Interaction network prediction and analysis of Anorexia Nervosa
Iranian Journal of Child Neurology,
Vol. 13 No. 3 (2019),
1 July 2019
,
Page 45-54
https://doi.org/10.22037/ijcn.v13i3.18999
Abstract
Objectives
Anorexia Nervosa (AN) as a mental condition is a common eating disorder among young women. This study aims 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
The 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 is required to justify these findings.
- Anorexia Nervosa
- Eating Disorder
- Protein-protein Interaction Network Analysis
- Protein Clustering
- Gene Ontology
How to Cite
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