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

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...

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Bibliographic Details
Main Authors: David Cohen, Alexander Pilozzi, Xudong Huang
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:International Journal of Molecular Sciences
Subjects:
alzheimer’s disease
network medicine
gene expression
neurodegeneration
neuroinflammation
Online Access:https://www.mdpi.com/1422-0067/21/1/332
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spelling doaj-2049b9c1197644c4bb9e4169987739ed2020-11-25T02:13:03ZengMDPI AGInternational Journal of Molecular Sciences1422-00672020-01-0121133210.3390/ijms21010332ijms21010332Network Medicine Approach for Analysis of Alzheimer’s Disease Gene Expression DataDavid Cohen0Alexander Pilozzi1Xudong Huang2Neurochemistry Laboratory, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USANeurochemistry Laboratory, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USANeurochemistry Laboratory, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USAAlzheimer’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.https://www.mdpi.com/1422-0067/21/1/332alzheimer’s diseasenetwork medicinegene expressionneurodegenerationneuroinflammation
collection DOAJ
language English
format Article
sources DOAJ
author David Cohen
Alexander Pilozzi
Xudong Huang
spellingShingle David Cohen
Alexander Pilozzi
Xudong Huang
Network Medicine Approach for Analysis of Alzheimer’s Disease Gene Expression Data
International Journal of Molecular Sciences
alzheimer’s disease
network medicine
gene expression
neurodegeneration
neuroinflammation
author_facet David Cohen
Alexander Pilozzi
Xudong Huang
author_sort David Cohen
title 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_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_sort network medicine approach for analysis of alzheimer’s disease gene expression data
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1422-0067
publishDate 2020-01-01
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.
topic alzheimer’s disease
network medicine
gene expression
neurodegeneration
neuroinflammation
url https://www.mdpi.com/1422-0067/21/1/332
work_keys_str_mv AT davidcohen networkmedicineapproachforanalysisofalzheimersdiseasegeneexpressiondata
AT alexanderpilozzi networkmedicineapproachforanalysisofalzheimersdiseasegeneexpressiondata
AT xudonghuang networkmedicineapproachforanalysisofalzheimersdiseasegeneexpressiondata
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