Diagnostic Biomarkers and Targeted Drug Prediction for Acute Kidney Injury: A Computational Approach
To conclude, four AKI biomarkers with high diagnostic value were screened by integrating multiple computational methods, revealing a new perspective on the molecular mechanism of AKI. The results provided a new theoretical basis for achieving early precision diagnosis and individualized treatment of AKI.
Authors
- Liuyin Zhou
- Ruoqing Li (ORCID: https://orcid.org/0000-0001-6706-7339)
- Jiayang Gao (ORCID: https://orcid.org/0000-0002-1101-4948)
- Yi Jiang (ORCID: https://orcid.org/0000-0001-5344-0470)
- Liping Pan (ORCID: https://orcid.org/0000-0002-5567-0832)
- Tingting Li (ORCID: https://orcid.org/0000-0002-0676-1340)
Institutions
- Chongqing University (CN)
- Chongqing Emergency Medical Center (CN)
- Shanghai Ocean University (CN)
Publication Details
- Journal
- Endocrine Metabolic & Immune Disorders - Drug Targets
- Published
- 2025-08-04
- DOI
- https://doi.org/10.2174/0118715303417142250724042300
- Citations
- 1
- Primary Topic
- Acute Kidney Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 1.43