Deciphering the impact of senescence in kidney transplant rejection: An integrative machine learning and multi-omics analysis via bulk and single-cell RNA sequencing
Our comprehensive analysis underscores the pivotal role of senescence in KTx rejection, highlighting the potential of SRGs as biomarkers for diagnosing rejection and predicting graft survival, which may enhance personalized treatment strategies and improve transplant outcomes.
Authors
- Xiaopei Shen (ORCID: https://orcid.org/0000-0002-0004-4228)
- 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)
- Feilong Zhang (ORCID: https://orcid.org/0000-0001-6243-7388)
- Wei Wang (ORCID: https://orcid.org/0000-0003-2642-3338)
Institutions
- Capital Medical University (CN)
- Beijing Chao-Yang Hospital, Capital Medical University (CN)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1371/journal.pone.0312272
- Citations
- 4
- Primary Topic
- Renal Transplantation Outcomes and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 2.03