Transcriptome analysis to reveal the mechanism of the effect of Echinops latifolius polysaccharide B on palmitate-induced insulin-resistant

胰岛素抵抗 糖原 小RNA 胰岛素 多糖 转录组 碳水化合物代谢 内分泌学 生物 糖原合酶 内科学 生物化学 基因表达 基因 医学
作者
Ran Li,Yajuan Xia,Zhenzhen Gao,Yue Song,Zhiwei Guo,Ying Yang
出处
期刊:Biomedicine & Pharmacotherapy [Elsevier]
卷期号:143: 112203-112203 被引量:5
标识
DOI:10.1016/j.biopha.2021.112203
摘要

Hepatic insulin resistance is a crucial pathological process in type 2 diabetes mellitus (T2DM) associated with visceral adiposity and metabolic disorders. Echinops latifolius polysaccharide B (ETPB), a polysaccharide extracted from Echinops latifolius Tausch, increases insulin sensitivity in the high-fat diet-fed and STZ induced SD rat model and even prevented hepatic metabolic disorders. However, the mechanism by which ETPB improves carbohydrate and lipid metabolisms in the liver with insulin resistance remains largely unknown. In the present work, an lnsulin resistance cell model (IR-HepG2) was established. Glucose consumption, glycogen content, triglycerides (TG), and free fatty acids (FFAs) levels were detected. The result revealed that the intervention of ETPB significantly increased glucose consumption and glycogen synthesis and reduced FFAs and TG production in IR-HepG2 cells. Further, we also employed RNA-seq to identify differentially expressed miRNAs (DEMs) and mRNAs (DEGs) with a fold change of ≥ 1.5 and p-value of <0.05. Finally, we identified 1028, 682, 382, 1614, 519 and 825 DEGs, and 71, 113, 94, 68, 52 and 38 DEMs in different comparisons, respectively. Based on a short time-series expression miner (STEM) analysis, six profiles were chosen for further analysis. Seventeen insulin resistance-associated dynamic DEGs were identified during ETPB stimulation. Based on these dynamic DEGs, the related miRNAs were acquired from DEMs, and an integrated miRNA-mRNA regulatory network was subsequently constructed. Besides, some DEGs and DEMs were validated using qPCR. This study provides transcriptomic evidence of the molecular mechanism involved in HepG2 insulin resistance, leading to the discovery of miRNA-based target therapies for ETPB.
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
科研通AI5应助文艺水蜜桃采纳,获得10
刚刚
刚刚
刚刚
科研通AI5应助BILNQPL采纳,获得10
1秒前
流白完成签到,获得积分10
1秒前
1秒前
Yolo完成签到,获得积分20
1秒前
YY应助胖豆采纳,获得10
2秒前
2秒前
jagger发布了新的文献求助10
2秒前
2秒前
3秒前
ChemistryZyh完成签到,获得积分10
3秒前
3秒前
3秒前
3秒前
充电宝应助朴素的士晋采纳,获得10
4秒前
4秒前
6秒前
调研昵称发布了新的文献求助10
6秒前
6秒前
6秒前
十万大山兵大大给十万大山兵大大的求助进行了留言
6秒前
6秒前
CodeCraft应助Mumu采纳,获得10
7秒前
飘逸数据线完成签到,获得积分10
7秒前
111发布了新的文献求助10
7秒前
Gauss完成签到,获得积分0
7秒前
丘奇完成签到,获得积分10
7秒前
木子发布了新的文献求助10
7秒前
标致的方盒完成签到,获得积分10
7秒前
8秒前
致橡树完成签到,获得积分20
8秒前
Yolo发布了新的文献求助10
8秒前
yyy完成签到,获得积分20
9秒前
9秒前
9秒前
yoon发布了新的文献求助10
9秒前
脑洞疼应助香蕉静芙采纳,获得10
9秒前
JTB完成签到,获得积分10
9秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527723
求助须知:如何正确求助?哪些是违规求助? 3107826
关于积分的说明 9286663
捐赠科研通 2805577
什么是DOI,文献DOI怎么找? 1539998
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709762