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Kee PS, Maggo SDS, Kennedy MA, Chin PKL. The pharmacogenetics of CYP2D6 and CYP2C19 in a case series of antidepressant responses. Front Pharmacol 2023; 14:1080117. [PMID: 36895946 PMCID: PMC9988947 DOI: 10.3389/fphar.2023.1080117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 02/08/2023] [Indexed: 02/23/2023] Open
Abstract
Pharmacogenetics has potential for optimizing use of psychotropics. CYP2D6 and CYP2C19 are two clinically relevant pharmacogenes in the prescribing of antidepressants. Using cases recruited from the Understanding Drug Reactions Using Genomic Sequencing (UDRUGS) study, we aimed to evaluate the clinical utility of genotyping CYP2D6 and CYP2C19 in antidepressant response. Genomic and clinical data for patients who were prescribed antidepressants for mental health disorders, and experienced adverse reactions (ADRs) or ineffectiveness, were extracted for analysis. Genotype-inferred phenotyping of CYP2D6 and CYP2C19 was carried out as per Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines. A total of 52 patients, predominantly New Zealand Europeans (85%) with a median age (range) of 36 years (15-73), were eligible for analysis. Thirty-one (60%) reported ADRs, 11 (21%) ineffectiveness, and 10 (19%) reported both. There were 19 CYP2C19 NMs, 15 IMs, 16 RMs, one PM and one UM. For CYP2D6, there were 22 NMs, 22 IMs, four PMs, three UMs, and one indeterminate. CPIC assigned a level to each gene-drug pair based on curated genotype-to-phenotype evidence. We analyzed a subgroup of 45 cases, inclusive of response type (ADRs/ineffectiveness). Seventy-nine (N = 37 for CYP2D6, N = 42 for CYP2C19) gene-drug/antidepressant-response pairs with CPIC evidence levels of A, A/B, or B were identified. Pairs were assigned as 'actionable' if the CYP phenotypes potentially contributed to the observed response. We observed actionability in 41% (15/37) of CYP2D6-antidepressant-response pairs and 36% (15/42) of CYP2C19-antidepressant-response pairs. In this cohort, CYP2D6 and CYP2C19 genotypes were actionable for a total of 38% pairs, consisting of 48% in relation to ADRs and 21% in relation to drug ineffectiveness.
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Affiliation(s)
- Ping Siu Kee
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Simran D S Maggo
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand.,Department of Pathology, Center for Personalized Medicine, Children's Hospital Los Angeles, Los Angeles, CA, United States
| | - Martin A Kennedy
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Paul K L Chin
- Department of Medicine, University of Otago, Christchurch, New Zealand.,Department of Clinical Pharmacology, Christchurch Hospital, Christchurch, New Zealand
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2
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Alvarado AT, Saravia M, Losno R, Pariona R, Muñoz AM, Ybañez-Julca RO, Loja B, Bendezú MR, García JA, Surco-Laos F, Laos-Anchante D, Chávez H, Aguilar P, Pineda M. CYP2D6 and CYP2C19 Genes Associated with Tricontinental and Latin American Ancestry of Pe-ruvians. DRUG METABOLISM AND BIOANALYSIS LETTERS 2022; 16:DMBL-EPUB-128245. [PMID: 36518034 PMCID: PMC10436705 DOI: 10.2174/1872312815666221213151140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 08/30/2022] [Accepted: 10/14/2022] [Indexed: 06/17/2023]
Abstract
Precision medicine seeks to individualize the dose from the beginning of phar-macological therapy based on the characteristics of each patient, genes involved in the metabolic phenotype, ethnicity or miscegenation, with the purpose to minimize adverse effects and optimize drug efficacy. The objective was to re-view studies that describe the association of the CYP2D6 and CYP2C19 genes with the tricontinental and Latin American ancestry of Peruvians. A biblio-graphic search was carried out in PubMed/Medline and SciELO, with various descriptors in Spanish and English. The results of this review confirm that the ethnic origin of Peruvians is triconti-nental due to European (mainly Spanish), African and Asian migration, in addi-tion to Latin American migration, being 60.2% mixed, 25.8% Amerindian, 5.9% white, 3.6% African descent, 1.2% Chinese and Japanese descent, and 3.3% unspecified. Studies on CYP2C19*3, CYP2D6*2, *3 and *6 have been reported in Peruvians, and the frequency is similar to that studied in Ecuadori-ans and Colombians. The CYP2C19*3, CYP2D6*3, and CYP2D6*6 alleles found in Peruvians are common in Europeans, Africans, and Asians; while CYP2D6*4 in Africans and CYP2D6*2 related to Asians. In some studies, the ethnic/gene association has not been demonstrated; while others have shown a significant association, which is why further investigation is warranted. It is concluded that the studies on CYP2D6 and CYP2C19 genes associated with the tricontinental and Latin American ancestry of Peruvians are little, and ac-cording to what has been investigated, the CYP2C19*3, CYP2D6*2, *3, *4 and *6 alleles have more related to their ancestry.
