful for increasing the treatment efficacy, tolerability, therapeutic adherence, functional recovery, and quality of life in patients with severe psychiatric disorders (SPD). This scoping review investigated the available evidence about the pharmacokinetics, pharmacodynamics, and pharmacogenetics of five new-generation antipsychotics, i.e., cariprazine, brexpiprazole, aripiprazole, lumateperone, and pimavanserin. Based on the analysis of 25 primary and secondary sources and the review of these agents' summaries of product characteristics, aripiprazole benefits from the most relevant data about the impact of gene variability on its pharmacokinetics and pharmacodynamics, with significant consequences on this antipsychotic's efficacy and tolerability. The determination of the CYP2D6 metabolizer status is important when administering aripiprazole, either as monotherapy or associated with other pharmacological agents. Allelic variability in genes encoding dopamine D2, D3, and serotonin, 5HT2A, 5HT2C receptors, COMT, BDNF, and dopamine transporter DAT1 was also associated with different adverse events or variations in the clinical efficacy of aripiprazole. Brexpiprazole also benefits from specific recommendations regarding the CYP2D6 metabolizer status and the risks of associating this antipsychotic with strong/moderate CYP2D6 or CYP3A4 inhibitors. US Food and Drug Administration (FDA) and European Medicines Agency (EMA) recommendations about cariprazine refer to possible pharmacokinetic interactions with strong CYP3A4 inhibitors or inducers. Pharmacogenetic data about cariprazine is sparse, and relevant information regarding gene-drug interactions for lumateperone and pimavanserin is yet lacking. In conclusion, more studies are needed to detect the influence of gene variations on the pharmacokinetics and pharmacodynamics of new-generation antipsychotics. This type of research could increase the ability of clinicians to predict favorable responses to specific antipsychotics and to improve the tolerability of the treatment regimen in patients with SPD.
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Affiliation(s)
- Octavian Vasiliu
- Department of Psychiatry, Dr. Carol Davila Central Military Emergency University Hospital, Bucharest, Romania
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4
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Skryabin V, Rozochkin I, Zastrozhin M, Lauschke V, Franck J, Bryun E, Sychev D. Meta-analysis of pharmacogenetic clinical decision support systems for the treatment of major depressive disorder. THE PHARMACOGENOMICS JOURNAL 2022; 23:45-49. [PMID: 36273107 DOI: 10.1038/s41397-022-00295-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/06/2022] [Accepted: 10/10/2022] [Indexed: 11/07/2022]
Abstract
The study aimed to conduct a meta-analysis of studies comparing pharmacogenetically guided dosing of antidepressants with empiric standard of care. Publications referring to genotype-guided antidepressant therapy were identified via PubMed, Google Scholar, Scopus, Web of Science, Embase, and Cochrane databases from the inception of the databases to 2021. In addition, bibliographies of all articles were manually searched for additional references not identified in primary searches. Studies comparing clinical outcomes between two groups of patients who received antidepressant treatment were included in meta-analysis. Analysis of the data revealed statistically significant differences between the experimental group receiving pharmacogenetically guided dosing and the empirically treated controls. Specifically, genotype-guided treatment significantly improved response and remission of patients after both eight and twelve weeks of therapy, whereas no effect on the development of adverse drug reactions was observed. This meta-analysis indicates that the use of preemptive genotyping to guide dosing of antidepressants might increase treatment efficacy.
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5
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Seven ZGT, Özen D, Özyazgan S. Pharmacogenomic Biomarkers. Biomark Med 2022. [DOI: 10.2174/9789815040463122010014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Why does the usual dose of medication work for a person while another
individual cannot give the expected response to the same drug? On the other hand, how
come half of the usual dose of an analgesic relieves an individual’s pain immediately,
as another man continue to suffer even after taking double dose? Although a treatment
method has been successfully used in majority of the population for many years, why
does the same therapy cause serious side effects in another region of the world? Most
presently approved therapies are not effective in all patients. For example, 20-40% of
patients with depression respond poorly or not at all to antidepressant drug therapy.
Many patients are resistant to the effects of antiasthmatics and antiulcer drugs or drug
treatment of hyperlipidemia and many other diseases. The reason for all those is
basically interindividual differences in genomic structures of people, which are
explained in this chapter in terms of the systems and the most frequently used drugs in
clinical treatment.
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Affiliation(s)
- Zeynep Gizem Todurga Seven
- Department of Medical Pharmacology, Cerrahpasa Medical Faculty, Istanbul University-
Cerrahpasa, Istanbul, Turkey
| | - Deniz Özen
- Department of Medical Pharmacology, Cerrahpasa Medical Faculty, Istanbul University-
Cerrahpasa, Istanbul, Turkey
| | - Sibel Özyazgan
- Department of Medical Pharmacology, Cerrahpasa Medical Faculty, Istanbul University-
Cerrahpasa, Istanbul, Turkey
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6
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Elsheikh SSM, Müller DJ, Pouget JG. Pharmacogenetics of Antipsychotic Treatment in Schizophrenia. Methods Mol Biol 2022; 2547:389-425. [PMID: 36068471 DOI: 10.1007/978-1-0716-2573-6_14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Antipsychotics are the mainstay treatment for schizophrenia. There is large variability between individuals in their response to antipsychotics, both in efficacy and adverse effects of treatment. While the source of interindividual variability in antipsychotic response is not completely understood, genetics is a major contributing factor. The identification of pharmacogenetic markers that predict antipsychotic efficacy and adverse reactions is a growing area of research and holds the potential to replace the current trial-and-error approach to treatment selection in schizophrenia with a personalized medicine approach.In this chapter, we provide an overview of the current state of pharmacogenetics in schizophrenia treatment. The most promising pharmacogenetic findings are presented for both antipsychotic response and commonly studied adverse reactions. The application of pharmacogenetics to schizophrenia treatment is discussed, with an emphasis on the clinical utility of pharmacogenetic testing and directions for future research.
