Longitudinal quantification of the gingival crevicular fluid proteome during progression from gingivitis to periodontitis in a canine model. (23rd May 2016)

• Record Type: Journal Article
• Authors: Davis, Ian J.; Jones, Andrew W.; Creese, Andrew J.; Staunton, Ruth; Atwal, Jujhar; Chapple, Iain L. C.; Harris, Stephen; Grant, Melissa M.
• Is Part Of: Journal of clinical periodontology. Volume 43:Number 7(2016:Jul.)
• Page Start: 584
• Page End: 594
• Publication Date: 2016-05-23
• Subjects: dog -- gingivitis -- inflammation -- longitudinal -- periodontitis -- proteomics; Periodontics -- Periodicals; 617.6
• DOI: 10.1111/jcpe.12548
• Languages: English
• ISSNs: 0303-6979

Abstract

Abstract: Aim: Inflammatory periodontal disease is widespread in dogs. This study evaluated site‐specific changes in the canine gingival crevicular fluid (GCF) proteome during longitudinal progression from very mild gingivitis to mild periodontitis. Periodontitis diagnosis in dogs requires general anaesthesia with associated risks and costs; our ultimate aim was to develop a periodontitis diagnostic for application in conscious dogs. The objective of this work was to identify potential biomarkers of periodontal disease progression in dogs. Material and Methods: Gingival crevicular fluid was sampled from a total of 10 teeth in eight dogs at three different stages of health/disease and samples prepared for quantitative mass spectrometry (data available via ProteomeXchange; identifier PXD003337). A univariate mixed model analysis determined significantly altered proteins between health states and six were evaluated by ELISA. Results: Four hundred and six proteins were identified with 84 present in all samples. The prevalence of 40 proteins was found to be significantly changed in periodontitis relative to gingivitis. ELISA measurements confirmed that haptoglobin was significantly increased. Conclusions: This study demonstrates for the first time that proteins detected by mass spectrometry have potential to identify novel biomarkers for canine periodontal disease. Further work is required to validate additional biomarkers for a periodontitis diagnostic.