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Affiliation(s)
- Angel T. Alvarado
- International Research Network in Pharmacology and Precision Medicine, Human Medicine School, San Ignacio de Loyola University, USIL, Lima, 15024, Peru
- Latin American Network for the Implementation and Validation of Clinical Pharmacogenomics Guidelines (RELIVAF-CYTED), Madrid, 28001, Spain
| | - María Saravia
- International Research Network in Pharmacology and Precision Medicine, Human Medicine School, San Ignacio de Loyola University, USIL, Lima, 15024, Peru
| | - Ricardo Losno
- International Research Network in Pharmacology and Precision Medicine, Human Medicine School, San Ignacio de Loyola University, USIL, Lima, 15024, Peru
| | - Ricardo Pariona
- International Research Network in Pharmacology and Precision Medicine, Human Medicine School, San Ignacio de Loyola University, USIL, Lima, 15024, Peru
| | - Ana María Muñoz
- Institute of Food Science and Nutrition, ICAN, San Ignacio de Loyola University, USIL, Lima, 15024, Peru
| | - Roberto O. Ybañez-Julca
- Faculty of Pharmacy and Biochemistry, National University of Trujillo, Trujillo, 13001, Peru
| | - Berta Loja
- International Research Network in Pharmacology and Precision Medicine, Human Medicine School, San Ignacio de Loyola University, USIL, Lima, 15024, Peru
| | - María R. Bendezú
- Faculty of Pharmacy and Biochemistry, San Luis Gonzaga National University of Ica, Ica, 11001, Peru
| | - Jorge A. García
- Faculty of Pharmacy and Biochemistry, San Luis Gonzaga National University of Ica, Ica, 11001, Peru
| | - Felipe Surco-Laos
- Faculty of Pharmacy and Biochemistry, San Luis Gonzaga National University of Ica, Ica, 11001, Peru
| | - Doris Laos-Anchante
- Faculty of Pharmacy and Biochemistry, San Luis Gonzaga National University of Ica, Ica, 11001, Peru
| | - Haydee Chávez
- Faculty of Pharmacy and Biochemistry, San Luis Gonzaga National University of Ica, Ica, 11001, Peru
| | | | - Mario Pineda
- Pharmacy and Biochemistry, FCS, Scientific of the South University, UCSUR, Lima, 15067, Peru
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Hitchman LM, Faatoese A, Merriman TR, Miller AL, Liau Y, Graham OEE, Kee PS, Pearson JF, Fakahau T, Cameron VA, Kennedy MA, Maggo SDS. Allelic diversity of the pharmacogene CYP2D6 in New Zealand Māori and Pacific peoples. Front Genet 2022; 13:1016416. [DOI: 10.3389/fgene.2022.1016416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 09/26/2022] [Indexed: 11/13/2022] Open
Abstract
The enzyme cytochrome P450 2D6 (CYP2D6) metabolises approximately 25% of commonly prescribed drugs, including analgesics, anti-hypertensives, and anti-depressants, among many others. Genetic variation in drug metabolising genes can alter how an individual responds to prescribed drugs, including predisposing to adverse drug reactions. The majority of research on the CYP2D6 gene has been carried out in European and East Asian populations, with many Indigenous and minority populations, such as those from Oceania, greatly underrepresented. However, genetic variation is often population specific and analysis of diverse ethnic groups can reveal differences in alleles that may be of clinical significance. For