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Affiliation(s)
| | - Daniel J Müller
- The Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada.
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
| | - Jennie G Pouget
- The Centre for Addiction and Mental Health (CAMH), Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
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7
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Yoshida K, Koyama E, Zai CC, Beitchman JH, Kennedy JL, Lunsky Y, Desarkar P, Müller DJ. Pharmacogenomic Studies in Intellectual Disabilities and Autism Spectrum Disorder: A Systematic Review. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2021; 66:1019-1041. [PMID: 33222504 PMCID: PMC8689451 DOI: 10.1177/0706743720971950] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Individuals with intellectual disability (ID) and autism spectrum disorder (ASD) often receive psychotropic medications such as antipsychotics and antidepressants to treat aberrant behaviors and mood symptoms, frequently resulting in polypharmacy and drug-related adverse effects. Pharmacogenomic (PGx) studies with ASD and/or ID (ASD/ID) have been scarce despite the promise of optimizing treatment outcomes. We reviewed the literature on PGx studies with antipsychotics and antidepressants (e.g., treatment response and adverse effects) in ASD/ID. METHODS We performed a systematic review using MEDLINE, Embase, and PsycINFO, including peer-reviewed original articles in English referring to PGx in the treatment of ASD/ID in any age groups (e.g., treatment response and adverse effects). RESULTS A total of 28 PGx studies using mostly candidate gene approaches were identified across age groups. Notably, only 3 studies included adults with ASD/ID while the other 25 studies focused specifically on children/adolescents with ASD/ID. Twelve studies primarily investigated treatment response, of which 5 and 6 studies included patients treated with antipsychotics and antidepressants, respectively. Most interesting results for response were reported for 2 sets of candidate gene studies, namely: (1) The DRD3 Ser9Gly (rs6280) polymorphism was examined in patients treated with risperidone in 3 studies, 2 of which reported an association with risperidone treatment response and (2) the SLC6A4 5-HTTLPR polymorphism and treatment response to antidepressants which was investigated in 4 studies, 3 of which reported significant associations. In regard to side effects, 9 of 15 studies focused on hyperprolactinemia in patients treated with risperidone. Among them, 7 and 5 studies examined the impact of CYP2D6 and DRD2 Taq1A polymorphisms, respectively, yielding mostly negative study findings. CONCLUSIONS There is limited data available on PGx in individuals with ASD/ID and in particular in adults. Given the potential for PGx testing in improving treatment outcomes, additional PGx studies for psychotropic treatment in ASD/ID across age groups are warranted.
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Affiliation(s)
- Kazunari Yoshida
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan.,Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Azrieli Adult Neurodevelopmental Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Emiko Koyama
- Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Clement C Zai
- Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Ontario, Canada.,Laboratory Medicine and Pathobiology, University of Toronto, Ontario, Canada
| | - Joseph H Beitchman
- Margaret and Wallace McCain Centre for Child, Youth and Family Mental Health, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Ontario, Canada
| | - James L Kennedy
- Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Ontario, Canada
| | - Yona Lunsky
- Azrieli Adult Neurodevelopmental Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Ontario, Canada
| | - Pushpal Desarkar
- Azrieli Adult Neurodevelopmental Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Ontario, Canada.,Adult Neurodevelopmental Services, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Daniel J Müller
- Tanenbaum Centre for Pharmacogenetics, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Ontario, Canada
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8
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Yuan D, Zhang M, Huang Y, Wang X, Jiao J, Huang Y. Noradrenergic genes polymorphisms and response to methylphenidate in children with ADHD: A systematic review and meta-analysis. Medicine (Baltimore) 2021; 100:e27858. [PMID: 34797323 PMCID: PMC8601359 DOI: 10.1097/md.0000000000027858] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 11/03/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Attention-deficit hyperactivity disorder (ADHD) is the most common childhood-onset neurodevelopmental disorder, and methylphenidate (MPH) is considered one of the first-line medicine for ADHD. Unfortunately, this medication is only effective for some children with ADHD. This meta-analysis was conducted to evaluate whether noradrenergic gene polymorphisms impact the efficacy of MPH in children with ADHD. METHODS Candidate gene studies published in English until March 1, 2020, were identified through literature searches on PubMed, Web of Science, and Embase. Data were pooled from individual clinical trials considering MPH pharmacogenomics. According to the heterogeneity, the odds ratio and mean differences were calculated by applying fixed-effects or random-effects models. RESULTS This meta-analysis includes 15 studies and 1382 patients. Four polymorphisms of the NET gene (rs5569, rs28386840, rs2242446, rs3785143) and 2 polymorphisms of the α2A-adrenergic receptor gene (ADRA2A) gene (MspI and DraI) were selected for the analysis. In the pooled data from all studies, T allele carriers of the rs28386840 polymorphism were significantly more likely to respond to MPH (P < .001, ORTcarriers = 2.051, 95% confidence interval [CI]:1.316, 3.197) and showed a relationship with significantly greater hyperactive-impulsive symptoms improvement (P < .001, mean difference:1.70, 95% CI:0.24, 3.16). None of the ADRA2A polymorphisms correlated significantly with MPH response as a whole. However, G allele carriers of the MspI polymorphism showed a relationship with significantly inattention symptoms improvement (P < .001, mean difference:0.31, 95% CI: 0.15, 0.47). CONCLUSION Our meta-analysis results indicate that the noradrenergic gene polymorphisms may impact MPH response. The NET rs28386840 is linked to improved MPH response in ADHD children. And the ADRA2A MspI is associated with inattention symptom improvements. Further investigations with larger samples will be needed to confirm these results.Registration: PROSPERO (no. CRD42021265830).
