Identification of biomarkers related to iron death in diabetic kidney disease based on machine learning algorithms
Bibliographic Data
| ID | 6415089 |
|---|---|
| Authors | Wen Xiong (0009-0001-8238-0160, Department of Nephrology, First Affiliated Hospital of Jishou University), Hongxia Liu (0000-0002-0170-4048, Department of Cardiovascular Medicine, First Affiliated Hospital of Jishou University), Bo Xiang (0000-0002-0919-6121, Department of Clinical Laboratory, First Affiliated Hospital of Jishou University), Guangyu Shang (Department of Nephrology, First Affiliated Hospital of Jishou University) |
| Year | 2025 |
| Volume | 52 |
| Issue | 1 |
| Pages | 2477248-2477248 |
| Publication date | 2025-04-02 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Annals of Human Biology (JOURNAL) |
| Journal identifiers | ISSN: 0301-4460 • E-ISSN: 1464-5033 |
| Publisher | Informa (PUBLISHER • GB) |
| DOI | 10.1080/03014460.2025.2477248 |
| PMID | 40172091 |
| OpenAlex | W4409119605 |
| Language | EN |
| References cited | 24 |
This study successfully identified diagnosis-related ferroptosis genes in DKD and constructed an accurate diagnostic model. These findings enhance our understanding of the role of ferroptosis in DKD and may contribute to the development of new diagnostic and therapeutic approaches
Algorithm · Bioinformatics · Biology · Diabetes mellitus · Disease · Identification (biology · Logistic regression · Machine learning · Pathology · Cancer-related molecular mechanisms research · Cancer, Lipids, and Metabolism · Computer Science · Ferroptosis and cancer prognosis · Medicine · Internal Medicine
| Citation velocity | historical |
|---|---|
| Highly cited | No |