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Li L, Hernandez CC, Gimenez LE, Xu B, Dahir NS, Swati, Birnbaum SG, Cone RD, Liu C. Functional coupling between MC4R and Kir7.1 contributes to clozapine-induced hyperphagia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.07.597973. [PMID: 38895206 PMCID: PMC11185771 DOI: 10.1101/2024.06.07.597973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2024]
Abstract
Most antipsychotic drugs (APDs) induce hyperphagia and weight gain. However, the neural mechanisms are poorly understood, partly due to challenges replicating their metabolic effects in rodents. Here, we report a new mouse model that recapitulates overeating induced by clozapine, a widely prescribed APD. Our study shows that clozapine boosts food intake by inhibiting melanocortin 4 receptor (MC4R) expressing neurons in the paraventricular nucleus of the hypothalamus. Interestingly, neither clozapine nor risperidone, another commonly used APD, affects receptor-ligand binding or the canonical Gαs signaling of MC4R. Instead, they inhibit neuronal activity by enhancing the coupling between MC4R and Kir7.1, leading to the open state of the inwardly rectifying potassium channel. Deletion of Kir7.1 in Mc4r-Cre neurons prevents clozapine-induced weight gain, while treatment with a selective Kir7.1 blocker mitigates overeating in clozapine-fed mice. Our findings unveil a molecular pathway underlying the effect of APDs on feeding behavior and suggest its potential as a therapeutic target.
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Genetic association of the rs17782313 polymorphism with antipsychotic-induced weight gain. Psychopharmacology (Berl) 2023; 240:899-908. [PMID: 36757449 PMCID: PMC10006246 DOI: 10.1007/s00213-023-06331-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 01/30/2023] [Indexed: 02/10/2023]
Abstract
RATIONALE Weight gain is a frequent side effect of treatment with SGAs (second-generation antipsychotics) and a leading cause for nonadherence. Several candidate genes have been identified that could influence the amount of AIWG (antipsychotic-induced weight gain). The polymorphism rs17782313 near the MC4R (human melanocortin 4 receptor gene) was strongly associated with obesity in a large scale GWAS (genome wide association study), yet previous studies investigating its impact on AIWG did not lead to a definite conclusion regarding its effect. In particular, they were all relatively short and had a naturalistic design. OBJECTIVE We therefore examined the influence of the rs17782313 polymorphism on SGA-related weight gain. METHODS Participants of a multicenter randomized, controlled, double-blind study comparing two treatment strategies in individuals with schizophrenia or schizoaffective disorder were genotyped using a rapid-cycle polymerase chain reaction. Up to 252 individuals completed the first 2 weeks (phase I), 212 the entire 8 weeks (hence 'completers'). Patients received either amisulpride or olanzapine or both consecutively. Thirty-seven had their first episode. Weight gain occurring in different genotypes was statistically compared and confounding factors were adjusted by stepwise multiple linear regression. A correction for multiple testing was included. RESULTS Within 212 'completers', carriers of the C allele had a higher absolute weight gain than those homozygous for the T allele (2.6 kg vs. 1.2 kg), though this observation was not significant (P = 0.063). In the amisulpride subpopulation, this association appeared stronger and reached significance (2.5 kg vs. 0.7 kg, P = 0.043), though failed to remain significant after correction for multiple testing. A stepwise multiple linear regression showed a significant association in both the whole study population (P < 0.001) and the amisulpride subpopulation (P < 0.001). CONCLUSION Our results indicate that the rs17782313 polymorphism might influence antipsychotic-induced weight gain and therefore confirm some of the earlier conclusions.
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Ye W, Xing J, Yu Z, Hu X, Zhao Y. Mechanism and treatments of antipsychotic-induced weight gain. Int J Obes (Lond) 2023; 47:423-433. [PMID: 36959286 DOI: 10.1038/s41366-023-01291-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/26/2023] [Accepted: 02/28/2023] [Indexed: 03/25/2023]
Abstract
The long-term use of antipsychotics (APs) may cause a variety of diseases, such as metabolic syndrome, antipsychotic-induced weight gain (AIWG), and even obesity. This paper reviews the various mechanisms of AIWG and obesity in detail, involving genetics, the central nervous system, the neuroendocrine system, and the gut microbiome. The common drug and non-drug therapies used in clinical practice are also introduced, providing the basis for research on the molecular mechanisms and the future selection of treatments.
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Affiliation(s)
- Wujie Ye
- School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Jingyu Xing
- School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Zekai Yu
- School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Xingang Hu
- Internal encephalopathy of traditional Chinese medicine, Dongfang Hospital of Beijing University of Chinese Medicine, Beijing, 100078, China.
| | - Yan Zhao
- School of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, 100029, China.
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4
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Genetic Testing for Antipsychotic Pharmacotherapy: Bench to Bedside. Behav Sci (Basel) 2021; 11:bs11070097. [PMID: 34209185 PMCID: PMC8301006 DOI: 10.3390/bs11070097] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Revised: 06/12/2021] [Accepted: 06/23/2021] [Indexed: 11/24/2022] Open
Abstract
There is growing research interest in learning the genetic basis of response and adverse effects with psychotropic medications, including antipsychotic drugs. However, the clinical utility of information from genetic studies is compromised by their controversial results, primarily due to relatively small effect and sample sizes. Clinical, demographic, and environmental differences in patient cohorts further explain the lack of consistent results from these genetic studies. Furthermore, the availability of psychopharmacological expertise in interpreting clinically meaningful results from genetic assays has been a challenge, one that often results in suboptimal use of genetic testing in clinical practice. These limitations explain the difficulties in the translation of psychopharmacological research in pharmacogenetics and pharmacogenomics from bench to bedside to manage increasingly treatment-refractory psychiatric disorders, especially schizophrenia. Although these shortcomings question the utility of genetic testing in the general population, the commercially available genetic assays are being increasingly utilized to optimize the effectiveness of psychotropic medications in the treatment-refractory patient population, including schizophrenia. In this context, patients with treatment-refractory schizophrenia are among of the most vulnerable patients to be exposed to the debilitating adverse effects from often irrational and high-dose antipsychotic polypharmacy without clinically meaningful benefits. The primary objective of this comprehensive review is to analyze and interpret replicated findings from the genetic studies to identify specific genetic biomarkers that could be utilized to enhance antipsychotic efficacy and tolerability in the treatment-refractory schizophrenia population.
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5
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Bothos E, Ntoumou E, Kelaidoni K, Roukas D, Drakoulis N, Papasavva M, Karakostis FA, Moulos P, Karakostis K. Clinical pharmacogenomics in action: design, assessment and implementation of a novel pharmacogenetic panel supporting drug selection for diseases of the central nervous system (CNS). J Transl Med 2021; 19:151. [PMID: 33858454 PMCID: PMC8048316 DOI: 10.1186/s12967-021-02816-3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Accepted: 04/02/2021] [Indexed: 12/18/2022] Open
Abstract
Background Pharmacogenomics describes the link between gene variations (polymorphisms) and drug responses. In view of the implementation of precision medicine in personalized healthcare, pharmacogenetic tests have recently been introduced in the clinical practice. However, the translational aspects of such tests have been limited due to the lack of robust population-based evidence. Materials In this paper we present a novel pharmacogenetic panel (iDNA Genomics-PGx–CNS or PGx–CNS), consisting of 24 single nucleotide polymorphisms (SNPs) on 13 genes involved in the signaling or/and the metabolism of 28 approved drugs currently administered to treat diseases of the Central Nervous System (CNS). We have tested the PGx–CNS panel on 501 patient-derived DNA samples from a southeastern European population and applied biostatistical analyses on the pharmacogenetic associations involving drug selection, dosing and the risk of adverse drug events (ADEs). Results Results reveal the occurrences of each SNP in the sample and a strong correlation with the European population. Nonlinear principal component analysis strongly indicates co-occurrences of certain variants. The metabolization efficiency (poor, intermediate, extensive, ultra-rapid) and the frequency of clinical useful pharmacogenetic, associations in the population (drug relevance), are also described, along with four exemplar clinical cases illustrating the strong potential of the PGx–CNS panel, as a companion diagnostic assay. It is noted that pharmacogenetic associations involving copy number variations (CNVs) or the HLA gene were not included in this analysis. Conclusions Overall, results illustrate that the PGx–CNS panel is a valuable tool supporting therapeutic medical decisions, urging its broad clinical implementation. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-021-02816-3.
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Affiliation(s)
- E Bothos
- HybridStat Predictive Analytics, Athens, Greece.,Institute of Communications and Computer Systems, National Technical University of Athens, Athens, Greece
| | - E Ntoumou
- iDNA Genomics Private Company, Evrota 25, Kifissia, 145 64, Athens, Greece
| | - K Kelaidoni
- iDNA Genomics Private Company, Evrota 25, Kifissia, 145 64, Athens, Greece
| | - D Roukas
- Department of Psychiatry, Army Hospital (NIMTS), 417 Veterans, 115 21, Athens, Greece
| | - N Drakoulis
- Research Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, Zografou, Greece
| | - M Papasavva
- Research Group of Clinical Pharmacology and Pharmacogenomics, Faculty of Pharmacy, School of Health Sciences, National and Kapodistrian University of Athens, Panepistimiopolis, 15771, Zografou, Greece
| | - F A Karakostis
- Paleoanthropology, Senckenberg Centre for Human Evolution and Palaeoenvironment, Department of Geosciences, University of Tübingen, Tübingen, Germany
| | - P Moulos
- HybridStat Predictive Analytics, Athens, Greece.,Institute for Fundamental Biomedical Research, Biomedical Sciences Research Center 'Alexander Fleming', 34 Fleming str, 16672, Athens, Vari, Greece
| | - K Karakostis
- iDNA Genomics Private Company, Evrota 25, Kifissia, 145 64, Athens, Greece.
