Lupus & antiphospholipid syndrome
Investigation of ferroptosis-associated molecular subtypes and immunological characteristics in lupus nephritis based on artificial neural network learning
Authors' conclusion
The classification of ferroptosis subtypes and the establishment of a protective model may form a foundation for the personalized treatment of LN patients.
Study context
- Population
- Lupus nephritis (LN) patients; glomerular tissues from LN patients and controls
- Comparison
- Two ferroptosis subtypes of LN; high- vs low-NeuraLN
- Outcome
- Ferroptosis-related molecular subtypes and NeuraLN protective model in LN
Methodological detailsbioinformatics analysis, artificial neural network machine learning, immunohistochemical validation
- Bioinformatics analysis
- Artificial neural network machine learning
- Immunohistochemical validation
Main finding
As reported in the abstract
Differentially expressed ferroptosis-related genes (FRGs) identified, most significantly correlated
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NeuraLN-related protective model based on nine subtype-specific genes, robustly predictive in LN
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Original publication
Investigation of ferroptosis-associated molecular subtypes and immunological characteristics in lupus nephritis based on artificial neural network learning. Arthritis Res Ther. Published 3 July 2024. doi:10.
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