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A New Type of Chronic Wound Infection after Wisdom Tooth Extraction: A Diagnostic Approach with 16S-rRNA Gene Analysis, Next-Generation Sequencing, and Bioinformatics

Delayed-onset infections are rare postoperative complications of lower third molar extractions. This article presents a case of a chronic combined hard and soft tissue infection after the extraction of a third molar, where the causative organisms could only be elucidated by molecular methods. Experi...

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Autores principales: Böttger, Sebastian, Zechel-Gran, Silke, Streckbein, Philipp, Knitschke, Michael, Hain, Torsten, Weigel, Markus, Wilbrand, Jan-Falco, Domann, Eugen, Howaldt, Hans-Peter, Attia, Sameh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601215/
https://www.ncbi.nlm.nih.gov/pubmed/32998201
http://dx.doi.org/10.3390/pathogens9100798
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author Böttger, Sebastian
Zechel-Gran, Silke
Streckbein, Philipp
Knitschke, Michael
Hain, Torsten
Weigel, Markus
Wilbrand, Jan-Falco
Domann, Eugen
Howaldt, Hans-Peter
Attia, Sameh
author_facet Böttger, Sebastian
Zechel-Gran, Silke
Streckbein, Philipp
Knitschke, Michael
Hain, Torsten
Weigel, Markus
Wilbrand, Jan-Falco
Domann, Eugen
Howaldt, Hans-Peter
Attia, Sameh
author_sort Böttger, Sebastian
collection PubMed
description Delayed-onset infections are rare postoperative complications of lower third molar extractions. This article presents a case of a chronic combined hard and soft tissue infection after the extraction of a third molar, where the causative organisms could only be elucidated by molecular methods. Experimental 16S-rRNA gene analysis with next-generation sequencing and bioinformatics was used to identify the bacterial spectrum of the infection. 16S-rRNA gene analysis delivered the microbiome of the abscessing inflammation while standard culture and laboratory examinations were all sterile. The microbiome showed a mixed bacterial infection with a dominance of Delftia and Alcanivorax (spp.) besides other bacteria of the normal oral flora. Using 16S-rRNA-gene analysis, next-generation sequencing, and bioinformatics, a new type of chronic wound infection after wisdom tooth extraction was found. The property of Delftia and Alcanivorax (spp.) as water-affine environmental bacteria raises suspicion of infection from contaminated water from a dental unit. Thus, osteotomies of teeth should only be done with sterile cooling water. The 16S-rRNA gene analysis should become a part of the routine diagnostics in medical microbiology.
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spelling pubmed-76012152020-11-01 A New Type of Chronic Wound Infection after Wisdom Tooth Extraction: A Diagnostic Approach with 16S-rRNA Gene Analysis, Next-Generation Sequencing, and Bioinformatics Böttger, Sebastian Zechel-Gran, Silke Streckbein, Philipp Knitschke, Michael Hain, Torsten Weigel, Markus Wilbrand, Jan-Falco Domann, Eugen Howaldt, Hans-Peter Attia, Sameh Pathogens Article Delayed-onset infections are rare postoperative complications of lower third molar extractions. This article presents a case of a chronic combined hard and soft tissue infection after the extraction of a third molar, where the causative organisms could only be elucidated by molecular methods. Experimental 16S-rRNA gene analysis with next-generation sequencing and bioinformatics was used to identify the bacterial spectrum of the infection. 16S-rRNA gene analysis delivered the microbiome of the abscessing inflammation while standard culture and laboratory examinations were all sterile. The microbiome showed a mixed bacterial infection with a dominance of Delftia and Alcanivorax (spp.) besides other bacteria of the normal oral flora. Using 16S-rRNA-gene analysis, next-generation sequencing, and bioinformatics, a new type of chronic wound infection after wisdom tooth extraction was found. The property of Delftia and Alcanivorax (spp.) as water-affine environmental bacteria raises suspicion of infection from contaminated water from a dental unit. Thus, osteotomies of teeth should only be done with sterile cooling water. The 16S-rRNA gene analysis should become a part of the routine diagnostics in medical microbiology. MDPI 2020-09-28 /pmc/articles/PMC7601215/ /pubmed/32998201 http://dx.doi.org/10.3390/pathogens9100798 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Böttger, Sebastian
Zechel-Gran, Silke
Streckbein, Philipp
Knitschke, Michael
Hain, Torsten
Weigel, Markus
Wilbrand, Jan-Falco
Domann, Eugen
Howaldt, Hans-Peter
Attia, Sameh
A New Type of Chronic Wound Infection after Wisdom Tooth Extraction: A Diagnostic Approach with 16S-rRNA Gene Analysis, Next-Generation Sequencing, and Bioinformatics
title A New Type of Chronic Wound Infection after Wisdom Tooth Extraction: A Diagnostic Approach with 16S-rRNA Gene Analysis, Next-Generation Sequencing, and Bioinformatics
title_full A New Type of Chronic Wound Infection after Wisdom Tooth Extraction: A Diagnostic Approach with 16S-rRNA Gene Analysis, Next-Generation Sequencing, and Bioinformatics
title_fullStr A New Type of Chronic Wound Infection after Wisdom Tooth Extraction: A Diagnostic Approach with 16S-rRNA Gene Analysis, Next-Generation Sequencing, and Bioinformatics
title_full_unstemmed A New Type of Chronic Wound Infection after Wisdom Tooth Extraction: A Diagnostic Approach with 16S-rRNA Gene Analysis, Next-Generation Sequencing, and Bioinformatics
title_short A New Type of Chronic Wound Infection after Wisdom Tooth Extraction: A Diagnostic Approach with 16S-rRNA Gene Analysis, Next-Generation Sequencing, and Bioinformatics
title_sort new type of chronic wound infection after wisdom tooth extraction: a diagnostic approach with 16s-rrna gene analysis, next-generation sequencing, and bioinformatics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601215/
https://www.ncbi.nlm.nih.gov/pubmed/32998201
http://dx.doi.org/10.3390/pathogens9100798
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