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Affiliation(s)
- Danfeng Yuan
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Manxue Zhang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yan Huang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xinwei Wang
- Crestwood Preparatory College, Toronto, Canada
| | - Jian Jiao
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yi Huang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
- Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Brain Research Center, West China Hospital of Sichuan University, Chengdu, China
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9
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Martínez-Pinteño A, Gassó P, Prohens L, Segura AG, Parellada M, Saiz-Ruiz J, Cuesta MJ, Bernardo M, Lafuente A, Mas S, Rodríguez N. Identification of EP300 as a Key Gene Involved in Antipsychotic-Induced Metabolic Dysregulation Based on Integrative Bioinformatics Analysis of Multi-Tissue Gene Expression Data. Front Pharmacol 2021; 12:729474. [PMID: 34483940 PMCID: PMC8414590 DOI: 10.3389/fphar.2021.729474] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 08/04/2021] [Indexed: 11/15/2022] Open
Abstract
Antipsychotics (APs) are associated with weight gain and other metabolic abnormalities such as hyperglycemia, dyslipidemia and metabolic syndrome. This translational study aimed to uncover the underlying molecular mechanisms and identify the key genes involved in AP-induced metabolic effects. An integrative gene expression analysis was performed in four different mouse tissues (striatum, liver, pancreas and adipose) after risperidone or olanzapine treatment. The analytical approach combined the identification of the gene co-expression modules related to AP treatment, gene set enrichment analysis and protein-protein interaction network construction. We found several co-expression modules of genes involved in glucose and lipid homeostasis, hormone regulation and other processes related to metabolic impairment. Among these genes, EP300, which encodes an acetyltransferase involved in transcriptional regulation, was identified as the most important hub gene overlapping the networks of both APs. Then, we explored the genetically predicted EP300 expression levels in a cohort of 226 patients with first-episode psychosis who were being treated with APs to further assess the association of this gene with metabolic alterations. The EP300 expression levels were significantly associated with increases in body weight, body mass index, total cholesterol levels, low-density lipoprotein cholesterol levels and triglyceride concentrations after 6 months of AP treatment. Taken together, our analysis identified EP300 as a key gene in AP-induced metabolic abnormalities, indicating that the dysregulation of EP300 function could be important in the development of these side effects. However, more studies are needed to disentangle the role of this gene in the mechanism of action of APs.
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Affiliation(s)
- Albert Martínez-Pinteño
- Department of Basic Clinical Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Patricia Gassó
- Department of Basic Clinical Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Llucia Prohens
- Department of Basic Clinical Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Alex G Segura
- Department of Basic Clinical Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain
| | - Mara Parellada
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, School of Medicine, Universidad Complutense, IiSGM, Madrid, Spain
| | - Jerónimo Saiz-Ruiz
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Psychiatry, Hospital Universitario Ramón y Cajal, IRYCIS, Universidad de Alcalá, Madrid, Spain
| | - Manuel J Cuesta
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Department of Psychiatry, Complejo Hospitalario de Navarra, Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Miguel Bernardo
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain.,Barcelona Clínic Schizophrenia Unit, Hospital Clínic de Barcelona, Barcelona, Spain.,Department of Medicine, University of Barcelona, Barcelona, Spain
| | - Amalia Lafuente
- Department of Basic Clinical Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Sergi Mas
- Department of Basic Clinical Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain.,Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Instituto de Salud Carlos III, Madrid, Spain
| | - Natalia Rodríguez
- Department of Basic Clinical Practice, Pharmacology Unit, University of Barcelona, Barcelona, Spain
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10
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Islam F, Men X, Yoshida K, Zai CC, Müller DJ. Pharmacogenetics-Guided Advances in Antipsychotic Treatment. Clin Pharmacol Ther 2021; 110:582-588. [PMID: 34129738 DOI: 10.1002/cpt.2339] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2021] [Accepted: 05/27/2021] [Indexed: 12/15/2022]
Abstract
Pharmacogenetics (PGx) research over the past 2 decades has produced extensive evidence for the influence of genetic factors on the efficacy and tolerability of antipsychotic treatment. However, the application of these findings to optimize treatment outcomes for patients in clinical practice has been limited. This paper presents a meta-review of key PGx findings related to antipsychotic response and common adverse effects, including antipsychotic-induced weight gain, tardive dyskinesia (TD), and clozapine-induced agranulocytosis (CIAG), and highlights advances and challenges in clinical implementation. Most robust findings from candidate gene and genomewide association studies were reported for associations between polymorphisms in CYP2D6 and exposure and response to specific antipsychotics. As a result, product labels and guidelines from various PGx expert groups have provided selection and dosing recommendations based on CYP2D6 metabolizer phenotypes for commonly prescribed antipsychotics. Other interesting genetic targets include DRD2 for antipsychotic response, SLC18A2 for TD, and the human leukocyte antigen (HLA) genes, HLA-DQB1 and HLA-B, for CIAG. Well-designed studies using large, well-characterized samples that leverages international collaborations are needed to validate previous findings, as well as discover new genetic variants involved in antipsychotic response and adverse effects.
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Affiliation(s)
- Farhana Islam
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Xiaoyu Men
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada
| | - Kazunari Yoshida
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Azrieli Adult Neurodevelopmental Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Clement C Zai
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada.,Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.,Laboratory Medicine and Pathobiology, University of Toronto, Ontario, Canada.,Stanley Center for Psychiatric Research, Broad Institute, Cambridge, Massachusetts, USA.,Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Daniel J Müller
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.,Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada.,Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
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11
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Dyar B, Meaddough E, Sarasua SM, Rogers C, Phelan K, Boccuto L. Genetic Findings as the Potential Basis of Personalized Pharmacotherapy in Phelan-McDermid Syndrome. Genes (Basel) 2021; 12:1192. [PMID: 34440366 PMCID: PMC8392667 DOI: 10.3390/genes12081192] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 07/26/2021] [Accepted: 07/29/2021] [Indexed: 12/13/2022] Open
Abstract
Phelan-McDermid syndrome (PMS) is a genetic disorder often characterized by autism or autistic-like behavior. Most cases are associated with haploinsufficiency of the SHANK3 gene resulting from deletion of the gene at 22q13.3 or from a pathogenic variant in the gene. Treatment of PMS often targets SHANK3, yet deletion size varies from <50 kb to >9 Mb, potentially encompassing dozens of genes and disrupting regulatory elements altering gene expression, inferring the potential for multiple therapeutic targets. Repurposed drugs have been used in clinical trials investigating therapies for PMS: insulin-like growth factor 1 (IGF-1) for its effect on social and aberrant behaviors, intranasal insulin for improvements in cognitive and social ability, and lithium for reversing regression and stabilizing behavior. The pharmacogenomics of PMS is complicated by the CYP2D6 enzyme which metabolizes antidepressants and antipsychotics often used for treatment. The gene coding for CYP2D6 maps to 22q13.2 and is lost in individuals with deletions larger than 8 Mb. Because PMS has diverse neurological and medical symptoms, many concurrent medications may be prescribed, increasing the risk for adverse drug reactions. At present, there is no single best treatment for PMS. Approaches to therapy are necessarily complex and must target variable behavioral and physical symptoms of PMS.
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Affiliation(s)
- Brianna Dyar
- Healthcare Genetics Program, School of Nursing, Clemson University, Clemson, SC 29634, USA; (B.D.); (E.M.); (S.M.S.)
| | - Erika Meaddough
- Healthcare Genetics Program, School of Nursing, Clemson University, Clemson, SC 29634, USA; (B.D.); (E.M.); (S.M.S.)
| | - Sara M. Sarasua
- Healthcare Genetics Program, School of Nursing, Clemson University, Clemson, SC 29634, USA; (B.D.); (E.M.); (S.M.S.)
| | | | - Katy Phelan
- Florida Cancer Specialists & Research Institute, Fort Myers, FL 33905, USA;
| | - Luigi Boccuto
- Healthcare Genetics Program, School of Nursing, Clemson University, Clemson, SC 29634, USA; (B.D.); (E.M.); (S.M.S.)
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12
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Association of CNR1 and INSIG2 polymorphisms with antipsychotics-induced weight gain: a prospective nested case-control study. Sci Rep 2021; 11:15304. [PMID: 34315947 PMCID: PMC8316361 DOI: 10.1038/s41598-021-94700-9] [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: 04/23/2021] [Accepted: 07/07/2021] [Indexed: 02/07/2023] Open
Abstract
Weight gain is a frequent and severe adverse reaction in patients taking antipsychotics. The objective was to further investigate in a natural setting influential risk factors associated with clinically significant weight gain. An observational follow-up study was conducted. Patients when initiating treatment with whatever antipsychotic were included; a structured questionnaire was applied at baseline, 3 and 6 months later; a blood sample was obtained. In a nested case-control approach, patients with an increase ≥ 7% of their initial weight were considered as cases, the remaining, as controls. The results showed that, out of 185 patients, 137 completed the 6-month follow-up (cases, 38; controls, 99). Weight gain gradually and significantly increased in cases (baseline, 65.0 kg; 6 months, 74.0 kg) but not in controls (65.6 kg and 65.8 kg, respectively). Age (adjusted OR = 0.97, 95% CI = 0.96-0.99, p = 0.004), olanzapine (adjusted OR = 2.98, 95% CI = 1.13-7.80, p = 0.027) and quetiapine (adjusted OR = 0.25, 95% = 0.07-0.92, p = 0.037) significantly associated with weight gain. An association was also found for the CNR1 (rs1049353) and INSIG2 (rs7566605) polymorphisms. In conclusion, an increased risk of antipsychotics-induced weight gain was observed for younger age and olanzapine, and a relative lower risk for quetiapine. A potential role of CNR1 rs1049353 and INSIG2 rs7566605 polymorphisms is suggested.
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13
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Koller D, Almenara S, Mejía G, Saiz-Rodríguez M, Zubiaur P, Román M, Ochoa D, Navares-Gómez M, Santos-Molina E, Pintos-Sánchez E, Abad-Santos F. Metabolic Effects of Aripiprazole and Olanzapine Multiple-Dose Treatment in a Randomised Crossover Clinical Trial in Healthy Volunteers: Association with Pharmacogenetics. Adv Ther 2021; 38:1035-1054. [PMID: 33278020 PMCID: PMC7889573 DOI: 10.1007/s12325-020-01566-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 11/07/2020] [Indexed: 12/11/2022]
Abstract
Introduction Aripiprazole and olanzapine are atypical antipsychotics. Both drugs can induce metabolic changes; however, the metabolic side effects produced by aripiprazole are more benign. The aim of the study was to evaluate if aripiprazole and olanzapine alter prolactin levels, lipid and glucose metabolism and hepatic, haematological, thyroid and renal function. Methods Twenty-four healthy volunteers received a daily oral dose of 10 mg aripiprazole and 5 mg olanzapine tablets for 5 days in a crossover randomised clinical trial and were genotyped for 51 polymorphisms in 18 genes by qPCR. Drug plasma concentrations were measured by LC–MS. The biochemical and haematological analyses were performed by enzymatic methods. Results Olanzapine induced hyperprolactinaemia but aripiprazole did not. Dopamine D3 receptor (DRD3) Ser/Gly and ATP binding cassette subfamily B member 1 (ABCB1) rs10280101, rs12720067 and rs11983225 polymorphisms and cytochrome P450 3A (CYP3A) phenotype had an impact on plasma prolactin levels. C-peptide concentrations were higher after aripiprazole administration and were influenced by catechol-O-methyltransferase (COMT) rs4680 and rs13306278 polymorphisms. Olanzapine and the UDP glucuronosyltransferase family 1 member A1 (UGT1A1) rs887829 polymorphism were associated with elevated glucose levels. CYP3A poor metabolizers had increased insulin levels. Volunteers’ weight decreased significantly during aripiprazole treatment and a tendency for weight gain was observed during olanzapine treatment. Triglyceride concentrations decreased as a result of olanzapine and aripiprazole treatment, and varied on the basis of CYP3A phenotypes and the apolipoprotein C-III (APOC3) rs4520 genotype. Cholesterol levels were also decreased and depended on 5-hydroxytryptamine receptor 2A (HTR2A) rs6314 polymorphism. All hepatic enzymes, platelet and albumin levels, and prothrombin time were altered during both treatments. Additionally, olanzapine reduced the leucocyte count, aripiprazole increased free T4 and both decreased uric acid concentrations. Conclusions Short-term treatment with aripiprazole and olanzapine had a significant influence on the metabolic parameters. However, it seems that aripiprazole provokes less severe metabolic changes. Trial Registration Clinical trial registration number (EUDRA-CT): 2018-000744-26 Graphical Abstract ![]()
Electronic Supplementary Material The online version of this article (10.1007/s12325-020-01566-w) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Dora Koller
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Susana Almenara
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Gina Mejía
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
- UICEC Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Miriam Saiz-Rodríguez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
- Research Unit, Fundación Burgos Por La Investigación de La Salud, Hospital Universitario de Burgos, Burgos, Spain
| | - Pablo Zubiaur
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Manuel Román
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
- UICEC Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Dolores Ochoa
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
- UICEC Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Marcos Navares-Gómez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Elena Santos-Molina
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
- UICEC Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Elena Pintos-Sánchez
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
- UICEC Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain
| | - Francisco Abad-Santos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, School of Medicine, Universidad Autónoma de Madrid, Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain.
- UICEC Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, Spain.
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14
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Maruf AA, Stein K, Arnold PD, Aitchison KJ, Müller DJ, Bousman C. CYP2D6 and Antipsychotic Treatment Outcomes in Children and Youth: A Systematic Review. J Child Adolesc Psychopharmacol 2021; 31:33-45. [PMID: 33074724 DOI: 10.1089/cap.2020.0093] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Objective: To systematically review the impact of CYP2D6 genetic variation on antipsychotic pharmacokinetics, efficacy, and adverse drug reactions among children and youth. Method: The published literature was systematically searched in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses recommendations and critically evaluated using standardized tools and consensus criteria. Results: A total of 20 eligible studies comprising 1078 children and youth were evaluated. The included studies were of fair to moderate quality and included mostly males, individuals of European ancestry, and those treated with risperidone. CYP2D6 poor metabolizers (PMs) were consistently shown to have increased concentrations of risperidone relative to normal metabolizers (NMs). PMs were also consistently shown to have a greater propensity to experience antipsychotic (primarily risperidone) associated adverse drug reactions relative to NMs. However, robust evidence for an association between CYP2D6 and efficacy was less apparent. Conclusion and Clinical Significance: The current knowledge base suggests that CYP2D6 genetic variation has an appreciable impact on antipsychotic pharmacokinetics and the propensity for adverse drug reactions, particularly among children receiving risperidone treatment. However, several limitations with the current literature (e.g., sample sizes, study design, sample heterogeneity) should be addressed in future studies. Assuming that future studies support the link between CYP2D6 genetic variation and antipsychotic outcomes, we would anticipate an increase in the implementation of CYP2D6-guided antipsychotic drug selection and dose optimization in child and adolescent psychiatric services.
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Affiliation(s)
- Abdullah Al Maruf
- The Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada.,Department of Psychiatry, University of Calgary, Calgary, Canada.,Department of Physiology and Pharmacology, University of Calgary, Calgary, Canada
| | - Kiera Stein
- Department of Medical Genetics, University of Calgary, Calgary, Canada
| | - Paul D Arnold
- The Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada.,Department of Psychiatry, University of Calgary, Calgary, Canada.,Department of Medical Genetics, University of Calgary, Calgary, Canada
| | - Katherine J Aitchison
- Departments of Psychiatry and Medical Genetics, University of Alberta, Edmonton, Canada.,Neuroscience and Mental Health Institute, University of Alberta, Edmonton, Canada
| | - Daniel J Müller
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Chad Bousman
- The Mathison Centre for Mental Health Research and Education, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada.,Department of Psychiatry, University of Calgary, Calgary, Canada.,Department of Medical Genetics, University of Calgary, Calgary, Canada.,Alberta Children's Hospital Research Institute, University of Calgary, Calgary, Canada
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15
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Towards personalized pharmacology: Antipsychotics and schizophrenia. Therapie 2021; 76:137-147. [PMID: 33423786 DOI: 10.1016/j.therap.2020.12.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 11/09/2020] [Indexed: 12/23/2022]
Abstract
Since the discovery of the first antipsychotic in 1952, many antipsychotic drugs have been developed, each with different pharmacokinetic and pharmacodynamic properties. The pharmacological heterogeneity of antipsychotic drugs should allow a personalized drug prescription adapted to the different clinical picture of schizophrenia. Schizophrenia is a chronic disease, during which 3 stages of pharmacological intervention can be identified: the first episode psychotic (FEP), the phase of therapeutic stabilization that can progress to situations of resistance, and the question of long-term prescription. During FEP, the choice of the first antipsychotic treatment seems to be underpinned by its safety profile in relation to the patient for whom it is prescribed, according to the adage start low and go-slow. The therapeutic stabilization phase is based on treatment optimization through a rigorous evaluation of the benefits-harm balance, with the use of tools such as personalized therapeutic drug monitoring and pharmacogenetics. Generally speaking, while some antipsychotic drugs seem to present a more favorable efficacy profile in certain situations, the differences are small, whereas the differences in safety are more important and should be considered in the first line. Individual factors such as the presence of co-morbidities, as well as previously experienced treatments must also be taken into account. Finally, the question of maintaining the prescription of antipsychotic drugs over the long term arises in view of the iatrogenic risk with controversial current data. Overall, the personalized prescription of antipsychotic drugs in schizophrenia remains limited by a lack of data in the literature, justifying the development of clinical studies in this field. But at present, the dogma remains that of primum non nocere.
