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Moon JJ, Kim HS, Shim JC, Ahn JM, Jung DU, Kim DJ, Jeong HE, Kim EY, Jeon DW, Kim SJ, Shin JG. Possible genetic biomarker associated with antipsychotic-induced amenorrhea in female patients with schizophrenia. Int Clin Psychopharmacol 2024; 39:29-35. [PMID: 37551597 DOI: 10.1097/yic.0000000000000501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/09/2023]
Abstract
This study explored the association of pharmacogenomics with antipsychotic-induced amenorrhea in female patients with schizophrenia. A total of 89 female schizophrenia patients aged 18-40 receiving consistent antipsychotics at a consistent dose for more than 3 months were enrolled in this study. Amenorrhea was defined as the absence of menstrual period for 3 months or three periods in a row. Serum levels of prolactin, estradiol, follicle-stimulating hormone, luteinizing hormone, and thyroid-stimulating hormone were measured and Cytochrome P450 2D6, dopamine receptor D2 ( DRD2 ) and estrogen receptor 1 were genotyped. Twenty-two patients with amenorrhea had higher prolactin levels and lower estradiol levels than those without amenorrhea (94.1 vs. 71.5 ng/ml for prolactin; P = 0.044 and 27.0 vs. 46.7 pg/ml for estradiol; P = 0.007, respectively). Multiple logistic regression analysis identified DRD2 -141C deletion [odds ratio (OR) = 1.71, 95% confidence interval (CI) = 1.01-4.17; P = 0.049] and drugs increasing prolactin levels (OR = 6.17, 95% CI = 1.28-29.64; P = 0.023) as significant covariates for antipsychotic-induced amenorrhea. This study suggests that DRD2 -141C deletion is associated with antipsychotic-induced amenorrhea although further studies are needed.
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Affiliation(s)
- Jung-Joon Moon
- Department of Psychiatry, Inje University Busan Paik Hospital
| | - Ho-Sook Kim
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine
| | | | - Jung-Mee Ahn
- Department of Psychiatry, Inje University Busan Paik Hospital
| | - Do-Un Jung
- Department of Psychiatry, Inje University Busan Paik Hospital
| | - Dong-Jin Kim
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine
| | - Hye-Eun Jeong
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine
| | - Eun-Young Kim
- Department of Clinical Pharmacology, Inje University Busan Paik Hosptial
| | - Dong-Wook Jeon
- Department of Psychiatry, Inje University Busan Paik Hospital
| | - Sung-Jin Kim
- Department of Psychiatry, Inje University Busan Paik Hospital
| | - Jae-Gook Shin
- Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine
- Department of Clinical Pharmacology, Inje University Busan Paik Hosptial
- Center for Personalized Precision Medicine of Tuberculosis, Inje University College of Medicine, Busan, Republic of Korea
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2
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Arrue A, Olivas O, Erkoreka L, Alvarez FJ, Arnaiz A, Varela N, Bilbao A, Rodríguez JJ, Moreno-Calle MT, Gordo E, Marín E, Garcia-Cano J, Saez E, Gonzalez-Torres MÁ, Zumárraga M, Basterreche N. Multilocus Genetic Profile Reflecting Low Dopaminergic Signaling Is Directly Associated with Obesity and Cardiometabolic Disorders Due to Antipsychotic Treatment. Pharmaceutics 2023; 15:2134. [PMID: 37631349 PMCID: PMC10459305 DOI: 10.3390/pharmaceutics15082134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/08/2023] [Accepted: 08/10/2023] [Indexed: 08/27/2023] Open
Abstract
