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通过代谢组学分析从辣椒( spp.)叶提取物中鉴定α-葡萄糖苷酶抑制剂

Identification of α-Glucosidase Inhibitors from Leaf Extract of Pepper ( spp.) through Metabolomic Analysis.

作者信息

Assefa Samuel Tilahun, Yang Eun-Young, Asamenew Gelila, Kim Heon-Woong, Cho Myeong-Cheoul, Lee Jundae

机构信息

National Institute of Horticultural and Herbal Science (NIHHS), Rural Development Administration (RDA), Wanju-gun, Jeonju-si 55365, Korea.

Department of Horticulture, College of Agriculture and Life Sciences, Jeonbuk National University, Jeonju-si 54896, Korea.

出版信息

Metabolites. 2021 Sep 22;11(10):649. doi: 10.3390/metabo11100649.

Abstract

Metabolomics and in vitro α-glucosidase inhibitory (AGI) activities of pepper leaves were used to identify bioactive compounds and select genotypes for the management of type 2 diabetes mellitus (T2DM). Targeted metabolite analysis using UPLC-DAD-QToF-MS was employed and identified compounds that belong to flavone and hydroxycinnamic acid derivatives from extracts of pepper leaves. A total of 21 metabolites were detected from 155 samples and identified based on MS fragmentations, retention time, UV absorbance, and previous reports. Apigenin--(malonyl) hexoside, luteolin--(malonyl) hexoside, and chrysoeriol--(malonyl) hexoside were identified for the first time from pepper leaves. Pepper genotypes showed a huge variation in their inhibitory activity against α-glucosidase enzyme(AGE) ranging from 17% to 79%. Genotype GP38 with inhibitory activity of 79% was found to be more potent than the positive control acarbose (70.8%.). Orthogonal partial least square (OPLS) analyses were conducted for the prediction of the AGI activities of pepper leaves based on their metabolite composition. Compounds that contributed the most to the bioactivity prediction model (VIP >1.5), showed a strong inhibitory potency. Caffeoyl-putrescine was found to show a stronger inhibitory potency (IC = 145 µM) compared to acarbose (IC = 197 µM). The chemometric procedure combined with high-throughput AGI screening was effective in selecting polyphenols of pepper leaf for T2DM management.

摘要

利用辣椒叶的代谢组学和体外α-葡萄糖苷酶抑制(AGI)活性来鉴定生物活性化合物,并筛选用于管理2型糖尿病(T2DM)的基因型。采用超高效液相色谱-二极管阵列-四极杆飞行时间质谱(UPLC-DAD-QToF-MS)进行靶向代谢物分析,鉴定出辣椒叶提取物中属于黄酮和羟基肉桂酸衍生物的化合物。从155个样品中共检测到21种代谢物,并根据质谱碎片、保留时间、紫外吸收和先前的报道进行了鉴定。芹菜素-(丙二酰)己糖苷、木犀草素-(丙二酰)己糖苷和 Chrysoeriol-(丙二酰)己糖苷首次从辣椒叶中被鉴定出来。辣椒基因型对α-葡萄糖苷酶(AGE)的抑制活性差异巨大,范围从17%到79%。发现抑制活性为79%的基因型GP38比阳性对照阿卡波糖(70.8%)更有效。基于辣椒叶的代谢物组成,进行了正交偏最小二乘法(OPLS)分析以预测其AGI活性。对生物活性预测模型贡献最大的化合物(VIP>1.5)显示出很强的抑制效力。与阿卡波糖(IC = 197 µM)相比,咖啡酰腐胺显示出更强的抑制效力(IC = 145 µM)。化学计量学方法与高通量AGI筛选相结合,有效地筛选出了用于T2DM管理的辣椒叶多酚。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c28/8538662/070498345d0e/metabolites-11-00649-g001.jpg

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