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- Title
Interaction Network Prediction and Analysis of Anorexia Nervosa.
- Authors
REZAEI TAVIRANI, Majid; REZAEI TAVIRANI, Mostafa; VAFAEE, Reza
- Abstract
Objectives 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.
- Subjects
PROTEIN analysis; ANOREXIA nervosa; GENETICS; GENETIC techniques; GENETIC testing; ONTOLOGIES (Information retrieval); GENE expression profiling; ADULTS
- Publication
Iranian Journal of Child Neurology, 2019, Vol 13, Issue 3, p45
- ISSN
1735-4668
- Publication type
Article