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pmid:37051233

Analysis of necroptosis-related prognostic genes and immune infiltration in idiopathic pulmonary fibrosis.

Hongzuo Chen · Zhenkun Xia · Bei Qing · Wei Wang · Linguo Gu · Ying Chen · Juan Wang · Yunchang Yuan

Frontiers in immunology · 2023 doi:10.3389/fimmu.2023.1119139

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title
Analysis of necroptosis-related prognostic genes and immune infiltration in idiopathic pulmonary fibrosis.
doi
10.3389/fimmu.2023.1119139
pmid
37051233
authors array · 8 items
[0]
Hongzuo Chen
[1]
Zhenkun Xia
[2]
Bei Qing
[3]
Wei Wang
[4]
Linguo Gu
[5]
Ying Chen
[6]
Juan Wang
[7]
Yunchang Yuan
journal
Frontiers in immunology
year
2023
abstract
Background: IPF is an undetermined, progressive lung disease. Necroptosis is a type of programmed apoptosis, which involved in the pathogenesis of lung diseases like COPD and ARDS. However, necroptosis in IPF have not been adequately studied. This study aimed to investigate the necroptosis in IPF and the relationship between necroptosis and immune infiltration, to construct a prognostic prediction model of IPF based on necroptosis-related genes. Methods: GSE110147 was downloaded from the GEO database and utilized to analyze the expression of necroptosis-related differentially expressed genes (NRDEGs). Then NRDEGs were used to construct protein-protein interaction (PPI) networks in the STRING database, and Cytoscape software was used to identify and visualize hub genes. Necroptosis-related prognosticgenes were explored in GSE70866, and a prognostic prediction model was constructed. The ImmuCellAI algorithm was utilized to analyze the landscape of immune infiltration in GSE110147. The single-cell RNA sequencing dataset GSE122960 was used to explore the association between necroptosis and type II alveolar epithelial cells (AT II) in IPF. The GSE213001 and GSE93606 were used for external validation. The expression of prognostic genes was quantified using RT-qPCRin the IPF A549 cell model, and was further verified by western blotting in the bleomycin-induced pulmonary fibrosis mouse model. Results: It was observed that necroptosis-related signaling pathways were abundantly enriched in IPF. 29 NRDEGs were screened, of which 12 showed consistent expression trends in GSE213001. Spearman correlation analysis showed that the expression of NRDEGs was positively correlated with the infiltration of proinflammatory immune cells, and negatively correlated with the infiltration of anti-inflammatory immune cells. NRDEGs, including MLKL, were highly expressed in AT II of fibrotic lung tissue. A necroptosis-related prediction model was constructed based on 4 NRDEGsby the cox stepwise regression. In the validation dataset GSE93606, the prognostic prediction model showed good applicability. The verification results of RT-qPCR and western blotting showed the reliability of most of the conclusions. Conclusions: This study revealed that necroptosis existed in IPF and might occur in AT II. Necroptosis was associated with immune infiltration, suggesting that necroptosis of AT II might involve in IPF by activating immune infiltration and immune response.
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Subsequently, the Cox stepwise regression method was used to screen the important genes from hub genes and establish a necroptosis-related prediction model.
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sections[8] "Identification of prognostic hub genes and construction of prediction model" paragraph 2
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Subsequently, the Cox stepwise regression method was used to screen the important genes from hub genes and establish a necroptosis-related prediction model.
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
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A necroptosis-related prediction model was constructed based on 4 NRDEGs by the cox stepwise regression.
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A necroptosis-related prediction model was constructed based on 4 NRDEGsby the cox stepwise regression.
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A necroptosis-related prediction model was constructed based on 4 NRDEGs by the cox stepwise regression.
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taxon
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title
BAL cell gene expression is predictive of Mortality in Idiopathic Pulmonary Fibrosis and enriched for Genes of Airway Basal Cells (II)
resolution_checked_at
2026-11-01T17:30:42Z
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The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.
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title
Host-Microbial interactions in Idiopathic Pulmonary Fibrosis
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2026-11-01T17:30:42Z
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Subsequently, the Cox stepwise regression method was used to screen the important genes from hub genes and establish a necroptosis-related prediction model.
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disease. Necroptosis is a type of programmed apoptosis, which involved in the pathogenesis of lung
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ape of immune infiltration in GSE110147. The single-cell RNA sequencing dataset GSE122960 was used to explore the as
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Complete file