Treatment with second-generation antipsychotics (SGAs) can cause obesity and other cardiometabolic disorders linked to D2 receptor (DRD2) and to genotypes affecting dopaminergic (DA) activity, within reward circuits. We explored the relationship of cardiometabolic alterations with single genetic polymorphisms DRD2 rs1799732 (NG_008841.1:g.4750dup -> C), DRD2 rs6277 (NG_008841.1:g.67543C>T), COMT rs4680 (NG_011526.1:g.27009G>A), and VNTR in both DRD4 NC_000011.10 (637269-640706) and DAT1 NC_000005.10 (1392794-1445440), as well as with a multilocus genetic profile score (MLGP). A total of 285 psychiatric patients treated with SGAs for at least three months were selected. Cardiometabolic parameters were classified according to ATP-III and WHO criteria. Blood samples were taken for routinely biochemical assays and PCR genotyping. Obesity (BMI, waist (W)), high diastolic blood pressure (DBP), and hypertriglyceridemia (HTG) were present in those genetic variants related to low dopaminergic activity: InsIns genotype in rs1799732 (BMI: OR: 2.91 [1.42-5.94]), DRD4-VNTR-L allele (W: OR: 1.73 [1.04-2.87]) and 9R9R variant in DAT1-VNTR (W: OR: 2.73 [1.16-6.40]; high DBP: OR: 3.33 [1.54-7.31]; HTG: OR: 4.38 [1.85-10.36]). A low MLGP score indicated a higher risk of suffering cardiometabolic disorders (BMI: OR: 1.23 [1.05-1.45]; W: OR: 1.18 [1.03-1.34]; high DBP: OR: 1.22 [1.06-1.41]; HTG: OR: 1.20 [1.04-1.39]). The MLGP score was more sensitive for detecting the risk of suffering these alterations. Low dopaminergic system function would contribute to increased obesity, BDP, and HTG following long-term SGA treatment.
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Affiliation(s)
- Aurora Arrue
- Mental Health Network Group, BioCruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.O.); (L.E.)
- Neurochemical Research Unit, Bizkaia Mental Health Network, Osakidetza Basque Health Service, 48903 Barakaldo, Spain
| | - Olga Olivas
- Mental Health Network Group, BioCruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.O.); (L.E.)
- Bizkaia Mental Health Network, Zaldibar Hospital, Osakidetza Basque Health Service, 48250 Zaldibar, Spain
| | - Leire Erkoreka
- Mental Health Network Group, BioCruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.O.); (L.E.)
- Department of Psychiatry, Galdakao-Usánsolo University Hospital, Osakidetza Basque Health Service, 48960 Galdakao, Spain
- Department of Neurosciences, Faculty of Medicine and Dentistry, University of the Basque Country UPV/EHU, 48940 Leioa, Spain
| | - Francisco Jose Alvarez
- Research Unit, Cruces University Hospital, Osakidetza Basque Health Service, 48903 Barakaldo, Spain
| | - Ainara Arnaiz
- Mental Health Network Group, BioCruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.O.); (L.E.)
- Erandio Mental Health Center, Bizkaia Mental Health Network, Osakidetza Basque Health Service, 48950 Erandio, Spain
| | - Noemi Varela
- Mental Health Network Group, BioCruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.O.); (L.E.)
- Uribe Mental Health Center, Bizkaia Mental Health Network, Osakidetza Basque Health Service, 48990 Getxo, Spain
| | - Ainhoa Bilbao
- Animal Research Facility, BioCruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
| | - Jose-Julio Rodríguez
- Department of Neurosciences, Faculty of Medicine and Dentistry, University of the Basque Country UPV/EHU, 48940 Leioa, Spain
- Functional Neuroanatomy, BioCruces Bizkaia Health Research Institute, Ikerbasque Basque Foundation for Science, 48903 Barakaldo, Spain
| | - María Teresa Moreno-Calle
- Mental Health Network Group, BioCruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.O.); (L.E.)
- Department of Psychiatry, Galdakao-Usánsolo University Hospital, Osakidetza Basque Health Service, 48960 Galdakao, Spain
| | - Estibaliz Gordo
- Bizkaia Mental Health Network, Zamudio Hospital, Osakidetza Basque Health Service, 48170 Zamudio, Spain
| | - Elena Marín
- Mental Health Network Group, BioCruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.O.); (L.E.)
- Bizkaia Mental Health Network, Bermeo Hospital, Osakidetza Basque Health Service, 48370 Bermeo, Spain
| | - Javier Garcia-Cano
- Alternatives to Hospitalization in Bilbao, Bizkaia Mental Health Network, Osakidetza Basque Health Service, 48903 Bilbao, Spain
| | - Estela Saez
- Mental Health Network Group, BioCruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.O.); (L.E.)
