Journal article

Publication year: 2020

Journal: Pathogens

Volume number: 9

Issue number: 10

eISSN: 2076-0817

Open access status: Gold

DOI Link: https://doi.org/10.3390/pathogens9100798

Publisher: MDPI

Abstract: 
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.

Harvard Citation style: Boettger, S., Zechel-Gran, S., Streckbein, P., Knitschke, M., Hain, T., Weigel, M., et al. (2020) A New Type of Chronic Wound Infection after Wisdom Tooth Extraction: A Diagnostic Approach with 16S-rRNA Gene Analysis, Next-Generation Sequencing, and Bioinformatics, Pathogens, 9(10), Article 798. https://doi.org/10.3390/pathogens9100798

APA Citation style: Boettger, S., Zechel-Gran, S., Streckbein, P., Knitschke, M., Hain, T., Weigel, M., Wilbrand, J., Domann, E., Howaldt, H., & Attia, S. (2020). A New Type of Chronic Wound Infection after Wisdom Tooth Extraction: A Diagnostic Approach with 16S-rRNA Gene Analysis, Next-Generation Sequencing, and Bioinformatics. Pathogens. 9(10), Article 798. https://doi.org/10.3390/pathogens9100798