4.3 Article

Bacterial profiles of saliva in relation to diet, lifestyle factors, and socioeconomic status

Journal

JOURNAL OF ORAL MICROBIOLOGY
Volume 6, Issue -, Pages -

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.3402/jom.v6.23609

Keywords

saliva; HOMIM; bacteria; diet lifestyle

Categories

Funding

  1. Danish Dental Association
  2. Danish Foundation for Mutual Efforts in Dental Care
  3. TrygFonden
  4. Health Insurance Foundation
  5. Simon Spies Foundation

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Background and objective: The bacterial profile of saliva is composed of bacteria from different oral surfaces. The objective of this study was to determine whether different diet intake, lifestyle, or socioeconomic status is associated with characteristic bacterial saliva profiles. Design: Stimulated saliva samples from 292 participants with low levels of dental caries and periodontitis, enrolled in the Danish Health Examination Survey (DANHES), were analyzed for the presence of approximately 300 bacterial species by means of the Human Oral Microbe Identification Microarray (HOMIM). Using presence and levels (mean HOMIM-value) of bacterial probes as endpoints, the influence of diet intake, lifestyle, and socioeconomic status on the bacterial saliva profile was analyzed by Mann-Whitney tests with Benjamini-Hochberg's correction for multiple comparisons and principal component analysis. Results: Targets for 131 different probes were identified in 292 samples, with Streptococcus and Veillonella being the most predominant genera identified. Two bacterial taxa (Streptococcus sobrinus and Eubacterium [11][G-3] brachy) were more associated with smokers than non-smokers (adjusted p-value <0.01). Stratification of the group based on extreme ends of the parameters age, gender, alcohol consumption, body mass index (BMI), and diet intake had no statistical influence on the composition of the bacterial profile of saliva. Conversely, differences in socioeconomic status were reflected by the bacterial profiles of saliva. Conclusions: The bacterial profile of saliva seems independent of diet intake, but influenced by smoking and maybe socioeconomic status.

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