Non-coding RNAs and Berberine: A new mechanism of its anti-diabetic activities

小檗碱 生物 小RNA 核糖核酸 机制(生物学) 计算生物学 药理学 生物信息学 长非编码RNA 基因 生物化学 认识论 哲学
作者
Wenguang Chang
出处
期刊:European Journal of Pharmacology [Elsevier BV]
卷期号:795: 8-12 被引量:62
标识
DOI:10.1016/j.ejphar.2016.11.055
摘要

Type 2 Diabetes (T2D) is a metabolic disease with high mortality and morbidity. Non-coding RNAs, including small and long non-coding RNAs, are a novel class of functional RNA molecules that regulate multiple biological functions through diverse mechanisms. Studies in the last decade have demonstrated that non-coding RNAs may represent compelling therapeutic targets and play important roles in regulating the course of insulin resistance and T2D. Berberine, a plant-based alkaloid, has shown promise as an anti-hyperglycaemic, anti-hyperlipidaemic agent against T2D. Previous studies have primarily focused on a diverse array of efficacy end points of berberine in the pathogenesis of metabolic syndromes and inflammation or oxidative stress. Currently, an increasing number of studies have revealed the importance of non-coding RNAs as regulators of the anti-diabetic effects of berberine. The regulation of non-coding RNAs has been associated with several therapeutic actions of berberine in T2D progression. Thus, this review summarizes the anti-diabetic mechanisms of berberine by focusing on its role in regulating non-coding RNA, thus demonstrating that berberine exerts global anti-diabetic effects by targeting non-coding RNAs and that these effects involve several miRNAs, lncRNAs and multiple signal pathways, which may enhance the current understanding of the anti-diabetic mechanism actions of berberine and provide new pathological targets for the development of berberine-related drugs.
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
1秒前
1秒前
1秒前
任性的冷梅完成签到,获得积分10
4秒前
hhhhhhl发布了新的文献求助10
5秒前
yangyangyoung发布了新的文献求助10
6秒前
赛因斯完成签到,获得积分10
6秒前
WXT雪完成签到,获得积分10
7秒前
up完成签到 ,获得积分10
7秒前
more发布了新的文献求助30
8秒前
ren80522应助任性的冷梅采纳,获得10
8秒前
宝宝言兼发布了新的文献求助10
14秒前
FashionBoy应助yangyangyoung采纳,获得10
15秒前
来自3602完成签到,获得积分10
17秒前
YG完成签到,获得积分10
19秒前
qpp完成签到,获得积分10
20秒前
SciGPT应助Hevesy采纳,获得30
20秒前
无解完成签到,获得积分10
20秒前
23秒前
量子星尘发布了新的文献求助10
24秒前
26秒前
灰色白面鸮完成签到,获得积分10
27秒前
YElv完成签到,获得积分10
28秒前
5823364完成签到,获得积分10
29秒前
32秒前
英姑应助贪玩的笑阳采纳,获得10
42秒前
小毛完成签到,获得积分10
44秒前
hhhhhhl完成签到,获得积分10
45秒前
张闲完成签到,获得积分10
45秒前
君齐发布了新的文献求助10
45秒前
溪泉发布了新的文献求助10
46秒前
爆米花应助aaaaarfv采纳,获得10
47秒前
量子星尘发布了新的文献求助10
48秒前
48秒前
hhhhhhl发布了新的文献求助10
51秒前
51秒前
51秒前
8R60d8应助fufu采纳,获得10
52秒前
52秒前
53秒前
高分求助中
【提示信息,请勿应助】请使用合适的网盘上传文件 10000
The Oxford Encyclopedia of the History of Modern Psychology 1500
Green Star Japan: Esperanto and the International Language Question, 1880–1945 800
Sentimental Republic: Chinese Intellectuals and the Maoist Past 800
The Martian climate revisited: atmosphere and environment of a desert planet 800
Parametric Random Vibration 800
Building Quantum Computers 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3864358
求助须知:如何正确求助?哪些是违规求助? 3406687
关于积分的说明 10651069
捐赠科研通 3130689
什么是DOI,文献DOI怎么找? 1726537
邀请新用户注册赠送积分活动 831802
科研通“疑难数据库(出版商)”最低求助积分说明 780009