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Article

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

20 Jun 2025

Abstract excerpt

Objective: Metabolic 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. Methods: Three transcriptomic datasets from the Gene Expression Omnibus (GEO) were analyzed to identify SLE- and OS-associated pathways via Gene Set Variation Analysis...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 40625749
DOI: 10.3389/fimmu.2025.1567466

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