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使用灵敏的手性氯标记探针通过HPLC-MS/MS对胃癌尿中含手性氨基酸生物标志物进行代谢谱分析

Metabolic Profiling of Urinary Chiral Amino-Containing Biomarkers for Gastric Cancer Using a Sensitive Chiral Chlorine-Labeled Probe by HPLC-MS/MS.

作者信息

Huang Rongrong, Shen Kexin, He Quan, Hu Yiqiu, Sun Cuirong, Guo Cheng, Pan Yuanjiang

机构信息

College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, Zhejiang, China.

Department of Chemistry, Zhejiang University, Hangzhou 310027, Zhejiang, China.

出版信息

J Proteome Res. 2021 Aug 6;20(8):3952-3962. doi: 10.1021/acs.jproteome.1c00267. Epub 2021 Jul 6.

Abstract

Screening of characteristic biomarkers from chiral amino-containing metabolites in biological samples is difficult and important for the noninvasive diagnosis of gastric cancer (GC). Here, an enantiomeric pair of chlorine-labeled probes d-BPCl and l-BPCl was synthesized to selectively label d- and l-amino-containing metabolites in biological samples, respectively. Incorrect structural annotations were excluded according to the characteristic 3:1 abundance ratio of natural chlorine isotopes (Cl and Cl) derived from the probes. A sensitive C18 HPLC-QQQ-MS/MS method in combination with the probes was then developed and applied in metabolomic analysis of amino-containing metabolites in urine samples. A total of 161 amino-containing metabolites were rapidly separated and determined, and 28 chiral amino acids and achiral glycine were quantified with good precision and accuracy. A total of 18 differential variables were discriminated by analyzing chiral amino-containing metabolites in urine samples of the GC patient and healthy person using the probe-based HPLC-MS/MS-MRM method combined with the orthogonal partial least squares discriminant analysis and Mann-Whitney test with false discovery rate correction for multiple hypotheses. A diagnostic regression model including d-isoleucine, d-serine, and β-(pyrazol-1-yl)-l-alanine and age was then constructed with an average prediction correctness of 88.9% in the validation set. This work established a close connection between gastric cancer and chiral amino-containing metabolites. The mass spectrometry data analyzed in the study are publicly available via Mendeley Data (DOI: 10.17632/4bd93j9yrr.1).

摘要

从生物样品中的手性含氨基代谢物中筛选特征生物标志物对于胃癌(GC)的无创诊断既困难又重要。在此,合成了一对对映体的氯标记探针d-BPCl和l-BPCl,分别用于选择性标记生物样品中的d-和l-含氨基代谢物。根据探针中天然氯同位素(Cl和Cl)的特征3:1丰度比排除错误的结构注释。然后开发了一种结合探针的灵敏的C18 HPLC-QQQ-MS/MS方法,并将其应用于尿液样品中含氨基代谢物的代谢组学分析。总共161种含氨基代谢物被快速分离和测定,28种手性氨基酸和非手性甘氨酸被精确且准确地定量。使用基于探针的HPLC-MS/MS-MRM方法结合正交偏最小二乘判别分析和经多重假设错误发现率校正的曼-惠特尼检验,通过分析GC患者和健康人的尿液样品中的手性含氨基代谢物,共鉴别出18个差异变量。然后构建了一个包含d-异亮氨酸、d-丝氨酸、β-(吡唑-1-基)-l-丙氨酸和年龄的诊断回归模型,在验证集中的平均预测正确率为88.9%。这项工作建立了胃癌与手性含氨基代谢物之间的紧密联系。该研究中分析的质谱数据可通过Mendeley Data(DOI:10.17632/4bd93j9yrr.1)公开获取。

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