ArticleMediators of inflammation2026
Exploring Matrix Stiffness-Related Gene in Periodontitis: A Comprehensive Multidataset Analysis.
Article in Mediators of inflammation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Exploring Matrix Stiffness-Related Gene in Periodontitis: A Comprehensive Multidataset Analysis.Mediators of inflammation · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCharacterized by the progressive deterioration of periodontal supporting tissues, periodontitis (PD) is a prevalent oral disorder primarily instigated by dental plaque biofilms. Matrix stiffness (MS), a key extracellular matrix (ECM) property, regulates inflammatory cell function and tissue repair balance. Herein, we sought to screen for potential biomarkers linking MS to PD pathogenesis and characterize the molecular mechanisms governing their regulation.
methodsTo detect robust biomarkers, we utilized differential expression analysis and machine learning approaches (LASSO, random forest, and Boruta), followed by rigorous validation. Beyond biomarker identification, the study involved functional enrichment, immune infiltration estimation, drug screening, and regulatory network mapping, all integrated with single-cell data.
resultsFour upregulated MS-related biomarkers (COL15A1, COL4A1, CXCR4, and MMP7) were identified, enriched in chemokine signaling and natural killer (NK) cell cytotoxicity pathways. Immune infiltration revealed 15 differentially abundant cell types (e.g., neutrophils and resting NK cells). Regulatory networks (e.g., MALAT1-hsa-miR-124-3 p-COL4A1) and potential drugs (e.g., dipyridamole) were predicted. Single-cell analysis identified 13 cell types, with endothelial cells showing high activity in fatty acid metabolism pathways.
conclusionCOL15A1, COL4A1, CXCR4, and MMP7 were identified as biomarkers associated with MS. Bioinformatics analysis suggested that they might be involved in the progression of PD through pathways such as immune infiltration, metabolism, and inflammatory chemotaxis, providing hypothetical clues regarding the link between MS and the pathogenesis of PD; however, their specific mechanisms of action still required experimental validation.
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