慢性肾脏病对小鼠牙周病相关微生物的影响

目的: 探索慢性肾脏病对小鼠口腔微生物群落组成的影响,筛选种水平的差异物种。方法: 将20只C57BL/6雄性小鼠随机分为4组,即健康对照组（HC）、牙周炎组(PD)、慢性肾脏病组(CKD)和慢性肾脏病复合牙周炎组（CKD+PD）。建立慢性肾脏病模型后的第4周建立牙周炎模型,第6周处死小鼠。采用显微CT扫描分析上颌牙槽骨吸收水平,采用第3代PacBio测序分析口腔微生物组成结构,采用SPSS 24.0软件包对数据进行统计学分析。结果: 4组间上颌牙槽骨吸收水平、组内物种丰度和组间微生物群落整体组成均具有显著性差异（P<0.001）。Streptococcus azizii在CKD组中是差异影响最大的显著富集物种;在CKD+PD组,大肠杆菌（Escherichia coli）为可识别物种中影响最大的差异微生物;而缓慢葡萄球菌（Staphylococcus lentus）和鼠乳杆菌（Lactobacillus murinus）分别是HC组和PD组中差异影响最大的优势物种。结论: 口腔微生态的物种结构在4组间存在较大差异,且各组存在种水平的差异物种。

The effect of chronic kidney disease on periodontitis-related microorganisms in mice

PURPOSE: To explore the effect of chronic kidney disease on the composition of oral microbial community in mice and find the significant species. METHODS: Twenty C57BL/6 male mice were randomly divided into 4 groups: healthy control group (HC), periodontitis group (PD), chronic kidney disease group (CKD) and chronic kidney disease and periodontitis group (CKD+PD). The periodontitis model was created in the fourth week when the chronic kidney disease model was established, and then the mice were sacrificed in the sixth week. Histopathological analysis of the kidney was performed by H-E staining and Masson's trichrome staining. Alveolar bone resorption of maxilla was analyzed by micro-CT analysis. The third-generation full-length sequencing of 16SrRNA gene was used to analyze the composition of oral microbial community among groups. Statistical analysis was performed using SPSS 24.0 software package. RESULTS: There were significant differences in alveolar bone resorption, the richness of species and the overall composition of the microbial community among the four groups (P<0.001). In CKD group, Streptococcus azizii had the most significant abundance. Escherichia coli was the most significantly different species among identifiable bacteria in CKD+PD group, while Staphylococcus lentus and Lactobacillus murinus were species with the most significant differences in HC group and PD group, respectively. CONCLUSIONS: The composition of the oral microbial community was significantly different among four groups with significant species.