Department of Medical Microbiology, Section Experimental Bacteriology, Leiden University Medical Centergrid.10419.3d, Leiden, The Netherlands.
National Reference Laboratory for Clostridioides difficile, National Institute of Public Health and the Environment, Leiden University Medical Centergrid.10419.3d, Leiden, The Netherlands.
J Clin Microbiol. 2022 Feb 16;60(2):e0173721. doi: 10.1128/JCM.01737-21. Epub 2021 Dec 15.
Clostridioides difficile is the most common cause of antibiotic-associated gastrointestinal infections. Capillary electrophoresis (CE)-PCR ribotyping is currently the gold standard for C. difficile typing but lacks the discriminatory power to study transmission and outbreaks in detail. New molecular methods have the capacity to differentiate better and provide standardized and interlaboratory exchangeable data. Using a well-characterized collection of diverse strains (N = 630; 100 unique ribotypes [RTs]), we compared the discriminatory power of core genome multilocus sequence typing (cgMLST) (SeqSphere and EnteroBase), whole-genome MLST (wgMLST) (EnteroBase), and single-nucleotide polymorphism (SNP) analysis. A unique cgMLST profile (more than six allele differences) was observed in 82 of 100 RTs, indicating that cgMLST could distinguish most, but not all, RTs. Application of cgMLST in two outbreak settings with RT078 and RT181 (known to have low intra-RT allele differences) showed no distinction between outbreak and nonoutbreak strains in contrast to wgMLST and SNP analysis. We conclude that cgMLST has the potential to be an alternative to CE-PCR ribotyping. The method is reproducible, easy to standardize, and offers higher discrimination. However, adjusted cutoff thresholds and epidemiological data are necessary to recognize outbreaks of some specific RTs. We propose to use an allelic threshold of three alleles to identify outbreaks.
艰难梭菌是最常见的抗生素相关性胃肠道感染的病原体。毛细管电泳(CE)-PCR 核糖体分型目前是艰难梭菌分型的金标准,但缺乏详细研究传播和暴发的区分能力。新的分子方法具有更好的区分能力,并提供标准化和实验室间可交换的数据。我们使用一组特征明确的多样化菌株(N=630;100 个独特的核糖体型[RT])进行比较,比较了核心基因组多位点序列分型(cgMLST)(SeqSphere 和 EnteroBase)、全基因组 MLST(wgMLST)(EnteroBase)和单核苷酸多态性(SNP)分析的区分能力。在 100 个 RT 中有 82 个观察到独特的 cgMLST 图谱(超过 6 个等位基因差异),表明 cgMLST 可以区分大多数 RT,但不是所有 RT。在 RT078 和 RT181 的两个暴发环境中应用 cgMLST(已知具有低 RT 内等位基因差异),与 wgMLST 和 SNP 分析相比,暴发和非暴发菌株之间没有区别。我们得出结论,cgMLST 有潜力替代 CE-PCR 核糖体分型。该方法可重复、易于标准化,并具有更高的区分能力。然而,需要调整临界值和流行病学数据来识别某些特定 RT 的暴发。我们建议使用三个等位基因的等位基因阈值来识别暴发。