To Explore the Rule and Mechanism of Traditional Chinese Medicine in the Treatment of Postmenopausal Osteoporosis Based on Data Mining, Network Pharmacology and Molecular Docking Technology

中医药 骨质疏松症 机制(生物学) 药理学 医学 绝经后妇女 数据挖掘 传统医学 替代医学 计算生物学 计算机科学 内科学 生物 物理 病理 量子力学
作者
Hao Zeng,Keqi Huang,Yuan Chai,Hua Liu,Yongjin Li,Zhengpeng Li,Xiaoyun Zhang
出处
期刊:Natural Product Communications [SAGE Publishing]
卷期号:19 (9)
标识
DOI:10.1177/1934578x241281303
摘要

Postmenopausal osteoporosis (PMOP) is an important part of primary osteoporosis, and the current clinical treatment program for PMOP is easily limited by side effects and adverse reactions, so it is particularly important to seek more efficient, safe, and economical drug treatment for PMOP. In recent years, with the change of disease treatment mode and the gradual deepening of Traditional Chinese medicine (TCM) research on PMOP, a review of the literature reveals that there is a huge number of studies on the use of TCM in the treatment of PMOP, but there are no relevant systematic studies on the rules of its formulas and the specific mechanisms by which the core drugs exert their therapeutic effects. Therefore, in this study, we collected a total of 141 formulas used by TCM clinicians to treat PMOP, statistically analyzed their high-frequency medications, Four Qi, Five Flavors, meridians, and efficacies, and analyzed the core medications based on the association rules, which were Rehmanniae Radix Praeparata, Epimedium, Eucommia ulmoides, Rhizoma Drynariae, Angelica sinensis, Achyranthes, Astragalus propinquus, Psoralen, Cornus officinalis and licorice. A total of 87 drug pairs were obtained from the correlation analysis, and a total of 8 groups of potential core combination drugs and 4 potential new prescriptions were derived based on the cluster analysis. Subsequently, a network pharmacological analysis of the core drugs was conducted to obtain 173 active ingredients in the core drugs, including kaempferol, β-sitosterol, quercetin, etc. 298 targets of action, including MAPK3, STAT1, HSP90AA1, etc. 170 signaling pathways including AGE-RAGE, PI3 K/Akt, TNF, HIF-1 and others. The molecular docking results showed that 11 key active ingredients in the core drugs had stable binding to the target targets. This study showed that TCM treatment of PMOP is mainly based on “reinforcing liver and kidney, warmly invigorating spleen and stomach, activating blood and resolving stasis.” Core drugs therapy for PMOP is a comprehensive intervention through multi-component, multi-target, and multi-pathway approaches. The minimum binding energies between the 11 key active ingredients and the 11 key targets were calculated in a comprehensive analysis, which shows that the core drugs have good binding activities to their therapeutic targets, proving that the predictions of this study are reliable. In the future, it will provide certain medication basis and data support for TCM treatment of PMOP.
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
潇潇发布了新的文献求助10
刚刚
西西里发布了新的文献求助10
刚刚
刚刚
刚刚
1秒前
Nikkie2411发布了新的文献求助10
1秒前
lwwlccc完成签到,获得积分10
1秒前
sangxuet完成签到,获得积分10
1秒前
2秒前
2秒前
小二郎应助刘文静采纳,获得10
2秒前
alooof发布了新的文献求助30
3秒前
3秒前
qc应助科研通管家采纳,获得10
3秒前
李爱国应助科研通管家采纳,获得10
3秒前
3秒前
汉堡包应助科研通管家采纳,获得10
3秒前
酷波er应助科研通管家采纳,获得30
3秒前
Ava应助科研通管家采纳,获得10
4秒前
QOP应助科研通管家采纳,获得20
4秒前
搜集达人应助科研通管家采纳,获得10
4秒前
sx应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
Lucas应助科研通管家采纳,获得10
4秒前
wop111应助科研通管家采纳,获得30
4秒前
Owen应助科研通管家采纳,获得10
4秒前
4秒前
乐乐应助科研通管家采纳,获得10
4秒前
科研通AI6应助科研通管家采纳,获得10
4秒前
李爱国应助科研通管家采纳,获得10
4秒前
爆米花应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
4秒前
4秒前
思源应助科研通管家采纳,获得10
4秒前
4秒前
KK发布了新的文献求助10
5秒前
5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
SOFT MATTER SERIES Volume 22 Soft Matter in Foods 1000
Zur lokalen Geoidbestimmung aus terrestrischen Messungen vertikaler Schweregradienten 1000
Storie e culture della televisione 500
Selected research on camelid physiology and nutrition 500
《2023南京市住宿行业发展报告》 500
Architectural Corrosion and Critical Infrastructure 400
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 4886106
求助须知:如何正确求助?哪些是违规求助? 4171049
关于积分的说明 12943453
捐赠科研通 3931585
什么是DOI,文献DOI怎么找? 2157136
邀请新用户注册赠送积分活动 1175544
关于科研通互助平台的介绍 1080109