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基于液相色谱-串联质谱的靶向代谢组学定量测定大鼠血清、尿液和粪便中 9 种肠道微生物群-宿主共代谢物。

Targeted metabolomics for the quantitative measurement of 9 gut microbiota-host co-metabolites in rat serum, urine and feces by liquid chromatography-tandem mass spectrometry.

机构信息

School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China; Department of Pharmacy, Zengcheng District People's Hospital of Guangzhou, Guangzhou, China.

School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China.

出版信息

J Chromatogr B Analyt Technol Biomed Life Sci. 2019 Mar 15;1110-1111:133-143. doi: 10.1016/j.jchromb.2019.02.019. Epub 2019 Feb 19.

Abstract

Gut microbiota-host co-metabolites play an essential role in maintaining homeostasis, and their concentration changes are closely related to a variety of diseases. Developing a targeted metabolomics analytical platform for these co-metabolites will help to elucidate the relationship between intestinal flora and host. Here we present a simple and sensitive liquid chromatography-tandem mass spectrometry method for the analysis of nine gut microbiota-host co-metabolites in rat serum, urine and feces. The compounds were separated on a reversed-phase C column using gradient elution with a solvent system consisting of methanol and water (containing 0.05% formic acid) and a 7-min run time. All of the calibration curves exhibited good linear relationships (R ≥ 0.9984, Percent Residual Accuracy ≥93.27%). The intra- and interday precision, expressed as relative standard deviation (RSD), was ≤ 14.84%. The accuracy was within 100 ± 13.16% for all analytes. The recovery of the nine compounds in biological samples was ≥ 85.80% with an appropriate RSD (≤12.04%). The validated method was successfully applied to monitor the global changes of these metabolites in obesity. Taken together, these results demonstrate that the method can simultaneously determine the nine co-metabolites in multiple biological matrices and is an essential part of the targeted metabolomics analytical platform, which may become an approach to evaluate the occurrence, development and therapeutic effects of metabolic diseases.

摘要

肠道微生物群-宿主共代谢物在维持体内平衡中起着至关重要的作用,其浓度变化与多种疾病密切相关。开发针对这些共代谢物的靶向代谢组学分析平台将有助于阐明肠道菌群与宿主之间的关系。在这里,我们提出了一种简单灵敏的液相色谱-串联质谱法,用于分析大鼠血清、尿液和粪便中的 9 种肠道微生物群-宿主共代谢物。采用甲醇和水(含 0.05%甲酸)的溶剂系统进行梯度洗脱,在反相 C 柱上分离这些化合物,运行时间为 7 分钟。所有校准曲线均表现出良好的线性关系(R≥0.9984,百分比残留准确度≥93.27%)。日内和日间精密度表示为相对标准偏差(RSD),均≤14.84%。所有分析物的准确度均在 100±13.16%范围内。9 种化合物在生物样品中的回收率≥85.80%,RSD 适当(≤12.04%)。该验证方法成功应用于监测肥胖症中这些代谢物的整体变化。总之,该方法可以同时定量分析多种生物基质中的 9 种共代谢物,是靶向代谢组学分析平台的重要组成部分,可能成为评估代谢性疾病发生、发展和治疗效果的一种方法。

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