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pmid:41312366

Identification of ferroptosis-genes associated with pediatric inflammatory bowel disease bioinformatics and machine learning approaches.

Zhen Xu · Mei Yang · Chenghao Ou · Liming Mao · Zhaoxiu Liu

Frontiers in immunology · 2025 doi:10.3389/fimmu.2025.1619944

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Experiment

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Data

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title
Identification of ferroptosis-genes associated with pediatric inflammatory bowel disease bioinformatics and machine learning approaches.
doi
10.3389/fimmu.2025.1619944
pmid
41312366
authors array · 5 items
[0]
Zhen Xu
[1]
Mei Yang
[2]
Chenghao Ou
[3]
Liming Mao
[4]
Zhaoxiu Liu
journal
Frontiers in immunology
year
2025
abstract
Background: Pediatric inflammatory bowel disease (PIBD) is increasingly common, and early diagnosis remains challenging due to unclear etiology. Ferroptosis, an iron-dependent form of cell death, may be involved in intestinal inflammation, but its expression and role in PIBD are poorly understood. Objective: To identify ferroptosis-related genes as candidate biomarkers for early diagnosis of PIBD and validate their role in ferroptosis. Methods: RNA-seq data of PIBD from GEO datasets were analyzed using DESeq2, WGCNA, and functional enrichment analysis. Ferroptosis-related diagnostic genes were screened through LASSO, Random Forest, and mSVM-RFE algorithms, and validated in GSE57945 and GSE117993 datasets. In vitro experiments using NCM460 cells were performed to validate the roles of PML and CHAC1 in LPS-induced ferroptosis, including siRNA-mediated gene knockdown, western blotting of ferroptosis-related proteins (ACSL4, SLC7A11, GPX4, FTH), and measurement of lipid peroxidation (MDA levels). CIBERSORT was used to assess immune cell infiltration, and DGIdb was used to predict potential targeted drugs. A ceRNA network was further constructed to explore miRNA-lncRNA interactions regulating these genes. Results: PML and CHAC1 were identified as potential biomarkers for early diagnosis of PIBD, showing high diagnostic performance (AUC > 0.7) in training, validation, and external datasets. In vitro experiments confirmed that knockdown of PML or CHAC1 significantly alleviated LPS-induced ferroptosis in NCM460 cells, as evidenced by restored ferroptosis-related protein expression and reduced MDA accumulation. Consistent with immune infiltration results, both genes were associated with immune-related pathways, and a ceRNA network revealed their potential involvement in complex regulatory mechanisms. DGIdb predicted several candidate drugs targeting these genes. Conclusion: PML and CHAC1 are promising biomarkers for early PIBD diagnosis. These findings, supported by both bioinformatic analyses and experimental validation, may improve diagnostic accuracy and provide insights into the immune microenvironment and therapeutic strategies.
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RNA-seq data of PIBD from GEO datasets were analyzed using DESeq2, WGCNA, and functional enrichment analysis. Ferroptosis-related diagnostic genes were screened through LASSO, Random Forest, and mSVM-RFE algorithms, and validated in GSE57945 and GSE117993 datasets.
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RNA-seq data of PIBD from GEO datasets were analyzed using DESeq2, WGCNA, and functional enrichment analysis. Ferroptosis-related diagnostic genes were screened through LASSO, Random Forest, and mSVM-RFE algorithms, and validated in GSE57945 and GSE117993 datasets.
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Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/GSE93624GSE101794.
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Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/GSE93624GSE101794.
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PML and CHAC1 were identified as potential biomarkers for early diagnosis of PIBD, showing high diagnostic performance (AUC > 0.7) in training, validation, and external datasets.
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PML and CHAC1 were identified as potential biomarkers for early diagnosis of PIBD, showing high diagnostic performance (AUC > 0.7) in training, validation, and external datasets.
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PML and CHAC1 were identified as potential biomarkers for early diagnosis of PIBD, showing high diagnostic performance (AUC > 0.7) in training, validation, and external datasets.
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[225]
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sample_count
226
group_sizes
null
group_sizes_basis
null
platform
16791
taxon
Homo sapiens
title
Mucosal transcriptome of rectal biopsies in treatment-naïve, pediatric ulcerative colitits patients
resolution_checked_at
2026-11-01T20:16:08Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
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false
[3] object · 15 fields
id
data:geo:GSE117993
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE117993
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null
bytes
null
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open
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resolved
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null
reader_status
reader_required
identifier
GSE117993
version
null
note
Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/GSE93624GSE101794.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/GSE93624GSE101794.
access_statement_kind
data_availability_statement
sample_accessions array · 190 items
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sample_count
190
group_sizes
null
group_sizes_basis
null
platform
16791
taxon
Homo sapiens
title
Transcription profiles of rectal biopsies obtained during diagnostic colonoscopy for pediatric inflammatory bowel diseases.
resolution_checked_at
