Project description:The present study focuses on the use of a metaproteomic approach to analyse Black Extrinsic Tooth Stains, a specific type of pigmented extrinsic substance, in a cohort of 96 Children. Metaproteomics is a powerful emerging technology that successfully enabled human protein and bacterial identification of this specific dental biofilm using mass spectrometry. 1600 bacterial proteins were identified in black stains (BS) samples and 2058 proteins in dental plaque (DP) samples whereas 607 and 582 human proteins identified in (BS and DP, respectively). 132 genera bacteria in black stains and dental plaque were identified using phylopeptidomic analysis, showing prevalence of Rothia, Kingella, Nesseria and Pseudopropionibatcterium in black stains samples. We additionally confirmed the metaproteomic approach by performing 16S rRNA. In this work, we showed an interesting diversity of the microbiota and proteome including significant difference between Black stain and dental plaque samples.
Project description:This study compared the subgingival microbiota of subjects with periodontitis to those with periodontal health using the Human Oral Microbe Identification Microarray (HOMIM).
Project description:We investigated the association between subgingival bacterial profiles and gene expression patterns in gingival tissues of patients with periodontitis. A total of 120 patients undergoing periodontal surgery contributed with a minimum of two interproximal gingival papillae (range 2-4) from a maxillary posterior. Prior to tissue harvesting, subgingival plaque samples were collected from the mesial and distal aspects of each papilla. Gingival tissue RNA was extracted, reverse-transcribed, labeled, and hybridized with whole-genome microarrays (310 in total)
