Mal Mainak
Freelance science writer, 40 T.C. Road, Flat #2A, Kolkata 700053, India.
Future Sci OA. 2016 Jun 10;2(2):FSO106. doi: 10.4155/fsoa-2015-0014. eCollection 2016 Jun.
Metabolic profiling provides a powerful diagnostic tool complementary to genomics and proteomics. The pain, discomfort and probable iatrogenic injury associated with invasive or minimally invasive diagnostic methods, render them unsuitable in terms of patient compliance and participation. Metabolic profiling of biomatrices like urine, breath, saliva, sweat and feces, which can be collected in a painless manner, could be used for noninvasive diagnosis. This review article covers the noninvasive metabolic profiling studies that have exhibited diagnostic potential for diseases and disorders. Their potential applications are evident in different forms of cancer, metabolic disorders, infectious diseases, neurodegenerative disorders, rheumatic diseases and pulmonary diseases. Large scale clinical validation of such diagnostic methods is necessary in future.
代谢谱分析提供了一种强大的诊断工具，可作为基因组学和蛋白质组学的补充。与侵入性或微创诊断方法相关的疼痛、不适以及可能的医源性损伤，在患者依从性和参与度方面使其并不适用。对尿液、呼吸、唾液、汗液和粪便等生物基质进行代谢谱分析，这些样本可以通过无痛方式收集，可用于无创诊断。这篇综述文章涵盖了已显示出对疾病和病症具有诊断潜力的无创代谢谱分析研究。它们的潜在应用在不同形式的癌症、代谢紊乱、传染病、神经退行性疾病、风湿性疾病和肺部疾病中都很明显。未来有必要对这类诊断方法进行大规模临床验证。
