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Deciphering Black Extrinsic Tooth Stain Composition in Children Using Metaproteomics
[Image: see text] The present study focuses on the use of a metaproteomic approach to analyze Black Extrinsic Tooth Stains, a specific type of pigmented extrinsic substance. Metaproteomics is a powerful emerging technology that successfully enabled human protein and bacterial identification of this...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928488/ https://www.ncbi.nlm.nih.gov/pubmed/35309464 http://dx.doi.org/10.1021/acsomega.1c04770 |
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author | Hirtz, Christophe Mannaa, Atef Mahmoud Moulis, Estelle Pible, Olivier O’Flynn, Robin Armengaud, Jean Jouffret, Virginie Lemaistre, Camille Dominici, Gabriel Martinez, Alex Yahiaoui Dunyach-Remy, Catherine Tiers, Laurent Lavigne, Jean-Philippe Tramini, Paul Goldsmith, Marie-christine Lehmann, Sylvain Deville de Périère, Dominique Vialaret, Jerome |
author_facet | Hirtz, Christophe Mannaa, Atef Mahmoud Moulis, Estelle Pible, Olivier O’Flynn, Robin Armengaud, Jean Jouffret, Virginie Lemaistre, Camille Dominici, Gabriel Martinez, Alex Yahiaoui Dunyach-Remy, Catherine Tiers, Laurent Lavigne, Jean-Philippe Tramini, Paul Goldsmith, Marie-christine Lehmann, Sylvain Deville de Périère, Dominique Vialaret, Jerome |
author_sort | Hirtz, Christophe |
collection | PubMed |
description | [Image: see text] The present study focuses on the use of a metaproteomic approach to analyze Black Extrinsic Tooth Stains, a specific type of pigmented extrinsic substance. Metaproteomics is a powerful emerging technology that successfully enabled human protein and bacterial identification of this specific dental biofilm using high-resolution tandem mass spectrometry. A total of 1600 bacterial proteins were identified in black stain (BS) samples and 2058 proteins in dental plaque (DP) samples, whereas 607 and 582 human proteins were identified in BS and DP samples, respectively. A large diversity of bacteria genera (142) in BS and DP was identified, showing a high prevalence of Rothia, Kingella, Neisseria, and Pseudopropionibacterium in black stain samples. In this work, the high diversity of the dental microbiota and its proteome is highlighted, including significant differences between black stain and dental plaque samples. |
format | Online Article Text |
id | pubmed-8928488 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-89284882022-03-18 Deciphering Black Extrinsic Tooth Stain Composition in Children Using Metaproteomics Hirtz, Christophe Mannaa, Atef Mahmoud Moulis, Estelle Pible, Olivier O’Flynn, Robin Armengaud, Jean Jouffret, Virginie Lemaistre, Camille Dominici, Gabriel Martinez, Alex Yahiaoui Dunyach-Remy, Catherine Tiers, Laurent Lavigne, Jean-Philippe Tramini, Paul Goldsmith, Marie-christine Lehmann, Sylvain Deville de Périère, Dominique Vialaret, Jerome ACS Omega [Image: see text] The present study focuses on the use of a metaproteomic approach to analyze Black Extrinsic Tooth Stains, a specific type of pigmented extrinsic substance. Metaproteomics is a powerful emerging technology that successfully enabled human protein and bacterial identification of this specific dental biofilm using high-resolution tandem mass spectrometry. A total of 1600 bacterial proteins were identified in black stain (BS) samples and 2058 proteins in dental plaque (DP) samples, whereas 607 and 582 human proteins were identified in BS and DP samples, respectively. A large diversity of bacteria genera (142) in BS and DP was identified, showing a high prevalence of Rothia, Kingella, Neisseria, and Pseudopropionibacterium in black stain samples. In this work, the high diversity of the dental microbiota and its proteome is highlighted, including significant differences between black stain and dental plaque samples. American Chemical Society 2022-02-25 /pmc/articles/PMC8928488/ /pubmed/35309464 http://dx.doi.org/10.1021/acsomega.1c04770 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Hirtz, Christophe Mannaa, Atef Mahmoud Moulis, Estelle Pible, Olivier O’Flynn, Robin Armengaud, Jean Jouffret, Virginie Lemaistre, Camille Dominici, Gabriel Martinez, Alex Yahiaoui Dunyach-Remy, Catherine Tiers, Laurent Lavigne, Jean-Philippe Tramini, Paul Goldsmith, Marie-christine Lehmann, Sylvain Deville de Périère, Dominique Vialaret, Jerome Deciphering Black Extrinsic Tooth Stain Composition in Children Using Metaproteomics |
title | Deciphering Black Extrinsic Tooth Stain Composition
in Children Using Metaproteomics |
title_full | Deciphering Black Extrinsic Tooth Stain Composition
in Children Using Metaproteomics |
title_fullStr | Deciphering Black Extrinsic Tooth Stain Composition
in Children Using Metaproteomics |
title_full_unstemmed | Deciphering Black Extrinsic Tooth Stain Composition
in Children Using Metaproteomics |
title_short | Deciphering Black Extrinsic Tooth Stain Composition
in Children Using Metaproteomics |
title_sort | deciphering black extrinsic tooth stain composition
in children using metaproteomics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8928488/ https://www.ncbi.nlm.nih.gov/pubmed/35309464 http://dx.doi.org/10.1021/acsomega.1c04770 |
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