Department of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, NY, 14853, USA.
Department of Clinical Sciences, Cornell University, Ithaca, NY, 14853, USA.
Sci Rep. 2021 Mar 25;11(1):6896. doi: 10.1038/s41598-021-86466-x.
The subgingival microbial communities of domestic cats remain incompletely characterized and it is unknown whether their functional profiles are associated with disease. In this study, we used a shotgun metagenomic approach to explore the functional potential of subgingival microbial communities in client-owned cats, comparing findings between periodontally healthy cats and cats with naturally occurring chronic periodontitis, aggressive periodontitis, and feline chronic gingivostomatitis. Subgingival samples were subjected to shotgun sequencing and the metagenomic datasets were analyzed using the MG-RAST metagenomic analysis server and STAMP v2.1.3 (Statistical Analysis of Metagenomic Profiles) software. The microbial composition was also described to better understand the predicted features of the communities. The Respiration category in the level 1 Subsystems database varied significantly among groups. In this category, the abundance of V-Type ATP-synthase and Biogenesis of cytochrome c oxidases were significantly enriched in the diseased and in the healthy groups, respectively. Both features have been previously described in periodontal studies in people and are in consonance with the microbial composition of feline subgingival sites. In addition, the narH (nitrate reductase) gene frequency, identified using the KEGG Orthology database, was significantly increased in the healthy group. The results of this study provide preliminary functional insights of the microbial communities associated with periodontitis in domestic cats and suggest that the ATP-synthase and nitrate-nitrite-NO pathways may represent appropriate targets for the treatment of this common disease.
本研究采用宏基因组学方法,探索了宠物猫牙周健康和患有慢性牙周炎、侵袭性牙周炎及猫慢性龈口炎的猫的龈下微生物群落的功能潜力。将龈下样本进行宏基因组测序,并使用 MG-RAST 宏基因组分析服务器和 STAMP v2.1.3(宏基因组分析谱的统计分析)软件对宏基因组数据集进行分析。还对微生物组成进行了描述,以更好地了解群落的预测特征。在 1 级亚系统数据库的呼吸类别中,各组之间存在显著差异。在这一类别中,V 型 ATP 合酶和细胞色素 c 氧化酶生物发生的丰度在患病组和健康组中分别显著富集。这两个特征在人类牙周研究中均有描述,与猫龈下部位的微生物组成一致。此外,使用 KEGG Orthology 数据库鉴定的 narH(硝酸还原酶)基因频率在健康组中显著增加。本研究为与宠物猫牙周炎相关的微生物群落提供了初步的功能见解,并表明 ATP 合酶和硝酸盐-亚硝酸盐-NO 途径可能是治疗这种常见疾病的合适靶点。