scholarly journals MICROBIOCENOSIS OF SKIN IN BROMHIDROSIS PATIENTS

Author(s):  
A. V. Aleshkin ◽  
O. Yu. Borisova ◽  
N. T. Gadua ◽  
S. S. Bochkareva ◽  
V. A. Chernova ◽  
...  

Aim. Evaluate the composition of microorganisms of skin microbiocenosis of axilla in brom-hidrosis patients. Materials and methods. 23 patients were examined (11 - 17 years) under the observation at Pirogov CCDC of the National Medical-Surgery Centre. Identification was carried out using biochemical test-systems BioMerieux VITEK MS MALDI-TOF («bioMerieux», France) and 16SrRNA genesequencing with consequent juxtaposition with EMBL/NCBI. Medium and high degree of skin seeding with microbiota was present in most of the patients with bromhidrosis (52.2 and 43.5%). 137 strains belonging to 5 genera of microorganisms were identified - Corynebacterium, Staphylococcus, Moraxella, Micrococcus, Candida and Bacillus spp. Coiynehacte-rium genus strains (8 species) and Staphylococcus genus (5 species) prevailed in microbiocenosis (89.1%). C. tuberculostearicum strains dominated among Corynebacterium, and S. hominis - Staphylococcus. Conclusion. In most of the cases (82.6%) in patients microbiocenosis of skin of axilla was presented by consortiums of microorganisms with prevalence of Corynebacterium and Staphylococcus microorganisms.

2019 ◽  
Vol 57 (4) ◽  
Author(s):  
Yong Jun Kwon ◽  
Jong Hee Shin ◽  
Seung A Byun ◽  
Min Ji Choi ◽  
Eun Jeong Won ◽  
...  

ABSTRACT Candida auris is an emerging worldwide fungal pathogen. Over the past 20 years, 61 patient isolates of C. auris (4 blood and 57 ear) have been obtained from 13 hospitals in Korea. Here, we reanalyzed those molecularly identified isolates using two matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS) systems, including Biotyper and Vitek MS, followed by antifungal susceptibility testing, sequencing of the ERG11 gene, and genotyping. With a research-use-only (RUO) library, 83.6% and 93.4% of the isolates were correctly identified by Biotyper and Vitek MS, respectively. Using an in vitro diagnostic (IVD) library of Vitek MS, 96.7% of the isolates were correctly identified. Fluconazole-resistant isolates made up 62.3% of the isolates, while echinocandin- or multidrug-resistant isolates were not found. Excellent essential (within two dilutions, 96.7%) and categorical agreements (93.4%) between the Clinical and Laboratory Standards Institute (CLSI) and Vitek 2 (AST-YS07 card) methods were observed for fluconazole. Sequencing ERG11 for all 61 isolates revealed that only 3 fluconazole-resistant isolates showed the Erg11p amino acid substitution K143R. All 61 isolates showed identical multilocus sequence typing (MLST). Pulsed-field gel electrophoresis (PFGE) analyses revealed that both blood and ear isolates had the same or similar patterns. These results show that MALDI-TOF MS and Vitek 2 antifungal susceptibility systems can be reliable diagnostic tools for testing C. auris isolates from Korean hospitals. The Erg11p mutation was seldom found among Korean isolates of C. auris, and multidrug resistance was not found. Both MLST and PFGE analyses suggest that these isolates are genetically similar.


2015 ◽  
Vol 2015 ◽  
pp. 1-18 ◽  
Author(s):  
Kivanc Bilecen ◽  
Gorkem Yaman ◽  
Ugur Ciftci ◽  
Yahya Rauf Laleli

In clinical microbiology laboratories, routine microbial identification is mostly performed using culture based methodologies requiring 24 to 72 hours from culturing to identification. Matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) technology has been established as a cost effective, reliable, and faster alternative identification platform. In this study, we evaluated the reliability of the two available MALDI-TOF MS systems for their routine clinical level identification accuracy and efficiency in a clinical microbiology laboratory setting. A total of 1,341 routine phenotypically identified clinical bacterial and fungal isolates were selected and simultaneously analyzed using VITEK MS (bioMérieux, France) and Microflex LT (Bruker Diagnostics, Germany) MALDI-TOF MS systems. For any isolate that could not be identified with either of the systems and for any discordant result, 16S rDNA gene or ITS1/ITS2 sequencing was used. VITEK MS and Microflex LT correctly identified 1,303 (97.17%) and 1,298 (96.79%) isolates to the species level, respectively. In 114 (8.50%) isolates initial phenotypic identification was inaccurate. Both systems showed a similar identification efficiency and workflow robustness, and they were twice as more accurate compared to routine phenotypic identification in our sample pool. MALDITOF systems with their accuracy and robustness offer a good identification platform for routine clinical microbiology laboratories.


2012 ◽  
Vol 4 (10) ◽  
pp. 3111 ◽  
Author(s):  
Xi Shu ◽  
Miao Liang ◽  
Bo Yang ◽  
Yueyan Li ◽  
Changgeng Liu ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wanitda Watthanaworawit ◽  
Tamalee Roberts ◽  
Jill Hopkins ◽  
Ian Gassiep ◽  
Robert Norton ◽  
...  

Abstract Background Burkholderia pseudomallei is the bacterial causative agent of melioidosis, a difficult disease to diagnose clinically with high mortality if not appropriately treated. Definitive diagnosis requires isolation and identification of the organism. With the increased adoption of MALDI-TOF MS for the identification of bacteria, we established a method for rapid identification of B. pseudomallei using the Vitek MS, a system that does not currently have B. pseudomallei in its in-vitro diagnostic database. Results A routine direct spotting method was employed to create spectra and SuperSpectra. An initial B. pseudomallei SuperSpectrum was created at Shoklo Malaria Research Unit (SMRU) from 17 reference isolates (46 spectra). When tested, this initial SMRU SuperSpectrum was able to identify 98.2 % (54/55) of Asian isolates, but just 46.7 % (35/75) of Australian isolates. Using spectra (430) from different reference and clinical isolates, two additional SMRU SuperSpectra were created. Using the combination of all SMRU SuperSpectra with seven existing SuperSpectra from Townsville, Australia 119 (100 %) Asian isolates and 31 (100 %) Australian isolates were correctly identified. In addition, no misidentifications were obtained when using these 11 SuperSpectra when tested with 34 isolates of other bacteria including the closely related species Burkholderia thailandensis and Burkholderia cepacia. Conclusions This study has established a method for identification of B. pseudomallei using Vitek MS, and highlights the impact of geographical differences between strains for identification using this technique.


PLoS ONE ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. e0177929 ◽  
Author(s):  
Lorena Porte ◽  
Patricia García ◽  
Stephanie Braun ◽  
María Teresa Ulloa ◽  
Mónica Lafourcade ◽  
...  

Pathology ◽  
2012 ◽  
Vol 44 (6) ◽  
pp. 583-585 ◽  
Author(s):  
Patrick Harris ◽  
Ian Winney ◽  
Chris Ashhurst-Smith ◽  
Mark O’Brien ◽  
Stephen Graves

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