Effects of antipsychotics risperidone and olanzapine on the striatum, liver, pancreas and adipose tissue
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PROVIDER: PRJNA748379 | ENA |
REPOSITORIES: ENA
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Project description:Analysis of gene expression in the striatum, the liver, the pancreas, and the visceral adipose tissue of mice treated for 28 days with a daily dose of an atypical antipsychotic: risperidone (1 mg/kg) or olanzapine (3.5 mg/kg). Results provide new insights into the molecular mechanisms underlying antipschotic effects, particularly in tissues relevant for antipsychotic-induced metabolic dysregulation. Antipsychotics are associated with weight gain and other metabolic abnormalities such as hyperglycemia, dyslipidemia and metabolic syndrome. We used microarrays to uncover the underlying molecular mechanisms and identify the key genes involved in AP-induced metabolic effects.
2021-09-08 | GSE180473 | GEO
Project description:This work reveals the effect of antipsychotics on DNA methylation using the cell model. After the treatment of antipsychotics, haloperidol and risperidone, DNA methylation profiles obtained by Illumina HumanMethylation450 beadchip were examined.
2021-11-02 | GSE185973 | GEO
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
2013-11-22 | E-GEOD-52615 | biostudies-arrayexpress
Project description:Antipsychotics are usually the first option to treat schizophrenia; however, for a considerable fraction of patients, it lacks efficacy. Furthermore, there are no known biomarkers to indicate a treatment’s efficacy in a patient. Schizophrenia causes a large socioeconomic burden on countries along with an unquestionable impairment of the quality of life of patients and their relatives. As proteomics can identify, quantify, and characterize proteins in different conditions, it is a powerful tool to study complex diseases such as schizophrenia, also capable of revealing potential biomarkers. To improve treatment efficacy during the early stages of schizophrenia, a critical time period, molecular markers for a positive treatment response were sought. Blood plasma samples were collected in vivo from 26 patients before treatment with the atypical antipsychotics olanzapine and risperidone; they were then classified as good (GR) and poor (PR) responders. We were able to identify a potential panel of proteins that may predict a positive outcome to olanzapine and risperidone treatment. Although still exploratory, this data will assist in the development of personalized medicine strategies with potential clinical implementation
2020-06-01 | PXD015213 | Pride
Project description:Antipsychotics are the main line of treatment for schizophrenia, despite being effective only in about 50% of patients. Additionally, serious side effects may cause medication drop-out, aggravated by a lack of understanding about how these drugs act at molecular level. As proteomics is a suitable tool for studying multifactorial disorders, the main goal was to unravel signaling pathways in blood plasma associated with a positive treatment outcome for the atypical antipsychotics olanzapine and risperidone. Blood plasma was collected from schizophrenia patients six weeks after treatment (T6), and patients were classified as good or poor responders to olanzapine or risperidone, and then samples were compared to each patient's baseline (T0). All samples were analyzed using label-free quantitative shotgun proteomics. Samples were depleted of the 14 most abundant proteins in plasma, were digested, and then submitted to M-Class two-dimensional nano-liquid chromatography, coupled online to a Synapt G2-Si mass spectrometer. Data was obtained in MSE mode (data- independent acquisition) in combination with ion-mobility (HDMSE). The proteins found to be differentially abundant in good responders compared to poor responders for risperidone and olanzapine were functionally analyzed in silico using Ingenuity® Pathway Analysis and were found to be mostly involved with immune system functions. This data can contribute to better understand the biochemical signaling peripherally triggered by antipsychotic medication, and can eventually be used to help improve treatment outcome by predicting patient response as well as through the development of new medication or a combination of drugs that act on the immune system to reduce the duration of poor response periods in patients suffering with schizophrenia.
2020-06-01 | PXD015049 | Pride
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.
2013-11-22 | GSE52615 | GEO
Project description:Background. Schizophrenia is an idiopathic psychiatric disorder with a high degree of polygenicity. Evidence from genetics, single-cell, and pharmacological studies suggest an important overlap between genes involved in the etiology of schizophrenia and the cellular mechanisms of action of antipsychotics in medium spiny neurons (MSNs). Methods. We applied single-cell RNA-sequencing to striatal samples from C57BL/6J mice chronically exposed to a typical antipsychotic (haloperidol), an atypical antipsychotic (olanzapine), or placebo. We implemented careful statistical analyses to identify differentially expressed genes in two cell populations identified from the single-cell RNA-sequencing (MSNs and microglia) and applied multiple analysis pipelines to contextualize these findings. Results. Differential expression analysis showed that there was a larger share of differentially expressed genes (DEGs) in MSNs from mice treated with olanzapine vs. haloperidol. DEGs were enriched in broad loci implicated by genetic studies of schizophrenia, and we highlighted nine genes with convergent evidence. Pathway analyses highlighted alternative splicing, mitochondrial function, and neuron and synapse development as particularly engaged by antipsychotics. In microglia, we identified pathways involved in microglial activation and inflammation as part of the antipsychotic response. Conclusions. Our goal was to evaluate connections between schizophrenia genetic findings and cellular gene expression changes following antipsychotic exposure. We found that differential gene expression in MSNs from mice chronically treated with olanzapine converges on similar pathways and gene sets.
2021-04-14 | GSE171977 | GEO
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
Project description:Male Sprague-Dawley albino rats (Charles River) initially weighting approximately 200 grams were randomly assigned to one of the following: 1) olanzapine (2 mg/kg/day, I.P.) (N=20) or 2) Saline (N=20) and administered olanzapine or saline for 21 days. Frontal cortex (N=4/group) was dissected and homogenized for microarray, QPCR and western blotting following previous methods (Fatemi et al. 2003; Brooks et al. 2003). RNA isolation, cDNA preparation, microarray hybridization and QPCR followed previous methods (Brooks et al. 2003). Keywords = olanzapine Keywords = frontal cortex Keywords: repeat sample
2007-04-10 | GSE2547 | GEO
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. Gene expression was assessed by microarray (Human Genome U219 Array) in cells treated with risperidone 10 µM at 6, 24 and 48 h
2012-03-22 | E-GEOD-36678 | biostudies-arrayexpress