Determining IFI44 as a key lupus nephritis's biomarker through bioinformatics and immunohistochemistry.

ABSTRACT:

Background

Lupus nephritis (LN) emerges as a severe complication of systemic lupus erythematosus (SLE), significantly affecting patient survival. Despite improvements in treatment reducing LN's morbidity and mortality, existing therapies remain suboptimal, emphasizing the necessity for early detection to improve patient outcomes.

Methods

This study employs bioinformatics and machine learning to identify and validate potential LN biomarkers using immunohistochemistry (IHC). It explores the relationship between these biomarkers and the clinical and pathological characteristics of LN, assessing their prognostic significance. The research provides deeper mechanistic insights by employing Gene Set Enrichment Analysis (GSEA), Gene Ontology (GO), and Kyoto Encyclopedia of Genes and

SUBMITTER: Tan Y 

PROVIDER: S-EPMC11921169 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature