尿路fabiancyberlinnera菌株的鉴定、分子特性及抗真菌敏感性研究

IF 2.2 4区 医学 Q3 MYCOLOGY
Fatma Mutlu Sariguzel , Gamze Kalin Unuvar , Osman Kucukoglu , Omur Mustafa Parkan , Ayse Nedret Koc
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引用次数: 0

摘要

目的从临床标本中分离出一种条件致病菌。通过表型方法可以错误地识别为念珠菌。本研究旨在准确鉴定尿路分离的费比亚霉素菌株,并确定其分子特征和抗真菌敏感性。方法对从尿路样品中分离的29株酵母菌进行研究。采用表型分析、序列分析和MALDI-TOF ms对菌株进行鉴定,对核糖体DNA中不同基因区域(ITS1-2、D1/D2、ef -1- α)进行序列分析。采用邻接法进行系统发育分析。根据CLSI M60-Ed2推荐标准,采用参考肉汤微量稀释法和Sensititre YeastOne肉汤微量稀释法(sensititretmyeastetmast Plate, Thermo Fisher Scientific™,USA)检测菌株对9种抗真菌药物的抗真菌敏感性。结果所有菌株均经常规方法鉴定为C.utulis,而经序列分析和MALDI-TOF ms鉴定为费比氏假丝酵母菌。氟康唑的MIC50/MIC90值均高于其他抗真菌药。结论氟康唑耐药尿路酵母菌感染应考虑使用fabiani。虽然传统的表型方法不足以鉴定cyf .fabianii,但利用核糖体DNA中不同的基因区域(ITS1-2、D1/D2、ef -1- α)和MALDI-TOF质谱进行序列分析可以正确鉴定cyf . fabiii。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification, molecular characterization, and antifungal susceptibility of Cyberlindnera fabianii strains isolated from urinary tract

Objectives

Cyberlindnera fabianii is an opportunistic pathogen isolated from clinical specimens. It can be incorrectly identified as Candida utulis by phenotypic methods. This study aimed to accurately identify Cy.fabianii strains isolated from the urinary tract, and to determine their molecular characterization and antifungal susceptibilities as well.

Methods

Twenty-nine yeast strains isolated from urinary tract samples were studied. Strains were identified by phenotypically, sequence analysis and MALDI-TOF MS. Sequence analysis using different gene regions (ITS1-2,D1/D2,EF-1-alpha) in ribosomal DNA was performed for the molecular analysis. Phylogenetic analysis was done by the neighbor-joining method. Antifungal susceptibilities of strains were determined for nine antifungals by reference broth microdilution and the Sensititre YeastOne broth microdilution method (SensititreTMYeastOneTMAST Plate, Thermo Fisher Scientific™,USA) according to CLSI M60-Ed2 recommendations.

Results

All strains were identified as C.utulis phenotypically by conventional methods, however all strains were identified as Cy.fabianii by sequence analysis and MALDI-TOF MS. It was observed that the gene regions examined in terms of determining evolutionary relatedness did not show intraspecies nucleotide variations. In all strains, the MIC50/MIC90 values for fluconazole were higher than the other antifungals tested.

Conclusion

Cy.fabianii should be considered in fluconazole-resistant urinary tract yeast infections. Although conventional phenotypical methods were insufficient to identify Cy.fabianii, it could be correctly identified with sequence analysis using different gene regions (ITS1-2,D1/D2,EF-1-alpha) in ribosomal DNA and MALDI-TOF MS.

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来源期刊
CiteScore
5.10
自引率
2.80%
发文量
68
审稿时长
6-12 weeks
期刊介绍: The Journal de Mycologie Medicale / Journal of Medical Mycology (JMM) publishes in English works dealing with human and animal mycology. The subjects treated are focused in particular on clinical, diagnostic, epidemiological, immunological, medical, pathological, preventive or therapeutic aspects of mycoses. Also covered are basic aspects linked primarily with morphology (electronic and photonic microscopy), physiology, biochemistry, cellular and molecular biology, immunochemistry, genetics, taxonomy or phylogeny of pathogenic or opportunistic fungi and actinomycetes in humans or animals. Studies of natural products showing inhibitory activity against pathogenic fungi cannot be considered without chemical characterization and identification of the compounds responsible for the inhibitory activity. JMM publishes (guest) editorials, original articles, reviews (and minireviews), case reports, technical notes, letters to the editor and information. Only clinical cases with real originality (new species, new clinical present action, new geographical localization, etc.), and fully documented (identification methods, results, etc.), will be considered. Under no circumstances does the journal guarantee publication before the editorial board makes its final decision. The journal is indexed in the main international databases and is accessible worldwide through the ScienceDirect and ClinicalKey platforms.
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