Integrative bioinformatics and machine learning identify iro…

Emerging


2
Citations
47
Refs
2025
Year
Search Works
Work Details
MENU
0

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…

2

Citations

47

References

7

Authors

1.29

FWCI

Citations by Year
Last 2 years
Topics
Keywords
UN Sustainable Development Goals
1 SDGs
Authors & Affiliations
7 authors
#AuthorInstitutionsORCID
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 —

Data: OpenAlex