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Complex Disease Interventions from a Network Model for Type 2 Diabetes

There is accumulating evidence that the proteins encoded by the genes associated with a common disorder interact with each other, participate in similar pathways and share GO terms. It has been anticipated that the functional modules in a disease related functional linkage network are informative to...

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Autores principales: Rende, Deniz, Baysal, Nihat, Kirdar, Betul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3679160/
https://www.ncbi.nlm.nih.gov/pubmed/23776558
http://dx.doi.org/10.1371/journal.pone.0065854
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author Rende, Deniz
Baysal, Nihat
Kirdar, Betul
author_facet Rende, Deniz
Baysal, Nihat
Kirdar, Betul
author_sort Rende, Deniz
collection PubMed
description There is accumulating evidence that the proteins encoded by the genes associated with a common disorder interact with each other, participate in similar pathways and share GO terms. It has been anticipated that the functional modules in a disease related functional linkage network are informative to reveal significant metabolic processes and disease’s associations with other complex disorders. In the current study, Type 2 diabetes associated functional linkage network (T2DFN) containing 2770 proteins and 15041 linkages was constructed. The functional modules in this network were scored and evaluated in terms of shared pathways, co-localization, co-expression and associations with similar diseases. The assembly of top scoring overlapping members in the functional modules revealed that, along with the well known biological pathways, circadian rhythm, diverse actions of nuclear receptors in steroid and retinoic acid metabolisms have significant occurrence in the pathophysiology of the disease. The disease’s association with other metabolic and neuromuscular disorders was established through shared proteins. Nuclear receptor NRIP1 has a pivotal role in lipid and carbohydrate metabolism, indicating the need to investigate subsequent effects of NRIP1 on Type 2 diabetes. Our study also revealed that CREB binding protein (CREBBP) and cardiotrophin-1 (CTF1) have suggestive roles in linking Type 2 diabetes and neuromuscular diseases.
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spelling pubmed-36791602013-06-17 Complex Disease Interventions from a Network Model for Type 2 Diabetes Rende, Deniz Baysal, Nihat Kirdar, Betul PLoS One Research Article There is accumulating evidence that the proteins encoded by the genes associated with a common disorder interact with each other, participate in similar pathways and share GO terms. It has been anticipated that the functional modules in a disease related functional linkage network are informative to reveal significant metabolic processes and disease’s associations with other complex disorders. In the current study, Type 2 diabetes associated functional linkage network (T2DFN) containing 2770 proteins and 15041 linkages was constructed. The functional modules in this network were scored and evaluated in terms of shared pathways, co-localization, co-expression and associations with similar diseases. The assembly of top scoring overlapping members in the functional modules revealed that, along with the well known biological pathways, circadian rhythm, diverse actions of nuclear receptors in steroid and retinoic acid metabolisms have significant occurrence in the pathophysiology of the disease. The disease’s association with other metabolic and neuromuscular disorders was established through shared proteins. Nuclear receptor NRIP1 has a pivotal role in lipid and carbohydrate metabolism, indicating the need to investigate subsequent effects of NRIP1 on Type 2 diabetes. Our study also revealed that CREB binding protein (CREBBP) and cardiotrophin-1 (CTF1) have suggestive roles in linking Type 2 diabetes and neuromuscular diseases. Public Library of Science 2013-06-11 /pmc/articles/PMC3679160/ /pubmed/23776558 http://dx.doi.org/10.1371/journal.pone.0065854 Text en © 2013 Rende et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Rende, Deniz
Baysal, Nihat
Kirdar, Betul
Complex Disease Interventions from a Network Model for Type 2 Diabetes
title Complex Disease Interventions from a Network Model for Type 2 Diabetes
title_full Complex Disease Interventions from a Network Model for Type 2 Diabetes
title_fullStr Complex Disease Interventions from a Network Model for Type 2 Diabetes
title_full_unstemmed Complex Disease Interventions from a Network Model for Type 2 Diabetes
title_short Complex Disease Interventions from a Network Model for Type 2 Diabetes
title_sort complex disease interventions from a network model for type 2 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3679160/
https://www.ncbi.nlm.nih.gov/pubmed/23776558
http://dx.doi.org/10.1371/journal.pone.0065854
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