ArticleJournal of clinical periodontology2025
Probing the salivary proteome for prognostic biomarkers in response to non-surgical periodontal therapy.
Article in Journal of clinical periodontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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The trial behind it
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Salivary antibody responses toJournal of advanced periodontology & implant dentistry · 2026Article
- The Subgingival Host-Microbial Landscape in Mothers With Periodontitis and Their At-Risk Offspring.Journal of clinical periodontology · 2026Article
- Omics Sciences in Dentistry: A Narrative Review on Diagnostic and Therapeutic Applications for Prevalent Oral Diseases.Diagnostics (Basel, Switzerland) · 2025Review
- Saliva Versus All-Site Microbiome and Proteome Mapping in Periodontitis.Journal of clinical periodontology · 2025Article
- TREM-1 Pathway Biomarkers for Classification of Periodontal Diseases and Monitoring of Treatment Response in Grade B and C Periodontitis.Journal of clinical periodontology · 2025Article
- Clinical Response Characteristics of Salivary Proteins in the Management Strategy of Diabetes-Associated Periodontitis.Journal of proteome research · 2025Article
- Probing the salivary proteome for prognostic biomarkers in response to non-surgical periodontal therapy.Journal of clinical periodontology · 2025Article
- Characterisation of the periodontal proteome in gingival crevicular fluid and saliva using SWATH-MS.Frontiers in cellular and infection microbiology · 2025Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 3 countries.
Funding
Abstract
aimThis prospective study investigated the salivary proteome before and after periodontal therapy. MATERIALS AND
methodsTen systemically healthy, non-smoking, stage III, grade C periodontitis patients underwent non-surgical periodontal treatment. Full-mouth periodontal parameters were measured, and saliva (n = 30) collected pre- (T0), and one (T1) and six (T6) months post-treatment. The proteome was investigated by label-free quantitative proteomics. Protein expression changes were modelled over time, with significant protein regulation considered at false discovery rate <0.05.
resultsTreatment significantly reduced bleeding scores, percentages of sites with pocket depth ≥5 mm, plaque and gingival indexes. One thousand seven hundred and thirteen proteins were identified and 838 proteins (human = 757, bacterial = 81) quantified (≥2 peptides). At T1, 80 (T1 vs. T0: 60↑:20↓), and at T6, 118 human proteins (T6 vs. T0: 67↑:51↓) were regulated. The salivary proteome at T6 versus T1 remained stable. Highest protein activity post- versus pre-treatment was observed for cellular movement and inflammatory response. The small proline-rich protein 3 (T1 vs. T0: 5.4-fold↑) and lymphocyte-specific protein 1 (T6 vs. T0: 4.6-fold↓) were the top regulated human proteins. Proteins from Neisseria mucosa and Treponema socranskii (T1 vs. T0: 8.0-fold↓, 4.9-fold↓) were down-regulated.
conclusionsPeriodontal treatment reduced clinical disease parameters and these changes were reflected in the salivary proteome. This underscores the potential of utilizing saliva biomarkers as prognostic tools for monitoring treatment outcomes.
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Registered trials
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