Characterizing hub biomarkers for post-transplant renal fibrosis and unveiling their immunological functions through RNA sequencing and advanced machine learning techniques
Abstract Background Kidney transplantation stands out as the most effective renal replacement therapy for patients grappling with end-stage renal disease. However, post-transplant renal fibrosis is a prevalent and irreversible consequence, imposing a substantial clinical burden. Unfortunately, the c...
Main Authors: | Xinhao Niu, Cuidi Xu, Yin Celeste Cheuk, Xiaoqing Xu, Lifei Liang, Pingbao Zhang, Ruiming Rong |
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Format: | Article |
Language: | English |
Published: |
BMC
2024-02-01
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Series: | Journal of Translational Medicine |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12967-024-04971-9 |
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