Mosca Adriana, Russo Francesco, Miragliotta Luisa, Iodice Maria Antonietta, Miragliotta Giuseppe
Section of Microbiology, Department of Clinical Medicine, Immunology and Infectious Diseases, University of Bari, Bari, Italy.
J Microbiol Methods. 2007 Feb;68(2):392-5. doi: 10.1016/j.mimet.2006.09.017. Epub 2006 Nov 13.
Over the last years, the clinical importance of mycobacteria has been raised. In this regard, it is important their identification in order to establish either the clinical significance or the appropriate therapy of the disease. Biochemical tests are usually time consuming until the report of results, that is why more rapid techniques are needed. As an alternative identification method, we have used a commercially available system for microbial identification based on whole cellular fatty acids analysis using gas-chromatography (GC). Sixty-eight strains of Mycobacterium tuberculosis, Mycobacterium gordonae, Mycobacterium xenopi, Mycobacterium kansasii, Mycobacterium fortuitum, and Mycobacterium avium-intracellulare were clearly identified by their unique fatty acid profile using the Sherlock Microbial Identification System (MIS). The results were in agreement with those obtained with traditional methods. This method is highly automated, rapid, easy to perform with a sample preparation for lipid analysis which is neither time consuming nor requiring a particular expertise. On this basis the MIS-GC method for the identification of some clinically important mycobacteria appears to be suitable for routine clinical use.
在过去几年中,分枝杆菌的临床重要性日益凸显。在这方面,对其进行鉴定对于确定疾病的临床意义或合适的治疗方法至关重要。生化检测通常耗时较长,直到结果报告出来,这就是为什么需要更快速的技术。作为一种替代鉴定方法,我们使用了一种基于气相色谱法(GC)分析全细胞脂肪酸的市售微生物鉴定系统。使用Sherlock微生物鉴定系统(MIS),通过其独特的脂肪酸谱,明确鉴定出了68株结核分枝杆菌、戈登分枝杆菌、偶发分枝杆菌、堪萨斯分枝杆菌、蟾分枝杆菌和鸟分枝杆菌复合群。结果与传统方法获得的结果一致。该方法高度自动化、快速,脂质分析的样品制备操作简便,既不耗时也不需要特定的专业知识。在此基础上,用于鉴定一些临床重要分枝杆菌的MIS-GC方法似乎适用于常规临床应用。