Identification of Renal Ischemia-Reperfusion Injury Subtypes and Predictive Model for Graft Loss after Kidney Transplantation Based on Programmed Cell Death-Related Genes
Our study explored the comprehensive features of PCD patterns in transplanted kidney samples post-IRI. The prediction model shows great promise in forecasting graft loss and could aid in risk stratification in patients following kidney transplantation.
Authors
- Zehua Li (ORCID: https://orcid.org/0000-0001-6342-3324)
- Xizi Zheng (ORCID: https://orcid.org/0009-0004-4756-5233)
- Yuan Ma
- Ying Chen (ORCID: https://orcid.org/0000-0001-6303-5858)
- Xintong Liu (ORCID: https://orcid.org/0000-0002-4034-2692)
- Li Yang (ORCID: https://orcid.org/0000-0002-2528-5087)
- Qingqing Zhou (ORCID: https://orcid.org/0000-0001-9224-0914)
- Jing Ji
Institutions
- Shanxi Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking University (CN)
- Ministry of Education (RO)
- Peking University First Hospital (CN)
- Second Hospital of Shanxi Medical University (CN)
Publication Details
- Journal
- Kidney Diseases
- Published
- 2024-09-05
- DOI
- https://doi.org/10.1159/000540158
- Citations
- 2
- Primary Topic
- Renal Transplantation Outcomes and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.02