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利用 MALDI-TOF 质谱法检测烟曲霉复合体分离株中的唑类耐药性。

Detection of azole resistance in Aspergillus fumigatus complex isolates using MALDI-TOF mass spectrometry.

机构信息

Clinical Microbiology and Infectious Diseases Department, Hospital General Universitario Gregorio Marañón, Madrid, Spain; Instituto de Investigación Sanitaria Gregorio Marañón, Madrid, Spain.

Clover Bioanalytical Software, Av. de la Innovación, Granada, Spain.

出版信息

Clin Microbiol Infect. 2022 Feb;28(2):260-266. doi: 10.1016/j.cmi.2021.06.005. Epub 2021 Jun 17.

Abstract

OBJECTIVES

The main goal of this study was to accurately detect azole resistance in species of the Aspergillus fumigatus complex by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS).

METHODS

Identification of isolates (n = 868) was done with MALDI-TOF MS using both commercial and in-house libraries. To determine azole susceptibility, the EUCAST E.Def. 9.3.2 method was applied as the reference standard. Identification of resistant isolates was confirmed by DNA sequence analysis. Protein spectra obtained by MALDI-TOF MS were analysed to differentiate species within the A. fumigatus complex and to detect azole-resistant A. fumigatus sensu stricto isolates.

RESULTS

Correct discrimination of A. fumigatus sensu stricto from cryptic species was accomplished in 100% of the cases applying principal component analysis (PCA) to protein spectra generated by MALDI-TOF MS. Furthermore, a specific peak (4586 m/z) was found to be present only in cryptic species. The application of partial least squares (PLS) discriminant analysis allowed 98.43% (±0.038) discrimination between susceptible and azole-resistant A. fumigatus sensu stricto isolates. Finally, based on PLS and SVM, A. fumigatus sensu stricto isolates with different cyp51A gene mutations were correctly clustered in 91.5% of the cases.

CONCLUSIONS

MALDI-TOF MS combined with peak analysis is a novel tool that allows the differentiation of A. fumigatus sensu stricto from other species within the A. fumigatus complex, as well as the detection of azole-resistant A. fumigatus sensu stricto. Although further studies are still needed, the results reported here show the great potential of MALDI-TOF and machine learning for the rapid detection of azole-resistant Aspergillus fumigatus isolates from clinical origins.

摘要

目的

本研究的主要目的是通过基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)准确检测烟曲霉复合体中唑类耐药性。

方法

使用 MALDI-TOF MS 结合商业和内部库对 868 株分离株进行鉴定。为了确定唑类药物敏感性,应用 EUCAST E.Def.9.3.2 方法作为参考标准。通过 DNA 序列分析确认耐药分离株。对 MALDI-TOF MS 获得的蛋白谱进行分析,以区分烟曲霉复合体中的种,并检测烟曲霉严格意义上的唑类耐药株。

结果

应用主成分分析(PCA)对 MALDI-TOF MS 生成的蛋白谱进行分析,100%正确区分烟曲霉严格意义上与隐种。此外,发现一个特定的峰(4586 m/z)仅存在于隐种中。应用偏最小二乘法(PLS)判别分析可以 98.43%(±0.038)区分敏感和唑类耐药的烟曲霉严格意义上的分离株。最后,基于 PLS 和 SVM,91.5%的情况下可以正确聚类具有不同 Cyp51A 基因突变的烟曲霉严格意义上的分离株。

结论

MALDI-TOF MS 结合峰分析是一种新的工具,可区分烟曲霉严格意义上与烟曲霉复合体中的其他种,以及检测唑类耐药的烟曲霉严格意义上的分离株。虽然还需要进一步研究,但这里报告的结果表明 MALDI-TOF 和机器学习在快速检测临床来源的唑类耐药烟曲霉分离株方面具有巨大潜力。

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