Dataset Information

Comparative Proteomics of Tissue and Gingival Crevicular Fluid in Periodontitis

ABSTRACT: Periodontitis is an inflammatory condition affecting periodontal tissues, such as the gingiva and alveolar bone, surrounding the teeth. However, previous research has focused on analyzing a single sample type, such as tissue, blood, or gingival crevicular fluid (GCF), which may limit the comprehensive understanding of the complex pathology of periodontitis. We conducted a proteomic analysis using liquid chromatography-mass spectrometry (LC-MS) on the periodontal tissues and GCF from patients with periodontitis. This analysis distinguished distinct proteomic signatures between the two sample types, with 3,803 proteins being identified in periodontal tissue and 910 proteins in GCF, underscoring the significant variances pertinent to periodontal health. Proteins such as S100A12, MPO, APOA1, CTSG, and PSMA1 were markedly upregulated in GCF, suggesting their potential as key markers of neutrophil activity and systemic inflammation. These findings provide profound insights into both the local and systemic pathophysiological processes underlying periodontitis, emphasizing the utility of GCF as a non-invasive medium for reflecting comprehensive disease states.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Gingival Fluid, Periodontium

DISEASE(S): Periodontitis

SUBMITTER: Jeong-hun Mok

LAB HEAD: Jong-Moon Park

PROVIDER: PXD054953 | Pride | 2026-04-06

REPOSITORIES: Pride

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Publications

Comparative proteomic analysis of gingival crevicular fluid and periodontal tissue: revealing clinical potential.

Mok Jeong-Hun JH Hong Ji-Youn JY Joo MinJoong M Bang Won Seok WS Ahn Do-Young DY Yun Jeong-Ho JH Park Jong-Moon JM

Clinical proteomics 20260224 1

<h4>Background</h4>Periodontitis is a chronic inflammatory disease characterized by tissue destruction and immune dysregulation. While gingival crevicular fluid (GCF) serves as a non-invasive biomarker source, its molecular distinctions from periodontal tissue remain underexplored. This study conducted a comparative proteomic analysis of GCF and tissue samples from patients with Stage III-IV periodontitis, integrating differential expression, weighted gene co-expression network analysis, and pro ...[more]

PMID: 41735856

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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.

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