Integrative bioinformatics and machine learning identify iro…
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- DOI 10.3389/fncel.2025.1610682
- PMID https://pubmed.ncbi.nlm.nih.gov/40547214
- OpenAlex ID W4411107260
- Type Article
- Language EN
- Published 06 Jun 2025
- Volume 19
- Pages 1610682
- Source Frontiers in Cellular Neuroscience
- Publisher Frontiers Media
- FWCI 1.29
- Countries 1
- Institutions 1
- Added 10 Oct 2025
- Updated 27 Oct 2026
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Integrative bioinformatics and machine learning identify iron metabolism genes MAP4, GPT, and HIRIP3 as diagnostic biomarkers and therapeutic targets in Alzheimer’s disease
Article 2025 EN Gold
Background: Alzheimer'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 metabolism in the pathogenesis of AD, although the precise molecular mechanisms remain largely undefined. M…
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7 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Xiaoqiong An | — | |
| 2 | Xiaorong Zeng | Guiyang Medical University (CN) | |
| 3 | Zhenzhen Yi | — | — |
| 4 | Manni Cao | Guiyang Medical University (CN) | — |
| 5 | Yijia Wang | Guiyang Medical University (CN) | |
| 6 | Wenfeng Yu Corresponding | Guiyang Medical University (CN) | |
| 7 | Zhenkui Ren Corresponding | — |
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