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Article

Identification of Potential Targets Linked to the Cardiovascular/Alzheimer’s Axis through Bioinformatics Approaches

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Instituto de Investigación Biosanitaria de Granada, 18012 Granada, Spain
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Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain
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Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI Institute), 18014 Granada, Spain
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Endocrinology and Nutrition Unit, University Hospital Clínico San Cecilio of Granada, 18016 Granada, Spain
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CIBERFES, Instituto de Salud Carlos III, 28029 Madrid, Spain
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Department of Medicine, University of Granada, 18016 Granada, Spain
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Fundación para la Investigación Biosanitaria de Andalucía Oriental-Alejandro Otero (FIBAO), 18012 Granada, Spain
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Authors to whom correspondence should be addressed.
Academic Editors: Manfredi Tesauro and Annalisa Noce
Biomedicines 2022, 10(2), 389; https://doi.org/10.3390/biomedicines10020389
Received: 7 January 2022 / Revised: 31 January 2022 / Accepted: 4 February 2022 / Published: 6 February 2022
(This article belongs to the Special Issue Vascular Function in Chronic Non-communicable Diseases)
The identification of common targets in Alzheimer’s disease (AD) and cardiovascular disease (CVD) in recent years makes the study of the CVD/AD axis a research topic of great interest. Besides aging, other links between CVD and AD have been described, suggesting the existence of common molecular mechanisms. Our study aimed to identify common targets in the CVD/AD axis. For this purpose, genomic data from calcified and healthy femoral artery samples were used to identify differentially expressed genes (DEGs), which were used to generate a protein–protein interaction network, where a module related to AD was identified. This module was enriched with the functionally closest proteins and analyzed using different centrality algorithms to determine the main targets in the CVD/AD axis. Validation was performed by proteomic and data mining analyses. The proteins identified with an important role in both pathologies were apolipoprotein E and haptoglobin as DEGs, with a fold change about +2 and −2, in calcified femoral artery vs healthy artery, respectively, and clusterin and alpha-2-macroglobulin as close interactors that matched in our proteomic analysis. However, further studies are needed to elucidate the specific role of these proteins, and to evaluate its function as biomarkers or therapeutic targets. View Full-Text
Keywords: Alzheimer’s disease; bioinformatics; cardiovascular disease; differentially expressed genes; hubs; protein–protein interaction network Alzheimer’s disease; bioinformatics; cardiovascular disease; differentially expressed genes; hubs; protein–protein interaction network
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MDPI and ACS Style

Andújar-Vera, F.; García-Fontana, C.; Sanabria-de la Torre, R.; González-Salvatierra, S.; Martínez-Heredia, L.; Iglesias-Baena, I.; Muñoz-Torres, M.; García-Fontana, B. Identification of Potential Targets Linked to the Cardiovascular/Alzheimer’s Axis through Bioinformatics Approaches. Biomedicines 2022, 10, 389. https://doi.org/10.3390/biomedicines10020389

AMA Style

Andújar-Vera F, García-Fontana C, Sanabria-de la Torre R, González-Salvatierra S, Martínez-Heredia L, Iglesias-Baena I, Muñoz-Torres M, García-Fontana B. Identification of Potential Targets Linked to the Cardiovascular/Alzheimer’s Axis through Bioinformatics Approaches. Biomedicines. 2022; 10(2):389. https://doi.org/10.3390/biomedicines10020389

Chicago/Turabian Style

Andújar-Vera, Francisco, Cristina García-Fontana, Raquel Sanabria-de la Torre, Sheila González-Salvatierra, Luis Martínez-Heredia, Iván Iglesias-Baena, Manuel Muñoz-Torres, and Beatriz García-Fontana. 2022. "Identification of Potential Targets Linked to the Cardiovascular/Alzheimer’s Axis through Bioinformatics Approaches" Biomedicines 10, no. 2: 389. https://doi.org/10.3390/biomedicines10020389

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