Liu Desheng, Zhao Nana, Wang Mingao, Pi Xin, Feng Yue, Wang Yue, Tong Hongshuang, Zhu Lin, Wang Changsong, Li Enyou
Department of Anesthesiology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Department of Nephrology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Biochem Biophys Res Commun. 2018 Jan 29;496(1):58-63. doi: 10.1016/j.bbrc.2017.12.164. Epub 2017 Dec 30.
Urinary volatile organic compounds (VOCs) profiling has recently received considerable attention because it can be obtained noninvasively and conveniently while it can be successfully used in a variety of diseases and can provide unique biomarkers. The aim of current study was to investigate potential biomarkers between minimal change type nephrotic syndrome (MCNS) and normal. Urinary samples were collected from 38 minimal change type nephrotic syndrome patients and 15 healthy controls. Solid phase microextraction (SPME) and chromatography- mass spectrometry (GC-MS) were used to analysis the urinary metabolites. To deal with the final data, the statistical methods principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLSDA) were performed. Six specific VOC biomarkers were present at abnormal levels in the urine of MCNS patients. These VOCs included trans-2,2-dimethyl-4-decene; pyrrole; carbamic acid, monoammonium salt; 1-butyne, 3,3-dimethyl-; diisopropylamine; and 4-heptanone. These biomarkers may be useful as a new diagnostic method and for monitoring the prognosis for MCNS patients.
尿液挥发性有机化合物（VOCs）分析最近受到了广泛关注，因为它可以通过非侵入性且便捷的方式获得，同时能够成功应用于多种疾病，并能提供独特的生物标志物。本研究的目的是探究微小病变型肾病综合征（MCNS）与正常人群之间的潜在生物标志物。收集了38例微小病变型肾病综合征患者和15名健康对照者的尿液样本。采用固相微萃取（SPME）和色谱 - 质谱联用（GC - MS）技术分析尿液代谢产物。为处理最终数据，运用了主成分分析（PCA）和正交偏最小二乘法判别分析（OPLSDA）等统计方法。在MCNS患者尿液中，有6种特定的VOC生物标志物水平异常。这些VOCs包括反式 - 2,2 - 二甲基 - 4 - 癸烯；吡咯；氨基甲酸单铵盐；3,3 - 二甲基 - 1 - 丁炔；二异丙胺；以及4 - 庚酮。这些生物标志物可能作为一种新的诊断方法，用于监测MCNS患者的预后。
