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Interaction Network Prediction and Analysis of Anorexia Nervosa
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 relat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Shahid Beheshti University of Medical Sciences
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586457/ https://www.ncbi.nlm.nih.gov/pubmed/31327968 |
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author | REZAEI TAVIRANI, Majid REZAEI TAVIRANI, Mostafa VAFAEE, Reza |
author_facet | REZAEI TAVIRANI, Majid REZAEI TAVIRANI, Mostafa VAFAEE, Reza |
author_sort | REZAEI TAVIRANI, Majid |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6586457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Shahid Beheshti University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-65864572019-10-01 Interaction Network Prediction and Analysis of Anorexia Nervosa REZAEI TAVIRANI, Majid REZAEI TAVIRANI, Mostafa VAFAEE, Reza Iran J Child Neurol Original Article 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. Shahid Beheshti University of Medical Sciences 2019 /pmc/articles/PMC6586457/ /pubmed/31327968 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article REZAEI TAVIRANI, Majid REZAEI TAVIRANI, Mostafa VAFAEE, Reza Interaction Network Prediction and Analysis of Anorexia Nervosa |
title | Interaction Network Prediction and Analysis of Anorexia Nervosa |
title_full | Interaction Network Prediction and Analysis of Anorexia Nervosa |
title_fullStr | Interaction Network Prediction and Analysis of Anorexia Nervosa |
title_full_unstemmed | Interaction Network Prediction and Analysis of Anorexia Nervosa |
title_short | Interaction Network Prediction and Analysis of Anorexia Nervosa |
title_sort | interaction network prediction and analysis of anorexia nervosa |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6586457/ https://www.ncbi.nlm.nih.gov/pubmed/31327968 |
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