Multi-way modelling of oral microbial dynamics and host-microbiome interactions during induced gingivitis

G R van der Ploeg, B W Brandt, B J F Keijser, M H van der Veen, C M C Volgenant, E Zaura, A K Smilde, J A Westerhuis, A Heintz-Buschart

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Gingivitis-the inflammation of the gums-is a reversible stage of periodontal disease. It is caused by dental plaque formation due to poor oral hygiene. However, gingivitis susceptibility involves a complex set of interactions between the oral microbiome, oral metabolome and the host. In this study, we investigated the dynamics of the oral microbiome and its interactions with the salivary metabolome during experimental gingivitis in a cohort of 41 systemically healthy participants. We use Parallel Factor Analysis (PARAFAC), which is a multi-way generalization of Principal Component Analysis (PCA) that can model the variability in the response due to subjects, variables and time. Using the modelled responses, we identified microbial subcommunities with similar dynamics that connect to the magnitude of the gingivitis response. By performing high level integration of the predicted metabolic functions of the microbiome and salivary metabolome, we identified pathways of interest that describe the changing proportions of Gram-positive and Gram-negative microbiota, variation in anaerobic bacteria, biofilm formation and virulence.

Original languageEnglish
Article number89
Pages (from-to)89
Journalnpj Biofilms and Microbiomes
Volume10
Issue number1
DOIs
Publication statusPublished - 19 Sept 2024

Bibliographical note

© 2024. The Author(s).

Keywords

  • Humans
  • Gingivitis/microbiology
  • Microbiota
  • Saliva/microbiology
  • Host Microbial Interactions
  • Metabolome
  • Biofilms/growth & development
  • Female
  • Adult
  • Male
  • Bacteria/classification
  • Principal Component Analysis
  • Mouth/microbiology
  • Young Adult
  • Healthy Volunteers

Fingerprint

Dive into the research topics of 'Multi-way modelling of oral microbial dynamics and host-microbiome interactions during induced gingivitis'. Together they form a unique fingerprint.

Cite this