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首页> 外文期刊>Journal of Clinical Microbiology >Application of the Sherlock Mycobacteria Identification System Using High-Performance Liquid Chromatography in a Clinical Laboratory
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Application of the Sherlock Mycobacteria Identification System Using High-Performance Liquid Chromatography in a Clinical Laboratory

机译:高效液相色谱法在Sherlock分枝杆菌鉴定系统中的应用

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There is a growing need for a more accurate, rapid, and cost-effective alternative to conventional tests for identification of clinical isolates of Mycobacterium species. Therefore, the ability of the Sherlock Mycobacteria Identification System (SMIS; MIDI, Inc.) using computerized software and a Hewlett-Packard series 1100 high-performance liquid chromatograph to identify mycobacteria was compared to identification using phenotypic characteristics, biochemical tests, probes (Gen-Probe, Inc.), gas-liquid chromatography, and, when necessary, PCR-restriction enzyme analysis of the 65-kDa heat shock protein gene and 16S rRNA gene sequencing. Culture, harvesting, saponification, extraction, derivatization, and chromatography were performed following MIDI's instructions. Of 370 isolates and stock cultures tested, 327 (88%) were given species names by the SMIS. SMIS software correctly identified 279 of the isolates (75% of the total number of isolates and 85% of the named isolates). The overall predictive value of accuracy (correct calls divided by total calls of a species) for SMIS species identification was 85%, ranging from only 27% (3 of 11) for M. asiaticum to 100% for species or groups including M. malmoense (8 of 8), M. nonchromogenicum (11 of 11), and the M. chelonae-abscessus complex (21 of 21). By determining relative peak height ratios (RPHRs) and relative retention times (RRTs) of selected mycolic acid peaks, as well as phenotypic properties, all 48 SMIS-misidentified isolates and 39 (91%) of the 43 unidentified isolates could be correctly identified. Material and labor costs per isolate were $10.94 for SMIS, $26.58 for probes, and $42.31 for biochemical identification. The SMIS, combined with knowledge of RPHRs, RRTs, and phenotypic characteristics, offers a rapid, reasonably accurate, cost-effective alternative to more traditional methods of mycobacterial species identification.
机译:对于鉴定分枝杆菌属的临床分离株的常规检测方法,越来越需要一种更准确,快速且具有成本效益的替代方法。因此,将使用计算机软件和Hewlett-Packard系列1100高效液相色谱仪的Sherlock分枝杆菌鉴定系统(SMIS; MIDI,Inc.)的能力与使用表型特征,生化测试,探针(Gen -Probe,Inc.),气相色谱法和65-kDa热激蛋白基因的PCR限制酶分析以及16S rRNA基因测序。按照MIDI的说明进行培养,收获,皂化,提取,衍生化和层析。在测试的370种分离物和种群培养物中,SMIS为327种(88%)赋予了物种名称。 SMIS软件正确地识别了279个分离株(占分离株总数的75%和命名分离株的85%)。 SMIS物种识别的准确度的总体预测值(正确的调用数除以一个物种的总调用数)为85%, M的准确度仅为27%(11个中的3个)。 ( M)的物种或种群中积雪草的数量达到100%。 malmoense (8之8), M。 nonchromogenicum (11个中的11个)和 M。 chelonae-abscessus 复合体(21之21)。通过确定所选霉菌酸峰的相对峰高比(RPHRs)和相对保留时间(RRTs)以及表型特性,可以正确识别所有48个SMIS误识别的分离株和43个未识别的分离株中的39个(91%)。每个菌株的材料和人工成本分别为:SMIS为10.94美元,探针为26.58美元,生化鉴定为42.31美元。 SMIS与RPHR,RRT和表型特征的知识相结合,提供了一种快速,合理准确,具有成本效益的替代方法,可以替代传统的分枝杆菌物种鉴定方法。

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