This site is under development. For the current active site, go to bcbhub.csic.es.

Orcid Publication

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

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

Apa Reference 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. (2023). Analysis of the Genetic Relationship between Atherosclerosis and Non-Alcoholic Fatty Liver Disease through Biological Interaction Networks. International Journal of Molecular Sciences, 24(4), 4124. 10.3390/ijms24044124
Doi 10.3390/ijms24044124
Publication Date 18 Feb 2023
Publication Type Article
Researcher Francisco Andújar Vera
Ontology Transcriptomics, Functional annotation, Function prediction, Expression Profiling, Pathway analysis, Biological Ontologies, Network Biology, Protein-Protein Interactions
Research Groups
Tools

Suggest changes

Publications are synced automatically from ORCID, so they can't be edited here directly. Spotted something wrong? Let us know below and we'll take care of it.

← Return to Home