Analysis of the Genetic Relationship between Atherosclerosis and Non-Alcoholic Fatty Liver Disease through Biological Interaction Networks
Metadatos
Afficher la notice complèteAuteur
Andujar Vera, Francisco; Ferrer Millán, Maria; García Fontana, Cristina; García Fontana, Beatriz; González Salvatierra, Sheila; Sanabria de la Torre, Raquel; Martínez Heredia, Luis; Riquelme Gallego, Blanca; Muñoz Torres, Manuel EduardoEditorial
MDPI
Materia
Atherosclerosis Non-alcoholic fatty liver disease Protein-protein interaction networks
Date
2023-02-18Referencia bibliográfica
Andújar-Vera, F.; Ferrer-Millán, M.; García-Fontana, C.; García-Fontana, B.; González-Salvatierra, S.; Sanabria-de la Torre, R.; Martínez-Heredia, L.; Riquelme-Gallego, B.; Muñoz-Torres, M. Analysis of the Genetic Relationship between Atherosclerosis and Non-Alcoholic Fatty Liver Disease through Biological Interaction Networks. Int. J. Mol. Sci. 2023, 24, 4124. [https://doi.org/10.3390/ijms24044124]
Patrocinador
Instituto de Salud Carlos III, grant PI18-00803; European Regional Development Fund (FEDER) and by Junta de Andalucía, grant PI-0268-2019. M.F.-M; Operational Programme for Youth Employment of the Junta de Andalucía under ref: POEJ_04/2022-12. CG-F; postdoctoral Sara Borrell fellowship from the Instituto de Salud Carlos III, with co-funding by FEDER (CD20/00022); B.R.-G. and S.G.S. are funded by postdoctoral and predoctoral fellowships (RH-0069-2021 and FI19/00118) from Junta de Andalucía and Instituto de Salud Carlos III, respectivelyRésumé
Non-alcoholic fatty liver disease (NAFLD) seems to have some molecular links with
atherosclerosis (ATH); however, the molecular pathways which connect both pathologies remain un explored 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.