Diverse regulated cell death patterns and immune traits in kidney allograft with fibrosis: a prediction of renal allograft failure based on machine learning, single-nucleus RNA sequencing and molecular docking
<b>Conclusions:</b> In summary, this study explored the activation of nine RCD pathways and their relationships with immune traits, identified potential RCD-related hub genes associated with renal fibrosis, and highlighted potential therapeutic targets for renal allograft fibrosis.
Authors
- Xuemeng Qiu (ORCID: https://orcid.org/0000-0003-0862-9164)
- Jiandong Zhang (ORCID: https://orcid.org/0000-0002-3042-2381)
- Jiyue Wu (ORCID: https://orcid.org/0000-0001-8715-8756)
- Qing Bi (ORCID: https://orcid.org/0000-0002-5472-1212)
- Zejia Sun (ORCID: https://orcid.org/0000-0003-1079-3019)
- Yifei Zhang (ORCID: https://orcid.org/0009-0003-5299-828X)
- Wei Wang (ORCID: https://orcid.org/0000-0003-2642-3338)
- Yuqing Li (ORCID: https://orcid.org/0000-0002-9058-3216)
Institutions
- Capital Medical University (CN)
- Beijing Chao-Yang Hospital, Capital Medical University (CN)
Publication Details
- Journal
- Renal Failure
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1080/0886022x.2024.2435487
- Citations
- 5
- Primary Topic
- Renal Transplantation Outcomes and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.54
Funders
- National Natural Science Foundation of China