Jensen Christian Salgård, Dargis Rimtas, Shewmaker Patricia, Nielsen Xiaohui Chen, Christensen Jens Jørgen
The Regional Department of Clinical Microbiology, Region Zealand, Denmark.
The Regional Department of Clinical Microbiology, Region Zealand, Denmark.
Diagn Microbiol Infect Dis. 2021 Nov;101(3):115487. doi: 10.1016/j.diagmicrobio.2021.115487. Epub 2021 Jul 10.
This study evaluated the ability of the MALDI-ToF MS from Bruker Daltonics to identify clinical Mitis-Group-Streptococcus isolates with a focus on Streptococcus pseudopneumoniae. The results were analyzed using the standard log(score) and the previously published list(score). Importantly, using the log(score) no misidentifications occurred and 27 of 29 (93%) S. pneumoniae and 27 of 30 (90%) S. oralis strains were identified, but only 1 of 31 (3%) S. pseudopneumoniae and 1 of 13 (8%) S. mitis strains were identified. However, our results show that 30 of 31 S. pseudopneumoniae strains had a S. pseudopneumoniae Main Spectral Profiles within the 3 best matches. Using the list(score) all S. oralis and S. pneumoniae strains were identified correctly, but list(score) misidentified 10 S. pseudopneumoniae and 5 S. mitis. We propose to use the log(score) for identification of S. pneumoniae, S. pseudopneumoniae, S. mitis and S. oralis, but for some strains additional testing may be needed.
本研究评估了布鲁克道尔顿公司的基质辅助激光解吸电离飞行时间质谱(MALDI-ToF MS)识别临床轻链群链球菌分离株的能力,重点关注伪肺炎链球菌。使用标准对数(分数)和先前公布的列表(分数)对结果进行分析。重要的是,使用对数(分数)时未发生错误识别,29株肺炎链球菌中有27株(93%)和30株口腔链球菌中有27株(90%)被识别出来,但31株伪肺炎链球菌中只有1株(3%)和13株缓症链球菌中只有1株(8%)被识别出来。然而,我们的结果表明,31株伪肺炎链球菌中有30株在最佳匹配的前3个中有伪肺炎链球菌主要光谱图谱。使用列表(分数)时,所有口腔链球菌和肺炎链球菌菌株均被正确识别,但列表(分数)将10株伪肺炎链球菌和5株缓症链球菌错误识别。我们建议使用对数(分数)来识别肺炎链球菌、伪肺炎链球菌、缓症链球菌和口腔链球菌,但对于某些菌株可能需要进行额外检测。