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Updated: Jun 6, 2025
09:47
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
Published on: December 15, 2023
957
Unveiling biomarker detection in Alzheimer's disease: a computational approach to microarray analysis
Noor Saba Khan1, Saumya Choudhary1, Mohd Ali2
1Biomedical Informatics Centre, ICMR-National Institute of Pathology, New Delhi, 110029 India.
3 Biotech
|November 28, 2024
Summary
Researchers identified key genes and pathways involved in Alzheimer's disease (AD). This discovery offers potential new biomarkers and therapeutic targets for treating this neurodegenerative condition.
Area of Science:
- Neuroscience
- Genomics
- Molecular Biology
Background:
- Alzheimer's disease (AD) is a prevalent neurodegenerative disorder with complex molecular underpinnings.
- Understanding AD's molecular mechanisms is crucial for developing effective biomarkers and treatments.
Purpose of the Study:
- To identify differentially expressed genes (DEGs) in Alzheimer's disease.
- To explore the connections between these DEGs, metabolic pathways, and other neurological diseases.
- To construct a protein-protein interaction (PPI) network for AD.
Main Methods:
- Analysis of the gene expression profile GSE5281 (161 samples: 87 AD, 74 control).
- KEGG screening for pathway analysis of DEGs.
- Protein-protein interaction (PPI) network and module analysis to identify hub genes.
Main Results:
- Identified hub genes including ACTB, EGFR, GAPDH, MAPK1, and SNAP25.
- Linked dysregulated genes to AD pathology, including altered nucleotide metabolism and blood-brain barrier (BBB) dysfunction.
- Revealed potential connections to osteoporosis and microtubule stability.
Conclusions:
- The identified hub genes and pathways represent potential predictive biomarkers for AD.
- These findings may guide the development of novel therapeutic and preventive strategies for Alzheimer's disease.
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