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The Gender-Specific Association of DRD2 Polymorphism with Metabolic Syndrome in Patients with Schizophrenia. Genes (Basel) 2022; 13:genes13081312. [PMID: 35893053 PMCID: PMC9331510 DOI: 10.3390/genes13081312] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/13/2022] [Accepted: 07/20/2022] [Indexed: 02/04/2023] Open
Abstract
Background: Metabolic syndrome is widespread in patients with schizophrenia receiving long-term antipsychotic therapy. Dopamine D2 receptors play an important role in mediating both the therapeutic actions of antipsychotics and their side effects. The present study examined the association of two polymorphisms of the DRD2 gene with metabolic syndrome in patients with schizophrenia. Methods: We examined 517 patients from several regions of Siberia (Russia) with a clinical diagnosis of schizophrenia. Genotyping of two single nucleotide polymorphisms rs1799732 and rs4436578 of the dopamine D2 receptor gene (DRD2) was performed in a population of 471 patients. The results were analyzed using chi-square tests. Results: Functional polymorphism rs1799732 of the DRD2 gene is associated with drug-induced metabolic syndrome in women with schizophrenia. Conclusions: Our results show that the DRD2 gene may be involved in the pathogenesis of metabolic disorders in patients with schizophrenia. Further analysis of possible genetic markers will allow for personalized treatment with minimal side effects and optimal efficacy. This which seems relevant in light of the recent focus on improving the quality of life and ensuring a high level of social adaptation of patients with schizophrenia.
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2
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Fedorenko OY, Paderina DZ, Kornetova EG, Poltavskaya EG, Pozhidaev IV, Goncharova AA, Freidin MB, Bocharova AV, Bokhan NA, Loonen AJM, Ivanova SA. Genes of the Glutamatergic System and Tardive Dyskinesia in Patients with Schizophrenia. Diagnostics (Basel) 2022; 12:diagnostics12071521. [PMID: 35885427 PMCID: PMC9322868 DOI: 10.3390/diagnostics12071521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 06/16/2022] [Accepted: 06/20/2022] [Indexed: 11/17/2022] Open
Abstract
Background: Tardive dyskinesia (TD) is an extrapyramidal side effect of the long-term use of antipsychotics. In the present study, the role of glutamatergic system genes in the pathogenesis of total TD, as well as two phenotypic forms, orofacial TD and limb-truncal TD, was studied. Methods: A set of 46 SNPs of the glutamatergic system genes (GRIN2A, GRIN2B, GRIK4, GRM3, GRM7, GRM8, SLC1A2, SLC1A3, SLC17A7) was studied in a population of 704 Caucasian patients with schizophrenia. Genotyping was performed using the MassARRAY Analyzer 4 (Agena Bioscience™). Logistic regression analysis was performed to test for the association of TD with the SNPs while adjusting for confounders. Results: No statistically significant associations between the SNPs and TD were found after adjusting for multiple testing. Since three SNPs of the SLC1A2 gene demonstrated nominally significant associations, we carried out a haplotype analysis for these SNPs. This analysis identified a risk haplotype for TD comprising CAT alleles of the SLC1A2 gene SNPs rs1042113, rs10768121, and rs12361171. Nominally significant associations were identified for SLC1A3 rs2229894 and orofacial TD, as well as for GRIN2A rs7192557 and limb-truncal TD. Conclusions: Genes encoding for mGlu3, EAAT2, and EAAT1 may be involved in the development of TD in schizophrenia patients.
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Affiliation(s)
- Olga Yu. Fedorenko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (O.Y.F.); (D.Z.P.); (E.G.K.); (E.G.P.); (I.V.P.); (A.A.G.); (N.A.B.); (S.A.I.)
| | - Diana Z. Paderina
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (O.Y.F.); (D.Z.P.); (E.G.K.); (E.G.P.); (I.V.P.); (A.A.G.); (N.A.B.); (S.A.I.)
| | - Elena G. Kornetova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (O.Y.F.); (D.Z.P.); (E.G.K.); (E.G.P.); (I.V.P.); (A.A.G.); (N.A.B.); (S.A.I.)
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, 634050 Tomsk, Russia
| | - Evgeniya G. Poltavskaya
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (O.Y.F.); (D.Z.P.); (E.G.K.); (E.G.P.); (I.V.P.); (A.A.G.); (N.A.B.); (S.A.I.)
| | - Ivan V. Pozhidaev
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (O.Y.F.); (D.Z.P.); (E.G.K.); (E.G.P.); (I.V.P.); (A.A.G.); (N.A.B.); (S.A.I.)
| | - Anastasiia A. Goncharova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (O.Y.F.); (D.Z.P.); (E.G.K.); (E.G.P.); (I.V.P.); (A.A.G.); (N.A.B.); (S.A.I.)
| | - Maxim B. Freidin
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634050 Tomsk, Russia; (M.B.F.); (A.V.B.)
- School of Biological and Behavioural Sciences, Queen Mary University of London, London E1 4NS, UK
| | - Anna V. Bocharova
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634050 Tomsk, Russia; (M.B.F.); (A.V.B.)
| | - Nikolay A. Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (O.Y.F.); (D.Z.P.); (E.G.K.); (E.G.P.); (I.V.P.); (A.A.G.); (N.A.B.); (S.A.I.)
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, 634050 Tomsk, Russia
| | - Anton J. M. Loonen
- Unit of PharmacoTherapy, Epidemiology & Economics, Groningen Research Institute of Pharmacy, University of Groningen, 9713 AV Groningen, The Netherlands
- Correspondence:
| | - Svetlana A. Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (O.Y.F.); (D.Z.P.); (E.G.K.); (E.G.P.); (I.V.P.); (A.A.G.); (N.A.B.); (S.A.I.)
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, 634050 Tomsk, Russia
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Hongkaew Y, Gaedigk A, Wilffert B, Gaedigk R, Kittitharaphan W, Ngamsamut N, Limsila P, Puangpetch A, Sukprasong R, Sukasem C. Pharmacogenomics Factors Influencing the Effect of Risperidone on Prolactin Levels in Thai Pediatric Patients With Autism Spectrum Disorder. Front Pharmacol 2021; 12:743494. [PMID: 34690776 PMCID: PMC8527557 DOI: 10.3389/fphar.2021.743494] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2021] [Accepted: 09/14/2021] [Indexed: 01/15/2023] Open
Abstract
We investigated the association between genetic variations in pharmacodynamic genes and risperidone-induced increased prolactin levels in children and adolescents with autism spectrum disorder (ASD). In a retrospective study, variants of pharmacodynamic genes were analyzed in 124 ASD patients treated with a risperidone regimen for at least 3 months. To simplify genotype interpretation, we created an algorithm to calculate the dopamine D2 receptor (DRD2) gene genetic risk score. There was no relationship between prolactin levels and single SNPs. However, the H1/H3 diplotype (A2/A2-Cin/Cin-A/G) of DRD2/ankyrin repeat and kinase domain containing 1 (ANKK1) Taq1A, DRD2 -141C indel, and DRD2 -141A>G, which had a genetic risk score of 5.5, was associated with the highest median prolactin levels (23 ng/ml). As the dose-corrected plasma levels of risperidone, 9-OH-risperidone, and the active moiety increased, prolactin levels in patients carrying the H1/H3 diplotype were significantly higher than those of the other diplotypes. DRD2 diplotypes showed significantly high prolactin levels as plasma risperidone levels increased. Lower levels of prolactin were detected in patients who responded to risperidone. This is the first system for describing DRD2 haplotypes using genetic risk scores based on their protein expression. Clinicians should consider using pharmacogenetic-based decision-making in clinical practice to prevent prolactin increase.
