Longevity-Associated Core Gut Microbiota Mining and Effect of Mediated Probiotic Combinations on Aging Mice: Case Study of a Long-Lived Population in Guangxi, China.

With an ageing population, healthy longevity is becoming an important scientific concern. The longevity phenomenon is closely related to the intestinal microflora and is highly complicated; it is challenging to identify and define the core gut microbiota associated with longevity. Therefore, in this study, 16S rRNA sequencing data were obtained from a total of 135 faecal samples collected as part of the latest sampling and pre-collection initiative in the Guangxi longevity area, and weighted gene co-expression network analysis (WGCNA) was used to find a mediumpurple3 network module significantly associated with the Guangxi longevity phenomenon. Five core genera, namely, Alistipes, Bacteroides, Blautia, Lachnospiraceae NK4A136 group, and Lactobacillus, were identified via network analysis and random forest (RF) in this module. Two potential probiotic strains, Lactobacillus fermentum and Bacteroides fragilis, were further isolated and screened from the above five core genera, and then combined and used as an intervention in naturally ageing mice. The results show a change in the key longevity gut microbiota in mice toward a healthy longevity state after the intervention. In addition, the results show that the probiotic combination effectively ameliorated anxiety and necrosis of hippocampal neuronal cells in senescent mice, improving their antioxidant capacity and reducing their inflammation levels. In conclusion, this longer-term study provides a new approach to the search for longevity hub microbiota. These results may also provide an important theoretical reference for the healthification of the intestinal microflora in the general population, and even the remodelling of the structure of the longevity-state intestinal microflora.

[Detection of periodontal pathogens from saliva of type 2 diabetic patients in urban area of Beijing].

OBJECTIVE: To investigate the prevalence of periodontal pathogens from saliva of patients with type 2 diabetes mellitus (T2DM), and to characterize the association between the glucose status and periodontal pathogens in oral cavity. METHODS: All the subjects were hypertension patients under regular care at Beijing hypertension prevention and management institute. Whole unstimulated saliva samples were collected from 45 non-diabetic subjects (non-DM group), 80 well-controlled diabetic patients (DM-well group) and 100 poor-controlled diabetic patients (DM-poor group). DNA was extracted from the salivary deposition, Porphyromonas gingivalis (Pg), Tannerella forsythia (Tf) and Treponema denticola (Td) were detected by polymerase chain reaction (PCR) method based on 16SrRNA. Prevalence and quantity of the pathogens under different glucose states were compared and logistic regression model was set to analyze the factors related to each bacterium. RESULTS: The prevalence of Tf in DM-well group and DM-poor group was significantly lower than that of non-DM group [81% (65/80), 80% (80/100) vs 91% (41/45), P = 0.048], meanwhile the quantity of Tf was also lower than that of non-DM group [1.9(2.6), 2.1(5.3) vs 3.4(6.4)] (P > 0.05). With the worsening of glucose control, the quantity of Tf was declining (P = 0.032). However, the prevalence and the quantity of Pg, Td in 3 groups had no statistical differences (P > 0.05). After adjusting age, gender, number of missing teeth and other periodontal parameters, OR of having Tf in saliva from DM-well group and DM-poor group was 0.58 and 0.53, respectively. CONCLUSIONS: Abnormal blood glucose state may affect the colonization of Tf in oral cavity.