- Department of Psychiatry, Galdakao-Usánsolo University Hospital, Osakidetza Basque Health Service, 48960 Galdakao, Spain
| | - Miguel Ángel Gonzalez-Torres
- Department of Neurosciences, Faculty of Medicine and Dentistry, University of the Basque Country UPV/EHU, 48940 Leioa, Spain
- Integrative Research Group in Mental Health, BioCruces Bizkaia Health Research Institute, 48013 Bilbao, Spain
- Department of Psychiatry, Basurto University Hospital, Osakidetza Basque Health Service, 48013 Bilbao, Spain
| | - Mercedes Zumárraga
- Mental Health Network Group, BioCruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (O.O.); (L.E.)
- Neurochemical Research Unit, Bizkaia Mental Health Network, Osakidetza Basque Health Service, 48903 Barakaldo, Spain
| | - Nieves Basterreche
- Functional Neuroanatomy, BioCruces Bizkaia Health Research Institute, Ikerbasque Basque Foundation for Science, 48903 Barakaldo, Spain
- Integrative Research Group in Mental Health, BioCruces Bizkaia Health Research Institute, 48013 Bilbao, Spain
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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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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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5
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Kallumkal GH, Jacob R, Edwards L. Etiology and Management of Behavioral Disorder in Adults With Intellectual and Developmental Disabilities. Cureus 2021; 13:e14221. [PMID: 33816039 PMCID: PMC8011745 DOI: 10.7759/cureus.14221] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Intellectual disability (ID) encompasses a wide variety of disorders that can severely affect an individual’s cognitive, social, emotional, and physical development, even when identified early in life. Initially, individuals with such disorders had shorter life expectancies. However, medical advances have increased the life expectancy of individuals with ID similar to that of the general population. More attention must be paid to manage diseases affecting the intellectually disabled elderly, such as diabetes, cardiovascular disease, chronic constipation, and behavioral disorders.
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Affiliation(s)
- Govind H Kallumkal
- Internal Medicine, University of Florida College of Medicine, Gainesville, USA
| | - Rafik Jacob
- Internal Medicine, University of Florida College of Medicine - Jacksonville, Jacksonville, USA
| | - Linda Edwards
- Internal Medicine, University of Florida College of Medicine - Jacksonville, Jacksonville, USA
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Vanwong N, Puangpetch A, Unaharassamee W, Jiratjintana N, Na Nakorn C, Hongkaew Y, Sukasem C. Effect of 5-HT2C receptor gene polymorphism (HTR2C-759C/T) on metabolic adverse effects in Thai psychiatric patients treated with risperidone. Pharmacoepidemiol Drug Saf 2021; 30:806-813. [PMID: 33683783 DOI: 10.1002/pds.5224] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 03/03/2021] [Indexed: 01/17/2023]
Abstract
BACKGROUND The use of Atypical antipsychotics (AAPs) is related to metabolic disturbances, which put psychiatric patients at risk for cardiovascular morbidity and mortality. Evidence is emerging of genetic risk factors. The HTR2C gene is an essential candidate in pharmacogenetic studies of antipsychotic-induced metabolic effects. Nevertheless, there were inconsistent results among studies. OBJECTIVE To investigate the relationship between -759C/T, functional polymorphism of the HTR2C gene and metabolic adverse effects in Thai psychiatric patients treated with risperidone monotherapy. METHOD In this cross-sectional study, 108 psychiatric patients treated with risperidone monotherapy for ≥3 months were recruited. Anthropometric measurements and laboratory tests were obtained upon enrollment and history of treatment was reviewed from medical records. Weight gain was defined as an increase ≥7% of baseline weight. Metabolic syndrome was evaluated according to the 2005 International Diabetes Federation (IDF) Asia criteria. The -759C/T, polymorphism was genotyped. The associations between -759C/T polymorphism and metabolic side effects were analyzed. Multiple logistic regression was used for determining potential confounders. RESULTS Neither weight gain nor metabolic syndrome was significantly associated with -759C/T allelic and genotype variants of HTR2C. However, T allele of -759C/T polymorphism significantly associated with the hypertension. This association was not affected by possible confounding factors such as gender, risperidone dose, duration of treatment and family history of hypertension. CONCLUSION Our findings suggest that psychiatric patients with T allele of -759C/T polymorphism may be at higher risk for hypertension. Further study with prospective design with larger patient groups are needed.
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Affiliation(s)
- Natchaya Vanwong
- Department of Clinical Chemistry, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, 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
| | | | - Napa Jiratjintana
- Department of Psychiatry, Somdet Chaopraya Institute of Psychiatry, Bangkok, Thailand
| | - Chalitpon Na Nakorn
- Department of Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Prince of Songkla University, Songkhla, Thailand.,Programme in Translational Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Yaowaluck Hongkaew
- Advance Research and Development Laboratory, Bumrungrad International 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
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Libowitz MR, Nurmi EL. The Burden of Antipsychotic-Induced Weight Gain and Metabolic Syndrome in Children. Front Psychiatry 2021; 12:623681. [PMID: 33776816 PMCID: PMC7994286 DOI: 10.3389/fpsyt.2021.623681] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 02/17/2021] [Indexed: 12/13/2022] Open
Abstract
Antipsychotic medications are critical to child and adolescent psychiatry, from the stabilization of psychotic disorders like schizophrenia, bipolar disorder, and psychotic depression to behavioral treatment of autism spectrum disorder, tic disorders, and pediatric aggression. While effective, these medications carry serious risk of adverse events-most commonly, weight gain and cardiometabolic abnormalities. Negative metabolic consequences affect up to 60% of patients and present a major obstacle to long-term treatment. Since antipsychotics are often chronically prescribed beginning in childhood, cardiometabolic risk accumulates. An increased susceptibility to antipsychotic-induced weight gain (AIWG) has been repeatedly documented in children, particularly rapid weight gain. Associated cardiometabolic abnormalities include central obesity, insulin resistance, dyslipidemia, and systemic inflammation. Lifestyle interventions and medications such as metformin have been proposed to reduce risk but remain limited in efficacy. Furthermore, antipsychotic medications touted to be weight-neutral in adults can cause substantial weight gain in children. A better understanding of the biological underpinnings of AIWG could inform targeted and potentially more fruitful treatments; however, little is known about the underlying mechanism. As yet, modest genetic studies have nominated a few risk genes that explain only a small percentage of the risk. Recent investigations have begun to explore novel potential mechanisms of AIWG, including a role for gut microbiota and microbial metabolites. This article reviews the problem of AIWG and AP metabolic side effects in pediatric populations, proposed mechanisms underlying this serious side effect, and strategies to mitigate adverse impact. We suggest future directions for research efforts that may advance the field and lead to improved clinical interventions.
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Affiliation(s)
| | - Erika L. Nurmi
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute for Neuroscience and Human Behavior, University of California, Los Angeles, Los Angeles, CA, United States
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Zakharyan R, Ghazaryan H, Kocourkova L, Chavushyan A, Mkrtchyan A, Zizkova V, Arakelyan A, Petrek M. Association of Genetic Variants of Dopamine and Serotonin In Schizophrenia. Arch Med Res 2020; 51:13-20. [PMID: 32086104 DOI: 10.1016/j.arcmed.2019.12.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2019] [Revised: 11/29/2019] [Accepted: 12/16/2019] [Indexed: 01/03/2023]
Abstract
BACKGROUND Several studies indicated that antipsychotic treatment response and side effect manifestation can be different due to inter-individual variability in genetic variations. AIM OF THE STUDY Here we perform a case-control study to explore a potential association between schizophrenia and variants within the antipsychotic drug molecular targets (DRD1, DRD2, DRD3, HTR2A, HTR6) and metabolizing enzymes (CYP2D6, COMT) genes in Armenian population including also analysis of their possible relationship with disease clinical symptoms. METHODS A total of 18 SNPs was studied in patients with schizophrenia (n = 78) and healthy control subjects (n = 77) using MassARRAY genotyping. RESULTS We found that two studied genetic variants, namely DRD2 rs4436578*C and HTR2A rs6314*A are underrepresented in the group of patients compared to healthy subjects. After the correction for multiple testing, the rs4436578*C variant remained significant while the rs6314*A reported borderline significance. No significant differences in minor allele frequencies for other studied variants were identified. Also, a relationship between the genotypes and age of onset as well as disease duration has been detected. CONCLUSIONS The DRD2 rs4436578*C genetic variant might have protective role against schizophrenia, at least in Armenians.
