Predictive modeling of gingivitis severity and susceptibility via oral microbiota.
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ABSTRACT:
SUBMITTER: Huang S
PROVIDER: S-EPMC4139724 | biostudies-literature | 2014 Sep
REPOSITORIES: biostudies-literature
Publications
Predictive modeling of gingivitis severity and susceptibility via oral microbiota.
Huang Shi S Li Rui R Zeng Xiaowei X He Tao T Zhao Helen H Chang Alice A Bo Cunpei C Chen Jie J Yang Fang F Knight Rob R Liu Jiquan J Davis Catherine C Xu Jian J
The ISME journal 20140320 9
Predictive modeling of human disease based on the microbiota holds great potential yet remains challenging. Here, 50 adults underwent controlled transitions from naturally occurring gingivitis, to healthy gingivae (baseline), and to experimental gingivitis (EG). In diseased plaque microbiota, 27 bacterial genera changed in relative abundance and functional genes including 33 flagellar biosynthesis-related groups were enriched. Plaque microbiota structure exhibited a continuous gradient along the ...[more]
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