病原真菌基质辅助激光解吸电离飞行时间质谱技术鉴定准确性影响因素的研究进展

Progress in research of factors affecting accuracy of identification of pathogenic fungi by matrix-assisted laser desorption ionization time-of-flight mass spectrometry

  • 摘要: 由于免疫功能低下患者的不断增多,侵袭性真菌感染(IFI)在过去几年中显著增长。 IFI发病率和死亡率高,通常难以诊断和治疗。据估计,侵袭性真菌感染每年可导致约150万人死亡,死亡率超过50.00%。 临床实验室中对丝状真菌的鉴定通常基于对分离培养的菌落进行形态学及分子生物学检查,这一过程耗时长且操作步骤相对复杂。 基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)技术简单、快速、高效、通量高、成本低,弥补了临床上微生物常规鉴定的短板。 如今,MALDI-TOF MS技术已经成为大多数临床实验室细菌鉴定的主流平台。 然而,其在丝状真菌鉴定中的应用一直较为滞后,主要归因于缺乏真菌蛋白质提取方案的规范化工作流程,并且真菌数据库不够完善。 目前,对于病原真菌MALDI-TOF MS鉴定结果的影响因素的研究非常有限,本篇综述描述并分析了病原真菌MALDI-TOF MS鉴定准确性的影响因素,重点关注并比较了不同培养条件和数据库等对MALDI-TOF MS技术鉴定病原真菌的影响。

     

    Abstract: The incidence of invasive fungal infection (IFI) increased significantly in the past few years due to the increase of immunocompromised patients. The morbidity and mortality of IFI are high, and the diagnosis and treatment of IFI are usually difficult. It is estimated that the mortality rate of IFI exceeds 50.00% and approximately 1.5 million deaths can be caused by IFI annually. The identification of filamentous fungi in the clinical laboratory is usually based on morphological and molecular biological examination of cultured colonies isolated, which is a slow and complex process. Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) is a simple, rapid, efficient, high-throughput, and low-cost method and can be used in the routine identification of microorganisms in clinical microbiology laboratories. Nowadays, MALDI-TOF MS has become the mainstream technique for bacterial identification in most clinical laboratories. However, its application in the identification of filamentous fungi is not wide, which is mainly attributed to the lack of standardized protocol for protein extraction and limited fungus databases. In addition, there is limited research on the factors affecting the accuracy of MALDI-TOF MS identification of pathogenic fungi. This paper describes and analyzes the factors affecting the accuracy of MALDI-TOF MS identification of pathogenic fungi, focusing on the impacts of different culture conditions and databases.

     

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