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Affiliation(s)
- Yaowaluck Hongkaew
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.,Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand.,Research and Development Laboratory, Bumrungrad International Hospital, Bangkok, Thailand
| | - Andrea Gaedigk
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kanas City, MO, United States.,School of Medicine, University of Missouri-Kansas City, Kansas City, MO, United States
| | - Bob Wilffert
- Unit of PharmacoTherapy, Epidemiology and Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, Netherlands.,Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Roger Gaedigk
- Division of Clinical Pharmacology, Toxicology and Therapeutic Innovation, Children's Mercy Kansas City, Kanas City, MO, United States.,School of Medicine, University of Missouri-Kansas City, Kansas City, MO, United States
| | - Wiranpat Kittitharaphan
- Department of Mental Health Services, Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Ministry of Public Health, Samut Prakan, Thailand
| | - Nattawat Ngamsamut
- Department of Mental Health Services, Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Ministry of Public Health, Samut Prakan, Thailand
| | - Penkhae Limsila
- Department of Mental Health Services, Yuwaprasart Waithayopathum Child and Adolescent Psychiatric Hospital, Ministry of Public Health, Samut Prakan, Thailand
| | - Apichaya Puangpetch
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.,Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand
| | - Rattanaporn Sukprasong
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.,Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand
| | - Chonlaphat Sukasem
- Division of Pharmacogenomics and Personalized Medicine, Department of Pathology, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.,Laboratory for Pharmacogenomics, Somdech Phra Debaratana Medical Center (SDMC), Ramathibodi Hospital, Bangkok, Thailand.,Pharmacogenomics and Precision Medicine, Preventive Genomics and Family Check-up Services Center, Bumrungrad International Hospital, Bangkok, Thailand
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Levchenko A, Kanapin A, Samsonova A, Fedorenko OY, Kornetova EG, Nurgaliev T, Mazo GE, Semke AV, Kibitov AO, Bokhan NA, Gainetdinov RR, Ivanova SA. A genome-wide association study identifies a gene network associated with paranoid schizophrenia and antipsychotics-induced tardive dyskinesia. Prog Neuropsychopharmacol Biol Psychiatry 2021; 105:110134. [PMID: 33065217 DOI: 10.1016/j.pnpbp.2020.110134] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Revised: 09/10/2020] [Accepted: 10/06/2020] [Indexed: 02/06/2023]
Abstract
In the present study we conducted a genome-wide association study (GWAS) in a cohort of 505 patients with paranoid schizophrenia (SCZ), of which 95 had tardive dyskinesia (TD), and 503 healthy controls. Using data generated by the PsychENCODE Consortium (PEC) and other bioinformatic databases, we revealed a gene network, implicated in neurodevelopment and brain function, associated with both these disorders. Almost all these genes are in gene or isoform co-expression PEC network modules important for the functioning of the brain; the activity of these networks is also altered in SCZ, bipolar disorder and autism spectrum disorders. The associated PEC network modules are enriched for gene ontology terms relevant to the brain development and function (CNS development, neuron development, axon ensheathment, synapse, synaptic vesicle cycle, and signaling receptor activity) and to the immune system (inflammatory response). Results of the present study suggest that orofacial and limbtruncal types of TD seem to share the molecular network with SCZ. Paranoid SCZ and abnormal involuntary movements that indicate the orofacial type of TD are associated with the same genomic loci on chromosomes 3p22.2, 8q21.13, and 13q14.2. The limbtruncal type of TD is associated with a locus on chromosome 3p13 where the best functional candidate is FOXP1, a high-confidence SCZ gene. The results of this study shed light on common pathogenic mechanisms for SCZ and TD, and indicate that the pathogenesis of the orofacial and limbtruncal types of TD might be driven by interacting genes implicated in neurodevelopment.
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Affiliation(s)
- Anastasia Levchenko
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, Saint Petersburg, Russia.
| | - Alexander Kanapin
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, Saint Petersburg, Russia
| | - Anastasia Samsonova
- Theodosius Dobzhansky Center for Genome Bioinformatics, Saint Petersburg State University, Saint Petersburg, Russia
| | - Olga Yu Fedorenko
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia; National Research Tomsk Polytechnic University, Tomsk, Russia
| | - Elena G Kornetova
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia; Siberian State Medical University, Tomsk, Russia
| | | | - Galina E Mazo
- Department of Endocrine Psychiatry, V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russia
| | - Arkadiy V Semke
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Alexander O Kibitov
- Department of Endocrine Psychiatry, V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russia; Laboratory of Molecular Genetics, Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russia
| | - Nikolay A Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia; Siberian State Medical University, Tomsk, Russia; National Research Tomsk State University, Tomsk, Russia
| | - Raul R Gainetdinov
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russia
| | - Svetlana A Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia; National Research Tomsk Polytechnic University, Tomsk, Russia; Siberian State Medical University, Tomsk, Russia
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5
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Paderina DZ, Boiko AS, Pozhidaev IV, Bocharova AV, Mednova IA, Fedorenko OY, Kornetova EG, Loonen AJ, Semke AV, Bokhan NA, Ivanova SA. Genetic Polymorphisms of 5-HT Receptors and Antipsychotic-Induced Metabolic Dysfunction in Patients with Schizophrenia. J Pers Med 2021; 11:jpm11030181. [PMID: 33807811 PMCID: PMC7999828 DOI: 10.3390/jpm11030181] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2021] [Revised: 03/01/2021] [Accepted: 03/02/2021] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Antipsychotic-induced metabolic syndrome (MetS) is a multifactorial disease with a genetic predisposition. Serotonin and its receptors are involved in antipsychotic-drug-induced metabolic disorders. The present study investigated the association of nine polymorphisms in the four 5-hydroxytryptamine receptor (HTR) genes HTR1A, HTR2A, HTR3A, and HTR2C and the gene encoding for the serotonin transporter SLC6A4 with MetS in patients with schizophrenia. METHODS A set of nine single-nucleotide polymorphisms of genes of the serotonergic system was investigated in a population of 475 patients from several Siberian regions (Russia) with a clinical diagnosis of schizophrenia. Genotyping was performed and the results were analyzed using chi-square tests. RESULTS Polymorphic variant rs521018 (HTR2C) was associated with higher body mass index in patients receiving long-term antipsychotic therapy, but not with drug-induced metabolic syndrome. Rs1150226 (HTR3A) was also associated but did not meet Hardy-Weinberg equilibrium. CONCLUSIONS Our results indicate that allelic variants of HTR2C genes may have consequences on metabolic parameters. MetS may have too complex a mechanistic background to be studied without dissecting the syndrome into its individual (causal) components.
