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Ancient dental calculus preserves signatures of biofilm succession and interindividual variation independent of dental pathology.

Irina M VelskoLena SemerauSarah A InskipMaite I García-ColladoKirsten ZiesemerMaria Serrano RuberLuis Benítez de Lugo EnrichJesús Manuel Molero GarcíaDavid Gallego ValleAna Cristina Peña RuizDomingo C Salazar-GarcíaMenno L P HooglandChristina Warinner
Published in: PNAS nexus (2022)
Dental calculus preserves oral microbes, enabling comparative studies of the oral microbiome and health through time. However, small sample sizes and limited dental health metadata have hindered health-focused investigations to date. Here, we investigate the relationship between tobacco pipe smoking and dental calculus microbiomes. Dental calculus from 75 individuals from the 19th century Middenbeemster skeletal collection (Netherlands) were analyzed by metagenomics. Demographic and dental health parameters were systematically recorded, including the presence/number of pipe notches. Comparative data sets from European populations before and after the introduction of tobacco were also analyzed. Calculus species profiles were compared with oral pathology to examine associations between microbiome community, smoking behavior, and oral health status. The Middenbeemster individuals exhibited relatively poor oral health, with a high prevalence of periodontal disease, caries, heavy calculus deposits, and antemortem tooth loss. No associations between pipe notches and dental pathologies, or microbial species composition, were found. Calculus samples before and after the introduction of tobacco showed highly similar species profiles. Observed interindividual microbiome differences were consistent with previously described variation in human populations from the Upper Paleolithic to the present. Dental calculus may not preserve microbial indicators of health and disease status as distinctly as dental plaque.
Keyphrases
  • oral health
  • healthcare
  • public health
  • mental health
  • microbial community
  • health information
  • endothelial cells
  • staphylococcus aureus
  • machine learning
  • smoking cessation
  • climate change
  • candida albicans