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A reproducible microcosm biofilm model of subgingival microbial communities.
Fernandez Y Mostajo, M; Exterkate, R A M; Buijs, M J; Beertsen, W; van der Weijden, G A; Zaura, E; Crielaard, W.
  • Fernandez Y Mostajo M; Department of Preventive Dentistry, Academic Centre for Dentistry Amsterdam (ACTA), Amsterdam, the Netherlands.
  • Exterkate RAM; Department of Preventive Dentistry, Academic Centre for Dentistry Amsterdam (ACTA), Amsterdam, the Netherlands.
  • Buijs MJ; Department of Preventive Dentistry, Academic Centre for Dentistry Amsterdam (ACTA), Amsterdam, the Netherlands.
  • Beertsen W; Department of Periodontology, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and VU University, Amsterdam, the Netherlands.
  • van der Weijden GA; Department of Periodontology, Academic Centre for Dentistry Amsterdam (ACTA), University of Amsterdam and VU University, Amsterdam, the Netherlands.
  • Zaura E; Department of Preventive Dentistry, Academic Centre for Dentistry Amsterdam (ACTA), Amsterdam, the Netherlands.
  • Crielaard W; Department of Preventive Dentistry, Academic Centre for Dentistry Amsterdam (ACTA), Amsterdam, the Netherlands.
J Periodontal Res ; 52(6): 1021-1031, 2017 Dec.
Article en En | MEDLINE | ID: mdl-28707424
ABSTRACT

OBJECTIVE:

To develop a reproducible subgingival microcosm biofilm model. MATERIAL AND

METHODS:

Subgingival plaque samples were collected from four deep pockets (probing pocket depth ≥6 mm) in each of seven patients with periodontitis and from shallow pockets (probing pocket depth ≤3 mm) in two periodontally healthy donors. An active attachment model and a peptone medium (Thompson et. al., Appl Environ Microbiol 2015;818307-8314) supplemented with 30% serum was used. Biofilms were harvested at 2 and 4 weeks. DNA of dead cells was blocked for amplification by propidium monoazide treatment. Composition was analyzed using 16S rRNA gene amplicon pyrosequencing. Similarities between the biofilm samples were assessed by non-metric multidimensional scaling using the Bray-Curtis similarity index and similarity percentage analysis. Data from duplicate experiments, different biofilm sources and different biofilm age were compared.

RESULTS:

The non-metric multidimensional scaling revealed a strong clustering by the inoculum source, the donor and their periodontal status. Statistically significant differences were found between the sources of inoculum (P=.0001) and biofilm age (P=.0016). Furthermore, periodontitis biofilms (P) were distinct in composition from health-derived biofilms (H) by genera Porphyromonas (P=19%; H=0%), Filifactor (P=10%; H=0%), Anaeroglobus (P=3%; H=0%), Phocaeicola (P=1.5%; H=0%), Parvimonas (P=19%; H=14%), Fusobacterium (P=2%; H=26%), Peptostreptococcus (P=20%; H=30%), Veillonella (P=7%; H=8%) and 57 other genera. Similarity distances (Bray-Curtis) (mean 0.73, SD 0.15) and the Shannon diversity index (mean 2, SD 0.2) revealed no differences between duplicate experiments (P=.121).

CONCLUSION:

This biofilm model allows reproducible production of complex subgingival microbial communities.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biopelículas / Microbiota / Encía Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Biopelículas / Microbiota / Encía Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Año: 2017 Tipo del documento: Article