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Affiliation(s)
- Diana Z. Paderina
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (D.Z.P.); (A.S.B.); (I.V.P.); (I.A.M.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Anastasiia S. Boiko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (D.Z.P.); (A.S.B.); (I.V.P.); (I.A.M.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Ivan V. Pozhidaev
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (D.Z.P.); (A.S.B.); (I.V.P.); (I.A.M.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Anna V. Bocharova
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634050 Tomsk, Russia;
| | - Irina A. Mednova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (D.Z.P.); (A.S.B.); (I.V.P.); (I.A.M.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Olga Yu. Fedorenko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (D.Z.P.); (A.S.B.); (I.V.P.); (I.A.M.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Elena G. Kornetova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (D.Z.P.); (A.S.B.); (I.V.P.); (I.A.M.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
- Siberian State Medical University, 634050 Tomsk, Russia
| | - Anton J.M. Loonen
- Unit of PharmacoTherapy, -Epidemiology & -Economics, Groningen Research Institute of Pharmacy, University of Groningen, 9713AV Groningen, The Netherlands
- Correspondence:
| | - Arkadiy V. Semke
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (D.Z.P.); (A.S.B.); (I.V.P.); (I.A.M.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Nikolay A. Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (D.Z.P.); (A.S.B.); (I.V.P.); (I.A.M.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
- Siberian State Medical University, 634050 Tomsk, Russia
| | - Svetlana A. Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (D.Z.P.); (A.S.B.); (I.V.P.); (I.A.M.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
- Siberian State Medical University, 634050 Tomsk, Russia
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Zhuo C, Xu Y, Wang H, Fang T, Chen J, Zhou C, Li Q, Liu J, Xu S, Yao C, Yang W, Yang A, Li B, Chen Y, Tian H, Lin C. Safety and Efficacy of High-Dose Vitamin B6 as an Adjunctive Treatment for Antipsychotic-Induced Hyperprolactinemia in Male Patients With Treatment-Resistant Schizophrenia. Front Psychiatry 2021; 12:681418. [PMID: 34512411 PMCID: PMC8426548 DOI: 10.3389/fpsyt.2021.681418] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Accepted: 08/05/2021] [Indexed: 12/28/2022] Open
Abstract
This study aimed to investigate the safety and efficacy of high-dose vitamin B6 (vB6) as an adjunct treatment for antipsychotic-induced hyperprolactinemia (AIHP) in male patients with treatment-resistant schizophrenia (TRS). In this randomized double-blinded controlled study, patients were randomized (1:1) into a control group given aripiprazole (ARI; 10 mg/day; n = 100) or an intervention group given vB6 (300 mg/12 h for 16 weeks; n = 100). Prolactin levels, psychotic symptoms [Positive and Negative Syndrome Scale (PANSS)], cognitive function [MATRICS Consensus Cognitive Battery (MCCB)], liver function, kidney function, growth hormone level, micronutrient levels, blood lipids, and adverse secondary effects (ASEs)[Treatment Emergent Symptom Scale (TESS) and Barnes-Akathisia scale] were monitored. After a 16-week treatment period, the vB6 group showed a 68.1% reduction in serum prolactin levels (from 95.52 ± 6.30 μg/L to 30.43 ± 18.65 μg/L) while the ARI group showed only a 37.4% reduction (from 89.07 ± 3.59 μg/L to 55.78 ± 7.39 μg/L). During weeks 1-4, both treatments reduced prolactin similarly. Subsequently, the ARI effect plateaued, while the vB6 effect remained robust. The vB6 group showed better alleviation of psychotic symptoms and cognitive impairment. No serious ASEs were observed; ASEs were more frequent in the ARI group. AIHP reduction efficacy of vB6 was associated with baseline prolactin and triglyceride levels, total vB6 dosage, and education level. In conclusion, compared with the ARI group, TRS patients given vB6 showed better attenuation of AIHP, lower ASE scores, and greater improvements in clinical symptoms and cognitive impairments. These results support further consideration of vB6 as a putative treatment for AIHP. Trial Registration: ChiCTR1800014755.
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Affiliation(s)
- Chuanjun Zhuo
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin Fourth Center Hospital, The Fourth Central Hospital Affiliated With Nankai University, The Fourth Central Hospital Affiliated to Tianjin Medical University, Tianjin, China.,Key Laboratory of Real Time Brain Circuit Tracing in Neurology and Psychiatry (RTBNP_Lab), Tianjin Fourth Center Hospital, The Fourth Central Hospital Affiliated With Nankai University, The Fourth Central Hospital Affiliated to Tianjin Medical University, Tianjin, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, Taiyuan, China.,Mental Disorder Therapy Center for Cognitive Impairment and Sleep Disorders, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Haibo Wang
- Peking University Clinical Research Institute, Peking University First Hospital, Beijing, China
| | - Tao Fang
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin Fourth Center Hospital, The Fourth Central Hospital Affiliated With Nankai University, The Fourth Central Hospital Affiliated to Tianjin Medical University, Tianjin, China.,Key Laboratory of Real Time Brain Circuit Tracing in Neurology and Psychiatry (RTBNP_Lab), Tianjin Fourth Center Hospital, The Fourth Central Hospital Affiliated With Nankai University, The Fourth Central Hospital Affiliated to Tianjin Medical University, Tianjin, China
| | - Jiayue Chen
- Key Laboratory of Real Time Brain Circuit Tracing in Neurology and Psychiatry (RTBNP_Lab), Tianjin Fourth Center Hospital, The Fourth Central Hospital Affiliated With Nankai University, The Fourth Central Hospital Affiliated to Tianjin Medical University, Tianjin, China.,Laboratory of Neuro-Imaging and Comorbidity (PNGC_Lab), Tianjin Anding Hospital Affiliated to Nankai University, Tianjin Medical University, Tianjin, China
| | - Chunhua Zhou
- Department of Pharmacology, The First Hospital Affiliated to Hebei Medical University, Shijiazhuang, China
| | - Qianchen Li
- Department of Pharmacology, The First Hospital Affiliated to Hebei Medical University, Shijiazhuang, China
| | - Jie Liu
- Laboratory of Neuro-Imaging and Comorbidity (PNGC_Lab), Tianjin Anding Hospital Affiliated to Nankai University, Tianjin Medical University, Tianjin, China
| | - Shuli Xu
- Laboratory of Neuro-Imaging and Comorbidity (PNGC_Lab), Tianjin Anding Hospital Affiliated to Nankai University, Tianjin Medical University, Tianjin, China
| | - Cong Yao
- Laboratory of Neuro-Imaging and Comorbidity (PNGC_Lab), Tianjin Anding Hospital Affiliated to Nankai University, Tianjin Medical University, Tianjin, China
| | - Weiliang Yang
- Laboratory of Neuro-Imaging and Comorbidity (PNGC_Lab), Tianjin Anding Hospital Affiliated to Nankai University, Tianjin Medical University, Tianjin, China
| | - Anqu Yang
- Department of Treatment Resistant Schizophrenia, Tianjin Kangtai Hospital, Tianjin, China
| | - Bo Li
- Department of Treatment Resistant Schizophrenia, Tianjin Kangtai Hospital, Tianjin, China
| | - Yuhui Chen
- Department of Treatment Resistant Schizophrenia, Tianjin Kangtai Hospital, Tianjin, China
| | - Hongjun Tian
- Key Laboratory of Multiple Organ Damages of Major Psychoses (MODMP_Lab), Tianjin Fourth Center Hospital, The Fourth Central Hospital Affiliated With Nankai University, The Fourth Central Hospital Affiliated to Tianjin Medical University, Tianjin, China.,Key Laboratory of Real Time Brain Circuit Tracing in Neurology and Psychiatry (RTBNP_Lab), Tianjin Fourth Center Hospital, The Fourth Central Hospital Affiliated With Nankai University, The Fourth Central Hospital Affiliated to Tianjin Medical University, Tianjin, China
| | - Chongguang Lin
- Department of Psychiatry, Wenzhou Seventh Peoples Hospital, Wenzhou, China
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7
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Fedorenko OY, Paderina DZ, Loonen AJM, Pozhidaev IV, Boiko AS, Kornetova EG, Bokhan NA, Wilffert B, Ivanova SA. Association of ANKK1 polymorphism with antipsychotic-induced hyperprolactinemia. Hum Psychopharmacol 2020; 35:e2737. [PMID: 32383805 PMCID: PMC7507142 DOI: 10.1002/hup.2737] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 04/07/2020] [Accepted: 04/08/2020] [Indexed: 12/19/2022]
Abstract
OBJECTIVE Schizophrenia is a severe highly heritable mental disorder. Genetic polymorphisms of dopaminergic pathways are related to pathogenesis of drug response. Hyperprolactinemia (HPRL), a common adverse effect of antipsychotics, is attributed to blockade of dopamine D2 receptors. Ankyrin Repeat and Kinase Domain containing 1 (ANKK1) gene is closely related to Dopamine Receptor D2 type (DRD2) gene functioning. We examined whether the functional polymorphism rs2734849 in the ANKK1 gene is associated with antipsychotic-induced HPRL. METHODS We recruited 446 patients with schizophrenia from among the Russian population of the Siberian region. The polymorphism rs2734849 in the ANKK1 gene was genotyped with The MassARRAY® Analyzer 4 by Agena Bioscience™, using the kit SEQUENOM Consumables iPLEXGold 384. Genotype and allele frequencies were compared between groups of schizophrenia patients with and without HPRL using the χ2 test. RESULTS A comparison between schizophrenia patients with and without HPRL revealed significantly higher frequency of the C allele of the polymorphic variant rs2734849 in the ANKK1 gene in patients with HPRL as compared to the patients without it (χ2 = 3.70; p = .05; odds ratio [OR] = 1.30 [0.99-1.69]). CONCLUSION The functional polymorphism rs2734849 in the ANKK1 gene was associated with HPRL in patients with schizophrenia.
