Deciphering the underlying wound healing mechanisms of Streptocaulon juventas (Lour.) Merr. by integrating network pharmacology, transcriptomics, and experimental validation

伤口愈合 PI3K/AKT/mTOR通路 MAPK/ERK通路 药理学 蛋白激酶B 体内 羟脯氨酸 p38丝裂原活化蛋白激酶 医学 信号转导 生物 细胞生物学 外科 内科学 生物技术
作者
Yang Li,Jie Zang,Xuemei Wang,Xinchi Feng,Feng Qiu
出处
期刊:Journal of Ethnopharmacology [Elsevier BV]
卷期号:302 (Pt A): 115890-115890 被引量:6
标识
DOI:10.1016/j.jep.2022.115890
摘要

Streptocaulon juventas (Lour.) Merr. (SJ), a traditional Chinese folk medicine, has been widely used for the treatment of dysentery and traumatic injuries since ancient times. However, the mechanisms underlying its wound healing activity remain unclear.The aim of this study was to evaluate the wound healing activity of SJ and clarify the underlying molecular mechanisms.The wound healing activity of an ethanol extract of SJ (ESJ) was confirmed in rat full-thickness wound models. UPLC-Q-TOF-MS/MS was used to analyze the composition of ESJ. Potential molecular targets and signaling pathways involved in the wound healing activity of ESJ were predicted using network pharmacology and transcriptomic analyses. In addition, the L929 cells were used to evaluate the in vitro wound healing activity of ESJ and to verify the predicted pathways.In rat wound models, ESJ significantly accelerated wound healing and promoted hydroxyproline production in wounds. Network pharmacology and transcriptomic analyses results revealed that ESJ might promote wound healing by activating the AKT and MAPK pathways. In L929 cells, ESJ significantly promoted cell proliferation, migration, and expression of collagen I and α-SMA. Additionally, ESJ treatment increased the phosphorylation of AKT, mTOR, ERK, and p38 in a time- and dose-dependent manner.ESJ significantly promoted wound healing in vivo and in vitro. AKT-mTOR and ERK-p38 signaling pathways were involved in the wound healing activity of ESJ.
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
李健应助勤奋的雪曼采纳,获得10
1秒前
水123发布了新的文献求助10
2秒前
2秒前
3秒前
kejinyang完成签到,获得积分10
5秒前
6秒前
xxx发布了新的文献求助30
7秒前
Firsterchao发布了新的文献求助10
7秒前
循环发布了新的文献求助10
8秒前
8秒前
充电宝应助渔婆采纳,获得10
8秒前
9秒前
9秒前
9秒前
9秒前
木槐完成签到,获得积分10
10秒前
3152发布了新的文献求助10
10秒前
噼噼啪啪完成签到,获得积分10
11秒前
YeBL完成签到,获得积分10
12秒前
呼啦啦发布了新的文献求助10
13秒前
ghostR应助duoCGA采纳,获得10
13秒前
落落完成签到,获得积分10
14秒前
hihihihihi发布了新的文献求助10
14秒前
rong发布了新的文献求助10
15秒前
15秒前
18秒前
呼啦啦完成签到,获得积分10
18秒前
21秒前
22秒前
22秒前
大模型应助科研通管家采纳,获得10
22秒前
循环完成签到,获得积分10
22秒前
斯文的斌应助科研通管家采纳,获得10
22秒前
科研通AI2S应助科研通管家采纳,获得10
23秒前
斯文的斌应助科研通管家采纳,获得10
23秒前
斯文的斌应助科研通管家采纳,获得10
23秒前
NexusExplorer应助科研通管家采纳,获得30
23秒前
23秒前
24秒前
大乐子发布了新的文献求助10
24秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Matrix Methods in Data Mining and Pattern Recognition 510
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 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 7242616
求助须知:如何正确求助?哪些是违规求助? 8867127
关于积分的说明 18704956
捐赠科研通 6916285
什么是DOI,文献DOI怎么找? 3196318
关于科研通互助平台的介绍 2369600
邀请新用户注册赠送积分活动 2170962