1J Clin Psychopharmacol 2011 Dec 31: 705-11
PMID22020349
TitlePolymorphisms of INSIG2, MC4R, and LEP are associated with obesity- and metabolic-related traits in schizophrenic patients.
Abstractschizophrenic patients have a high prevalence of metabolic adversities. Previous studies have suggested some candidate genes for obesity- and metabolic-related traits, including the insulin-induced gene (INSIG2), melanocortin 4 receptor gene (MC4R), and leptin and leptin receptor genes (LEP and LEPR). We aimed to investigate the associations between these genes and metabolic disturbances in patients with schizophrenia in Taiwan.
Patients with a diagnosis of schizophrenia or schizoaffective disorder according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, were recruited from 36 community psychiatric rehabilitation centers or hospitals in Taipei. A total of 650 subjects were enrolled, and 577 were included in the genetic analyses. The anthropometric (body mass index, waist circumference [WC], and blood pressure) and biochemical measurements (fasting plasma glucose, insulin, triglyceride, high-density lipoprotein cholesterol, and Homeostasis Model of Assessment - Insulin Resistance index [HOMA-IR]) were assessed. Seven loci in the 4 genes were genotyped using standard TaqMan assays. Genetic association analyses were conducted for binary and quantitative measurements of the previously mentioned traits. Obese patients with schizophrenia exhibited more metabolic disturbances than nonobese patients.
Our data showed that INSIG2 was significantly associated with fasting plasma glucose (for rs17587100, P < 0.0001), MC4R was associated with WC (for rs2229616, P = 0.005), and LEP was associated with body mass index and WC (for rs7799039, P < 0.01). In addition, these loci showed suggestive associations with traits including high-density lipoprotein cholesterol and triglyceride, metabolic syndrome, insulin level, and HOMA-IR index (P = 0.05). In addition to the effect from antipsychotic medications and an unhealthy lifestyle, genetic factors also contribute to the high prevalence of obesity and metabolic disturbances in patients with schizophrenia, especially genes involved in metabolic-related pathways.
SCZ Keywordsschizophrenia, schizophrenic
2J Clin Psychopharmacol 2011 Dec 31: 705-11
PMID22020349
TitlePolymorphisms of INSIG2, MC4R, and LEP are associated with obesity- and metabolic-related traits in schizophrenic patients.
Abstractschizophrenic patients have a high prevalence of metabolic adversities. Previous studies have suggested some candidate genes for obesity- and metabolic-related traits, including the insulin-induced gene (INSIG2), melanocortin 4 receptor gene (MC4R), and leptin and leptin receptor genes (LEP and LEPR). We aimed to investigate the associations between these genes and metabolic disturbances in patients with schizophrenia in Taiwan.
Patients with a diagnosis of schizophrenia or schizoaffective disorder according to the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, were recruited from 36 community psychiatric rehabilitation centers or hospitals in Taipei. A total of 650 subjects were enrolled, and 577 were included in the genetic analyses. The anthropometric (body mass index, waist circumference [WC], and blood pressure) and biochemical measurements (fasting plasma glucose, insulin, triglyceride, high-density lipoprotein cholesterol, and Homeostasis Model of Assessment - Insulin Resistance index [HOMA-IR]) were assessed. Seven loci in the 4 genes were genotyped using standard TaqMan assays. Genetic association analyses were conducted for binary and quantitative measurements of the previously mentioned traits. Obese patients with schizophrenia exhibited more metabolic disturbances than nonobese patients.
Our data showed that INSIG2 was significantly associated with fasting plasma glucose (for rs17587100, P < 0.0001), MC4R was associated with WC (for rs2229616, P = 0.005), and LEP was associated with body mass index and WC (for rs7799039, P < 0.01). In addition, these loci showed suggestive associations with traits including high-density lipoprotein cholesterol and triglyceride, metabolic syndrome, insulin level, and HOMA-IR index (P = 0.05). In addition to the effect from antipsychotic medications and an unhealthy lifestyle, genetic factors also contribute to the high prevalence of obesity and metabolic disturbances in patients with schizophrenia, especially genes involved in metabolic-related pathways.
SCZ Keywordsschizophrenia, schizophrenic
3Mol. Psychiatry 2012 Mar 17: 242-66
PMID21894153
TitlePharmacogenetics of antipsychotic-induced weight gain: review and clinical implications.