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6
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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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Yuen JWY, Kim DD, Procyshyn RM, Panenka WJ, Honer WG, Barr AM. A Focused Review of the Metabolic Side-Effects of Clozapine. Front Endocrinol (Lausanne) 2021; 12:609240. [PMID: 33716966 PMCID: PMC7947876 DOI: 10.3389/fendo.2021.609240] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 01/15/2021] [Indexed: 12/13/2022] Open
Abstract
The second generation antipsychotic drug clozapine represents the most effective pharmacotherapy for treatment-resistant psychosis. It is also associated with low rates of extrapyramidal symptoms and hyperprolactinemia compared to other antipsychotic drugs. However, clozapine tends to be underutilized in clinical practice due to a number of disabling and serious side-effects. These are characterized by a constellation of metabolic side-effects which include dysregulation of glucose, insulin, plasma lipids and body fat. Many patients treated with clozapine go on to develop metabolic syndrome at a higher rate than the general population, which predisposes them for Type 2 diabetes mellitus and cardiovascular disease. Treatments for the metabolic side-effects of clozapine vary in their efficacy. There is also a lack of knowledge about the underlying physiology of how clozapine exerts its metabolic effects in humans. In the current review, we focus on key studies which describe how clozapine affects each of the main symptoms of the metabolic syndrome, and cover some of the treatment options. The clinical data are then discussed in the context of preclinical studies that have been conducted to identify the key biological substrates involved, in order to provide a better integrated overview. Suggestions are provided about key areas for future research to better understand how clozapine causes metabolic dysregulation.
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Affiliation(s)
- Jessica W. Y. Yuen
- Department of Psychiatry, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - David D. Kim
- Department of Anesthesiology, Pharmacology and Therapeutics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Ric M. Procyshyn
- Department of Psychiatry, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - William J. Panenka
- Department of Psychiatry, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - William G. Honer
- Department of Psychiatry, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Alasdair M. Barr
- Department of Anesthesiology, Pharmacology and Therapeutics, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
- *Correspondence: Alasdair M. Barr,
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8
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Qin L, Tiwari AK, Zai CC, Freeman N, Zhai D, Liu F, Stachelscheid H, Mergenthaler P, Kennedy JL, Müller DJ. Regulation of melanocortin-4-receptor (MC4R) expression by SNP rs17066842 is dependent on glucose concentration. Eur Neuropsychopharmacol 2020; 37:39-48. [PMID: 32684494 DOI: 10.1016/j.euroneuro.2020.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 05/18/2020] [Accepted: 05/24/2020] [Indexed: 11/17/2022]
Abstract
Melanocortin-4-receptor (MC4R) gene codes for a G-protein-coupled receptor that is highly expressed in the hypothalamus and involved in the regulation of appetite. Single-nucleotide polymorphisms (SNPs) in the MC4R gene region have been associated with obesity, type 2-diabetes (T2D) and with antipsychotic-induced weight gain. Of these, rs17066842 (G>A) in the MC4R promoter region is the top variant associated with obesity and diabetes. In this study, we investigated the effect of rs17066842 on MC4R expression at various glucose concentrations using reporter gene expression in the SH-SY5Y cell line and regulation of MC4R expression in human cerebral organoids. We observed that higher glucose concentrations significantly reduced MC4R mRNA expression in SH-SY5Y cells. In addition, at high glucose concentrations, the luciferase reporter plasmid containing the MC4R promoter insert with the G-allele of rs170066842 showed significantly reduced activity compared to the A-allele carrying plasmid. The immediate early gene product, early growth-response 1 (EGR-1), was identified to bind to the sequence containing the G-allele at rs17066842 but not to the A-allele-containing sequence. Interestingly, in human induced pluripotent stem cell (hiPSC)-derived cerebral organoids, we observed increased MC4R expression in response to high glucose exposure. These opposite observations might suggest that glucose regulation is complex and may be cell-specific. This study provides evidence that rs17066842 regulates MC4R gene expression through binding of EGR-1 and that this process is influenced by glucose concentration.
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Affiliation(s)
- Li Qin
- Pharmacogenetics Research Clinic, Molecular Brain Science, Centre for Addiction and Mental Health, Toronto M5T 1R8, ON, Canada
| | - Arun K Tiwari
- Pharmacogenetics Research Clinic, Molecular Brain Science, Centre for Addiction and Mental Health, Toronto M5T 1R8, ON, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, M5T 1R8, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8, Canada
| | - Clement C Zai
- Pharmacogenetics Research Clinic, Molecular Brain Science, Centre for Addiction and Mental Health, Toronto M5T 1R8, ON, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, M5T 1R8, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8, Canada
| | - Natalie Freeman
- Pharmacogenetics Research Clinic, Molecular Brain Science, Centre for Addiction and Mental Health, Toronto M5T 1R8, ON, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, M5T 1R8, Canada
| | - Dongxu Zhai
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, M5T 1R8, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8, Canada
| | - Fang Liu
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, M5T 1R8, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8, Canada
| | - Harald Stachelscheid
- Berlin Institute of Health, Stem Cell Core Facility, 13353 Berlin, Germany; Charité - Universitätsmedizin Berlin, Charité-BIH Centrum Therapy and Research 13353 Berlin, Germany
| | - Philipp Mergenthaler
- Charité-Universitätsmedizin Berlin, Department of Experimental Neurology, Department of Neurology, Center for Stroke Research Berlin, 10117 Berlin, Germany; Berlin Institute of Health (BIH), 10178 Berlin, Germany
| | - James L Kennedy
- Pharmacogenetics Research Clinic, Molecular Brain Science, Centre for Addiction and Mental Health, Toronto M5T 1R8, ON, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, M5T 1R8, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8, Canada
| | - Daniel J Müller
- Pharmacogenetics Research Clinic, Molecular Brain Science, Centre for Addiction and Mental Health, Toronto M5T 1R8, ON, Canada; Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, M5T 1R8, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario M5T 1R8, Canada.
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9
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Molecular pathway analysis associates alterations in obesity-related genes and antipsychotic-induced weight gain. Acta Neuropsychiatr 2020; 32:72-83. [PMID: 31619305 DOI: 10.1017/neu.2019.41] [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] [Indexed: 12/31/2022]
Abstract
OBJECTIVE Antipsychotics often induce excessive weight gain. We hypothesised that individuals with genetic variations related to known obesity-risk genes have an increased risk of excessive antipsychotic-induced weight gain (AIWG). This hypothesis was tested in a subset of the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) trial data set. METHODS The CATIE trial compared effects and side effects of five different antipsychotics through an 18-month period. Based on the maximum weight gain recorded, excessive weight gain was defined as >7% weight gain. Cytoscape and GeneMANIA were instrumental in composing a molecular pathway from eight selected genes linked to obesity. Genetic information on a total of 495.172 single-nucleotide polymorphisms (SNPs) were available from 765 (556 males) individuals. Enrichment test was conducted through ReactomePA and Bioconductor. A permutation test was performed, testing the generated pathway against 105 permutated pathways (p ≤ 0.05). In addition, a standard genome-wide association study (GWAS) analysis was performed. RESULT GWAS analysis did not detect significant differences related to excessive weight gain. The pathway generated contained 28 genes. A total of 2067 SNPs were significantly expressed (p < 0.01) within this pathway when comparing excessive weight gainers to the rest of the sample. Affected genes including PPARG and PCSK1 were not previously related to treatment-induced weight gain. CONCLUSIONS The molecular pathway composed from high-risk obesity genes was shown to overlap with genetics of patients who gained >7% weight gain during the CATIE trial. This suggests that genes related to obesity compose a pathway of increased risk of excessive AIWG. Further independent analyses are warranted that may confirm or clarify the possible reasoning behind.
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10
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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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11
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Chiang KM, Chang HC, Yang HC, Chen CH, Chen HH, Lee WJ, Pan WH. Genome-wide association study of morbid obesity in Han Chinese. BMC Genet 2019; 20:97. [PMID: 31852448 PMCID: PMC6921553 DOI: 10.1186/s12863-019-0797-x] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Accepted: 11/28/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND As obesity is becoming pandemic, morbid obesity (MO), an extreme type of obesity, is an emerging issue worldwide. It is imperative to understand the factors responsible for huge weight gain in certain populations in the modern society. Very few genome-wide association studies (GWAS) have been conducted on MO patients. This study is the first MO-GWAS study in the Han-Chinese population in Asia. METHODS We conducted a two-stage GWAS with 1110 MO bariatric patients (body mass index [BMI] ≥ 35 kg/m2) from Min-Sheng General Hospital, Taiwan. The first stage involved 575 patients, and 1729 sex- and age-matched controls from the Taiwan Han Chinese Cell and Genome Bank. In the second stage, another 535 patients from the same hospital were genotyped for 52 single nucleotide polymorphisms (SNPs) discovered in the first stage, and 9145 matched controls from Taiwan Biobank were matched for confirmation analysis. RESULTS The results of the joint analysis for the second stage revealed six top ranking SNPs, including rs8050136 (p-value = 7.80 × 10- 10), rs9939609 (p-value = 1.32 × 10- 9), rs1421085 (p-value = 1.54 × 10- 8), rs9941349 (p-value = 9.05 × 10- 8), rs1121980 (p-value = 7.27 × 10- 7), and rs9937354 (p-value = 6.65 × 10- 7), which were all located in FTO gene. Significant associations were also observed between MO and RBFOX1, RP11-638 L3.1, TMTC1, CBLN4, CSMD3, and ERBB4, respectively, using the Bonferroni correction criteria for 52 SNPs (p < 9.6 × 10- 4). CONCLUSION The most significantly associated locus of MO in the Han-Chinese population was the well-known FTO gene. These SNPs located in intron 1, may include the leptin receptor modulator. Other significant loci, showing weak associations with MO, also suggested the potential mechanism underlying the disorders with eating behaviors or brain/neural development.
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Affiliation(s)
- Kuang-Mao Chiang
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - Heng-Cheng Chang
- Department of Gynecology and Obstetrics, School of Medicine, Taipei Medical University, Taipei City, Taiwan
| | - Hsin-Chou Yang
- Institute of Statistical Science, Academia Sinica, Taipei City, Taiwan
| | - Chien-Hsiun Chen
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - Hsin-Hung Chen
- Department of Nutrition and Health Science, Chang Jung Christian University, Tainan City, Taiwan
| | - Wei-Jei Lee
- Department of Surgery, Min-Sheng General Hospital, Taoyuan City, Taiwan
| | - Wen-Harn Pan
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
- Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan
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12
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Zhuravleva EO, Vel’ts NY, Snegireva II, Kutekhova GV, Alyautdin RN. Pharmacogenetic Tests for Antipsychotic-Induced Weight Gain. Pharm Chem J 2019. [DOI: 10.1007/s11094-019-02059-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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13
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Maciukiewicz M, Tiwari AK, Zai CC, Gorbovskaya I, Laughlin CP, Nurmi EL, Liebermann JA, Meltzer HY, Kennedy JL, Müller DJ. Genome-wide association study on antipsychotic-induced weight gain in Europeans and African-Americans. Schizophr Res 2019; 212:204-212. [PMID: 31447353 DOI: 10.1016/j.schres.2019.07.022] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2018] [Revised: 06/13/2019] [Accepted: 07/11/2019] [Indexed: 01/07/2023]
Abstract
BACKGROUND Antipsychotic (AP) medications are the first line of treatment for schizophrenia. However, most conferr a risk of antipsychotic-induced weight gain (AIWG). The objective of this investigation was to conduct a genome-wide association study (GWAS) of AIWG, followed by comprehensive, post-GWAS approaches. METHODS We investigated n = 201 schizophrenia or schizoaffective disorder patients of European and African American ancestry who were treated primarily with clozapine or olanzapine. We conducted a genome-wide association analysis for AIWG, defined primarily as a percentage of weight change from baseline. RESULTS When examining Europeans (n = 147), we noticed an association between rs62097526 (β = 0.39, p = 3.59 × 10-6, CADD = 2.213) variant, located downstream of the CIDEA gene, which is considered a risk factor for AIWG. In the entire sample, we observed a significant association between rs1525085 (β = 0.411, p = 3.15 × 10-9) variant of the DGKB gene and AIWG. The association was nominally significant in Europeans (β = 0.271, p = 0.002) and African Americans (β = 0.579, p = 5.73 × 10-5) with the same risk allele. Our top genes (p < 5 × 10-5) were enriched in the GWAS catalog for the risk of obesity and interacted with the known risk factors for obesity (G6PD) and diabetes (IRS1). In addition, these genes are targeted by miRNAs related to schizophrenia (mir-34a) and obesity (mir-19b). However, our polygenic risk score analyses did not provide support for major genetic overlap between obesity and the risk of AIWG. CONCLUSIONS In summary, we propose that the CIDEA and DGKB genes are risk factors for AIWG in transethnic populations. Additionally, our evidence suggests that the G6PD and IRS1 gene-related pathways might be involved in AIWG.
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Affiliation(s)
- Malgorzata Maciukiewicz
- Pharmacogenetic Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Arun K Tiwari
- Pharmacogenetic Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Clement C Zai
- Pharmacogenetic Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Ilona Gorbovskaya
- Pharmacogenetic Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Christopher P Laughlin
- Division of Child and Adolescent Psychiatry, UCLA Semel Institute for Neuroscience, Los Angeles, California, USA
| | - Erika L Nurmi
- Division of Child and Adolescent Psychiatry, UCLA Semel Institute for Neuroscience, Los Angeles, California, USA
| | - Jeffrey A Liebermann
- Department of Psychiatry, College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Herbert Y Meltzer
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Chicago, IL, USA
| | - James L Kennedy
- Pharmacogenetic Research Clinic, 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, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Daniel J Müller
- Pharmacogenetic Research Clinic, 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, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
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14
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Zhang Y, Ren H, Wang Q, Deng W, Yue W, Yan H, Tan L, Chen Q, Yang G, Lu T, Wang L, Zhang F, Yang J, Li K, Lv L, Tan Q, Zhang H, Ma X, Yang F, Li L, Wang C, Zhang D, Zhao L, Wang H, Li X, Guo W, Hu X, Tian Y, Ma X, Li T. Testing the role of genetic variation of the MC4R gene in Chinese population in antipsychotic-induced metabolic disturbance. SCIENCE CHINA-LIFE SCIENCES 2019; 62:535-543. [PMID: 30929193 DOI: 10.1007/s11427-018-9489-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/05/2018] [Accepted: 11/15/2018] [Indexed: 02/05/2023]
Abstract
Antipsychotic-induced metabolic disturbance (AIMD) is a common adverse effect of antipsychotics with genetics partly underpinning variation in susceptibility among schizophrenia patients. Melanocortin4 receptor (MC4R) gene, one of the candidate genes for AIMD, has been under-studied in the Chinese patients. We conducted a pharmacogenetic study in a large cohort of Chinese patients with schizophrenia. In this study, we investigated the genetic variation of MC4R in Chinese population by genotyping two SNPs (rs489693 and rs17782313) in 1,991 Chinese patients and examined association of these variants with the metabolic effects that were often observed to be related to AIMD. Metabolic measures, including body mass index (BMI), waist circumference (WC), glucose, triglyceride, high-density lipoprotein (HDL), and low-density lipoprotein (LDL) levels were assessed at baseline and after 6-week antipsychotic treatment. We found that interaction of SNP×medication status (drug-naïve/medicated) was significantly associated with BMI, WC, and HDL change %, respectively. Both SNPs were significantly associated with baseline BMI and WC in the medicated group. Moderate association of rs489693 with WC, Triglyceride, and HDL change % were observed in the whole sample. In the drug-naïve group, we found recessive effects of rs489693 on BMI gain more than 7%, WC and Triglyceride change %, with AA incurring more metabolic adverse effects. In conclusion, the association between rs489693 and the metabolic measures is ubiquitous but moderate. Rs17782313 is less involved in AIMD. Two SNPs confer risk of AIMD to patients treated with different antipsychotics in a similar way.
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Affiliation(s)
- Yamin Zhang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Hongyan Ren
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Qiang Wang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Wei Deng
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Weihua Yue
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, 100191, China
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Hao Yan
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, 100191, China
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Liwen Tan
- Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Qi Chen
- Beijing Anding Hospital, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, 100088, China
| | - Guigang Yang
- Beijing HuiLongGuan Hospital, Beijing, 100096, China
| | - Tianlan Lu
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, 100191, China
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Lifang Wang
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, 100191, China
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Fuquan Zhang
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, 214151, China
| | - Jianli Yang
- Institute of Mental Health, Tianjin Anding Hospital, Tianjin, 300070, China
- Tianjin Medical University General Hospital, Tianjin Medical University, Tianjin, 300070, China
| | - Keqing Li
- Hebei Mental Health Center, Baoding, 71000, China
| | - Luxian Lv
- Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, 453002, China
| | - Qingrong Tan
- Department of Psychiatry, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, China
| | - Hongyan Zhang
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, 100191, China
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Xin Ma
- Beijing Anding Hospital, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, 100088, China
| | - Fude Yang
- Beijing HuiLongGuan Hospital, Beijing, 100096, China
| | - Lingjiang Li
- Second Xiangya Hospital, Central South University, Changsha, 410011, China
| | - Chuanyue Wang
- Beijing Anding Hospital, Beijing Institute for Brain Disorders, Capital Medical University, Beijing, 100088, China
| | - Dai Zhang
- Peking University Sixth Hospital (Institute of Mental Health), Beijing, 100191, China
- National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health (Peking University), Beijing, 100191, China
| | - Liansheng Zhao
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Huiyao Wang
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Xiaojing Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Wanjun Guo
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Xun Hu
- Huaxi Biobank, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Yang Tian
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Xiaohong Ma
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, 610041, China
| | - Tao Li
- Mental Health Center and Psychiatric Laboratory, the State Key Laboratory of Biotherapy, West China Hospital of Sichuan University, Chengdu, 610041, China.
- West China Brain Research Center, West China Hospital of Sichuan University, Chengdu, 610041, China.
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15
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Abstract
PURPOSE OF REVIEW This review highlights recent advances in the investigation of genetic factors for antipsychotic response and side effects. RECENT FINDINGS Antipsychotics prescribed to treat psychotic symptoms are variable in efficacy and propensity for causing side effects. The major side effects include tardive dyskinesia, antipsychotic-induced weight gain (AIWG), and clozapine-induced agranulocytosis (CIA). Several promising associations of polymorphisms in genes including HSPG2, CNR1, and DPP6 with tardive dyskinesia have been reported. In particular, a functional genetic polymorphism in SLC18A2, which is a target of recently approved tardive dyskinesia medication valbenazine, was associated with tardive dyskinesia. Similarly, several consistent findings primarily from genes modulating energy homeostasis have also been reported (e.g. MC4R, HTR2C). CIA has been consistently associated with polymorphisms in the HLA genes (HLA-DQB1 and HLA-B). The association findings between glutamate system genes and antipsychotic response require additional replications. SUMMARY The findings to date are promising and provide us a better understanding of the development of side effects and response to antipsychotics. However, more comprehensive investigations in large, well characterized samples will bring us closer to clinically actionable findings.
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16
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Raben AT, Marshe VS, Chintoh A, Gorbovskaya I, Müller DJ, Hahn MK. The Complex Relationship between Antipsychotic-Induced Weight Gain and Therapeutic Benefits: A Systematic Review and Implications for Treatment. Front Neurosci 2018; 11:741. [PMID: 29403343 PMCID: PMC5786866 DOI: 10.3389/fnins.2017.00741] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2017] [Accepted: 12/20/2017] [Indexed: 12/15/2022] Open
Abstract
Background: Antipsychotic-induced weight gain (AIWG) and other adverse metabolic effects represent serious side effects faced by many patients with psychosis that can lead to numerous comorbidities and which reduce the lifespan. While the pathophysiology of AIWG remains poorly understood, numerous studies have reported a positive association between AIWG and the therapeutic benefit of antipsychotic medications. Objectives: To review the literature to (1) determine if AIWG is consistently associated with therapeutic benefit and (2) investigate which variables may mediate such an association. Data Sources: MEDLINE, Google Scholar, Cochrane Database and PsycINFO databases were searched for articles containing all the following exploded MESH terms: schizophrenia [AND] antipsychotic agents/neuroleptics [AND] (weight gain [OR] lipids [OR] insulin [OR] leptin) [AND] treatment outcome. Results were limited to full-text, English journal articles. Results: Our literature search uncovered 31 independent studies which investigated an AIWG-therapeutic benefit association with a total of 6063 enrolled individuals diagnosed with schizophrenia or another serious mental illness receiving antipsychotic medications. Twenty-two studies found a positive association while, 10 studies found no association and one study reported a negative association. Study variables including medication compliance, sex, ethnicity, or prior antipsychotic exposure did not appear to consistently affect the AIWG-therapeutic benefit relationship. In contrast, there was some evidence that controlling for baseline BMI/psychopathology, duration of treatment and specific agent studied [i.e., olanzapine (OLZ) or clozapine (CLZ)] strengthened the relationship between AIWG and therapeutic benefit. Limitations: There were limitations of the reviewed studies in that many had small sample sizes, and/or were retrospective. The heterogeneity of the studies also made comparisons difficult and publication bias was not controlled for. Conclusions: An AIWG-therapeutic benefit association may exist and is most likely to be observed in OLZ and CLZ-treated patients. The clinical meaningfulness of this association remains unclear and weight gain and other metabolic comorbidities should be identified and treated to the same targets as the general population. Further research should continue to explore the links between therapeutic benefit and metabolic health with emphasis on both pre-clinical work and well-designed prospective clinical trials examining metabolic parameters associated, but also occurring independently to AIWG.