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Affiliation(s)
- Olga Yu. Fedorenko
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia,Division for Control and Diagnostics, School of Non‐Destructive Testing and SecurityNational Research Tomsk Polytechnic UniversityTomskRussia
| | - Diana Z. Paderina
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia,Department of Cytology and Genetics, National Research Tomsk State UniversityTomskRussia
| | - Anton J. M. Loonen
- PharmacoTherapy, ‐Epidemiology and ‐Economics, Groningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands,Policy Office for Quality and Innovation of Care (BZI), GGZ Westelijk Noord‐BrabantHalsterenThe Netherlands
| | - Ivan V. Pozhidaev
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia,Department of Cytology and Genetics, National Research Tomsk State UniversityTomskRussia
| | - Anastasiia S. Boiko
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia
| | - Elena G. Kornetova
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia,Hospital, Siberian State Medical UniversityTomskRussia
| | - Nikolay A. Bokhan
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia,Department of Psychotherapy and Psychological Counseling, National Research Tomsk State UniversityTomskRussia,Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical UniversityTomskRussia
| | - Bob Wilffert
- PharmacoTherapy, ‐Epidemiology and ‐Economics, Groningen Research Institute of PharmacyUniversity of GroningenGroningenThe Netherlands,Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of GroningenGroningenThe Netherlands
| | - Svetlana A. Ivanova
- Mental Health Research InstituteTomsk National Research Medical Center of Russian Academy of SciencesTomskRussia,Division for Control and Diagnostics, School of Non‐Destructive Testing and SecurityNational Research Tomsk Polytechnic UniversityTomskRussia,Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical UniversityTomskRussia
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8
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Koller D, Abad-Santos F. The pharmacogenetics of aripiprazole-induced hyperprolactinemia: what do we know? Pharmacogenomics 2020; 21:571-574. [PMID: 32397867 DOI: 10.2217/pgs-2020-0024] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Affiliation(s)
- Dora Koller
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, 28006, Spain
| | - Francisco Abad-Santos
- Clinical Pharmacology Department, Hospital Universitario de La Princesa, Instituto Teófilo Hernando, Universidad Autónoma de Madrid (UAM), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, 28006, Spain.,UICEC Hospital Universitario de La Princesa, Platform SCReN (Spanish Clinical Research Network), Instituto de Investigación Sanitaria La Princesa (IP), Madrid, 28006, Spain
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9
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Geers LM, Pozhidaev IV, Ivanova SA, Freidin MB, Schmidt AF, Cohen D, Boiko AS, Paderina DZ, Fedorenko OY, Semke AV, Bokhan NA, Wilffert B, Kosterink JGW, Touw DJ, Loonen AJM. Association between 8 P-glycoprotein (MDR1/ABCB1) gene polymorphisms and antipsychotic drug-induced hyperprolactinaemia. Br J Clin Pharmacol 2020; 86:1827-1835. [PMID: 32198935 PMCID: PMC7444793 DOI: 10.1111/bcp.14288] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2019] [Revised: 02/05/2020] [Accepted: 02/14/2020] [Indexed: 12/20/2022] Open
Abstract
Introduction Hyperprolactinaemia, a common adverse effect of antipsychotic drugs, is primarily linked to blockade of dopamine D2 receptors in the pituitary gland. Certain antipsychotic drugs, such as, for example risperidone and paliperidone, are more likely to induce hyperprolactinaemia compared to others. This effect is probably caused by a relatively high blood/brain concentration ratio, a consequence of being a substrate of P‐glycoprotein. Genetic variants of P‐glycoprotein with changed functional activity might influence the potential of risperidone and paliperidone to cause hyperprolactinaemia as the altered blood/brain concentration ratio would lead to a reduced therapeutic drug level within essential brain areas making dose adaptations necessary. This increases exposure of dopamine D2 receptors within the pituitary gland. Aims To investigate possible associations between MDR1/ABCB1 gene polymorphisms and antipsychotic drug‐induced hyperprolactinaemia in Russian patients with schizophrenia and to determine possible differences between risperidone/paliperidone and other antipsychotics. Methods In total, 446 patients with schizophrenia were included from 3 psychiatric hospitals in Siberia. Blood samples were obtained in a cross‐sectional study design for DNA extraction and prolactin measurement. Associations between hyperprolactinaemia and 8 MDR1/ABCB1 gene‐polymorphisms were assessed using logistic regression analysis accounting for covariates. The analysis was repeated in a patient subgroup using risperidone or paliperidone. Results We did not observe an association between any of the 8 single nucleotide polymorphisms and the prevalence of antipsychotic‐induced hyperprolactinaemia in the total patient population. However, in the risperidone/paliperidone subgroup, the single nucleotide polymorphism rs2032582 (G2677T) was found to be negatively associated with risperidone/paliperidone‐induced hyperprolactinaemia. Conclusion This study revealed a significant association between the ABCB1 gene polymorphism rs2032582 (G2677T) and risperidone/paliperidone‐induced hyperprolactinaemia.
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Affiliation(s)
- Lisanne M Geers
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Ivan V Pozhidaev
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation.,National Research Tomsk State University, Tomsk, Russian Federation
| | - Svetlana A Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation.,National Research Tomsk Polytechnic University, Tomsk, Russian Federation.,Siberian State Medical University, Tomsk, Russian Federation
| | - Maxim B Freidin
- Department of Twin Research and Genetic Epidemiology, School of Live Course Sciences, King's College London, London, UK.,Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation
| | - Amand F Schmidt
- Department of Cardiology, Division Heart and Lungs, University Medical Center Utrecht, Utrecht, The Netherlands.,Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK
| | - Dan Cohen
- FACT-team Heerhugowaard, Department of Community psychiatry, Mental Health Organization North-Holland North, The Netherlands
| | - Anastasiia S Boiko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation
| | - Diana Z Paderina
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation.,National Research Tomsk State University, Tomsk, Russian Federation
| | - Olga Yu Fedorenko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation.,National Research Tomsk Polytechnic University, Tomsk, Russian Federation
| | - Arkadiy V Semke
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation.,Siberian State Medical University, Tomsk, Russian Federation
| | - Nikolay A Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk, Russian Federation.,National Research Tomsk State University, Tomsk, Russian Federation.,Siberian State Medical University, Tomsk, Russian Federation
| | - Bob Wilffert
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Groningen Research Institute of Pharmacy, PharmacoTherapy, - Epidemiology & -Economics, University of Groningen, Groningen, The Netherlands
| | - Jos G W Kosterink
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Groningen Research Institute of Pharmacy, PharmacoTherapy, - Epidemiology & -Economics, University of Groningen, Groningen, The Netherlands
| | - Daan J Touw
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.,Groningen Research Institute of Pharmacy, Department of Pharmaceutical Analysis, University of Groningen, Groningen, The Netherlands
| | - Anton J M Loonen
- Groningen Research Institute of Pharmacy, PharmacoTherapy, - Epidemiology & -Economics, University of Groningen, Groningen, The Netherlands.,GGZ Westelijk Noord-Brabant, Halsteren, The Netherlands
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10
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Yoshida K, Müller DJ. Pharmacogenetics of Antipsychotic Drug Treatment: Update and Clinical Implications. MOLECULAR NEUROPSYCHIATRY 2020; 5:1-26. [PMID: 32399466 PMCID: PMC7206586 DOI: 10.1159/000492332] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2018] [Accepted: 07/20/2018] [Indexed: 12/24/2022]
Abstract
Numerous genetic variants have been shown to be associated with antipsychotic response and adverse effects of schizophrenia treatment. However, the clinical application of these findings is limited. The aim of this narrative review is to summarize the most recent publications and recommendations related to the genetics of antipsychotic treatment and shed light on the clinical utility of pharmacogenetics/pharmacogenomics (PGx). We reviewed the literature on PGx studies with antipsychotic drugs (i.e., antipsychotic response and adverse effects) and commonly used commercial PGx tools for clinical practice. Publications and reviews were included with emphasis on articles published between January 2015 and April 2018. We found 44 studies focusing on antipsychotic response and 45 studies on adverse effects (e.g., antipsychotic-induced weight gain, movement disorders, hormonal abnormality, and clozapine-induced agranulocytosis/granulocytopenia), albeit with mixed results. Overall, several gene variants related to antipsychotic response and adverse effects in the treatment of patients with schizophrenia have been reported, and several commercial pharmacogenomic tests have become available. However, further well-designed investigations and replication studies in large and well-characterized samples are needed to facilitate the application of PGx findings to clinical practice.