AbstractSecond-generation antipsychotics (SGAs), such as risperidone, clozapine and olanzapine, are the most common drug treatments for schizophrenia. SGAs presented an advantage over first-generation antipsychotics (FGAs), particularly regarding avoidance of extrapyramidal symptoms. However, most SGAs, and to a lesser degree FGAs, are linked to substantial weight gain. This substantial weight gain is a leading factor in patient non-compliance and poses significant risk of diabetes, lipid abnormalities (that is, metabolic syndrome) and cardiovascular events including sudden death. The purpose of this article is to review the advances made in the field of pharmacogenetics of antipsychotic-induced weight gain (AIWG). We included all published association studies in AIWG from December 2006 to date using the Medline and ISI web of knowledge databases. There has been considerable progress reaffirming previous findings and discovery of novel genetic factors. The HTR2C and leptin genes are among the most promising, and new evidence suggests that the DRD2, TNF, SNAP-25 and MC4R genes are also prominent risk factors. Further promising findings have been reported in novel susceptibility genes, such as CNR1, MDR1, ADRA1A and INSIG2. More research is required before genetically informed, personalized medicine can be applied to antipsychotic treatment; nevertheless, inroads have been made towards assessing genetic liability and plausible clinical application.
SCZ Keywordsschizophrenia, schizophrenic
4Pharmacogenomics J. 2013 Jun 13: 272-9
PMID22310352
TitleGenetic association study between antipsychotic-induced weight gain and the melanocortin-4 receptor gene.
AbstractAntipsychotic-induced weight gain (AIWG) may result in the metabolic syndrome in schizophrenia (SCZ) patients. Downstream variants of the melanocortin-4 receptor (MC4R) gene have been associated with obesity in various populations. Thus, we examined single-nucleotide polymorphisms (SNPs) in the MC4R region for association with AIWG in SCZ patients. Four SNPs (rs2229616, rs17782313, rs11872992 and rs8087522) were genotyped in 224 patients who underwent treatment for SCZ and were evaluated for AIWG for up to 14 weeks. We compared weight change (%) across genotypic groups using analysis of covariance for three SNPs (r²?0.8). European-ancestry patients who were rs8087522 A-allele carriers (AG+AA) on clozapine gained significantly more weight than non-carriers (P=0.027, n=69). These observations were marginal after correction for multiple testing. We performed in vitro electrophoretic mobility-shift assay that suggested that the presence of the A-allele may create a transcription factor-binding site. Further investigation is warranted for both these exploratory findings.
SCZ Keywordsschizophrenia, schizophrenic
5Curr Opin Psychiatry 2013 Mar 26: 144-50
PMID23370274
TitleThe pharmacogenetics of antipsychotic-induced adverse events.
AbstractAntipsychotic drugs are effective in alleviating a variety of symptoms and are medication of first choice in schizophrenia. However, a substantial interindividual variability in side effects often requires a lengthy 'trial-and-error' approach until the right medication is found for the right patient. Genetic factors have long been hypothesized to be involved and identification of related gene variants could be used to predict and tailor drug treatment.
This review highlighting the most recent genetic findings was conducted on the two most common and most well-studied side effects: antipsychotic-induced weight gain and tardive dyskinesia.
Regarding weight gain, most promising and most consistent findings were obtained in the serotonergic system (HTR2C) and with hypothalamic leptin-melanocortin genes, in particular with one variant close to the melanocortin-4-receptor (MC4R) gene. With respect to tardive dyskinesia, most interesting findings were generally obtained in genes related to the dopaminergic system (dopamine receptors D2 and D3), and more recently with glutamatergic system genes. Overall, genetic studies have been successful in identifying strong findings, in particular for antipsychotic-induced weight gain and to some extent for tardive dyskinesia. Apart from the need for replication studies in larger and well-characterized samples, the next challenge will be to create predictive algorithms that can be used for clinical practice.
SCZ Keywordsschizophrenia, schizophrenic
6Biol. Psychiatry 2015 Jan 77: 29-35
PMID25483343
TitleThe promise of psychiatric pharmacogenomics.
