Cargando…
Identification of EP300 as a Key Gene Involved in Antipsychotic-Induced Metabolic Dysregulation Based on Integrative Bioinformatics Analysis of Multi-Tissue Gene Expression Data
Antipsychotics (APs) are associated with weight gain and other metabolic abnormalities such as hyperglycemia, dyslipidemia and metabolic syndrome. This translational study aimed to uncover the underlying molecular mechanisms and identify the key genes involved in AP-induced metabolic effects. An int...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414590/ https://www.ncbi.nlm.nih.gov/pubmed/34483940 http://dx.doi.org/10.3389/fphar.2021.729474 |
_version_ | 1783747809033322496 |
---|---|
author | Martínez-Pinteño, Albert Gassó, Patricia Prohens, Llucia Segura, Alex G. Parellada, Mara Saiz-Ruiz, Jerónimo Cuesta, Manuel J. Bernardo, Miguel Lafuente, Amalia Mas, Sergi Rodríguez, Natalia |
author_facet | Martínez-Pinteño, Albert Gassó, Patricia Prohens, Llucia Segura, Alex G. Parellada, Mara Saiz-Ruiz, Jerónimo Cuesta, Manuel J. Bernardo, Miguel Lafuente, Amalia Mas, Sergi Rodríguez, Natalia |
author_sort | Martínez-Pinteño, Albert |
collection | PubMed |
description | Antipsychotics (APs) are associated with weight gain and other metabolic abnormalities such as hyperglycemia, dyslipidemia and metabolic syndrome. This translational study aimed to uncover the underlying molecular mechanisms and identify the key genes involved in AP-induced metabolic effects. An integrative gene expression analysis was performed in four different mouse tissues (striatum, liver, pancreas and adipose) after risperidone or olanzapine treatment. The analytical approach combined the identification of the gene co-expression modules related to AP treatment, gene set enrichment analysis and protein-protein interaction network construction. We found several co-expression modules of genes involved in glucose and lipid homeostasis, hormone regulation and other processes related to metabolic impairment. Among these genes, EP300, which encodes an acetyltransferase involved in transcriptional regulation, was identified as the most important hub gene overlapping the networks of both APs. Then, we explored the genetically predicted EP300 expression levels in a cohort of 226 patients with first-episode psychosis who were being treated with APs to further assess the association of this gene with metabolic alterations. The EP300 expression levels were significantly associated with increases in body weight, body mass index, total cholesterol levels, low-density lipoprotein cholesterol levels and triglyceride concentrations after 6 months of AP treatment. Taken together, our analysis identified EP300 as a key gene in AP-induced metabolic abnormalities, indicating that the dysregulation of EP300 function could be important in the development of these side effects. However, more studies are needed to disentangle the role of this gene in the mechanism of action of APs. |
format | Online Article Text |
id | pubmed-8414590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84145902021-09-04 Identification of EP300 as a Key Gene Involved in Antipsychotic-Induced Metabolic Dysregulation Based on Integrative Bioinformatics Analysis of Multi-Tissue Gene Expression Data Martínez-Pinteño, Albert Gassó, Patricia Prohens, Llucia Segura, Alex G. Parellada, Mara Saiz-Ruiz, Jerónimo Cuesta, Manuel J. Bernardo, Miguel Lafuente, Amalia Mas, Sergi Rodríguez, Natalia Front Pharmacol Pharmacology Antipsychotics (APs) are associated with weight gain and other metabolic abnormalities such as hyperglycemia, dyslipidemia and metabolic syndrome. This translational study aimed to uncover the underlying molecular mechanisms and identify the key genes involved in AP-induced metabolic effects. An integrative gene expression analysis was performed in four different mouse tissues (striatum, liver, pancreas and adipose) after risperidone or olanzapine treatment. The analytical approach combined the identification of the gene co-expression modules related to AP treatment, gene set enrichment analysis and protein-protein interaction network construction. We found several co-expression modules of genes involved in glucose and lipid homeostasis, hormone regulation and other processes related to metabolic impairment. Among these genes, EP300, which encodes an acetyltransferase involved in transcriptional regulation, was identified as the most important hub gene overlapping the networks of both APs. Then, we explored the genetically predicted EP300 expression levels in a cohort of 226 patients with first-episode psychosis who were being treated with APs to further assess the association of this gene with metabolic alterations. The EP300 expression levels were significantly associated with increases in body weight, body mass index, total cholesterol levels, low-density lipoprotein cholesterol levels and triglyceride concentrations after 6 months of AP treatment. Taken together, our analysis identified EP300 as a key gene in AP-induced metabolic abnormalities, indicating that the dysregulation of EP300 function could be important in the development of these side effects. However, more studies are needed to disentangle the role of this gene in the mechanism of action of APs. Frontiers Media S.A. 2021-08-13 /pmc/articles/PMC8414590/ /pubmed/34483940 http://dx.doi.org/10.3389/fphar.2021.729474 Text en Copyright © 2021 Martínez-Pinteño, Gassó, Prohens, Segura, Parellada, Saiz-Ruiz, Cuesta, Bernardo, Lafuente, Mas and Rodríguez. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Martínez-Pinteño, Albert Gassó, Patricia Prohens, Llucia Segura, Alex G. Parellada, Mara Saiz-Ruiz, Jerónimo Cuesta, Manuel J. Bernardo, Miguel Lafuente, Amalia Mas, Sergi Rodríguez, Natalia Identification of EP300 as a Key Gene Involved in Antipsychotic-Induced Metabolic Dysregulation Based on Integrative Bioinformatics Analysis of Multi-Tissue Gene Expression Data |
title | Identification of EP300 as a Key Gene Involved in Antipsychotic-Induced Metabolic Dysregulation Based on Integrative Bioinformatics Analysis of Multi-Tissue Gene Expression Data |
title_full | Identification of EP300 as a Key Gene Involved in Antipsychotic-Induced Metabolic Dysregulation Based on Integrative Bioinformatics Analysis of Multi-Tissue Gene Expression Data |
title_fullStr | Identification of EP300 as a Key Gene Involved in Antipsychotic-Induced Metabolic Dysregulation Based on Integrative Bioinformatics Analysis of Multi-Tissue Gene Expression Data |
title_full_unstemmed | Identification of EP300 as a Key Gene Involved in Antipsychotic-Induced Metabolic Dysregulation Based on Integrative Bioinformatics Analysis of Multi-Tissue Gene Expression Data |
title_short | Identification of EP300 as a Key Gene Involved in Antipsychotic-Induced Metabolic Dysregulation Based on Integrative Bioinformatics Analysis of Multi-Tissue Gene Expression Data |
title_sort | identification of ep300 as a key gene involved in antipsychotic-induced metabolic dysregulation based on integrative bioinformatics analysis of multi-tissue gene expression data |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414590/ https://www.ncbi.nlm.nih.gov/pubmed/34483940 http://dx.doi.org/10.3389/fphar.2021.729474 |
work_keys_str_mv | AT martinezpintenoalbert identificationofep300asakeygeneinvolvedinantipsychoticinducedmetabolicdysregulationbasedonintegrativebioinformaticsanalysisofmultitissuegeneexpressiondata AT gassopatricia identificationofep300asakeygeneinvolvedinantipsychoticinducedmetabolicdysregulationbasedonintegrativebioinformaticsanalysisofmultitissuegeneexpressiondata AT prohensllucia identificationofep300asakeygeneinvolvedinantipsychoticinducedmetabolicdysregulationbasedonintegrativebioinformaticsanalysisofmultitissuegeneexpressiondata AT seguraalexg identificationofep300asakeygeneinvolvedinantipsychoticinducedmetabolicdysregulationbasedonintegrativebioinformaticsanalysisofmultitissuegeneexpressiondata AT parelladamara identificationofep300asakeygeneinvolvedinantipsychoticinducedmetabolicdysregulationbasedonintegrativebioinformaticsanalysisofmultitissuegeneexpressiondata AT saizruizjeronimo identificationofep300asakeygeneinvolvedinantipsychoticinducedmetabolicdysregulationbasedonintegrativebioinformaticsanalysisofmultitissuegeneexpressiondata AT cuestamanuelj identificationofep300asakeygeneinvolvedinantipsychoticinducedmetabolicdysregulationbasedonintegrativebioinformaticsanalysisofmultitissuegeneexpressiondata AT bernardomiguel identificationofep300asakeygeneinvolvedinantipsychoticinducedmetabolicdysregulationbasedonintegrativebioinformaticsanalysisofmultitissuegeneexpressiondata AT lafuenteamalia identificationofep300asakeygeneinvolvedinantipsychoticinducedmetabolicdysregulationbasedonintegrativebioinformaticsanalysisofmultitissuegeneexpressiondata AT massergi identificationofep300asakeygeneinvolvedinantipsychoticinducedmetabolicdysregulationbasedonintegrativebioinformaticsanalysisofmultitissuegeneexpressiondata AT rodrigueznatalia identificationofep300asakeygeneinvolvedinantipsychoticinducedmetabolicdysregulationbasedonintegrativebioinformaticsanalysisofmultitissuegeneexpressiondata |