Abstract
Background: Alzheimer's disease (AD) is the most prevalent neurodegenerative disease throughout the world. Most of the clinical symptoms of AD appear at a very later stage, therefore, the identification of disease markers is essential which can help proper detection of AD at an earlier stage and slow down its progression. Studies have implicated that epigenetic biomarkers, such as DNA methylation, histone modification and non coding RNA mediated regulation serve crucial roles in several disease progression including AD.
Objective: The aim of our study was to identify the topologically significant AD-related proteins from experimentally validated human protein-protein interaction database, HPRD (interactome) and find out novel epigenetic biomarkers.
Method: In this computational work, we constructed AD specific diseasome from AD genelist and interactome. Using this diseasome we screened the interactome with the help of novel parameters namely degree band and similarity index and identified AD related proteins. Regulatory network involving AD related proteins, not previously known to be associated with AD was constructed. Several network motifs and epigenetic modification patterns of regulators of these motifs were studied.
Result: Our study identified computationally predicted 22 epigenetic genes and 11 epigenetic miRs, not previously known to be associated with AD, from the network motifs. Most of these genes and miRs show brain specific expression. Further study on the epigenetic modification patterns of these regulators regarding histone modification, CpG island and lncRNAs strengthened their association in AD.
Conclusion: Computationally predicted genes and miRs identified in our study might provide insight into new epigenetic AD therapeutic targets.
Keywords: Alzheimer's disease, epigenetic modifications, lncRNAs, MicroRNA, network motifs.
Current Alzheimer Research
Title:Insight into the Epigenetics of Alzheimer's Disease: A Computational Study from Human Interactome
Volume: 13 Issue: 12
Author(s): Paulami Chatterjee and Debjani Roy
Affiliation:
Keywords: Alzheimer's disease, epigenetic modifications, lncRNAs, MicroRNA, network motifs.
Abstract: Background: Alzheimer's disease (AD) is the most prevalent neurodegenerative disease throughout the world. Most of the clinical symptoms of AD appear at a very later stage, therefore, the identification of disease markers is essential which can help proper detection of AD at an earlier stage and slow down its progression. Studies have implicated that epigenetic biomarkers, such as DNA methylation, histone modification and non coding RNA mediated regulation serve crucial roles in several disease progression including AD.
Objective: The aim of our study was to identify the topologically significant AD-related proteins from experimentally validated human protein-protein interaction database, HPRD (interactome) and find out novel epigenetic biomarkers.
Method: In this computational work, we constructed AD specific diseasome from AD genelist and interactome. Using this diseasome we screened the interactome with the help of novel parameters namely degree band and similarity index and identified AD related proteins. Regulatory network involving AD related proteins, not previously known to be associated with AD was constructed. Several network motifs and epigenetic modification patterns of regulators of these motifs were studied.
Result: Our study identified computationally predicted 22 epigenetic genes and 11 epigenetic miRs, not previously known to be associated with AD, from the network motifs. Most of these genes and miRs show brain specific expression. Further study on the epigenetic modification patterns of these regulators regarding histone modification, CpG island and lncRNAs strengthened their association in AD.
Conclusion: Computationally predicted genes and miRs identified in our study might provide insight into new epigenetic AD therapeutic targets.
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Cite this article as:
Chatterjee Paulami and Roy Debjani, Insight into the Epigenetics of Alzheimer's Disease: A Computational Study from Human Interactome, Current Alzheimer Research 2016; 13 (12) . https://dx.doi.org/10.2174/1567205013666160803151101
DOI https://dx.doi.org/10.2174/1567205013666160803151101 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
Call for Papers in Thematic Issues
New Advances in the Prevention, Diagnosis, Treatment, and Rehabilitation of Alzheimer's Disease
Aims and Scope: Introduction: Alzheimer's disease (AD) poses a significant global health challenge, with an increasing prevalence that demands concerted efforts to advance our understanding and strategies for prevention, diagnosis, treatment, and rehabilitation. This thematic issue aims to bring together cutting-edge research and innovative approaches from multidisciplinary perspectives to address ...read more
Current updates on the Role of Neuroinflammation in Neurodegenerative Disorders
Neuroinflammation is an invariable hallmark of chronic and acute neurodegenerative disorders and has long been considered a potential drug target for Alzheimer?s disease (AD) and dementia. Significant evidence of inflammatory processes as a feature of AD is provided by the presence of inflammatory markers in plasma, CSF and postmortem brain ...read more
Deep Learning for Advancing Alzheimer's Disease Research
Alzheimer's disease (AD) poses a significant global health challenge, with an increasing number of individuals affected yearly. Deep learning, a subfield of artificial intelligence, has shown immense potential in various domains, including healthcare. This thematic issue of Current Alzheimer Research explores the application of deep learning techniques in advancing our ...read more
Diagnostic and therapeutic biomarkers of dementia
Dementia affects 18 million people worldwide. Dementia is a syndrome of symptoms caused by brain disease, usually chronic or progressive, clinically characterized by multiple impairments of higher cortical functions such as memory, thinking, orientation, and learning. In addition, in the course of dementia, cognitive deficits are observed, which often hinder ...read more
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