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Network Medicine Approach for Analysis of Alzheimer’s Disease Gene Expression Data

Alzheimer’s disease (AD) is the most widespread diagnosed cause of dementia in the elderly. It is a progressive neurodegenerative disease that causes memory loss as well as other detrimental symptoms that are ultimately fatal. Due to the urgent nature of this disease, and the current lack of success...

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Autores principales: Cohen, David, Pilozzi, Alexander, Huang, Xudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981840/
https://www.ncbi.nlm.nih.gov/pubmed/31947790
http://dx.doi.org/10.3390/ijms21010332
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author Cohen, David
Pilozzi, Alexander
Huang, Xudong
author_facet Cohen, David
Pilozzi, Alexander
Huang, Xudong
author_sort Cohen, David
collection PubMed
description Alzheimer’s disease (AD) is the most widespread diagnosed cause of dementia in the elderly. It is a progressive neurodegenerative disease that causes memory loss as well as other detrimental symptoms that are ultimately fatal. Due to the urgent nature of this disease, and the current lack of success in treatment and prevention, it is vital that different methods and approaches are applied to its study in order to better understand its underlying mechanisms. To this end, we have conducted network-based gene co-expression analysis on data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. By processing and filtering gene expression data taken from the blood samples of subjects with varying disease states and constructing networks based on that data to evaluate gene relationships, we have been able to learn about gene expression correlated with the disease, and we have identified several areas of potential research interest.
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spelling pubmed-69818402020-02-07 Network Medicine Approach for Analysis of Alzheimer’s Disease Gene Expression Data Cohen, David Pilozzi, Alexander Huang, Xudong Int J Mol Sci Article Alzheimer’s disease (AD) is the most widespread diagnosed cause of dementia in the elderly. It is a progressive neurodegenerative disease that causes memory loss as well as other detrimental symptoms that are ultimately fatal. Due to the urgent nature of this disease, and the current lack of success in treatment and prevention, it is vital that different methods and approaches are applied to its study in order to better understand its underlying mechanisms. To this end, we have conducted network-based gene co-expression analysis on data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. By processing and filtering gene expression data taken from the blood samples of subjects with varying disease states and constructing networks based on that data to evaluate gene relationships, we have been able to learn about gene expression correlated with the disease, and we have identified several areas of potential research interest. MDPI 2020-01-03 /pmc/articles/PMC6981840/ /pubmed/31947790 http://dx.doi.org/10.3390/ijms21010332 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cohen, David
Pilozzi, Alexander
Huang, Xudong
Network Medicine Approach for Analysis of Alzheimer’s Disease Gene Expression Data
title Network Medicine Approach for Analysis of Alzheimer’s Disease Gene Expression Data
title_full Network Medicine Approach for Analysis of Alzheimer’s Disease Gene Expression Data
title_fullStr Network Medicine Approach for Analysis of Alzheimer’s Disease Gene Expression Data
title_full_unstemmed Network Medicine Approach for Analysis of Alzheimer’s Disease Gene Expression Data
title_short Network Medicine Approach for Analysis of Alzheimer’s Disease Gene Expression Data
title_sort network medicine approach for analysis of alzheimer’s disease gene expression data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6981840/
https://www.ncbi.nlm.nih.gov/pubmed/31947790
http://dx.doi.org/10.3390/ijms21010332
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