2026-11-01T18:46:34Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[4] object · 15 fields
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data:geo:GSE57945
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application/vnd.ncbi.geo-series+json
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE57945
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null
note
Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/GSE93624GSE101794.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/GSE93624GSE101794.
access_statement_kind
data_availability_statement
sample_accessions array · 322 items
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11154
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Core Ileal Transcriptome in Pediatric Crohn Disease
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2026-11-01T20:16:08Z
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Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/GSE93624GSE101794.
structure object · 15 fields
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245
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11154
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Homo sapiens
title
Profiling of Ileal Transcriptome in Pediatric Crohn Disease
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2026-11-01T20:16:08Z
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RNA-seq data of PIBD from GEO datasets were analyzed using DESeq2, WGCNA, and functional enrichment analysis. Ferroptosis-related diagnostic genes were screened through LASSO, Random Forest, and mSVM-RFE algorithms, and validated in GSE57945 and GSE117993 datasets.
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[0]
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Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/GSE93624GSE101794.
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The paper names GSE101794, GSE93624, GSE57945, GSE117993, GSE109142 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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[0]
validate their role in ferroptosis. Methods: RNA-seq data of PIBD from GEO datasets were analyzed
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[1] object · 11 fields
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d ferroptosis, including siRNA-mediated gene knockdown, western blotting of ferroptosis-related pro
[1]
atasets. In vitro experiments confirmed that knockdown of PML or CHAC1 significantly alleviated LPS
[2]
CHAC1 in LPS-induced ferroptosis, including siRNA-mediated gene knockdown, western blotting of
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is, including siRNA-mediated gene knockdown, western blotting of ferroptosis-related proteins (ACSL4, SLC7
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99e1195c7d6f
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[0]
Figure 5A). In a 4-week DSS-induced colitis mouse model, DSS-treated mice displayed shortened colon
[1]
Figure 5A). In a 4-week DSS-induced colitis mouse model, DSS-treated mice displayed shortened
[2]
05). (G) mRNA expression of PML and CHAC1 in mouse colon tissues. (H, I) Immunohistochemical st
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paper_text_order:4110
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[0]
well as PML and CHAC1 (p < 0.01; Figure 5G). Immunohistochemistry confirmed elevated protein expression of PML
[1]
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paper_text_order:4512
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RNA-seq data of PIBD from GEO datasets were analyzed using DESeq2, WGCNA, and functional enrichment analysis. Ferroptosis-related diagnostic genes were screened through LASSO, Random Forest, and mSVM-RFE algorithms, and validated in GSE57945 and GSE117993 datasets.
order_basis
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assay:6
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41312366", "kind": "science-record", "revision": 4, "content_hash": "sha256:eef347bcfae03615b1057f7584857aed1102e2ca34f38442bbb938f86111dcfc", "created_at": "2026-11-01T20:31:20Z", "updated_at": "2026-11-01T22:57:32Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of ferroptosis-genes associated with pediatric inflammatory bowel disease bioinformatics and machine learning approaches.", "doi": "10.3389/fimmu.2025.1619944", "pmid": "41312366", "authors": ["Zhen Xu", "Mei Yang", "Chenghao Ou", "Liming Mao", "Zhaoxiu Liu"], "journal": "Frontiers in immunology", "year": 2025, "abstract": "Background: Pediatric inflammatory bowel disease (PIBD) is increasingly common, and early diagnosis remains challenging due to unclear etiology. Ferroptosis, an iron-dependent form of cell death, may be involved in intestinal inflammation, but its expression and role in PIBD are poorly understood.\nObjective: To identify ferroptosis-related genes as candidate biomarkers for early diagnosis of PIBD and validate their role in ferroptosis.\nMethods: RNA-seq data of PIBD from GEO datasets were analyzed using DESeq2, WGCNA, and functional enrichment analysis. Ferroptosis-related diagnostic genes were screened through LASSO, Random Forest, and mSVM-RFE algorithms, and validated in GSE57945 and GSE117993 datasets. In vitro experiments using NCM460 cells were performed to validate the roles of PML and CHAC1 in LPS-induced ferroptosis, including siRNA-mediated gene knockdown, western blotting of ferroptosis-related proteins (ACSL4, SLC7A11, GPX4, FTH), and measurement of lipid peroxidation (MDA levels). CIBERSORT was used to assess immune cell infiltration, and DGIdb was used to predict potential targeted drugs. A ceRNA network was further constructed to explore miRNA-lncRNA interactions regulating these genes.