Integrative bioinformatics and machine learning approaches reveal oxidative stress and glucose metabolism related genes as therapeutic targets and drug candidates in Alzheimer’s disease

Integrative bioinformatics and machine learning approaches reveal oxidative stress and glucose metabolism related genes as therapeutic targets and drug candidates in Alzheimer’s disease

BackgroundAlzheimer’s disease (AD), the most common form of dementia, has treatments that slow but do not stop cognitive decline. Additional treatments are based on its pathogenic mechanisms are needed. Evidence has long highlighted oxidative stress and impaired glucose metabolism as crucial factors...

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Bibliographic Details
Main Authors: Fatima Noor, Sidra Aslam, Ignazio S. Piras, Cecilia Tremblay, Thomas G. Beach, Geidy E. Serrano
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Immunology
Subjects:
oxidative stress
Alzheimer’s disease
glucose metabolism
bioinformatics
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2025.1572468/full
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https://www.frontiersin.org/articles/10.3389/fimmu.2025.1572468/full

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