AbstractClinicians already face "personalized" medicine every day while experiencing the great variation in toxicities and drug efficacy among individual patients. Pharmacogenetics studies are the platform for discovering the DNA determinants of variability in drug response and tolerability. Research now focuses on the genome after its beginning with analyses of single genes. Therapeutic outcomes from several psychotropic drugs have been weakly linked to specific genetic variants without independent replication. Drug side effects show stronger associations to genetic variants, including human leukocyte antigen loci with carbamazepine-induced dermatologic outcome and MC4R with atypical antipsychotic weight gain. Clinical implementation has proven challenging, with barriers including a lack of replicable prospective evidence for clinical utility required for altering medical care. More recent studies show promising approaches for reducing these barriers to routine incorporation of pharmacogenetics data into clinical care.
SCZ Keywordsschizophrenia, schizophrenic
7Psychiatry Res 2015 Jul 228: 177-8
PMID25841316
TitleEffects of LEP, LEPR, ADIPOQ, MC4R and FTO polymorphisms on dyslipidemia in Korean patients with schizophrenia who are taking clozapine.
Abstract-1
SCZ Keywordsschizophrenia, schizophrenic
8J Clin Psychopharmacol 2015 Feb 35: 7-12
PMID25514066
TitleAssociation study of GABAA ?2 receptor subunit gene variants in antipsychotic-associated weight gain.
Abstractschizophrenia 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 ?2 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.
SCZ Keywordsschizophrenia, schizophrenic
9Neuropsychopharmacology 2015 Jul 40: 1856-65
PMID25652247
TitleMelanocortin Receptor Agonists Facilitate Oxytocin-Dependent Partner Preference Formation in the Prairie Vole.
AbstractThe central melanocortin (MC) system has been widely studied for its effects on food intake and sexual behavior. However, the MC system, and more specifically the MC4 receptor (MC4R), also interacts with neurochemical systems that regulate socioemotional behaviors, including oxytocin (OT) and dopamine. In monogamous prairie voles, OT and dopamine interact to promote partner preference formation, a laboratory measure of an enduring social bond between mates. Here we investigated the effects of MC receptor activation on partner preference formation in prairie voles, as well as the interaction between the MC and OT systems during this process. Peripheral administration of the brain penetrant MC3/4R receptor peptide agonist, Melanotan II (MTII), and the highly selective, small-molecule MC4R agonist, Pf-446687, enhanced partner preference formation in the prairie vole, but not in the non-monogamous meadow vole. MTII-induced partner preferences were enduring, as they were present 1 week after drug manipulation. The prosocial effects of MCR agonists may be mediated, in part, through modulation of OT, as coadministration of an OT receptor antagonist prevented MTII-induced partner preferences. MTII also selectively activated hypothalamic OT neurons and potentiated central OT release. As OT has been shown to enhance some aspects of social cognition in humans, our data suggest that the MC4R may be a viable therapeutic target for enhancing social function in psychiatric disorders, including autism spectrum disorders and schizophrenia, potentially through activation of the OT system.
SCZ Keywordsschizophrenia, schizophrenic
10Ann. Hum. Genet. 2016 Jan 80: 38-49
PMID26474449
TitlePractical Experience of the Application of a Weighted Burden Test to Whole Exome Sequence Data for Obesity and Schizophrenia.
AbstractFor biological and statistical reasons it makes sense to combine information from variants at the level of the gene. One may wish to give more weight to variants which are rare and those that are more likely to affect function. A combined weighting scheme, implemented in the SCOREASSOC program, was applied to whole exome sequence data for 1392 subjects with schizophrenia and 982 with obesity from the UK10K project. Results conformed fairly well with null hypothesis expectations and no individual gene was strongly implicated. However, a number of the higher ranked genes appear plausible candidates as being involved in one or other phenotype and may warrant further investigation. These include MC4R, NLGN2, CRP, DONSON, GTF3A, IL36B, ADCYAP1R1, ARSA, DLG1, SIK2, SLAIN1, UBE2Q2, ZNF507, CRHR1, MUSK, NSF, SNORD115, GDF3 and HIBADH. Some individual variants in these genes have different frequencies between cohorts and could be genotyped in additional subjects. For other genes, there is a general excess of variants at many different sites so attempts at replication would be more difficult. Overall, the weighted burden test provides a convenient method for using sequence data to highlight genes of interest.
SCZ Keywordsschizophrenia, schizophrenic
11Schizophr Bull 2016 May -1: -1
PMID27217270
TitlePharmacogenetic Associations of Antipsychotic Drug-Related Weight Gain: A Systematic Review and Meta-analysis.
AbstractAlthough 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.
SCZ Keywordsschizophrenia, schizophrenic