Department of Oral Biology, School of Dental Medicine, University at Buffalo, Buffalo, NY.
Department of Biostatistics, School of Public Health and Health Professions, University at Buffalo.
J Periodontol. 2019 Jan;90(1):26-34. doi: 10.1002/JPER.18-0167. Epub 2018 Sep 5.
A comparison of the salivary microbiome of non-diabetic and diabetic cohorts having periodontal health, gingivitis and periodontitis could reveal microbial signatures unique to each group that will increase understanding of the role of oral microbiota in the pathogenesis of disease, and assist with diagnosis and risk assessment for both periodontal disease and diabetes.
A group of individuals diagnosed with type 2 diabetes (T2D) was compared with a group without T2D. For both the diabetic and non-diabetic cohorts, three subgroups were established: periodontal health, gingivitis, and periodontitis. Salivary DNA was extracted (n = 146), polymerase chain reaction was performed to amplify 16S rRNA hypervariable region V3-V4, and constructed libraries were sequenced and subjected to bioinformatic and statistical analyses.
Microbiome analysis resulted in 88 different genus level operational taxonomic units (OTUs) for differential abundance testing. Results were largely described by two trends. Trend 1 showed OTUs that increased in abundance with increasing periodontal disease, and in diabetics relative to non-diabetics. Trend 1 OTUs comprised a mix of primarily anaerobic commensals and potential periodontopathogens. Trend 2 was driven primarily by genera that decreased in abundance in those with diabetes relative to those without diabetes, which included other anaerobes associated with periodontal disease. Overall, oral microbial diversity decreased in diabetics and increased with progression of periodontal disease compared with periodontally healthy controls.
Although select microbiota increased in both diabetes and periodontal disease progression, these genera decreased in co-existing diabetes and periodontal disease. These findings suggest that the genera abundance continues to change with additional stress imposed by co-existing conditions.
比较牙周健康、牙龈炎和牙周炎的非糖尿病和糖尿病队列的唾液微生物组,可能揭示每个组特有的微生物特征,从而增加对口腔微生物群在疾病发病机制中的作用的理解,并有助于牙周病和糖尿病的诊断和风险评估。
将一组被诊断为 2 型糖尿病(T2D)的个体与一组没有 T2D 的个体进行比较。对于糖尿病和非糖尿病队列,均建立了三个亚组:牙周健康、牙龈炎和牙周炎。提取唾液 DNA(n=146),进行聚合酶链反应以扩增 16S rRNA 高变区 V3-V4,并构建文库进行测序和生物信息学和统计分析。
微生物组分析导致 88 个不同的属水平操作分类单位(OTUs)进行差异丰度测试。结果主要由两个趋势描述。趋势 1 显示,随着牙周病的增加,OTUs 的丰度增加,并且在糖尿病患者中相对于非糖尿病患者增加。趋势 1 OTUs 由主要厌氧菌共生菌和潜在牙周病原体组成。趋势 2 主要由在糖尿病患者中相对非糖尿病患者减少的属驱动,其中包括与牙周病相关的其他厌氧菌。总体而言,与牙周健康对照组相比,糖尿病患者的口腔微生物多样性降低,且随着牙周病的进展而增加。
尽管选择的微生物群在糖尿病和牙周病进展中都增加,但这些属在同时存在的糖尿病和牙周病中减少。这些发现表明,随着共存条件施加的额外压力,属丰度继续发生变化。