Comparative Multi-Omics Analysis Identifies Shared Transcriptomic Signatures and Therapeutic Targets in Alzheimer’s, Parkinson’s, and Huntington’s Diseases

Alzheimer's disease (AD), Parkinson's disease (PD), and Huntington's disease (HD) are major neurodegenerative disorders that share certain pathological features but differ in their genetic etiology and clinical presentation. Their potential molecular intersections remain incompletely understood. In this research, we conducted a comparative transcriptomic analysis using postmortem brain RNA-seq datasets from AD (GSE53697), PD (GSE68719), and HD (GSE64810) to identify shared and disease-specific transcriptional signatures. Differentially expressed genes (DEGs) were determined and functionally characterized through Gene Ontology (GO) enrichment. Protein-protein interaction (PPI) networks were generated using STRING and visualized in Cytoscape to identify central hub genes, followed by gene-disease and drug-interaction analyses to assess functional and therapeutic relevance. Ten DEGs were found to overlap among the three disorders, exhibiting variable directions of regulation across diseases. Enrichment analysis indicated convergence on immune- and inflammation-related biological processes. Key hub genes, including <i>MMP9</i>, <i>LCN2</i>, <i>CXCL2</i>, <i>CCL2</i>, <i>S100A8</i>, and <i>S100A9</i>, were identified as central nodes within the PPI network. Although the overlap in DEGs was limited, the findings suggest that neuroinflammatory signaling represents a shared molecular theme across AD, PD, and HD, warranting further validation in independent cohorts.

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Publication Details

Journal
Current Issues in Molecular Biology
Published
2025-11-24
DOI
https://doi.org/10.3390/cimb47120976
Citations
2
Primary Topic
S100 Proteins and Annexins
Type
article
Field-Weighted Citation Impact
1.61
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article

Comparative Multi-Omics Analysis Identifies Shared Transcriptomic Signatures and Therapeutic Targets in Alzheimer’s, Parkinson’s, and Huntington’s Diseases

Eman Monir, Elsayed Metwalli Badr, Abdallah Donia, Luai Ibrahim Alharbi
2 citations
Current Issues in Molecular Biology
S100 Proteins and Annexins
1.61
article

Comparative Multi-Omics Analysis Identifies Shared Transcriptomic Signatures and Therapeutic Targets in Alzheimer’s, Parkinson’s, and Huntington’s Diseases

Eman Monir, Elsayed Metwalli Badr, Abdallah Donia, Luai Ibrahim Alharbi
article en
2 citations

Abstract

Alzheimer's disease (AD), Parkinson's disease (PD), and Huntington's disease (HD) are major neurodegenerative disorders that share certain pathological features but differ in their genetic etiology and clinical presentation. Their potential molecular intersections remain incompletely understood. In this research, we conducted a comparative transcriptomic analysis using postmortem brain RNA-seq datasets from AD (GSE53697), PD (GSE68719), and HD (GSE64810) to identify shared and disease-specific transcriptional signatures. Differentially expressed genes (DEGs) were determined and functionally characterized through Gene Ontology (GO) enrichment. Protein-protein interaction (PPI) networks were generated using STRING and visualized in Cytoscape to identify central hub genes, followed by gene-disease and drug-interaction analyses to assess functional and therapeutic relevance. Ten DEGs were found to overlap among the three disorders, exhibiting variable directions of regulation across diseases. Enrichment analysis indicated convergence on immune- and inflammation-related biological processes. Key hub genes, including <i>MMP9</i>, <i>LCN2</i>, <i>CXCL2</i>, <i>CCL2</i>, <i>S100A8</i>, and <i>S100A9</i>, were identified as central nodes within the PPI network. Although the overlap in DEGs was limited, the findings suggest that neuroinflammatory signaling represents a shared molecular theme across AD, PD, and HD, warranting further validation in independent cohorts.

Current Issues in Molecular BiologyVol. 47(12)
Misr University for Science and Technology (EG), Benha University (EG), Monash University (AU)
Openalex Percentile: Top 14%
S100 Proteins and Annexins
1.61
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