An analysis of gene expression profiles through machine learning uncovers the new diagnostic signature for diabetic foot ulcers
This research highlights <i>DCT</i>, <i>PMEL</i>, and <i>KIT</i> as diagnostic biomarkers for DFUs, which are linked to melanin production and the MAPK/PI3K-Akt signaling pathways.
Authors
- Wenhai Wang (ORCID: https://orcid.org/0000-0003-3707-6546)
- Ning Xiao (ORCID: https://orcid.org/0000-0001-6181-2684)
- Yingnan Li (ORCID: https://orcid.org/0009-0005-6353-9438)
- J. Wang (ORCID: https://orcid.org/0000-0002-6636-8081)
- Fengjiao Li (ORCID: https://orcid.org/0000-0002-6153-7747)
- Zhuoqun Wang (ORCID: https://orcid.org/0000-0001-8633-0235)
Institutions
- People 's Hospital of Jilin Province (CN)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-06-24
- DOI
- https://doi.org/10.3389/fgene.2025.1620749
- Primary Topic
- Diabetic Foot Ulcer Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00