this reason, we set out to examine the range and frequency of CYP2D6 variants in a sample of 202 Māori and Pacific people living in Aotearoa (New Zealand). We carried out long PCR to isolate the CYP2D6 region before performing nanopore sequencing to identify all variants and alleles in these samples. We identified twelve variants which have previously not been reported in the PharmVar CYP2D6 database, three of which were exonic missense variations. Six of these occurred in single samples and one was found in 19 samples (9.4% of the cohort). The remaining five variants were identified in two samples each. Identified variants formed twelve new CYP2D6 suballeles and four new star alleles, now recorded in the PharmVar database. One striking finding was that CYP2D6*71, an allele of uncertain functional status which has been rarely observed in previous studies, occurs at a relatively high frequency (8.9%) within this cohort. These data will help to ensure that CYP2D6 genetic analysis for pharmacogenetic purposes can be carried out accurately and effectively in this population group.
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Ricardo-Silgado ML, Singh S, Cifuentes L, Decker PA, Gonzalez-Izundegui D, Moyer AM, Hurtado MD, Camilleri M, Bielinski SJ, Acosta A. Association between CYP metabolizer phenotypes and selective serotonin reuptake inhibitors induced weight gain: a retrospective cohort study. BMC Med 2022; 20:261. [PMID: 35879764 PMCID: PMC9317126 DOI: 10.1186/s12916-022-02433-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 06/13/2022] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Prescription medications such as selective serotonin reuptake inhibitors (SSRIs), commonly used to treat depression, are associated with weight gain. The role of pharmacogenomics in predicting SSRI-induced weight gain is unclear. METHODS In this retrospective cohort study from participants in the Mayo Clinic RIGHT study who were prescribed citalopram, paroxetine, sertraline, or fluoxetine, our aim was to evaluate the association of metabolizer phenotype and total body weight after 6 months of SSRIs initiation. We evaluated the metabolizer phenotypes (poor/intermediate, normal, and rapid/ultra-rapid) of the cytochromes P450 enzymes genes: CYP2C9, CYP2C19, and CYP2D6 known to influence the metabolism of SSRI medications: CYP2C19 for citalopram, CYP2D6 for paroxetine, CYP2D6 and CYP2C19 for sertraline, and CYP2D6 and CYP2C9 fluoxetine. In addition, we assessed the association of metabolizer phenotype and total body weight change at six months following SSRI prescription using parametric analysis of covariance adjusted for baseline body weight and multivariate regression models. RESULTS CYP2C19 poor/intermediate metabolizers prescribed citalopram gained significantly more weight than normal or rapid/ultra-rapid metabolizers at 6 months (TBWG %: 2.6 [95% CI 1.3-4.1] vs. 0.4 [95% CI -0.5 - 1.3] vs. -0.1 [-95% CI -1.5-1.1]; p = 0.001). No significant differences in weight outcomes at six months of treatment with paroxetine, sertraline, or fluoxetine were observed by metabolizer status. CONCLUSIONS Weight gain observed with citalopram may be mediated by CYP2C19 metabolizer status.
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Affiliation(s)
- Maria L Ricardo-Silgado
- Precision Medicine for Obesity Program and Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Sneha Singh
- Precision Medicine for Obesity Program and Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Lizeth Cifuentes
- Precision Medicine for Obesity Program and Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Paul A Decker
- Division of Epidemiology, Department of Quantitative Health Research, Mayo Clinic, Rochester, MN, USA
| | - Daniel Gonzalez-Izundegui
- Precision Medicine for Obesity Program and Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Ann M Moyer
- Department of Laboratory Medicine and Pathology, Mayo Clinic College of Medicine and Science, Mayo Clinic, Rochester, MN, USA
| | - Maria D Hurtado
- Precision Medicine for Obesity Program and Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA.,Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Medicine, Mayo Clinic Health System, La Crosse, WI, USA
| | - Michael Camilleri
- Precision Medicine for Obesity Program and Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA
| | - Suzette J Bielinski
- Division of Epidemiology, Department of Quantitative Health Research, Mayo Clinic, Rochester, MN, USA
| | - Andres Acosta
- Precision Medicine for Obesity Program and Division of Gastroenterology and Hepatology, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
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Kee PS, Maggo SDS, Kennedy MA, Barclay ML, Miller AL, Lehnert K, Curtis MA, Faull RLM, Parker R, Chin PKL. Omeprazole Treatment Failure in Gastroesophageal Reflux Disease and Genetic Variation at the CYP2C Locus. Front Genet 2022; 13:869160. [PMID: 35664313 PMCID: PMC9160307 DOI: 10.3389/fgene.2022.869160] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 04/25/2022] [Indexed: 12/12/2022] Open
Abstract
Omeprazole is extensively used to manage gastroesophageal reflux disease (GERD). It is primarily metabolized by CYP2C19. The CYP2C19*17 (rs12248560) allele and the recently described CYP2C:TG haplotype (rs11188059 and rs2860840) are associated with increased enzymatic activity, and may reduce omeprazole exposure. This observational study aimed to investigate the association between these genetic variants and omeprazole treatment failure in GERD. We recruited predominantly New Zealand European GERD patients who either did not respond to omeprazole or experienced breakthrough heartburn symptoms despite at least 8 weeks of omeprazole (≥40 mg/day). The GerdQ score was used to gauge symptomatic severity. A total of 55 cases were recruited with a median age (range) of 56 years (19–82) and GerdQ score of 11 (5–17). Of these, 19 (34.5%) were CYP2C19*17 heterozygotes and two (3.6%) were CYP2C19*17 homozygotes. A total of 30 (27.3%) CYP2C:TG haplotypes was identified in our cohort, with seven (12.7%) CYP2C:TG homozygotes, and 16 (29%) CYP2C:TG heterozygotes. No significant differences were observed for overall CYP2C19*17 alleles, CYP2C19*17/*17, overall CYP2C:TG haplotypes, and CYP2C:TG heterozygotes (p > 0.05 for all comparisons). Gastroscopy and 24-h esophageal pH/impedance tests demonstrated objective evidence of GERD in a subgroup of 39 (71%) cases, in which the CYP2C:TG/TG was significantly enriched (p = 0.03) when compared with the haplotype frequencies in a predominantly (91%) New Zealand European reference population, but not the CYP2C19*17/*17 (p > 0.99), when compared with the allele frequencies for the non-Finnish European subset of gnomAD. We conclude that omeprazole treatment failure in GERD is associated with CYP2C:TG/TG, but not CYP2C19*17.
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Affiliation(s)
- Ping Siu Kee
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Simran D. S. Maggo
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Martin A. Kennedy
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Murray L. Barclay
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Department of Clinical Pharmacology, Christchurch Hospital, Christchurch, New Zealand
| | - Allison L. Miller
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Klaus Lehnert
- Faculty of Science, University of Auckland, Auckland, New Zealand
| | - Maurice A. Curtis
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Richard L. M. Faull
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Remai Parker
- Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Paul K. L. Chin
- Department of Medicine, University of Otago, Christchurch, New Zealand
- Department of Clinical Pharmacology, Christchurch Hospital, Christchurch, New Zealand
- *Correspondence: Paul K. L. Chin,
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6
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Campos AI, Byrne EM, Mitchell BL, Wray NR, Lind PA, Licinio J, Medland SE, Martin NG, Hickie IB, Rentería ME. Impact of CYP2C19 metaboliser status on SSRI response: a retrospective study of 9500 participants of the Australian Genetics of Depression Study. THE PHARMACOGENOMICS JOURNAL 2022; 22:130-135. [PMID: 35094016 PMCID: PMC8975743 DOI: 10.1038/s41397-022-00267-7] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Revised: 01/10/2022] [Accepted: 01/11/2022] [Indexed: 01/31/2023]
Abstract
Background Variation within the CYP2C19 gene has been linked to differential metabolism of selective serotonin reuptake inhibitors (SSRIs). Pharmacogenetic recommendations based on the effect of CYP2C19 variants have been made available and are used increasingly by clinical practitioners. Nonetheless, the underlying assumption linking differential metabolism to efficacy or adverse side effects remains understudied. Here, we aim to fill this gap by studying CYP2C19 polymorphisms and inferred metabolism and patient-reported antidepressant response in a sample of 9531 Australian adults who have taken SSRIs. Methods Metaboliser status was inferred for participants based on CYP2C19 alleles. Primary analysis consisted of assessing differences in treatment efficacy and tolerability between normal (reference) and: ultrarapid, rapid, intermediate and poor metabolisers. Results Across medications, poor metabolisers reported a higher efficacy, whereas rapid metabolisers reported higher tolerability. When stratified by drug, associations between metaboliser status and efficacy did not survive multiple testing correction. Intermediate metabolisers were at greater odds of reporting any side effect for sertraline and higher number of side effects across medications and for sertraline. Conclusions The effects between metaboliser status and treatment efficacy, tolerability and side effects were in the expected direction. Our power analysis suggests we would detect moderate to large effects, at least nominally. Reduced power may also be explained by heterogeneity in antidepressant dosages or concomitant medications, which we did not measure. The fact that we identify slower metabolisers to be at higher risk of side effects even without adjusting for clinical titration, and the nominally significant associations consistent with the expected metabolic effects provide new evidence for the link between CYP2C19 metabolism and SSRI response. Nonetheless, longitudinal and interventional designs such as randomized clinical trials that stratify by metaboliser status are necessary to establish the effects of CYP2C19 metabolism on SSRI treatment efficacy or adverse effects.
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Affiliation(s)
- Adrian I Campos
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. .,Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia. .,Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.
| | - Enda M Byrne
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Brittany L Mitchell
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Naomi R Wray
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia.,Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Penelope A Lind
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.,Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia.,School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Julio Licinio
- Department of Psychiatry, State University of New York Upstate Medical University, Syracuse, NY, USA
| | - Sarah E Medland
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | | | - Ian B Hickie
- Brain and Mind Centre, University of Sydney, Camperdown, NSW, Australia
| | - Miguel E Rentería
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. .,Faculty of Medicine, The University of Queensland, Brisbane, QLD, Australia. .,School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia.
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7
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Shalimova A, Babasieva V, Chubarev VN, Tarasov VV, Schiöth HB, Mwinyi J. Therapy response prediction in major depressive disorder: current and novel genomic markers influencing pharmacokinetics and pharmacodynamics. Pharmacogenomics 2021; 22:485-503. [PMID: 34018822 DOI: 10.2217/pgs-2020-0157] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Major depressive disorder is connected with high rates of functional disability and mortality. About a third of the patients are at risk of therapy failure. Several pharmacogenetic markers especially located in CYP450 genes such as CYP2D6 or CYP2C19 are of relevance for therapy outcome prediction in major depressive disorder but a further optimization of predictive tools is warranted. The article summarizes the current knowledge on pharmacogenetic variants, therapy effects and side effects of important antidepressive therapeutics, and sheds light on new methodological approaches for therapy response estimation based on genetic markers with relevance for pharmacokinetics, pharmacodynamics and disease pathology identified in genome-wide association study analyses, highlighting polygenic risk score analysis as a tool for further optimization of individualized therapy outcome prediction.
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Affiliation(s)
- Alena Shalimova
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden.,Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Viktoria Babasieva
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden.,Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Vladimir N Chubarev
- Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Vadim V Tarasov
- Department of Pharmacology, Institute of Pharmacy, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia.,Institute of Translational Medicine & Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Helgi B Schiöth
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden.,Institute of Translational Medicine & Biotechnology, I. M. Sechenov First Moscow State Medical University, Moscow, 119991, Russia
| | - Jessica Mwinyi
- Department of Neuroscience, Functional Pharmacology, University of Uppsala, Uppsala, 751 24, Sweden
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8
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Levy A, El-Hage W, Bennabi D, Allauze E, Bouvard A, Camus V, Courtet P, Dorey JM, Etain B, Fond G, Genty JB, Holtzmann J, Horn M, Leboyer M, Llorca PM, Meyrel M, Molière F, Nguon AS, Petrucci J, Rey R, Richieri R, Stephan F, Vaiva G, Walter M, Haffen E, Aouizerate B, Yrondi A. Occurrence of Side Effects in Treatment-Resistant Depression: Role of Clinical, Socio-Demographic and Environmental Characteristics. Front Psychiatry 2021; 12:795666. [PMID: 34938218 PMCID: PMC8685450 DOI: 10.3389/fpsyt.2021.795666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 11/12/2021] [Indexed: 11/13/2022] Open
Abstract
Introduction: Treatment-resistant depression (TRD) is a disabling psychiatric condition characterized by the failure of two antidepressants (ADs). Since the occurrence of side effects (SEs) appears to be one of the main determinants of early discontinuation of pharmacological treatments contributing to a pseudo-resistance, the purpose of this study was to determine the parameters associated with the occurrence of SEs under ADs in a cohort of patients with TRD. Methods: An observational, cross-sectional, multicentre study was carried out using data from the French network of Expert Centers for TRD. For the 108 patients enrolled in the study, the statistical analyses focused on the overall occurrence and on the profile of the SEs (9 categories, 32 items). Results: SEs were influenced by age and sex and were positively associated with the intensity of anxious, depressive and suicidal symptoms, a history of childhood trauma (sexual abuse, emotional abuse and neglect), and negatively associated with self-esteem, and assessment of overall functioning. Conclusion: Using variables accessible in common practice, these results fall within the dynamic of a more tailored approach to medicine that could allow, through integrated pharmacological management, the continuation of antidepressant treatments, and therefore limit the risk of therapeutic failure.
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Affiliation(s)
- Anna Levy
- Fondation FondaMental, Créteil, France.,Service de Psychiatrie et de Psychologie Médicale de l'adulte (Department of Psychiatry and Adult Medical Psychology), Centre Expert Dépression Résistante FondaMental (FondaMental Advanced Centre of Expertise in Resistant Depression, CHU de Toulouse (University Hospital Centre), Hôpital Purpan, ToNIC Toulouse NeuroImaging Centre, Université de Toulouse (Toulouse University), INSERM, UPS, Toulouse, France
| | - Wissam El-Hage
- Fondation FondaMental, Créteil, France.,U1253, iBrain, CIC1415, Inserm, CHRU de Tours (Regional University Hospital Centre), Université de Tours, Tours, France
| | - Djamila Bennabi