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Affiliation(s)
- Roksana Zakharyan
- Institute of Molecular Biology NAS RA, Yerevan, Armenia; Russian-Armenian, University, Yerevan, Armenia.
| | - Hovsep Ghazaryan
- Andranik Chavushyan, Institute of Molecular Biology NAS RA, Yerevan, Armenia
| | - Lenka Kocourkova
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czech Republic
| | - Andranik Chavushyan
- Andranik Chavushyan, Institute of Molecular Biology NAS RA, Yerevan, Armenia
| | - Artur Mkrtchyan
- Department of Psychiatry, National Institute of Health, MH RA, Yerevan, Armenia
| | - Veronika Zizkova
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czech Republic
| | - Arsen Arakelyan
- Institute of Molecular Biology NAS RA, Yerevan, Armenia; Russian-Armenian, University, Yerevan, Armenia
| | - Martin Petrek
- Department of Pathological Physiology, Faculty of Medicine and Dentistry, Palacky University Olomouc, Olomouc, Czech Republic
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9
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Li N, Cao T, Wu X, Tang M, Xiang D, Cai H. Progress in Genetic Polymorphisms Related to Lipid Disturbances Induced by Atypical Antipsychotic Drugs. Front Pharmacol 2020; 10:1669. [PMID: 32116676 PMCID: PMC7011106 DOI: 10.3389/fphar.2019.01669] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2018] [Accepted: 12/20/2019] [Indexed: 12/11/2022] Open
Abstract
Metabolic side effects such as weight gain and disturbed lipid metabolism are often observed in the treatment of atypical antipsychotic drugs (AAPDs), which contribute to an excessive prevalence of metabolic syndrome among schizophrenic patients. Great individual differences are observed but the underlying mechanisms are still uncertain. Research on pharmacogenomics indicates that gene polymorphisms involved in the pathways controlling food intake and lipid metabolism may play a significant role. In this review, relevant genes (HTR2C, DRD2, LEP, NPY, MC4R, BDNF, MC4R, CNR1, INSIG2, ADRA2A) and genetic polymorphisms related to metabolic side effects of AAPDs especially dyslipidemia were summarized. Apart from clinical studies, in vitro and in vivo evidence is also analyzed to support related theories. The association of central and peripheral mechanisms is emphasized, enabling the possibility of using peripheral gene expression to predict the central status. Novel methodological development of pharmacogenomics is in urgent need, so as to provide references for individualized medication and further to shed some light on the mechanisms underlying AAPD-induced lipid disturbances.
