Recent Developments in Procyanidins on Metabolic Diseases, Their Possible Sources, Pharmacokinetic Profile, and Clinical Outcomes

原花青素 血脂异常 食品科学 抗氧化剂 儿茶素 健康福利 功能性食品 化学 多酚 肥胖 传统医学 生物 医学 生物化学 内分泌学
作者
Ould Yahia Zineb,Ahmed K. Rashwan,Naymul Karim,Lu Yang,Jitbanjong Tangpong,Wei Chen
出处
期刊:Food Reviews International [Taylor & Francis]
卷期号:39 (8): 5255-5278 被引量:17
标识
DOI:10.1080/87559129.2022.2062770
摘要

Procyanidins (PCs) is member of the proanthocyanidins (or condensed tannins) class of flavonoids. They are oligomeric compounds, which can be formed from catechin and epicatechin molecules. PCs are abundant in our diet, including chocolate, apple, grapes, legumes, berries, peanuts, and others. Metabolic diseases (MD) are disorders that negatively alter the normal metabolic process, which can influence the ability of body cells to perform critical biochemical reactions (e.g. distribution of macronutrients such as proteins, fats, and carbohydrates). Obesity, diabetes, dyslipidemia, nonalcohol fatty liver disease, etc. are examples of MD. Thus, this review briefly summarized the rich sources, pharmacokinetic properties, and clinical outcomes of PCs. This comprehensively discussed the potential role of PCs against MD. PCs are abundant in dietary fruits, vegetables, nuts, legumes, and grains. Among all PCs sources, grape seeds, sorghum, chocolate, and apples have high concentrations. Based on available studies, PCs and PCs-rich foods have excellent biological effects against MD, e.g. antioxidant, anti-inflammatory, anti-obesity, anti-diabetic, cardioprotective, and neuroprotective effects. Among all effects of PCs, antioxidant, anti-obesity, and cardio-protectivity are promising. In conclusion, PCs or PC-rich food are promising bioactive compounds or components for the management of MD. Therefore, PCs or PCs-rich food can be used as potential ingredients for the development of functional foods with more health benefits and high consumer acceptability.
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
刚刚
CodeCraft应助WD_COMMITS采纳,获得10
1秒前
LYCORIS完成签到,获得积分10
2秒前
树阴照水发布了新的文献求助10
3秒前
温柔摩托发布了新的文献求助10
3秒前
打打应助英勇水云采纳,获得10
5秒前
6秒前
6秒前
7秒前
8秒前
樂le发布了新的文献求助10
9秒前
英俊的铭应助夜信采纳,获得10
9秒前
molihuakai应助祝新竹采纳,获得10
10秒前
奋斗幻姬发布了新的文献求助10
12秒前
12秒前
13秒前
深情安青应助花椰菜采纳,获得10
13秒前
活力向梦完成签到 ,获得积分10
14秒前
壮观源智完成签到,获得积分20
14秒前
14秒前
韩琳发布了新的文献求助10
16秒前
DDDD完成签到,获得积分10
16秒前
16秒前
CodeCraft应助尹欣鹤采纳,获得10
16秒前
xh应助稳如老狗采纳,获得10
17秒前
赚钱养宝钏完成签到 ,获得积分10
17秒前
怕孤单的幼萱完成签到,获得积分10
17秒前
18秒前
18秒前
18秒前
英勇水云发布了新的文献求助10
18秒前
18秒前
18秒前
18秒前
www发布了新的文献求助10
19秒前
19秒前
Duoz应助扶绥采纳,获得10
20秒前
壮观源智发布了新的文献求助10
21秒前
dungeon发布了新的文献求助10
21秒前
高分求助中
APA handbook of comparative psychology: Basic concepts, methods, neural substrate, and behavior 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
Römisch-Germanische Forschungen 500
Electric machines: theory, operating applications, and controls 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
When Is Two-Stage Sample Robust Optimization Asymptotically Optimal? 500
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 7602854
求助须知:如何正确求助?哪些是违规求助? 9178899
关于积分的说明 19656853
捐赠科研通 7178252
什么是DOI,文献DOI怎么找? 3269095
关于科研通互助平台的介绍 2433276
邀请新用户注册赠送积分活动 2262941