Genetic study of neuregulin 1 and receptor tyrosine-protein kinase erbB-4 in tardive dyskinesia.

OBJECTIVES: Tardive dyskinesia (TD) is a movement disorder that may develop as a side effect of antipsychotic medication. The aetiology underlying TD is unclear, but a number of mechanisms have been proposed. METHODS: We investigated single-nucleotide polymorphisms (SNPs) in the genes coding for neuregulin-1 and erbB-4 receptor in our sample of 153 European schizophrenia patients for possible association with TD. RESULTS: We found the ERBB4 rs839523 CC genotype to be associated with risk for TD occurrence and increased severity as measured by the Abnormal Involuntary Movement Scale (AIMS) (P = .003). CONCLUSIONS: This study supports a role for the neuregulin signalling pathway in TD, although independent replications are warranted.

Impact of histamine receptors H1 and H3 polymorphisms on antipsychotic-induced weight gain.

OBJECTIVES: A positive correlation between antipsychotic-induced weight gain (AIWG) and the antagonist effect of antipsychotic drugs at the histamine H1 receptor (HRH1) as well as the agonist effect at the histamine H3 receptor (HRH3) in the brain has been consistently demonstrated. We investigated the potential impact of single-nucleotide polymorphisms (SNPs) in HRH1 and HRH3 genes on AIWG. METHODS: We analysed 40 tagSNPs in HRH1 (n = 34) and HRH3 (n = 6) in schizophrenia/schizoaffective disorder patients (n = 193) primarily treated with clozapine or olanzapine for up to 14 weeks. Linear regression was used to evaluate the association between SNPs and AIWG, with baseline weight and treatment duration as covariates. RESULTS: In HRH1, a nominal association of rs7639145 with AIWG was observed in patients of European ancestry treated with either clozapine or olanzapine (P = 0.043; ß = 1.658; n = 77). We observed nominal association for two HRH1 SNPs rs346074 (P = 0.002; ß = -5.024) and rs13064530 (P = 0.004; ß = -5.158) in patients of African ancestry treated with either clozapine or olanzapine (n = 37). However, the above associations are not significant after correcting for multiple testing. In HRH3, we did not observe association in either ancestry. CONCLUSIONS: The current study suggests that SNPs in HRH1 and HRH3 may not have a major role in AIWG.

Association Study of Serotonin 3 Receptor Subunit Gene Variants in Antipsychotic-Induced Weight Gain.

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.

Association of orexin receptor polymorphisms with antipsychotic-induced weight gain.

OBJECTIVES: Antipsychotic-induced weight gain (AIWG) is a common side effect of treatment with antipsychotics such as clozapine and olanzapine. The orexin gene and its receptors are expressed in the hypothalamus and have been associated with maintenance of energy homeostasis. In this study, we have analysed tagging single nucleotide polymorphisms (SNPs) in orexin receptors 1 and 2 (HCRTR1 and HCRTR2) for association with AIWG. METHODS: Schizophrenia or schizoaffective disorder subjects (n = 218), treated mostly with clozapine and olanzapine for up to 14 weeks, were included. Replication was conducted in a subset of CATIE samples (n = 122) treated with either olanzapine or risperidone for up to 190 days. Association between SNPs and AIWG was assessed using analysis of covariance (ANCOVA) with baseline weight and duration of treatment as covariates. RESULTS: Several SNPs in HCRTR2 were nominally associated with AIWG in patients of European ancestry treated with either clozapine or olanzapine (P<0.05). In the replication analysis two SNPs rs3134701 (P = 0.043) and rs12662510 (P = 0.012) were nominally associated with AIWG. None of the SNPs in HCRTR1 were associated with AIWG. CONCLUSION: This study provides preliminary evidence supporting the role of HCRTR2 in AIWG. However, these results need to be confirmed in large study samples.

Genetic variation in CYP3A43 is associated with response to antipsychotic medication.

Genetic variation in cytochrome enzymes is known to affect drug metabolism and influence treatment response. Recently, the rs472660 variant in CYP3A43 has been associated with olanzapine response and clearance. In this study, we investigated the impact of rs472660 and the putatively functional marker rs680055 on antipsychotic response. We genotyped the rs472660 and rs680055 single nucleotide polymorphisms (SNPs) in N = 152 schizophrenia patients of European descent collected at two sample sites who were predominately treated with second generation antipsychotics for up to 6 months. Treatment response was assessed prospectively using Brief Psychiatric Rating Scale (BPRS) scores. Statistical analysis was performed using Chi square and analysis of covariance. The rs680055 SNP was significantly associated with treatment response. Carriers of the minor allele had significantly lower BPRS scores at study end (p = 5.9 × 10(-4)) with 8 % of the variance being explained by rs680055 genotype. Post hoc analyses revealed that this effect was present in both samples and in both genders. The rs472660 SNP was also associated with response (p = 0.027); however, this finding was not significant after multiple test correction. This is the first evidence that the rs680055 missense mutation influences antipsychotic response. Although our finding for rs472660 was only a non-significant trend after correction, our results still support the notion that this SNP may play a role in antipsychotic response. Despite the fact that the functional role of CYP3A43 in antipsychotic metabolism is not fully understood yet, our study provides an important contribution to understanding genetic factors of antipsychotic response.

Association study of GABAA α2 receptor subunit gene variants in antipsychotic-associated weight gain.

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.

No evidence for a role of the peroxisome proliferator-activated receptor gamma (PPARG) and adiponectin (ADIPOQ) genes in antipsychotic-induced weight gain.

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.

Genetic variation in the GCG and in the GLP1R genes and antipsychotic-induced weight gain.

AIM: GLP-1 plays a key role in glucose metabolism and influences antipsychotic-induced weight gain (AIWG). Our study is the first to investigate the encoding gene, GCG, and the GLP-1 receptor gene, GLP1R, and association with AIWG. MATERIALS & METHODS: In 216 schizophrenic patients treated with antipsychotics for up to 14 weeks, we investigated four GCG and 33 GLP1R polymorphisms. Statistical analyses were conducted using SPSS, Haploview 4.2, UNPHASED 3.1.4 and the R-package mbmdr. RESULTS: We observed association of rs13429709 near GCG with AIWG (p(corr) = 0.044) in patients of European ancestry receiving olanzapine or clozapine (n = 87). We also found significant gene-gene interaction between rs13429709 and rs2268639 in GLP1R. Only nonsignificant trends were observed for GLP1R polymorphisms with AIWG. CONCLUSION: We found significant association of rs13429709 with AIWG. Although there was no significant finding for GLP1R, the observed trends and interaction suggest this to be an interesting gene for further examination.

Investigation of melanocortin system gene variants in antipsychotic-induced weight gain.

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.

The pharmacogenetics of antipsychotic-induced adverse events.

PURPOSE OF REVIEW: Antipsychotic 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. RECENT FINDINGS: 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. SUMMARY: 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.

The role of brain-derived neurotrophic factor (BDNF) gene variants in antipsychotic response and antipsychotic-induced weight gain.

BACKGROUND: Brain-derived neurotrophic factor (BDNF) has extensive effects on the nervous system including cell survival, differentiation, neuronal growth and maintenance, as well as cell death. Moreover, it promotes synaptic plasticity and interacts with dopaminergic and serotonergic neurons, suggesting an important role on the alteration of brain function with antipsychotic medications and induced weight gain in schizophrenia patients. The differential effects of BDNF gene variants could lead to changes in brain circuitry that would in turn cause variable response to antipsychotic medication. Therefore, we hypothesized that genetic variation in this candidate gene helps in explaining the inter-individual variation observed in antipsychotic drug treatment with respect to response and induced weight gain. METHOD: We examined four single-nucleotide polymorphisms across the BDNF gene, including Val66Met (rs6265). Prospective BPRS change scores and weight change after six weeks were obtained from a total of 257 schizophrenia patients of European ancestry. RESULTS: The markers rs11030104 and Val66Met were associated with antipsychotic response (P=0.04; 0.007, respectively). On the other hand, marker rs1519480 was associated with weight gain (P=0.04). Moreover, a two-marker haplotype across rs6265 and rs1519480 was associated with weight change (P=0.001). Results with Val66Met in response, and results with rs6265-rs1519480 haplotypes remained significant at the modified Bonferroni corrected alpha of 0.017. CONCLUSION: BDNF genetic variants might play an important role in predicting antipsychotic response and antipsychotic-induced weight gain. However, replication in larger and independent samples is required.

