Hegazi Nesrine M, Radwan Rasha A, Bakry Sherein M, Saad Hamada H
Phytochemistry and Plant Systematics Department, Division of Pharmaceutical Industries, National Research Centre, PO Box 12622, Cairo, Egypt.
Biochemistry Department, Faculty of Pharmacy, Sinai University-Kantara Branch, El Ismailia, 41611, Egypt.
J Adv Res. 2020 Jun 3;24:545-555. doi: 10.1016/j.jare.2020.06.001. eCollection 2020 Jul.
In the present study, the efficiency of three different solvents (HO, acidified HO, and 70% Methanol) for metabolites extraction from the leaves of sugar beet ( subsp. var. ) was investigated along with their inhibitory activity on pancreatic α-amylase and lipase for obesity management. The metabolic profile of the three extracts was analyzed by ultra-performance liquid chromatography (UPLC) coupled with electrospray ionization high-resolution mass spectrometric (ESI-HRMS-MS). Mass spectrometry-based molecular networking was employed to aid in metabolites annotation and for the visual investigation of the known metabolites and their analogues. The study led to the tentative identification of 45 metabolites including amino acids, purine derivatives, phenolic acids, flavonoids, fatty acids, and an alkaloid, articulating 24 compounds as a first time report from beet leaves along with 2 new putatively identified compounds: a flavone feruloyl conjugate () and a malonylated acacetin diglycoside (). The three extracting systems exhibited comparable efficiency for pulling out the secondary metabolites from the beet leaves. The study supported this finding and demonstrated that the three extracts inhibited the activity of both pancreatic α-amylase and lipase enzymes with no significant difference observed regarding the percentage of the inhibition of the enzymes. Conclusively, the extraction protocol has a minimal effect on the anti-obesity properties of beet leaves.
在本研究中，研究了三种不同溶剂（水、酸化水和70%甲醇）从甜菜（亚种 变种）叶片中提取代谢物的效率，以及它们对用于肥胖管理的胰腺α-淀粉酶和脂肪酶的抑制活性。通过超高效液相色谱（UPLC）结合电喷雾电离高分辨率质谱（ESI-HRMS-MS）分析了三种提取物的代谢谱。基于质谱的分子网络用于辅助代谢物注释以及对已知代谢物及其类似物进行可视化研究。该研究初步鉴定出45种代谢物，包括氨基酸、嘌呤衍生物、酚酸、黄酮类、脂肪酸和一种生物碱，其中24种化合物是首次从甜菜叶中报道，还有2种新的推定鉴定化合物：一种黄酮阿魏酰共轭物（）和一种丙二酰化金合欢素二糖苷（）。这三种提取系统从甜菜叶中提取次生代谢物的效率相当。该研究支持了这一发现，并表明这三种提取物均抑制胰腺α-淀粉酶和脂肪酶的活性，在酶抑制百分比方面未观察到显著差异。总之，提取方案对甜菜叶的抗肥胖特性影响最小。