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16
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Perspectives in Psychopharmacology. FOCUS (AMERICAN PSYCHIATRIC PUBLISHING) 2021; 19:71-72. [PMID: 34483772 PMCID: PMC8412152 DOI: 10.1176/appi.focus.19106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
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17
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Zammarchi G, Del Zompo M, Squassina A, Pisanu C. Increasing engagement in pharmacology and pharmacogenetics education using games and online resources: The PharmacoloGenius mobile app. Drug Dev Res 2020; 81:985-993. [PMID: 32633017 DOI: 10.1002/ddr.21714] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Revised: 06/15/2020] [Accepted: 06/16/2020] [Indexed: 12/31/2022]
Abstract
Mobile applications represent useful instruments to convey information and engage the users even during traveling, thanks to the wide diffusion of smartphones, tablets, smartwatches, and similar devices. As such, they have high potential as learning tools that can act complementary to traditional teaching approaches. In the field of pharmacology, mobile applications are increasingly being used to improve adherence of patients or to help them report suspect adverse drug reactions. However, they have been scarcely applied to pharmacology education. In this article, we present PharmacoloGenius, a free Android mobile application integrating resources useful for students as well as healthcare professionals or researchers to expand knowledge on pharmacological topics. We gave particular emphasis to pharmacogenetics, as it is a fundamental tool to achieve personalized treatment. The application offers original games such as pharmacological trivia based on textbooks or special "journal club" trivia based on research articles conveying the state of the art on specific topics. Additionally, the app offers a curated list of online resources to study pharmacology and pharmacogenetics (e.g., free online courses, videos, and databases) as well as updated news on conferences, grants, and opportunities for pharmacologists. In conclusion, PharmacoloGenius aims to be a useful instrument for people interested in expanding their knowledge on pharmacology in an engaging way.
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Affiliation(s)
- Gianpaolo Zammarchi
- Department of Economics and Business Science, University of Cagliari, Cagliari, Italy
| | - Maria Del Zompo
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Alessio Squassina
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
| | - Claudia Pisanu
- Department of Biomedical Sciences, University of Cagliari, Cagliari, Italy
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18
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Bousman CA, Bengesser SA, Aitchison KJ, Amare AT, Aschauer H, Baune BT, Asl BB, Bishop JR, Burmeister M, Chaumette B, Chen LS, Cordner ZA, Deckert J, Degenhardt F, DeLisi LE, Folkersen L, Kennedy JL, Klein TE, McClay JL, McMahon FJ, Musil R, Saccone NL, Sangkuhl K, Stowe RM, Tan EC, Tiwari AK, Zai CC, Zai G, Zhang J, Gaedigk A, Müller DJ. Review and Consensus on Pharmacogenomic Testing in
Psychiatry. PHARMACOPSYCHIATRY 2020; 54:5-17. [DOI: 10.1055/a-1288-1061] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
AbstractThe implementation of pharmacogenomic (PGx) testing in psychiatry remains modest,
in part due to divergent perceptions of the quality and completeness of the
evidence base and diverse perspectives on the clinical utility of PGx testing
among psychiatrists and other healthcare providers. Recognizing the current lack
of consensus within the field, the International Society of Psychiatric Genetics
assembled a group of experts to conduct a narrative synthesis of the PGx
literature, prescribing guidelines, and product labels related to psychotropic
medications as well as the key considerations and limitations related to the use
of PGx testing in psychiatry. The group concluded that to inform medication
selection and dosing of several commonly-used antidepressant and antipsychotic
medications, current published evidence, prescribing guidelines, and product
labels support the use of PGx testing for 2 cytochrome P450 genes (CYP2D6,
CYP2C19). In addition, the evidence supports testing for human leukocyte
antigen genes when using the mood stabilizers carbamazepine (HLA-A and
HLA-B), oxcarbazepine (HLA-B), and phenytoin (CYP2C9, HLA-B). For
valproate, screening for variants in certain genes (POLG, OTC, CSP1) is
recommended when a mitochondrial disorder or a urea cycle disorder is suspected.
Although barriers to implementing PGx testing remain to be fully resolved, the
current trajectory of discovery and innovation in the field suggests these
barriers will be overcome and testing will become an important tool in
psychiatry.
