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.
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
Project description:The composition of the salivary microbiota has been reported to differentiate between patients with periodontitis, dental caries and orally healthy individuals. Thus, the purpose of the present investigation was to compare metaproteomic profiles of saliva in oral health and disease. Stimulated saliva samples were collected from 10 patients with periodontitis, 10 patients with dental caries and 10 orally healthy individuals. Samples were analyzed by means of shotgun proteomics. 4161 different proteins were recorded out of which 1946 and 2090 were of bacterial and human origin respectively. The human proteomic profile displayed significant overexpression of the complement system and inflammatory mediators in periodontitis and dental caries. Bacterial proteomic profiles and functional annotation were very similar in health and disease. Data revealed multiple potential salivary proteomic biomarkers of oral disease. In addition, comparable bacterial functional profiles were observed in periodontitis, dental caries and oral health, which suggest that the salivary microbiota predominantly thrives in a planktonic state expressing no characteristic disease-associated metabolic activity. Future large-scale longitudinal studies are warranted to reveal the full potential of proteomic analysis of saliva as a biomarker of oral health and disease.
Project description:The composition of the salivary microbiota has been reported to differentiate between patients with periodontitis, dental caries and orally healthy individuals. Thus, the purpose of the present investigation was to compare metaproteomic profiles of saliva in oral health and disease. Stimulated saliva samples were collected from 10 patients with periodontitis, 10 patients with dental caries and 10 orally healthy individuals. Samples were analyzed by means of shotgun proteomics. 4161 different proteins were recorded out of which 1946 and 2090 were of bacterial and human origin respectively. The human proteomic profile displayed significant overexpression of the complement system and inflammatory mediators in periodontitis and dental caries. Bacterial proteomic profiles and functional annotation were very similar in health and disease. Data revealed multiple potential salivary proteomic biomarkers of oral disease. In addition, comparable bacterial functional profiles were observed in periodontitis, dental caries and oral health, which suggest that the salivary microbiota predominantly thrives in a planktonic state expressing no characteristic disease-associated metabolic activity. Future large-scale longitudinal studies are warranted to reveal the full potential of proteomic analysis of saliva as a biomarker of oral health and disease.
Project description:Sjogren's syndrome is an autoimmune disease, characterized by complaints such as xerostomia and keratoconjunctivitis sicca. In other autoimmune diseases such as diabetes and SLE, monocyte abberancies have been described. Therefore, this study aimed at studying the monocyte compartment in Sjogren's Syndrome, by transcription profiling of CD14+CD16- and CD14lowCD16+ monocytes in patients and controls.
Project description:Background: Hypertension is one of the most common metabolic diseases in the elderly and its pathogenesis is associated with microbiota dysbiosis. Recent evidence suggests that oral microbiota dysbiosis is also an important factor in the development of hypertension. However, the relationship between hypertension and oral flora in the elderly has not been adequately investigated. Objective: The aim of this cross-sectional study was to investigate the structure of the oral microbiota and its correlation with hypertension in elderly hypertensive patients. To provide new ideas for the prevention and treatment of hypertension. Methods: 206 subjects aged 60 ~ 89 years were selected and divided into normal (CON) and hypertensive (HTN) groups, according to the 2018 Chinese Guidelines for the Management of Hypertension. The oral microbiome composition of saliva samples was determined by 16S rRNA gene sequencing. Results: Although there was no significant difference in α and β diversity between the two groups, systolic and diastolic blood pressure were the most important factors influencing the structure of the oral microbiota. At the phylum level, the relative abundance of the spirochete phylum and the mutualistic bacterial phylum was higher in the HT group than in the CON group (p < 0.05). Diastolic blood pressure was negatively correlated with Streptococcus. Furthermore, we analyzed HTN patients with 120 mmHg<systolic blood pressure<160 mmHg and systolic blood pressure>160 mmHg separately and found that the abundance of Saccharibacteria_(TM7) was significantly increased in the HTN_2 group. Conclusions: Our study identified specific oral microbiota in elderly hypertensive patients, confirming the relationship between oral microbiota and hypertension. This enhances our understanding of the important role of oral microbiota in the pathogenesis of hypertension and accumulates more evidence for microbial involvement in the development of hypertension.
Project description:10 saliva samples from patients with primary Sojgren's syndrome and 10 saliva samples from control subjects Experiment Overall Design: Gene profilling from 10 saliva samples from patients with primary Sojgren's syndrome and 10 saliva samples from control subjects using Affymetrix HGu133+2 microarray.