Title of article :
Cholesterol Metabolism Pathway, the Main Target of Coffee
Author/Authors :
Rezaei-Tavirani ، Mostafa Proteomics Research Center, Faculty of Paramedical Sciences - Shahid Beheshti University of Medical Sciences , Razzaghi ، Zahra Laser Application in Medical Sciences Research Center, Critical Care Quality Improvement Research Center, Faculty of Paramedical Sciences - Shahid Beheshti University of Medical Sciences , Arjmand ، Babak Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute - Tehran University of Medical Sciences , Vafaee ، Reza Critical Care Quality Improvement Research Center, Faculty of Paramedical Sciences - Shahid Beheshti University of Medical Sciences
From page :
39
To page :
47
Abstract :
Background and objectives: Coffee as a common drink for many people has been evaluated in the preset study due to its relationship with cancer risk or prevention, regulation of cholesterol level, and anti-oxidant properties. The dysregulated genes in liver of high-fat dieted mice which were treated with coffee were evaluated via network analysis to explore molecular mechanism of the event. Methods: Data were downloaded from gene expression omnibus (GEO) and the significant differentially expressed genes (DEGs) were analyzed via protein-protein interaction (PPI) network analysis by Cytoscape V.3.7.2. The Selected DEGs were enriched via gene ontology by ClueGO. Results of PPI network analysis and gene ontology enrichment were interpreted together to find the critical genes and pathways. Results: Hmgcr, Hmgcs1, Msmo1, Nsdhl, Lss, Fdps, Idi1, Mvd, Ppara, and Hsp90aa1 were identified as the central targeted genes while “cholesterol metabolism pathway” was introduced as the main affected pathway. Conclusion: Final analysis led to determine Hmgcr, Hmgcs1, Msmo1, Nsdhl, Lss, Fdps, Idi1, and Mvd as key dysregulated genes which are related to the most biological terms of “cholesterol metabolism pathway”.
Keywords :
Cholesterol , Coffee , Gene expression , Gene ontology , Network analysis
Journal title :
Research Journal of Pharmacognosy
Journal title :
Research Journal of Pharmacognosy
Record number :
2745186
Link To Document :
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