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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7601215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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