Clustering of subgingival microbiota reveals microbial disease ecotypes associated with clinical stages of periodontitis in a cross-sectional study

• Verfasst von: Boutin, Sébastien [VerfasserIn]
• Verfasst von: Hagenfeld, Daniel [VerfasserIn]
• Verfasst von: Zimmermann, Heiko [VerfasserIn]
• Verfasst von: Sayed, Nihad el [VerfasserIn]
• Verfasst von: Becher, Heiko [VerfasserIn]
• Verfasst von: Kim, Ti-Sun [VerfasserIn]
• Verfasst von: Dalpke, Alexander [VerfasserIn]
• Titel: Clustering of subgingival microbiota reveals microbial disease ecotypes associated with clinical stages of periodontitis in a cross-sectional study
• Verf.angabe: Sébastien Boutin, Daniel Hagenfeld, Heiko Zimmermann, Nihad El Sayed, Tanja Höpker, Halina K. Greiser, Heiko Becher, Ti-Sun Kim, Alexander H. Dalpke
• E-Jahr: 2017
• Jahr: 01 March 2017
• Umfang: 13 S.
• Fussnoten: Gesehen am 15.05.2018
• Titel Quelle: Enthalten in: Frontiers in microbiology
• Ort Quelle: Lausanne : Frontiers Media, 2010
• Jahr Quelle: 2017
• Band/Heft Quelle: 8(2017) Artikel-Nummer 340, 13 Seiten
• ISSN Quelle: 1664-302X
• DOI: doi:10.3389/fmicb.2017.00340
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: microbial ecology
• Sach-SW: microbiome
• Sach-SW: Periodontitis
• Sach-SW: Polymicrobial infections
• Sach-SW: Subgingival plaque
• K10plus-PPN: 1575045583

Abstract

Periodontitis is characterized by chronic inflammation associated with alteration of the oral microbiota. In contrast to previous microbiome studies focusing a priori on comparison between extreme phenotypes, our study analyzed a random sample of 85 people. The aim of this study was to link microbial differences to disease’s prevalence and severity. Using next generation sequencing of 16S rRNA amplicons and cluster analysis, we observed that the population can be divided into two major ecotypes: One mainly contained periodontal healthy/mild periodontitis individuals whereas the second ecotype showed a heterogeneous microbial distribution and clustered into three distinct sub-ecotypes. Those sub-ecotypes differed with respect to the frequency of diseased patients and displayed a gradual change in distinct subgingival microbiota that goes along with clinical disease symptoms. In ecotype 2, the subgroup with no clinical signs of disease was linked to an increase of F. nucleatum vincentii but also several other species, while only in “end-stage” dysbiosis classical red complex bacteria gained overweight. Therefore, the microbial disease ecotypes observed in our population can lead to an establishment of an early microbial risk profile for clinically healthy patients.