定量分析尿液中内源性雌激素代谢物的液相色谱-质谱法

IF 13.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Xia Xu, Larry K Keefer, Regina G Ziegler, Timothy D Veenstra
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引用次数: 76

摘要

定量测量雌激素代谢物(EMs)的能力对于研究它们在癌症筛查、治疗和预防以及一系列其他激素相关疾病中的作用非常重要。在本方案中,我们介绍了一种能够定量检测尿液中 15 种不同 EMs 的方法。采用液相色谱-串联质谱法对内源性 EMs 进行定量测定,质谱仪采用选择反应监测模式。该方法可定量检测雌酮及其 2-羟基、4-羟基和 16α-羟基及其 2-、4-甲氧基衍生物,以及 2-羟基雌酮-3-甲醚;17β-雌二醇及其 2-羟基、2-甲氧基和 4-甲氧基衍生物,以及雌三醇、16-表三醇、17-表三醇和 16-酮雌二醇。该方法仅需 0.5 毫升尿液,每周可定量分析约 60 份尿样。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A liquid chromatography–mass spectrometry method for the quantitative analysis of urinary endogenous estrogen metabolites

A liquid chromatography–mass spectrometry method for the quantitative analysis of urinary endogenous estrogen metabolites
The ability to measure estrogen metabolites (EMs) quantitatively is important for investigating their individual roles in cancer screening, treatment and prevention, as well as in a host of other hormone-related disorders. In this protocol we describe a method that is capable of quantitating 15 distinct EMs in urine. Endogenous EMs are quantitatively measured using a liquid chromatography–tandem mass spectrometry method in which the spectrometer operates in a selected reaction monitoring mode. This method is capable of quantifying estrone and its 2-, and 4- and 16α-hydroxy and its 2-, 4-methoxy derivatives, and 2-hydroxyestrone-3-methyl ether; 17β-estradiol and its 2-hydroxy, and 2- and 4-methoxy derivates, and estriol, 16-epiestriol, 17-epiestriol, and 16-ketoestradiol. The method requires only 0.5 ml of urine and approximately 60 urine samples can be quantitatively analyzed per week.
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来源期刊
Nature Protocols
Nature Protocols 生物-生化研究方法
CiteScore
29.10
自引率
0.70%
发文量
128
审稿时长
4 months
期刊介绍: Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured. The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.
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