ArticleScientific reports2025
Identification of ferroptosis-related genes in pediatric Crohn's disease using bioinformatics approaches.
Article in Scientific reports, 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.
- The Role of Ferroptosis in Adenoid Hypertrophy in Children with Obstructive Sleep Apnea Syndrome.Nature and science of sleep · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Ferroptosis is increasingly implicated as a critical pathogenic mechanism in inflammatory bowel disease (IBD). This study employed integrated bioinformatics approaches to identify key ferroptosis-related genes (FRGs), dysregulated signaling pathways, and immune infiltration patterns in pediatric Crohn's disease (PCD). Gene expression profiles from the GSE117993 dataset (92 PCD patients, 55 healthy controls) were analyzed to identify differentially expressed genes (DEGs). FRGs were curated from the FerrDb database. Intersection analysis revealed FRGs-DEGs, which underwent functional enrichment analysis. Protein-protein interaction (PPI) network analysis using CytoHubba identified hub genes. Immune cell infiltration was assessed via single-sample gene set enrichment analysis (ssGSEA). The diagnostic potential of hub genes was evaluated using receiver operating characteristic (ROC) curve analysis in two independent validation cohorts (GSE126124, GSE62207). Bioinformatics analysis identified 1,074 DEGs, including 21 FRGs-DEGs. Enrichment analysis implicated these FRGs-DEGs in metabolic regulation and IL-17 signaling pathway. PPI analysis identified five hub genes: PTGS2, IFNG, IL1B, IDO1, and NOS2. ssGSEA revealed significant accumulation of myeloid-derived suppressor cells (MDSCs) and neutrophils in PCD. Validation results confirmed that all hub genes were significantly differentially expressed (p < 0.01), with IL1B exhibiting the best diagnostic performance. This study reveals promising molecular targets and mechanistic insights to advance PCD diagnosis and precision therapy.
Indexed as
Identifiers
What Socratic 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 Socratic graph.