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Integrative Analyses of Transcriptomes to Explore Common Molecular Effects of Antipsychotic Drugs
There is little understanding of the underlying molecular mechanism(s) involved in the clinical efficacy of antipsychotics for schizophrenia. This study integrated schizophrenia-associated transcriptional perturbations with antipsychotic-induced gene expression profiles to detect potentially relevan...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325239/ https://www.ncbi.nlm.nih.gov/pubmed/35886854 http://dx.doi.org/10.3390/ijms23147508 |
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author | Truong, Trang T. T. Bortolasci, Chiara C. Kidnapillai, Srisaiyini Spolding, Briana Panizzutti, Bruna Liu, Zoe S. J. Kim, Jee Hyun Dean, Olivia M. Richardson, Mark F. Berk, Michael Walder, Ken |
author_facet | Truong, Trang T. T. Bortolasci, Chiara C. Kidnapillai, Srisaiyini Spolding, Briana Panizzutti, Bruna Liu, Zoe S. J. Kim, Jee Hyun Dean, Olivia M. Richardson, Mark F. Berk, Michael Walder, Ken |
author_sort | Truong, Trang T. T. |
collection | PubMed |
description | There is little understanding of the underlying molecular mechanism(s) involved in the clinical efficacy of antipsychotics for schizophrenia. This study integrated schizophrenia-associated transcriptional perturbations with antipsychotic-induced gene expression profiles to detect potentially relevant therapeutic targets shared by multiple antipsychotics. Human neuronal-like cells (NT2-N) were treated for 24 h with one of the following antipsychotic drugs: amisulpride, aripiprazole, clozapine, risperidone, or vehicle controls. Drug-induced gene expression patterns were compared to schizophrenia-associated transcriptional data in post-mortem brain tissues. Genes regulated by each of four antipsychotic drugs in the reverse direction to schizophrenia were identified as potential therapeutic-relevant genes. A total of 886 genes were reversely expressed between at least one drug treatment (versus vehicle) and schizophrenia (versus healthy control), in which 218 genes were commonly regulated by all four antipsychotic drugs. The most enriched biological pathways include Wnt signaling and action potential regulation. The protein-protein interaction (PPI) networks found two main clusters having schizophrenia expression quantitative trait loci (eQTL) genes such as PDCD10, ANK2, and AKT3, suggesting further investigation on these genes as potential novel treatment targets. |
format | Online Article Text |
id | pubmed-9325239 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93252392022-07-27 Integrative Analyses of Transcriptomes to Explore Common Molecular Effects of Antipsychotic Drugs Truong, Trang T. T. Bortolasci, Chiara C. Kidnapillai, Srisaiyini Spolding, Briana Panizzutti, Bruna Liu, Zoe S. J. Kim, Jee Hyun Dean, Olivia M. Richardson, Mark F. Berk, Michael Walder, Ken Int J Mol Sci Article There is little understanding of the underlying molecular mechanism(s) involved in the clinical efficacy of antipsychotics for schizophrenia. This study integrated schizophrenia-associated transcriptional perturbations with antipsychotic-induced gene expression profiles to detect potentially relevant therapeutic targets shared by multiple antipsychotics. Human neuronal-like cells (NT2-N) were treated for 24 h with one of the following antipsychotic drugs: amisulpride, aripiprazole, clozapine, risperidone, or vehicle controls. Drug-induced gene expression patterns were compared to schizophrenia-associated transcriptional data in post-mortem brain tissues. Genes regulated by each of four antipsychotic drugs in the reverse direction to schizophrenia were identified as potential therapeutic-relevant genes. A total of 886 genes were reversely expressed between at least one drug treatment (versus vehicle) and schizophrenia (versus healthy control), in which 218 genes were commonly regulated by all four antipsychotic drugs. The most enriched biological pathways include Wnt signaling and action potential regulation. The protein-protein interaction (PPI) networks found two main clusters having schizophrenia expression quantitative trait loci (eQTL) genes such as PDCD10, ANK2, and AKT3, suggesting further investigation on these genes as potential novel treatment targets. MDPI 2022-07-06 /pmc/articles/PMC9325239/ /pubmed/35886854 http://dx.doi.org/10.3390/ijms23147508 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Truong, Trang T. T. Bortolasci, Chiara C. Kidnapillai, Srisaiyini Spolding, Briana Panizzutti, Bruna Liu, Zoe S. J. Kim, Jee Hyun Dean, Olivia M. Richardson, Mark F. Berk, Michael Walder, Ken Integrative Analyses of Transcriptomes to Explore Common Molecular Effects of Antipsychotic Drugs |
title | Integrative Analyses of Transcriptomes to Explore Common Molecular Effects of Antipsychotic Drugs |
title_full | Integrative Analyses of Transcriptomes to Explore Common Molecular Effects of Antipsychotic Drugs |
title_fullStr | Integrative Analyses of Transcriptomes to Explore Common Molecular Effects of Antipsychotic Drugs |
title_full_unstemmed | Integrative Analyses of Transcriptomes to Explore Common Molecular Effects of Antipsychotic Drugs |
title_short | Integrative Analyses of Transcriptomes to Explore Common Molecular Effects of Antipsychotic Drugs |
title_sort | integrative analyses of transcriptomes to explore common molecular effects of antipsychotic drugs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9325239/ https://www.ncbi.nlm.nih.gov/pubmed/35886854 http://dx.doi.org/10.3390/ijms23147508 |
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