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: Deniz Rende, Nihat Baysal, Betul Kirdar
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Publicado: Public Library of Science (PLoS) 2013
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spelling oai:doaj.org-article:9e85728006e14867bb93b1681d856c662021-11-18T07:42:18ZComplex disease interventions from a network model for type 2 diabetes.1932-620310.1371/journal.pone.0065854https://doaj.org/article/9e85728006e14867bb93b1681d856c662013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23776558/?tool=EBIhttps://doaj.org/toc/1932-6203There 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.Deniz RendeNihat BaysalBetul KirdarPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 6, p e65854 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Deniz Rende
Nihat Baysal
Betul Kirdar
Complex disease interventions from a network model for type 2 diabetes.
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.
format article
author Deniz Rende
Nihat Baysal
Betul Kirdar
author_facet Deniz Rende
Nihat Baysal
Betul Kirdar
author_sort Deniz Rende
title 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_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_sort complex disease interventions from a network model for type 2 diabetes.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/9e85728006e14867bb93b1681d856c66
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AT nihatbaysal complexdiseaseinterventionsfromanetworkmodelfortype2diabetes
AT betulkirdar complexdiseaseinterventionsfromanetworkmodelfortype2diabetes
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