| Title: | Population-Scale Plasma Proteomic Profiles Associated with Chronic Periodontitis in the UK Biobank |
| Journal: | International Journal of Molecular Sciences |
| Published: | 9 Mar 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41828728/ |
| DOI: | https://doi.org/10.3390/ijms27052514 |
| URL: | http://dx.doi.org/10.3390/ijms27052514 |
Publication 17437
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Abstract
Periodontitis is a chronic infectious disease characterized by the destruction of the tooth-supporting tissues, including the gingiva, periodontal ligament, and alveolar bone, which may ultimately lead to tooth loss. However, blood-based biomarkers reflecting systemic inflammation in periodontitis remain poorly defined. We analyzed plasma proteomic data from the UK Biobank using Olink Explore proteomics to identify systemic protein signatures distinguishing chronic periodontitis patients (n = 90) from healthy controls (n = 2234). Among 2151 proteins passing quality control, 29 proteins showed significant differential expression (FDR < 1.0 × 10-5). Growth differentiation factor 15 (GDF15) exhibited the strongest upregulation (mean NPX: -0.183 to 0.157, effect size = 0.337, FDR = 2.82 × 10-12), followed by N-terminal pro-B-type natriuretic peptide (NT-proBNP) (effect size = 0.594), Interleukin-6 (IL-6) (effect size = 0.450), and Insulin-like growth factor binding protein-(4IGFBP4) (effect size = 0.269). Multiple TNF receptor superfamily members (TNFRSF1A/1B, TNFRSF10A/10B) and proteins involved in extracellular matrix remodeling (COL6A3, ADAM12) and vascular stress (ADM) were significantly elevated. In contrast, EGFR and DNER showed decreased expression. Protein-protein interaction network analysis revealed IL-6 as a central hub protein forming a tightly interconnected cluster with TNF receptor family members. These findings indicate systemic plasma protein profiles associated with chronic periodontitis within this population-based cohort. The identified proteins may provide a basis for future evaluation of blood-based biomarkers for chronic periodontitis, pending further validation.</p>
14 Keywords
- Adult
- Aged
- Biological Specimen Banks
- Biomarkers
- Blood Proteins
- Chronic Periodontitis
- Female
- Humans
- Male
- Middle Aged
- Proteome
- Proteomics
- UK Biobank
- United Kingdom
4 Authors
- Su Kang Kim
- Min Kyoung Kim
- Sang Wook Kang
- Ju Yeon Ban
1 Application
| Application ID | Title |
|---|---|
| 52031 | Gene Based Polygenic Prediction of Adverse Drug Reactions |
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