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Affiliation(s)
- Nana Li
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Ting Cao
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Xiangxin Wu
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Mimi Tang
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha, China.,Institute of Hospital Pharmacy, Xiangya Hospital, Central South University, Changsha, China
| | - Daxiong Xiang
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
| | - Hualin Cai
- Department of Pharmacy, The Second Xiangya Hospital of Central South University, Changsha, China.,Institute of Clinical Pharmacy, Central South University, Changsha, China
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Das S, Dey JK, Prabhu N, David S, Kumar A, Braganza D, Shanthi M. Retraction: Association Between 5‐HTR2C –759C/T (rs3813929) and –697G/C (rs518147) Gene Polymorphisms and Risperidone‐Induced Insulin Resistance Syndrome in an Indian Population. J Clin Pharmacol 2017; 58:399. [DOI: 10.1002/jcph.1012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Maciejewski M, Lounkine E, Whitebread S, Farmer P, DuMouchel W, Shoichet BK, Urban L. Reverse translation of adverse event reports paves the way for de-risking preclinical off-targets. eLife 2017; 6. [PMID: 28786378 PMCID: PMC5548487 DOI: 10.7554/elife.25818] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Accepted: 07/04/2017] [Indexed: 01/06/2023] Open
Abstract
The Food and Drug Administration Adverse Event Reporting System (FAERS) remains the primary source for post-marketing pharmacovigilance. The system is largely un-curated, unstandardized, and lacks a method for linking drugs to the chemical structures of their active ingredients, increasing noise and artefactual trends. To address these problems, we mapped drugs to their ingredients and used natural language processing to classify and correlate drug events. Our analysis exposed key idiosyncrasies in FAERS, for example reports of thalidomide causing a deadly ADR when used against myeloma, a likely result of the disease itself; multiplications of the same report, unjustifiably increasing its importance; correlation of reported ADRs with public events, regulatory announcements, and with publications. Comparing the pharmacological, pharmacokinetic, and clinical ADR profiles of methylphenidate, aripiprazole, and risperidone, and of kinase drugs targeting the VEGF receptor, demonstrates how underlying molecular mechanisms can emerge from ADR co-analysis. The precautions and methods we describe may enable investigators to avoid confounding chemistry-based associations and reporting biases in FAERS, and illustrate how comparative analysis of ADRs can reveal underlying mechanisms. DOI:http://dx.doi.org/10.7554/eLife.25818.001 New treatments are tested in clinical trials before they are licensed for use in patients, but until the drugs are available for prescribing it’s not always possible to identify every side effect. When the drugs enter the clinic, they might be prescribed to patients with multiple medical conditions, or combined with other treatments. The drugs may also be taken for longer periods of time than tested in trials. It is therefore common for new adverse reactions to emerge after a drug is in widespread use. The FDA Adverse Event Reporting System (FAERS) is a surveillance system used in the United States for reporting drug side effects after new treatments have been licensed. Healthcare professionals and patients can submit reports to the database, logging the adverse drug reactions that they have experienced. FAERS currently contains over 8.5 million entries, and is growing all the time. However, Maciejewski et al. show that the database has several shortcomings that are reducing its usefulness. For instance, on average any given drug will have 16 different names in the system; this makes it challenging to group all of the reported side effects so that trends and patterns can be correctly seen. To address this first problem, Maciejewski et al. grouped together drugs according to their active ingredients, rather than their name. This made it much easier to account for subsequent, and more crucial conflating factors such as multiple reports for the same adverse event and patient, or cases where adverse reactions were confused with the diseases that the drugs are trying to treat. For example, diabetes was listed as a side effect for drugs used to treat diabetes. Building on this cleaned-up dataset, Maciejewski et al. monitored how adverse event signals evolve over time and uncovered biases that were hard to see otherwise. For example, side-effects were reported more often when drugs were in the news. More strikingly, this bias affected not only the drug in question, but also other drugs that acted in the same way or on the same molecular target. The computational method developed by Maciejewski et al. allows the data in FAERS to be combined and corrected, making easier to evaluate the safety of different medicines. The link between adverse side effects and the molecular targets of the drug, via the ingredient’s chemical structure, furthermore makes it possible to analyze such clinical data reliably by using chemical and genetic information. In the future, this method could also help to identify previously unknown side effects and the biological mechanisms behind them. This could help researchers to develop new drugs with improved side effect profiles. DOI:http://dx.doi.org/10.7554/eLife.25818.002
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Affiliation(s)
| | - Eugen Lounkine
- Novartis Institutes for Biomedical Research, Cambridge, United States
| | - Steven Whitebread
- Novartis Institutes for Biomedical Research, Cambridge, United States
| | - Pierre Farmer
- Novartis Institutes for Biomedical Research, Basel, Switzerland
| | - William DuMouchel
- Oracle Health Sciences, Oracle Health Sciences, Burlington, United States
| | | | - Laszlo Urban
- Novartis Institutes for Biomedical Research, Cambridge, United States
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