Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-Sen University, Guangzhou, PR China.
Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, PR China.
Microb Genom. 2022 Jun;8(6). doi: 10.1099/mgen.0.000811.
Although characterization of the baseline oral microbiota has been discussed, the current literature seems insufficient to draw a definitive conclusion on the interactions between the microbes themselves or with the host. This study focuses on the spatial and temporal characteristics of the oral microbial ecosystem in a mouse model and its crosstalk with host immune cells in homeostasis. The V3V4 regions of the 16S rRNA gene of 20 samples from four niches (tongue, buccal mucosa, keratinized gingiva and hard palate) and 10 samples from two life stages (adult and old) were analysed. Flow cytometry (FCM) was used to investigate the resident immune cells. The niche-specialist and age-related communities, characterized based on the microbiota structure, interspecies communications, microbial functions and interactions with immune cells, were addressed. The phylum was the major component in the oral community. The microbial community profiles at the genus level showed that the relative abundances of the genera , and were enriched in the gingiva. The abundance of the genera , and was increased in palatal samples, while the abundance of and was enriched in buccal samples. The genera , and were proportionally enriched in old samples, while and were enriched in adult samples. Network analysis showed that the genus performed as a central node in the buccal module, while in the gingiva module, the central nodes were and . FCM showed that the proportion of Th1 cells in the tongue samples (38.18 % [27.03-49.34 %]) (mean [range]) was the highest. The proportion of γδT cells in the buccal mucosa (25.82 % [22.1-29.54 %]) and gingiva (20.42 % [18.31-22.53 %]) samples was higher (<0.01) than those in the palate (14.18 % [11.69-16.67 %]) and tongue (9.38 % [5.38-13.37 %] samples. The proportion of Th2 (31.3 % [16.16-46.44 %]), Th17 (27.06 % [15.76-38.36 %]) and Treg (29.74 % [15.71-43.77 %]) cells in the old samples was higher than that in the adult samples (<0.01). Further analysis of the interplays between the microbiomes and immune cells indicated that Th1 cells in the adult group, nd Th2, Th17 and Treg cells in the old group were the main immune factors strongly associated with the oral microbiota. For example, Th2, Th17 and Treg cells showed a significantly positive correlation with age-related microorganisms such as , and , while Th1 cells showed a negative correlation. Another positive correlation occurred between Th1 cells and several commensal microbiomes such as , and . Th2, Th17 and Treg cells showed the opposite trend. Together, our findings identify the niche-specialist and age-related characteristics of the oral microbial ecosystem and the potential associations between the microbiomes and the mucosal immune cells, providing critical insights into mucosal microbiology.
虽然已经对基线口腔微生物群进行了特征描述,但目前的文献似乎不足以得出关于微生物本身或与宿主之间相互作用的明确结论。本研究重点关注小鼠模型中口腔微生物生态系统的时空特征及其与宿主免疫细胞在稳态下的相互作用。对来自四个生态位(舌、颊粘膜、角化牙龈和硬腭)的 20 个样本和来自两个生命阶段(成年和老年)的 10 个样本的 16S rRNA 基因 V3V4 区进行了分析。使用流式细胞术(FCM)来研究常驻免疫细胞。基于微生物结构、种间通讯、微生物功能以及与免疫细胞的相互作用,探讨了生态位特化和与年龄相关的群落。门是口腔群落的主要组成部分。在属水平的微生物群落图谱显示,属 、 和 的相对丰度在牙龈中富集。属 、 和 的丰度在腭样本中增加,而属 、 和 的丰度在颊样本中富集。属 、 和 在老年样本中呈比例富集,而属 和 在成年样本中富集。网络分析显示,属 在颊模块中表现为中央节点,而在牙龈模块中,中央节点是 和 。FCM 显示,舌样本中 Th1 细胞的比例(38.18%[27.03-49.34%])(平均值[范围])最高。与腭样本(14.18%[11.69-16.67%])和舌样本(9.38%[5.38-13.37%])相比,颊粘膜(25.82%[22.1-29.54%])和牙龈样本中 γδT 细胞的比例更高(<0.01)。老年样本中 Th2(31.3%[16.16-46.44%])、Th17(27.06%[15.76-38.36%])和 Treg(29.74%[15.71-43.77%])细胞的比例高于成年样本(<0.01)。对微生物组和免疫细胞之间相互作用的进一步分析表明,成年组的 Th1 细胞,以及老年组的 Th2、Th17 和 Treg 细胞是与口腔微生物群强烈相关的主要免疫因素。例如,Th2、Th17 和 Treg 细胞与年龄相关的微生物如 、 和 呈显著正相关,而 Th1 细胞呈负相关。Th1 细胞与一些共生微生物群如 、 和 之间也存在另一种正相关。Th2、Th17 和 Treg 细胞则呈相反趋势。总之,我们的研究结果确定了口腔微生物生态系统的生态位特化和与年龄相关的特征,以及微生物组与粘膜免疫细胞之间的潜在关联,为粘膜微生物学提供了重要的见解。