Functional Characterization of Epitheaflagallin 3-O-Gallate Generated in Laccase-Treated Green Tea Extracts in the Presence of Gallic Acid

没食子酸 漆酶 化学 多酚 儿茶素 没食子酸表没食子酸酯 绿茶提取物 表儿茶素没食子酸盐 食品科学 生物化学 抗氧化剂 绿茶
作者
Nobuya Itoh,Junji Kurokawa,Yasuhiro Isogai,Masaru Ogasawara,Takayuki Matsunaga,Tsutomu Ōkubo,Yuji Katsube
出处
期刊:Journal of Agricultural and Food Chemistry [American Chemical Society]
卷期号:65 (48): 10473-10481 被引量:17
标识
DOI:10.1021/acs.jafc.7b04208
摘要

Epitheaflagallin (ETFG) and epitheaflagallin 3-O-gallate (ETFGg) are minor polyphenols in black tea extract that are enzymatically synthesized from epigallocatechin (EGC) and epigallocatechin gallate (EGCg), respectively, in green tea extract via laccase oxidation in the presence of gallic acid. The constituents of laccase-treated green tea extract in the presence of gallic acid are thus quite different from those of nonlaccase-treated green tea extract: EGC and EGCg are present in lower concentrations, and ETFG and ETFGg are present in higher concentrations. Additionally, laccase-treated green tea extract contains further polymerized catechin derivatives, comparable with naturally fermented teas such as oolong tea and black tea. We found that ETFGg and laccase-treated green tea extracts exhibit versatile physiological functions in vivo and in vitro, including antioxidative activity, pancreatic lipase inhibition, Streptococcus sorbinus glycosyltransferase inhibition, and an inhibiting effect on the activity of matrix metalloprotease-1 and -3 and their synthesis by human gingival fibroblasts. We confirmed that these inhibitory effects of ETFGg in vitro match well with the results obtained by docking simulations of the compounds with their target enzymes or noncatalytic protein. Thus, ETFGg and laccase-treated green tea extracts containing ETFGg are promising functional food materials with potential antiobesity and antiperiodontal disease activities.
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
机灵灯泡发布了新的文献求助10
1秒前
秣旎发布了新的文献求助10
1秒前
Echo发布了新的文献求助10
2秒前
不懂科研发布了新的文献求助10
3秒前
于某人发布了新的文献求助10
4秒前
4秒前
万能图书馆应助幸运星采纳,获得10
4秒前
5秒前
7秒前
8秒前
bxsg完成签到,获得积分10
9秒前
科研通AI6.2应助望十五月采纳,获得10
9秒前
lllllll发布了新的文献求助10
10秒前
11秒前
CodeCraft应助科研通管家采纳,获得10
11秒前
东方元语应助科研通管家采纳,获得20
12秒前
慕青应助科研通管家采纳,获得10
12秒前
12秒前
12秒前
奔跑应助科研通管家采纳,获得10
12秒前
顾矜应助科研通管家采纳,获得30
12秒前
打打应助科研通管家采纳,获得10
12秒前
我是老大应助独特的鹅采纳,获得10
12秒前
13秒前
13秒前
勤劳的白晴完成签到,获得积分10
13秒前
若一应助hdc12138采纳,获得10
13秒前
15秒前
Gaojie Yan应助幸运星采纳,获得10
15秒前
17秒前
17秒前
巨纪完成签到,获得积分20
18秒前
无花果应助里旺采纳,获得10
19秒前
Gaojie Yan应助萱棚采纳,获得10
19秒前
Hello应助Echo采纳,获得10
21秒前
喽喽发布了新的文献求助10
21秒前
一条鱼完成签到 ,获得积分10
22秒前
23秒前
张开心应助q123采纳,获得10
25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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7637984
求助须知:如何正确求助?哪些是违规求助? 9211325
关于积分的说明 19758495
捐赠科研通 7204970
什么是DOI,文献DOI怎么找? 3275767
关于科研通互助平台的介绍 2437385
邀请新用户注册赠送积分活动 2272936