Network pharmacology and molecular docking-based insights into the anti-glomerulonephritis potential of Calendula officinalis.

作者
Eda Sönmez Gürer,Sevgi Durna Daştan
出处
期刊:PubMed [National Institutes of Health]
卷期号:38 (6): 2474-2492
标识
DOI:10.36721/pjps.2025.38.6.reg.14742.1
摘要

Glomerulonephritis (GN) is a kidney disorder characterized by inflammation of the glomeruli. This study aims to explore the potential therapeutic mechanisms of C. officinalis in the treatment of GN through network pharmacology and molecular docking analysis. The active ingredients of the plant were obtained from the intersections of articles and databases. The GN targets were obtained from the GeneCards database. The STRING database was used to construct a PPI network obtained from the intersection of target and disease. Functional enrichment analysis was performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) to examine the biological significance of disease and plant active ingredient targets. Quercetin, isorhamnetin and kaempferol were identified as key compounds, while TNF, AKT1 and SRC emerged as central targets in the PPI network. GO and KEGG analyses revealed that C. officinalis may exert its effects through processes on important signaling pathways including PI3K-Akt and EGFR tyrosine kinase inhibitor resistance. Molecular docking results provided important affinities between the main compounds and the core proteins. This study provides a preliminary scientific foundation for future investigations into the molecular mechanisms by which C. officinalis may contribute to the treatment of glomerulonephritis.

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
ijn完成签到,获得积分10
刚刚
3秒前
爆米花的应助被冻干粉采纳,获得10
3秒前
lobster发布了新的文献求助10
3秒前
ijn发布了新的文献求助10
3秒前
leilei完成签到 ,获得积分10
3秒前
陶喆发布了新的文献求助10
3秒前
3秒前
泡芙小姐发布了新的文献求助10
4秒前
Ali的应助被yxy采纳,获得10
5秒前
zkx发布了新的文献求助10
6秒前
很困的白米饭完成签到 ,获得积分10
6秒前
7秒前
7秒前
7秒前
MMM完成签到,获得积分10
7秒前
天天开心发布了新的文献求助10
8秒前
YuGe完成签到,获得积分10
8秒前
9秒前
852的应助被仁爱的狗采纳,获得10
9秒前
溪影发布了新的文献求助10
9秒前
烟花的应助被midas采纳,获得10
10秒前
搜集达人的应助被lobster采纳,获得10
10秒前
程佳运发布了新的文献求助10
12秒前
嗯嗯发布了新的文献求助10
13秒前
渡人舟的应助被大胆的吐司采纳,获得10
13秒前
14秒前
15秒前
JamesPei的应助被关月明采纳,获得10
16秒前
李健的小迷弟的应助被LHH采纳,获得10
18秒前
irenechen完成签到,获得积分10
18秒前
Alvienan完成签到 ,获得积分10
19秒前
搞科研的Qq完成签到 ,获得积分10
20秒前
秋风的应助被晚晚采纳,获得10
20秒前
20秒前
21秒前
bajiu发布了新的文献求助10
21秒前
在水一方的应助被NJK采纳,获得10
21秒前
Nole的应助被cwp采纳,获得10
21秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
Encyclopedia of Geology 2nd Edition 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7805083
求助须知:如何正确求助?哪些是违规求助? 9338699
关于积分的说明 20492662
捐赠科研通 7397050
什么是DOI,文献DOI怎么找? 3327659
关于科研通互助平台的介绍 2474536
邀请新用户注册赠送积分活动 2345780