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: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)
Project description:Periodontitis is one of the most common oral inflammatory diseases, and results in connective tissue degradation and gradual tooth loss. It manifests with formation of periodontal pockets, in which anaerobic and Gram‑negative bacteria proliferate rapidly. Consequently, alteration of the subgingival microbiota is considered the primary etiologic agent of periodontitis. Previous studies have reported that smokers are at increased risk of periodontal disease, in both prevalence and severity, indicating that smoking is a risk factor for the onset and progression of the pathology. In the present study, 16S rRNA sequencing was employed to assess the subgingival microbiota in 6 smoker patients with chronic periodontitis, 6 non‑smoker patients with chronic periodontitis and 8 healthy controls. The results demonstrated significant alterations in the microbial structure of periodontitis patients. High relative abundance of Parvimonans, Desulfubulbus, Paludibacter, Haemophilus, and Sphaerochaeta genera characterized subgingival microbiota of periodontitis patients, both smokers and non‑smokers. Due to the high precision and sensitivity of the 16S rRNA sequencing method, analysis for low‑abundant genera (including Pedobacter, Granulicatella, Paracoccus, Atopobium, Bifidobacterium, Coprococcus, Oridobacteriu, Peptococcus, Oscillospira and Akkermansia) was feasible, and revealed novel phylotypes associated with periodontitis. Of note, a major microbial community alteration was evident in smoker patients, suggesting an association between smoking and severity of subgingival dysbiosis. The present study confirmed that chronic periodontitis is a polymicrobial disease where changes in the equilibrium of subgingival microbiota contribute to severity of pathology.
Project description:We examined the molecular and cellular mechanism for chronic periodontitis in patients' gingival tissue by whole transcriptome sequencing.
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.
Project description:Microarray methylation (Infinium¨HumanMethylation 450 BeadChip from Illumina) was performed on 12 normal and 10 chronic periodontitis (CP) patients Bisulphite converted DNA from the 22 samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip
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:Microarray methylation (Infinium®HumanMethylation 450 BeadChip from Illumina) was performed on 11 normal and 9 chronic periodontitis (CP) patients Bisulphite converted DNA from the 20 samples were hybridised to the Illumina Infinium 450k Human Methylation Beadchip
Project description:Microarray methylation (Infinium¨HumanMethylation 450 BeadChip from Illumina) was performed on 12 normal and 10 chronic periodontitis (CP) patients
Project description:Microarray methylation (Infinium®HumanMethylation 450 BeadChip from Illumina) was performed on 11 normal and 9 chronic periodontitis (CP) patients