Rapid identification of oral Actinomyces species cultivated from subgingival biofilm by MALDI-TOF-MS
| العنوان: | Rapid identification of oral Actinomyces species cultivated from subgingival biofilm by MALDI-TOF-MS |
|---|---|
| المؤلفون: | Toralf Borgmann, Klaus Eschrich, Holger Jentsch, Catalina Suzana Stingu, Wolfgang Schellenberger, Paul Vielkind, Arne C. Rodloff |
| المصدر: | Journal of Oral Microbiology; Vol 7 (2015) Journal of Oral Microbiology, Vol 7, Iss 0, Pp 1-6 (2015) Journal of Oral Microbiology |
| بيانات النشر: | Informa UK Limited, 2015. |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | Microbiology (medical), biology, Sequence analysis, lcsh:QR1-502, biology.organism_classification, 16S ribosomal RNA, Isolation (microbiology), MALDI-TOF-MS, Microbiology, lcsh:Microbiology, lcsh:Infectious and parasitic diseases, oral Actinomyces, Matrix-assisted laser desorption/ionization, Infectious Diseases, Genotype, Original Article, support vector machine, lcsh:RC109-216, Dentistry (miscellaneous), Identification (biology), Diagnostics, basic oral microbiology, Bacteria, Actinomyces |
| الوصف: | Background: Actinomyces are a common part of the intestinal flora of the human intestinal tract, genito-urinary system and skin. Isolation and identification of Actinomyces by conventional methods is offten difficult and time-consuming. In recent years, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) has become a rapid and simple method to identify bacteria. Objective: The present study aimed to evaluate the use and value of MALDI-TOF-MS for rapid identification of different species of oral Actinomyces cultivated from subgingival biofilm. Design: Ten reference strains and 674 clinical strains were used in this study. The genotype of the reference strains and of 232 clinical strains was identified by sequence analysis of the 16S ribosomal RNA. The remaining strains were preliminary identified using biochemical methods and then subjected to MALDI-TOF-MS analysis using both similarity based analysis and classification methods (support vector machine). Results: the sequence analysis of 16S rRNA gene of all reference strains confirmed their previous identification. The MALDI-TOF-MS spectzra obtained from the reference strains and the other clinical strains undoubtedly identified as Actinomyces by 16S rRNA were used to create the mass spectra reference database. Already a visual inspection of the mass spectra of different species reveals both, similarities and differences. However, the difference between them are not large enough to allow reliable differentiation of them by similarity analysis. therefore, classification methods were applied as an alternative approach for differentiation and identification of Actinomyces at the species level. A cross-validation of the reference database representing 14 Actinomyces species yielded correct results for all species which were represented by more than 2 strains in the database. Conclusion: Our results suggests that a combination of MALDI-TOF-MS with powerful classification algorithms, like support vector machines, provides a useful tool for the differentiation and identification of oral Actinomyces. Keywords: MALDI-TOF-MS, oral Actinomyces , support vector machine |
| وصف الملف: | application/pdf; text/html; application/epub+zip; text/plain |
| تدمد: | 2000-2297 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56b29688fd4a0fa7d4f29fda52b7d901Test https://doi.org/10.3402/jom.v7.26110Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....56b29688fd4a0fa7d4f29fda52b7d901 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20002297 |
|---|