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Affiliation(s)
- Kazunari Yoshida
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Neuropsychiatry, Keio University School of Medicine, Tokyo, Japan
| | - Daniel J. Müller
- 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
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11
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Hrovatin K, Kunej T, Dolžan V. Genetic variability of serotonin pathway associated with schizophrenia onset, progression, and treatment. Am J Med Genet B Neuropsychiatr Genet 2020; 183:113-127. [PMID: 31674148 DOI: 10.1002/ajmg.b.32766] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Revised: 09/11/2019] [Accepted: 10/07/2019] [Indexed: 12/22/2022]
Abstract
Schizophrenia (SZ) onset and treatment outcome have important genetic components, however individual genes do not have strong effects on SZ phenotype. Therefore, it is important to use the pathway-based approach and study metabolic and signaling pathways, such as dopaminergic and serotonergic. Serotonin pathway has an important role in brain signaling, nevertheless, its role in SZ is not as thoroughly examined as that of dopamine pathway. In this study, we reviewed serotonin pathway genes and genetic variations associated with SZ, including variations at DNA, RNA, and epigenetic level. We obtained 30 serotonin pathway genes from Kyoto encyclopedia of genes and genomes and used these genes for the literature review. We extracted 20 protein coding serotonin pathway genes with genetic variations associated with SZ onset, development, and treatment from 31 research papers. Genes associated with SZ are present on all levels of serotonin pathway: serotonin synthesis, transport, receptor binding, intracellular signaling, and reuptake; however, regulatory genes are poorly researched. We summarized common challenges of genetic association studies and presented some solutions. The analysis of reported serotonin pathway-SZ associations revealed lack of information about certain serotonin pathway genes potentially associated with SZ. Furthermore, it is becoming clear that interactions among serotonin pathway genes and their regulators may bring further knowledge about their involvement in SZ.
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Affiliation(s)
- Karin Hrovatin
- University of Ljubljana, Biotechnical Faculty, Department of Animal Science, Ljubljana, Slovenia
| | - Tanja Kunej
- University of Ljubljana, Biotechnical Faculty, Department of Animal Science, Ljubljana, Slovenia
| | - Vita Dolžan
- University of Ljubljana, Faculty of Medicine, Institute of Biochemistry, Pharmacogenetics Laboratory, Ljubljana, Slovenia
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12
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Ochi T, Vyalova NM, Losenkov IS, Paderina DZ, Pozhidaev IV, Loonen AJM, Simutkin GG, Bokhan NA, Ivanova SA, Wilffert B. Limited Associations Between 5-HT Receptor Gene Polymorphisms and Treatment Response in Antidepressant Treatment-Free Patients With Depression. Front Pharmacol 2019; 10:1462. [PMID: 31956308 PMCID: PMC6951408 DOI: 10.3389/fphar.2019.01462] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 11/13/2019] [Indexed: 11/13/2022] Open
Abstract
Major depressive disorder has become a prominent cause of disability, as lifetime prevalence has increased to ~15% in the Western world. Pharmacological effects of serotonin (5-hydroxytryptamine, 5-HT) are mediated through 5-hydroxytryptamine receptor (5-HTR) binding. Serotonin regulation of amygdala activity is attained through activation of three 5-HT2 family receptor subtypes, 5-HT2A, 5-HT2B, and 5-HT2C. Specifically, HT2A and the HT2C receptors have similar gross cerebral distribution and function, with higher constitutive activity found in HT2C than in HT2A. We investigated the possible association of 5-HTR gene polymorphisms to specific and non-specific antidepressant treatment responses in treatment-free patients in Siberia. 156 patients, aged between 18-70 years and clinically diagnosed with depressive disorders, were treated with antidepressants for 4 weeks. Patients were genotyped for a subset of 29 SNPs from the following 5-HT Receptor genes: HTR1A, HTR1B, HTR2A, HTR2C, HTR3A, HTR3B and HTR6. Primary outcome was measured by differences in Hamilton Depression Rating Scale (ΔHAM-D 17) scores between baseline/week two, week two/week four and baseline/week four. Univariate linear regression was initially conducted to determine the 5-HTR SNPs to be studied within the multiple linear regression. Multiple linear regression analyses over the three time periods were conducted for ΔHAM-D 17 with independent factors including: age, gender, depression diagnosis, antidepressant treatment and selected 5-HTR SNPs. We found improved ∆HAM-D 17 in patients taking tricyclic antidepressants (0-4 weeks: B = 4.85, p = 0.0002; 0-2 weeks: B = 3.58, p = 0.002) compared to patients taking SSRIs. Over the course of study, significant associations between 5-HT receptors SNPs and antidepressant response were not identified.
