scholarly journals Antifungal susceptibilities and identification of Candida species by using maldi-tof microbial identification system from cervicovaginal samples

2017 ◽  
Vol 5 (12) ◽  
pp. 5117
Author(s):  
Göksel Erbaş ◽  
Uğur Parin ◽  
Şükrü Kirkan ◽  
Süheyla Türkyilmaz ◽  
Serap Savaşan ◽  
...  
Keyword(s):  
Candida Species ◽  
Antifungal Susceptibility ◽  
Rapid Identification ◽  
Species Selection ◽  
Vaginal Candidiasis ◽  
Identification System ◽  
Microbial Identification ◽  
Maldi Tof ◽  
Microbial Identification System ◽  
Vitek Ms

Background: Among the vaginal diseases seen in women, candidiasis is in the first place. This disease, which is caused by Candida species, can sometimes persist very stubbornly. The aim of this study was to determine Candida species isolated from vaginal specimens by using VITEK MS (MALDI-TOF Microbial Identification System) rapid identification system and to evaluate their susceptibility to some antifungals.Methods: In this study, 220 cervicovaginal swab were used. Isolates were identified by VITEK MS rapid identification system. After identification, antifungal susceptibility testing was performed using the M-44 A2 guideline of The Clinical and Laboratory Standards Institute (CLSI).Results: Total 16.3% (36) of Candida spp. positivity was determined from 220 cervicovaginal samples, and 25 (69.4%) C. glabrata, 6 (16.7%) C. albicans, 3 (8.3%) C. kefyr and 2 (5.6%) C. krusei were obtained with Vitek MS. All identified C. albicans strains were found to be completely resistant to all antifungals used except nystatin agent, C. krusei strains were found to be resistant to flucytosine but sensitive to all other antifungals, C. glabrata and C. kefyr strains were susceptible to all antifungals within the antifungals used in this study.Conclusions: It is concluded that it is necessary to distinguish Candida species in order to apply a correct treatment. And species selection is very important for the selection of antifungal to be used. Nystatin is recommended if no laboratory tests are to be performed for the diagnosis of Vaginal Candidiasis.

scholarly journals Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system

Aerobiologia ◽  
2015 ◽  
Vol 31 (3) ◽  
pp. 271-281 ◽  
Author(s):  
Else Marie Fykse ◽  
Torbjörn Tjärnhage ◽  
Tarmo Humppi ◽  
Vilde Sørvik Eggen ◽  
Andre Ingebretsen ◽  
...  
Keyword(s):  
16S Rdna ◽  
Identification System ◽  
Airborne Bacteria ◽  
16S Rdna Sequencing ◽  
Maldi Tof Ms ◽  
Microbial Identification ◽  
Maldi Tof ◽  
Rdna Sequencing ◽  
Microbial Identification System ◽  
Tof Ms

scholarly journals Candida auris Clinical Isolates from South Korea: Identification, Antifungal Susceptibility, and Genotyping

2019 ◽  
Vol 57 (4) ◽  
Author(s):  
Yong Jun Kwon ◽  
Jong Hee Shin ◽  
Seung A Byun ◽  
Min Ji Choi ◽  
Eun Jeong Won ◽  
...  
Keyword(s):  
Antifungal Susceptibility ◽  
Diagnostic Tools ◽  
Candida Auris ◽  
Content Type ◽  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Fluconazole Resistant ◽  
Vitek 2 ◽  
Vitek Ms ◽  
Tof Ms

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.

scholarly journals Performances and Reliability of Bruker Microflex LT and VITEK MS MALDI-TOF Mass Spectrometry Systems for the Identification of Clinical Microorganisms

2015 ◽  
Vol 2015 ◽  
pp. 1-18 ◽  
Author(s):  
Kivanc Bilecen ◽  
Gorkem Yaman ◽  
Ugur Ciftci ◽  
Yahya Rauf Laleli
Keyword(s):  
Mass Spectrometry ◽  
Clinical Microbiology ◽  
Identification Accuracy ◽  
Clinical Microbiology Laboratory ◽  
Maldi Tof Ms ◽  
Microbial Identification ◽  
Phenotypic Identification ◽  
Maldi Tof ◽  
Vitek Ms ◽  
Tof Ms

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.

Isolation and Identification of Bacillus from Spontaneous Fermented Sufu

2013 ◽  
Vol 634-638 ◽  
pp. 1179-1183 ◽  
Author(s):  
Jing Deng ◽  
Hua Chang Wu ◽  
Xing Xiu Zhao ◽  
Jiao Jiao Shi
Keyword(s):  
Bacillus Subtilis ◽  
Bacillus Cereus ◽  
Bacillus Amyloliquefaciens ◽  
Fermented Food ◽  
Identification System ◽  
Isolation And Identification ◽  
Spontaneous Fermentation ◽  
Fermentation Products ◽  
Microbial Identification ◽  
Microbial Identification System

Sufu is a traditional Chinese fermented food. The safety of spontaneous fermentation products has been concerned by more and more people. A total of four isolates with big clear halos on the casein medium plate were isolated from spontaneous fermented Sufu in southern Sichuan. A1 and A3 most likely belong to Bacillus cereus B according to their phenotype and Biolog Microbial Identification System. B2 was classified in group as Bacillus amyloliquefaciens B with the same methods. A2 was identified as Bacillus subtilis according to their phenotype and 16SrRNA. The safety of the strains are also discussed.

scholarly journals Prevalence and Antifungal Susceptibility of Candida albicans Causing Vaginal discharge Among Pregnant Women in Lebanon

2019 ◽  
Author(s):  
Nahed Ghaddar ◽  
Elie Anastasiadis ◽  
Rawad Halimeh ◽  
Ali Ghaddar ◽  
Rita Dhar ◽  
...  
Keyword(s):  
Candida Albicans ◽  
Pregnant Women ◽  
Candida Species ◽  
Vaginal Discharge ◽  
Antifungal Susceptibility ◽  
Test Method ◽  
Neonatal Outcomes ◽  
Vaginal Candidiasis ◽  
Adverse Neonatal Outcomes ◽  
Susceptibility Tests

Abstract Background: Vaginal candidiasis is frequently prevalent in pregnant women and is associated with sepsis and adverse neonatal outcomes. This study determined the presence of Candida species in symptomatic pregnant women and evaluated the antifungal susceptibility profile of the isolated strains. It also aimed to explore whether Candida species predicts gestational complications and adverse neonatal outcomes. Methods: A total of 258 pregnant women at 35 to 37 week of gestation participated in this study. Vaginal swabs from these patients were collected at various obstetrics and gynecology clinics in Lebanon for a period of 12 months. Candida isolates were identified at species level and antifungal susceptibility of Candida albicans to fluconazole (FCZ), amphotericin B (AMB), itraconazole (ICZ) and voriconazole (VCZ) was determined by the agar-based E-test method. Results: Among 258 women tested, 100 (39%) were positive for Candida species. C. albicans, C. glabrata and C. krusei were isolated from 42%, 41% and 17% of the women, respectively. C. albicans had significant positive associations with gestational diabetes while C. kreusi or C. glabrata had significant positive associations with gestational complications and vaginal discharge. The antifungal susceptibility tests of C. albicans isolates revealed 97.5%, 90%, 87.5% and 97.5% susceptibility to AMB, FCZ, ICZ and VCZ, respectively. Conclusion: The current study revealed high incidence of both C. albicans and non-C. albicans strains causing vulvovaginitis among pregnant women in Beirut, Lebanon. Whereas the susceptibility rates of C. albicans against AMB and VCZ were high, FCZ and ICZ proved comparatively less efficacious. The resistance profile of circulating C. albicans among pregnant women can predict the best outcome of appropriate prophylaxis or treatment of neonatal candidiasis. Vaginal candida colonization might lead to adverse neonatal outcome or gestational complications thus Candida screening as antennal follow up is advised.

scholarly journals Evaluation of the Biolog automated microbial identification system.

1992 ◽  
Vol 58 (6) ◽  
pp. 2089-2092 ◽  
Author(s):  
J M Klingler ◽  
R P Stowe ◽  
D C Obenhuber ◽  
T O Groves ◽  
S K Mishra ◽  
...  
Keyword(s):  
Identification System ◽  
Microbial Identification ◽  
Microbial Identification System

scholarly journals A multi-country study using MALDI-TOF mass spectrometry for rapid identification of Burkholderia pseudomallei

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wanitda Watthanaworawit ◽  
Tamalee Roberts ◽  
Jill Hopkins ◽  
Ian Gassiep ◽  
Robert Norton ◽  
...  
Keyword(s):  
Burkholderia Cepacia ◽  
Burkholderia Pseudomallei ◽  
Research Unit ◽  
Rapid Identification ◽  
Geographical Differences ◽  
Isolation And Identification ◽  
Maldi Tof ◽  
The Impact ◽  
Vitek Ms

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.

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