Improvement of a MALDI-TOF database for the reliable identification of Candidozyma auris (formally Candida auris) and related species.

IF 3.7 2区 生物学 Q2 MICROBIOLOGY Microbiology spectrum Pub Date : 2024-11-19 DOI:10.1128/spectrum.01444-24
Hui-Hui Zhu, Miao-Miao Liu, Teun Boekhout, Qi-Ming Wang
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Abstract

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) is a promising technique for the rapid identification microorganisms. The aim of this study was to create a new database for the accurate identification of Candidozyma auris (formerly known as Candida auris) and 11 species of the Candidozyma haemuli species complex, including C. chanthaburiensis, C. duobushaemuli, C. haemuli, C. heveicola, C. khanbhai, C. konsanensis, C. metrosideri, C. ohialehuae, C. pseudohaemuli, C. ruelliae, and C. vulturna. Seventy-one Candidozyma isolates from different national institutions were studied. Thirty-seven strains were used to create a MALDI-TOF (microTyper MS) database using the formic acid extraction method. The validation of this database was performed with 34 other strains of the genus Candidozyma, and the result was compared with the identification results when using DBRs v1.0.0.4 (Tianrui, China). Our library allowed a 100% identification of the evaluated strains with all strains showing log scores of >2.0. Repeatability and reproducibility tests result showed a coefficient of variation of the log score values of less than 5%. The MALDI-TOF MS system can identify C. auris and related species quickly and accurately. This method will play a crucial role in accurately diagnosing infectious agents of the genus Candidozyma in clinical practice.

Importance: Importance Candidozyma auris, also known as Candida auris, has quickly spread across the world, and prompt identification of C. auris from infected individuals is critical. However, a standard identification method is lacking for the identification of C. auris in clinical and public health laboratories. To make matters worse, its biochemical assimilation profile was found to be similar to that of closely related and even no-related species, leading to frequent misidentification. To improve diagnostics of this and closely related species, we created a database of reference mass spectra resulting in the efficient and correct identification of all Candidozyma species by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Moreover, potential pathogenic species of Candidozyma can be effectively identified by MALDI-TOF MS, and differentiated from non-clinically relevant phylogenetic relatives. Thus, MALDI-TOF MS may help expedite laboratory diagnosis and treatment of C. auris and related species of clinical importance and help the clinician to decide on early treatment.

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改进 MALDI-TOF 数据库,以可靠地鉴定 Candidozyma auris(正式名称为 Candida auris)和相关物种。
基质辅助激光解吸电离飞行时间质谱法(MALDI-TOF MS)是一种很有前途的快速鉴定微生物的技术。本研究的目的是建立一个新的数据库,用于准确鉴定 Candidozyma auris(原名 Candida auris)和 Candidozyma haemuli 物种复合体的 11 个物种,包括 C. chanthaburiensis、C.haemuli、C. heveicola、C. khanbhai、C. konsanensis、C. metrosideri、C. ohialehuae、C. pseudohaemuli、C. ruelliae 和 C. vulturna。研究了来自不同国家机构的 71 株 Candidozyma 分离物。利用甲酸提取法,37 株菌株被用于创建 MALDI-TOF(microTyper MS)数据库。用 34 株其他的念珠菌属菌株对该数据库进行了验证,并将验证结果与使用 DBRs v1.0.0.4 (天瑞公司,中国)的鉴定结果进行了比较。我们的菌株库可以 100% 鉴定所评估的菌株,所有菌株的对数分数都大于 2.0。重复性和再现性测试结果表明,对数评分值的变异系数小于 5%。MALDI-TOF MS 系统能快速、准确地鉴定蛔虫和相关物种。该方法将在临床实践中准确诊断念珠菌属感染性病原体方面发挥重要作用:重要性:念珠菌属(Candidozyma auris)又称白色念珠菌属(Candida auris),已迅速在全球蔓延,因此及时从感染者身上鉴定念珠菌属至关重要。然而,在临床和公共卫生实验室中,尚缺乏用于鉴定念珠菌的标准鉴定方法。更糟糕的是,人们发现它的生化同化特征与近亲甚至无亲缘关系的物种相似,导致经常出现错误鉴别。为了改进对该菌及其近缘菌种的诊断,我们创建了一个参考质谱数据库,通过基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)对所有念珠菌菌种进行了高效、正确的鉴定。此外,MALDI-TOF 质谱还能有效鉴定出潜在的致病性念珠菌,并将其与非临床相关的系统发育亲缘种区分开来。因此,MALDI-TOF MS 有助于加快实验室诊断和治疗具有临床重要性的念珠菌和相关菌种,并帮助临床医生决定早期治疗。
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来源期刊
Microbiology spectrum
Microbiology spectrum Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.20
自引率
5.40%
发文量
1800
期刊介绍: Microbiology Spectrum publishes commissioned review articles on topics in microbiology representing ten content areas: Archaea; Food Microbiology; Bacterial Genetics, Cell Biology, and Physiology; Clinical Microbiology; Environmental Microbiology and Ecology; Eukaryotic Microbes; Genomics, Computational, and Synthetic Microbiology; Immunology; Pathogenesis; and Virology. Reviews are interrelated, with each review linking to other related content. A large board of Microbiology Spectrum editors aids in the development of topics for potential reviews and in the identification of an editor, or editors, who shepherd each collection.
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