Potential anti-liver cancer targets and mechanisms of kaempferitrin based on network pharmacology, molecular docking and experimental verification

药物数据库 计算生物学 小桶 肝癌 对接(动物) 生物信息学 生物 交互网络 癌症 癌症研究 基因 药理学 生物化学 转录组 基因表达 医学 遗传学 护理部 药品
作者
Siyu Zhou,Huidong Zhang,Jiao Li,Wei Li,Min Su,Yao Ren,F. J. Ge,Hong Zhang,Hongli Shang
出处
期刊:Computers in Biology and Medicine [Elsevier]
卷期号:178: 108693-108693 被引量:16
标识
DOI:10.1016/j.compbiomed.2024.108693
摘要

Kaempferitrin is an active component in Chenopodium ambrosioides, showing medicinal functions against liver cancer. This study aimed to identify the potential targets and pathways of kaempferitrin against liver cancer using network pharmacology and molecular docking, and verify the essential hub targets and pathway in mice model of SMMC-7721 cells xenografted tumors and SMMC-7721 cells. Kaempferitrin therapeutical targets were obtained by searching SwissTargetPrediction, PharmMapper, STITCH, DrugBank, and TTD databases. Liver cancer specific genes were obtained by searching GeneCards, DrugBank, TTD, OMIM, and DisGeNET databases. PPI network of "kaempferitrin-targets-liver cancer" was constructed to screen the hub targets. GO, KEGG pathway and MCODE clustering analyses were performed to identify possible enrichment of genes with specific biological subjects. Molecular docking and molecular dynamics simulation were employed to determine the docking pose, potential and stability of kaempferitrin with hub targets. The potential anti-liver cancer mechanisms of kaempferitrin, as predicted by network pharmacology analyses, were verified by in vitro and in vivo experiments. 228 kaempferitrin targets and 2186 liver cancer specific targets were identified, of which 50 targets were overlapped. 8 hub targets were identified through network topology analysis, and only SIRT1 and TP53 had a potent binding activity with kaempferitrin as indicated by molecular docking and molecular dynamics simulation. MCODE clustering analysis revealed the most significant functional module of PPI network including SIRT1 and TP53 was mainly related to cell apoptosis. GO and KEGG enrichment analyses suggested that kaempferitrin exerted therapeutic effects on liver cancer possibly by promoting apoptosis via p21/Bcl-2/Caspase 3 signaling pathway, which were confirmed by in vivo and in vitro experiments, such as HE staining of tumor tissues, CCK-8, qRT-PCR and western blot. This study provided not only insight into how kaempferitrin could act against liver cancer by identifying hub targets and their associated signaling pathways, but also experimental evidence for the clinical use of kaempferitrin in liver cancer treatment.
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
可爱的香菇完成签到 ,获得积分10
刚刚
相忘江湖的小余完成签到,获得积分10
刚刚
科研同路人完成签到,获得积分0
1秒前
灵巧水蓝完成签到 ,获得积分10
2秒前
勤劳尔容完成签到,获得积分20
2秒前
落尘完成签到,获得积分10
2秒前
3秒前
3秒前
橙酒完成签到,获得积分10
3秒前
寒酥完成签到,获得积分10
4秒前
翰飞寰宇完成签到,获得积分10
4秒前
朱子完成签到,获得积分10
5秒前
YCH_mem发布了新的文献求助30
5秒前
山间风完成签到,获得积分10
5秒前
刘春霖完成签到 ,获得积分10
6秒前
daixan89完成签到 ,获得积分10
7秒前
7秒前
寯齆完成签到,获得积分10
7秒前
innovation266完成签到,获得积分10
7秒前
8秒前
嗨喽完成签到,获得积分10
8秒前
活泼蜡烛完成签到,获得积分10
8秒前
叶落孤城完成签到,获得积分10
8秒前
woshiwuziq完成签到 ,获得积分10
8秒前
沐沐汐完成签到 ,获得积分10
9秒前
Akim应助文献狂人采纳,获得10
9秒前
YeMa发布了新的文献求助10
10秒前
shea发布了新的文献求助10
10秒前
自觉一曲发布了新的文献求助10
11秒前
11秒前
慕青应助lling采纳,获得10
11秒前
foxbt完成签到,获得积分10
11秒前
12秒前
夏秀鑫完成签到,获得积分10
12秒前
123完成签到,获得积分10
12秒前
奋斗的大白菜完成签到,获得积分10
13秒前
熊儒恒完成签到,获得积分10
13秒前
13秒前
白江虎发布了新的文献求助10
14秒前
笑点低的凉面完成签到,获得积分10
14秒前
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
Iron toxicity and hematopoietic cell transplantation: do we understand why iron affects transplant outcome? 2000
List of 1,091 Public Pension Profiles by Region 1021
Teacher Wellbeing: Noticing, Nurturing, Sustaining, and Flourishing in Schools 1000
A Technologist’s Guide to Performing Sleep Studies 500
EEG in Childhood Epilepsy: Initial Presentation & Long-Term Follow-Up 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5482803
求助须知:如何正确求助?哪些是违规求助? 4583511
关于积分的说明 14390213
捐赠科研通 4512809
什么是DOI,文献DOI怎么找? 2473255
邀请新用户注册赠送积分活动 1459255
关于科研通互助平台的介绍 1432883