Dataset of histone H3K4me2 modified genes in the liver of female Sprague-Dawleyrats with chronic antipsychotic drugs of olanzapine or clozapine
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ABSTRACT: Dataset of histone H3K4me2 modified genes in the liver of female Sprague-Dawleyrats with chronic antipsychotic drugs of olanzapine or clozapine
Project description:Epigenetic histone modificationshave been found to be associated with the development of metabolic disorders.However,the potential contribution of these modifications to metabolic disturbances induced by chronic treatment with second-generation antipsychotic drugs (SGAs) remains unclear. This study presents chromatin immunoprecipitation (ChIP) data on H3K4me methylation in hepatic tissue of rats treated with olanzapine or clozapine for 9 weeks.This dataset provides a comprehensive view of the effects of SGAs on H3K4me methylation in an animal model, offering new insights into the epigenetic mechanisms underlying SGAs-induced metabolic side effects.
Project description:Antipsychotic drugs are commonly used to treat psychosis, mood disorders, and anxiety. While there is indirect evidence that some component of the antipsychotic effect of these drugs may involve modulation of dopamine transmission, their mechanism of action is poorly understood. We hypothesized that antipsychotic drugs mediate their effects via epigenetic modulation. Here we tested the effect of an antipsychotic, olanzapine, on the methylation status of genes following chronic treatment. These effects have been revealed through significantly increased (p<0.01) DNA methylation of genes involved in dopaminergic and non-dopaminergic pathways including the glutamatergic, GABAergic, cholinergic, neuregulin and ErbB signaling pathways. The affected genes included GLS in hippocampus, NR1 in cerebellum and GLUD1 and NR2B in liver. Further, from a set of genes in the 22q11.2 micro-deletions that has been previously implicated in psychosis, 22 genes showed increased methylation following olanzapine treatment. Ingenuity Pathway Analysis (IPA) revealed that chronic olanzapine treatment significantly affected several important pathways such as CREB and CDK5 signaling (p=1.4E-05). Also, DNA replication, recombination and repair, cellular movement and cell cycle have been identified as the top networks affected by olanzapine. The results suggest that these downstream effects, aside from D2 blockade, may play a critical role in the biological actions of antipsychotics. These include altered expressions of relevant genes involved in GABAergic, glutamatergic, cholinergic, neuregulin and ErbB signaling pathways. Epigenetic mechanisms involving changes in DNA methylation could, therefore, explain the delay and individualized non-specificity of biological effects of olanzapine. The results also suggest that DNA methylation may play a role in the process of therapeutic efficacy of olanzapine by altering the transcriptome via tissue-specific methylation of genes involved in schizophrenia signaling pathways. comparison of olanzapine treated rats vs. control rats for genome-wide DNA methylation changes
Project description:Antipsychotic drugs are commonly used to treat psychosis, mood disorders, and anxiety. While there is indirect evidence that some component of the antipsychotic effect of these drugs may involve modulation of dopamine transmission, their mechanism of action is poorly understood. We hypothesized that antipsychotic drugs mediate their effects via epigenetic modulation. Here we tested the effect of an antipsychotic, olanzapine, on the methylation status of genes following chronic treatment. These effects have been revealed through significantly increased (p<0.01) DNA methylation of genes involved in dopaminergic and non-dopaminergic pathways including the glutamatergic, GABAergic, cholinergic, neuregulin and ErbB signaling pathways. The affected genes included GLS in hippocampus, NR1 in cerebellum and GLUD1 and NR2B in liver. Further, from a set of genes in the 22q11.2 micro-deletions that has been previously implicated in psychosis, 22 genes showed increased methylation following olanzapine treatment. Ingenuity Pathway Analysis (IPA) revealed that chronic olanzapine treatment significantly affected several important pathways such as CREB and CDK5 signaling (p=1.4E-05). Also, DNA replication, recombination and repair, cellular movement and cell cycle have been identified as the top networks affected by olanzapine. The results suggest that these downstream effects, aside from D2 blockade, may play a critical role in the biological actions of antipsychotics. These include altered expressions of relevant genes involved in GABAergic, glutamatergic, cholinergic, neuregulin and ErbB signaling pathways. Epigenetic mechanisms involving changes in DNA methylation could, therefore, explain the delay and individualized non-specificity of biological effects of olanzapine. The results also suggest that DNA methylation may play a role in the process of therapeutic efficacy of olanzapine by altering the transcriptome via tissue-specific methylation of genes involved in schizophrenia signaling pathways.
Project description:Antipsychotic drugs (APs) are used to treat psychiatric disorders but also have the prominent side effect of weight gain resulting in a higher incidence of metabolic disease in this patient group. While the majority of patients gain significant weight in response to APs some patients are relatively resistant to these effects. APs such as clozapine and olanzapine are deemed to be highly efficacious at treating psychiatric conditions yet they have some of the highest weight gain liabilities. Therefore, there is a need to determine which patients are less susceptible to the metabolic side effects of APs and would be good candidates for drugs such as olanzapine, and conversely, identifying patients that should be prescribed alternative APs with less weight gain liabilities.
Project description:Atypical antipsychotic Clozapine has a superior antipsychotic and antimanic effects compared to other antisphicotics. Its widespread use was limited by the side effects of agranulocytosis, cardiomyopathy and metabolic anomalies such as weight gain, and diabetes. Very little is known about mechanisms by which Clozapine works. The aim of this experiment is to compare the chronic gene expression profile of the atypical antipsychotic Clozapine to the typical antipsychotic drug Haloperidol using gene expression Microarray in order to understand the intercellular mechanism behind the therapeutic and the toxic effects of Clozapine. Keywords: drug response
Project description:Atypical antipsychotic Clozapine has a superior antipsychotic and antimanic effects compared to other antisphicotics. Its widespread use was limited by the side effects of agranulocytosis, cardiomyopathy and metabolic anomalies such as weight gain, and diabetes. Very little is known about mechanisms by which Clozapine works. The aim of this experiment is to compare the chronic gene expression profile (i.e four weeks) of the atypical antipsychotic Clozapine to the typical antipsychotic drug Haloperidol using gene expression Microarray in order to understand the intercellular mechanism behind the therapeutic and the toxic effects of Clozapine. Keywords: drug response
Project description:Atypical antipsychotic Clozapine has a superior antipsychotic and antimanic effects compared to other antisphicotics. Its widespread use was limited by the side effects of agranulocytosis, cardiomyopathy and metabolic anomalies such as weight gain, and diabetes. Very little is known about mechanisms by which Clozapine works. The aim of this experiment is to compare the chronic gene expression profile of the atypical antipsychotic Clozapine to the typical antipsychotic drug Haloperidol using gene expression Microarray in order to understand the intercellular mechanism behind the therapeutic and the toxic effects of Clozapine. Experiment Overall Design: The study was designed to compare the chronic therapeutic and toxic expression profile of Clozapine to Haloperidol in the mouse brain. All experiments were performed in male C57BL mice at four weeks of age (Biological services, University Collage London). Several theoretical and practical considerations influenced the final experimental design. To avoid the effect of injections on genes expression and to simulate the clinical scenario in human, both drugs were applied to the animals drinking water using the maximum human therapeutic dose (i.e. 1.6mg/kg/day for Haloperidol and 12mg/kg/day for Clozapine). Thirty animals were divided equally between three treatment groups and received either Haloperidol (10 animals), Clozapine (10 animals) or no treatment (10 animals) for 12 weeks. After twelve weeks, the total RNA from the right forebrains were extracted and hybridized to the Affymetrix MOE430A array. In all the Microarray experiments we have avoided pooling and each RNA sample was an independent biological replicate. The total numbers of used arrays were 30 Affymetrix MOE430A arrays.
Project description:Antipsychotic drugs are classified as typical and atypical based on extrapyramidal effects. However, since the frontal cortex is one of the most important regions for antipsychotic actions, this study attempted to classify antipsychotic drugs based on gene expression in the frontal cortex. Chlorpromazine and thioridazine were selected as typical antipsychotics, and olanzapine and quetiapine as atypical antipsychotics. Since these drugs have similar chemical structures, the effect of the basic structure on gene expression can be eliminated. Cluster analysis of microarray experiments showed thioridazine and olanzapine constituted a robust cluster. K-means clustering separated 4-drug-administered mice into chlorpromazine-quetiapine and thioridazine-olanzapine groups. This classification scheme is different from that which is based on criteria currently used to group the typical and atypical drugs and suggests that antipsychotic drugs can be further separated into multiple groups. Keywords: repeat sample
Project description:In this study, a comprehensive evaluation model for studying the cardiac toxicity of antipsychotic drugs was established by using iPSC-CMs. Six antipsychotic drugs, including aripiprazole, risperidone, quetiapine, haloperidol, clozapine, and olanzapine, all induced concentration-dependent QT prolongation in iPSC-CMs upon acute administration, and high concentrations of these drugs caused disorganized sarcomere arrangement in iPSC-CMs.
Project description:Atypical antipsychotic Clozapine has a superior antipsychotic and antimanic effects compared to other antisphicotics. Its widespread use was limited by the side effects of agranulocytosis, cardiomyopathy and metabolic anomalies such as weight gain, and diabetes. Very little is known about mechanisms by which Clozapine works. The aim of this experiment is to compare the chronic gene expression profile (i.e four weeks) of the atypical antipsychotic Clozapine to the typical antipsychotic drug Haloperidol using gene expression Microarray in order to understand the intercellular mechanism behind the therapeutic and the toxic effects of Clozapine. Experiment Overall Design: The study was designed to compare the chronic therapeutic and toxic expression profile of Clozapine to Haloperidol in the mouse brain. All experiments were performed in male C57BL mice at four weeks of age (Biological services, University Collage London). Several theoretical and practical considerations influenced the final experimental design. To avoid the effect of injections on genesâ expression and to simulate the clinical scenario in human, both drugs were applied to the animalsâ drinking water using the maximum human therapeutic dose (i.e.1.6mg/kg/day for Haloperidol and 12mg/kg/day for Clozapine).Thirty animals were divided equally between three treatment groups and received either Haloperidol (10 animals), Clozapine (10 animals) or no treatment (10 animals) for 4 weeks. After four weeks,the plasma drug level for both drugs was assesed by Tandem mass Spectrometry LC- MS/MS. The total RNA from the right forebrains of nine selected animals (three from each treatment group) were extracted and hybridized to the Affymetrix U74Av2. In all the Microarray experiments we have avoided pooling and each RNA sample was an independent biological replicate. The total numbers of used arrays were 9 Affymetrix U74Av2.