\nResults: PML and CHAC1 were identified as potential biomarkers for early diagnosis of PIBD, showing high diagnostic performance (AUC > 0.7) in training, validation, and external datasets. In vitro experiments confirmed that knockdown of PML or CHAC1 significantly alleviated LPS-induced ferroptosis in NCM460 cells, as evidenced by restored ferroptosis-related protein expression and reduced MDA accumulation. Consistent with immune infiltration results, both genes were associated with immune-related pathways, and a ceRNA network revealed their potential involvement in complex regulatory mechanisms. DGIdb predicted several candidate drugs targeting these genes.\nConclusion: PML and CHAC1 are promising biomarkers for early PIBD diagnosis. These findings, supported by both bioinformatic analyses and experimental validation, may improve diagnostic accuracy and provide insights into the immune microenvironment and therapeutic strategies.", "claims": [{"id": "claim-method", "statement": "RNA-seq data of PIBD from GEO datasets were analyzed using DESeq2, WGCNA, and functional enrichment analysis. Ferroptosis-related diagnostic genes were screened through LASSO, Random Forest, and mSVM-RFE algorithms, and validated in GSE57945 and GSE117993 datasets.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41312366", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "RNA-seq data of PIBD from GEO datasets were analyzed using DESeq2, WGCNA, and functional enrichment analysis. Ferroptosis-related diagnostic genes were screened through LASSO, Random Forest, and mSVM-RFE algorithms, and validated in GSE57945 and GSE117993 datasets."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/GSE93624GSE101794.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41312366", "locator": "sections[35] \"Data availability statement\" paragraph 2", "quote": "Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/GSE93624GSE101794."}], "state": "complete"}, {"id": "claim-target-result", "statement": "PML and CHAC1 were identified as potential biomarkers for early diagnosis of PIBD, showing high diagnostic performance (AUC > 0.7) in training, validation, and external datasets.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:41312366", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "PML and CHAC1 were identified as potential biomarkers for early diagnosis of PIBD, showing high diagnostic performance (AUC > 0.7) in training, validation, and external datasets."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "PML and CHAC1 were identified as potential biomarkers for early diagnosis of PIBD, showing high diagnostic performance (AUC > 0.7) in training, validation, and external datasets.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:41312366"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE101794"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE101794"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:41312366", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.3389/fimmu.2025.1619944", "sha256": "sha256:605d39858112ae824643d3d154a1fd11c9022d0d1180c115a71a3c7f6831cbd7", "bytes": 69260, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.3389/fimmu.2025.1619944", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC12647037", "source": "europe_pmc_fulltext", "coverage": "whole_body", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE101794", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE101794", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE101794", "version": null, "note": "Publicly available datasets were analyzed in this study. This data can be found here: https://www.ncbi.nlm.nih.gov/geo/GSE93624GSE101794.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", "access_statement_verbatim": "Publicly available datasets were analyzed in this study. 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Methods: RNA-seq data of PIBD from GEO datasets were analyzed"], "order_basis": "paper_text_order:541", "id": "assay:1"}, {"role": "data_generation", "definition_id": "transfection", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["d ferroptosis, including siRNA-mediated gene knockdown, western blotting of ferroptosis-related pro", "atasets. In vitro experiments confirmed that knockdown of PML or CHAC1 significantly alleviated LPS", "CHAC1 in LPS-induced ferroptosis, including siRNA-mediated gene knockdown, western blotting of"], "order_basis": "paper_text_order:940", "id": "assay:2"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["is, including siRNA-mediated gene knockdown, western blotting of ferroptosis-related proteins (ACSL4, SLC7"], "order_basis": "paper_text_order:970", "id": "assay:3"}, {"role": "data_generation", "definition_id": "animal_model", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["Figure 5A). In a 4-week DSS-induced colitis mouse model, DSS-treated mice displayed shortened colon", "Figure 5A). In a 4-week DSS-induced colitis mouse model, DSS-treated mice displayed shortened", "05). (G) mRNA expression of PML and CHAC1 in mouse colon tissues. (H, I) Immunohistochemical st"], "order_basis": "paper_text_order:4110", "id": "assay:4"}, {"role": "data_generation", "definition_id": "ihc", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["well as PML and CHAC1 (p < 0.01; Figure 5G). Immunohistochemistry confirmed elevated protein expression of PML", "PML and CHAC1 in mouse colon tissues. (H, I) Immunohistochemical staining and quantification (*p < 0.05; **p"], "order_basis": "paper_text_order:4512", "id": "assay:5"}, {"role": "analysis", "definition_id": "differential_expression", "definition_version": "f2132e96ae6c7a4e", "definition_digest": null, "required_operations": ["normalise_counts", "differential_expression_fit", "fdr_bh"], "support_state": "supported", "source_hashes": {"dsl_catalogue": "f2132e96ae6c7a4e"}, "confidence": 1.0, "evidence": ["RNA-seq data of PIBD from GEO datasets were analyzed using DESeq2, WGCNA, and functional enrichment analysis. Ferroptosis-related diagnostic genes were screened through LASSO, Random Forest, and mSVM-RFE algorithms, and validated in GSE57945 and GSE117993 datasets."], "order_basis": "consumes_earlier_output", "id": "assay:6"}]}