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Affiliation(s)
- Alex T Raben
- Schizophrenia Program, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Victoria S Marshe
- Pharmacogenetic Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Araba Chintoh
- Schizophrenia Program, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Ilona Gorbovskaya
- Pharmacogenetic Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada
| | - Daniel J Müller
- Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Pharmacogenetic Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Margaret K Hahn
- Schizophrenia Program, Centre for Addiction and Mental Health, Toronto, ON, Canada.,Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
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17
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Genetic variants impacting metabolic outcomes among people on clozapine: a systematic review and meta-analysis. Psychopharmacology (Berl) 2017; 234:2989-3008. [PMID: 28879574 DOI: 10.1007/s00213-017-4728-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 08/23/2017] [Indexed: 12/11/2022]
Abstract
Clozapine is the gold standard medication for treatment refractory schizophrenia, but unfortunately, its use is also associated with many adverse metabolic side effects. There may be a strong genetic component to the development of these adverse effects. We undertook a systematic review to examine the evidence for genetic variation being associated with secondary metabolic outcomes in patients with schizophrenia on clozapine, under both longitudinal and cross-sectional study designs. We limited studies to those examining patients definitely taking clozapine, unlike prior reviews that have examined metabolic effects of patients taking a range of antipsychotic medications. We found associations with outcomes such as increases in BMI and metabolic syndrome for variants in genes such as LEP and HTR2C. Meta-analysis of rs381328 in HTR2C revealed that the presence of the T allele led to a 0.63 kg/m2 (95% CI - 1.06 to - 0.19; p = 0.005) decrease in BMI compared to the C allele. Study and population heterogeneity and lack of statistical power among reviewed articles mean that evidence is lacking to warrant prophylactic genotyping of patients commencing clozapine to predict those at increased risk of developing adverse metabolic effects. Further efforts to establish collaborative consortia, consensus around study design and replication studies in independent populations should be encouraged.
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18
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The importance of gene-environment interactions in human obesity. Clin Sci (Lond) 2017; 130:1571-97. [PMID: 27503943 DOI: 10.1042/cs20160221] [Citation(s) in RCA: 108] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2016] [Accepted: 05/23/2016] [Indexed: 12/16/2022]
Abstract
The worldwide obesity epidemic has been mainly attributed to lifestyle changes. However, who becomes obese in an obesity-prone environment is largely determined by genetic factors. In the last 20 years, important progress has been made in the elucidation of the genetic architecture of obesity. In parallel with successful gene identifications, the number of gene-environment interaction (GEI) studies has grown rapidly. This paper reviews the growing body of evidence supporting gene-environment interactions in the field of obesity. Heritability, monogenic and polygenic obesity studies provide converging evidence that obesity-predisposing genes interact with a variety of environmental, lifestyle and treatment exposures. However, some skepticism remains regarding the validity of these studies based on several issues, which include statistical modelling, confounding, low replication rate, underpowered analyses, biological assumptions and measurement precision. What follows in this review includes (1) an introduction to the study of GEI, (2) the evidence of GEI in the field of obesity, (3) an outline of the biological mechanisms that may explain these interaction effects, (4) methodological challenges associated with GEI studies and potential solutions, and (5) future directions of GEI research. Thus far, this growing body of evidence has provided a deeper understanding of GEI influencing obesity and may have tremendous applications in the emerging field of personalized medicine and individualized lifestyle recommendations.
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19
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Abstract
Schizophrenia is a devastating illness that affects up to 1% of the population; it is characterized by a combination of positive symptoms, negative symptoms, and cognitive impairment. Currently, treatment consists of one class of medications known as antipsychotics, which include typical (first-generation) and atypical (second-generation) agents. Unfortunately, antipsychotic medications have limited efficacy, with up to a third of patients lacking a full response. Clozapine, the first atypical antipsychotic developed, is the only medication shown to be superior to all other antipsychotics. However, owing to several life-threatening side effects and required enrollment in a registry with routine blood monitoring, clozapine is greatly underutilized in the US. Developing a medication as efficacious as clozapine with limited side effects would likely become the first-line therapy for schizophrenia and related disorders. In this review, we discuss the history of clozapine, landmark studies, and its clinical advantages and disadvantages. We further discuss the hypotheses for clozapine's superior efficacy based on neuroreceptor binding, and the limitations of a receptor-based approach to antipsychotic development. We highlight some of the advances from pharmacogenetic studies on clozapine and then focus on studies of clozapine using unbiased approaches such as pharmacogenomics and gene expression profiling. Finally, we examine how these approaches could provide insights into clozapine's mechanism of action and side-effect profile, and lead to novel and improved therapeutics.
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Affiliation(s)
- Frederick C Nucifora
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | | | - Brian J Lee
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Akira Sawa
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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20
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Lally J, Gaughran F, Timms P, Curran SR. Treatment-resistant schizophrenia: current insights on the pharmacogenomics of antipsychotics. Pharmgenomics Pers Med 2016; 9:117-129. [PMID: 27853387 PMCID: PMC5106233 DOI: 10.2147/pgpm.s115741] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
Up to 30% of people with schizophrenia do not respond to two (or more) trials of dopaminergic antipsychotics. They are said to have treatment-resistant schizophrenia (TRS). Clozapine is still the only effective treatment for TRS, although it is underused in clinical practice. Initial use is delayed, it can be hard for patients to tolerate, and clinicians can be uncertain as to when to use it. What if, at the start of treatment, we could identify those patients likely to respond to clozapine - and those likely to suffer adverse effects? It is likely that clinicians would feel less inhibited about using it, allowing clozapine to be used earlier and more appropriately. Genetic testing holds out the tantalizing possibility of being able to do just this, and hence the vital importance of pharmacogenomic studies. These can potentially identify genetic markers for both tolerance of and vulnerability to clozapine. We aim to summarize progress so far, possible clinical applications, limitations to the evidence, and problems in applying these findings to the management of TRS. Pharmacogenomic studies of clozapine response and tolerability have produced conflicting results. These are due, at least in part, to significant differences in the patient groups studied. The use of clinical pharmacogenomic testing - to personalize clozapine treatment and identify patients at high risk of treatment failure or of adverse events - has moved closer over the last 20 years. However, to develop such testing that could be used clinically will require larger, multicenter, prospective studies.
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Affiliation(s)
- John Lally
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- Department of Psychiatry, Royal College of Surgeons in Ireland, Beaumont Hospital, Dublin, Ireland
- National Psychosis Service
| | - Fiona Gaughran
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, UK
- National Psychosis Service
| | - Philip Timms
- START Team, South London and Maudsley NHS Foundation Trust
- King’s College London
| | - Sarah R Curran
- King’s College London
- South West London and St George’s Mental Health NHS Foundation Trust
- St George’s University of London, London, UK
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21
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Zhang JP, Lencz T, Zhang RX, Nitta M, Maayan L, John M, Robinson DG, Fleischhacker WW, Kahn RS, Ophoff RA, Kane JM, Malhotra AK, Correll CU. Pharmacogenetic Associations of Antipsychotic Drug-Related Weight Gain: A Systematic Review and Meta-analysis. Schizophr Bull 2016; 42:1418-1437. [PMID: 27217270 PMCID: PMC5049532 DOI: 10.1093/schbul/sbw058] [Citation(s) in RCA: 117] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Although weight gain is a serious but variable adverse effect of antipsychotics that has genetic underpinnings, a comprehensive meta-analysis of pharmacogenetics of antipsychotic-related weight gain is missing. In this review, random effects meta-analyses were conducted for dominant and recessive models on associations of specific single nucleotide polymorphisms (SNP) with prospectively assessed antipsychotic-related weight or body mass index (BMI) changes (primary outcome), or categorical increases in weight or BMI (≥7%; secondary outcome). Published studies, identified via systematic database search (last search: December 31, 2014), plus 3 additional cohorts, including 222 antipsychotic-naïve youth, and 81 and 141 first-episode schizophrenia adults, each with patient-level data at 3 or 4 months treatment, were meta-analyzed. Altogether, 72 articles reporting on 46 non-duplicated samples (n = 6700, mean follow-up = 25.1wk) with 38 SNPs from 20 genes/genomic regions were meta-analyzed (for each meta-analysis, studies = 2-20, n = 81-2082). Eleven SNPs from 8 genes were significantly associated with weight or BMI change, and 4 SNPs from 2 genes were significantly associated with categorical weight or BMI increase. Combined, 13 SNPs from 9 genes (Adrenoceptor Alpha-2A [ADRA2A], Adrenoceptor Beta 3 [ADRB3], Brain-Derived Neurotrophic Factor [BDNF], Dopamine Receptor D2 [DRD2], Guanine Nucleotide Binding Protein [GNB3], 5-Hydroxytryptamine (Serotonin) Receptor 2C [HTR2C], Insulin-induced gene 2 [INSIG2], Melanocortin-4 Receptor [MC4R], and Synaptosomal-associated protein, 25kDa [SNAP25]) were significantly associated with antipsychotic-related weight gain (P-values < .05-.001). SNPs in ADRA2A, DRD2, HTR2C, and MC4R had the largest effect sizes (Hedges' g's = 0.30-0.80, ORs = 1.47-1.96). Less prior antipsychotic exposure (pediatric or first episode patients) and short follow-up (1-2 mo) were associated with larger effect sizes. Individual antipsychotics did not significantly moderate effect sizes. In conclusion, antipsychotic-related weight gain is polygenic and associated with specific genetic variants, especially in genes coding for antipsychotic pharmacodynamic targets.
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Affiliation(s)
- Jian-Ping Zhang
- *To whom correspondence should be addressed; Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health System, 75-59 263rd Street, Glen Oaks, NY 11020, US; tel: 718-470-8471, fax: 718-470-1905, e-mail:
| | | | - Ryan X. Zhang
- Department of Psychology and Neuroscience, Duke University, Durham, NY
| | - Masahiro Nitta
- Drug Development Division, Sumitomo Dainippon Pharma Co. Ltd, Tokyo, Japan
| | - Lawrence Maayan
- Department of Psychiatry, New York University School of Medicine, New York, NY
| | - Majnu John
- Division of Psychiatry Research, The Zucker Hillside Hospital, Northwell Health System, Glen Oaks, NY;,Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, Manhasset, NY;,Department of Mathematics, Hofstra University, Hempstead, NY
| | | | | | - Rene S. Kahn
- Department of Psychiatry, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Roel A. Ophoff
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA
| | - John M. Kane
- Department of Psychiatry, Albert Einstein College of Medicine, Bronx, NY
| | | | - Christoph U. Correll
- Department of Psychiatry, Albert Einstein College of Medicine, Bronx, NY,Both authors contributed equally to the article
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22
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MacNeil RR, Müller DJ. Genetics of Common Antipsychotic-Induced Adverse Effects. MOLECULAR NEUROPSYCHIATRY 2016; 2:61-78. [PMID: 27606321 DOI: 10.1159/000445802] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2015] [Accepted: 03/24/2016] [Indexed: 12/12/2022]
Abstract
The effectiveness of antipsychotic drugs is limited due to accompanying adverse effects which can pose considerable health risks and lead to patient noncompliance. Pharmacogenetics (PGx) offers a means to identify genetic biomarkers that can predict individual susceptibility to antipsychotic-induced adverse effects (AAEs), thereby improving clinical outcomes. We reviewed the literature on the PGx of common AAEs from 2010 to 2015, placing emphasis on findings that have been independently replicated and which have additionally been listed to be of interest by PGx expert panels. Gene-drug associations meeting these criteria primarily pertain to metabolic dysregulation, extrapyramidal symptoms (EPS), and tardive dyskinesia (TD). Regarding metabolic dysregulation, results have reaffirmed HTR2C as a strong candidate with potential clinical utility, while MC4R and OGFR1 gene loci have emerged as new and promising biomarkers for the prediction of weight gain. As for EPS and TD, additional evidence has accumulated in support of an association with CYP2D6 metabolizer status. Furthermore, HSPG2 and DPP6 have been identified as candidate genes with the potential to predict differential susceptibility to TD. Overall, considerable progress has been made within the field of psychiatric PGx, with inroads toward the development of clinical tools that can mitigate AAEs. Going forward, studies placing a greater emphasis on multilocus effects will need to be conducted.
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Affiliation(s)
- Raymond R MacNeil
- Mood Research Laboratory, Department of Psychology, Queen's University, Kingston, Ont., Canada
| | - Daniel J Müller
- Departments of Psychiatry, University of Toronto, Toronto, Ont., Canada; Departments of Pharmacology and Toxicology, University of Toronto, Toronto, Ont., Canada; Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ont., Canada
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Arranz MJ, Gallego C, Salazar J, Arias B. Pharmacogenetic studies of drug response in schizophrenia. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2016. [DOI: 10.1080/23808993.2016.1140554] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Zai CC, Tiwari AK, Chowdhury NI, Brandl EJ, Shaikh SA, Freeman N, Lieberman JA, Meltzer HY, Kennedy JL, Müller DJ. Association Study of Serotonin 3 Receptor Subunit Gene Variants in Antipsychotic-Induced Weight Gain. Neuropsychobiology 2016; 74:169-175. [PMID: 28531893 PMCID: PMC5653224 DOI: 10.1159/000457903] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2016] [Accepted: 01/18/2017] [Indexed: 11/19/2022]
Abstract
BACKGROUND Schizophrenia (SCZ) is a chronic severe neuropsychiatric disorder, where pharmacological treatment has been hindered by adverse effects, including antipsychotic-induced weight gain (AIWG) and related complications. Genetic studies have been exploring the appetite regulation and energy homeostasis pathways in AIWG with some promising leads. The serotonin system has been shown to participate in these pathways. METHODS In the current study, we examined single nucleotide polymorphisms across the serotonin receptor genes HTR3A and HTR3B. Prospective weight change was assessed for a total of 149 SCZ patients of European ancestry. RESULTS We did not find the tested HTR3A or HTR3B gene markers to be associated with AIWG in our sample. CONCLUSION Our preliminary findings suggest that these receptors may not play a major role in predicting AIWG.
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Affiliation(s)
- Clement C. Zai
- Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, M5T 1R8, Canada,Department of Psychiatry, University of Toronto, Toronto, ON, M5T 1S8, Canada,Laboratory Medicine and Pathobiology, University of Toronto, ON, M5T 1S8, Canada
| | - Arun K. Tiwari
- Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, M5T 1R8, Canada,Department of Psychiatry, University of Toronto, Toronto, ON, M5T 1S8, Canada
| | - Nabilah I. Chowdhury
- Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, M5T 1R8, Canada
| | - Eva J. Brandl
- Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, M5T 1R8, Canada,Department of Psychiatry, University of Toronto, Toronto, ON, M5T 1S8, Canada,Department of Psychiatry and Psychotherapy, Campus Mitte, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Sajid A. Shaikh
- Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, M5T 1R8, Canada
| | - Natalie Freeman
- Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, M5T 1R8, Canada
| | - Jeffrey A. Lieberman
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York State Psychiatric Institute, Lieber Center for Schizophrenia Research, New York Presbyterian Hospital & Columbia University Medical Center, New York, NY, USA
| | - Herbert Y. Meltzer
- Dept Psychiatry & Beh Sci, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - James L. Kennedy
- Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, M5T 1R8, Canada,Department of Psychiatry, University of Toronto, Toronto, ON, M5T 1S8, Canada,Corresponding Authors: Dr. Daniel J. Müller; Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T 1R8, Canada, Tel: (416) 535-8501 ext. 36851; Fax: (416) 979-4666; . Dr. James L. Kennedy; Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, R31 250 college Street, Toronto, ON, M5T 1R8, Canada, Tel: (416) 979-4987; Fax: (416) 979-4666;
| | - Daniel J. Müller
- Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON, M5T 1R8, Canada,Department of Psychiatry, University of Toronto, Toronto, ON, M5T 1S8, Canada,Corresponding Authors: Dr. Daniel J. Müller; Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T 1R8, Canada, Tel: (416) 535-8501 ext. 36851; Fax: (416) 979-4666; . Dr. James L. Kennedy; Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, R31 250 college Street, Toronto, ON, M5T 1R8, Canada, Tel: (416) 979-4987; Fax: (416) 979-4666;
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Pouget JG, Shams TA, Tiwari AK, Müller DJ. Pharmacogenetics and outcome with antipsychotic drugs. DIALOGUES IN CLINICAL NEUROSCIENCE 2015. [PMID: 25733959 PMCID: PMC4336924 DOI: 10.31887/dcns.2014.16.4/jpouget] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Antipsychotic medications are the gold-standard treatment for schizophrenia, and are often prescribed for other mental conditions. However, the efficacy and side-effect profiles of these drugs are heterogeneous, with large interindividual variability. As a result, treatment selection remains a largely trial-and-error process, with many failed treatment regimens endured before finding a tolerable balance between symptom management and side effects. Much of the interindividual variability in response and side effects is due to genetic factors (heritability, h2~ 0.60-0.80). Pharmacogenetics is an emerging field that holds the potential to facilitate the selection of the best medication for a particular patient, based on his or her genetic information. In this review we discuss the most promising genetic markers of antipsychotic treatment outcomes, and present current translational research efforts that aim to bring these pharmacogenetic findings to the clinic in the near future.
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Affiliation(s)
- Jennie G Pouget
- Pharmacogenetics Research Clinic, Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada ; Institute of Medical Sciences, University of Toronto, Toronto, Ontario, Canada
| | - Tahireh A Shams
- Pharmacogenetics Research Clinic, Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Science, Ryerson University,Toronto, Ontario, Canada
| | - Arun K Tiwari
- Pharmacogenetics Research Clinic, Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Daniel J Müller
- Pharmacogenetics Research Clinic, Campbell Family Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Psychiatry University of Toronto, Toronto, Ontario, Canada
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Sriretnakumar V, Huang E, Müller DJ. Pharmacogenetics of clozapine treatment response and side-effects in schizophrenia: an update. Expert Opin Drug Metab Toxicol 2015; 11:1709-31. [PMID: 26364648 DOI: 10.1517/17425255.2015.1075003] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
INTRODUCTION Clozapine (CLZ) is the most effective treatment for treatment-resistant schizophrenia (SCZ) patients, with potential added benefits of reduction in suicide risk and aggression. However, CLZ is also mainly underused due to its high risk for the potentially lethal side-effect of agranulocytosis as well as weight gain and related metabolic dysregulation. Pharmacogenetics promises to enable the prediction of patient treatment response and risk of adverse effects based on patients' genetics, paving the way toward individualized treatment. AREA COVERED This article reviews pharmacogenetics studies of CLZ response and side-effects with a focus on articles from January 2012 to February 2015, as an update to the previous reviews. Pharmacokinetic genes explored primarily include CYP1A2, while pharmacodynamic genes consisted of traditional pharmacogenetic targets such as brain-derived neurotrophic factor as well novel mitochondrial genes, NDUFS-1 and translocator protein. EXPERT OPINION Pharmacogenetics is a promising avenue for individualized medication of CLZ in SCZ, with several consistently replicated gene variants predicting CLZ response and side-effects. However, a large proportion of studies have yielded mixed results. Large-scale Genome-wide association studies (e.g., CRESTAR) and targeted gene studies with standardized designs (response measurements, treatment durations, plasma level monitoring) are required for further progress toward clinical translation. Additionally, in order to improve study quality, we recommend accounting for important confounders, including polypharmacy, baseline measurements, treatment duration, gender, and age at onset.
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Affiliation(s)
- Venuja Sriretnakumar
- a 1 Campbell Family Research Institute, Pharmacogenetics Research Clinic, Centre for Addiction and Mental Health , Toronto, Ontario, Canada +1 416 535 8501 ; +1 416 979 4666 ; .,b 2 University of Toronto, Department of Laboratory Medicine and Pathobiology , Ontario, Canada
| | - Eric Huang
- a 1 Campbell Family Research Institute, Pharmacogenetics Research Clinic, Centre for Addiction and Mental Health , Toronto, Ontario, Canada +1 416 535 8501 ; +1 416 979 4666 ; .,c 3 University of Toronto, Institute of Medical Sciences , Ontario, Canada
| | - Daniel J Müller
- a 1 Campbell Family Research Institute, Pharmacogenetics Research Clinic, Centre for Addiction and Mental Health , Toronto, Ontario, Canada +1 416 535 8501 ; +1 416 979 4666 ; .,c 3 University of Toronto, Institute of Medical Sciences , Ontario, Canada.,d 4 University of Toronto, Department of Psychiatry , Ontario, Canada
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Dong L, Yan H, Huang X, Hu X, Yang Y, Ma C, Du B, Lu T, Jin C, Wang L, Yu H, Dong Z, Li W, Ruan Y, Zhang H, Zhang H, Mi W, Ma W, Li K, Lv L, Zhang D, Yue W. A2BP1 gene polymorphisms association with olanzapine-induced weight gain. Pharmacol Res 2015; 99:155-61. [DOI: 10.1016/j.phrs.2015.06.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2015] [Revised: 06/09/2015] [Accepted: 06/09/2015] [Indexed: 02/07/2023]
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Genetics of second-generation antipsychotic and mood stabilizer-induced weight gain in bipolar disorder. Pharmacogenet Genomics 2015; 25:354-62. [DOI: 10.1097/fpc.0000000000000144] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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Li H, Wang X, Zhou Y, Ni G, Su Q, Chen Z, Chen Z, Li J, Chen X, Hou X, Xie W, Xin S, Zhou L, Huang M. Association of LEPR and ANKK1 Gene Polymorphisms with Weight Gain in Epilepsy Patients Receiving Valproic Acid. Int J Neuropsychopharmacol 2015; 18:pyv021. [PMID: 25740917 PMCID: PMC4540110 DOI: 10.1093/ijnp/pyv021] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Weight gain is the most frequent adverse effect of valproic acid (VPA) treatment, resulting in poor compliance and many endocrine disturbances. Similarities in the weight change of monozygotic twins receiving VPA strongly suggests that genetic factors are involved in this effect. However, few studies have been conducted to identify the relevant genetic polymorphisms. Additionally, the causal relationship between the VPA concentration and weight gain has been controversial. Thus, we investigated the effects of single nucleotide polymorphisms (SNPs) in several appetite stimulation and energy homeostasis genes and the steady state plasma concentrations (Css) of VPA on the occurrence of weight gain in patients. METHODS A total of 212 epilepsy patients receiving VPA were enrolled. Nineteen SNPs in 11 genes were detected using the Sequenom MassArray iPlex platform, and VPA Css was determined by high-performance liquid chromatography (HPLC). RESULTS After 6 months of treatment, 20.28% of patients were found to gain a significant amount of weight (weight gained ≥7%). Three SNPs in the leptin receptor (LEPR), ankyrin repeat kinase domain containing 1 (ANKK1), and α catalytic subunit of adenosine monophosphate-activated protein kinase (AMPK) showed significant associations with VPA-induced weight gain (p < 0.001, p = 0.017 and p = 0.020, respectively). After Bonferroni correction for multiple tests, the genotypic association of LEPR rs1137101, the allelic association of LEPR rs1137101, and ANKK1 rs1800497 with weight gain remained significant. However, the VPA Css in patents who gained weight were not significantly different from those who did not gain weight (p = 0.121). CONCLUSIONS LEPR and ANKK1 genetic polymorphisms may have value in predicting VPA-induced weight gain.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | | | - Min Huang
- Institute of Clinical Pharmacology, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou, China (Drs H Li, Wang, Y Zhou; Zhuojia Chen, J Li, X Chen, Hou, Xin, and Huang); The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China (Drs Ni, Ziyi Chen, and L Zhou); Guangdong Pharmaceutical University, Guangzhou, China (Dr Su); Center for Pharmacogenetics and Department of Pharmaceutical Sciences, University of Pittsburgh, Pittsburgh, Pennsylvania (Dr Xie).
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Association study of GABAA α2 receptor subunit gene variants in antipsychotic-associated weight gain. J Clin Psychopharmacol 2015; 35:7-12. [PMID: 25514066 DOI: 10.1097/jcp.0000000000000261] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Schizophrenia treatment has been hampered by undesirable adverse effects, including weight gain and associated complications. Recent candidate gene studies have been exploring the appetite regulation pathways in antipsychotic-associated weight gain (AAWG) with some promising leads. Genome-wide association studies of obesity have pointed to a number of potential candidate genes, such as MC4R, that were later found to be shared with AAWG. GABAA α2 receptor subunit (GABRA2) was another potential candidate gene for obesity from genome-wide association studies; however, it has not been explored in AAWG. We examined 9 single nucleotide polymorphisms across the GABRA2 gene. Prospective weight change was assessed for a total of 160 schizophrenia patients of European ancestry. The rs279858 marker was associated with percent weight change, with the patients homozygous for the TT genotype experiencing higher percentage weight gain on average than the C allele carriers (P = 0.009). When we performed the analysis considering each clinical site using a meta-analytic method, the results remained statistically significant (P = 1.4e-4). These findings became even more significant when we considered only patients taking clozapine or olanzapine, the 2 medications with higher risk for weight gain (P < 1e-10). GABRA2 genetic variants may play a role in predicting AAWG. However, replication in larger and independent samples is required.
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Shing EC, Tiwari AK, Brandl EJ, Zai CC, Lieberman JA, Meltzer HY, Kennedy JL, Müller DJ. Fat mass- and obesity-associated (FTO) gene and antipsychotic-induced weight gain: an association study. Neuropsychobiology 2015; 69:59-63. [PMID: 24481458 DOI: 10.1159/000356231] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2013] [Accepted: 10/08/2013] [Indexed: 11/19/2022]
Abstract
OBJECTIVES Genetic variation in the fat mass- and obesity-associated gene (FTO) has been associated with obesity in the general population. In this study we have investigated these variants for association with antipsychotic-induced weight gain (AIWG). METHODS A total of 218 patients with chronic schizophrenia or schizoaffective disorder treated mostly with clozapine or olanzapine for up to 14 weeks were included in the study. We analyzed 4 polymorphisms in intron 1 of the FTO gene (rs1421085, rs8050136, rs9939609, rs9930506) for association with AIWG using ANCOVA. RESULTS No statistically significant associations were observed between the single nucleotide polymorphisms and AIWG. However, patients homozygous for the A-allele of rs9939609 gained numerically higher weight than the other genotypic groups (AA: 5.26 ± 6.7%; TA: 4.66 ± 5.6%; TT: 4.21 ± 5.3%). CONCLUSION Our current observations suggest that the FTO gene variants investigated may not play a major role in AIWG.
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Affiliation(s)
- Emily C Shing
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health and Department of Psychiatry, University of Toronto, Toronto, Ont., Canada
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Abstract
This review considers pharmacogenetics of the so called 'second-generation' antipsychotics. Findings for polymorphisms replicating in more than one study are emphasized and compared and contrasted with larger-scale candidate gene studies and genome-wide association study analyses. Variants in three types of genes are discussed: pharmacokinetic genes associated with drug metabolism and disposition, pharmacodynamic genes encoding drug targets, and pharmacotypic genes impacting disease presentation and subtype. Among pharmacokinetic markers, CYP2D6 metabolizer phenotype has clear clinical significance, as it impacts dosing considerations for aripiprazole, iloperidone and risperidone, and variants of the ABCB1 gene hold promise as biomarkers for dosing for olanzapine and clozapine. Among pharmacodynamic variants, the TaqIA1 allele of the DRD2 gene, the DRD3 (Ser9Gly) polymorphism, and the HTR2C -759C/T polymorphism have emerged as potential biomarkers for response and/or side effects. However, large-scale candidate gene studies and genome-wide association studies indicate that pharmacotypic genes may ultimately prove to be the richest source of biomarkers for response and side effect profiles for second-generation antipsychotics.
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Affiliation(s)
- Mark D Brennan
- Department of Biochemistry & Molecular Biology, School of Medicine, University of Louisville, Louisville, KY 40292, USA.
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Yilmaz Z, Davis C, Loxton NJ, Kaplan AS, Levitan RD, Carter JC, Kennedy JL. Association between MC4R rs17782313 polymorphism and overeating behaviors. Int J Obes (Lond) 2015; 39:114-20. [PMID: 24827639 PMCID: PMC4232480 DOI: 10.1038/ijo.2014.79] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2014] [Revised: 04/10/2014] [Accepted: 04/14/2014] [Indexed: 12/17/2022]
Abstract
BACKGROUND/OBJECTIVES Melanocortins have a crucial role in appetite and weight regulation. Although the melanocortin 4 receptor (MC4R) gene has been repeatedly linked to obesity and antipsychotic-induced weight gain, the mechanism behind how it leads to this effect in still undetermined. The goal of this study was to conduct an in-depth and sophisticated analysis of MC4R polymorphisms, body mass index (BMI), eating behavior and depressed mood. SUBJECTS/METHODS We genotyped 328 individuals of European ancestry on the following MC4R markers based on the relevant literature on obesity and antipsychotic-induced weight gain: rs571312, rs17782313, rs489693, rs11872992, and rs8087522. Height and weight were measured, and information on depressed mood and overeating behaviors was obtained during the in-person assessment. RESULTS BMI was associated with rs17782313 C allele; however, this finding did not survive correction for multiple testing (P = 0.018). Although rs17782313 was significantly associated with depressed mood and overeating behaviors, tests of indirect effects indicated that emotional eating and food cravings, rather than depressed mood, uniquely accounted for the effect of this marker and BMI (n = 152). CONCLUSIONS To our knowledge, this is the first study to investigate the link between MC4R rs17782313, mood and overeating behavior, as well as to demonstrate possible mechanisms behind MC4R's influence on body weight. If replicated in a larger sample, these results may have important clinical implications, including potential for the use of MC4R agonists in the treatment of obesity and disordered eating.
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Affiliation(s)
- Zeynep Yilmaz
- Center of Excellence for Eating Disorders, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Clinical Research Department, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Caroline Davis
- Clinical Research Department, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Kinesiology & Health Sciences, York University, Toronto, Ontario, Canada
- Eating Disorders Program, Toronto General Hospital, Toronto, Ontario, Canada
| | - Natalie J. Loxton
- School of Psychology, The University of Queensland, Brisbane, Queensland, Australia
| | - Allan S. Kaplan
- Clinical Research Department, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Robert D. Levitan
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Mood and Anxiety Program, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | | | - James L. Kennedy
- Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
- Neurogenetics Section, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
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Brandl EJ, Tiwari AK, Zai CC, Chowdhury NI, Lieberman JA, Meltzer HY, Kennedy JL, Müller DJ. No evidence for a role of the peroxisome proliferator-activated receptor gamma (PPARG) and adiponectin (ADIPOQ) genes in antipsychotic-induced weight gain. Psychiatry Res 2014; 219:255-60. [PMID: 24953421 DOI: 10.1016/j.psychres.2014.05.031] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2013] [Revised: 05/12/2014] [Accepted: 05/19/2014] [Indexed: 12/31/2022]
Abstract
Antipsychotics frequently cause changes in glucose metabolism followed by development of weight gain and/or diabetes. Recent findings from our group indicated an influence of glucose-related genes on this serious side effect. With this study, we aimed to extend previous research and performed a comprehensive study on the peroxisome proliferator-activated receptor gamma (PPARG) and the adiponectin (ADIPOQ) genes. In 216 schizophrenic patients receiving antipsychotics for up to 14 weeks, we investigated single-nucleotide polymorphisms in or near PPARG (N=24) and ADIPOQ (N=18). Statistical analysis was done using ANCOVA in SPSS. Haplotype analysis was performed in UNPHASED 3.1.4 and Haploview 4.2. None of the PPARG or ADIPOQ variants showed significant association with antipsychotic-induced weight gain in our combined sample or in a refined subsample of patients of European ancestry treated with clozapine or olanzapine after correction for multiple testing. Similarly, no haplotype association could withstand multiple test correction. Although we could not find a significant influence of ADIPOQ and PPARG on antipsychotic-induced weight gain, our comprehensive examination of these two genes contributes to understanding the biology of this serious side effect. More research on glucose metabolism genes is warranted to elucidate their role in metabolic changes during antipsychotic treatment.
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Affiliation(s)
- Eva J Brandl
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, Canada; Department of Psychiatry and Psychotherapy, Charité Universitätsmedizin Berlin, Campus Mitte, Berlin, Germany
| | - Arun K Tiwari
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, Canada
| | - Clement C Zai
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Nabilah I Chowdhury
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Jeffrey A Lieberman
- Department of Psychiatry, College of Physicians and Surgeons, Columbia University and the New York State Psychiatric Institute, New York City, NY, USA
| | - Herbert Y Meltzer
- Department of Psychiatry and Behavioral Sciences, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | - James L Kennedy
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Daniel J Müller
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada.
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Ma X, Maimaitirexiati T, Zhang R, Gui X, Zhang W, Xu G, Hu G. HTR2C polymorphisms, olanzapine-induced weight gain and antipsychotic-induced metabolic syndrome in schizophrenia patients: a meta-analysis. Int J Psychiatry Clin Pract 2014; 18:229-42. [PMID: 25152019 DOI: 10.3109/13651501.2014.957705] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE To conduct meta-analyses of all published association studies on the HTR2C -759C/T (rs3813829) polymorphism and olanzapine-induced weight gain in schizophrenia patients and on the HTR2C -759C/T, -697G/C (rs518147) and rs1414334:C> G polymorphisms and olanzapine/clozapine/risperidone-induced metabolic syndrome in schizophrenia patients. METHODS Eligible studies were identified by searching PubMed and Web of Science databases. Meta-analyses were performed using Cochrane Review Manager (RevMan, version 5.2) to calculate the pooled odds ratio (OR) and its corresponding 95% confidence interval (CI). RESULTS Our meta-analyses revealed both a significant positive association between the rs1414334 C allele and olanzapine/clozapine/risperidone-induced metabolic syndrome and a marginally significant positive association between the -697C allele and the induced metabolic syndrome in schizophrenia patients, but no significant association between the -759C/T polymorphism and the induced metabolic syndrome in schizophrenia patients. Our analysis further revealed a pronounced trend toward a significant negative association between the -759T allele and high olanzapine-induced weight gain and a trend toward a significant positive association between the -759C allele and high olanzapine-induced weight gain in Caucasian schizophrenia patients. CONCLUSIONS Our results support that HTR2C polymorphisms play a role in antipsychotic-induced metabolic disturbance. More association studies are needed to further elucidate association of different HTR2C polymorphisms and antipsychotic-induced metabolic disturbance.
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Affiliation(s)
- Xiaojie Ma
- Department of Geriatrics, The Fourth People's Hospital of Urumqi City , Urumqi, Xinjiang Province , P. R. China
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Shams TA, Müller DJ. Antipsychotic induced weight gain: genetics, epigenetics, and biomarkers reviewed. Curr Psychiatry Rep 2014; 16:473. [PMID: 25138234 DOI: 10.1007/s11920-014-0473-9] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Antipsychotic-induced weight gain (AIWG) is a prevalent side effect of antipsychotic treatment, particularly with second generation antipsychotics, such as clozapine and olanzapine. At this point, there is virtually nothing that can be done to predict who will be affected by AIWG. However, hope for the future of prediction lies with genetic risk factors. Many genes have been studied for their association with AIWG with a variety of promising findings. This review will focus on genetic findings in the last year and will discuss the first epigenetic and biomarker findings as well. Although there are significant findings in many other genes, the most consistently replicated findings are in the melanocortin 4 receptor (MC4R), the serotonin 2C receptor (HTR2C), the leptin, the neuropeptide Y (NPY) and the cannabinoid receptor 1 (CNR1) genes. The study of genetic risk variants poses great promise in creating predictive tools for side effects such as AIWG.
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Affiliation(s)
- Tahireh A Shams
- Pharmacogenetics Research Clinic, Centre for Addiction and Mental Health, 250 College Street, Toronto, ON, M5T 1R8, Canada
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Yilmaz Z, Kaplan AS, Tiwari AK, Levitan RD, Piran S, Bergen AW, Kaye WH, Hakonarson H, Wang K, Berrettini WH, Brandt HA, Bulik CM, Crawford S, Crow S, Fichter MM, Halmi KA, Johnson CL, Keel PK, Klump KL, Magistretti P, Mitchell JE, Strober M, Thornton LM, Treasure J, Woodside DB, Knight J, Kennedy JL. The role of leptin, melanocortin, and neurotrophin system genes on body weight in anorexia nervosa and bulimia nervosa. J Psychiatr Res 2014; 55:77-86. [PMID: 24831852 PMCID: PMC4191922 DOI: 10.1016/j.jpsychires.2014.04.005] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2014] [Revised: 03/05/2014] [Accepted: 04/04/2014] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Although low weight is a key factor contributing to the high mortality in anorexia nervosa (AN), it is unclear how AN patients sustain low weight compared with bulimia nervosa (BN) patients with similar psychopathology. Studies of genes involved in appetite and weight regulation in eating disorders have yielded variable findings, in part due to small sample size and clinical heterogeneity. This study: (1) assessed the role of leptin, melanocortin, and neurotrophin genetic variants in conferring risk for AN and BN; and (2) explored the involvement of these genes in body mass index (BMI) variations within AN and BN. METHOD Our sample consisted of 745 individuals with AN without a history of BN, 245 individuals with BN without a history of AN, and 321 controls. We genotyped 20 markers with known or putative function among genes selected from leptin, melanocortin, and neurotrophin systems. RESULTS There were no significant differences in allele frequencies among individuals with AN, BN, and controls. AGRP rs13338499 polymorphism was associated with lowest illness-related BMI in those with AN (p = 0.0013), and NTRK2 rs1042571 was associated with highest BMI in those with BN (p = 0.0018). DISCUSSION To our knowledge, this is the first study to address the issue of clinical heterogeneity in eating disorder genetic research and to explore the role of known or putatively functional markers in genes regulating appetite and weight in individuals with AN and BN. If replicated, our results may serve as an important first step toward gaining a better understanding of weight regulation in eating disorders.
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Affiliation(s)
- Zeynep Yilmaz
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Clinical Research Department, Centre for Addiction and Mental Health, Toronto, Canada
| | - Allan S Kaplan
- Clinical Research Department, Centre for Addiction and Mental Health, Toronto, Canada; Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Arun K Tiwari
- Neurogenetics Section, Centre for Addiction and Mental Health, Toronto, Canada
| | - Robert D Levitan
- Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Mood and Anxiety Program, Centre for Addiction and Mental Health, Toronto, Canada
| | - Sara Piran
- Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | - Andrew W Bergen
- Center for Health Sciences, SRI International, Menlo Park, CA, USA
| | - Walter H Kaye
- Department of Psychiatry, University of California, San Diego, CA, USA
| | - Hakon Hakonarson
- Joseph Stokes Jr. Research Institute, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Kai Wang
- Department of Psychiatry, University of Southern California, Los Angeles, CA, USA
| | - Wade H Berrettini
- Department of Psychiatry, Center of Neurobiology and Behavior, University of Pennsylvania, Philadelphia, PA, USA
| | - Harry A Brandt
- Department of Psychiatry, Sheppard Pratt Health System, Towson, MD, USA
| | - Cynthia M Bulik
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Steven Crawford
- Department of Psychiatry, Sheppard Pratt Health System, Towson, MD, USA
| | - Scott Crow
- Department of Psychiatry, University of Minnesota, Minneapolis, MN, USA
| | - Manfred M Fichter
- Department of Psychiatry, University of Munich (LMU), Munich, Germany; Roseneck Hospital for Behavioral Medicine, Prien, Germany
| | - Katherine A Halmi
- Department of Psychiatry, Weill Cornell Medical College, New York, NY, USA
| | | | - Pamela K Keel
- Department of Psychology, Florida State University, Tallahassee, FL, USA
| | - Kelly L Klump
- Department of Psychology, Michigan State University, East Lansing, MI, USA
| | - Pierre Magistretti
- Brain Mind Institute, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - James E Mitchell
- Department of Clinical Neuroscience, University of North Dakota School of Medicine and Health Sciences, Grand Forks, ND, USA; Neuropsychiatric Research Institute, Fargo, ND, USA
| | - Michael Strober
- Department of Psychiatry, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California, Los Angeles, CA, USA
| | - Laura M Thornton
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Janet Treasure
- Department of Academic Psychiatry, King's College London, Institute of Psychiatry, London, United Kingdom
| | - D Blake Woodside
- Department of Psychiatry, University of Toronto, Toronto, Canada; Eating Disorders Program, Toronto General Hospital, Toronto, Canada
| | - Joanne Knight
- Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Neurogenetics Section, Centre for Addiction and Mental Health, Toronto, Canada
| | - James L Kennedy
- Institute of Medical Science, University of Toronto, Toronto, Canada; Department of Psychiatry, University of Toronto, Toronto, Canada; Neurogenetics Section, Centre for Addiction and Mental Health, Toronto, Canada.
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Kao ACC, Müller DJ. Genetics of antipsychotic-induced weight gain: update and current perspectives. Pharmacogenomics 2014; 14:2067-83. [PMID: 24279860 DOI: 10.2217/pgs.13.207] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Antipsychotic medications are used to effectively treat various symptoms for different psychiatric conditions. Unfortunately, antipsychotic-induced weight gain (AIWG) is a common side effect that frequently results in obesity and secondary medical conditions. Twin and sibling studies have indicated that genetic factors are likely to be highly involved in AIWG. Over recent years, there has been considerable progress in this area, with several consistently replicated findings, as well as the identification of new genes and implicated pathways. Here, we will review the most recent genetic studies related to AIWG using the Medline database (PubMed) and Google Scholar. Among the steadiest findings associated with AIWG are serotonin 2C receptors (HTR2C) and leptin promoter gene variants, with more recent studies implicating MTHFR and, in particular, MC4R genes. Additional support was reported for the HRH1, BDNF, NPY, CNR1, GHRL, FTO and AMPK genes. Notably, some of the reported variants appear to have relatively large effect sizes. These findings have provided insights into the mechanisms involved in AIWG and will help to develop predictive genetic tests in the near future.
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Affiliation(s)
- Amy C C Kao
- Pharmacogenetics Research Clinic, Campbell Family Mental Health Research Institute, Centre for Addiction & Mental Health, University of Toronto, Toronto, ON, Canada
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Kohlrausch FB. Pharmacogenetics in schizophrenia: a review of clozapine studies. BRAZILIAN JOURNAL OF PSYCHIATRY 2014; 35:305-17. [PMID: 24142094 DOI: 10.1590/1516-4446-2012-0970] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2012] [Accepted: 12/19/2012] [Indexed: 11/22/2022]
Abstract
OBJECTIVES Clozapine is quite effective to treat schizophrenia, but its use is complicated by several factors. Although many patients respond to antipsychotic therapy, about 50% of them exhibit inadequate response, and ineffective medication trials may entail weeks of unremitted illness, potential adverse drug reactions, and treatment nonadherence. This review of the literature sought to describe the main pharmacogenetic studies of clozapine and the genes that potentially influence response to treatment with this medication in schizophrenics. METHODS We searched the PubMed database for studies published in English in the last 20 years using keywords related to the topic. RESULTS AND CONCLUSIONS Our search yielded 145 studies that met the search and selection criteria. Of these, 21 review articles were excluded. The 124 studies included for analysis showed controversial results. Therefore, efforts to identify key gene mechanisms that will be useful in predicting clozapine response and side effects have not been fully successful. Further studies with new analysis approaches and larger sample sizes are still required.
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Chowdhury NI, Souza RP, Tiwari AK, Brandl EJ, Sicard M, Meltzer HY, Lieberman JA, Kennedy JL, Müller DJ. Investigation of melanocortin system gene variants in antipsychotic-induced weight gain. World J Biol Psychiatry 2014; 15:251-8. [PMID: 24564533 DOI: 10.3109/15622975.2013.858827] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVES The use of second-generation antipsychotic medications may result in substantial weight gain in a subset of schizophrenia patients. Distinct populations of neurons expressed in the hypothalamus, including the cocaine- and amphetamine-regulated transcript (CART), the polypeptide pro-opiomelanocortin (POMC) and the agouti-related protein (AGRP), have regulatory roles in weight control and energy homeostasis. Thus, we investigated the potential role of CART, POMC and AGRP genetic variants in antipsychotic-induced weight gain (AIWG). METHODS Five CART single nucleotide polymorphisms (SNPs) (rs10515115, rs3763153, rs3857384, rs11575893, rs16871471), three POMC SNPs (rs6713532, rs1047521, rs3754860) and one AGRP SNP (rs1338993), were genotyped in 218 patients treated with antipsychotics for chronic schizophrenia and evaluated for AIWG. We compared weight change (%) across genotypic groups using analysis of covariance. RESULTS None of the SNPs in POMC, CART, AGRP were significantly associated with AIWG in the refined samples stratified by ethnicity and medication treatment. CONCLUSIONS In this exploratory study, we observed that POMC, CART and AGRP gene variants are not a major contributor to AIWG. However larger samples are required to completely rule out their effect on AIWG.
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Affiliation(s)
- Nabilah I Chowdhury
- Neurogenetics Section, Neuroscience Department, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health , Toronto, ON , Canada
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McCracken JT. Antipsychotic-induced weight gain: can the energy balance gene variants help us tip the scales? Pharmacogenomics 2014; 15:403-6. [PMID: 24624905 DOI: 10.2217/pgs.13.209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Affiliation(s)
- James T McCracken
- Department of Psychiatry & Biobehavioral Sciences, UCLA Semel Institute, 760 Westwood Plaza, Los Angeles, CA 90024, USA.
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Brandl EJ, Kennedy JL, Müller DJ. Pharmacogenetics of antipsychotics. CANADIAN JOURNAL OF PSYCHIATRY. REVUE CANADIENNE DE PSYCHIATRIE 2014; 59:76-88. [PMID: 24881126 PMCID: PMC4079237 DOI: 10.1177/070674371405900203] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
OBJECTIVE During the past decades, increasing efforts have been invested in studies to unravel the influence of genetic factors on antipsychotic (AP) dosage, treatment response, and occurrence of adverse effects. These studies aimed to improve clinical care by predicting outcome of treatment with APs and thus allowing for individualized treatment strategies. We highlight most important findings obtained through both candidate gene and genome-wide association studies, including pharmacokinetic and pharmacodynamic factors. METHODS We reviewed studies on pharmacogenetics of AP response and adverse effects published on PubMed until early 2012. Owing to the high number of published studies, we focused our review on findings that have been replicated in independent studies or are supported by meta-analyses. RESULTS Most robust findings were reported for associations between polymorphisms of the cytochrome P450 system, the dopamine and the serotonin transmitter systems, and dosage, treatment response, and adverse effects, such as AP-induced weight gain or tardive dyskinesia. These associations were either detected for specific medications or for classes of APs. CONCLUSION First promising and robust results show that pharmacogenetics bear promise for a widespread use in future clinical practice. This will likely be achieved by developing algorithms that will include many genetic variants. However, further investigation is warranted to replicate and validate previous findings, as well as to identify new genetic variants involved in AP response and for replication of existing findings.
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Affiliation(s)
- Eva J Brandl
- Postdoctoral Research Fellow, Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario
| | - James L Kennedy
- Head, Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health (CAMH), Toronto, Ontario; Director, Neuroscience Research Department, Neuroscience Department, CAMH, Toronto, Ontario; l'Anson Professor of Psychiatry and Medical Science, University of Toronto, Toronto, Ontario
| | - Daniel J Müller
- Head, Pharmacogenetics Research Clinic, Neurogenetics Section, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario; Associate Professor, University of Toronto, Toronto, Ontario
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Nurmi EL, Spilman SL, Whelan F, Scahill LL, Aman MG, McDougle CJ, Arnold LE, Handen B, Johnson C, Sukhodolsky DG, Posey DJ, Lecavalier L, Stigler KA, Ritz L, Tierney E, Vitiello B, McCracken JT. Moderation of antipsychotic-induced weight gain by energy balance gene variants in the RUPP autism network risperidone studies. Transl Psychiatry 2013; 3:e274. [PMID: 23799528 PMCID: PMC3693401 DOI: 10.1038/tp.2013.26] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2012] [Revised: 02/06/2013] [Accepted: 02/18/2013] [Indexed: 12/18/2022] Open
Abstract
Second-generation antipsychotic exposure, in both children and adults, carries significant risk for excessive weight gain that varies widely across individuals. We queried common variation in key energy balance genes (FTO, MC4R, LEP, CNR1, FAAH) for their association with weight gain during the initial 8 weeks in the two NIMH Research Units on Pediatric Psychopharmacology Autism Network trials (N=225) of risperidone for treatment of irritability in children/adolescents aged 4-17 years with autism spectrum disorders. Variants in the cannabinoid receptor (CNR)-1 promoter (P=1.0 × 10(-6)), CNR1 (P=9.6 × 10(-5)) and the leptin (LEP) promoter (P=1.4 × 10(-4)) conferred robust-independent risks for weight gain. A model combining these three variants was highly significant (P=1.3 × 10(-9)) with a 0.85 effect size between lowest and highest risk groups. All results survived correction for multiple testing and were not dependent on dose, plasma level or ethnicity. We found no evidence for association with a reported functional variant in the endocannabinoid metabolic enzyme, fatty acid amide hydrolase, whereas body mass index-associated single-nucleotide polymorphisms in FTO and MC4R showed only trend associations. These data suggest a substantial genetic contribution of common variants in energy balance regulatory genes to individual antipsychotic-associated weight gain in children and adolescents, which supersedes findings from prior adult studies. The effects are robust enough to be detected after only 8 weeks and are more prominent in this largely treatment naive population. This study highlights compelling directions for further exploration of the pharmacogenetic basis of this concerning multifactorial adverse event.
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Affiliation(s)
- E L Nurmi
- Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute, Los Angeles, CA, USA
| | - S L Spilman
- Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute, Los Angeles, CA, USA
| | - F Whelan
- Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute, Los Angeles, CA, USA
| | - L L Scahill
- Child Study Center, Yale University, New Haven, CT, USA
| | - M G Aman
- Department of Psychology, Ohio State University, Columbus, OH, USA
| | - C J McDougle
- Lurie Autism Center, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - L E Arnold
- Department of Psychiatry, Ohio State University, Columbus, OH, USA
| | - B Handen
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - C Johnson
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - D J Posey
- Department of Psychiatry, Indiana University, Indianapolis, IN, USA
| | - L Lecavalier
- Department of Psychology, Ohio State University, Columbus, OH, USA
| | - K A Stigler
- Department of Psychiatry, Indiana University, Indianapolis, IN, USA
| | - L Ritz
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
| | - E Tierney
- Department of Psychiatry, Kennedy Krieger Institute, Baltimore, MD, USA
| | - B Vitiello
- National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
| | - J T McCracken
- Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute, Los Angeles, CA, USA
| | - the Research Units on Pediatric Psychopharmacology Autism Network
- Department of Psychiatry and Biobehavioral Sciences, UCLA Semel Institute, Los Angeles, CA, USA
- Child Study Center, Yale University, New Haven, CT, USA
- Department of Psychology, Ohio State University, Columbus, OH, USA
- Lurie Autism Center, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
- Department of Psychiatry, Ohio State University, Columbus, OH, USA
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Psychiatry, Indiana University, Indianapolis, IN, USA
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA
- Department of Psychiatry, Kennedy Krieger Institute, Baltimore, MD, USA
- National Institute of Mental Health, National Institutes of Health, Bethesda, MD, USA
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Pharmacogenetic Applications and Pharmacogenomic Approaches in Schizophrenia. CURRENT GENETIC MEDICINE REPORTS 2013. [DOI: 10.1007/s40142-012-0006-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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Forum. Pharmaceut Med 2012. [DOI: 10.1007/bf03262385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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