ArticleJournal of Alzheimer's disease : JAD2023
Exploring Shared Biomarkers of Myocardial Infarction and Alzheimer's Disease via Single-Cell/Nucleus Sequencing and Bioinformatics Analysis.
Article in Journal of Alzheimer's disease : JAD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Cardiovascular Disease Subtypes and Alzheimer's Disease: Phenotypic and Genetic Associations in the UK Biobank and All of Us Research Program.Journal of the American Heart Association · 2026Article
- RGS1 induces nasal epithelial barrier dysfunction in allergic rhinitis by modulating NF-κB/AQP5 axis.Cytotechnology · 2025Article
- Phenotypic and Genetic Associations Between Cardiovascular Disease Subtypes and Alzheimer's Disease.medRxiv : the preprint server for health sciences · 2025Article
- Integrating Bulk and Single-Cell Transcriptomic Data to Identify Ferroptosis-Associated Inflammatory Gene in Alzheimer's Disease.Journal of inflammation research · 2025Article
- Identification of Plasma Cell Subsets and Molecular Markers of Alzheimer's Disease Based on Single-Cell Weighted Gene Co-Expression Network Analysis, Mendelian Randomization Analysis and Clinical Validation.International journal of general medicine · 2025Article
- The heart-brain axis: unraveling the interconnections between cardiovascular and Alzheimer's diseases.Frontiers in cardiovascular medicine · 2025Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatients are at increased risk of dementia, including Alzheimer's disease (AD), after myocardial infarction (MI), but the biological link between MI and AD is unclear.
objectiveTo understand the association between the pathogenesis of MI and AD and identify common biomarkers of both diseases.
methodsUsing public databases, we identified common biomarkers of MI and AD. Least absolute shrinkage and selection operator (LASSO) regression and protein-protein interaction (PPI) network were performed to further screen hub biomarkers. Functional enrichment analyses were performed on the hub biomarkers. Single-cell/nucleus analysis was utilized to further analyze the hub biomarkers at the cellular level in carotid atherosclerosis and AD datasets. Motif enrichment analysis was used to screen key transcription factors.
results26 common differentially expressed genes were screened between MI and AD. Function enrichment analyses showed that these differentially expressed genes were mainly associated with inflammatory pathways. A key gene, Regulator of G-protein Signaling 1 (RGS1), was obtained by LASSO regression and PPI network. RGS1 was confirmed to mainly express in macrophages and microglia according to single-cell/nucleus analysis. The difference in expression of RGS1 in macrophages and microglia between disease groups and controls was statistically significant (p < 0.0001). The expression of RGS1 in the disease groups was upregulated with the differentiation of macrophages and microglia. RelA was a key transcription factor regulating RGS1.
conclusionMacrophages and microglia are involved in the inflammatory response of MI and AD. RGS1 may be a key biomarker in this process.
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