Diagnostic model constructed by five EMT-related genes for renal fibrosis and reflecting the condition of immune-related cells.

ABSTRACT:

Background

Renal fibrosis is a physiological and pathological characteristic of chronic kidney disease (CKD) to end-stage renal disease. Since renal biopsy is the gold standard for evaluating renal fibrosis, there is an urgent need for additional non-invasive diagnostic biomarkers.

Methods

We used R package "limma" to screen out differently expressed genes (DEGs) based on Epithelial-mesenchymal transformation (EMT), and carried out the protein interaction network and GO, KEGG enrichment analysis of DEGs. Secondly, the least absolute shrinkage and selection operator (LASSO), random forest tree (RF), and support vector machine-recursive feature elimination (SVM-RFE) algorithms were used to identify candidate diagnostic genes. ROC curves were plotted to evaluate the clinical di

SUBMITTER: Guo Y 

PROVIDER: S-EPMC10229861 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature