Inhibition of enzymes associated with obesity by the polyphenol-rich extracts of Hibiscus sabdariffa

木槿 化学 芦丁 多酚 乙酸乙酯 槲皮素 生物化学 食品科学 抗氧化剂
作者
Manisha Singh,Thilini Thrimawithana,Ravi Shukla,Benu Adhikari
出处
期刊:Food bioscience [Elsevier BV]
卷期号:50: 101992-101992 被引量:19
标识
DOI:10.1016/j.fbio.2022.101992
摘要

Obesity is a prominent global public health challenge. This study is aimed to explore the inhibition properties of organic and aqueous extracts of Hibiscus sabdariffa against the major enzymes associated with obesity (α-amylase, α-glucosidase, and pancreatic lipase). Extraction was carried out using water and organic solvents (methanol, ethanol and ethyl acetate) and inhibitory effect of these extracts on above-mentioned enzymes was carried out using in vitro method. All four extracts showed different yet significant potential to inhibit these enzymes. The organic extracts showed much stronger inhibitory effect on the enzymes than aqueous extract as the former were richer in polyphenols. The potassium hydroxycitrate, which is a salt of major organic acid of H. sabdariffa, did not hinhibit any of these enzymes. The combination of polyphenol-rich extract with potassium hydroxycitrate did not bring about additional inhibition indicating that inhibition potential of H. sabdariffa extract against the above-mentioned enzymes is due to the polyphenolic compounds. The molecular docking approach showed that the phenolic compounds of H. Sabdariffa, particularly catechin hydrate and rutin hydrate, have higher affnity to bind at the active sites of these enzymes, generate hydrogen bonds and thus inhibit their enzymatic activity.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
雨之夏日发布了新的文献求助10
刚刚
刚刚
刚刚
123完成签到,获得积分10
1秒前
1秒前
霖总发布了新的文献求助10
1秒前
现代的芹发布了新的文献求助10
1秒前
CipherSage应助baidi采纳,获得10
1秒前
Gary发布了新的文献求助10
2秒前
展颜关注了科研通微信公众号
2秒前
Shark发布了新的文献求助10
2秒前
2秒前
科研通AI6.2应助个性妙芙采纳,获得10
3秒前
可爱的函函应助与我常在采纳,获得10
3秒前
大个应助健忘的饼干采纳,获得30
3秒前
大模型应助豆腐采纳,获得10
3秒前
大个应助111采纳,获得10
4秒前
4秒前
Liuanshuo完成签到,获得积分10
4秒前
4秒前
4秒前
悦耳的语堂完成签到,获得积分10
4秒前
4秒前
wwz发布了新的文献求助30
4秒前
wanci应助PhysicsXX采纳,获得10
5秒前
GZB发布了新的文献求助10
5秒前
5秒前
六六发布了新的文献求助10
5秒前
xingxing完成签到,获得积分10
5秒前
CipherSage应助tooty采纳,获得10
6秒前
6秒前
CHEN发布了新的文献求助200
6秒前
DW应助xx采纳,获得10
6秒前
Orange应助yangqiaozhe采纳,获得10
6秒前
6秒前
Caiyuping完成签到 ,获得积分10
6秒前
MM1_8发布了新的文献求助10
6秒前
动力小滋完成签到,获得积分10
7秒前
Owen应助李小葵采纳,获得10
7秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
DIPPR Project 801 - Full Version 380
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7767444
求助须知:如何正确求助?哪些是违规求助? 9311073
关于积分的说明 20321479
捐赠科研通 7352460
什么是DOI,文献DOI怎么找? 3315318
关于科研通互助平台的介绍 2464693
邀请新用户注册赠送积分活动 2330011