Analysis of the Genetic Relationship between Atherosclerosis and Non-Alcoholic Fatty Liver Disease through Biological Interaction Networks

Author:

Andújar-Vera Francisco1234ORCID,Ferrer-Millán María1ORCID,García-Fontana Cristina125ORCID,García-Fontana Beatriz126ORCID,González-Salvatierra Sheila157ORCID,Sanabria-de la Torre Raquel18ORCID,Martínez-Heredia Luis1ORCID,Riquelme-Gallego Blanca19ORCID,Muñoz-Torres Manuel1257ORCID

Affiliation:

1. Instituto de Investigación Biosanitaria de Granada (ibs. GRANADA), 18014 Granada, Spain

2. CIBER on Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain

3. Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain

4. Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI Institute), 18014 Granada, Spain

5. Endocrinology and Nutrition Unit, University Hospital Clínico San Cecilio, 18016 Granada, Spain

6. Department of Cell Biology, University of Granada, 18016 Granada, Spain

7. Department of Medicine, University of Granada, 18016 Granada, Spain

8. Department of Biochemistry, Molecular Biology III and Immunology, University of Granada, 18071 Granada, Spain

9. Department of Preventive Medicine and Public Health, University of Granada, 18016 Granada, Spain

Abstract

Non-alcoholic fatty liver disease (NAFLD) seems to have some molecular links with atherosclerosis (ATH); however, the molecular pathways which connect both pathologies remain unexplored to date. The identification of common factors is of great interest to explore some therapeutic strategies to improve the outcomes for those affected patients. Differentially expressed genes (DEGs) for NAFLD and ATH were extracted from the GSE89632 and GSE100927 datasets, and common up- and downregulated DEGs were identified. Subsequently, a protein–protein interaction (PPI) network based on the common DEGs was performed. Functional modules were identified, and the hub genes were extracted. Then, a Gene Ontology (GO) and pathway analysis of common DEGs was performed. DEGs analysis in NAFLD and ATH showed 21 genes that were regulated similarly in both pathologies. The common DEGs with high centrality scores were ADAMTS1 and CEBPA which appeared to be down- and up-regulated in both disorders, respectively. For the analysis of functional modules, two modules were identified. The first one was oriented to post-translational protein modification, where ADAMTS1 and ADAMTS4 were identified, and the second one mainly related to the immune response, where CSF3 was identified. These factors could be key proteins with an important role in the NAFLD/ATH axis.

Funder

Instituto de Salud Carlos III

European Regional Development Fund

Operational Programme

postdoctoral Sara Borrell fellowship from the Instituto de Salud Carlos III

postdoctoral and predoctoral fellowships from Junta de Andalucía and Instituto de Salud Carlos III

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

Reference108 articles.

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