Integrated UHPLC-Q-Exactive-MS/MS metabolomics and network pharmacology to explore the potential mechanism of obesity prevention in Pleurotus eryngii treated with different cooking procedures

IF 5.2 Q1 FOOD SCIENCE & TECHNOLOGY
RuiXue Yu , Hejiang Zhou , Miao Xiong , JunQuan Chen , ShuangPing Wang , Wen Xu , Yang Tian , LingYan Su
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引用次数: 0

Abstract

Most of the Pleurotus eryngii (PE) are consumed after cooking. The aim of this study was to investigate the metabolites and flavour changes of PE under four cooking methods, namely, air frying, boiling, frying and steaming, by using metabolomics techniques, and to screen the components for network prediction of components that have the potential to prevent obesity, and to explore the underlying mechanisms. We used the UHPLC-Q-Exactive-MS/MS metabolomics method to identify and screen 35 metabolites as the major chemical components of PE, including lipids and lipid-like molecules, organic acids and derivatives, nucleosides, nucleotides, analogues, and other small molecules. In addition, a network pharmacology approach was used to identify targets such as STAT3, CASP3, and JUN were identified as playing important roles in the network. The results were validated by molecular docking. This study provides a basis for the optimization of cooking methods for PE and offers new insights for future research.
uhplc - q - exative -MS/MS代谢组学与网络药理学相结合,探讨不同炮制方法对杏鲍菇预防肥胖的潜在机制
杏鲍菇(Pleurotus eyngii, PE)大部分是在烹饪后食用的。本研究旨在利用代谢组学技术,研究PE在空气煎炸、水煮、煎炸和蒸煮四种烹饪方法下的代谢物和风味变化,筛选具有预防肥胖潜力成分的网络预测成分,并探讨其潜在机制。我们使用UHPLC-Q-Exactive-MS/MS代谢组学方法鉴定并筛选了35种代谢物作为PE的主要化学成分,包括脂质和类脂分子、有机酸及其衍生物、核苷、核苷酸、类似物和其他小分子。此外,使用网络药理学方法确定STAT3、CASP3和JUN等靶点在网络中发挥重要作用。结果通过分子对接得到了验证。本研究为PE烹饪方法的优化提供了依据,并为今后的研究提供了新的见解。
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CiteScore
5.80
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0.00%
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