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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...

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Autores principales: 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
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
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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.
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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
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