Manzulli Viviana, Rondinone Valeria, Buchicchio Alessandro, Serrecchia Luigina, Cipolletta Dora, Fasanella Antonio, Parisi Antonio, Difato Laura, Iatarola Michela, Aceti Angela, Poppa Elena, Tolve Francesco, Pace Lorenzo, Petruzzi Fiorenza, Rovere Ines Della, Raele Donato Antonio, Del Sambro Laura, Giangrossi Luigi, Galante Domenico
Istituto Zooprofilattico Sperimentale della Puglia e della Basilicata, Via Manfredonia 20, 71121 Foggia, Italy.
Bruker Italia s.r.l., Daltonics Division, Strada Cluentina, 26/R, 62100 Macerata, Italy.
Microorganisms. 2021 Jun 2;9(6):1202. doi: 10.3390/microorganisms9061202.
Matrix-Assisted Laser Desorption/Ionization Time Of Flight Mass Spectrometry (MALDI-TOF MS) technology is currently increasingly used in diagnostic laboratories as a cost effective, rapid and reliable routine technique for the identification and typing of microorganisms. In this study, we used MALDI-TOF MS to analyze a collection of 160 strains belonging to the group (57 , 49 , 1 , 18 , 27 , 7 and 1 ) and to detect specific biomarkers which would allow an unequivocal identification. The Main Spectra Profiles (MSPs) were added to an in-house reference library, expanding the current commercial library which does not include and mass spectra. The obtained mass spectra were statistically compared by Principal Component Analysis (PCA) that revealed seven different clusters. Moreover, for the identification purpose, were generated dedicate algorithms for a rapid and automatic detection of characteristic ion peaks after the mass spectra acquisition. The presence of specific biomarkers can be used to differentiate strains within the group and to make a reliable identification of , etiologic agent of anthrax, which is the most pathogenic and feared bacterium of the group. This could offer a critical time advantage for the diagnosis and for the clinical management of human anthrax even in case of bioterror attacks.
基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)技术目前在诊断实验室中越来越多地被用作一种经济高效、快速且可靠的常规技术,用于微生物的鉴定和分型。在本研究中,我们使用MALDI-TOF MS分析了一组属于该组的160株菌株(57株 、49株 、1株 、18株 、27株 、7株 和1株 ),并检测能够进行明确鉴定的特定生物标志物。主要光谱图谱(MSP)被添加到一个内部参考库中,扩充了当前不包括 和 质谱的商业库。通过主成分分析(PCA)对获得的质谱进行统计学比较,结果显示有七个不同的聚类。此外,为了鉴定目的,在质谱采集后生成了专门的算法,用于快速自动检测特征离子峰。特定生物标志物的存在可用于区分该组内的菌株,并可靠地鉴定炭疽的病原体 ,它是该组中最具致病性且令人恐惧的细菌。这对于人类炭疽的诊断和临床管理可能会提供关键的时间优势,即使在发生生物恐怖袭击的情况下也是如此。