Using blood transcriptome analysis for Alzheimer's disease diagnosis and patient stratification.

Huan ZhongXiaopu ZhouHyebin UhmYuanbing JiangHan CaoYu ChenTiffany T W MakRonnie Ming Nok LoBonnie Wing Yan WongElaine Yee Ling ChengKin Y MokAndrew Lung Tat ChanTimothy C Y KwokVincent C T MokFanny C F IpJohn HardyAmy K Y FuNancy Y Ip

Published in: Alzheimer's & dementia : the journal of the Alzheimer's Association (2024)

We comprehensively analyze the blood transcriptomes of a well-characterized Alzheimer's disease cohort to identify genes, gene modules, pathways, and specific blood cells associated with the disease. Blood transcriptome analysis accurately classifies and stratifies patients with Alzheimer's disease, with some gene modules achieving classification accuracy comparable to that of the plasma ATN biomarkers. Immune-associated pathways and immune cells, such as neutrophils, have potential roles in the pathogenesis and progression of Alzheimer's disease.

Keyphrases

cognitive decline
genome wide
copy number
dna methylation
induced apoptosis
risk assessment
single cell
signaling pathway
case report
genome wide identification
transcription factor
cell cycle arrest
genome wide analysis