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Affiliation(s)
- Taichi Ochi
- Department of PharmacoTherapy, - Epidemiology & -Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, Netherlands
| | - Natalya M. Vyalova
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Innokentiy S. Losenkov
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Diana Z. Paderina
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
- Department of Cytology and Genetics, National Research Tomsk State University, Tomsk, Russia
| | - Ivan V. Pozhidaev
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
- Department of Cytology and Genetics, National Research Tomsk State University, Tomsk, Russia
| | - Anton J. M. Loonen
- Department of PharmacoTherapy, - Epidemiology & -Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, Netherlands
- GGZ Westelijk Noord-Brabant, Policy Office for Quality and Innovation of Care (BZI), Halsteren, Netherlands
| | - German G. Simutkin
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
| | - Nikolay A. Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
- Department of Psychotherapy and Psychological Counseling, National Research Tomsk State University, Tomsk, Russia
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, Tomsk, Russia
| | - Svetlana A. Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, Tomsk, Russia
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, Tomsk, Russia
- School of Non-Destructive Testing and Security, Division for Control and Diagnostics, National Research Tomsk Polytechnic University, Tomsk, Russia
| | - Bob Wilffert
- Department of PharmacoTherapy, - Epidemiology & -Economics, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, Netherlands
- Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
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13
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Koller D, Belmonte C, Saiz-Rodríguez M, Zubiaur P, Román M, Ochoa D, Abad-Santos F. Effects of aripiprazole on circadian prolactin secretion related to pharmacogenetics in healthy volunteers. Basic Clin Pharmacol Toxicol 2019; 126:236-246. [PMID: 31520576 DOI: 10.1111/bcpt.13323] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 09/10/2019] [Indexed: 01/09/2023]
Abstract
Aripiprazole treatment in schizophrenic patients was previously associated with lower or normalized prolactin levels. Genetic variants in cytochrome P450 (CYP) (CYP2D6), dopamine receptor (DRD2, DRD3) and serotonin receptor (HTR2A, HTR2C) genes were previously associated with antipsychotic-induced hyperprolactinaemia. Our aim was to evaluate whether aripiprazole affects prolactin secretion and its relationship with pharmacogenetics. Thirty-one healthy volunteers receiving a 10-mg single oral dose of aripiprazole were genotyped for 12 polymorphisms in CYP2D6, DRD2, DRD3, HTR2A and HTR2C genes by qPCR. Aripiprazole and dehydro-aripiprazole plasma concentrations were measured by HPLC-MS/MS. Prolactin concentrations of the 31 volunteers taking aripiprazole and 12 volunteers receiving ibuprofen were determined by ELISA. Prolactin concentrations after ibuprofen intake were considered as control, since it is known to cause no effect. Prolactin concentrations were slightly higher in the aripiprazole group compared to the ibuprofen group. All prolactin pharmacokinetic parameters were higher in females than in males. CYP2D6 poor and intermediate metabolizers had notably higher prolactin Cmax and AUC0-12 than normal and ultrarapid metabolizers. The DRD3 rs6280 polymorphism affected prolactin levels: volunteers carrying Ser/Ser genotype had significantly lower prolactin levels than volunteers carrying the Gly allele. Furthermore, HTR2C rs3813929 C/C homozygotes had significantly lower prolactin levels than T allele carriers. Nevertheless, aripiprazole did increase prolactin levels compared to ibuprofen.
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Affiliation(s)
- Dora Koller
- Clinical Pharmacology Department, University Hospital of the Princess, Teófilo Hernando Institute, School of Medicine, Health Research Institute of the Princess (IP), Autonomus University of Madrid, Madrid, Spain
| | - Carmen Belmonte
- Clinical Pharmacology Department, University Hospital of the Princess, Teófilo Hernando Institute, School of Medicine, Health Research Institute of the Princess (IP), Autonomus University of Madrid, Madrid, Spain.,UICEC University Hospital of the Princess, Platform SCREN (Spanish Clinical Research Network), Health Research Institute of the Princess (IP), Madrid, Spain
| | - Miriam Saiz-Rodríguez
- Clinical Pharmacology Department, University Hospital of the Princess, Teófilo Hernando Institute, School of Medicine, Health Research Institute of the Princess (IP), Autonomus University of Madrid, Madrid, Spain
| | - Pablo Zubiaur
- Clinical Pharmacology Department, University Hospital of the Princess, Teófilo Hernando Institute, School of Medicine, Health Research Institute of the Princess (IP), Autonomus University of Madrid, Madrid, Spain
| | - Manuel Román
- Clinical Pharmacology Department, University Hospital of the Princess, Teófilo Hernando Institute, School of Medicine, Health Research Institute of the Princess (IP), Autonomus University of Madrid, Madrid, Spain.,UICEC University Hospital of the Princess, Platform SCREN (Spanish Clinical Research Network), Health Research Institute of the Princess (IP), Madrid, Spain
| | - Dolores Ochoa
- Clinical Pharmacology Department, University Hospital of the Princess, Teófilo Hernando Institute, School of Medicine, Health Research Institute of the Princess (IP), Autonomus University of Madrid, Madrid, Spain.,UICEC University Hospital of the Princess, Platform SCREN (Spanish Clinical Research Network), Health Research Institute of the Princess (IP), Madrid, Spain
| | - Francisco Abad-Santos
- Clinical Pharmacology Department, University Hospital of the Princess, Teófilo Hernando Institute, School of Medicine, Health Research Institute of the Princess (IP), Autonomus University of Madrid, Madrid, Spain.,UICEC University Hospital of the Princess, Platform SCREN (Spanish Clinical Research Network), Health Research Institute of the Princess (IP), Madrid, Spain
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14
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Fedorenko OY, Golimbet VE, Ivanova SА, Levchenko А, Gainetdinov RR, Semke AV, Simutkin GG, Gareeva АE, Glotov АS, Gryaznova A, Iourov IY, Krupitsky EM, Lebedev IN, Mazo GE, Kaleda VG, Abramova LI, Oleichik IV, Nasykhova YA, Nasyrova RF, Nikolishin AE, Kasyanov ED, Rukavishnikov GV, Timerbulatov IF, Brodyansky VM, Vorsanova SG, Yurov YB, Zhilyaeva TV, Sergeeva AV, Blokhina EA, Zvartau EE, Blagonravova AS, Aftanas LI, Bokhan NА, Kekelidze ZI, Klimenko TV, Anokhina IP, Khusnutdinova EK, Klyushnik TP, Neznanov NG, Stepanov VA, Schulze TG, Kibitov АО. Opening up new horizons for psychiatric genetics in the Russian Federation: moving toward a national consortium. Mol Psychiatry 2019; 24:1099-1111. [PMID: 30664668 PMCID: PMC6756082 DOI: 10.1038/s41380-019-0354-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2018] [Revised: 12/27/2018] [Accepted: 12/31/2018] [Indexed: 12/18/2022]
Abstract
We provide an overview of the recent achievements in psychiatric genetics research in the Russian Federation and present genotype-phenotype, population, epigenetic, cytogenetic, functional, ENIGMA, and pharmacogenetic studies, with an emphasis on genome-wide association studies. The genetic backgrounds of mental illnesses in the polyethnic and multicultural population of the Russian Federation are still understudied. Furthermore, genetic, genomic, and pharmacogenetic data from the Russian Federation are not adequately represented in the international scientific literature, are currently not available for meta-analyses and have never been compared with data from other populations. Most of these problems cannot be solved by individual centers working in isolation but warrant a truly collaborative effort that brings together all the major psychiatric genetic research centers in the Russian Federation in a national consortium. For this reason, we have established the Russian National Consortium for Psychiatric Genetics (RNCPG) with the aim to strengthen the power and rigor of psychiatric genetics research in the Russian Federation and enhance the international compatibility of this research.The consortium is set up as an open organization that will facilitate collaborations on complex biomedical research projects in human mental health in the Russian Federation and abroad. These projects will include genotyping, sequencing, transcriptome and epigenome analysis, metabolomics, and a wide array of other state-of-the-art analyses. Here, we discuss the challenges we face and the approaches we will take to unlock the huge potential that the Russian Federation holds for the worldwide psychiatric genetics community.
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Affiliation(s)
- Olga Yu Fedorenko
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation.
