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首页> 外文期刊>RSC Advances >High-throughput system metabolomics method reveals new mechanistic insights of chlorogenic acid by using liquid chromatography coupled to high resolution mass spectrometry
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High-throughput system metabolomics method reveals new mechanistic insights of chlorogenic acid by using liquid chromatography coupled to high resolution mass spectrometry

机译：高通量系统代谢组学方法通过液相色谱与高分辨率质谱联用揭示绿原酸的新机理

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摘要

It has increasingly been recognized that metabolism is highly interconnected with disease, and system metabolomics studies have aimed to discover metabolic biomarkers and analyze the pathways of metabolome phenotypes. To better understand the metabolic alteration related with disease, a urine metabolic profile using a high-throughput system metabolomics technology approach was applied to probe the underlying molecular mechanisms of alcohol-induced liver injury and the therapeutic effects of chlorogenic acid (CA). In this study, endogenous low-molecular-weight metabolites were characterized using liquid chromatography coupled with mass spectrometry (LC-MS). The acquired data was parsed by principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) to identify potential biomarkers. A total of 19 biomarkers were identified in a model of alcohol-induced liver injury rats, and it was found that chlorogenic acid had a regulatory effect on 14 of them, associated with multiple metabolic pathways. Comprehensive pathway analysis suggests that CA has the ability to regulate abnormal metabolic states. In addition, accessory examinations such as biochemical analysis and histopathological observations were also performed that showed similar results. As a natural product agent against ethanol-induced liver injury, CA was validated in the rebalancing of a wide range of metabolic disorders. High-throughput system metabolomics represents a powerful approach for revealing new mechanistic insights of natural products.
机译：人们越来越认识到新陈代谢与疾病高度相关，系统代谢组学研究旨在发现代谢生物标志物并分析代谢组表型的途径。为了更好地了解与疾病相关的代谢改变，采用了高通量系统代谢组学技术方法的尿液代谢特征被用于探查酒精引起的肝损伤的潜在分子机制以及绿原酸（CA）的治疗作用。在这项研究中，使用液相色谱-质谱联用（LC-MS）对内源性低分子量代谢物进行了表征。通过主成分分析（PCA）和正交偏最小二乘判别分析（OPLS-DA）解析获取的数据，以识别潜在的生物标记。在酒精诱导的肝损伤大鼠模型中共鉴定出19种生物标记，发现绿原酸对其中14种具有调节作用，与多种代谢途径相关。全面的通路分析表明，CA具有调节异常代谢状态的能力。此外，还进行了辅助检查，如生化分析和组织病理学观察，结果相似。作为抗乙醇诱导的肝损伤的天然产物，CA已在各种代谢紊乱的再平衡中得到验证。高通量系统代谢组学是揭示天然产物新的机械机理的有力方法。

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