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.
Project description:Saccharibacteria (TM7) are obligate epibionts living on the surface of their host bacteria, and strongly correlated with dysbiotic microbiomes during periodontitis and other inflammatory diseases, suggesting they are putative pathogens. However, due to the recalcitrance of TM7 cultivation, no causal research has been conducted to investigate their role in inflammatory diseases. Here, we isolated multiple TM7 species on their host bacteria from periodontitis patients. These TM7 species reduced inflammation and consequential bone loss by modulating their host bacterial pathogenicity in mouse ligature-induced periodontitis model. Two host bacterial functions involved in collagen binding and utilization of eukaryotic sialic acid were identified as required for inducing bone loss and altered by TM7 association. This down-regulation of host bacterial pathogenicity by TM7 was shown for multiple TM7/host bacteria pairs, suggesting that, in contrast to their suspected pathogenic role, TM7 could protect mammalian hosts from inflammatory damage induced by their host bacteria.
Project description:The goal of this study is to use a rapid method for oral neutrophil isolation and use a transcriptomics approach to characterize and compare the neutrophil gene expression profile in the blood and oral compartment of healthy individuals, chronic periodontitis patients and refractory periodontitis patients. Total RNA obtained from isolated neutrophils from blood and oral samples of Healthy patients, chronic periodontits patients and refractory periodontitis patients
Project description:We report the application of high throughput Illumina sequencing for profiling of small RNAs in saliva of patients who were diagnosed with chronic periodontitis as compared to healthy controls. To date, there is no published literature on salivary microRNA profiling done using the high throughput next-generation sequencing analysis in patients diagnosed with chronic periodontitis. Also, this is the first study of its kind done in an Indian population. The objectives of the study were to profile microRNAs expressed in saliva of patients diagnosed with chronic periodontitis, to identify differentially expressed microRNAs between chronic periodontitis and healthy patients and to identify putative salivary microRNAs which can serve as biomarkers for periodontal disease.
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.
Project description:Peripheral blood neutrophils from periodontitis patients exhibit a hyper-reactive and hyper-active phenotype (collectively termed hyper-responsivity) in terms of production of reactive oxygen species (ROS) however the molecular basis for this observation is yet to be determined. Our objectives were to identify genes differentially expressed in hyper-responsive peripheral blood neutrophils from chronic periodontitis patients relative to periodontally healthy controls and use this data to identify potential contributory pathways to the hyper-responsive neutrophil phenotype. Experiment Overall Design: Neutrophils taken from 4 chronic periodontitis patients and age/sex matched healthy controls. RNA extracted and subsequently hybridised in dulpicate on to U133A arrays.
Project description:This study evaluated the transcriptome of healthy gingival tissue in patients with a history of generalized aggressive periodontitis (GAgP) and chronic periodontitis (CP) and in subjects with no history of periodontitis (H), using microarray analysis.
Project description:To identify gene expression profiles in those periodontitis-associated fibroblasts (PAFs) versus normal gingival fibroblasts to determine their molecular repertoire, and exploit it for therapeutic intervention. We collected RNA from 4 paired PAF and non PAF from patients with periodontitis