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Affiliation(s)
- Chad A. Bousman
- Departments of Medical Genetics, Psychiatry, Physiology &
Pharmacology, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, Cumming School of Medicine, University of
Calgary, Calgary, AB, Canada
- Alberta Children’s Hospital Research Institute, Calgary, AB,
Canada
- Department of Psychiatry, Melbourne Medical School, The University of
Melbourne, Melbourne, VIC, Australia
| | - Susanne A. Bengesser
- Department of Psychiatry and Psychotherapeutic Medicine, Medical
University of Graz, Austria
| | - Katherine J. Aitchison
- Departments of Psychiatry, Medical Genetics and the Neuroscience and
Mental Health Institute, University of Alberta, Edmonton, AB,
Canada
| | - Azmeraw T. Amare
- Discipline of Psychiatry, School of Medicine, University of Adelaide,
Adelaide, SA, Australia
- South Australian Health and Medical Research Institute (SAHMRI),
Adelaide, SA, Australia
| | - Harald Aschauer
- Biopsychosocial Corporation (BioPsyC), non-profit association, Vienna,
Austria
| | - Bernhard T. Baune
- Department of Psychiatry and Psychotherapy, University of
Münster, Germany
- Department of Psychiatry, Melbourne Medical School, The University of
Melbourne, Melbourne, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, The University
of Melbourne, Parkville, VIC, Australia
| | - Bahareh Behroozi Asl
- Departments of Psychiatry, Medical Genetics and the Neuroscience and
Mental Health Institute, University of Alberta, Edmonton, AB,
Canada
| | - Jeffrey R. Bishop
- Department of Experimental and Clinical Pharmacology, University of
Minnesota College of Pharmacy and Department of Psychiatry, University of
Minnesota Medical School, Minneapolis, MN, USA
| | - Margit Burmeister
- Michigan Neuroscience Institute and Departments of Computational
Medicine & Bioinformatics, Human Genetics and Psychiatry, The University
of Michigan, Ann Arbor MI, USA
| | - Boris Chaumette
- Institute of Psychiatry and Neuroscience of Paris, GHU Paris
Psychiatrie & Neurosciences, University of Paris, Paris,
France
- Department of Psychiatry, McGill University, Montreal,
Canada
| | - Li-Shiun Chen
- Departments of Psychiatry and Genetics, Washington University School of
Medicine in St. Louis, USA
| | - Zachary A. Cordner
- Department of Psychiatry & Behavioral Sciences, Johns Hopkins
University School of Medicine, Baltimore, MD, USA
| | - Jürgen Deckert
- Department of Psychiatry, Psychosomatics and Psychotherapy, Center of
Mental Health, Würzburg, Germany
| | - Franziska Degenhardt
- Institute of Human Genetics, University of Bonn, School of Medicine
& University Hospital Bonn, Bonn, Germany
- Department of Child and Adolescent Psychiatry, Psychosomatics and
Psychotherapy, University Hospital Essen, University of Duisburg-Essen,
Duisburg, Germany
| | - Lynn E. DeLisi
- Department of Psychiatry, Harvard Medical School, Cambridge Health
Alliance, Cambridge, Massachusetts, USA
| | - Lasse Folkersen
- Institute of Biological Psychiatry, Capital Region Hospitals,
Copenhagen, Denmark
| | - James L. Kennedy
- Department of Psychiatry, University of Toronto, Toronto, Ontario,
Canada
- Centre for Addiction and Mental Health, University of Toronto, Toronto,
Ontario, Canada
| | - Teri E. Klein
- Department of Biomedical Data Science, Stanford University, Stanford,
California, USA
| | - Joseph L. McClay
- Department of Pharmacotherapy and Outcome Science, Virginia
Commonwealth University School of Pharmacy, Richmond, VA, USA
| | - Francis J. McMahon
- Human Genetics Branch, National Institute of Mental Health, Bethesda,
MD, USA
| | - Richard Musil
- Department of Psychiatry and Psychotherapy,
Ludwig-Maximilians-University, Munich, Germany
| | - Nancy L. Saccone
- Departments of Psychiatry and Genetics, Washington University School of
Medicine in St. Louis, USA
| | - Katrin Sangkuhl
- Department of Biomedical Data Science, Stanford University, Stanford,
California, USA
| | - Robert M. Stowe
- Departments of Psychiatry and Neurology (Medicine), University of
British Columbia, USA
| | - Ene-Choo Tan
- KK Research Centre, KK Women’s and Children’s Hospital,
Singapore, Singapore
| | - Arun K. Tiwari
- Department of Psychiatry, University of Toronto, Toronto, Ontario,
Canada
- Centre for Addiction and Mental Health, University of Toronto, Toronto,
Ontario, Canada
| | - Clement C. Zai
- Department of Psychiatry, University of Toronto, Toronto, Ontario,
Canada
- Centre for Addiction and Mental Health, University of Toronto, Toronto,
Ontario, Canada
| | - Gwyneth Zai
- Department of Psychiatry, University of Toronto, Toronto, Ontario,
Canada
- Centre for Addiction and Mental Health, University of Toronto, Toronto,
Ontario, Canada
| | - Jianping Zhang
- Department of Psychiatry, Weill Cornell Medical College, New
York-Presbyterian Westchester Division, White Plains, NY, USA
| | - Andrea Gaedigk
- Division of Clinical Pharmacology, Toxicology & Therapeutic
Innovation, Children’s Mercy Kansas City, Kansas City and School of
Medicine, University of Missouri-Kansas City, Kansas City, MO, USA
| | - Daniel J Müller
- Department of Psychiatry, University of Toronto, Toronto, Ontario,
Canada
- Centre for Addiction and Mental Health, University of Toronto, Toronto,
Ontario, Canada
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19
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Krzystanek M, Asman M, Witecka J, Pałasz A, Wiaderkiewicz R. Selected single-nucleotide variants in GRIN1, GRIN2A, and GRIN2B encoding subunits of the NMDA receptor are not biomarkers of schizophrenia resistant to clozapine: exploratory study. Pharmacol Rep 2020; 73:309-315. [PMID: 33025395 PMCID: PMC7862503 DOI: 10.1007/s43440-020-00165-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Revised: 09/17/2020] [Accepted: 09/23/2020] [Indexed: 12/04/2022]
Abstract
Background Schizophrenia is a common mental illness whose pathogenesis is still unknown. The vulnerability and stress model in schizophrenia assume that susceptibility to the disease is mainly associated with genes. Of the five symptomatic dimensions of schizophrenia, cognitive impairment appears to be most associated with the pathogenesis of schizophrenia. The aim of the study was to explore whether selected nucleotide variants in GRIN1, GRIN2A, and GRIN2B encoding subunits of the N-methyl-d-aspartate receptor (NMDA-R) receptor occur in a selected group of patients with treatment resistant schizophrenia with cognitive impairment. Methods The study included 45 patients diagnosed with super refractory schizophrenia, all with cognitive deficits and chronically psychotic. DNA fragments including the studied polymorphisms of the NMDA receptors subunit genes were amplified by polymerase chain reaction and subjected to sequencing. Results The study did not confirm the presence of any of the four selected single-nucleotide variants in GRIN1, GRIN2A, and GRIN2B subunits of NMDA-R in the study group. Conclusion Results of the study indicated that the selected single-nucleotide variants are not associated both with resistance to clozapine and the presence of cognitive deficits in schizophrenia. It is possible, however, that a more extensive sequencing along with analyzing the expression of these genes may reveal different single-nucleotide variants than those assumed in the study.
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Affiliation(s)
- Marek Krzystanek
- Department and Clinic of Psychiatric Rehabilitation, Department of Psychiatry and Psychotherapy, Faculty of Medical Sciences, Medical University of Silesia in Katowice, Ziołowa 45/47, 40-635, Katowice, Poland.
| | - Marek Asman
- Department of Parasitology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, Jedności 8, 41-200, Sosnowiec, Poland
| | - Joanna Witecka
- Department of Parasitology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, Jedności 8, 41-200, Sosnowiec, Poland
| | - Artur Pałasz
- Department of Histology, Faculty of Medical Sciences, Medical University of Silesia in Katowice, Medyków 18, 40-752, Katowice, Poland
| | - Ryszard Wiaderkiewicz
- Department of Histology, Faculty of Medical Sciences, Medical University of Silesia in Katowice, Medyków 18, 40-752, Katowice, Poland
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20
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Nikolac Perkovic M, Sagud M, Zivkovic M, Uzun S, Nedic Erjavec G, Kozumplik O, Svob Strac D, Mimica N, Mihaljevic Peles A, Pivac N. Catechol-O-methyltransferase rs4680 and rs4818 haplotype association with treatment response to olanzapine in patients with schizophrenia. Sci Rep 2020; 10:10049. [PMID: 32572118 PMCID: PMC7308339 DOI: 10.1038/s41598-020-67351-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 05/05/2020] [Indexed: 12/22/2022] Open
Abstract
Antipsychotic drugs target primarily dopaminergic system which makes catechol-O-methyltransferase (COMT) an interesting target in studies searching for treatment response predictors in schizophrenia. The study assessed the association of the COMT rs4680 and rs4818 polymorphisms with therapeutic response to olanzapine, risperidone, clozapine or other antipsychotic medication after 8 weeks of monotherapy in patients with schizophrenia. 521 Caucasian patients with schizophrenia received a monotherapy with olanzapine (10–20 mg/day; N = 190), risperidone (3–6 mg/day; N = 99), or clozapine (100–500 mg/day; N = 102). The fourth group (N = 130) consisted of patients receiving haloperidol (3–15 mg/day), fluphenazine (4–25 mg/day) or quetiapine (50–800 mg/day). Treatment response was defined as a 50% reduction from the baseline positive and negative syndrome scale (PANSS) total and subscale scores, but also as an observed percentage reduction from the initial PANSS0–6 total and subscale scores. Carriers of the COMT rs4680 A allele and carriers of the COMT rs4680–rs4818 C-A haplotype block had greater reduction in the PANSS total scores following olanzapine treatment, compared to carriers of the COMT rs4680 GG genotype and other COMT rs4680–rs4818 haplotypes. The COMT rs4680 A allele, and COMT rs4680–rs4818 C-A haplotype, were significantly associated with therapeutic response in patients treated with olanzapine, but not in patients treated with other antipsychotics.
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Affiliation(s)
- Matea Nikolac Perkovic
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, 10000, Zagreb, Croatia
| | - Marina Sagud
- University Hospital Center Zagreb, Kispaticeva 12, 10000, Zagreb, Croatia.,School of Medicine, University of Zagreb, Salata 3, 10000, Zagreb, Croatia
| | - Maja Zivkovic
- University Hospital Center Zagreb, Kispaticeva 12, 10000, Zagreb, Croatia
| | - Suzana Uzun
- Department of General Psychiatry, University Psychiatric Hospital Vrapce, Bolnicka cesta 32, 10000, Zagreb, Croatia.,Faculty of Medicine, Josip Juraj Strossmayer University, Josipa Huttlera 4, 31000, Osijek, Croatia
| | - Gordana Nedic Erjavec
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, 10000, Zagreb, Croatia
| | - Oliver Kozumplik
- Department of General Psychiatry, University Psychiatric Hospital Vrapce, Bolnicka cesta 32, 10000, Zagreb, Croatia.,Faculty of Medicine, Josip Juraj Strossmayer University, Josipa Huttlera 4, 31000, Osijek, Croatia
| | - Dubravka Svob Strac
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, 10000, Zagreb, Croatia
| | - Ninoslav Mimica
- School of Medicine, University of Zagreb, Salata 3, 10000, Zagreb, Croatia.,Department of General Psychiatry, University Psychiatric Hospital Vrapce, Bolnicka cesta 32, 10000, Zagreb, Croatia
| | - Alma Mihaljevic Peles
- University Hospital Center Zagreb, Kispaticeva 12, 10000, Zagreb, Croatia.,School of Medicine, University of Zagreb, Salata 3, 10000, Zagreb, Croatia
| | - Nela Pivac
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, 10000, Zagreb, Croatia.
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