{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37051233", "kind": "science-record", "revision": 3, "content_hash": "sha256:c1a4ea7f499448f6f9d3578fbb1db3f7cd0f9c95a59e2b1eb034a93002c659fd", "created_at": "2026-11-01T19:01:42Z", "updated_at": "2026-11-01T22:09:14Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Analysis of necroptosis-related prognostic genes and immune infiltration in idiopathic pulmonary fibrosis.", "doi": "10.3389/fimmu.2023.1119139", "pmid": "37051233", "authors": ["Hongzuo Chen", "Zhenkun Xia", "Bei Qing", "Wei Wang", "Linguo Gu", "Ying Chen", "Juan Wang", "Yunchang Yuan"], "journal": "Frontiers in immunology", "year": 2023, "abstract": "Background: IPF is an undetermined, progressive lung disease. Necroptosis is a type of programmed apoptosis, which involved in the pathogenesis of lung diseases like COPD and ARDS. However, necroptosis in IPF have not been adequately studied. This study aimed to investigate the necroptosis in IPF and the relationship between necroptosis and immune infiltration, to construct a prognostic prediction model of IPF based on necroptosis-related genes.\nMethods: GSE110147 was downloaded from the GEO database and utilized to analyze the expression of necroptosis-related differentially expressed genes (NRDEGs). Then NRDEGs were used to construct protein-protein interaction (PPI) networks in the STRING database, and Cytoscape software was used to identify and visualize hub genes. Necroptosis-related prognosticgenes were explored in GSE70866, and a prognostic prediction model was constructed. The ImmuCellAI algorithm was utilized to analyze the landscape of immune infiltration in GSE110147. The single-cell RNA sequencing dataset GSE122960 was used to explore the association between necroptosis and type II alveolar epithelial cells (AT II) in IPF. The GSE213001 and GSE93606 were used for external validation. The expression of prognostic genes was quantified using RT-qPCRin the IPF A549 cell model, and was further verified by western blotting in the bleomycin-induced pulmonary fibrosis mouse model.\nResults: It was observed that necroptosis-related signaling pathways were abundantly enriched in IPF. 29 NRDEGs were screened, of which 12 showed consistent expression trends in GSE213001. Spearman correlation analysis showed that the expression of NRDEGs was positively correlated with the infiltration of proinflammatory immune cells, and negatively correlated with the infiltration of anti-inflammatory immune cells. NRDEGs, including MLKL, were highly expressed in AT II of fibrotic lung tissue. A necroptosis-related prediction model was constructed based on 4 NRDEGsby the cox stepwise regression. In the validation dataset GSE93606, the prognostic prediction model showed good applicability. The verification results of RT-qPCR and western blotting showed the reliability of most of the conclusions.\nConclusions: This study revealed that necroptosis existed in IPF and might occur in AT II. Necroptosis was associated with immune infiltration, suggesting that necroptosis of AT II might involve in IPF by activating immune infiltration and immune response.", "claims": [{"id": "claim-method", "statement": "Subsequently, the Cox stepwise regression method was used to screen the important genes from hub genes and establish a necroptosis-related prediction model.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37051233", "locator": "sections[8] \"Identification of prognostic hub genes and construction of prediction model\" paragraph 2", "quote": "Subsequently, the Cox stepwise regression method was used to screen the important genes from hub genes and establish a necroptosis-related prediction model."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets presented in this study can be found in online repositories. 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The physical bench the paper used is not, so a physical validation cannot be run here."}, "data": {"tier": "R1", "reachable": true, "accessions": ["GSE110147", "GSE70866", "GSE122960", "GSE213001", "GSE93606"], "resolved_accessions": ["GSE110147", "GSE70866", "GSE122960", "GSE213001", "GSE93606"], "statements": ["The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material."], "basis": "The paper names GSE110147, GSE70866, GSE122960, GSE213001, GSE93606 in GEO and the accession resolves in the repository. 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Necroptosis is a type of programmed apoptosis, which involved in the pathogenesis of lung"], "order_basis": "paper_text_order:160", "id": "assay:1"}, {"role": "data_generation", "definition_id": "scrna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "unsupported", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["ape of immune infiltration in GSE110147. The single-cell RNA sequencing dataset GSE122960 was used to explore the as"], "order_basis": "paper_text_order:1060", "id": "assay:2"}, {"role": "data_generation", "definition_id": "rna_seq", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.93, "evidence": ["e infiltration in GSE110147. The single-cell RNA sequencing dataset GSE122960 was used to explore the as"], "order_basis": "paper_text_order:1072", "id": "assay:3"}, {"role": "data_generation", "definition_id": "cell_culture", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.77, "evidence": ["genes was quantified using RT-qPCRin the IPF A549 cell model, and was further verified by west"], "order_basis": "paper_text_order:1351", "id": "assay:4"}, {"role": "data_generation", "definition_id": "western_blot", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["A549 cell model, and was further verified by western blotting in the bleomycin-induced pulmonary fibrosis", "ity. The verification results of RT-qPCR and western blotting showed the reliability of most of the conclu"], "order_basis": "paper_text_order:1396", "id": "assay:5"}, {"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": ["in the bleomycin-induced pulmonary fibrosis mouse model. Results: It was observed that necroptosis-r", "in the bleomycin-induced pulmonary fibrosis mouse model. Results: It was observed that necropt"], "order_basis": "paper_text_order:1458", "id": "assay:6"}, {"role": "data_generation", "definition_id": "qpcr", "definition_version": "99e1195c7d6f", "definition_digest": null, "required_operations": [], "support_state": "partial", "source_hashes": {"assay_lexicon": "99e1195c7d6f"}, "confidence": 0.99, "evidence": ["d applicability. 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