- Fondation FondaMental, Créteil, France.,Service de Psychiatrie, Centre Expert Dépression Résistante FondaMental, CIC-1431 INSERM, CHU de Besançon, EA 481 Neurosciences, Université de Bourgogne Franche Comté, Besançon, France
| | - Etienne Allauze
- Fondation FondaMental, Créteil, France.,Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | - Alexandra Bouvard
- Fondation FondaMental, Créteil, France.,Pôle de Psychiatrie Générale et Universitaire (Department of General and University Academic Psychiatry Cluster), Centre de référence régional des pathologies anxieuses et de la dépression (Regional Reference Center for the Management and Treatment of Anxiety and Depressive Disorders), Centre Expert Dépression Résistante FondaMental (FondaMental Advanced Centre of Expertise in Resistant Depression), CH Charles Perrens, Bordeaux, Laboratoire Nutrition et Neurobiologie intégrée (Integrated Nutrition and Neurobiology Laboratory) (UMR INRAE 1286), Université de Bordeaux (Bordeaux University), Bordeaux, France
| | - Vincent Camus
- Fondation FondaMental, Créteil, France.,U1253, iBrain, CIC1415, Inserm, CHRU de Tours (Regional University Hospital Centre), Université de Tours, Tours, France
| | - Philippe Courtet
- Fondation FondaMental, Créteil, France.,Department of Emergency Psychiatry and Acute Care, CHU Montpellier, INSERM U1061, Montpellier University, Montpellier, France
| | - Jean-Michel Dorey
- Fondation FondaMental, Créteil, France.,INSERM U1028, CNRS UMR5292, University Lyon 1, Lyon Neuroscience Research Centre, Psychiatric Disorders: from Resistance to Response ΨR2 Team, Centre Hospitalier Le Vinatier (Hospital Centre), Bron, France
| | - Bruno Etain
- Fondation FondaMental, Créteil, France.,Université de Paris et AP-HP - GHU Lariboisière-Fernand Widal - Département de Psychiatrie et de Médecine Addictologique, Paris, France
| | - Guillaume Fond
- Fondation FondaMental, Créteil, France.,Pôle Psychiatrie, Centre Expert Dépression Résistante FondaMental, CHU La Conception, Marseille, France
| | - Jean-Baptiste Genty
- Fondation FondaMental, Créteil, France.,Université Paris-Est, UMR_S955, UPEC, Créteil, France Inserm, U955, Equipe 15 Psychiatrie génétique (Team 15 Genetic Psychiatry), Créteil, France AP-HP, Hôpital H. Mondor-A. Chenevier, Pôle de psychiatrie (Psychiatry Cluster), Créteil, France Fondation FondaMental, Fondation de Cooperation Scientifique (Scientific Cooperation Foundation), Créteil, France
| | - Jérôme Holtzmann
- Fondation FondaMental, Créteil, France.,Service Hospitalo-Universitaire de Psychiatrie, CHU Grenoble Alpes, Université Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences (Institute of Neurosciences), Grenoble, France
| | - Mathilde Horn
- Fondation FondaMental, Créteil, France.,Service de Psychiatrie adulte (Department of Adult Psychiatry), Centre Expert Dépression Résistante FondaMental, CHRU de Lille, Hôpital Fontan 1, Lille, France
| | - Marion Leboyer
- Fondation FondaMental, Créteil, France.,Université Paris-Est, UMR_S955, UPEC, Créteil, France Inserm, U955, Equipe 15 Psychiatrie génétique (Team 15 Genetic Psychiatry), Créteil, France AP-HP, Hôpital H. Mondor-A. Chenevier, Pôle de psychiatrie (Psychiatry Cluster), Créteil, France Fondation FondaMental, Fondation de Cooperation Scientifique (Scientific Cooperation Foundation), Créteil, France
| | - Pierre-Michel Llorca
- Fondation FondaMental, Créteil, France.,Department of Psychiatry, CHU Clermont-Ferrand, University of Clermont Auvergne, EA 7280, Clermont-Ferrand, France
| | - Manon Meyrel
- Fondation FondaMental, Créteil, France.,Université de Paris et AP-HP - GHU Lariboisière-Fernand Widal - Département de Psychiatrie et de Médecine Addictologique, Paris, France
| | - Fanny Molière
