Antidiabetic bioactive natural products from medicinal plants

医学 血糖性 胰岛素抵抗 糖尿病 内分泌系统 药用植物 胰岛素 生物信息学 药理学 传统医学 生物 内分泌学 激素
作者
P. S. Tresina,M. Santhiya Selvam,A. Doss,Vandana Mohan
出处
期刊:Studies in natural products chemistry 卷期号:: 75-118 被引量:2
标识
DOI:10.1016/b978-0-323-91250-1.00004-5
摘要

Diabetes mellitus (DM), caused by either insulin resistance or abnormal insulin secretion, or both, continues to be one of the most prevalent endocrine disorders in the world. In fact, DM is the third most common cause of mortality and morbidity, next only to cancer and cardiovascular disorders. About 463 million people were said to have suffered from DM around the world in 2019. This number is soon to reach 548 million by the end of 2020 and is projected to be 700 million by 2045. Several studies have indicated that DM is found to be more prevalent in high-income countries and urban areas than in the rest. Typically characterized by multiple etiologies and a persistent state of hyperglycemia, DM is prone to cause multiple disorders, affecting several organs of the body. Its treatment, thus, proves to be quite tricky, requiring a multimodal approach. For instance, in order to manage the glucose levels of a DM patient, it is crucial to identify a whole host of individual factors that contribute toward the defective glycemic index. Of the many ways of effectively controlling and managing DM, several plant species and plant-based compounds play a pivotal role. It is against this backdrop that a review was conducted to ascertain the performance and characteristics of several plant-based bioactive compounds in the treatment of DM. It was found that the plant-based bioactive compounds exhibit a higher level of antidiabetic activity than that of non-plant-based hypoglycemic drugs. A compendious account of the review is provided here. It may be noted that though the review indicates the high level of antidiabetic activity of plant-based drugs such as polyphenols, alkaloids, flavonoids, coumarins, and terpenoids, attributing their derivatives to the corresponding plant structures, it does not include any discussion on structure-related activity.

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
Marlo完成签到,获得积分10
1秒前
王hu发布了新的文献求助10
1秒前
1秒前
1秒前
岳欣完成签到,获得积分10
2秒前
英俊的铭应助凌风采纳,获得10
2秒前
3秒前
眯眯眼的砖头完成签到,获得积分10
3秒前
研友_LB15l8完成签到,获得积分20
5秒前
ZeKaWa应助尊敬的灰狼采纳,获得10
5秒前
Lenu完成签到,获得积分20
5秒前
大模型应助zhang采纳,获得10
7秒前
好好吃饭完成签到 ,获得积分10
7秒前
ei发布了新的文献求助10
8秒前
ZeKaWa应助Alet采纳,获得20
8秒前
赘婿应助房房房破防啦采纳,获得10
8秒前
斯文败类应助CEJ采纳,获得10
8秒前
8秒前
10秒前
wjyyy完成签到,获得积分10
10秒前
森鹿完成签到,获得积分10
10秒前
深情安青应助尘苏采纳,获得10
11秒前
11秒前
清酒完成签到,获得积分10
12秒前
12秒前
太清发布了新的文献求助10
13秒前
隐形曼青应助体贴的晓曼采纳,获得10
13秒前
闪闪的皮卡丘完成签到,获得积分10
14秒前
重要问丝发布了新的文献求助10
15秒前
15秒前
yzxzdm发布了新的文献求助10
15秒前
15秒前
传奇3应助wei采纳,获得80
16秒前
17秒前
17秒前
非酋啸月完成签到 ,获得积分10
17秒前
标致的丝发布了新的文献求助10
18秒前
王豆豆完成签到,获得积分10
19秒前
小坤不慌发布了新的文献求助10
19秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 400
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6492120
求助须知:如何正确求助?哪些是违规求助? 8289867
关于积分的说明 17689242
捐赠科研通 5583803
什么是DOI,文献DOI怎么找? 2915205
邀请新用户注册赠送积分活动 1892371
关于科研通互助平台的介绍 1750330