Dataset Information

First fungemia case due to environmental yeast Wickerhamomyces myanmarensis: detection by multiplex qPCR and antifungal susceptibility.

ABSTRACT: AIM:Presenting the first clinical case of Wickerhamomyces myanmarensis. PATIENTS & METHODS:Yeast cells were isolated from blood and central venous catheter of a 5.5-year-old male subject. API 20C AUX, MALDI-TOF MS, ITS and LSU rDNA sequencing, and our qPCR assay were used for identification and the MIC values were determined by CLSI M27-A3. RESULTS:ITS and LSU rDNA sequencing identified both isolates as W. myanmarensis, while API 20C AUX and MALDI-TOF MS did not identify them correctly. Our qPCR specifically distinguished W. myanmarensis from W. anomalus. Isolate obtained from blood showed a higher MIC value for fluconazole, voriconazole and posaconazole. CONCLUSION:Utilization of reliable identification tools might reveal the genuine spectrum of opportunistic yeast species.

SUBMITTER: Arastehfar A

PROVIDER: S-EPMC6482385 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

First fungemia case due to environmental yeast Wickerhamomyces myanmarensis: detection by multiplex qPCR and antifungal susceptibility.

Arastehfar Amir A Bakhtiari Mina M Daneshnia Farnaz F Fang Wenjie W Sadati Sara Khanjari SK Al-Hatmi Abdullah Ms AM Groenewald Marizeth M Sharifi-Mehr Hamid H Liao Wanqing W Pan Weihua W Zomorodian Kamiar K Hagen Ferry F Boekhout Teun T

Future microbiology 20190312

<h4>Aim</h4>Presenting the first clinical case of Wickerhamomyces myanmarensis.<h4>Patients & methods</h4>Yeast cells were isolated from blood and central venous catheter of a 5.5-year-old male subject. API 20C AUX, MALDI-TOF MS, ITS and LSU rDNA sequencing, and our qPCR assay were used for identification and the MIC values were determined by CLSI M27-A3.<h4>Results</h4>ITS and LSU rDNA sequencing identified both isolates as W. myanmarensis, while API 20C AUX and MALDI-TOF MS did not identify th ...[more]

PMID: 30859860

Similar Datasets

Project description:OBJECTIVES:Candida lusitaniae is an opportunistic yeast pathogen in certain high-risk patient populations/cohorts. The species exhibits an unusual antifungal susceptibility profile with tendency to acquire rapid resistance. Here, we describe prevalence of C. lusitaniae in clinical specimens in Kuwait, its antifungal susceptibility profile and role in neonatal fungemia. METHODS:Clinical C. lusitaniae isolates recovered from diverse specimens during 2011 to 2017 were retrospectively analyzed. All isolates were identified by germ tube test, growth on CHROMagar Candida and by Vitek 2 yeast identification system. A simple species-specific PCR assay was developed and results were confirmed by PCR-sequencing of ITS region of rDNA. Antifungal susceptibility was determined by Etest. Minimum inhibitory concentrations (MICs) were recorded after 24 h incubation at 35°C. RESULTS:Of 7068 yeast isolates, 134 (1.89%) were identified as C. lusitaniae including 25 (2.52%) among 990 bloodstream isolates. Species-specific PCR and PCR-sequencing of rDNA confirmed identification. Of 11 cases of neonatal candidemia, 9 occurred in NICU of Hospital A and are described here. Eight of 9 neonates received liposomal amphotericin B, which was followed by fluconazole in 7 and additionally by caspofungin in 2 cases as salvage therapy. Three of 8 (37.5%) patients died. No isolate exhibited reduced susceptibility to amphotericin B, fluconazole, voriconazole, caspopfungin, micafungin and anidulafungin. The MIC ± geometric mean values for amphotericin B, fluconazole, voriconazole, and caspofungin were as follows: 0.072 ± 0.037 ?g/ml, 2.32 ± 0.49 ?g/ml, 0.09 ± 0.01 ?g/ml and 0.16 ± 0.08 ?g/ml, respectively. Only two isolates exhibited reduced susceptibility to fluconazole. CONCLUSIONS:This study describes the prevalence and antifungal susceptibility profile of clinical C. lusitaniae isolates in Kuwait. No isolate showed reduced susceptibility to amphotericin B. The study highlights the emerging role of C. lusitaniae as a healthcare-associated pathogen capable of causing fungemia in preterm neonates and causing significant mortality.

Project description:Kefir grains are complex microbial systems of several groups of microorganisms. The identification and quantification of the microbial composition of milk kefirs was described in several studies, which provided an insight into the microbial consortia in this complex ecosystem. Nevertheless, the current methods for identification and quantification are not appropriate for deeper studies on kefir consortia, e.g., population dynamics and microbial interactions in kefir grains. This requires another sensitive and reliable quantitative method. Therefore, this study aims to develop multiplexed qPCR assays to specifically detect and quantify, as an example, several microorganisms of the milk kefir microbial community. Primer-probe sets, which target species-specific genes in six bacteria and five yeasts, were designed, and their sensitivity and specificity to the target species was analyzed in simplex as well as four multiplex qPCR assays. The self-designed multiplex assays were applied for the detection of target bacteria and yeast species in milk kefirs, in both, grain and beverage fractions. Detection of all target microorganisms in simplex and multiplex qPCR was achieved by good linearity, efficiency, repeatability and reproducibility in all assays. When the designed assays were applied on six kefirs, all target microorganisms were detected in different samples, but not all in one kefir sample. The two ubiquitous lactobacilli Lactobacillus kefiranofaciens and Lb. kefiri were present in all six kefirs studied, but were associated with different other yeasts and bacteria. Especially on the yeast community a significant diversity was observed. In general, multiplex TaqMan qPCR as developed here was proven to have high potential for specific identification of target microorganisms in kefir samples and for the first time, eleven target bacteria and yeasts of kefir microbiota were rapidly detected and quantified. This study, thus, provides a fast and reliable protocol for future studies on kefir and other similar microbial ecosystems.

Dataset Information

First fungemia case due to environmental yeast Wickerhamomyces myanmarensis: detection by multiplex qPCR and antifungal susceptibility.

Publications

First fungemia case due to environmental yeast Wickerhamomyces myanmarensis: detection by multiplex qPCR and antifungal susceptibility.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure