Jeong Jinuk, Ahn Kung, Mun Seyoung, Yun Kyeongeui, Kim Yeon-Tae, Jung Won, Lee Kyung Eun, Kim Moon-Young, Ahn Yongju, Han Kyudong
Department of Bioconvergence Engineering, Dankook University, Yongin, Republic of Korea.
Department of Human microbiome research HuNbiome Co. Ltd, R&D Center, Seoul, Republic of Korea.
J Oral Microbiol. 2023 Mar 3;15(1):2186591. doi: 10.1080/20002297.2023.2186591. eCollection 2023.
Oral microbial ecosystem could influence intestinal diseases, but there have been insufficient studies demonstrating the association of microbial composition between the oral cavity and the intestinal system. Thus, we aimed to investigate the compositional network within the oral microbiome related to gut enterotype from saliva and stool samples collected from 112 healthy Korean subjects. Here, we performed bacterial 16S amplicon sequencing from clinical samples. Then, we determined oral microbiome type related to individual's gut enterotype for healthy Korean. The co-occurrence analysis was performed to interactivity prediction of microbiome within saliva samples. As a result, it could be classified into two Korean oral microbiome types (KO) and four oral-gut-associated microbiome types (KOGA) according to distribution and significant differences of oral microflora. The co-occurrence analysis showed various bacterial compositional networks linked around and within healthy subjects. The present study was first approach in healthy Koreans to identify the oral microbiome types related to the gut microbiome and investigate their characteristics. Hence, we suggest that our results could be potential healthy control data for identifying differences in microbial composition between healthy people and oral disease patients and studying microbial association with the gut microbial environment (oral-gut microbiome axis).
口腔微生物生态系统可能会影响肠道疾病,但目前尚无足够的研究证明口腔与肠道系统之间微生物组成的关联。因此,我们旨在从112名健康韩国受试者采集的唾液和粪便样本中,研究与肠道肠型相关的口腔微生物组内的组成网络。在此,我们对临床样本进行了细菌16S扩增子测序。然后,我们确定了与健康韩国人个体肠道肠型相关的口腔微生物组类型。对唾液样本中的微生物组进行了共现分析以进行相互作用预测。结果,根据口腔微生物群的分布和显著差异,可将其分为两种韩国口腔微生物组类型(KO)和四种口腔-肠道相关微生物组类型(KOGA)。共现分析显示,健康受试者体内存在各种围绕和内部相连的细菌组成网络。本研究首次对健康韩国人进行了识别与肠道微生物组相关的口腔微生物组类型并研究其特征的研究。因此,我们认为我们的结果可能成为识别健康人与口腔疾病患者之间微生物组成差异以及研究微生物与肠道微生物环境(口腔-肠道微生物组轴)关联的潜在健康对照数据。