Investigating the metabolic reprogramming mechanisms in diabetic nephropathy: a comprehensive analysis using bioinformatics and machine learning
Through bioinformatics analysis, a total of six potential MRRDEGs were identified, among which <i>CUEDC2</i>, <i>NAMPT</i>, <i>CXCR2</i> could serve as potential biomarkers.
Authors
- Yi‐Wei Chen (ORCID: https://orcid.org/0000-0003-3946-7540)
- Si Yi Liu
- Shan He (ORCID: https://orcid.org/0000-0002-0196-7278)
- Qin Chen (ORCID: https://orcid.org/0000-0003-0278-6740)
- Jian Ye (ORCID: https://orcid.org/0000-0003-1939-7573)
- Yu Wang (ORCID: https://orcid.org/0000-0002-6951-2835)
Institutions
- Jiujiang University (CN)
- Nanchang University (CN)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2025-08-29
- DOI
- https://doi.org/10.3389/fcell.2025.1630708
- Citations
- 1
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 1.43