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Urine molecular profiling distinguishes health and disease: new methods in diagnostics? Focus on UPLC-MS.

机译:尿液分子谱分析可区分健康和疾病:诊断新方法?专注于UPLC-MS。

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摘要

Urine may be a waste product, but it contains an enormous amount of information. Its role in diagnostics cannot be underestimated. The combination of high-end analytical technology with multivariate statistics allows differential analysis of replicate samples with applications for both high- and low-molecular-weight analytes, namely proteins and metabolites. Global urine profiles measured with NMR or mass spectrometry (MS)-based methods distinguish, for example, individuals, health status and hormonal changes. They do not necessarily discriminate between substance classes but investigate method-determined subgroups, such as all compounds separated by reversed-phase liquid chromatography. For diagnostics, the identification of those compounds is of secondary interest because the overall features of the profile itself are used for sample comparison. The potential of this simple approach for clinical diagnostics is huge, since only minimal urine preparation (e.g., centrifugation and filtration for liquid chromatography-MS) is necessary and the experimental execution using, for instance, technologies such as ultra-performance liquid chromatography coupled with high-end MS can be standardized. However, concerted collaborative efforts are required to generate comparable datasets and to create the profile database necessary for diagnostic applications.
机译:尿液可能是废物,但其中包含大量信息。它在诊断中的作用不可低估。高端分析技术与多元统计技术的结合,可对重复样品进行差异分析,同时适用于高分子量和低分子量分析物,即蛋白质和代谢物。使用NMR或基于质谱(MS)的方法测得的总体尿液状况可区分出例如个体,健康状况和荷尔蒙变化。他们不一定区分物质类别,而是研究方法确定的亚组,例如所有通过反相液相色谱分离的化合物。对于诊断而言,这些化合物的鉴定是次要的,因为配置文件本身的整体特征用于样品比较。这种简单方法在临床诊断中的潜力是巨大的,因为仅需极少的尿液准备(例如,液相色谱-MS的离心和过滤),并且使用例如超高效液相色谱技术和高端MS可以标准化。但是,需要协调一致的协作才能生成可比较的数据集并创建诊断应用程序所需的配置文件数据库。

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