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Updated: Jun 11, 2026
09:47
DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data
Published on: December 15, 2023
An Image Based System Biology Approach for Alzheimer's Disease Pathway Analysis
Yue Huang1, Xiaobo Zhou, Benchun Miao
1Center for Biotechnology and Informatics, Department of Radiology, The Methodist Hospital Research Institute, Weill Cornell Medical College, Houston, TX, 77030, U.S.A.
IEEE/NIH Life Science Systems and Applications Workshop. IEEE/NIH Life Science Systems and Applications Workshop
|June 30, 2010
Summary
Researchers analyzed Alzheimer's disease mechanisms using imaging and gene expression data. They identified novel genes and pathways linked to amyloid-beta induced neuronal damage and neurite loss.
Area of Science:
- Neuroscience
- Genetics
- Biochemistry
Background:
- Alzheimer's disease (AD) pathogenesis involves complex mechanisms.
- Amyloid-beta (Aβ) plaques are a hallmark of AD, leading to neuronal injury.
- Understanding gene-environment interactions is crucial for AD research.
Purpose of the Study:
- To investigate multifactorial mechanisms underlying Alzheimer's disease.
- To identify genes and pathways associated with Aβ-induced neuronal phenotypes.
- To integrate neuronal imaging with hippocampal gene expression data.
Main Methods:
- High-content analysis of neuronal imaging.
- Gene expression microarray analysis.
- Linear regression modeling to integrate diverse datasets.
Main Results:
- Identified candidate genes correlating with specific neuronal image traits in Aβ-injured neurons.
- Gene network and pathway analysis revealed novel biological pathways.
- These pathways may contribute to neurite loss triggered by amyloid plaques.
Conclusions:
- Multifactorial analysis provides insights into AD mechanisms.
- Specific genes and pathways are implicated in Aβ-induced neurodegeneration.
- Further research into these pathways could reveal therapeutic targets for Alzheimer's disease.
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