Application and Perspectives of MALDI-TOF Mass Spectrometry in Clinical Microbiology Laboratories

被引:65
|
作者
Torres-Sangiao, Eva [1 ,2 ]
Leal Rodriguez, Cristina [3 ]
Garcia-Riestra, Carlos [1 ,4 ]
机构
[1] Univ Hosp Complex Santiago Compostela FIDIS CHUS, Fdn Inst Hlth Res, Escherichia Coli Grp, ES-15706 Santiago De Compostela, Spain
[2] Univ Hosp Marques Valdecilla HUMV, Clin Microbiol & Parasitol Lab, ES-39008 Santander, Spain
[3] Univ Copenhagen, Novo Nordisk Fdn Ctr Prot Res, Fac Hlth & Med Sci, DK-2200 Copenhagen, Denmark
[4] Univ Hosp Complex Santiago Compostela CHUS, Clin Microbiol & Parasitol Lab, ES-15706 Santiago De Compostela, Spain
关键词
MALDI-TOF MS; microbial identification; proteomics; resistome; disease biomarkers; LASER-DESORPTION-IONIZATION; TIME-OF-FLIGHT; POSITIVE BLOOD CULTURES; SHORT-TERM INCUBATION; URINARY-TRACT PATHOGENS; RAPID IDENTIFICATION; VITEK-MS; BACTERIAL IDENTIFICATION; GOLD-NANOPARTICLES; SAMPLE PREPARATION;
D O I
10.3390/microorganisms9071539
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Early diagnosis of severe infections requires of a rapid and reliable diagnosis to initiate appropriate treatment, while avoiding unnecessary antimicrobial use and reducing associated morbidities and healthcare costs. It is a fact that conventional methods usually require more than 24-48 h to culture and profile bacterial species. Mass spectrometry (MS) is an analytical technique that has emerged as a powerful tool in clinical microbiology for identifying peptides and proteins, which makes it a promising tool for microbial identification. Matrix assisted laser desorption ionization-time of flight MS (MALDI-TOF MS) offers a cost- and time-effective alternative to conventional methods, such as bacterial culture and even 16S rRNA gene sequencing, for identifying viruses, bacteria and fungi and detecting virulence factors and mechanisms of resistance. This review provides an overview of the potential applications and perspectives of MS in clinical microbiology laboratories and proposes its use as a first-line method for microbial identification and diagnosis.
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页数:19
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