Transcriptome of healthy gingival tissue in aggressive periodontitis
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE79705 | GEO | 2017/03/29
SECONDARY ACCESSION(S): PRJNA316805
REPOSITORIES: GEO
Similar Datasets
Project description:The present study aimed to compare the miRNA expression profile in individuals with chronic (CP) and aggressive (AP) periodontitis. Eighteen non-smokers individuals (CP = 9 and AP = 9) without any history of systemic diseases or previous periodontal therapy were selected at the Clinics of Periodontology from the Federal University of Minas Gerais. Gingival tissue samples were collected during the initial periodontal therapy. miRNAs were isolated and expression patterns of 754 miRNAs were assessed with a quantitative miRNA PCR array. miRNAs expression profiles were compared between CP and AP groups. No differences were observed in the miRNAs expression profiles between CP and AP groups (p>0.05). According to miRNA microarray analyses, the most expressed miRNAs in both groups were hsa-miR-1274b, hsa-let-7b, hsa-miR-24, hsa-miR-19b, hsa-miR-720, hsa-miR-126, hsa-miR-17 and hsa-miR-21. Findings suggested that there were no differences in miRNAs expression profiles between chronic and aggressive forms of periodontitis. The overexperssion of especific miRNAs could provide insights on the pathogenesis of both forms of the disease.
2018-06-26 | GSE116209 | 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:We examined the molecular and cellular mechanism for chronic periodontitis in patients' gingival tissue by whole transcriptome sequencing.
2016-08-18 | GSE80715 | GEO
Project description:<p><strong>AIM:</strong> The role of lipids in periodontitis has not been well studied. Thus, this study aimed to explore periodontitis-associated lipid profile changes and identify differentially expressed lipid metabolites in gingival tissues.</p><p><strong>MATERIALS AND METHODS:</strong> Gingival tissues from 38 patients with periodontitis (periodontitis group) and 38 periodontally healthy individuals (control group) were collected. A UHPLC-QTOF-MS-based non-targeted metabolomics platform was used to identify and compare the lipid profiles of the two groups. The distribution and expression of related proteins were subsequently analyzed via immunohistochemistry to further validate the identified lipids.</p><p><strong>RESULTS:</strong> Lipid profiles significantly differed between the two groups, and 20 differentially expressed lipid species were identified. Lysophosphatidylcholines (lysoPCs), diacylglycerols (DGs) and phosphatidylethanolamines (PEs) were significantly upregulated, while triacylglycerols (TGs) were downregulated in the periodontitis group. Moreover, the staining intensity of ABHD5/CGI-58, secretory phospholipase A2 (sPLA2), and sPLA2-IIA was significantly stronger in the gingival tissues of patients with periodontitis than in those of healthy controls.</p><p><strong>CONCLUSIONS:</strong> LysoPCs, DGs, and PEs were significantly upregulated, whereas TGs were downregulated in gingival tissues of patients with periodontitis. Correspondingly, the immunohistochemical staining of ABHD5/CGI-58, sPLA2 and sPLA2-IIA in gingival tissues was consistent with the downstream production of lipid classes (lysoPCs, TGs and DGs).</p>
2022-08-19 | MTBLS4684 | MetaboLights
Project description:Gene expressions relate to the pathogenesis of periodontitis and have a crucial role in local tissue destruction and susceptibility to the disease. The aims of the present study were to explore comprehensive gene expressions/transcriptomes in periodontitis-affected gingival tissues, and to identify specific biological processes. The purpose of the present study was 1) to compare comprehensive gene expression/transcriptomes of periodontitis-affected gingival tissues with those of healthy tissues by using microarray and data mining technologies, and 2) to analyze significantly differentially expressed genes which belong to pathological pathways in periodontitis by qRT-PCR. Two distinct gingival samples including healthy and periodontal-affected gingiva were taken from 3 patients with severe chronic periodontitis. Total RNAs from 6 gingival tissue samples were used for microarray and data-mining analyses. Comparisons, gene ontology, and pathway frequency analyses were performed and identified significant biological pathways in periodontitis. Quantitative reverse transcription real-time polymerase chain reaction (qRT-PCR) analyse using 14 chronic periodontitis patients including 3 patients listed above and 14 healthy individuals showed 9 differentially expressed genes in leukocyte migration and cell communication pathways.
2010-08-13 | E-GEOD-23586 | biostudies-arrayexpress
Project description:We investigated the association between subgingival bacterial profiles and gene expression patterns in gingival tissues of patients with periodontitis. A total of 120 patients undergoing periodontal surgery contributed with a minimum of two interproximal gingival papillae (range 2-4) from a maxillary posterior. Prior to tissue harvesting, subgingival plaque samples were collected from the mesial and distal aspects of each papilla. Gingival tissue RNA was extracted, reverse-transcribed, labeled, and hybridized with whole-genome microarrays (310 in total)
2009-12-21 | E-GEOD-16134 | biostudies-arrayexpress
Project description:We examined gene expression signatures in healthy and diseased gingival tissues in 90 patients. Analysis of the gingival tissue transcriptome in states of periodontal health and disease may reveal novel insights of the pathobiology of periodontitis. Keywords: gingival tissue disease state analysis
2008-12-22 | GSE10334 | GEO
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:We used a nonhuman primate (NHP) model of ligature-induced periodontitis to identify gingival transcriptome changes associated with aging during the phases of periodontitis lesions (initiation, progression, and resolution). Four age groups of nonhuman primate were studied: Young (<3 years of age); Adolescent (3 to 7 years), Adult (12 to 15 years), and Aged (17-23 years)
2021-07-22 | GSE180588 | GEO
Project description:We examined gene expression signatures in healthy and diseased gingival tissues in 90 patients. Analysis of the gingival tissue transcriptome in states of periodontal health and disease may reveal novel insights of the pathobiology of periodontitis. Keywords: gingival tissue disease state analysis Ninety non-smokers, 63 with chronic and 27 with aggressive periodontitis, each contributing with >=2 “diseased” interproximal papillae (with bleeding on probing, probing pocket depth >=4mm, and clinical attachment loss >=3mm) and a “healthy” papilla, if available (no BoP, PPD<=4mm and CAL<=2mm). RNA was extracted, amplified, reverse transcribed, labeled, and hybridized with AffymetrixU133Plus2.0 arrays. Transcriptome analysis was conducted on a total of 247 samples (from 183 diseased and 64 healthy sites).
2008-12-22 | E-GEOD-10334 | biostudies-arrayexpress