Background: Identifying dysregulated pathways from significant differential expression
genes (DEGs) to infer underlying biological insights play an important role in discovering pathogenesis
of diseases. However, current pathway-based methods only focus on single pathways in isolation
and the analysis of the pathways crosstalk that contains DEGs could improve our understanding of alterations
in biological processes.
Objective: To explore the underlying dysregulated pathways of Alzheimer's disease (AD) efficiently
by the crosstalk analysis on both the significant DEGs and the pathways with high contributions.
Method: A novel signaling pathway impact analysis method is used to calculate and rank the signaling
pathways of AD. Distance correlation model based on the pathways with ranking contributions is applied
to calculate the crosstalk of pathways of AD.
Results: The method not only confirms the presence of known pathways associated with AD including
Parkinson's disease, Vegf signaling pathway and so on but also predicts the presence of unknown
pathways such as Basal cell carcinoma and Olfactory transduction pathways that are significantly associated
with the onset and deterioration of AD.
Conclusion: The results provide useful supplement and basis for the biological experiments of AD