Title of article :
Interaction Network Prediction and Analysis of Anorexia Nervosa
Author/Authors :
Rezaei-Tavirani, Majid Faculty of Medicine - Iran University of Medical Sciences, Tehran - Proteomics Research Center - Shahid Beheshti University of Medical Sciences, Tehran , Zamanian-Azodi, Mostafa Proteomics Research Center - Shahid Beheshti University of Medical Sciences, Tehran , Vafaee, Reza Proteomics Research Center - Shahid Beheshti University of Medical Sciences, Tehran
Abstract :
Anorexia Nervosa (AN) as a mental condition is a common eating disorder
among young women. We aimed to shed lights on molecular behavior of
this serious disorder in terms of protein interacting profile to provide further
insight about its complexity.
Materials & Methods
The AN related genes were extracted from STRING database and included
in interactome via Cytoscape software. The central nodes of the network
were enriched via gene ontology (GO) by ClueGO+CluePedia and the
action relationship between the nodes were determined by CluePedia.
Results
Six genes including LEP, INS, POMC, GCG, SST, and ALB were introduced
as hub-bottlenecks that among them LEP, INS, and POMC were the super
hub-bottlenecks based on further analysis. Action map analysis showed
prominent role of hubs relative to bottlenecks in the network. Regulation of
behavior, regulation of carbohydrate biosynthetic process, and regulation of
appetite are the top associated processes for the identified hub genes.
Conclusion
Topological analysis proposed the five hub-bottlenecks as the most central
genes in the network, these genes and their contributing biological terms
may suggest additional importance in AN pathogenesis and thereby possible
candidates for therapeutic usage. However, further studies are required to
justify these findings.
Keywords :
Anorexia nervosa , Eating disorder , Protein-protein interaction network analysis , Protein clustering , Gene ontology
Journal title :
Astroparticle Physics