Integrative bioinformatics and machine learning identify iron metabolism genes MAP4, GPT, and HIRIP3 as diagnostic biomarkers and therapeutic targets in Alzheimer’s disease

Integrative bioinformatics and machine learning identify iron metabolism genes MAP4, GPT, and HIRIP3 as diagnostic biomarkers and therapeutic targets in Alzheimer’s disease

BackgroundAlzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, memory impairment, and the accumulation of pathological markers such as amyloid-beta plaques and neurofibrillary tangles. Recent evidence suggests a role for dysregulated iron metabolis...

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Bibliographic Details
Main Authors: Xiaoqiong An, Xiangguang Zeng, Zhenzhen Yi, Manni Cao, Yijia Wang, Wenfeng Yu, Zhenkui Ren
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Cellular Neuroscience
Subjects:
Alzheimer’s disease
iron metabolism
GPT
MAP4
HIRIP3
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fncel.2025.1610682/full
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https://www.frontiersin.org/articles/10.3389/fncel.2025.1610682/full

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