4.3 Article

Understanding the bacterial compositional network associations between oral and gut microbiome within healthy Koreans

期刊

JOURNAL OF ORAL MICROBIOLOGY
卷 15, 期 1, 页码 -

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TAYLOR & FRANCIS LTD
DOI: 10.1080/20002297.2023.2186591

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Next-generation sequencing; metagenome sequencing; Korean oral microbiome; oral-gut association microbial type; bacterial co-occurrence networks

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This study found a correlation between the composition of oral microbiome and gut microbiome through analyzing saliva and stool samples of Korean subjects. The oral microbiome of Koreans can be classified into two types, and the oral-gut-associated microbiome can be classified into four types. These findings provide valuable data for studying the differences in microbial composition between healthy individuals and oral disease patients, as well as the association between oral and gut microbial environments.
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 Streptococcus and Haemophilus 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).

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