Development of a diagnostic and risk prediction model for Alzheimer’s disease through integration of single-cell and bulk transcriptomic analysis of glutamine metabolism

Development of a diagnostic and risk prediction model for Alzheimer’s disease through integration of single-cell and bulk transcriptomic analysis of glutamine metabolism

BackgroundIn this study, we present a novel system for quantifying glutamine metabolism (GM) to enhance the effectiveness of Alzheimer’s disease (AD) diagnosis and risk prediction.MethodsSingle-cell RNA sequencing (scRNA-seq) analysis was utilized to comprehensively assess the expression patterns of...

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Bibliographic Details
Main Authors: Yan Guo, Tingru Zhao, Xi Chu, Zhenyun Cheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Aging Neuroscience
Subjects:
single-cell
glutamine metabolism
Alzheimer’s disease
machine learning
immune response
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2023.1275793/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2023.1275793/full

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