Conserved Blood Transcriptome Patterns Highlight microRNA and Hub Gene Drivers of Neurodegeneration.

Area of Science:

• Molecular Biology
• Neuroscience
• Genomics

Background:

• Neurodegenerative diseases (NDs), including Alzheimer's (AD), Parkinson's (PD), Huntington's (HD), and Amyotrophic Lateral Sclerosis (ALS), are distinct yet share common molecular underpinnings.
• Understanding these shared mechanisms is crucial for developing effective treatments.

Purpose of the Study:

• To identify conserved systemic transcriptional signatures in the blood of patients with various neurodegenerative diseases.
• To explore potential blood-based biomarkers and therapeutic targets for NDs.

Main Methods:

• Analysis of blood RNA-Seq datasets using Weighted Gene Co-Expression Network Analysis (WGCNA).
• Differential gene expression analysis, pathway enrichment, and miRNA-mRNA network mapping were employed.
• Identification of preserved gene modules and key regulatory genes and miRNAs across different NDs.

Main Results:

• Two gene modules (red and turquoise) were significantly preserved across the studied neurodegenerative diseases.
• The red module was associated with cytoskeletal and metabolic regulation, while the turquoise module involved immune, stress-response, and proteostasis pathways.
• Key hub genes (e.g., HMGCR, ACTR2, MYD88, PTEN, EP300) and miRNAs (e.g., miR-29, miR-132, miR-146a) formed interconnected networks, highlighting shared molecular vulnerabilities.

Conclusions:

• Conserved blood-based transcriptional modules suggest parallel molecular processes in the central nervous system across different neurodegenerative diseases.
• These findings support the potential for developing blood-based biomarkers for NDs.
• The identified networks and hub genes offer avenues for future therapeutic exploration and drug development.