Sun F, Liu J, Li S Q, Wei Y P, Hu W J, Wang C
Department of Periodontology, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing 100081, China.
Beijing Da Xue Xue Bao Yi Xue Ban. 2023 Feb 18;55(1):30-37. doi: 10.19723/j.issn.1671-167X.2023.01.005.
To describe the submucosal microbial profiles of peri-implantitis and healthy implants, and to explore bacteria that might be correlated with clinical parameters.
In the present cross-sectional study, 49 patients were recruited. Each patient contributed with one implant, submucosal biofilms were collected from 20 healthy implants and 29 implants with peri-implantitis. DNA was extracted and bacterial 16S ribosomal RNA (16S rRNA) genes were amplified. Submucosal biofilms were analyzed using 16S rRNA sequencing at Illumina MiSeq platform. Differences between the groups were determined by analyzing α diversity, microbial component and microbial structure. The potential correlation between the bacteria with pocket probing depth (PPD) of peri-implant calculated by Spearman correlation analysis.
The α diversity of submucosal microbial of health group was significantly lower than that in peri-implantitis group (Chao1 index: 236.85±66.13 150.54±57.43, < 0.001; Shannon index: 3.42±0.48 . 3.02±0.65, =0.032). Principal coordinated analysis showed that the submucosal microbial structure had significant difference between healthy and peri-implantitis groups [=0.243, =0.001, analysis of similarities (ANOSIM)]. Compared with healthy implants, relative abundance of periodontal pathogens were higher in peri-implantitis, including members of the red complex (, , ) and some members of orange complex (, , ), as well as some new periodontal pathogens, such as , , , and Spearman correlation analysis revealed that the relative abundance of (=0.686, < 0.001), (=0.675, < 0.001), (=0.671, < 0.001), (=0.664, < 0.001), (=0.642, < 0.001), (=0.604, < 0.001), (=0.597, < 0.001), (=0.573, < 0.001) were positive correlated with PPD. While the relative abundance of (=-0.615, < 0.001) showed negatively correlation with PPD.
Marked differences were observed in the microbial profiles of healthy implants and peri-implantitis. The members of red and orange complex as well as some new periodontal pathogens seem to play an important role in peri-implant disease. Compared with healthy implants, the submucosal microbial of peri-implantitis were characterized by high species richness and diversity.
描述种植体周围炎和健康种植体的黏膜下微生物特征,并探索可能与临床参数相关的细菌。
在本横断面研究中,招募了49名患者。每名患者提供一枚种植体,从20枚健康种植体和29枚患有种植体周围炎的种植体中收集黏膜下生物膜。提取DNA并扩增细菌16S核糖体RNA(16S rRNA)基因。在Illumina MiSeq平台上使用16S rRNA测序分析黏膜下生物膜。通过分析α多样性、微生物组成和微生物结构来确定组间差异。通过Spearman相关性分析计算种植体周围袋探诊深度(PPD)与细菌之间的潜在相关性。
健康组黏膜下微生物的α多样性显著低于种植体周围炎组(Chao1指数:健康组236.85±66.13,种植体周围炎组150.54±57.43,P<0.001;Shannon指数:健康组3.42±0.48,种植体周围炎组3.02±0.65,P=0.032)。主坐标分析表明,健康组和种植体周围炎组的黏膜下微生物结构存在显著差异[R=0.243,P=0.001,相似性分析(ANOSIM)]。与健康种植体相比,种植体周围炎中牙周病原体的相对丰度更高,包括红色复合体(牙龈卟啉单胞菌、福赛坦氏菌、齿垢密螺旋体)的成员和橙色复合体(中间普氏菌、变黑普氏菌、口腔普氏菌)的一些成员,以及一些新的牙周病原体,如具核梭杆菌、微小微单胞菌、解脲脲原体和齿双歧杆菌。Spearman相关性分析显示,牙龈卟啉单胞菌(R=0.686,P<0.001)、福赛坦氏菌(R=0.675,P<0.001)、齿垢密螺旋体(R=0.671,P<0.001)、中间普氏菌(R=0.664,P<0.001)、变黑普氏菌(R=0.642,P<0.001)、具核梭杆菌(R=0.604,P<0.001)、微小微单胞菌(R=0.597,P<0.001)、解脲脲原体(R=0.573,P<0.001)与PPD呈正相关。而齿双歧杆菌的相对丰度(R=-0.615,P<0.001)与PPD呈负相关。
健康种植体和种植体周围炎的微生物特征存在明显差异。红色和橙色复合体的成员以及一些新的牙周病原体似乎在种植体周围疾病中起重要作用。与健康种植体相比,种植体周围炎的黏膜下微生物具有物种丰富度和多样性高的特点。