ArticleBMC genomic data2023
Identification of novel biomarkers linking depressive disorder and Alzheimer's disease based on an integrative bioinformatics analysis.
Article in BMC genomic data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- The neuroprotective potential of diosgenin: an integrated in silico, in vitro, and in vivo approach in colchicine-induced Alzheimer's model.Journal of computer-aided molecular design · 2026Article
- Multi-platform integration of brain and CSF proteomes reveals biomarker panels for Alzheimer's disease.Briefings in bioinformatics · 2026Article
- Abnormal O-glycan sialylation in the mPFC contributes to depressive-like behaviors in male mice.Science advances · 2025Article
- The Role of miRNAs in the Differential Diagnosis of Alzheimer's Disease and Major Depression: A Bioinformatics-Based Approach.International journal of molecular sciences · 2025Article
- Exploring the diagnostic potential of IL1R1 in depression and its association with lipid metabolism.Frontiers in pharmacology · 2025Article
- Alzheimer's Disease Mortality Rate: Correlation with Socio-Economic and Environmental Factors.Toxics · 2024Article
- A review and analysis of key biomarkers in Alzheimer's disease.Frontiers in neuroscience · 2024Review
Corrections and comments
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Authors and funding
5 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPrevious 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.
methodsWe 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.
resultsA 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.
conclusionBoth 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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