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Network analysis of gene expression in mice provides new evidence of involvement of the mTOR pathway in antipsychotic-induced extrapyramidal symptoms

ABSTRACT: To identify potential candidate genes for future pharmacogenetic studies of antipsychotic (AP)-induced extrapyramidal symptoms (EPS), we used gene expression arrays to analyze changes induced by risperidone in mice strains with different susceptibility to EPS This study is a part of a convergent functional genomic approach that plans to integrate the data presented here with: data from gene expression analysis of neuroblastoma cell line under treatment with risperidone; and data from gene expression analysis of peripheral blood from first psychotic patients treated with risperidone.

ORGANISM(S): Mus musculus

PROVIDER: GSE67723 | GEO | 2015/04/09

SECONDARY ACCESSION(S): PRJNA280755

REPOSITORIES: GEO

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Network analysis of gene expression in mice provides new evidence of involvement of the mTOR pathway in antipsychotic-induced extrapyramidal symptoms

Project description:To identify potential candidate genes for future pharmacogenetic studies of antipsychotic (AP)-induced extrapyramidal symptoms (EPS), we used gene expression arrays to analyze changes induced by risperidone in mice strains with different susceptibility to EPS This study is a part of a convergent functional genomic approach that plans to integrate the data presented here with: data from gene expression analysis of neuroblastoma cell line under treatment with risperidone; and data from gene expression analysis of peripheral blood from first psychotic patients treated with risperidone. Gene expression was assessed by microarray (Affymetrix GeneChip® Arrays MG 430 PM) in mice treated with risperidone 1mg/kg for three consecutive days

2015-04-09 | E-GEOD-67723 | biostudies-arrayexpress

Expression data SK-N-SH cells treated with risperidone

Project description:We performed a pharmacotranscriptomic analysis 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. This study is a part of a convergent functional genomic approach that plans to integrate the data presented here with: data from gene expression analysis of experimental animal brain under treatment with risperidone; and data from gene expression analysis of peripheral blood from first psychotic patients treated with risperidone.

2012-03-22 | GSE36678 | GEO

Expression data SK-N-SH cells treated with risperidone

2012-03-22 | E-GEOD-36678 | biostudies-arrayexpress

Assess the effects of antipsychotic use on gene expression changes in dementia

Project description:In order to elucidate mechanisms underlying adverse effects of antipsychotic use in dementia we generated gene expression signatures for three antipsychotics representing a range of mechanisms of action relevant to the current landscape of drug development and clinical use in dementia: amisulpride (primarily a D2/D3 antagonist), risperidone (primarily a 5HT2A/D2 antagonist) and volinanserin (highly selective 5HT2A inverse agonist). We reported that the antipsychotic signatures would be score positively with conditions and diseases related to known side effects of their use in dementia such as cardiovascular and infectious diseases.

2020-04-30 | GSE149611 | GEO

The Atypical Antipsychotic Risperidone Targets Central Melanocortin 4 Receptors to Cause Weight

Project description:The Atypical Antipsychotic Risperidone Targets Central Melanocortin 4 Receptors to Cause Weight

| PRJNA666420 | ENA

The Atypical Antipsychotic Risperidone Targets Central Melanocortin 4 Receptors to Cause Weight

Project description:hypothalami from female C57BL/6 mice fed either the risperidone or the control diet for 28 days, along with those from a third group of “pair-fed” mice that were given the risperidone diet, but limited to the same amount that Ctrl_ Ad lib mice had consumed.

2021-01-01 | GSE158751 | GEO

Evaluation and mechanism study of cardiotoxicity caused by antipsychotics using human-induced pluripotent stem cell-derived cardiomyocytes

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.

2024-01-01 | GSE248368 | GEO

Antipsychotic Weight Gain

Project description:Altered Gene Expression in Antipsychotic Induced Weight Gain

| PRJEB31532 | ENA

Microarray profiling of rats treated for 21 days with haloperidol (0.25 mg/kg/d), risperidone (5 mg/kg/d) or vehicle

Project description:SD rats were dosed with gold standard antipsychotic therapies, haloperidol or risperidone, at doses aimed at achieving therapeutically relevant drug exposures. Tissues were collected after 21 days of delivery to examine the impact of this treatment on gene expression in frontal cortex, hippocampus and striatum.

2015-03-16 | GSE66275 | GEO

Classification of Antipsychotic Drugs by Gene Expression in the Frontal Cortex of Mice

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

2004-09-24 | GSE1501 | GEO

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