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pmid:40138999
New Insights Into the Correlation Between Necroptotic Activation and Neutrophil Infiltration in Pulpitis.
Xiaolan Guo · Xinyan Ma · Peng Liu · Xiaoxin Chen · Sitong Liu · Longrui Dang · Buling Wu · Zhao Chen
International dental journal · 2025 doi:10.1016/j.identj.2025.02.016
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Complete file
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Immune infiltration and necroptosis, both implicated in various inflammatory conditions, have been noted in pulpitis. However, the roles of necroptosis and immune infiltration in pulpitis pathogenesis remain poorly understood.\nMETHODS: Hematoxylin and eosin (HE) staining assessed inflammatory infiltration in dental pulp tissues. Western blotting (WB) and immunohistochemistry (IHC) quantified pMLKL expression. Transcriptome datasets GSE92681 and GSE77459 from GEO identified necroptosis-related differentially expressed genes (NRDEGs) via bioinformatics analysis. Functional enrichment identified 6 hub NRDEGs based on diagnostic capability through machine learning and immune infiltration. Transwell assays evaluated neutrophil infiltration post dental pulp cells (DPCs) necroptosis. The STRING database analyzed CXCL8-activated neutrophil receptors, and Transwell and co-immunoprecipitation (Co-IP) validated ligand-receptor interactions.\nRESULTS: Increased pMLKL expression in inflamed dental pulp indicates activation of necroptosis pathways. Functional enrichment analysis revealed that NRDEGs were mainly involved in necroptosis. Both datasets showed significant inflammatory infiltration. Bioinformatics suggested a link between immune infiltration and necroptosis in DPCs, with correlation analyses showing NRDEGs were closely associated with neutrophil infiltration. Necroptotic DPCs produce CXCL8, which recruits neutrophils via the C3AR1 receptor. The CXCL8/C3AR1 axis, validated by Transwell and co-immunoprecipitation assays, is crucial for communication between necroptosis and neutrophil chemotaxis in DPCs.\nCONCLUSION: Necroptosis occurs in pulpitis and correlates with immune cell infiltration. DPCs undergoing necroptosis can recruit neutrophils via the CXCL8/C3AR1 axis, exacerbating inflammation. This study offers new insights into the pathogenesis of pulpitis and potential therapeutic strategies.", "claims": [{"id": "claim-method", "statement": "We screened DEGs using the R package \"limma (v 3.48.3)\" and set the thresholds to P < .05 and | Log2FC | > 0.5.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40138999", "locator": "sections[13] \"Selection of NRDEGs\" paragraph 2", "quote": "We screened DEGs using the R package \"limma (v 3.48.3)\" and set the thresholds to P < .05 and | Log2FC | > 0.5."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Microarray data and corresponding clinical data for patients with pulpitis were obtained from the GEO database (https://www.ncbi.nlm.nih.gov/geo/) .The data that support the findings of this study are openly available in Gene Expression Omnibus (GEO), reference number GSE77459 and GSE92681.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40138999", "locator": "sections[32] \"ack\" paragraph 1", "quote": "Microarray data and corresponding clinical data for patients with pulpitis were obtained from the GEO database (https://www.ncbi.nlm.nih.gov/geo/) .The data that support the findings of this study are openly available in Gene Expression Omnibus (GEO), reference number GSE77459 and GSE92681."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Functional enrichment identified 6 hub NRDEGs based on diagnostic capability through machine learning and immune infiltration.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40138999", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Functional enrichment identified 6 hub NRDEGs based on diagnostic capability through machine learning and immune infiltration."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Functional enrichment identified 6 hub NRDEGs based on diagnostic capability through machine learning and immune infiltration.", "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:40138999"], "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. 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