The Construction of Common and Specific Significance Subnetworks of Alzheimer's Disease from Multiple Brain Regions

Alzheimer's disease (AD) is a progressively and fatally neurodegenerative disorder and leads to irreversibly cognitive and memorial damage in different brain regions. The identification and analysis of the dysregulated pathways and subnetworks among affected brain regions will provide deep insi...

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Main Authors:	Kong, Wei, Mou, Xiaoyang, Zhang, Na, Zeng, Weiming, Li, Shasha, Yang, Yang
Format:	Online
Language:	English
Published:	Hindawi Publishing Corporation 2015
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383160/

id	pubmed-4383160
recordtype	oai_dc
spelling	pubmed-43831602015-04-12 The Construction of Common and Specific Significance Subnetworks of Alzheimer's Disease from Multiple Brain Regions Kong, Wei Mou, Xiaoyang Zhang, Na Zeng, Weiming Li, Shasha Yang, Yang Research Article Alzheimer's disease (AD) is a progressively and fatally neurodegenerative disorder and leads to irreversibly cognitive and memorial damage in different brain regions. The identification and analysis of the dysregulated pathways and subnetworks among affected brain regions will provide deep insights for the pathogenetic mechanism of AD. In this paper, commonly and specifically significant subnetworks were identified from six AD brain regions. Protein-protein interaction (PPI) data were integrated to add molecular biological information to construct the functional modules of six AD brain regions by Heinz algorithm. Then, the simulated annealing algorithm based on edge weight is applied to predicting and optimizing the maximal scoring networks for common and specific genes, respectively, which can remove the weak interactions and add the prediction of strong interactions to increase the accuracy of the networks. The identified common subnetworks showed that inflammation of the brain nerves is one of the critical factors of AD and calcium imbalance may be a link among several causative factors in AD pathogenesis. In addition, the extracted specific subnetworks for each brain region revealed many biologically functional mechanisms to understand AD pathogenesis. Hindawi Publishing Corporation 2015 2015-03-19 /pmc/articles/PMC4383160/ /pubmed/25866779 http://dx.doi.org/10.1155/2015/394260 Text en Copyright © 2015 Wei Kong et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type	Open Access Journal
institution_category	Foreign Institution
institution	US National Center for Biotechnology Information
building	NCBI PubMed
collection	Online Access
language	English
format	Online
author	Kong, Wei Mou, Xiaoyang Zhang, Na Zeng, Weiming Li, Shasha Yang, Yang
spellingShingle	Kong, Wei Mou, Xiaoyang Zhang, Na Zeng, Weiming Li, Shasha Yang, Yang The Construction of Common and Specific Significance Subnetworks of Alzheimer's Disease from Multiple Brain Regions
author_facet	Kong, Wei Mou, Xiaoyang Zhang, Na Zeng, Weiming Li, Shasha Yang, Yang
author_sort	Kong, Wei
title	The Construction of Common and Specific Significance Subnetworks of Alzheimer's Disease from Multiple Brain Regions
title_short	The Construction of Common and Specific Significance Subnetworks of Alzheimer's Disease from Multiple Brain Regions
title_full	The Construction of Common and Specific Significance Subnetworks of Alzheimer's Disease from Multiple Brain Regions
title_fullStr	The Construction of Common and Specific Significance Subnetworks of Alzheimer's Disease from Multiple Brain Regions
title_full_unstemmed	The Construction of Common and Specific Significance Subnetworks of Alzheimer's Disease from Multiple Brain Regions
title_sort	construction of common and specific significance subnetworks of alzheimer's disease from multiple brain regions
description	Alzheimer's disease (AD) is a progressively and fatally neurodegenerative disorder and leads to irreversibly cognitive and memorial damage in different brain regions. The identification and analysis of the dysregulated pathways and subnetworks among affected brain regions will provide deep insights for the pathogenetic mechanism of AD. In this paper, commonly and specifically significant subnetworks were identified from six AD brain regions. Protein-protein interaction (PPI) data were integrated to add molecular biological information to construct the functional modules of six AD brain regions by Heinz algorithm. Then, the simulated annealing algorithm based on edge weight is applied to predicting and optimizing the maximal scoring networks for common and specific genes, respectively, which can remove the weak interactions and add the prediction of strong interactions to increase the accuracy of the networks. The identified common subnetworks showed that inflammation of the brain nerves is one of the critical factors of AD and calcium imbalance may be a link among several causative factors in AD pathogenesis. In addition, the extracted specific subnetworks for each brain region revealed many biologically functional mechanisms to understand AD pathogenesis.
publisher	Hindawi Publishing Corporation
publishDate	2015
url	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4383160/
_version_	1613206798852947968

The Construction of Common and Specific Significance Subnetworks of Alzheimer's Disease from Multiple Brain Regions

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