Identification and validation of key autophagy-related genes in lupus nephritis by bioinformatics and machine learning.

ABSTRACT:

Introduction

Lupus nephritis (LN) is one of the most frequent and serious organic manifestations of systemic lupus erythematosus (SLE). Autophagy, a new form of programmed cell death, has been implicated in a variety of renal diseases, but the relationship between autophagy and LN remains unelucidated.

Methods

We analyzed differentially expressed genes (DEGs) in kidney tissues from 14 LN patients and 7 normal controls using the GSE112943 dataset. Key modules and their contained genes were identified utilizing weighted gene co-expression network analysis (WGCNA). Differentially expressed autophagy-related genes (DE-ARGs) among DEGs, key module genes and autophagy-related genes (ARGs) were obtained by venn plot, and subjected to protein-protein interaction network construction

SUBMITTER: Zhang S 

PROVIDER: S-EPMC11771862 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature