Ontology highlight
ABSTRACT:
PROVIDER: PRJNA767640 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Human saliva microbiota is phylogenetically divergent among host individuals yet their roles in health and disease are poorly appreciated. We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults. Saliva microbiota in the pilot population featured a vast diversity of functional genes. No significant distinction in gene number or diversity indices was observed between healthy and caries-active microbiota. However, co-presence network analysis of functional genes revealed that caries-active microbiota was more divergent in non-core genes than healthy microbiota, despite both groups exhibited a similar degree of conservation at their respective core genes. Furthermore, functional gene structure of saliva microbiota could potentially distinguish caries-active patients from healthy hosts. Microbial functions such as Diaminopimelate epimerase, Prephenate dehydrogenase, Pyruvate-formate lyase and N-acetylmuramoyl-L-alanine amidase were significantly linked to caries. Therefore, saliva microbiota carried disease-associated functional signatures, which could be potentially exploited for caries diagnosis. The DMFT INDEX (Decayed, Missing, Filled [DMF] teeth index used in dental epidemiology) values are provided for each sample We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults.
2013-08-15 | E-GEOD-49875 | biostudies-arrayexpress
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.
2023-11-21 | GSE241787 | GEO
Project description:Periodontal health, disease, and reoslution are characterized by a diverse cellular immune response in the oral mucosa. We used scRNAseq to robustly characterize the imme cell repertoire and asosciated changes across changes of conditions of health and disease.
2024-08-22 | GSE244633 | GEO
Project description:This is the first report of the metabolic and metaproteomic integrated changes in the gut and liver by the swallowed periodontopathogen. Periodontal disease pathogen Porphyromonas gingivalis are observed in faeces as peptides level in proteomic analysis and make changes in bowel microbial composition in db/db mouse. Orally Periodontal disease pathogen throwing as experimental periodontal disease model make gluconeogenesis in db/db mouse liver and hyperglycemia. Multi-omics analysis reveal Pg decreasing in energy metabolism and glucagon store in db/db mouse liver. These findings suggest that periodontal treatment improving oral microbiota can make diabetic hyperglycemia ameliorate in liver and support these diabetes treatments credibly.
2021-09-21 | PXD021851 | JPOST Repository
Project description:Human saliva microbiota is phylogenetically divergent among host individuals yet their roles in health and disease are poorly appreciated. We employed a microbial functional gene microarray, HuMiChip 1.0, to reconstruct the global functional profiles of human saliva microbiota from ten healthy and ten caries-active adults. Saliva microbiota in the pilot population featured a vast diversity of functional genes. No significant distinction in gene number or diversity indices was observed between healthy and caries-active microbiota. However, co-presence network analysis of functional genes revealed that caries-active microbiota was more divergent in non-core genes than healthy microbiota, despite both groups exhibited a similar degree of conservation at their respective core genes. Furthermore, functional gene structure of saliva microbiota could potentially distinguish caries-active patients from healthy hosts. Microbial functions such as Diaminopimelate epimerase, Prephenate dehydrogenase, Pyruvate-formate lyase and N-acetylmuramoyl-L-alanine amidase were significantly linked to caries. Therefore, saliva microbiota carried disease-associated functional signatures, which could be potentially exploited for caries diagnosis. The DMFT INDEX (Decayed, Missing, Filled [DMF] teeth index used in dental epidemiology) values are provided for each sample
2013-08-15 | GSE49875 | 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: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:The periodontium are the tissues supporting and investing the tooth and consists of the periodontal ligament, the gingiva, the root cementum, and the alveolar bone. The functions of the cell populations in health and disease regarding the host-mediated tissue destruction are not well understood. To get a first idea, of which genes might play a distinct role in chronic periodontal disease in vivo, we compared the genom-wide gene expressions of chronic inflamed and healthy periodontal ligament cells by microarray analysis and validated the data by real-time RT-PCR. The expression rates of 14.239 genes were investigated and 3.018 of them were found differentially expressed by at least two-fold, the expression rates of 1.451 genes were significantly up-regulated and the expression rates of 1.567 genes were significantly down-regulated in inflamed PDL cells. We focused on mainly structural components, for example, laminins and integrins, as well as degrading enzymes, for example, MMPs and cathepsins. The molecular composition of the laminin network varies in chronic inflamed compared to healthy PDL cells in vivo. Furthermore, integrin alpha6beta4, together with laminin-332, might be involved in chronic periodontal inflammation. Findings that diverse keratins were upregulated in chronic disease indicate that the epithelial cell rests of Malassez might also be involved in chronic periodontal inflammation. Also cathepsin B and cathepsin C might participate in the connective tissue destruction. The microarray analysis has identified a profile of genes potentially involved in chronic periodontal inflammation in vivo. Further studies are needed to entirely understand cellular activities during chronic periodontal inflammation in vivo. Experiment Overall Design: Periodontal tissue was collected from 32 patients at the Dental Medical School of the University of Goettingen (12 men, 20 women, aged between 18 and 72 years) from March 2005 to Dezember 2005. The tissue probes were taken from teeth, either extracted for orthodontic reasons (healthy periodontium) or because of chronic periodontal lesions. The differentiation between both collectives was performed using clinical and radiological parameters (clinical attachment loss, increase in probing depth, and radiographic bone loss). A detailed anamnesis of each patient was explored. All patients were without a medical history and were not on medication. In addition, the tissue samples used in our study were only taken from non-smokers. The extracted teeth were immediately frozen and stored at -80°C. All patients who participated in the study were informed about the nature and aim of this project and gave their written informed consent. The study was approved according to the regulations of the Ethics Committee of the Medical Faculty of the University of Goettingen.
2008-06-15 | E-GEOD-7321 | biostudies-arrayexpress