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Dataset Information

Identification and immunological characterization of cuproptosis-related molecular clusters in Alzheimer's disease.


ABSTRACT:

Introduction

Alzheimer's disease is the most common dementia with clinical and pathological heterogeneity. Cuproptosis is a recently reported form of cell death, which appears to result in the progression of various diseases. Therefore, our study aimed to explore cuproptosis-related molecular clusters in Alzheimer's disease and construct a prediction model.

Methods

Based on the GSE33000 dataset, we analyzed the expression profiles of cuproptosis regulators and immune characteristics in Alzheimer's disease. Using 310 Alzheimer's disease samples, we explored the molecular clusters based on cuproptosis-related genes, along with the related immune cell infiltration. Cluster-specific differentially expressed genes were identified using the WGCNA algorithm. Subsequently, the optim

SUBMITTER: Lai Y 

PROVIDER: S-EPMC9366224 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature