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Microbial Analysis of Saliva to Identify Oral Diseases Using a Point-of-Care Compatible qPCR Assay.

Pune N PaquéChristopher HerzJoël S JenzerDaniel B WiedemeierThomas AttinNagihan BostanciGeorgios N BelibasakisKai BaoPhilipp KörnerTanja FritzJulia PrinzPatrick R SchmidlinThomas ThurnheerFlorian J WegehauptKonstantinos MitsakakisJohannes R Peham
Published in: Journal of clinical medicine (2020)
Oral health is maintained by a healthy microbiome, which can be monitored by state-of-the art diagnostics. Therefore, this study evaluated the presence and quantity of ten oral disease-associated taxa (P. gingivalis, T. forsythia, T. denticola, F. nucleatum, C. rectus, P. intermedia, A. actinomycetemcomitans, S. mutans, S. sobrinus, oral associated Lactobacilli) in saliva and their clinical status association in 214 individuals. Upon clinical examination, study subjects were grouped into healthy, caries and periodontitis and their saliva was collected. A highly specific point-of-care compatible dual color qPCR assay was developed and used to study the above-mentioned bacteria of interest in the collected saliva. Assay performance was compared to a commercially available microbial reference test. Eight out of ten taxa that were investigated during this study were strong discriminators between the periodontitis and healthy groups: C. rectus, T. forsythia, P. gingivalis, S. mutans, F. nucleatum, T. denticola, P. intermedia and oral Lactobacilli (p < 0.05). Significant differentiation between the periodontitis and caries group microbiome was only shown for S. mutans (p < 0.05). A clear distinction between oral health and disease was enabled by the analysis of quantitative qPCR data of target taxa levels in saliva.
Keyphrases
  • oral health
  • escherichia coli
  • high resolution
  • biofilm formation
  • mass spectrometry
  • machine learning
  • cystic fibrosis
  • deep learning