- National Research Tomsk Polytechnic University, Tomsk, Russian Federation.
| | | | - Svetlana А Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
- National Research Tomsk Polytechnic University, Tomsk, Russian Federation
| | - Аnastasia Levchenko
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Raul R Gainetdinov
- Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Arkady V Semke
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
| | - German G Simutkin
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
| | - Аnna E Gareeva
- Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences, Ufa, Russian Federation
- Federal State Educational Institution of Highest Education Bashkir State Medical University of Public Health Ministry of Russian Federation, Ufa, Russian Federation
| | - Аndrey S Glotov
- Laboratory of Biobanking and Genomic Medicine of Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Anna Gryaznova
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU, Munich, Germany
| | - Ivan Y Iourov
- Mental Health Research Center, Moscow, Russian Federation
| | - Evgeny M Krupitsky
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Igor N Lebedev
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
| | - Galina E Mazo
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | | | | | | | - Yulia A Nasykhova
- Laboratory of Biobanking and Genomic Medicine of Institute of Translational Biomedicine, Saint Petersburg State University, Saint Petersburg, Russian Federation
| | - Regina F Nasyrova
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Anton E Nikolishin
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Evgeny D Kasyanov
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Grigory V Rukavishnikov
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Ilgiz F Timerbulatov
- Federal State Educational Institution of Highest Education Bashkir State Medical University of Public Health Ministry of Russian Federation, Ufa, Russian Federation
| | - Vadim M Brodyansky
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Svetlana G Vorsanova
- Veltischev Research and Clinical Institute for Pediatrics, the Pirogov Russian National Research Medical University, Moscow, Russian Federation
| | - Yury B Yurov
- Mental Health Research Center, Moscow, Russian Federation
| | - Tatyana V Zhilyaeva
- Privolzhskiy Research Medical University, Nizhny Novgorod, Russian Federation
| | | | - Elena A Blokhina
- First Saint Petersburg Pavlov State Medical University, Saint Petersburg, Russian Federation
| | - Edwin E Zvartau
- First Saint Petersburg Pavlov State Medical University, Saint Petersburg, Russian Federation
| | - Anna S Blagonravova
- Privolzhskiy Research Medical University, Nizhny Novgorod, Russian Federation
| | - Lyubomir I Aftanas
- Federal State Scientific Budgetary Institution "Scientific Research Institute of Physiology and Basic Medicine,", Novosibirsk, Russian Federation
| | - Nikolay А Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
- National Research Tomsk State University, Tomsk, Russian Federation
| | - Zurab I Kekelidze
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Tatyana V Klimenko
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Irina P Anokhina
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
| | - Elza K Khusnutdinova
- Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences, Ufa, Russian Federation
- Federal State Educational Institution of Highest Education Bashkir State Medical University of Public Health Ministry of Russian Federation, Ufa, Russian Federation
| | | | - Nikolay G Neznanov
- V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology, Saint Petersburg, Russian Federation
| | - Vadim A Stepanov
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of Russian Academy of Sciences, Tomsk, Russian Federation
- National Research Tomsk State University, Tomsk, Russian Federation
| | - Thomas G Schulze
- Institute of Psychiatric Phenomics and Genomics (IPPG), University Hospital, LMU, Munich, Germany
| | - Аleksandr О Kibitov
- Serbsky National Medical Research Center on Psychiatry and Addictions, Moscow, Russian Federation
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15
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Osmanova DZ, Freidin MB, Fedorenko OY, Pozhidaev IV, Boiko AS, Vyalova NM, Tiguntsev VV, Kornetova EG, Loonen AJM, Semke AV, Wilffert B, Bokhan NA, Ivanova SA. A pharmacogenetic study of patients with schizophrenia from West Siberia gets insight into dopaminergic mechanisms of antipsychotic-induced hyperprolactinemia. BMC MEDICAL GENETICS 2019; 20:47. [PMID: 30967134 PMCID: PMC6454588 DOI: 10.1186/s12881-019-0773-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
BACKGROUND Hyperprolactinemia (HPRL) is a classical side effect of antipsychotic drugs primarily attributed to blockade of dopamine D2 receptors (DRD2s) on the membranes of lactotroph cells within the pituitary gland. Certain antipsychotic drugs, e.g. risperidone, are more likely to induce HPRL because of relative accumulation within the adenohypophysis. Nevertheless, due to competition for pituitary DRD2s by high dopamine levels may limit antipsychotic-induced HPRL. Moreover, the activity of prolactin-producing lactotrophs also depends on other hormones which are regulated by the extra-pituitary activity of dopamine receptors, dopamine transporters, enzymes of neurotransmitter metabolism and other factors. Polymorphic variants in the genes coding for these receptors and proteins can have functional significance and influence on the development of hyperprolactinemia. METHODS A set of 41 SNPs of genes for dopamine receptors DRD1, DRD2, DRD3, DRD4, the dopamine transporter SLC6A3 and dopamine catabolizing enzymes MAOA and MAOB was investigated in a population of 446 Caucasians (221 males/225 females) with a clinical diagnosis of schizophrenia (according to ICD-10: F20) with and without HPRL who were treated with classical and/or atypical antipsychotic drugs. Additive genetic model was tested and the analysis was carried out in the total group and in subgroup stratified by the use of risperidone/paliperidone. RESULTS One statistically significant association between polymorphic variant rs1799836 of MAOB gene and HPRL in men was found in the total group. Furthermore, the rs40184 and rs3863145 variants in SLC6A3 gene appeared to be associated with HPRL in the subgroup of patients using the risperidone/paliperidone, but not with HPRL induced by other antipsychotic drugs. CONCLUSIONS Our results indicate that genetic variants of MAOB and SLC6A3 may have consequences on the modulation of prolactin secretion. A further search for genetic markers associated with the development of antipsychotic-related hyperprolactinemia in schizophrenic patients is needed.
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Affiliation(s)
- Diana Z. Osmanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya str., 4, Tomsk, Russian Federation 634014
- National Research Tomsk State University, Lenin Avenue, Tomsk, Russian Federation 36
| | - Maxim B. Freidin
- Department of Twin Research and Genetic Epidemiology, School of Live Course Sciences, King’s College London, Lambeth Palace Road, London, SE1 7EH UK
- Research Institute of Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, Naberezhnaya Ushaiki str, Tomsk, Russian Federation 10
| | - Olga Yu. Fedorenko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya str., 4, Tomsk, Russian Federation 634014
- National Research Tomsk Polytechnic University, Lenin Avenue, Tomsk, Russian Federation 30
| | - Ivan V. Pozhidaev
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya str., 4, Tomsk, Russian Federation 634014
- National Research Tomsk State University, Lenin Avenue, Tomsk, Russian Federation 36
| | - Anastasiia S. Boiko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya str., 4, Tomsk, Russian Federation 634014
| | - Natalia M. Vyalova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya str., 4, Tomsk, Russian Federation 634014
| | - Vladimir V. Tiguntsev
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya str., 4, Tomsk, Russian Federation 634014
| | - Elena G. Kornetova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya str., 4, Tomsk, Russian Federation 634014
| | - Anton J. M. Loonen
- Groningen Research Institute of Pharmacy, PharmacoTherapy, Epidemiology & Economics, University of Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands
- GGZ Westelijk Noord-Brabant, Hoofdlaan 8, 4661 AA Halsteren, The Netherlands
| | - Arkadiy V. Semke
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya str., 4, Tomsk, Russian Federation 634014
| | - Bob Wilffert
- Groningen Research Institute of Pharmacy, PharmacoTherapy, Epidemiology & Economics, University of Groningen, Antonius Deusinglaan 1, 9713 AV Groningen, The Netherlands
- University Medical Center Groningen, Department of Clinical Pharmacy and Pharmacology, University of Groningen, Hanzeplein 1, 9713 GZ Groningen, The Netherlands
| | - Nikolay A. Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya str., 4, Tomsk, Russian Federation 634014
- National Research Tomsk State University, Lenin Avenue, Tomsk, Russian Federation 36
| | - Svetlana A. Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Aleutskaya str., 4, Tomsk, Russian Federation 634014
- National Research Tomsk Polytechnic University, Lenin Avenue, Tomsk, Russian Federation 30
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16
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Abstract
Supplemental digital content is available in the text.
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17
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UGT1A1 polymorphisms associated with prolactin response in risperidone-treated children and adolescents with autism spectrum disorder. THE PHARMACOGENOMICS JOURNAL 2018; 18:740-748. [PMID: 29955115 DOI: 10.1038/s41397-018-0031-7] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Revised: 02/28/2018] [Accepted: 05/14/2018] [Indexed: 12/18/2022]
Abstract
The aim of this study was to investigate the association of drug-metabolizing enzyme and transporter (DMET) polymorphisms with the risperidone-induced prolactin response using an overlapping gene model between serum prolactin level and hyperprolactinemia in autism spectrum disorder (ASD) patients. Eighty-four ASD patients who were receiving risperidone for at least 1 month were recruited and then assigned to either the normal prolactin group or the hyperprolactinemia group based on their serum prolactin level. The genotype profile of 1936 (1931 single nucleotide polymorphisms (SNPs) and 5 copy number variation (CNVs) drug metabolism markers was obtained using the Affymetrix DMET Plus GeneChip microarray platform. Genotypes of SNPs used to test the accuracy of DMET genotype profiling were determined using TaqMan SNP Genotyping Assay kits. Eighty-four patients were selected for the allelic association study after microarray analyses (51 in the normal prolactin group, and 33 in the hyperprolactinemia group). An overlapping allelic association analysis of both analyses discovered five DMET SNPs with a suggestive association (P < 0.05) with risperidone-induced prolactin response. Three UGT1A1 SNPs (UGT1A1*80c.-364C > T, UGT1A1*93 c.-3156G > A, and UGT1A1 c.-2950A > G, showed a suggestive association with the risperidone-induced prolactin response and found to be in complete linkage disequilibrium (D' value of 1). In this DMET microarray platform, we found three UGT1A1 variants with suggestive evidences of association with the risperidone-induced prolactin response both measured by hyperprolactinemia and by prolactin level. However, due to the lack of validation studies confirmation and further exploration are needed in future pharmacogenomic studies.
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18
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Gassó P, Mas S, Bioque M, Cabrera B, Lobo A, González-Pinto A, Díaz-Caneja CM, Corripio I, Vieta E, Castro-Fornieles J, Sarró S, Mané A, Sanjuan J, Llerena A, Lafuente A, Saiz-Ruiz J, Bernardo M. Impact of NTRK2, DRD2 and ACE polymorphisms on prolactin levels in antipsychotic-treated patients with first-episode psychosis. J Psychopharmacol 2018; 32:702-710. [PMID: 29767567 DOI: 10.1177/0269881118773026] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Hyperprolactinemia is a common side-effect of antipsychotics (APs), which may trigger serious secondary problems and compromise the adherence to treatment which is crucial for prognosis, especially in patients presenting with a first-episode of psychosis (FEP). AIMS We evaluated, in some cases for the first time, the effect of polymorphisms in multiple candidate genes on serum prolactin (PRL) levels in an AP-treated FEP cohort recruited in the multicenter PEPs study (Phenotype - genotype and environmental interaction; Application of a predictive model in first psychotic episodes). METHODS PRL concentration was measured in serum from 222 patients. A total of 167 polymorphisms were selected in 23 genes. Genetic association analysis was performed in the whole sample and also in homogenous subgroups of patients treated with APs with a high (N = 101) or low risk (N = 95) of increasing PRL release, which showed significant differences in their PRL levels. RESULTS After Bonferroni correction, polymorphisms in NTRK2, DRD2 and ACE genes were associated with PRL concentration. CONCLUSION Our results give more support to the impact of DRD2, but also of other genes related to dopamine availability such as ACE. Moreover, this study provides the first evidence for the involvement of NTRK2, which suggests that pathways other than the ones related to dopamine or serotonin may participate in the AP-related PRL levels.
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Affiliation(s)
- Patricia Gassó
- 1 Department of Basic Clinical Practice, University of Barcelona, Spain.,2 Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain
| | - Sergi Mas
- 1 Department of Basic Clinical Practice, University of Barcelona, Spain.,2 Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Miquel Bioque
- 3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,4 Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Spain
| | - Bibiana Cabrera
- 3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,4 Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Spain
| | - Antonio Lobo
- 3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,5 Department of Medicine and Psychiatry, Universidad de Zaragoza, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Spain
| | - Ana González-Pinto
- 3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,6 Hospital Universitario Araba, Servicio de Psiquiatria, UPV/EHU, Bioaraba, Spain
| | - Covadonga M Díaz-Caneja
- 3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,7 Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain
| | - Iluminada Corripio
- 3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,8 Department of Psychiatry, Hospital de Sant Pau, Barcelona, Spain.,9 Universitat Autonoma de Barcelona, Bellaterra (Cerdanyola del Vallès), Barcelona, Spain
| | - Eduard Vieta
- 2 Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,10 Bipolar Disorder Unit, Hospital Clinic of Barcelona, University of Spain
| | - Josefina Castro-Fornieles
- 2 Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,11 Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic of Barcelona, Spain.,12 Department of Medicine, University of Barcelona, Spain
| | - Salvador Sarró
- 3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,13 FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain
| | - Anna Mané
- 3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,14 Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Julio Sanjuan
- 3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,15 INCLIVA, Universidad de Valencia, Hospital Clínico Universitario de Valencia, Spain
| | - Adrián Llerena
- 3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,16 CICAB Clinical Research Center, Extremadura University Hospital and Medical School, Badajoz, Spain
| | - Amalia Lafuente
- 1 Department of Basic Clinical Practice, University of Barcelona, Spain.,2 Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain
| | - Jerónimo Saiz-Ruiz
- 3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,17 Department of Psychiatry, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
| | - Miguel Bernardo
- 2 Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,4 Barcelona Clinic Schizophrenia Unit, Hospital Clinic of Barcelona, Spain.,12 Department of Medicine, University of Barcelona, Spain
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- 1 Department of Basic Clinical Practice, University of Barcelona, Spain.,2 Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,3 Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.,6 Hospital Universitario Araba, Servicio de Psiquiatria, UPV/EHU, Bioaraba, Spain.,7 Department of Child and Adolescent Psychiatry, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), School of Medicine, Universidad Complutense, Madrid, Spain.,9 Universitat Autonoma de Barcelona, Bellaterra (Cerdanyola del Vallès), Barcelona, Spain.,10 Bipolar Disorder Unit, Hospital Clinic of Barcelona, University of Spain.,11 Department of Child and Adolescent Psychiatry and Psychology, Institute of Neurosciences, Hospital Clinic of Barcelona, Spain.,12 Department of Medicine, University of Barcelona, Spain.,13 FIDMAG Germanes Hospitalàries Research Foundation, Barcelona, Spain.,14 Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain.,17 Department of Psychiatry, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain.,18 Biomedical Research Institute Sant Pau, IIB Sant Pau, Barcelona, Spain.,19 Department of Family Medicine, Hospital Universitario Miguel Servet, Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain.,20 Department of Neuroradiology, Hospital Quirónsalud, Instituto de Investigación Sanitaria Aragón (IIS Aragon), Zaragoza, Spain.,21 INCLIVA, Universidad de Valencia, Spain.,22 INCLIVA, Hospital Clínico Universitario de Valencia, Spain.,23 Department of Psychiatry, Bellvitge University Hospital-IDIBELL; Department of Clinical Sciences, School of Medicine, University of Barcelona, Spain.,24 Department of Psychiatry, University of Oviedo, Spain.,25 Department of Neuroscience, University of the Basque Country (UPV-EHU), Bizkaia, Spain.,26 Santiago Apóstol University Hospital, Psychiatry/ Bioaraba Research Institute Vitoria - Álava, Spain.,27 BioCruces Health Research Institute, Barakaldo, Bizkaia, Spain.,28 Instituto de Investigación Sanitaria Hospital 12 de Octubre (i+12), Madrid, Spain.,29 Parc Sanitari Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Sant Boi de Llobregat, Spain.,30 Neuroscience Research Australia, School of Medical Sciences, University of New South Wales, ARC Centre of Excellence in Cognition and its Disorders, Sydney, Australia.,31 Department of Psychiatry, Complejo Hospitalario de Navarra, IdiSNA, Navarra Institute for Health Research, Pamplona, Spain.,32 Department of Medicine, Universitat de València, Spain
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