Evaluation and mechanism study of cardiotoxicity caused by antipsychotics using human-induced pluripotent stem cell-derived cardiomyocytes
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE248368 | GEO | 2024/01/01
REPOSITORIES: GEO
Similar Datasets
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.
2009-02-07 | E-GEOD-6467 | biostudies-arrayexpress
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.
2009-04-30 | E-GEOD-6511 | biostudies-arrayexpress
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
2006-12-13 | GSE6467 | GEO
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
2006-12-13 | GSE6511 | GEO
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
Project description:Schizophrenia is a psychiatric disorder that affects more than 21 million people worldwide. It is an incurable disorder and the primary means of managing symptoms is through administration of pharmacological treatments, which consist heavily of antipsychotics. First-generation antipsychotics have the properties of D2 receptor antagonists. Second-generation antipsychotic are antagonists of both D2 and 5HT2 receptors. Recently, there has been increasing interest in the effects of antipsychotics beyond their neuronal targets and oligodendrocytes are one of the main candidates. Thus, our aim was to evaluate the molecular effects of typical and atypical drugs across the proteome of the human oligodendrocyte cell line, MO3.13. For this, we performed a mass spectrometry-based, bottom-up shotgun proteomic analysis to identify differences triggered by typical (chlorpromazine and haloperidol) and atypical (quetiapine and risperidone) antipsychotics. Proteins which showed changes in their expression levels were analyzed in silico using Ingenuity® Pathway Analysis, which implicated dysregulation of canonical pathways for each treatment. Our results shed light on the biochemical pathways involved in the mechanisms of action of these drugs, which may guide the identification of novel biomarkers and the development of new and improved treatments.
2019-11-12 | PXD008892 | Pride
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: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 (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.
2021-01-01 | GSE157438 | 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