Departments of Clinical Microbiology at Odense University Hospital, J. B. Winsløwsvej 21, Odense, Denmark.
Mycoses. 2013 May;56(3):229-35. doi: 10.1111/myc.12000. Epub 2012 Aug 26.
Accurate and fast yeast identification is important when treating patients with invasive fungal disease as susceptibility to antifungal agents is highly species related. Matrix-assisted laser desorption-time of flight mass spectrometry (MALDI-TOF-MS) provides a powerful tool with a clear potential to improve current diagnostic practice. Two MALDI-TOF-MS-systems (BioTyper/Bruker and Saramis/AXIMA) were evaluated using: (i) A collection of 102 archived, well characterised yeast isolates representing 14 different species and (ii) Prospectively collected isolates obtained from clinical samples at two participating laboratories. Of the 102 archived isolates, 81 (79%) and 92 (90%) were correctly identified by Saramis/AXIMA and BioTyper/Bruker respectively. Saramis/AXIMA was unable to separate Candida albicans, C. africana and C. dubliniensis in 13 of 32 isolates. After manual interpretation of the mass spectra output, all 13 isolates were correctly identified, resulting in an overall identification performance of 92%. No misidentifications occurred with the two systems. Of the routine isolates one laboratory identified 99/99 (100%) and 90/99 (91%) to species level by Saramis/Axima and conventional identification, respectively, whereas the other laboratory identified 83/98 (85%) to species level by both BioTyper/Bruker and conventional identification. Both MALDI-TOF-MS systems are fast, have built-in databases that cover the majority of clinically relevant Candida species, and have an accuracy that outperforms our conventional identification systems.
准确、快速的酵母鉴定在治疗侵袭性真菌感染患者时非常重要,因为抗真菌药物的敏感性与物种高度相关。基质辅助激光解吸飞行时间质谱(MALDI-TOF-MS)提供了一种强大的工具,具有明显提高当前诊断实践的潜力。使用以下两种 MALDI-TOF-MS 系统(BioTyper/Bruker 和 Saramis/AXIMA)进行了评估:(i)收集了 102 个经过充分特征描述的存档酵母分离株,代表 14 个不同的种;(ii)从两个参与实验室的临床样本中前瞻性收集的分离株。在 102 个存档分离株中,Saramis/AXIMA 和 BioTyper/Bruker 分别正确鉴定了 81(79%)和 92(90%)个分离株。Saramis/AXIMA 无法将 32 个分离株中的 13 个 Candida albicans、C. africana 和 C. dubliniensis 分开。在手动解释质谱输出后,所有 13 个分离株均被正确鉴定,总体鉴定性能为 92%。两个系统均未发生误鉴定。在常规分离株中,一个实验室通过 Saramis/Axima 和常规鉴定分别正确鉴定了 99/99(100%)和 90/99(91%)的种水平,而另一个实验室通过 BioTyper/Bruker 和常规鉴定分别正确鉴定了 83/98(85%)的种水平。两种 MALDI-TOF-MS 系统均快速,具有内置数据库,涵盖了大多数临床相关的 Candida 种,并且准确性优于我们的常规鉴定系统。