Evaluation of a Novel MALDI Biotyper Algorithm to Distinguish Mycobacterium intracellulare From Mycobacterium chimaera
Evaluation of a Novel MALDI Biotyper Algorithm to Distinguish Mycobacterium intracellulare From Mycobacterium chimaera
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DOI：
10.3389/fmicb.2018.03140
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发表时间：
2018-12-18
影响因子：
5.2
通讯作者：
Salfinger, Max
中科院分区：
文献类型：
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作者：
Epperson, L. Elaine;Timke, Markus;Salfinger, Max
准确、及时的分枝杆菌菌种鉴定对于非结核分枝杆菌(NTM)所致疾病的成功诊断、治疗和治疗至关重要。目前应用最广泛的NTM种类鉴定方法是对一个或多个基因组座位进行Sanger测序，然后进行BLAST序列分析。MALDI-TOF MS提供了一种成本更低、精度越来越高的测序方法，但用于临床分枝杆菌细菌学的商业分析无法区分细胞内分枝杆菌和嵌合体分枝杆菌，这两个密切相关的潜在致病物种属于禽分枝杆菌复合体(MAC)。由于MAC物种的这种区分在诊断环境中具有挑战性，Bruker开发了一种改进的光谱解释算法，以区分嵌合体和胞内分枝杆菌，该算法基于不同的光谱峰值特征。在这里，我们利用一组185株MAC分离株，这些分离株已经使用rpoB基因座测序，然后在某些情况下进行全基因组测序，以测试Bruker Subtyper软件识别嵌合体(n=49)和胞内分枝杆菌(n=55)的准确性。用MALDI Biotyper算法准确地鉴定了100%的胞内分枝杆菌和82%的嵌合分枝杆菌分离株。这个亚型模块可与MALDI Biotyper Compass软件一起使用，为嵌合体和胞内分枝杆菌的快速和廉价的物种鉴定提供了一个有前景的机制。
Accurate and timely mycobacterial species identification is imperative for successful diagnosis, treatment, and management of disease caused by nontuberculous mycobacteria (NTM). The current most widely utilized method for NTM species identification is Sanger sequencing of one or more genomic loci, followed by BLAST sequence analysis. MALDI-TOF MS offers a less expensive and increasingly accurate alternative to sequencing, but the commercially available assays used in clinical mycobacteriology cannot differentiate between Mycobacterium intracellulare and Mycobacterium chimaera, two closely related potentially pathogenic species of NTM that are members of the Mycobacterium avium complex (MAC). Because this differentiation of MAC species is challenging in a diagnostic setting, Bruker has developed an improved spectral interpretation algorithm to differentiate M. chimaera and M. intracellulare based on differential spectral peak signatures. Here, we utilize a set of 185 MAC isolates that have been characterized using rpoB locus sequencing followed by whole genome sequencing in some cases, to test the accuracy of the Bruker subtyper software to identify M. chimaera (n = 49) and M. intracellulare (n = 55). 100% of the M. intracellulare and 82% of the M. chimaera isolates were accurately identified using the MALDI Biotyper algorithm. This subtyper module is available with the MALDI Biotyper Compass software and offers a promising mechanism for rapid and inexpensive species determination for M. chimaera and M. intracellulare.