Machine learning combined multi-omics analysis to explore key oxidative stress features in systemic lupus erythematosus

Machine learning combined multi-omics analysis to explore key oxidative stress features in systemic lupus erythematosus

ObjectiveMetabolic dysregulation and redox imbalance in immune cells are key drivers of systemic lupus erythematosus (SLE) pathogenesis. This study explores critical oxidative stress (OS) features and their interrelationships in SLE pathogenesis.MethodsThree transcriptomic datasets from the Gene Exp...

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Bibliographic Details
Main Authors: Hongwei Zhou, Xiaoqing Li, Yanyu Zhang, Feng Wei, Zhiyu Liu, Yan Zhao, Xubo Zhuang, Xia Liu, Haizhou Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Immunology
Subjects:
systemic lupus erythematosus
oxidative stress
metabolomics
transcriptomics
single-cell transcriptomic
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2025.1567466/full
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