- Fondation FondaMental, Créteil, France.,Department of Emergency Psychiatry and Acute Care, CHU Montpellier, INSERM U1061, Montpellier University, Montpellier, France
| | - Anne-Sophie Nguon
- Fondation FondaMental, Créteil, France.,Service Hospitalo-Universitaire de Psychiatrie, CHU Grenoble Alpes, Université Grenoble Alpes, Inserm, U1216, CHU Grenoble Alpes, Grenoble Institut Neurosciences (Institute of Neurosciences), Grenoble, France
| | - Jean Petrucci
- Fondation FondaMental, Créteil, France.,Université Paris-Est, UMR_S955, UPEC, Créteil, France Inserm, U955, Equipe 15 Psychiatrie génétique (Team 15 Genetic Psychiatry), Créteil, France AP-HP, Hôpital H. Mondor-A. Chenevier, Pôle de psychiatrie (Psychiatry Cluster), Créteil, France Fondation FondaMental, Fondation de Cooperation Scientifique (Scientific Cooperation Foundation), Créteil, France
| | - Romain Rey
- Fondation FondaMental, Créteil, France.,INSERM U1028, CNRS UMR5292, University Lyon 1, Lyon Neuroscience Research Centre, Psychiatric Disorders: from Resistance to Response ΨR2 Team, Centre Hospitalier Le Vinatier (Hospital Centre), Bron, France
| | - Raphaelle Richieri
- Fondation FondaMental, Créteil, France.,Pôle Psychiatrie, Centre Expert Dépression Résistante FondaMental, CHU La Conception, Marseille, France
| | - Florian Stephan
- Fondation FondaMental, Créteil, France.,Service Hospitalo-Universitaire de Psychiatrie Générale et de Réhabilitation Psycho Sociale 29G01 et 29G02 (University Hospital Department of General Psychiatry and Psychosocial Rehabilitation), Centre Expert Depression Résistante FondaMental, EA 7479, CHRU de Brest, Hôpital de Bohars, Brest, France
| | - Guillaume Vaiva
- Fondation FondaMental, Créteil, France.,Service de Psychiatrie adulte (Department of Adult Psychiatry), Centre Expert Dépression Résistante FondaMental, CHRU de Lille, Hôpital Fontan 1, Lille, France.,Centre National de Ressources et Résilience pour les psychotraumatismes (Cn2r Lille Paris), Lille, France
| | - Michel Walter
- Fondation FondaMental, Créteil, France.,Service Hospitalo-Universitaire de Psychiatrie Générale et de Réhabilitation Psycho Sociale 29G01 et 29G02 (University Hospital Department of General Psychiatry and Psychosocial Rehabilitation), Centre Expert Depression Résistante FondaMental, EA 7479, CHRU de Brest, Hôpital de Bohars, Brest, France
| | - Emmanuel Haffen
- Fondation FondaMental, Créteil, France.,Service de Psychiatrie, Centre Expert Dépression Résistante FondaMental, CIC-1431 INSERM, CHU de Besançon, EA 481 Neurosciences, Université de Bourgogne Franche Comté, Besançon, France
| | - Bruno Aouizerate
- Fondation FondaMental, Créteil, France.,Pôle de Psychiatrie Générale et Universitaire (Department of General and University Academic Psychiatry Cluster), Centre de référence régional des pathologies anxieuses et de la dépression (Regional Reference Center for the Management and Treatment of Anxiety and Depressive Disorders), Centre Expert Dépression Résistante FondaMental (FondaMental Advanced Centre of Expertise in Resistant Depression), CH Charles Perrens, Bordeaux, Laboratoire Nutrition et Neurobiologie intégrée (Integrated Nutrition and Neurobiology Laboratory) (UMR INRAE 1286), Université de Bordeaux (Bordeaux University), Bordeaux, France
| | - Antoine Yrondi
- Fondation FondaMental, Créteil, France.,Service de Psychiatrie et de Psychologie Médicale de l'adulte (Department of Psychiatry and Adult Medical Psychology), Centre Expert Dépression Résistante FondaMental (FondaMental Advanced Centre of Expertise in Resistant Depression, CHU de Toulouse (University Hospital Centre), Hôpital Purpan, ToNIC Toulouse NeuroImaging Centre, Université de Toulouse (Toulouse University), INSERM, UPS, Toulouse, France
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