Association between common variants near the melanocortin 4 receptor gene and severe antipsychotic drug-induced weight gain.

CONTEXT: Second-generation antipsychotics (SGAs) are increasingly used in the treatment of many psychotic and nonpsychotic disorders. Unfortunately, SGAs are often associated with substantial weight gain, with no means to predict which patients are at greatest risk. OBJECTIVE: To identify single-nucleotide polymorphisms associated with antipsychotic drug­induced weight gain. DESIGN: Pharmacogenetic association study. SETTING: The discovery cohort was from a US general psychiatric hospital. Three additional cohorts were from psychiatric hospitals in the United States and Germany and from a European antipsychotic drug trial. PARTICIPANTS: The discovery cohort consisted of 139 pediatric patients undergoing first exposure to SGAs. The 3 additional cohorts consisted of 73, 40, and 92 subjects. INTERVENTION: Patients in the discovery cohort were treated with SGAs for 12 weeks. Additional cohorts were treated for 6 and 12 weeks. MAIN OUTCOME MEASURES: We conducted a genomewide association study assessing weight gain associated with 12 weeks of SGA treatment in patients undergoing first exposure to antipsychotic drugs. We next genotyped 3 independent cohorts of subjects assessed for antipsychotic drug-induced weight gain. RESULTS: Our genome-wide association study yielded 20 single-nucleotide polymorphisms at a single locus exceeding a statistical threshold of P<10(-5). This locus, near the melanocortin 4 receptor (MC4R) gene, overlaps a region previously identified by large-scale genome-wide association studies of obesity in the general population. Effects were recessive, with minor allele homozygotes gaining extreme amounts of weight during the 12-week trial. These results were replicated in 3 additional cohorts, with rs489693 demonstrating consistent recessive effects; meta-analysis revealed a genome-wide significant effect (P=5.59 X 10 (-12). Moreover, we observed consistent effects on related metabolic indices, including triglyceride, leptin, and insulin levels. CONCLUSIONS: These data implicate MC4R in extreme SGA-induced weight gain and related metabolic disturbances. A priori identification of high-risk subjects could lead to alternative treatment strategies in this population.

Association study between variants of AMP-activated protein kinase catalytic and regulatory subunit genes with antipsychotic-induced weight gain.

Weight gain and metabolic syndrome are the most common deleterious side effects following treatment with second generation antipsychotic drugs such as clozapine and olanzapine. However, the mechanisms underlying these negative effects of second generation antipsychotic drugs are not fully understood. In this study we investigate whether variants in the genes coding for the α-catalytic (PRKAA1, PRAKAA2) and the ß regulatory subunits (PRKAB1 and PRKAB2) of the cellular energy sensor AMP-activated protein kinase (AMPK) are associated with antipsychotic-induced weight gain. To accomplish this, ten polymorphisms in 208 schizophrenia or schizoaffective disorder patients treated with clozapine, haloperidol, risperidone or olanzapine for up to 14 weeks were analyzed. Significant association was observed between rs3766522 in PRKAB2 (AA vs. AT + TT; p = 0.022) and rs10789038 in PRKAA2 (GG + GA vs. AA, p = 0.023) with weight change (%) in patients of European ancestry following treatment with clozapine or olanzapine. Allelic association of the T-allele of rs3766522 (p = 0.019) and the G-allele of rs10789038 (p = 0.041) with weight change (%) was also observed. Analysis of raw weight gain revealed that carriers of the T-allele of rs3766522 (AT + TT, 4.3 kg ± 3.7) gained more weight than the AA-genotype carriers (2.5 kg ± 4.5, p = 0.042). Similarly, carriers of the G-allele of rs10789038 (GG + GA, 4.2 kg ± 4.5) gained more weight than AA-homozygotes (1.5 kg ± 2.9, p = 0.014) under antipsychotic treatment. In conclusion, we observed significant associations between polymorphisms in AMPK subunit genes and weight gain induced by clozapine and olanzapine.

