Berlamont Helena, De Witte Chloë, De Bruyckere Sofie, Fox James G, Backert Steffen, Smet Annemieke, Boyen Filip, Haesebrouck Freddy
Department of Pathology, Bacteriology and Poultry Diseases, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium.
Division of Comparative Medicine, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Pathogens. 2021 Mar 18;10(3):366. doi: 10.3390/pathogens10030366.
Gastric helicobacters ( () and non- species (NHPHs)) colonize the stomach of humans and/or animals. species identification is essential since many of them are recognized as human and/or animal pathogens. Currently, species can only be differentiated using molecular methods. Differentiation between NHPHs using MALDI-TOF MS has not been described before, probably because these species are poorly represented in current MALDI-TOF MS databases. Therefore, we identified 93 gastric isolates of 10 different species using MALDI-TOF MS in order to establish a more elaborate reference database. While the MALDI Biotyper database was not able to correctly identify any of the isolates, the in-house database correctly identified all individual mass spectra and resulted in 82% correct species identification based on the two highest log score matches (with log scores ≥2). In addition, a dendrogram was constructed using all newly created main spectrum profiles. Nine main clusters were formed, with some phylogenetically closely related species clustering closely together and well-defined subclusters being observed in specific species. Current results suggest that MALDI-TOF MS allows rapid differentiation between gastric species, provided that an extensive database is at hand and variation due to growth conditions and agar-medium-related peaks are taken into account.
胃螺杆菌(幽门螺杆菌及非幽门螺杆菌)定殖于人类和/或动物的胃部。物种鉴定至关重要,因为其中许多被认为是人类和/或动物病原体。目前,幽门螺杆菌物种只能通过分子方法进行区分。此前尚未描述过使用基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)区分非幽门螺杆菌,可能是因为这些物种在当前的MALDI-TOF MS数据库中代表性不足。因此,我们使用MALDI-TOF MS鉴定了93株来自10种不同幽门螺杆菌物种的胃部分离株,以建立一个更详尽的幽门螺杆菌参考数据库。虽然MALDI Biotyper数据库无法正确鉴定任何一株分离株,但内部数据库正确鉴定了所有个体质谱图,并基于两个最高对数得分匹配(对数得分≥2)得出82%的正确物种鉴定率。此外,使用所有新创建的主谱图构建了一个树状图。形成了九个主要簇,一些系统发育关系密切的幽门螺杆菌物种紧密聚集在一起,并且在特定物种中观察到了明确的亚簇。目前的结果表明,只要有一个广泛的数据库,并考虑到生长条件和琼脂培养基相关峰引起的变异,MALDI-TOF MS就能快速区分胃幽门螺杆菌物种。