Lei-gong-gen formula granule attenuates hyperlipidemia in rats via cGMP-PKG signaling pathway

高脂血症 药理学 胆固醇 免疫印迹 医学 传统医学 化学 内分泌学 生物化学 基因 糖尿病
作者
Taijin Lan,Qiaofeng Li,Ming Chang,Chunli Yin,Dan Zhu,Zheng Wu,Xiaolan Li,Weiquan Zhang,Bangwen Yue,Junlin Shi,Hebao Yuan,Zhiheng Su,Hongwei Guo
出处
期刊:Journal of Ethnopharmacology [Elsevier BV]
卷期号:260: 112989-112989 被引量:19
标识
DOI:10.1016/j.jep.2020.112989
摘要

Lei-gong-gen formula granule (LFG) is a folk prescription derived from Zhuang nationality, the largest ethnic minority among the 56 nationalities in China. It is composed of three herbs, namely Centella asiatica (L.) Urb., Eclipta prostrata (L.) L., Smilax glabra Roxb. It has been widely used as health protection tea for many years to prevent cardiovascular and cerebrovascular diseases such as hyperlipidemia and hypertension. This study validated the lipid-lowering effect of LFG in a hyperlipidemia rat model. Then we employed network pharmacology and molecular biological approach to identify the active ingredients of LFG, corresponding targets, and its anti-hyperlipidemia mechanisms. Hyperlipidemia rat model was established by feeding male Sprague-Dawley rats with high-fat diet for two weeks. LFG (two doses of 10 and 20 g/kg) was administered orally to hyperlipidemia rat model for 4 weeks, twice per day. Serum levels of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C) were monitored in rats pre and post-treatment. Hematoxylin-eosin staining was applied to observe the pathology and lipid accumulation of liver. We then performed network pharmacology analysis to predict the ingredients, their associated targets, and hyperlipidemia associated targets. Pathway analysis with significant genes was carried out using KEGG pathway. These genes and proteins intersectioned between compound targets and hyperlipidemia targets were further verified with samples from hyperlipidemia rats treated with LFG using Real-time RT-PCR and Western Blot. LFG attenuated hyperlipidemia in rat model, and this was characterized with decreased serum levels of TC, LDL-C, liver wet weight, and liver index. LFG alleviated the hepatic steatosis in hyperlipidemia rats. Network pharmacology analysis identified 53 bioactive ingredients from LFG formula (three herbs), which link to 765 potential targets. 53 hyperlipidemia associated genes were retrieved from public databases. There were 10 common genes between ingredients-targets and hyperlipidemia associated genes, which linked to 20 bioactive ingredients. Among these 10 genes, 3 of them were validated to be involved in LFG's anti-hyperlipidemia effect using Real-time RT-PCR, namely ADRB2 encoding beta-2 adrenergic receptor, NOS3 encoding nitric oxide synthase 3, LDLR encoding low-density lipoprotein receptor. The cGMP-PKG signaling pathway was enriched for hyperlipidemia after pharmacology network analysis with ADRB2, NOS3, and LDLR. Interestingly, expression of cGMP-dependent protein kinase (PKG) was downregulated in hyperlipidemia rat after LFG treatment. Molecular docking study further supported that ferulic acid, histidine, p-hydroxybenzoic acid, and linalool were potential active ingredients for LFG's anti-hyperlipidemia effect. LC-MS/MS analysis confirmed that ferulic acid and p-hydroxybenzoic acid were active ingredients of LFG. LFG exhibited the lipid-lowering effect, which might be attributed to downregulating ADRB2 and NOS3, and upregulating LDLR through the cGMP-PKG signaling pathway in hyperlipidemia rat. Ferulic acid and p-hydroxybenzoic acid might be the underlying active ingredients which affect the potential targets for their anti-hyperlipidemia effect.

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
热心的送终完成签到 ,获得积分10
1秒前
三脸茫然完成签到 ,获得积分0
1秒前
小曹医生完成签到,获得积分10
9秒前
对对对完成签到 ,获得积分10
10秒前
12秒前
bkagyin应助Angie采纳,获得10
20秒前
22秒前
xinxin完成签到 ,获得积分10
25秒前
辛勤的泽洋完成签到 ,获得积分10
28秒前
优雅莞完成签到,获得积分0
29秒前
Angie发布了新的文献求助10
32秒前
xun完成签到,获得积分10
36秒前
xiadongbj完成签到 ,获得积分10
42秒前
曦麟完成签到,获得积分10
43秒前
阿策完成签到,获得积分10
43秒前
elebug完成签到,获得积分10
47秒前
shang完成签到,获得积分10
50秒前
成功的强完成签到,获得积分10
51秒前
无限萃完成签到,获得积分10
1分钟前
zz完成签到,获得积分10
1分钟前
霉盘完成签到,获得积分10
1分钟前
Semy应助认真慕青采纳,获得30
1分钟前
不知完成签到 ,获得积分10
1分钟前
踏实谷蓝完成签到 ,获得积分10
1分钟前
纯牛奶完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
认真慕青完成签到,获得积分20
1分钟前
迅速的幻雪完成签到 ,获得积分10
1分钟前
Angie发布了新的文献求助10
1分钟前
xiaofan完成签到,获得积分10
1分钟前
早日退休完成签到,获得积分10
1分钟前
嘲鸫完成签到,获得积分10
1分钟前
天天向上的RSJ完成签到,获得积分10
1分钟前
少年完成签到 ,获得积分10
1分钟前
卓卓卓完成签到 ,获得积分10
1分钟前
枫糖叶落完成签到,获得积分10
1分钟前
Su完成签到,获得积分10
1分钟前
qiqiqiqiqi完成签到 ,获得积分10
1分钟前
gengfu完成签到,获得积分10
2分钟前
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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 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 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 6353185
求助须知:如何正确求助?哪些是违规求助? 8168047
关于积分的说明 17191458
捐赠科研通 5409215
什么是DOI,文献DOI怎么找? 2863646
邀请新用户注册赠送积分活动 1840978
关于科研通互助平台的介绍 1689834