Identification of ferroptosis-genes associated with pediatric inflammatory bowel disease bioinformatics and machine learning approaches
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View abstract on PubMed
Summary
This summary is machine-generated.New biomarkers PML and CHAC1 show promise for early pediatric inflammatory bowel disease (PIBD) diagnosis. These ferroptosis-related genes could improve diagnostic accuracy and inform new therapeutic strategies for PIBD.
Area Of Science
- Gastroenterology
- Cell Biology
- Biomarker Discovery
Background
- Pediatric inflammatory bowel disease (PIBD) is a growing concern with diagnostic challenges.
- The role of ferroptosis, an iron-dependent cell death, in PIBD pathogenesis is not well understood.
Purpose Of The Study
- Identify ferroptosis-related genes for early PIBD diagnosis.
- Validate the role of these genes in ferroptosis.
Main Methods
- Analyzed RNA-seq data from PIBD patients using bioinformatics tools (DESeq2, WGCNA).
- Screened diagnostic genes via machine learning algorithms (LASSO, Random Forest, mSVM-RFE).
- Validated findings in vitro using NCM460 cells and in vivo datasets, assessing ferroptosis markers and immune infiltration.
Main Results
- PML and CHAC1 identified as high-performance biomarkers for PIBD diagnosis (AUC > 0.7).
- Knockdown of PML or CHAC1 reduced ferroptosis in LPS-treated cells.
- Genes associated with immune pathways; ceRNA network revealed regulatory roles.
Conclusions
- PML and CHAC1 are promising early diagnostic biomarkers for PIBD.
- Findings support improved diagnostic accuracy and offer insights into PIBD's immune microenvironment and potential therapies.
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