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Exploring Shared Biomarkers of Myocardial Infarction and Alzheimer’s Disease via Single-Cell/Nucleus Sequencing and Bioinformatics Analysis

BACKGROUND: Patients 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. OBJECTIVE: To understand the association between the pathogenesis of MI and AD and identify common biomarkers of both di...

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Autores principales: Xue, Weiqi, He, Weifeng, Yan, Mengyuan, Zhao, Huanyi, Pi, Jianbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657707/
https://www.ncbi.nlm.nih.gov/pubmed/37840493
http://dx.doi.org/10.3233/JAD-230559
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author Xue, Weiqi
He, Weifeng
Yan, Mengyuan
Zhao, Huanyi
Pi, Jianbin
author_facet Xue, Weiqi
He, Weifeng
Yan, Mengyuan
Zhao, Huanyi
Pi, Jianbin
author_sort Xue, Weiqi
collection PubMed
description BACKGROUND: Patients 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. OBJECTIVE: To understand the association between the pathogenesis of MI and AD and identify common biomarkers of both diseases. METHODS: Using 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. RESULTS: 26 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. CONCLUSION: Macrophages 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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spelling pubmed-106577072023-11-19 Exploring Shared Biomarkers of Myocardial Infarction and Alzheimer’s Disease via Single-Cell/Nucleus Sequencing and Bioinformatics Analysis Xue, Weiqi He, Weifeng Yan, Mengyuan Zhao, Huanyi Pi, Jianbin J Alzheimers Dis Research Article BACKGROUND: Patients 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. OBJECTIVE: To understand the association between the pathogenesis of MI and AD and identify common biomarkers of both diseases. METHODS: Using 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. RESULTS: 26 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. CONCLUSION: Macrophages and microglia are involved in the inflammatory response of MI and AD. RGS1 may be a key biomarker in this process. IOS Press 2023-11-07 /pmc/articles/PMC10657707/ /pubmed/37840493 http://dx.doi.org/10.3233/JAD-230559 Text en © 2023 – The authors. Published by IOS Press https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xue, Weiqi
He, Weifeng
Yan, Mengyuan
Zhao, Huanyi
Pi, Jianbin
Exploring Shared Biomarkers of Myocardial Infarction and Alzheimer’s Disease via Single-Cell/Nucleus Sequencing and Bioinformatics Analysis
title Exploring Shared Biomarkers of Myocardial Infarction and Alzheimer’s Disease via Single-Cell/Nucleus Sequencing and Bioinformatics Analysis
title_full Exploring Shared Biomarkers of Myocardial Infarction and Alzheimer’s Disease via Single-Cell/Nucleus Sequencing and Bioinformatics Analysis
title_fullStr Exploring Shared Biomarkers of Myocardial Infarction and Alzheimer’s Disease via Single-Cell/Nucleus Sequencing and Bioinformatics Analysis
title_full_unstemmed Exploring Shared Biomarkers of Myocardial Infarction and Alzheimer’s Disease via Single-Cell/Nucleus Sequencing and Bioinformatics Analysis
title_short Exploring Shared Biomarkers of Myocardial Infarction and Alzheimer’s Disease via Single-Cell/Nucleus Sequencing and Bioinformatics Analysis
title_sort exploring shared biomarkers of myocardial infarction and alzheimer’s disease via single-cell/nucleus sequencing and bioinformatics analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657707/
https://www.ncbi.nlm.nih.gov/pubmed/37840493
http://dx.doi.org/10.3233/JAD-230559
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