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pmid:38229693

Use of Machine Learning for the Identification and Validation of Immunogenic Cell Death Biomarkers and Immunophenotypes in Coronary Artery Disease.

Yan-Jiao Zhang · Chao Huang · Xiu-Guang Zu · Jin-Ming Liu · Yong-Jun Li

Journal of inflammation research · 2024 doi:10.2147/JIR.S439315

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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pmid:38229693
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title
Use of Machine Learning for the Identification and Validation of Immunogenic Cell Death Biomarkers and Immunophenotypes in Coronary Artery Disease.
doi
10.2147/JIR.S439315
pmid
38229693
authors array · 5 items
[0]
Yan-Jiao Zhang
[1]
Chao Huang
[2]
Xiu-Guang Zu
[3]
Jin-Ming Liu
[4]
Yong-Jun Li
journal
Journal of inflammation research
year
2024
abstract
Objective: Immunogenic cell death (ICD) is part of the immune system's response to coronary artery disease (CAD). In this study, we bioinformatically evaluated the diagnostic and therapeutic utility of immunogenic cell death-related genes (IRGs) and their relationship with immune infiltration features in CAD. Methods: We acquired the CAD-related datasets GSE12288, GSE71226, and GSE120521 from the Gene Expression Omnibus (GEO) database and the IRGs from the GeneCards database. After identifying the immune cell death-related differentially expressed genes (IRDEGs), we developed a risk model and detected immune subtypes in CAD. IRDEGs were identified using least absolute shrinkage and selection operator (LASSO) analysis. Using a nomogram, we confirmed that both the LASSO model and ICD signature genes had good diagnostic performance. Results: There was a high degree of coincidence and immune representativeness between two CAD groups based on characteristic genes and hub genes. Hub genes were associated with the interaction of neuroactive ligands with receptors and cell adhesion receptors. The two groups differed in terms of adipogenesis, allograft rejection, and apoptosis, as well as the ICD signature and hub gene expression levels. The two CAD-ICD subtypes differed in terms of immune infiltration. Conclusion: Quantitative real-time PCR (qRT-PCR) correlated CAD with the expression of OAS3, ITGAV, and PIBF1. The ICD signature genes are candidate biomarkers and reference standards for immune grouping in CAD and can be beneficial in precise immune-targeted therapy.
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We used the algorithm in the R package UMAP32 to evaluate the genetic characteristics of patients with CAD and categorize them into different subtypes.
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We used the algorithm in the R package UMAP32 to evaluate the genetic characteristics of patients with CAD and categorize them into different subtypes.
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The original contributions presented in the study are included in the article/Supplementary Files, further inquiries can be directed to the corresponding author.
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After identifying the immune cell death-related differentially expressed genes (IRDEGs), we developed a risk model and detected immune subtypes in CAD.
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After identifying the immune cell death-related differentially expressed genes (IRDEGs), we developed a risk model and detected immune subtypes in CAD.
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After identifying the immune cell death-related differentially expressed genes (IRDEGs), we developed a risk model and detected immune subtypes in CAD.
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2cb3e42f047d2ecf
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ba34b49490d9bfaf
lineage object · 4 fields
parent_id
pmid:38229693
parent_hash
sha256:97098d6da0e6ede51ea761eb1b0990ee5953333f0dc667bd6811cc7efe1a3616
fork_of
null
gaps array · 13 items
[0]
asset:data:geo:GSE120521 licence not read
[1]
asset:data:geo:GSE120521 not downloaded
[2]
asset:data:geo:GSE12288 licence not read
[3]
asset:data:geo:GSE12288 not downloaded
[4]
asset:data:geo:GSE71226 licence not read
[5]
asset:data:geo:GSE71226 not downloaded
[6]
execution.not_run
[7]
method.group_comparison_wilcoxon
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method.reader_named_unmapped
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review.human_critique
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review.independent_reader
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review.machine_critique
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step:run_analysis blocked on method:group_comparison_wilcoxon
assays array · 3 items
[0] object · 11 fields
role
data_generation
definition_id
apoptosis_assay
definition_version
99e1195c7d6f
required_operations array · 0 items
support_state
partial
source_hashes object · 1 field
assay_lexicon
99e1195c7d6f
confidence
0.93
evidence array · 2 items
[0]
ms of adipogenesis, allograft rejection, and apoptosis, as well as the ICD signature and hub gene e
[1]
, hallmark allograft rejection, and hallmark apoptosis were significantly activated in cluster 1 (P
order_basis
paper_text_order:1280
id
assay:1
[1] object · 11 fields
role
data_generation
definition_version
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required_operations array · 0 items
support_state
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source_hashes object · 1 field
assay_lexicon
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confidence
0.93
evidence array · 1 item
[0]
mmune infiltration. Conclusion: Quantitative real-time PCR (qRT-PCR) correlated CAD with the expression
order_basis
paper_text_order:1444
id
assay:2
[2] object · 11 fields
role
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group_comparison
definition_version
f2132e96ae6c7a4e
required_operations array · 0 items
support_state
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source_hashes object · 1 field
dsl_catalogue
f2132e96ae6c7a4e
evidence array · 1 item
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Wilcoxon
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id
assay:3
Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38229693", "kind": "science-record", "revision": 3, "content_hash": "sha256:ff5f099f4cbcf1e420c0600c92723ec2c7132eb21dfd3b560ce24599f009d49f", "created_at": "2026-11-01T19:20:08Z", "updated_at": "2026-11-01T22:11:03Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Use of Machine Learning for the Identification and Validation of Immunogenic Cell Death Biomarkers and Immunophenotypes in Coronary Artery Disease.", "doi": "10.2147/JIR.S439315", "pmid": "38229693", "authors": ["Yan-Jiao Zhang", "Chao Huang", "Xiu-Guang Zu", "Jin-Ming Liu", "Yong-Jun Li"], "journal": "Journal of inflammation research", "year": 2024, "abstract": "Objective: Immunogenic cell death (ICD) is part of the immune system's response to coronary artery disease (CAD). In this study, we bioinformatically evaluated the diagnostic and therapeutic utility of immunogenic cell death-related genes (IRGs) and their relationship with immune infiltration features in CAD.\nMethods: We acquired the CAD-related datasets GSE12288, GSE71226, and GSE120521 from the Gene Expression Omnibus (GEO) database and the IRGs from the GeneCards database. After identifying the immune cell death-related differentially expressed genes (IRDEGs), we developed a risk model and detected immune subtypes in CAD. IRDEGs were identified using least absolute shrinkage and selection operator (LASSO) analysis. Using a nomogram, we confirmed that both the LASSO model and ICD signature genes had good diagnostic performance.\nResults: There was a high degree of coincidence and immune representativeness between two CAD groups based on characteristic genes and hub genes. Hub genes were associated with the interaction of neuroactive ligands with receptors and cell adhesion receptors. The two groups differed in terms of adipogenesis, allograft rejection, and apoptosis, as well as the ICD signature and hub gene expression levels. The two CAD-ICD subtypes differed in terms of immune infiltration.\nConclusion: Quantitative real-time PCR (qRT-PCR) correlated CAD with the expression of OAS3, ITGAV, and PIBF1. 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This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE120521"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "blocked", "blocked_on": "method:group_comparison_wilcoxon", "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:GSE120521"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": ["step:run_analysis blocked on method:group_comparison_wilcoxon"]}, "data": {"state": "partial", "assets": [{"id": "source:pmid:38229693", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": 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