Association between the ROBO1 gene and body mass index in patients using antipsychotics.
ABSTRACT Weight gain is one of the major problems in patients using antipsychotic medication, leading to relevant morbidities and reduced compliance to pharmacotherapy. Recently, an association has been reported between a single nucleotide polymorphism (rs1455832) of the roundabout axon guidance receptor, homolog 1 (ROBO1) gene and body mass index (BMI) in persons younger than 30 years. The aim of this study is to investigate the association between BMI and rs1455832 in patients with a psychotic disorder using antipsychotics.
A cross-sectional design was used in a pooled sample of Caucasian psychiatric patients obtained from three comparable Dutch psychiatric populations. Patients were eligible for inclusion in this study if they met the Diagnostic and Statistical Manual of Mental Disorders-IV criteria for a nonaffective psychotic disorder, were 18 years or older, and used one or more antipsychotics. Genotyping was performed according to standard protocols. Linear (for BMI) and logistic (for obesity, defined as BMI > 30) regression analyses, corrected for age and sex, were applied in the statistical analyses.
A total of 435 patients were included in this association analyses. The rs1455832 polymorphism studied was significantly associated with BMI and obesity in female patients. Female patients had a statistically significant (P = 0.025) decrease of 1.76 kg/m in BMI values per C allele. In contrast to female patients, this association was not exhibited in male patients.
The rs1455832 polymorphism may play a role in inducing obesity in female patients using antipsychotics.
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ABSTRACT: Risperidone is a potent antagonist of both dopamine and serotonin receptors. However, little is known about the underlying molecular mechanism by which risperidone acts. Although a number of genetic variants have been observed to correlate with treatment response there are no definitive predictors of response. We performed a genome-wide gene expression analysis (Human Genome U219 Array Plate) of a human neuroblastoma cell line (SK-N-SH) exposed to risperidone to identify molecular mechanisms involved in the cellular response to risperidone and thus identify candidate genes for pharmacogenetic studies. Our results revealed that cellular risperidone treatment is associated with a range of gene expression changes, which are time (6-48h) and dose related (0.1-10μM). We found that functional clusters of these changes correspond to Gene Ontology categories related to neural cell development functions, and synaptic structure and functions. We also identified Canonical Pathways related to these functional categories: neurogenesis and axon guidance; synaptic vesicle; and neurotransmitter signaling (dopamine, serotonin and glutamate). Finally, we identified candidate genes for pharmacogenetic studies related to the main risperidone secondary effects: motor disorders, cardiovascular disorders and metabolic disorders. Our results suggest that risperidone treatment affects the neurogenesis and neurotransmission of neuroblastoma cells, which is in agreement with the "initiation and adaptation" model to explain the mechanism of action of psychotropic drugs.European neuropsychopharmacology: the journal of the European College of Neuropsychopharmacology 05/2012; · 3.68 Impact Factor
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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.Pharmacogenomics 12/2013; 14(16):2067-83. · 3.86 Impact Factor