Characterizing hub biomarkers for post-transplant renal fibrosis and unveiling their immunological functions through RNA sequencing and advanced machine learning techniques

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...

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Bibliographic Details
Main Authors: Xinhao Niu, Cuidi Xu, Yin Celeste Cheuk, Xiaoqing Xu, Lifei Liang, Pingbao Zhang, Ruiming Rong
Format: Article
Language:English
Published: BMC 2024-02-01
Series:Journal of Translational Medicine
Subjects:
Kidney transplant
Renal fibrosis
Immune microenvironment
Biomarkers
WGCNA
Online Access:https://doi.org/10.1186/s12967-024-04971-9

Internet

https://doi.org/10.1186/s12967-024-04971-9

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