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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.

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机构: [1]School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China [2]Department of Pharmacy, Zengcheng District People's Hospital of Guangzhou, Guangzhou, China [3]School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Guangzhou, China [4]Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Guangzhou, China
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关键词: Targeted metabolomics Gut microbiota Co-metabolites Liquid chromatography–tandem mass spectrometry Obesity

摘要:
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 C18 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 (R2 ≥ 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. Copyright © 2019 Elsevier B.V. All rights reserved.

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出版当年[2018]版:
大类 | 3 区 医学
小类 | 3 区 生化研究方法 3 区 分析化学
最新[2025]版:
大类 | 3 区 医学
小类 | 3 区 生化研究方法 3 区 分析化学
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第一作者机构: [1]School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China [2]Department of Pharmacy, Zengcheng District People's Hospital of Guangzhou, Guangzhou, China
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通讯机构: [1]School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China [3]School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, Guangzhou, China [4]Guangdong Provincial Key Laboratory of New Drug Design and Evaluation, Guangzhou, China [*1]School of Pharmaceutical Sciences, Guangzhou University of Chinese Medicine, 232 Wai Huan Road East, Higher Education Mega Center, Guangzhou 510006, China [*2]School of Pharmaceutical Sciences (Shenzhen), Sun Yat-sen University, 132 Wai huan Road East, Higher Education Mega Center, Guangzhou 510006, China
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