Predictive modeling of gingivitis severity and susceptibility via oral microbiota
文献类型：期刊论文
| 作者 | Huang, Shi1,2,3; Li, Rui4,5; Zeng, Xiaowei1,2; He, Tao6 ; Zhao, Helen4,5; Chang, Alice4,5; Bo, Cunpei1,2; Chen, Jie1,2; Yang, Fang7; Knight, Rob8,9
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| 刊名 | ISME JOURNAL
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| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：青岛生物能源与过程研究所
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