Computational Analysis of Pathogenetic Pathways in Alzheimer's Disease and Prediction of Potential Therapeutic Drugs.

ABSTRACT:

Background

Alzheimer's disease (AD) is a chronic and progressive neurodegenerative disease which affects more than 50 million patients and represents 60-80% of all cases of dementia. Mutations in the APP gene, mostly affecting the γ-secretase site of cleavage and presenilin mutations, have been identified in inherited forms of AD.

Methods

In the present study, we performed a meta-analysis of the transcriptional signatures that characterize two familial AD mutations (APP^V7171F and PSEN1^M146V) in order to characterize the common altered biomolecular pathways affected by these mutations. Next, an anti-signature perturbation analysis was performed using the AD meta-signature and the drug meta-signatures obtained from the L1000 database, using cosine similar

SUBMITTER: Petralia MC 

PROVIDER: S-EPMC9313152 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature