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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Discovery, validation and diagnostic ability of multiple protein-based biomarkers in saliva and GCF to distinguish between health and periodontal diseases.

Grant, Melissa, Taylor, John, Jaedicke, Katrin, Creese, Andrew, Gowland, Catherine, Bernard, Burke, Khawla, Doudin, Patel, Upen, Weston, Paul, Milward, Michael, Bissett, Susan, Cooper, Helen, Kooijman, Gerben, Rmaile, Amir, De Jager, Marco, Preshaw, Philip M and Chapple, Ian (2022) Discovery, validation and diagnostic ability of multiple protein-based biomarkers in saliva and GCF to distinguish between health and periodontal diseases. Journal of Clinical Periodontology.

Item Type: Article


Aim: To discover and validate differential protein biomarker expression in saliva and gingival crevicular
fluid (GCF) to discriminate objectively between periodontal health and plaque-induced periodontal
disease states.
Materials and methods: 190 participants were recruited from two centres (Birmingham and Newcastle
upon Tyne, UK) comprising healthy, gingivitis, periodontitis and edentulous donors. Samples from the
Birmingham cohort were analysed by quantitative mass spectrometry proteomics for biomarker
discovery. Shortlisted candidate proteins were then verified by enzyme-linked immunosorbent assay
in both cohorts. Leave-one-out cross validation logistic regression analysis was used to identify the
best performing biomarker panels.
Results: 95 proteins were identified in both GCF and saliva samples and 15 candidate proteins were
selected based upon differences discovered between the donor groups. The best performing panels
to distinguish between: health or gingivitis and periodontitis contained matrix metalloproteinase-9
(MMP9), S100A8, alpha-1-acid glycoprotein (A1AGP), pyruvate kinase and age (area under the curve
(AUC) 0.970); health and gingivitis contained MMP9, S100A8, A1AGP, pyruvate kinase but not age
(AUC 0.768); and mild-moderate and advanced periodontitis contained MMP9, S100A8, A1AGP,
pyruvate kinase and age (AUC 0.789).
Conclusion(s): Biomarker panels containing four proteins with and without age as a further parameter
can distinguish between periodontal health and disease states.

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Additional Information: This is the peer reviewed version of the following article: Grant MM, Taylor JJ, Jaedicke K, Creese A, Gowland C, Burke B, Doudin K, Patel U, Weston P, Milward M, Bissett SM, Cooper HJ, Kooijman G, Rmaile A, de Jager M, Preshaw PM, Chapple ILC. Discovery, validation, and diagnostic ability of multiple protein-based biomarkers in saliva and gingival crevicular fluid to distinguish between health and periodontal diseases. J Clin Periodontol. 2022 Apr 22. doi: 10.1111/jcpe.13630. Epub ahead of print. PMID: 35451104. which has been published in final form at This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
Uncontrolled Keywords: biomarker; gingival crevicular fluid; periodontal disease; proteomics; saliva
Depositing User: Katrin Jaedicke


Item ID: 14793
Identification Number:
Official URL:

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ORCID for Katrin Jaedicke: ORCID iD

Catalogue record

Date Deposited: 01 Jun 2022 14:10
Last Modified: 01 Apr 2023 02:38


Author: Katrin Jaedicke ORCID iD
Author: Melissa Grant
Author: John Taylor
Author: Andrew Creese
Author: Catherine Gowland
Author: Burke Bernard
Author: Doudin Khawla
Author: Upen Patel
Author: Paul Weston
Author: Michael Milward
Author: Susan Bissett
Author: Helen Cooper
Author: Gerben Kooijman
Author: Amir Rmaile
Author: Marco De Jager
Author: Philip M Preshaw
Author: Ian Chapple

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Faculty of Health Sciences and Wellbeing > School of Nursing and Health Sciences



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