Identification and validation of energy metabolism-related genes in diabetic kidney disease through integrated bioinformatics and in vivo analysis
The genes CD36, IGF1, LPL, and UCP2 represent potential energy metabolism-related biomarkers with possible applications in the diagnosis and treatment of DKD.
Authors
- Sheng-Ze Wu (ORCID: https://orcid.org/0009-0003-4153-5562)
- Zhe Hong (ORCID: https://orcid.org/0000-0001-5942-4893)
- Hui Jiang (ORCID: https://orcid.org/0000-0003-1870-1625)
- S. C. Lin
- Ming-Hui Geng
- Jin-Xiu Deng
- Chun-Hua Guo
- Fu-Zhen Wang
- Jin-Feng Shen
- Yue-Mei Zhan
Institutions
- Fujian Medical University (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
Publication Details
- Journal
- Hereditas
- Published
- 2026-01-28
- DOI
- https://doi.org/10.1186/s41065-026-00632-7
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 0.00