Cargando…

Identification of Key Modules and Genes Associated with Major Depressive Disorder in Adolescents

Major depressive disorder (MDD) is a leading cause of disability worldwide. Adolescence is a crucial period for the occurrence and development of depression. There are essential distinctions between adolescent and adult depression patients, and the etiology of depressive disorder is unclear. The int...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Bao, Fan, Qingyue, Liu, Jintong, Yin, Aihua, Wang, Pingping, Zhang, Wenxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949287/
https://www.ncbi.nlm.nih.gov/pubmed/35328018
http://dx.doi.org/10.3390/genes13030464
_version_ 1784674859216797696
author Zhao, Bao
Fan, Qingyue
Liu, Jintong
Yin, Aihua
Wang, Pingping
Zhang, Wenxin
author_facet Zhao, Bao
Fan, Qingyue
Liu, Jintong
Yin, Aihua
Wang, Pingping
Zhang, Wenxin
author_sort Zhao, Bao
collection PubMed
description Major depressive disorder (MDD) is a leading cause of disability worldwide. Adolescence is a crucial period for the occurrence and development of depression. There are essential distinctions between adolescent and adult depression patients, and the etiology of depressive disorder is unclear. The interactions of multiple genes in a co-expression network are likely to be involved in the physiopathology of MDD. In the present study, RNA-Seq data of mRNA were acquired from the peripheral blood of MDD in adolescents and healthy control (HC) subjects. Co-expression modules were constructed via weighted gene co-expression network analysis (WGCNA) to investigate the relationships between the underlying modules and MDD in adolescents. In the combined MDD and HC groups, the dynamic tree cutting method was utilized to assign genes to modules through hierarchical clustering. Moreover, functional enrichment analysis was conducted on those co-expression genes from interested modules. The results showed that eight modules were constructed by WGCNA. The blue module was significantly associated with MDD after multiple comparison adjustment. Several Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways associated with stress and inflammation were identified in this module, including histone methylation, apoptosis, NF-kappa β signaling pathway, and TNF signaling pathway. Five genes related to inflammation, immunity, and the nervous system were identified as hub genes: CNTNAP3, IL1RAP, MEGF9, UBE2W, and UBE2D1. All of these findings supported that MDD was associated with stress, inflammation, and immune responses, helping us to obtain a better understanding of the internal molecular mechanism and to explore biomarkers for the diagnosis or treatment of depression in adolescents.
format Online
Article
Text
id pubmed-8949287
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-89492872022-03-26 Identification of Key Modules and Genes Associated with Major Depressive Disorder in Adolescents Zhao, Bao Fan, Qingyue Liu, Jintong Yin, Aihua Wang, Pingping Zhang, Wenxin Genes (Basel) Article Major depressive disorder (MDD) is a leading cause of disability worldwide. Adolescence is a crucial period for the occurrence and development of depression. There are essential distinctions between adolescent and adult depression patients, and the etiology of depressive disorder is unclear. The interactions of multiple genes in a co-expression network are likely to be involved in the physiopathology of MDD. In the present study, RNA-Seq data of mRNA were acquired from the peripheral blood of MDD in adolescents and healthy control (HC) subjects. Co-expression modules were constructed via weighted gene co-expression network analysis (WGCNA) to investigate the relationships between the underlying modules and MDD in adolescents. In the combined MDD and HC groups, the dynamic tree cutting method was utilized to assign genes to modules through hierarchical clustering. Moreover, functional enrichment analysis was conducted on those co-expression genes from interested modules. The results showed that eight modules were constructed by WGCNA. The blue module was significantly associated with MDD after multiple comparison adjustment. Several Gene Ontology (GO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways associated with stress and inflammation were identified in this module, including histone methylation, apoptosis, NF-kappa β signaling pathway, and TNF signaling pathway. Five genes related to inflammation, immunity, and the nervous system were identified as hub genes: CNTNAP3, IL1RAP, MEGF9, UBE2W, and UBE2D1. All of these findings supported that MDD was associated with stress, inflammation, and immune responses, helping us to obtain a better understanding of the internal molecular mechanism and to explore biomarkers for the diagnosis or treatment of depression in adolescents. MDPI 2022-03-05 /pmc/articles/PMC8949287/ /pubmed/35328018 http://dx.doi.org/10.3390/genes13030464 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
Zhao, Bao
Fan, Qingyue
Liu, Jintong
Yin, Aihua
Wang, Pingping
Zhang, Wenxin
Identification of Key Modules and Genes Associated with Major Depressive Disorder in Adolescents
title Identification of Key Modules and Genes Associated with Major Depressive Disorder in Adolescents
title_full Identification of Key Modules and Genes Associated with Major Depressive Disorder in Adolescents
title_fullStr Identification of Key Modules and Genes Associated with Major Depressive Disorder in Adolescents
title_full_unstemmed Identification of Key Modules and Genes Associated with Major Depressive Disorder in Adolescents
title_short Identification of Key Modules and Genes Associated with Major Depressive Disorder in Adolescents
title_sort identification of key modules and genes associated with major depressive disorder in adolescents
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8949287/
https://www.ncbi.nlm.nih.gov/pubmed/35328018
http://dx.doi.org/10.3390/genes13030464
work_keys_str_mv AT zhaobao identificationofkeymodulesandgenesassociatedwithmajordepressivedisorderinadolescents
AT fanqingyue identificationofkeymodulesandgenesassociatedwithmajordepressivedisorderinadolescents
AT liujintong identificationofkeymodulesandgenesassociatedwithmajordepressivedisorderinadolescents
AT yinaihua identificationofkeymodulesandgenesassociatedwithmajordepressivedisorderinadolescents
AT wangpingping identificationofkeymodulesandgenesassociatedwithmajordepressivedisorderinadolescents
AT zhangwenxin identificationofkeymodulesandgenesassociatedwithmajordepressivedisorderinadolescents