Integrated analysis of transcriptional changes in major depressive disorder: Insights from blood and anterior cingulate cortex

Bibliographic Details
Title: Integrated analysis of transcriptional changes in major depressive disorder: Insights from blood and anterior cingulate cortex
Authors: Xiaogang Zhong, Xiangyu Chen, Yiyun Liu, Siwen Gui, Juncai Pu, Dongfang Wang, Wei Tao, Yue Chen, Xiang Chen, Weiyi Chen, Xiaopeng Chen, Renjie Qiao, Xiangkun Tao, Zhuocan Li, Peng Xie
Source: Heliyon, Vol 10, Iss 8, Pp e28960- (2024)
Publisher Information: Elsevier, 2024.
Publication Year: 2024
Collection: LCC:Science (General)
LCC:Social sciences (General)
Subject Terms: Major depressive disorder, Blood, Anterior cingulate cortex, Biomarker, Association, Science (General), Q1-390, Social sciences (General), H1-99
More Details: Background: Major depressive disorder (MDD) was involved in widely transcriptional changes in central and peripheral tissues. While, previous studies focused on single tissues, making it difficult to represent systemic molecular changes throughout the body. Thus, there is an urgent need to explore the central and peripheral biomarkers with intrinsic correlation. Methods: We systematically retrieved gene expression profiles of blood and anterior cingulate cortex (ACC). 3 blood datatsets (84 MDD and 88 controls) and 6 ACC datasets (100 MDD and 100 controls) were obtained. Differential expression analysis, RobustRankAggreg (RRA) analysis, functional enrichment analysis, immune associated analysis and protein-protein interaction networks (PPI) were integrated. Furthermore, the key genes were validated in an independent ACC dataset (12 MDD and 15 controls) and a cohort with 120 MDD and 117 controls. Results: Differential expression analysis identified 2211 and 2021 differential expressed genes (DEGs) in blood and ACC, respectively. RRA identified 45 and 25 robust DEGs in blood and ACC based on DEGs, and all of them were closely associated with immune cells. Functional enrichment results showed both the robust DEGs in blood and ACC were enriched in humoral immune response. Furthermore, PPI identified 8 hub DEGs (CD79A, CD79B, CD19, MS4A1, PLP1, CLDN11, MOG, MAG) in blood and ACC. Independent ACC dataset showed the area under the curve (AUC) based on these hub DEGs was 0.77. Meanwhile, these hub DEGs were validated in the serum of MDD patients, and also showed a promising diagnostic power. Conclusions: The biomarker panel based on hub DEGs yield a promising diagnostic efficacy, and all of these hub DEGs were strongly correlated with immunity. Humoral immune response may be the key link between the brain and blood in MDD, and our results may provide further understanding for MDD.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2405-8440
Relation: http://www.sciencedirect.com/science/article/pii/S2405844024049910; https://doaj.org/toc/2405-8440
DOI: 10.1016/j.heliyon.2024.e28960
Access URL: https://doaj.org/article/e927be5154004bde83638176af41fc12
Accession Number: edsdoj.927be5154004bde83638176af41fc12
Database: Directory of Open Access Journals
More Details
ISSN:24058440
DOI:10.1016/j.heliyon.2024.e28960
Published in:Heliyon
Language:English