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Dataset Information

Predicting Alzheimer's disease subtypes and understanding their molecular characteristics in living patients with transcriptomic trajectory profiling.


ABSTRACT:

Introduction

Deciphering the diverse molecular mechanisms in living Alzheimer's disease (AD) patients is a big challenge but is pivotal for disease prognosis and precision medicine development.

Methods

Utilizing an optimal transport approach, we conducted graph-based mapping of transcriptomic profiles to transfer AD subtype labels from ROSMAP monocyte samples to ADNI and ANMerge peripheral blood mononuclear cells. Subsequently, differential expression followed by comparative pathway and diffusion pseudotime analysis were applied to each cohort to infer the progression trajectories. Survival analysis with real follow-up time was used to obtain potential biomarkers for AD prognosis.

Results

AD subtype labels were accurately transferred onto the blood samples of ADNI and

SUBMITTER: Huang X 

PROVIDER: S-EPMC11772740 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature