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.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
科研通AI5应助机灵向日葵采纳,获得10
2秒前
Hello应助复杂的沛儿采纳,获得10
3秒前
7秒前
QQWQEQRQ完成签到,获得积分10
8秒前
9秒前
11秒前
研友_Z30GJ8发布了新的文献求助10
12秒前
小贺完成签到,获得积分10
12秒前
研友_VZG7GZ应助zz采纳,获得10
12秒前
科研通AI5应助zz采纳,获得10
12秒前
12秒前
走之完成签到,获得积分10
13秒前
qian发布了新的文献求助100
14秒前
14秒前
15秒前
小蘑菇应助small_LL采纳,获得10
17秒前
yuzhongLuo发布了新的文献求助10
17秒前
18秒前
量子星尘发布了新的文献求助10
19秒前
21秒前
Zoe发布了新的文献求助10
21秒前
perry4rosa应助么么叽采纳,获得10
22秒前
科研通AI5应助楠小秾采纳,获得10
26秒前
yuzhongLuo完成签到,获得积分10
26秒前
时尚的剑心完成签到,获得积分10
27秒前
zzzz发布了新的文献求助10
28秒前
tannie完成签到 ,获得积分10
31秒前
聪明的愫关注了科研通微信公众号
35秒前
隐形曼青应助科研通管家采纳,获得10
35秒前
Ava应助科研通管家采纳,获得10
35秒前
35秒前
田様应助科研通管家采纳,获得10
35秒前
英姑应助科研通管家采纳,获得10
35秒前
传奇3应助科研通管家采纳,获得10
36秒前
kangkang发布了新的文献求助20
36秒前
JamesPei应助科研通管家采纳,获得10
36秒前
科研通AI2S应助科研通管家采纳,获得10
36秒前
科研通AI6应助科研通管家采纳,获得10
36秒前
汉堡包应助科研通管家采纳,获得10
36秒前
高分求助中
(应助此贴封号)【重要!!请各位详细阅读】【科研通的精品贴汇总】 10000
Voyage au bout de la révolution: de Pékin à Sochaux 700
血液中补体及巨噬细胞对大肠杆菌噬菌体PNJ1809-09活性的影响 500
Methodology for the Human Sciences 500
First Farmers: The Origins of Agricultural Societies, 2nd Edition 500
Simulation of High-NA EUV Lithography 400
Metals, Minerals, and Society 400
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4314228
求助须知:如何正确求助?哪些是违规求助? 3833534
关于积分的说明 11993107
捐赠科研通 3473785
什么是DOI,文献DOI怎么找? 1904916
邀请新用户注册赠送积分活动 951670
科研通“疑难数据库(出版商)”最低求助积分说明 853181