School for Physical and Chemical Sciences, Centre for Human Metabonomics, North-West University (Potchefstroom Campus), Potchefstroom, 2520, South Africa.
J Microbiol Methods. 2012 Nov;91(2):301-11. doi: 10.1016/j.mimet.2012.09.002. Epub 2012 Sep 8.
In many pulmonary diseases, sputum is a valuable sample material for use in disease characterisation and diagnostics. However, due to its high viscosity and uneven consistency (lumpiness), it is difficult to obtain reproducible/repeatable results during compound extraction and analysis. We subsequently investigated and compared four sputum pre-extraction preparation methods using: 1) Sputolysin; 2) a combination of N-acetyl-l-cysteine and sodium hydroxide (NALC-NaOH); 3) NaOH alone, and 4) a simple ethanol homogenisation method, prior to sputum extraction and metabolomics analyses. The simple ethanol homogenisation approach proved to be the comparatively superior sputum pre-extraction preparation method, considering its repeatability, the number of characteristic compounds extracted, its ability to extract those compounds best differentiating the sample groups (Mycobacterium tuberculosis-spiked and clinically confirmed TB-positive patient samples from each of the controls respectively), and its detection limit. This developed methodology subsequently allows for accurate GC based analyses of sputum, and hence, could contribute significantly to the better characterisation or diagnostics of not only tuberculosis, but also potentially other pulmonary diseases, including, interstitial lung disease, cystic fibrosis, lung cancer, pneumonia and any other bacterial induced pulmonary diseases producing sputum.
在许多肺部疾病中,痰液是用于疾病特征描述和诊断的有价值的样本材料。然而,由于其高粘度和不均匀的一致性(块状),在化合物提取和分析过程中很难获得可重复的结果。随后,我们研究并比较了四种痰液预处理方法,分别使用:1)Sputolysin;2)N-乙酰-L-半胱氨酸和氢氧化钠(NALC-NaOH)的组合;3)单独的氢氧化钠,以及 4)在痰液提取和代谢组学分析之前使用简单的乙醇匀浆法。考虑到其重复性、提取的特征化合物数量、提取最佳区分样本组的化合物的能力(分别来自结核分枝杆菌接种和临床确诊的结核病阳性患者样本的对照组)及其检测限,简单的乙醇匀浆方法被证明是比较优越的痰液预处理方法。该方法随后允许对痰液进行准确的 GC 分析,因此,不仅可以对结核病,而且还可以对其他肺部疾病(包括间质性肺疾病、囊性纤维化、肺癌、肺炎和任何其他引起肺部疾病的细菌)的更好特征描述或诊断做出重大贡献。