Huang Lianfen, Gao Kankan, Zhong Huamin, Xie Yongqiang, Liang Bingshao, Ji Wenjing, Liu Haiying
Department of Laboratory Medicine, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi'an Jiaotong University, Xi'an, China.
Front Mol Biosci. 2024 Jun 27;11:1355448. doi: 10.3389/fmolb.2024.1355448. eCollection 2024.
To evaluate the performance of Matrix-Assisted Laser Desorption/Ionization Time-of Flight Mass Spectra (MALDI-TOF MS) for automated classification of GBS (Group B ) into five major CCs (clonal complexes) during routine GBS identification.
MALDI-TOF MS of 167 GBS strains belonging to five major CCs (CC10, CC12, CC17, CC19, CC23) were grouped into a reference set ( = 67) and a validation set ( = 100) for the creation and evaluation with GBS CCs subtyping main spectrum (MSP) and MSP-M using MALDI BioTyper and ClinProTools. GBS CCs subtyping MSPs-M was generated by resetting the discriminative peaks of GBS CCs subtyping MSP according to the informative peaks from the optimal classification model of five major CCs and the contribution of each peak to the model created by ClinProTools.
The PPV for the GBS CCs subtyping MSP-M was greater than the subtyping MSP for CC10 (99.21% vs. 93.65%), but similar for CC12 (79.55% vs. 81.06%), CC17 (93.55% vs. 94.09%), and CC19 (92.59% vs. 95.37%), and lower for CC23 (66.67% vs. 83.33%).
MALDI-TOF MS could be a promising tool for the automated categorization of GBS into 5 CCs by both CCs subtyping MSP and MSP-M, GBS CCs subtyping MSP-M is preferred for the accurate prediction of CCs with highly discriminative peaks.
评估基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF MS)在常规GBS(B组链球菌)鉴定过程中对GBS自动分类为五个主要克隆复合体(CCs)的性能。
将属于五个主要CCs(CC10、CC12、CC17、CC19、CC23)的167株GBS菌株的MALDI-TOF MS分为一个参考集(n = 67)和一个验证集(n = 100),以便使用MALDI BioTyper和ClinProTools创建并评估GBS CCs亚型主谱(MSP)和MSP-M。GBS CCs亚型MSP-M是根据五个主要CCs的最佳分类模型中的信息峰以及ClinProTools创建的模型中每个峰的贡献,重新设置GBS CCs亚型MSP的判别峰而生成的。
GBS CCs亚型MSP-M的阳性预测值高于CC10的亚型MSP(99.21%对93.65%),但与CC12(79.55%对81.06%)、CC17(93.55%对94.09%)和CC19(92.59%对95.37%)相似,而CC23的则较低(66.67%对83.33%)。
MALDI-TOF MS可能是一种有前景的工具,可通过CCs亚型MSP和MSP-M将GBS自动分类为5个CCs,GBS CCs亚型MSP-M更适合用于准确预测具有高判别峰的CCs。