Possible abilities of dietary factors to prevent and treat diabetes via the stimulation of glucagon‐like peptide‐1 secretion

肠促胰岛素 胰高血糖素样肽-1 分泌物 肠内分泌细胞 刺激 糖尿病 2型糖尿病 内分泌学 内科学 医学 生物 内分泌系统 激素
作者
Takanori Tsuda
出处
期刊:Molecular Nutrition & Food Research [Wiley]
卷期号:59 (7): 1264-1273 被引量:39
标识
DOI:10.1002/mnfr.201400871
摘要

There is a pressing need for countermeasures against diabetes, which has increased in incidence, becoming a global issue. Glucagon‐like peptide‐1 (GLP‐1), a molecule secreted in enteroendocrine L cells in the lower small and large intestines, is thought to be one of the most important molecular targets for the prevention and treatment of diabetes. There has been increasing interest in the possible ability of dietary factors to treat diabetes via modulating GLP‐1 secretion. There is thought to be a close relationship between incretin and diet, and the purported best approach for using dietary factors to increase GLP‐1 activity is promotion of secretion of endogenous GLP‐1. It have been reported that nutrients as well as various non‐nutrient dietary factors can function as GLP‐1 secretogogues. Here, we present our findings on the GLP‐1 secretion‐stimulating functions of two dietary factors, curcumin and extract of edible sweet potato leaves, which contain caffeoylquinic acid derivatives. However, it is necessary to reveal in greater detail the stimulation of GLP‐1 secretion by dietary factors for preventing and treating diabetes. It is desirable to clarify the exact GLP‐1 secretory pathway, the effect of metabolites derived from dietary factors in gut lumen, and the relationship between incretin and meal.

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
KK发布了新的文献求助10
刚刚
Balance Man发布了新的文献求助10
1秒前
1秒前
丘比特应助VVV然采纳,获得10
2秒前
大个应助Nay采纳,获得10
2秒前
2秒前
2秒前
白色风车发布了新的文献求助10
3秒前
研友_VZG7GZ应助cm采纳,获得10
4秒前
科研小白完成签到,获得积分10
4秒前
4秒前
zhang发布了新的文献求助10
4秒前
Owen应助LLL采纳,获得10
6秒前
6秒前
研友_VZG7GZ应助LLL采纳,获得10
6秒前
宁琳发布了新的文献求助10
6秒前
上官若男应助LLL采纳,获得10
6秒前
无花果应助LLL采纳,获得30
6秒前
彭于晏应助LLL采纳,获得10
6秒前
6秒前
田様应助LLL采纳,获得10
6秒前
元煜祺完成签到,获得积分10
8秒前
Kao应助三九采纳,获得10
8秒前
v0id应助三九采纳,获得10
8秒前
8秒前
生动新蕾应助三九采纳,获得10
8秒前
奋斗雨灵完成签到,获得积分10
8秒前
mengxuep发布了新的文献求助10
9秒前
Lfei发布了新的文献求助10
9秒前
马晓玲发布了新的文献求助10
9秒前
小二郎应助闾丘山菡采纳,获得10
9秒前
JamesPei应助帆子采纳,获得10
10秒前
以诺发布了新的文献求助10
10秒前
Alice完成签到,获得积分10
11秒前
11秒前
烟花应助自由逐风采纳,获得10
12秒前
xuan发布了新的文献求助10
12秒前
13秒前
转山转水完成签到,获得积分10
13秒前
华仔应助陆帅帅他大伯采纳,获得10
13秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 7582182
求助须知:如何正确求助?哪些是违规求助? 9161229
关于积分的说明 19602032
捐赠科研通 7164313
什么是DOI,文献DOI怎么找? 3266104
关于科研通互助平台的介绍 2431004
邀请新用户注册赠送积分活动 2257295