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ABSTRACT:
PROVIDER: PRJNA1121417 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Metagenomic Characterization and Comparative Analysis of Denture-Wearing and Non-Denture-Wearing Individuals in Healthy and Diseased Periodontal Conditions
| PRJNA1121421 | ENA
Project description:Periodontitis is a chronic inflammatory disease resulting from a dysbiosis of the dental biofilm and a dysregulated host response in susceptible individuals. It is characterized by periodontal attachment destruction, bone resorption, and eventual tooth loss. Salivary biomarkers have been sought to predict and prevent periodontitis. This comparative study analyzed the salivary proteome of 30 individuals with chronic periodontitis (CP) and 10 with periodontal health (PH), and correlated specific proteins with clinical parameters of disease by using mass spectrometry. Stimulated whole saliva was obtained and pooled for 5 healthy controls and 15 CP patients, precipitated with TCA, digested enzymatically with trypsin and analyzed by an LTQ Orbitrap Velos equipped with a nanoelectrospray ion source. A wide range of salivary proteins of various functions was significantly reduced in CP individuals, whereas salivary acidic proline-rich phosphoprotein, submaxillary gland androgen-regulated protein, histatin, fatty acid-binding protein, thioredoxin, and cystatin were predominant in diseased patients and correlated significantly with signs of periodontal attachment loss and inflammation. Specific salivary proteins were associated with PH and CP. These differences in salivary proteome profiles may contribute to the identification of disease indicators or signatures and the improvement of periodontal diagnosis.
2020-05-20 | PXD015024 | Pride
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
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:To gain insights into the in vivo function of miRNAs in the context of periodontitis, we examined the occurrence of miRNAs in healthy and diseased gingival tissues and validated their in silico-predicted targets through mRNA profiling using whole-genome microarrays in the same specimens. Eighty-six individuals with periodontitis contributed 198 gingival papillae: 158 'diseased' (bleeding-on-probing, PD > 4 mm, and AL ≥ 3 mm) and 40 'healthy' (no bleeding, PD ≤ 4 mm, and AL ≤ 2 mm). Expression of 1,205 miRNAs was assessed by microarrays, followed by selected confirmation by quantitative RT-PCR. Predicted miRNA targets were identified and tested for enrichment by Gene Set Enrichment Analysis (GSEA). Enriched gene sets were grouped in functional categories by DAVID and Ingenuity Pathway Analysis. One hundred fifty-nine miRNAs were significantly differentially expressed between healthy and diseased gingiva. Four miRNAs (hsa-miR-451, hsa-miR-223, hsa-miR-486-5p, hsa-miR-3917) were significantly overexpressed, and 7 (hsa-miR-1246, hsa-miR-1260, hsa-miR-141, hsa-miR-1260b, hsa-miR-203, hsa-miR-210, hsa-miR-205*) were underexpressed by > 2-fold in diseased vs. healthy gingiva. GSEA and additional filtering identified 60 enriched miRNA gene sets with target genes involved in immune/inflammatory responses and tissue homeostasis. This is the first study that concurrently examined miRNA and mRNA expression in gingival tissues and will inform mechanistic experimentation to dissect the role of miRNAs in periodontal tissue homeostasis and pathology.
2014-02-05 | GSE54710 | GEO
Project description:To gain insights into the in vivo function of miRNAs in the context of periodontitis, we examined the occurrence of miRNAs in healthy and diseased gingival tissues and validated their in silico-predicted targets through mRNA profiling using whole-genome microarrays in the same specimens. Eighty-six individuals with periodontitis contributed 198 gingival papillae: 158 'diseased' (bleeding-on-probing, PD > 4 mm, and AL M-bM-^IM-% 3 mm) and 40 'healthy' (no bleeding, PD M-bM-^IM-$ 4 mm, and AL M-bM-^IM-$ 2 mm). Expression of 1,205 miRNAs was assessed by microarrays, followed by selected confirmation by quantitative RT-PCR. Predicted miRNA targets were identified and tested for enrichment by Gene Set Enrichment Analysis (GSEA). Enriched gene sets were grouped in functional categories by DAVID and Ingenuity Pathway Analysis. One hundred fifty-nine miRNAs were significantly differentially expressed between healthy and diseased gingiva. Four miRNAs (hsa-miR-451, hsa-miR-223, hsa-miR-486-5p, hsa-miR-3917) were significantly overexpressed, and 7 (hsa-miR-1246, hsa-miR-1260, hsa-miR-141, hsa-miR-1260b, hsa-miR-203, hsa-miR-210, hsa-miR-205*) were underexpressed by > 2-fold in diseased vs. healthy gingiva. GSEA and additional filtering identified 60 enriched miRNA gene sets with target genes involved in immune/inflammatory responses and tissue homeostasis. This is the first study that concurrently examined miRNA and mRNA expression in gingival tissues and will inform mechanistic experimentation to dissect the role of miRNAs in periodontal tissue homeostasis and pathology. The dataset comprise 200 gingival tissue samples from 86 patients with periodontitis. All samples are included in this series, but 2 where not included in the study, as they did not pass our QC. Each patient has one or more healthy and disease sample and samples can be of chronic or aggressive periodontitis type.
2014-02-05 | E-GEOD-54710 | biostudies-arrayexpress
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
Project description:healthy and stomatitis denture microbiome
| PRJNA292354 | ENA
Project description:Periodontitis can impair the osteogenic differentiation of human periodontal mesenchymal stem cells, but the underlying molecular mechanisms are still poorly understood. Long noncoding RNAs (lncRNAs) have been demonstrated to play significant roles under both physiologic and pathological conditions. We performed comprehensive lncRNAs profiling by lncRNA microarray to identify differentially expressed long noncoding RNA expression between Periodontal ligament stem cells from healthy Periodontal tissue and periodontal ligament stem cells from inflammatory periodontal tissue. Our analysis identified 233 lncRNAs and 423 mRNAs that were differently expressed (fold change >2.0, p-value < 0.05) between the two groups of cells. The GO analysis revealed that the significantly down-regulated biological processes included multicellular organismal process, developmental process and multicellular organismal development and the significantly up-regulated biological processes included cellular process, biological regulation and response to stimulus in periodontal ligament stem cells from inflammatory periodontal tissue. The Pathway analysis revealed that the differentially expressed mRNAs may involved in Focal adhesion, ECM-receptor interaction, Bacterial invasion of epithelial cells, Long-term depression, Circadian entrainment and HIF-1 signaling pathway. Two-condition experiment, periodontal ligament stem cells from healthy periodontal tissue (hPDLSCs) vs. periodontal ligament stem cells from inflammatory periodontal tissue (pPDLSCs), Biological replicates: 3 control replicates (hPDLSCs), 3 testing replicates (pPDLSCs).
2016-02-19 | E-GEOD-78074 | biostudies-arrayexpress