A combined network pharmacology and molecular biology approach to investigate the potential mechanisms of G-M6 on ovarian cancer

卵巢癌 吉西他滨 化学 药理学 紫杉醇 作用机理 癌症 癌症研究 医学 内科学 生物化学 体外
作者
Meng Ding,Cuifang Dong,Yufeng Mao,Shuheng Liu,Yuqing Zhao,Xude Wang
出处
期刊:Bioorganic Chemistry [Elsevier BV]
卷期号:138: 106657-106657 被引量:4
标识
DOI:10.1016/j.bioorg.2023.106657
摘要

Ginsenoside 3β,12β,21α,22β-Hydroxy-24-norolean-12-ene (G-M6), a phase I metabolite of anti-tumor medication 20(R)-25-methoxyl-dammarane-3β,12β,20-triol (AD-1), beats the parent drug in anti-ovarian cancer efficacy. The mechanism of action for ovarian cancer, however, is uncertain. Using network pharmacology, human ovarian cancer cells and nude mouse ovarian cancer xenotransplantation model, the anti-ovarian cancer mechanism of G-M6 was preliminarily explored in this study. The PPAR signal pathway is the key signal pathway of the G-M6 anti-ovarian cancer mechanism, according to data mining and network analysis. Docking tests demonstrated that the bioactive chemical G-M6 was capable of forming a stable bond with the PPARγ target protein capsule. Using human ovarian cancer cells and xenograft model of ovarian cancer to evaluate the anticancer activity of G-M6. The IC50 value of G-M6 was 5.83±0.36, lower than AD-1 and Gemcitabine. The tumor weight of the RSG 80 mg/kg group (C), G-M6 80 mg/kg group (I), and RSG 80 mg/kg + G-M6 80 mg/kg group (J) after the intervention was as follows: C < I < J. The tumor inhibition rates of groups C, I, and J were 28.6%, 88.7%, and 92.6%, respectively. When RSG and G-M6 are combined to treat ovarian cancer, q = 1.00 is calculated according to King's formula, which indicates that RSG and G-M6 have additive effects. Its molecular mechanism may involve the up-regulation of PPARγ and Bcl-2 protein expressions, and the down-regulation of Bax, Cytochrome C (Cyt. C), Caspase-3, and Caspase-9 protein expressions. These findings serve as a reference for further research into the processes behind ginsenoside G-M6′s ovarian cancer therapy.
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
忐忑的火发布了新的文献求助10
刚刚
1秒前
欣慰的妙菱完成签到,获得积分10
1秒前
wanci应助甜甜觅松采纳,获得10
1秒前
小芦铃发布了新的文献求助10
2秒前
2秒前
小雯钱来发布了新的文献求助10
2秒前
3秒前
FQma123发布了新的文献求助10
4秒前
4秒前
洋洋完成签到,获得积分20
4秒前
汉堡包应助yg采纳,获得10
4秒前
Mei关注了科研通微信公众号
5秒前
hhhh111完成签到,获得积分10
6秒前
卡比兽完成签到,获得积分10
6秒前
7秒前
7秒前
7秒前
量子星尘发布了新的文献求助10
7秒前
8秒前
8秒前
亿万斯年应助芝士牛堡采纳,获得10
8秒前
8秒前
可爱的函函应助wu采纳,获得10
8秒前
文献完成签到 ,获得积分10
8秒前
9秒前
卡比兽发布了新的文献求助10
9秒前
王治清完成签到 ,获得积分10
9秒前
lulu发布了新的文献求助10
9秒前
Icebear完成签到,获得积分10
10秒前
薛妖怪完成签到,获得积分10
10秒前
王晨旭发布了新的文献求助10
11秒前
CodeCraft应助可靠的马里奥采纳,获得10
11秒前
11秒前
12秒前
NexusExplorer应助jiangzong采纳,获得10
13秒前
13秒前
坚强听兰发布了新的文献求助20
14秒前
dongfang发布了新的文献求助30
14秒前
64658应助冷冷采纳,获得10
15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
Zeolites: From Fundamentals to Emerging Applications 1500
Encyclopedia of Materials: Plastics and Polymers 1000
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
Hidden Generalizations Phonological Opacity in Optimality Theory 1000
Handbook of Social and Emotional Learning, Second Edition 900
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4921870
求助须知:如何正确求助?哪些是违规求助? 4192846
关于积分的说明 13023419
捐赠科研通 3964423
什么是DOI,文献DOI怎么找? 2172981
邀请新用户注册赠送积分活动 1190624
关于科研通互助平台的介绍 1099807