Your browser doesn't support javascript.
loading
Analysis of the Genetic Relationship between Atherosclerosis and Non-Alcoholic Fatty Liver Disease through Biological Interaction Networks.
Andújar-Vera, Francisco; Ferrer-Millán, María; García-Fontana, Cristina; García-Fontana, Beatriz; González-Salvatierra, Sheila; Sanabria-de la Torre, Raquel; Martínez-Heredia, Luis; Riquelme-Gallego, Blanca; Muñoz-Torres, Manuel.
Affiliation
  • Andújar-Vera F; Instituto de Investigación Biosanitaria de Granada (ibs. GRANADA), 18014 Granada, Spain.
  • Ferrer-Millán M; CIBER on Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain.
  • García-Fontana C; Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain.
  • García-Fontana B; Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI Institute), 18014 Granada, Spain.
  • González-Salvatierra S; Instituto de Investigación Biosanitaria de Granada (ibs. GRANADA), 18014 Granada, Spain.
  • Sanabria-de la Torre R; Instituto de Investigación Biosanitaria de Granada (ibs. GRANADA), 18014 Granada, Spain.
  • Martínez-Heredia L; CIBER on Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, 28029 Madrid, Spain.
  • Riquelme-Gallego B; Endocrinology and Nutrition Unit, University Hospital Clínico San Cecilio, 18016 Granada, Spain.
  • Muñoz-Torres M; Instituto de Investigación Biosanitaria de Granada (ibs. GRANADA), 18014 Granada, Spain.
Int J Mol Sci ; 24(4)2023 Feb 18.
Article in En | MEDLINE | ID: mdl-36835545
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.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atherosclerosis / Non-alcoholic Fatty Liver Disease Type of study: Prognostic_studies Limits: Humans Language: En Journal: Int J Mol Sci Year: 2023 Document type: Article Affiliation country: Spain

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Atherosclerosis / Non-alcoholic Fatty Liver Disease Type of study: Prognostic_studies Limits: Humans Language: En Journal: Int J Mol Sci Year: 2023 Document type: Article Affiliation country: Spain