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Bacterial Composition and Metabolomics of Dental Plaque From Adolescents
Malmö University, Faculty of Odontology (OD). Department of Pediatric Dentistry, Institute for Postgraduate Dental Education, Jönköping, Sweden; Centre for Oral Health, School of Health and Welfare, Jönköping University, Jönköping, Sweden.
Centre for Oral Health, School of Health and Welfare, Jönköping University, Jönköping, Sweden; Folktandvården Skåne, The Swedish Dental Service of Skåne, Lund, Sweden.
Malmö University, Faculty of Odontology (OD). Centre for Oral Health, School of Health and Welfare, Jönköping University, Jönköping, Sweden; Folktandvården Skåne, The Swedish Dental Service of Skåne, Lund, Sweden.ORCID iD: 0000-0001-5145-8220
Department of Health & Genomics, Foundation for the Promotion of Health and Biomedical Research (FISABIO) Foundation, Valencia, Spain.
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2021 (English)In: Frontiers in Cellular and Infection Microbiology, E-ISSN 2235-2988, Vol. 11, article id 716493Article in journal (Refereed) Published
Abstract [en]

Supragingival dental plaque samples were collected from 40 Swedish adolescents, including 20 with caries lesions (CAR) and 20 caries-free (CF). Fresh plaque samples were subjected to an ex vivo acid tolerance (AT) test where the proportion of bacteria resistant to an acid shock was evaluated through confocal microscopy and live/dead staining, and the metabolites produced were quantified by 1H Nuclear Magnetic Resonance (1H NMR). In addition, DNA was extracted and the 16S rRNA gene was sequenced by Illumina sequencing, in order to characterize bacterial composition in the same samples. There were no significant differences in AT scores between CAR and CF individuals. However, 7 out of the 10 individuals with highest AT scores belonged to the CAR group. Regarding bacterial composition, Abiotrophia, Prevotella and Veillonella were found at significantly higher levels in CAR individuals (p=0.0085, 0.026 and 0.04 respectively) and Rothia and Corynebacterium at significantly higher levels in CF individuals (p=0.026 and 0.003). The caries pathogen Streptococcus mutans was found at low frequencies and was absent in 60% of CAR individuals. Random-forest predictive models indicate that at least 4 bacterial species or 9 genera are needed to distinguish CAR from CF adolescents. The metabolomic profile obtained by NMR showed a significant clustering of organic acids with specific bacteria in CAR and/or high AT individuals, being Scardovia wiggsiae the species with strongest associations. A significant clustering of ethanol and isopropanol with health-associated bacteria such as Rothia or Corynebacterium was also found. Accordingly, several relationships involving these compounds like the Ethanol : Lactate or Succinate : Lactate ratios were significantly associated to acid tolerance and could be of predictive value for caries risk. We therefore propose that future caries risk studies would benefit from considering not only the use of multiple organisms as potential microbial biomarkers, but also their functional adaptation and metabolic output.

Place, publisher, year, edition, pages
Frontiers Media S.A., 2021. Vol. 11, article id 716493
Keywords [en]
NMR, Rothia, Streptococcus mutans (S. mutans), acid tolerance, caries risk (assessment), dental caries, metabolomics (OMICS), microbiome
National Category
Dentistry
Identifiers
URN: urn:nbn:se:mau:diva-44983DOI: 10.3389/fcimb.2021.716493ISI: 000684641700001PubMedID: 34395316Scopus ID: 2-s2.0-85112476194OAI: oai:DiVA.org:mau-44983DiVA, id: diva2:1586493
Available from: 2021-08-20 Created: 2021-08-20 Last updated: 2026-08-26Bibliographically approved
In thesis
1. On Caries Risk Assessment Models and Potential Predictive Biomarkers for Caries in Adolescents
Open this publication in new window or tab >>On Caries Risk Assessment Models and Potential Predictive Biomarkers for Caries in Adolescents
2026 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Dental caries risk assessment remains challenging, particularly among adolescents, where biological and behavioural factors influence caries risk. The aim of this thesis was to evaluate existing multivariable prediction models for caries development and to investigate microbial and host-related characteristics in dental plaque and saliva associated with caries experience in adolescents. Paper I systematically reviewed and critically appraised development and validation studies of multivariable prediction models for caries development. Twenty-one studies describing 66 prediction models were included. Model performance was generally low to moderate, and only a few models demonstrated clinically useful predictive ability. All studies were assessed as having a high risk of bias, most commonly related to the analysis domain. Previous caries experience was the most frequently retained predictor, whereas biological variables were included less consistently. Paper II investigated bacterial composition, acid tolerance, and metabolomic profiles of dental plaque in adolescents with and without caries experience. No significant difference in overall acid tolerance was observed between groups, although acid tolerance tended to be higher among adolescents with caries experience. Caries experience was associated with differences in microbial community composition and metabolic activity, including higher relative abundances of Abiotrophia, Prevotella, and Veillonella, whereas Rothia and Corynebacterium were associated with caries-free individuals. Community- level microbial and metabolic patterns discriminated between groups more clearly than individual taxa, supporting an ecological understanding of caries. Paper III examined salivary proteins and metabolites in the same adolescent cohort as in paper II. Individual salivary variables generally showed limited discriminatory ability. In contrast, multivariate models combining a small number of salivary compounds demonstrated good discrimination between adolescents with and without caries experience, with area under the curve values ranging from 0.87 to 0.93 across morning and afternoon samples. In conclusion, current caries prediction models show important methodological limitations and limited predictive performance. The findings support the ecological plaque hypothesis and suggest that microbial community characteristics, metabolic activity, and salivary profiles may complement traditional caries risk assessment. Further longitudinal studies are required to determine their value as predictors of future caries development.

Place, publisher, year, edition, pages
Malmö: Malmö University Press, 2026. p. 99
Series
Malmö University Odontological Dissertations, ISSN 1650-6065, E-ISSN 2004-9307
National Category
Odontology
Identifiers
urn:nbn:se:mau:diva-87642 (URN)10.24834/isbn.9789178778041 (DOI)978-91-7877-803-4 (ISBN)978-91-7877-804-1 (ISBN)
Public defence
2026-09-25, Odontologiska fakulteten KL:2370 Aula, Smedjegatan 16, Malmö, 09:00 (English)
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Available from: 2026-08-26 Created: 2026-08-26 Last updated: 2026-09-04Bibliographically approved

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Havsed, KristianJansson, HenrikNeilands, JessicaSvensäter, Gunnel

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