Cargando…

Meta-analysis of expression and methylation signatures indicates a stress-related epigenetic mechanism in multiple neuropsychiatric disorders

Similar environmental risk factors have been implicated in different neuropsychiatric disorders (including major psychiatric and neurodegenerative diseases), indicating the existence of common epigenetic mechanisms underlying the pathogenesis shared by different illnesses. To investigate such common...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhu, Kaiyi, Ou Yang, Tai-Hsien, Dorie, Vincent, Zheng, Tian, Anastassiou, Dimitris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6342918/
https://www.ncbi.nlm.nih.gov/pubmed/30670680
http://dx.doi.org/10.1038/s41398-018-0358-5
_version_ 1783389179593359360
author Zhu, Kaiyi
Ou Yang, Tai-Hsien
Dorie, Vincent
Zheng, Tian
Anastassiou, Dimitris
author_facet Zhu, Kaiyi
Ou Yang, Tai-Hsien
Dorie, Vincent
Zheng, Tian
Anastassiou, Dimitris
author_sort Zhu, Kaiyi
collection PubMed
description Similar environmental risk factors have been implicated in different neuropsychiatric disorders (including major psychiatric and neurodegenerative diseases), indicating the existence of common epigenetic mechanisms underlying the pathogenesis shared by different illnesses. To investigate such commonality, we applied an unsupervised computational approach identifying several consensus co-expression and co-methylation signatures from a data cohort of postmortem prefrontal cortex (PFC) samples from individuals with six different neuropsychiatric disorders—schizophrenia, bipolar disorder, major depression, alcoholism, Alzheimer’s and Parkinson’s—as well as healthy controls. Among our results, we identified a pair of strongly interrelated co-expression and co-methylation (E–M) signatures showing consistent and significant disease association in multiple types of disorders. This E–M signature was enriched for interneuron markers, and we further demonstrated that it is unlikely for this enrichment to be due to varying subpopulation abundance of normal interneurons across samples. Moreover, gene set enrichment analysis revealed overrepresentation of stress-related biological processes in this E–M signature. Our integrative analysis of expression and methylation profiles, therefore, suggests a stress-related epigenetic mechanism in the brain, which could be associated with the pathogenesis of multiple neuropsychiatric diseases.
format Online
Article
Text
id pubmed-6342918
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-63429182019-01-23 Meta-analysis of expression and methylation signatures indicates a stress-related epigenetic mechanism in multiple neuropsychiatric disorders Zhu, Kaiyi Ou Yang, Tai-Hsien Dorie, Vincent Zheng, Tian Anastassiou, Dimitris Transl Psychiatry Article Similar environmental risk factors have been implicated in different neuropsychiatric disorders (including major psychiatric and neurodegenerative diseases), indicating the existence of common epigenetic mechanisms underlying the pathogenesis shared by different illnesses. To investigate such commonality, we applied an unsupervised computational approach identifying several consensus co-expression and co-methylation signatures from a data cohort of postmortem prefrontal cortex (PFC) samples from individuals with six different neuropsychiatric disorders—schizophrenia, bipolar disorder, major depression, alcoholism, Alzheimer’s and Parkinson’s—as well as healthy controls. Among our results, we identified a pair of strongly interrelated co-expression and co-methylation (E–M) signatures showing consistent and significant disease association in multiple types of disorders. This E–M signature was enriched for interneuron markers, and we further demonstrated that it is unlikely for this enrichment to be due to varying subpopulation abundance of normal interneurons across samples. Moreover, gene set enrichment analysis revealed overrepresentation of stress-related biological processes in this E–M signature. Our integrative analysis of expression and methylation profiles, therefore, suggests a stress-related epigenetic mechanism in the brain, which could be associated with the pathogenesis of multiple neuropsychiatric diseases. Nature Publishing Group UK 2019-01-22 /pmc/articles/PMC6342918/ /pubmed/30670680 http://dx.doi.org/10.1038/s41398-018-0358-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhu, Kaiyi
Ou Yang, Tai-Hsien
Dorie, Vincent
Zheng, Tian
Anastassiou, Dimitris
Meta-analysis of expression and methylation signatures indicates a stress-related epigenetic mechanism in multiple neuropsychiatric disorders
title Meta-analysis of expression and methylation signatures indicates a stress-related epigenetic mechanism in multiple neuropsychiatric disorders
title_full Meta-analysis of expression and methylation signatures indicates a stress-related epigenetic mechanism in multiple neuropsychiatric disorders
title_fullStr Meta-analysis of expression and methylation signatures indicates a stress-related epigenetic mechanism in multiple neuropsychiatric disorders
title_full_unstemmed Meta-analysis of expression and methylation signatures indicates a stress-related epigenetic mechanism in multiple neuropsychiatric disorders
title_short Meta-analysis of expression and methylation signatures indicates a stress-related epigenetic mechanism in multiple neuropsychiatric disorders
title_sort meta-analysis of expression and methylation signatures indicates a stress-related epigenetic mechanism in multiple neuropsychiatric disorders
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6342918/
https://www.ncbi.nlm.nih.gov/pubmed/30670680
http://dx.doi.org/10.1038/s41398-018-0358-5
work_keys_str_mv AT zhukaiyi metaanalysisofexpressionandmethylationsignaturesindicatesastressrelatedepigeneticmechanisminmultipleneuropsychiatricdisorders
AT ouyangtaihsien metaanalysisofexpressionandmethylationsignaturesindicatesastressrelatedepigeneticmechanisminmultipleneuropsychiatricdisorders
AT dorievincent metaanalysisofexpressionandmethylationsignaturesindicatesastressrelatedepigeneticmechanisminmultipleneuropsychiatricdisorders
AT zhengtian metaanalysisofexpressionandmethylationsignaturesindicatesastressrelatedepigeneticmechanisminmultipleneuropsychiatricdisorders
AT anastassioudimitris metaanalysisofexpressionandmethylationsignaturesindicatesastressrelatedepigeneticmechanisminmultipleneuropsychiatricdisorders