Alleviation of Fufang Fanshiliu decoction on type II diabetes mellitus by reducing insulin resistance: A comprehensive network prediction and experimental validation

胰岛素抵抗 小桶 2型糖尿病 药理学 汤剂 胰岛素 药品 2型糖尿病 小檗碱 医学 生物 糖尿病 基因本体论 内分泌学 内科学 生物化学 基因 基因表达
作者
Weibo Dai,Chang Chen,Gengting Dong,Guangru Li,Weiwen Peng,Xin Liu,Jing Yang,Leyu Li,Ruiyan Xu,Xianjing Hu
出处
期刊:Journal of Ethnopharmacology [Elsevier BV]
卷期号:294: 115338-115338 被引量:12
标识
DOI:10.1016/j.jep.2022.115338
摘要

Fufang Fanshiliu decoction (FFSLD) is a Chinese herbal medicine prescription that has been used in type 2 diabetes mellitus (T2DM), while the underlying mechanism remains unclear.To validate the efficacy and explore the potential mechanisms of FFSLD in treating T2DM via integrating a network pharmacological approach and experimental evaluation.T2DM mice model induced by high-fat diet feeding combined with streptozotocin injection was selected to investigate the alleviation of FFSLD against T2DM, via detecting the levels of glucose, insulin, glucagon (GC), triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C). Network pharmacological analysis was used to predict the potential mechanisms, including the pharmacokinetics and drug-likeness screening, active ingredients and potential targets prediction, network analysis, and enrichment analysis. The candidate bioactive molecules of FFSLD, and targets information excavated through TCMSP, Uniprot, GeneCards, OMIM databases, were combined for comprehensive analysis by constructing "drug-compound-target-disease" and "protein-protein interaction" networks. Enrichment analysis was performed via Gene Ontology (GO) and Koto Encyclopedia of Genes and Genomes (KEGG) databases. HepG2 insulin-resistance (IR) cells model induced by high glucose was used to verify the potential mechanisms of FFSLD against T2DM which were predicted by the network pharmacology.The animal study showed that FFSLD significantly decreased the blood glucose, and reversed the abnormal levels of insulin, GC, TG, TC, HDL-C, and LDL-C in T2DM mice. Network pharmacological analysis indicated that 106 active compounds of FFSLD might be correlated with 628 targets in treating T2DM, and the mechanism would probably be related to insulin resistance that harbored a high response value (P = 5.88844 E-33) though regulating Akt1, ESR1, oxidoreductase activity, and JAK/STAT signalings. Experimental validation showed that FFSLD reduced the ROS level, up-regulated the expressions of p-AKT, Nrf-2, and ESR1, and down-regulated the expressions of JAK2, STAT3, and Keap-1 in the HepG2-IR cells model.This study demonstrated that the therapeutic effect of FFSLD on T2DM was related to IR alleviation. The underlying mechanisms were associated with the regulation of PI3K/AKT, JAK/STAT, oxidative stress, and ESR signaling pathways.

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
科目三应助yy采纳,获得10
刚刚
刚刚
天天快乐应助BEWATER采纳,获得10
刚刚
Jey完成签到,获得积分10
1秒前
Borw完成签到 ,获得积分10
1秒前
1秒前
DNA发布了新的文献求助30
1秒前
zz发布了新的文献求助10
1秒前
1秒前
Yuan88发布了新的文献求助10
3秒前
3秒前
ankang发布了新的文献求助100
4秒前
4秒前
YY发布了新的文献求助10
4秒前
汉堡包应助pngyyyy采纳,获得10
4秒前
李爱国应助前陈似锦采纳,获得10
5秒前
6秒前
6秒前
6秒前
Costing发布了新的文献求助10
7秒前
无极微光应助小橘子2022采纳,获得20
7秒前
ggw发布了新的文献求助10
7秒前
7秒前
Y神完成签到 ,获得积分10
7秒前
勤劳的映菡完成签到,获得积分10
7秒前
cacaca发布了新的文献求助10
7秒前
Yuan88发布了新的文献求助10
8秒前
8秒前
英俊剑封发布了新的文献求助10
8秒前
SciGPT应助somin采纳,获得10
9秒前
元谷雪发布了新的文献求助10
9秒前
10秒前
赘婿应助科研小白采纳,获得10
10秒前
今后应助DNA采纳,获得10
10秒前
钱笑给钱笑的求助进行了留言
11秒前
EmmaEmma发布了新的文献求助10
11秒前
11秒前
HSTrigger发布了新的文献求助10
11秒前
zhgj发布了新的文献求助100
11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
Principles of town planning: translating concepts to applications 1000
内視鏡的に摘除しえた十二指腸乳頭部腫瘍の2例 660
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Positive Obsession: The Life and Times of Octavia E. Butler 500
Surgical Ergonomic Pilot Study Using a Posture Biofeedback Device in Rhinology: A MultiPhase Quality Improvement Study 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 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 7691948
求助须知:如何正确求助?哪些是违规求助? 9253373
关于积分的说明 19982267
捐赠科研通 7264818
什么是DOI,文献DOI怎么找? 3291140
关于科研通互助平台的介绍 2447338
邀请新用户注册赠送积分活动 2296313