Dataset Information

Longitudinal quantification of the GCF proteome during progression from gingivitis to periodontitis in a canine model

ABSTRACT: Inflammatory periodontal disease (periodontitis) is widespread in dogs. This study aimed to evaluate site-specific changes in the canine gingival crevicular fluid (GCF) proteome during the longitudinal progression from very mild gingivitis to mild periodontitis. Periodontitis diagnosis in dogs requires anaesthesia, our ultimate aim was to develop a periodontitis diagnostic that could be applied to samples taken from conscious dogs. The objective of this work was to identify potential biomarkers of periodontal disease progression in the GCF of dogs.

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Canis Familiaris (dog) (canis Lupus Familiaris)

TISSUE(S): Gingival Fluid

DISEASE(S): Periodontitis,Gingivitis

SUBMITTER: Melissa Grant

LAB HEAD: Melissa M Grant

PROVIDER: PXD003337 | Pride | 2016-03-21

REPOSITORIES: Pride

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Dataset's files

Source:

			Action	DRS
	AJ_050713_iTRAQ_Labelled_MS05028_108_GCF_Fraction_1-4_Canine.msf	Msf
	AJ_050713_iTRAQ_Labelled_MS05028_108_GCF_Fraction_1-4_Canine.pep.xml	Pepxml
	AJ_050713_iTRAQ_Labelled_MS05028_108_GCF_Fraction_1-4_Repeat_Canine.msf	Msf
	AJ_050713_iTRAQ_Labelled_MS05028_108_GCF_Fraction_1-4_Repeat_Canine.pep.xml	Pepxml
	AJ_050713_iTRAQ_Labelled_MS05028_108_GCF_Fraction_1-4_Threepeat_Canine.msf	Msf

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Publications

Longitudinal quantification of the gingival crevicular fluid proteome during progression from gingivitis to periodontitis in a canine model.

Davis Ian J IJ Jones Andrew W AW Creese Andrew J AJ Staunton Ruth R Atwal Jujhar J Chapple Iain L C IL Harris Stephen S Grant Melissa M MM

Journal of clinical periodontology 20160523 7

<h4>Aim</h4>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 o ...[more]

PMID: 26990150

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Project description:Analysis of gingival crevicular fluid (GCF) samples may give information of the identity of unattached (planktonic) subgingival bacteria, the 35 forefront candidates for systemic dispersal via ulcerated periodontal pocket epithelium. Our study represents the first one targeting the identity of bacteria in gingival crevicular fluid. Methodology/Principal findings: We determined bacterial species diversity in GCF samples of a group of periodontitis patients and delineated contributing bacterial and host-associated factors. Subgingival paper point (PP) samples from the same sites were taken for comparison. After DNA extraction, 16S rRNA genes were PCR amplified and DNA-DNA hybridization was performed using a microarray for over 300 bacterial species or groups. Altogether 133 species from 41 genera and 8 phyla 45 were detected with 9 to 62 and 18 to 64 species in GCF and PP samples, respectively, 46 per patient. Projection to latent structures by means of partial least squares (PLS) was applied to the multivariate data analysis. PLS regression analysis showed that species of genera including Campylobacter, Selenomonas, Porphyromonas, Catonella, Tannerella, Dialister, Peptostreptococcus, Streptococcus and Eubacterium had significant positive correlations and the number of teeth with low-grade attachment loss a significant negative correlation to species diversity in GCF samples. OPLS/O2PLS discriminant analysis revealed significant positive correlations to GCF sample group membership for species of genera Campylobacter, Leptotrichia, Prevotella, Dialister, Tannerella, Haemophilus, Fusobacterium, Eubacterium, and Actinomyces. Conclusions/Significance: Among a variety of detected species those traditionally classified as Gram-negative anaerobes growing in mature subgingival biofilms were the main predictors for species diversity in GCF samples as well as responsible for distinguishing GCF samples from PP samples. GCF bacteria may provide new prospects for studying dynamic properties of subgingival biofilms. The microbial profiles of GCF and subgingival plaque were analyzed from 17 subjects with periodontal disease.