Network dynamics-based subtyping of Alzheimer's disease with microglial genetic risk factors.

ABSTRACT:

Background

The potential of microglia as a target for Alzheimer's disease (AD) treatment is promising, yet the clinical and pathological diversity within microglia, driven by genetic factors, poses a significant challenge. Subtyping AD is imperative to enable precise and effective treatment strategies. However, existing subtyping methods fail to comprehensively address the intricate complexities of AD pathogenesis, particularly concerning genetic risk factors. To address this gap, we have employed systems biology approaches for AD subtyping and identified potential therapeutic targets.

Methods

We constructed patient-specific microglial molecular regulatory network models by utilizing existing literature and single-cell RNA sequencing data. The combination of large-scale comp

SUBMITTER: Choi JH 

PROVIDER: S-EPMC11481771 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature