Carriço J A, Silva-Costa C, Melo-Cristino J, Pinto F R, de Lencastre H, Almeida J S, Ramirez M
Grupo de Biomatemática, Istituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa, Rua da Quinta Grande 6 2780-156 Oeiras, Portugal.
J Clin Microbiol. 2006 Jul;44(7):2524-32. doi: 10.1128/JCM.02536-05.
The studies that correlate the results obtained by different typing methodologies rely solely on qualitative comparisons of the groups defined by each methodology. We propose a framework of measures for the quantitative assessment of correspondences between different typing methods as a first step to the global mapping of type equivalences. A collection of 325 macrolide-resistant Streptococcus pyogenes isolates associated with pharyngitis cases in Portugal was used to benchmark the proposed measures. All isolates were characterized by macrolide resistance phenotyping, T serotyping, emm sequence typing, and pulsed-field gel electrophoresis (PFGE), using SmaI or Cfr9I and SfiI. A subset of 41 isolates, representing each PFGE cluster, was also characterized by multilocus sequence typing (MLST). The application of Adjusted Rand and Wallace indices allowed the evaluation of the strength and the directionality of the correspondences between the various typing methods and showed that if PFGE or MLST data are available one can confidently predict the emm type (Wallace coefficients of 0.952 for both methods). In contrast, emm typing was a poor predictor of PFGE cluster or MLST sequence type (Wallace coefficients of 0.803 and 0.655, respectively). This was confirmed by the analysis of the larger data set available from http://spyogenes.mlst.net and underscores the necessity of performing PFGE or MLST to unambiguously define clones in S. pyogenes.
将不同分型方法所获结果进行关联的研究仅依赖于对各方法所定义组别的定性比较。我们提出了一个用于定量评估不同分型方法之间对应关系的测量框架,作为迈向类型等效性全局映射的第一步。收集了325株与葡萄牙咽炎病例相关的大环内酯类耐药化脓性链球菌分离株,用于对所提出的测量方法进行基准测试。所有分离株均通过大环内酯类耐药表型分析、T血清学分型、emm序列分型以及使用SmaI或Cfr9I和SfiI的脉冲场凝胶电泳(PFGE)进行特征分析。还对代表每个PFGE簇的41株分离株子集进行了多位点序列分型(MLST)。应用调整后的兰德指数和华莱士指数可以评估各种分型方法之间对应关系的强度和方向性,结果表明,如果有PFGE或MLST数据,就可以可靠地预测emm型(两种方法的华莱士系数均为0.952)。相比之下,emm分型对PFGE簇或MLST序列型的预测能力较差(华莱士系数分别为0.803和0.655)。通过对可从http://spyogenes.mlst.net获得的更大数据集的分析证实了这一点,并强调了进行PFGE或MLST以明确界定化脓性链球菌克隆的必要性。