Systematic tracking of dysregulated modules identifies disrupted pathways in narcolepsy

Area of Science:

• Bioinformatics
• Systems Biology
• Genomics

Background:

• Narcolepsy is a complex neurological disorder with poorly understood etiology.
• Protein-protein interaction (PPI) networks offer insights into cellular mechanisms and disease pathways.

Purpose of the Study:

• To identify disrupted biological pathways in narcolepsy using reweighted PPI networks.
• To compare molecular modules between normal and narcolepsy conditions.
• To uncover potential therapeutic targets and etiological mechanisms for narcolepsy.

Main Methods:

• Inferred and reweighted normal and narcolepsy PPI networks using Pearson correlation coefficient (PCC).
• Explored PPI network modules with a clique-merging algorithm and identified altered modules via maximum weight bipartite matching.
• Performed pathway enrichment analysis on altered module genes using the Expression Analysis Systematic Explored (EASE) test.

Main Results:

• Identified 235 altered modules by comparing normal and narcolepsy PPI networks.
• Pathway functional enrichment analysis revealed 59 disrupted pathways (P < 0.001).
• Key disrupted pathways include oxidative phosphorylation, T cell receptor signaling, cell cycle, Alzheimer's disease, and focal adhesion.

Conclusions:

• Successfully identified significantly disrupted pathways in narcolepsy.
• These pathways represent potential biological targets for narcolepsy treatment.
• The findings contribute to understanding the etiological mechanisms of narcolepsy.