The brain-derived neurotrophic factor gene in suicidal behaviour: a meta-analysis.

Suicide is a prominent public health problem. Its aetiology is complex, and the brain-derived neurotrophic factor (BDNF) has been implicated. We performed the first meta-analysis of the functional BDNF marker Val66Met (rs6265, 196G>A) in suicidal behaviour using data from 11 previously published samples plus our present sample (total n=3352 subjects, 1202 with history of suicidal behaviour. The meta-analysis including all 12 studies showed a trend for the Met-carrying genotypes and Met allele conferring risk for suicide (random-effects model p=0.096; ORMet-carrier=1.13, 95% CI 0.98-1.30, and random-effects model p=0.032; ORMet=1.16, 95% CI 1.01-1.32, respectively). Furthermore, we found the Met allele and the Met allele-carrying genotypes to be associated with history of suicide attempt (eight studies; allelic meta-analysis--random-effects model: p=0.013; fixed-effects model: p=0.006; genotypic meta-analysis--random-effects model: p=0.017; fixed-effects model: p=0.008). Taken together, the results from our study suggest that BDNF Val66Met is involved in suicidality. Further studies are required to elucidate its role in suicidal behaviour.

Genetics of antipsychotic-induced side effects and agranulocytosis.

Antipsychotic medication has been enormously helpful in the treatment of psychotic symptoms during the past several decades. Unfortunately, several important side effects that can cause significant morbidity and mortality. The two most common are abnormal involuntary movements (tardive dyskinesia) and weight gain progressing through diabetes to metabolic syndrome. A more rare and life-threatening adverse effect is clozapine-induced agranulocytosis (CIA), which has been linked to clozapine use. Clozapine itself has a unique position among antipsychotic medications, representing the treatment of choice in refractory schizophrenia. Unfortunately, the potential risk of agranulocytosis, albeit small, prevents the widespread use of clozapine. Very few genetic determinants have been clearly associated with CIA due to small sample sizes and lack of replication in subsequent studies. The HLA system has been the main hypothesized region of interest in the study of CIA, and several gene variants in this region have been implicated, particularly variants of the HLA-DQB1 locus. A preliminary genome-wide association study has been conducted on a small sample for CIA, and a signal from the HLA region was noted. However, efforts to identify key gene mechanisms that will be useful in predicting antipsychotic side effects in the clinical setting have not been fully successful, and further studies with larger sample sizes are required.

Association study of the GSK-3B gene with tardive dyskinesia in European Caucasians.

There is solid evidence of a genetic predisposition to tardive dyskinesia (TD) although the pathophysiological mechanisms of TD are still unclear. Nevertheless, the dopamine overactivity hypothesis of the TD etiology receives support from both pharmacological and physiological evidence. Dopaminergic signaling modulates the glycogen synthase kinase 3B (GSK-3B), a kinase that may play a critical role in the pathogenesis of neurodegenerative diseases. GSK-3B is an essential element of the apoptotic signaling cascade induced by oxidative stress, which may be involved in TD pathogenesis. We investigated whether GSK-3B polymorphisms (rs11919783, rs6805251, rs7624540, rs6438552, rs4072520, rs9878473, rs6779828 and rs3755557) selected using tagging method were associated with TD manifestation and abnormal involuntary movement severity. We evaluated 215 schizophrenia subjects from whom 169 were European Caucasians. All eight evaluated variants had their minor allele carriers consistently showing lower risk to TD and lower Abnormal Involuntary Movement Scale. The rs6805251, rs6438552 and rs9878473 variants showed a trend for association with TD in European Caucasian subjects (permuted p=0.07). Furthermore, all tested markers showed p< or =0.0007 after we incorporated age as covariate in the analysis of the abnormal involuntary movement severity. Our results suggest that GSK-3B polymorphism may play a role in the genetic vulnerability to TD manifestation in schizophrenia subjects with European Caucasian background further implicating polymorphisms in the dopamine D2-like receptor signaling in this context. These findings should be read with caution particularly before independent replication.