Microbial composition of gingival crevicular fluid of patients with periodontal disease
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ABSTRACT:
PROVIDER: PRJNA1262928 | ENA |
REPOSITORIES: ENA
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Project description:We profiled miRNAs in gingival crevicular fluid (GCF) by a PCR-based method that yielded quantitative measures of more than 600 miRNAs. We found that miRNA profiles in GCF of periodontitis patients are distinct from those of healthy controls.
2017-08-11 | GSE89081 | GEO
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.
2010-05-21 | E-GEOD-21929 | biostudies-arrayexpress
Project description:Gingival Crevicular Fluid, a plasma-derived exudate present in the gingival crevice was collected from deciduous, exfoliating and permanent teeth from 20 children (60 samples) with the aim to characterize and quantify by a mass spectrometry based top-down proteomic approach, the peptide/proteins in the fluid and verify possible variations occurring during the exfoliating process. The results obtained confirmed the presence in Gingival Crevicular Fluid of α-Defensins 1-4, Thymosin β4 and Thymosin β10, as described in previous works and revealed the presence of other interesting peptides never described before in Gingival Crevicular Fluid, such as specific fragments of α-1-antitrypsin, α-1-antichymotrypsin, Thymosin β4 and Thymosin β10 fragments, Fibrinopeptide A, Fibrinopeptide B, S100A, LVV Hemorphin-7 (hemoglobin chain β fragment), as well as some other peptides deriving from α and β subunits of hemoglobin. Statistical analysis evidenced different levels in 5 proteins/peptides in the three groups in particular with higher level in exfoliating teeth. Our study demonstrate that an in-depth analysis of a biological fluid like Gingival Crevicular Fluid, present in small amount, can provide useful information for the understanding of different biological processes like teeth eruption.
2020-07-09 | PXD016010 | Pride
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.
2010-05-21 | GSE21929 | GEO
Project description:The human gingival crevicular fluid proteome and metaproteome of periodontitis are investigated, to shed light on the factors that mediate the host-microbiota interactions in the pathogenesis of periodontitis.
2023-05-06 | PXD042037 |
Project description:We investigated differential DNA methylation in gingival tissues in states of periodontal health, gingivitis and periodontitis.
2021-04-23 | GSE173081 | GEO
Project description:We investigated differential mRNA expression in gingival tissues in states of periodontal health, gingivitis and periodontitis.
2021-04-23 | GSE173078 | GEO
Project description:Aggressive periodontitis (AP; Grade C, Stage 3-4) is rapid destructive condition of periodontium triggered by an imbalanced immune reaction with dysbiosis of periodontal pathogens. AP is characterized by extensive tooth loss in early ages due to its severe nature and rapid progression, significantly impacting the affected individual's quality of life. Despite the severity and refractoriness of the disease, the precise pathophysiology of this hyper-reactive phenotype remains unclear. In this study, we dissected the distinct immunological features in AP by establishing the comprehensive human gingival cell atlas on individuals with AP, chronic periodontitis (CP), and healthy controls (HC). Iterative clustering analysis based on the single-cell transcriptome revealed the distinct populations in B and plasma cells upon the periodontal conditions. AP group exhibited a significant rise in B cells including a unique cell cluster dominantly expressing ID3, a key suppressor of plasma cell development. This observation is coordinated with the impaired phenotypes of antibody class switching in AP patients. Remarkably, the secreted IgM gingival crevicular fluid from AP patients exhibited the autoreactivity to gingival tissues, suggesting a potential autoimmune mechanism that involved in AP pathogenesis. These findings highlight distinct immune cell and antibody profiles in AP, providing the insights into the groundwork for personalized monitoring and proactive intervention approaches to mitigate irreversible tissue damage.
2024-04-02 | GSE262668 | GEO
Project description:The normal epithelium derived stromal cells included ECM, normal fibroblast, mesenchymal stromal cells and osteoblast also plays a significant role in the progress of cancers but poorly investigated in the progress of OSCC. In this study, the stromal cells derived from gingival and periodontal tissues were extracted and human dermal fibroblasts were selected as control group. The differentially expressed genes in Gingival derived stromal cells and Periodontal derived stromal cells were identified by microarray. Furthermore, the biological process, cellular component, molecular function and cell pathways of differentially expressed genes in gingival derived stromal cells and periodontal derived stromal cells were analyzed by GO enrichment analysis and KEGG enrichment analysis respectively. All of these findings could provide potential genes in gingival derived stromal cells and periodontal derived stromal cells that influences the progress of OSCC.
2022-08-23 | GSE174595 | GEO
Project description:Over the last years, proteomic techniques have been demonstrated to be valuable tools for analysing the periodontal proteome in gingival crevicular fluid (GCF) samples contributing to identifying extensive and comprehensive protein profiles associated with periodontitis. However, the periodontal proteome has not yet been studied using sequential window acquisition of all theoretical mass spectra (SWATH-MS). Consequently, the objective of the present longitudinal research was to investigate the periodontal proteome in GCF in three clinical conditions (periodontal health, untreated periodontitis, and treated periodontitis), applying SWATH-MS to 1) analyse the periodontal proteome structure in the three clinical groups, 2) compare the differential protein expression between the three clinical groups, and 3) evaluate the diagnostic accuracy of the proteins quantified to identify new biomarkers with a high capacity to discriminate the three clinical conditions. A total of 84 subjects, 44 periodontally healthy and 40 with generalised untreated periodontitis in stages III-IV, were included, and GCF samples were collected. The diagnosis of periodontal status was conducted by two experienced dentists using clinical and radiographic criteria. The definition of periodontal status was established following the Classification of Periodontal Diseases and Conditions published in 2018. In the untreated periodontitis group, 38 underwent conventional non-surgical treatment and were evaluated clinically after two months (treated periodontitis group). In the revaluation, 25 individuals showed significant clinical improvement in probing pocket depth (PPD) at the selected sites, and GCF samples were collected from them.
2024-10-17 | PXD043474 | Pride