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探索藜麦籽粒的地理差异:通过气相色谱 - 质谱联用、液相色谱 - 四极杆飞行时间串联质谱、分子网络和化学计量学分析揭示其抗阿尔茨海默病活性。

Exploring geographic variations in quinoa grains: Unveiling anti-Alzheimer activity via GC-MS, LC-QTOF-MS/MS, molecular networking, and chemometric analysis.

作者信息

Younis Inas Y, Sedeek Mohamed S, Essa Ahmed F, Elgamal Abdelbaset M, Eltanany Basma M, Goda Zeinab M, Pont Laura, Benavente Fernando, Mohsen Engy

机构信息

Pharmacognosy Department, Faculty of Pharmacy, Cairo University, Cairo, Egypt.

Pharmacognosy Department, Faculty of Pharmacy, Cairo University, Cairo, Egypt; Pharmacognosy Department, Faculty of Pharmacy, King Salman International University, Ras-Sedr, South Sinai, Egypt.

出版信息

Food Chem. 2025 Feb 15;465(Pt 1):141918. doi: 10.1016/j.foodchem.2024.141918. Epub 2024 Nov 5.

DOI:10.1016/j.foodchem.2024.141918
PMID:39541691
Abstract

Quinoa is an ancient Andean crop with a significant interest due to its nutritional and health benefits. This work provides a comprehensive metabolite profiling of five commercially available quinoa grains from diverse geographical origins. GC-MS analysis of primary metabolites identified sugars, sugar derivatives, and lipids as the predominant classes. LC-QTOF-MS/MS metabolomics and molecular networking facilitated the identification of 151 secondary metabolites, including 20 flavonoids, 14 saponins, and 20 lipids, which were reported for the first time in quinoa. In the AChE inhibition assay, USA white quinoa exhibited the highest activity. Chemometric analyses indicated that flavonoids and saponins were crucial for distinguishing quinoa grains. Notably, flavonoid glycosides and saponins were positively correlated with AChE inhibition. This study represents the first MS-based metabolomics investigation using molecular networking and chemometrics to explore the metabolome heterogeneity of commercial quinoa grains, underscoring their potential as a promising natural source for combating Alzheimer's disease.

摘要

藜麦是一种古老的安第斯作物,因其营养和健康益处而备受关注。这项工作对来自不同地理来源的五种市售藜麦籽粒进行了全面的代谢物谱分析。对初级代谢物的气相色谱 - 质谱分析确定糖、糖衍生物和脂质为主要类别。液相色谱 - 四极杆飞行时间串联质谱代谢组学和分子网络技术有助于鉴定出151种次生代谢物,包括20种黄酮类化合物、14种皂苷和20种脂质,这些在藜麦中均属首次报道。在乙酰胆碱酯酶抑制试验中,美国白藜麦表现出最高活性。化学计量学分析表明,黄酮类化合物和皂苷对于区分藜麦籽粒至关重要。值得注意的是,黄酮糖苷和皂苷与乙酰胆碱酯酶抑制呈正相关。本研究是首次基于质谱的代谢组学研究,利用分子网络和化学计量学来探索商业藜麦籽粒的代谢组异质性,强调了它们作为对抗阿尔茨海默病的有前景的天然来源的潜力。

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引用本文的文献

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