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Identification of novel biomarkers linking depressive disorder and Alzheimer’s disease based on an integrative bioinformatics analysis

BACKGROUND: Previous reports revealed that a history of major depressive disorder (MDD) increased the risk of Alzheimer’s disease (AD). The immune disorder is associated with MDD and AD pathophysiology. We aimed to identify differentially expressed immune-related genes (DEIRGs) that are involved in...

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Autores principales: Song, Jin, Ma, Zilong, Zhang, Huishi, Liang, Ting, Zhang, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105463/
https://www.ncbi.nlm.nih.gov/pubmed/37061663
http://dx.doi.org/10.1186/s12863-023-01120-x
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author Song, Jin
Ma, Zilong
Zhang, Huishi
Liang, Ting
Zhang, Jun
author_facet Song, Jin
Ma, Zilong
Zhang, Huishi
Liang, Ting
Zhang, Jun
author_sort Song, Jin
collection PubMed
description BACKGROUND: Previous reports revealed that a history of major depressive disorder (MDD) increased the risk of Alzheimer’s disease (AD). The immune disorder is associated with MDD and AD pathophysiology. We aimed to identify differentially expressed immune-related genes (DEIRGs) that are involved in the pathogenesis of MDD and AD. METHODS: We downloaded mRNA expression profiles (GSE76826 and GSE5281) from the Gene Expression Omnibus (GEO) database. The R software was used to identify DEIRGs for the two diseases separately. Functional enrichment analysis and PPI network of DEIRGs were performed. Finally, the relationship between shared DEIRGs and immune infiltrates of AD and MDD were analyzed, respectively. RESULTS: A total of 121 DEIRGs linking AD and MDD were identified. These genes were significantly enriched in immune-related pathways, such as the JAK-STAT signaling pathway, regulation of chemotaxis, chemotaxis, cytokine-cytokine receptor interaction, and primary immunodeficiency. Furthermore, three shared DEIRGs (IL1R1, CHGB, and NRG1) were identified. Correlation analysis between DEIRGs and immune cells revealed that IL1R1 and NRG1 had a negative or positive correlation with some immune cells both in AD and MDD. CONCLUSION: Both DEIRGs and immune cell infiltrations play a vital role in the pathogenesis of AD and MDD. Our findings indicated that there are common genes and biological processes between MDD and AD, which provides a theoretical basis for the study of the comorbidity of MDD and AD.
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spelling pubmed-101054632023-04-16 Identification of novel biomarkers linking depressive disorder and Alzheimer’s disease based on an integrative bioinformatics analysis Song, Jin Ma, Zilong Zhang, Huishi Liang, Ting Zhang, Jun BMC Genom Data Research BACKGROUND: Previous reports revealed that a history of major depressive disorder (MDD) increased the risk of Alzheimer’s disease (AD). The immune disorder is associated with MDD and AD pathophysiology. We aimed to identify differentially expressed immune-related genes (DEIRGs) that are involved in the pathogenesis of MDD and AD. METHODS: We downloaded mRNA expression profiles (GSE76826 and GSE5281) from the Gene Expression Omnibus (GEO) database. The R software was used to identify DEIRGs for the two diseases separately. Functional enrichment analysis and PPI network of DEIRGs were performed. Finally, the relationship between shared DEIRGs and immune infiltrates of AD and MDD were analyzed, respectively. RESULTS: A total of 121 DEIRGs linking AD and MDD were identified. These genes were significantly enriched in immune-related pathways, such as the JAK-STAT signaling pathway, regulation of chemotaxis, chemotaxis, cytokine-cytokine receptor interaction, and primary immunodeficiency. Furthermore, three shared DEIRGs (IL1R1, CHGB, and NRG1) were identified. Correlation analysis between DEIRGs and immune cells revealed that IL1R1 and NRG1 had a negative or positive correlation with some immune cells both in AD and MDD. CONCLUSION: Both DEIRGs and immune cell infiltrations play a vital role in the pathogenesis of AD and MDD. Our findings indicated that there are common genes and biological processes between MDD and AD, which provides a theoretical basis for the study of the comorbidity of MDD and AD. BioMed Central 2023-04-15 /pmc/articles/PMC10105463/ /pubmed/37061663 http://dx.doi.org/10.1186/s12863-023-01120-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Song, Jin
Ma, Zilong
Zhang, Huishi
Liang, Ting
Zhang, Jun
Identification of novel biomarkers linking depressive disorder and Alzheimer’s disease based on an integrative bioinformatics analysis
title Identification of novel biomarkers linking depressive disorder and Alzheimer’s disease based on an integrative bioinformatics analysis
title_full Identification of novel biomarkers linking depressive disorder and Alzheimer’s disease based on an integrative bioinformatics analysis
title_fullStr Identification of novel biomarkers linking depressive disorder and Alzheimer’s disease based on an integrative bioinformatics analysis
title_full_unstemmed Identification of novel biomarkers linking depressive disorder and Alzheimer’s disease based on an integrative bioinformatics analysis
title_short Identification of novel biomarkers linking depressive disorder and Alzheimer’s disease based on an integrative bioinformatics analysis
title_sort identification of novel biomarkers linking depressive disorder and alzheimer’s disease based on an integrative bioinformatics analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105463/
https://www.ncbi.nlm.nih.gov/pubmed/37061663
http://dx.doi.org/10.1186/s12863-023-01120-x
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