Metabolomics approach to identify the active substances influencing the antidiabetic activity of Lagerstroemia species
文献类型： 外文期刊
作者： Kim, Mun-Ock 1 ; Lee, Su Ui 1 ; Yuk, Heung Joo 2 ; Jang, Hyun-Jae 1 ; Lee, Jae-Won 1 ; Kwon, Eun-Bin 1 ; Paik, Jin-Hyub 3 ; Choi, SangHo 3 ; Nizar, Adek 4 ; Tran The Bach 5 ; Sydara, Kongmany 6 ; Jin, Hang 7 ; Woo, So-Yeun 1 ; Oh, Sei-Ryang 1 ; Ryu, Hyung Won 1 ;
作者机构： 1.Korea Res Inst Biosci & Biotechnol, Nat Med Res Ctr, Cheongju 28116, South Korea
2.Korea Inst Oriental Med, Korean Med Convergence Res Div, Daejeon 34054, South Korea
3.Korea Res Inst Biosci & Biotechnol, Int Biol Mat Res Ctr, Daejeon 34141, South Korea
4.Agcy Assessment & Applicat Technol BPPT, Ctr Pharmaceut & Med Technol, Agroind Technol & Biotechnol, Jl MH Thamrin 8, Jakarta 10340, Indonesia
5.Vietnam Acad Sci & Technol, Inst Ecol & Biol Resources, 18 Hoang Quoc Viet, Hanoi, Vietnam
6.Minist Hlth, Inst Tradit Med, Viangchan 116, Laos
7.Yunnan Acad Agr Sci, Inst Med Plants, Kunming 650205, Yunnan, Peoples R China
关键词： Lagerstroemia; Metabolomics; Flavonol glycosides; Corosolic acid; Antidiabetic
期刊名称：JOURNAL OF FUNCTIONAL FOODS （ 影响因子：4.451； 五年影响因子：4.907 ）
ISSN： 1756-4646
年卷期： 2020 年 64 卷
页码：
收录情况： SCI
摘要： Rational and efficient approaches to research and development are becoming more popular for increasing value enhancement in bioactive materials. In this study, metabolite profiles of 17 different Lagerstroemia species from different countries were performed using UPLC-QTof-MS combined with chemometric tools to identify potential metabolite predictors of antidiabetic activity. PLS-DA of the Lagerstroemia samples indicated two large, distinct clusters in the score plot. On the loading scatter plot, significant changes in metabolites of antidiabetic candidates were found between species, and two flavonol glycosides and corosolic acid were evaluated as key markers among the 25 analyzed metabolites. Based on the screening results, samples high in two triterpenic acids (corosolic acid and asiatic acid) showed a tendency to inhibit glucose uptake, which could have contributed to the correlation of active and inactive extracts. Therefore, these comprehensive results support our biochemometric models and contribute to the rational and efficient studies of pharmacologically active metabolites.
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