Predictive modeling of gingivitis severity and susceptibility via oral microbiota

CORC > 青岛生物能源与过程研究所 > 中国科学院青岛生物能源与过程研究所 > 单细胞中心

	Predictive modeling of gingivitis severity and susceptibility via oral microbiota
	Huang, Shi 1,2,3; Li, Rui 4,5; Zeng, Xiaowei 1,2; He, Tao 6; Zhao, Helen 4,5; Chang, Alice 4,5; Bo, Cunpei 1,2; Chen, Jie 1,2; Yang, Fang 7; Knight, Rob 8,9
刊名	ISME JOURNAL
	2014-09-01
卷号	8 期号:9 页码:1768-1780
关键词	gingivitis plaque metagenomics microbial indices of gingivitis
英文摘要	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 first principal component, reflecting transition from healthy to diseased states, which correlated with Mazza Gingival Index. We identified two host types with distinct gingivitis sensitivity. Our proposed microbial indices of gingivitis classified host types with 74% reliability, and, when tested on another 41-member cohort, distinguished healthy from diseased individuals with 95% accuracy. Furthermore, the state of the microbiota in naturally occurring gingivitis predicted the microbiota state and severity of subsequent EG (but not the state of the microbiota during the healthy baseline period). Because the effect of disease is greater than interpersonal variation in plaque, in contrast to the gut, plaque microbiota may provide advantages in predictive modeling of oral diseases.
WOS标题词	Science & Technology ; Life Sciences & Biomedicine
类目[WOS]	Ecology ; Microbiology
研究领域[WOS]	Environmental Sciences & Ecology ; Microbiology
关键词[WOS]	PERIODONTAL-DISEASE ; GUT MICROBIOME ; PLAQUE ; SUBGINGIVAL ; HEALTH ; RESOLUTION ; COMPLEXES ; BACTERIAL ; PATTERNS ; HUMANS
收录类别	SCI
语种	英语
WOS记录号	WOS:000341212600002
公开日期	2015-12-24
内容类型	期刊论文
源URL	[http://ir.qibebt.ac.cn/handle/337004/6170]
专题	青岛生物能源与过程研究所_单细胞中心
作者单位	1.CAS Key Lab Biofuels, Single Cell Ctr, Qingdao, Peoples R China 2.Shandong Key Lab Energy Genet, Qingdao, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China 4.Procter & Gamble Co, Innovat Ctr, Dept Microbiol Capabil Org, Beijing, Peoples R China 5.Procter & Gamble Co, Innovat Ctr, Dept Oral Care Clin Operat, Beijing, Peoples R China 6.Procter & Gamble Co, Mason Business Ctr, Dept Oral Care Clin Operat, Cincinnati, OH USA 7.Qingdao Municipal Hosp, Oral Ctr, Qingdao, Peoples R China 8.Univ Colorado, Howard Hughes Med Inst, BioFrontiers Inst, Dept Chem & Biochem, Boulder, CO 80309 USA 9.Univ Colorado, Howard Hughes Med Inst, BioFrontiers Inst, Dept Comp Sci, Boulder, CO 80309 USA 10.Procter & Gamble Co, Winton Hill Business Ctr, Dept Global Prod Stewardship, Cincinnati, OH USA
推荐引用方式 GB/T 7714	Huang, Shi,Li, Rui,Zeng, Xiaowei,et al. Predictive modeling of gingivitis severity and susceptibility via oral microbiota[J]. ISME JOURNAL,2014,8(9):1768-1780.
APA	Huang, Shi.,Li, Rui.,Zeng, Xiaowei.,He, Tao.,Zhao, Helen.,...&Xu, Jian.(2014).Predictive modeling of gingivitis severity and susceptibility via oral microbiota.ISME JOURNAL,8(9),1768-1780.
MLA	Huang, Shi,et al."Predictive modeling of gingivitis severity and susceptibility via oral microbiota".ISME JOURNAL 8.9(2014):1768-1780.