Unknown

Dataset Information

Molecular subtyping of Alzheimer's disease using RNA sequencing data reveals novel mechanisms and targets.


ABSTRACT: Alzheimer's disease (AD), the most common form of dementia, is recognized as a heterogeneous disease with diverse pathophysiologic mechanisms. In this study, we interrogate the molecular heterogeneity of AD by analyzing 1543 transcriptomes across five brain regions in two AD cohorts using an integrative network approach. We identify three major molecular subtypes of AD corresponding to different combinations of multiple dysregulated pathways, such as susceptibility to tau-mediated neurodegeneration, amyloid-β neuroinflammation, synaptic signaling, immune activity, mitochondria organization, and myelination. Multiscale network analysis reveals subtype-specific drivers such as GABRB2, LRP10, MSN, PLP1, and ATP6V1A We further demonstrate that variations betw

SUBMITTER: Neff RA 

PROVIDER: S-EPMC7787497 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature