ArticleJournal of inflammation research2025
Comprehensive Analysis of Ferroptosis Markers in Lupus Nephritis Based on Bioinformatics Analysis and Experimental Validation.
Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Lupus nephritis (LN) is a common and severe complication of systemic lupus erythematosus (SLE). Ferroptosis is a form of iron-dependent cell death induced by lipid peroxidation. However, its specific role in LN remains unclear. Methods: We utilized the GSE32591 obtained from the GEO database to identify differentially expressed genes (DEGs) and conduct enrichment analysis. Differentially expressed ferroptosis-related genes of LN (LNDE-FRGs) were derived by taking the intersection of DEGs and ferroptosis-related genes (FRGs). Three machine learning algorithms were applied to screen candidate key LNDE-FRGs. The expression of the key LNDE-FRGs was validated using external validation cohorts and clinical samples. The diagnostic value of the key LNDE-FRGs was then assessed by receiver operating characteristic curve (ROC) analysis. In addition, we investigated the correlation between the key genes and glomerular filtration rate (GFR), urinary protein and serum creatinine (Scr) in LN patients via the Nephroseq V5 database. Subsequently, we performed immune infiltrating cell analysis of LN kidney tissue using Cibersort. Finally, we validated the expression of the key gene CYBB by clinical samples and in vivo experiments. Results: A total of 377 DEGs and 20 LNDE-FRGs were identified. Machine learning algorithms selected four candidate key LNDE-FRGs ( Conclusion:
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.