Integrative bioinformatics and machine learning identify iron metabolism genes MAP4, GPT, and HIRIP3 as diagnostic biomarkers and therapeutic targets in Alzheimer’s disease
This analysis highlights these genes as diagnostic biomarkers and therapeutic targets, connecting iron balance, neuroinflammation, and metabolic problems in AD. The immune profile suggests potential for immunomodulatory treatments, enhancing understanding of AD and aiding precision diagnostics and therapies.
Authors
- Wenfeng Yu (ORCID: https://orcid.org/0000-0002-0567-5643)
- Xiaorong Zeng (ORCID: https://orcid.org/0000-0001-8342-8691)
- Michelangelo Cao (ORCID: https://orcid.org/0000-0001-6249-2870)
- Zhenzhen Yi (ORCID: https://orcid.org/0000-0002-0693-9989)
- Zhenkui Ren (ORCID: https://orcid.org/0000-0003-3519-1081)
- Yijia Wang (ORCID: https://orcid.org/0000-0002-4026-9245)
- Xiaoqiong An
Institutions
- Guiyang Medical University (CN)
- Xintai People's Hospital (CN)
- Guizhou Provincial People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Cellular Neuroscience
- Published
- 2025-06-06
- DOI
- https://doi.org/10.3389/fncel.2025.1610682
- Citations
- 1
- Primary Topic
- Alzheimer's disease research and treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.16
Funders
- National Natural Science Foundation of China