Ontology highlight
ABSTRACT:
PROVIDER: PRJNA770647 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR16316300_1.fastq.gz | Fastqsanger.gz | |||
| SRR16316300_2.fastq.gz | Fastqsanger.gz | |||
| SRR16316400_1.fastq.gz | Fastqsanger.gz | |||
| SRR16316400_2.fastq.gz | Fastqsanger.gz | |||
| SRR16316500_1.fastq.gz | Fastqsanger.gz |
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Project description:Dysbiosis of subgingival microbiome promotes the growth of periodontopathogens and the development of periodontitis, an irreversible chronic inflammatory disease. Untreated periodontitis leads to the destruction of connective tissues, alveolar bone resorption and ultimately to tooth loss. Periodontitis has been associated with inflammatory metabolic diseases such as type 2 diabetes. While periodontitis-induced inflammation is a key player in both, the development of subgingival microbiome dysbiosis and in the host-microbiome interaction, the effects of hyperglycemia on the regulation of the host genes controlling the inflammatory response and the host-microbiome interaction are still scarce. We investigated the impacts of a hyperglycemic microenvironment on the inflammatory response and gene expression of a gingival fibroblasts-macrophages coculture model stimulated with dysbiotic subgingival microbiomes. A coculture model composed of immortalized human gingival fibroblasts overlaid with U937 macrophages-likes cells were stimulated with subgingival microbiome collected from four healthy donors and four patients with periodontitis. Pro-inflammatory cytokines and matrix metalloproteinase were measured by a Luminex assay while the coculture RNA was submitted to a microarray analysis. Subgingival microbiomes were submitted to 16s rRNA gene sequencing. Data were analyzed by using an advanced multi-omics bioinformatic data integration model. Our results showed that krt76, krt27, pnma5, mansc4, rab41, thoc6, tm6sf2, and znf506 as well as the pro-inflammatory cytokines IL-1, GM-CSF, FGF2, IL-10, the metalloproteinases MMP3 and MMP8, and bacteria from the ASV 105, ASV 211, ASV 299, Prevotella, Campylobacter and Fretibacterium genera are key correlated variables contributing to periodontitis-induced inflammatory response in a hyperglycemic microenvironment. To conclude, our multi-omics integration analysis unveiled unique differentially interrelated bacterial genera, genes and pro-inflammatory cytokines involved in the regulation of the inflammatory response in a hyperglycemic microenvironment. These data also highlight the importance of considering hyperglycemic conditions in the development of new drugs or treatments for periodontal disease in link with type 2 diabetes.
2023-05-31 | GSE222883 | GEO
Project description:Periodontal infections have been associated with systemic inflammation and risk for atherosclerosis and vascular disease. We investigated the effects of comprehensive periodontal therapy on gene expression of peripheral blood monocytes. Approximately 1/3 of the patients showed substantial changes in expression in genes relevant to innate immunity, apoptosis, and cell signaling. We concluded that periodontal therapy may alter monocytic gene expression in a manner consistent with a systemic anti-inflammatory effect. Experiment Overall Design: Fifteen patients with periodontitis contributed with blood samples at four time points: 1 week prior to periodontal treatment (#1), at treatment initiation (baseline, #2), 6 weeks (#3) and 10 weeks post-baseline (#4). At baseline and 10 weeks, periodontal status was recorded and subgingival plaque samples were collected and processed by checkerboard DNA-DNA hybridization. Periodontal therapy, including periodontal surgery and extractions but no adjunctive antibiotics, was completed within 6 weeks. At each of the four time points, serum concentrations of 19 biomarkers were determined using multiplex assays for Luminex technology. Peripheral blood monocytes were purified, RNA was extracted, reverse-transcribed, labeled, and hybridized with Affymetrix U133 Plus 2.0 chips. Expression profiles were analyzed using linear random effects models. Further analysis of Gene Ontology (GO) terms summarized the expression patterns into biologically relevant categories. Treatment resulted in substantial improvement in clinical periodontal status and reduction in levels of several periodontal pathogens. Expression profiling over time revealed more than 11,000 probes sets differentially expressed at a false discovery rate of <0.05.
2008-06-15 | E-GEOD-6751 | biostudies-arrayexpress
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:This study compared the subgingival microbiota of subjects with periodontitis to those with periodontal health using the Human Oral Microbe Identification Microarray (HOMIM).
2011-09-17 | GSE32159 | GEO
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: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:The oral cavity is an easily accessible environment that allows for protective interventions aiming at modulating the immune response to control disease processes driven by a breakdown of host- microbe homeostasis. Periodontal disease (PD) is a prevalent condition in which quantitative and qualitative changes of the oral microbiota (dysbiosis) trigger non-resolving chronic inflammation, progressive bone loss and ultimately tooth loss. Here, we demonstrate the therapeutic benefit of local sustained delivery of the myeloid-recruiting chemokine CCL2 in murine ligature-induced PD using clinically relevant models as a preventive, interventional or reparative therapy. Local delivery of CCL2 into the periodontium inhibited bone loss and accelerated bone gain that could be ascribed to reduced osteoclasts numbers. CCL2 treatment upregulated M2-macrophage and downregulated pro-inflammatory and pro-osteoclastic markers. Furthermore, single cell RNA sequencing indicated that CCL2 therapy reversed disease-associated transcriptomic profiles of murine gingival macrophages via inhibiting TREM-1 signaling in classically activated macrophages and inducing PKA signaling in infiltrating macrophages. Finally, 16S rRNA sequencing showed mitigation of microbial dysbiosis in the periodontium that correlated with a reduction in microbial load in CCL2- treated mice. This study reveals a novel protective effect of CCL2 local delivery in PD as a model for chronic inflammatory diseases caused by a disturbance in host-microbe homeostasis.
2024-08-14 | GSE274721 | GEO
Project description:Periodontal disease (PD) is characterized by inflammation affecting the tissue surrounding the teeth, primarily affecting the soft tissues, like the gingiva. However, without proper treatment, the condition exacerbates and progresses to impact the deeper structures, as the alveolar bone. The periodontal inflammation leads to the alveolar bone resorption, that eventually results in the complete loss of tooth support. Given its potential consequences, periodontal disease is a significant public health concern, as one of the primary causes of tooth loss, contributing to issues such as impaired mastication, speech difficulties, low self-esteem, and quality of life. Notably, comorbidities, like hypertension, can exacerbate the progression and severity of periodontal disease. In addition, the coexistence of periodontal disease and hypertension is highly likely to occur due to sharing of several risk factors. A better understanding of the underling molecular mechanisms associated to the severity of periodontal disease in the context of hypertension would greatly contribute to the advancement of translational research in the field of periodontics. MicroRNAs, a class of small non-coding RNA molecules, have an important role in regulating gene expression at the post-transcriptional level. These molecules can regulate multiple mRNA targets through complementary base pairing between the miRNA 5' seed sequence and the mRNA 3' untranslated region (UTR). Therefore, microRNAs can potentially modulate a wide variety of cellular processes, in both normal and pathological contexts. Presently, most of the studies in the field concentrate on the periodontium soft tissues, while our understanding of microRNA modulation in the alveolar bone remains comparatively limited. We used microarray analysis to evaluate the expression profiles of microRNAs in the mandibles of Wistar and SHR rats with periodontal disease, compared to their respective control groups. Our aim was to identify microRNAs of interest that could possibly be associated to the periodontal disease-induced alveolar bone loss.
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2016-03-21 | PXD003337 | Pride