• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

中药抗衰老的分子网络分析与靶点挖掘

Analysis of molecular networks and targets mining of Chinese herbal medicines on anti-aging.

作者信息

Jiang Qi-Yu, Zheng Mei-Si, Yang Xiao-Jing, Sun Xiao-Sheng

机构信息

Guangzhou University of Chinese Medicine, Airport Road NO.12, Guangzhou, People's Republic of China.

出版信息

BMC Complement Altern Med. 2016 Dec 28;16(1):520. doi: 10.1186/s12906-016-1513-2.

DOI:10.1186/s12906-016-1513-2
PMID:28031022
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5198498/
Abstract

BACKGROUND

Many kidney-tonifying Chinese herbal medicines exert effects on anti-aging by comprehensive interactions of multiple targets. However, the interactions of multi-targets targeted by effective ingredients of kidney-tonifying Chinese herbal medicines are unknown. In this study, to explore the systems pharmacology mechanisms of kidney-tonifying Chinese medicines on anti-aging, we establish the molecular networks with the interactions of multi-targets, analyze bio-functions and pathways with IPA, and calculated the mutual interaction pairs of targets (target pairs) with data mining, respectively.

METHODS

Kidney-tonifying Chinese medicines with anti-aging effects were screened from the Chinese Pharmacopoeia and the literatures. Target proteins of these herbal medicines were obtained from bioinformatics databases. Comparisons of molecular networks, bio-functions and pathways given by Ingenuity Pathway Analysis system showed the similarities and the differences between kidney Yin-tonifying herbal medicines and kidney Yang-tonifying herbal medicines. Target pairs with high correlation related to anti-aging were also discovered by data mining algorithm. And regulatory networks of targets were built based on the target pairs.

RESULTS

Twenty-eight kidney-tonifying herbal medicines with anti-aging effects and 717 related target proteins were collected. The main bio-functions that all targets enriched in were "Cell Death and Survival", "Free Radical Scavenging" and "Cellular Movement", etc. The results of comparison analysis showed that kidney Yin-tonifying herbal medicines focused more on "Cancer related signaling", "Apoptosis related signaling" and "Cardiovascular related signaling". And kidney Yang-tonifying herbal medicines focused more on "Cellular stress and injury related signaling" and "Cellular growth, proliferation and development related signaling". Moreover, the results of regulatory network showed that the anti-aging related target pairs with high correlated degrees of Kidney Yin-tonifying herbal medicines included TNF-PTGS2, TNF-CASP3, PTGS2-CASP3, CASP3-NOS2 and TNF-NOS2, and that of kidney Yang-tonifying herbal medicines included REAL-TNF, REAL-NFKBIA, REAL-JUN, PTGS2-SOD1 and TNF-IL6.

CONCLUSIONS

In this study, we achieved some important targets, target pairs and regulatory networks with bioinformatics and data mining, to discuss the systems pharmacology mechanisms of kidney-tonifying herbal medicines acting on anti-aging. Mutual target pairs related to anti-aging found in this study included TNF-PTGS2, TNF-CASP3, PTGS2-CASP3, CASP3-NOS2, TNF-NOS2, REAL-TNF, REAL-NFKBIA, REAL-JUN, PTGS2-SOD1 and TNF-IL6. Target pairs and regulatory networks of targets could reflect more potential interactions between targets and comprehensive effects on anti-aging. Compared with the existing researches, it was found that the kidney-tonifying herbal medicines may exert anti-aging effects in multiple pathways in this study.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/56f69e62c2b7/12906_2016_1513_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/7b825b0608ae/12906_2016_1513_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/115af33ea07b/12906_2016_1513_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/5d52172736c0/12906_2016_1513_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/12cab4868205/12906_2016_1513_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/7e4cdd48d4f1/12906_2016_1513_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/6675409a30c5/12906_2016_1513_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/14b15152d75c/12906_2016_1513_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/c85169302dc4/12906_2016_1513_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/7d964ea457ff/12906_2016_1513_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/56f69e62c2b7/12906_2016_1513_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/7b825b0608ae/12906_2016_1513_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/115af33ea07b/12906_2016_1513_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/5d52172736c0/12906_2016_1513_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/12cab4868205/12906_2016_1513_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/7e4cdd48d4f1/12906_2016_1513_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/6675409a30c5/12906_2016_1513_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/14b15152d75c/12906_2016_1513_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/c85169302dc4/12906_2016_1513_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/7d964ea457ff/12906_2016_1513_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5563/5198498/56f69e62c2b7/12906_2016_1513_Fig10_HTML.jpg
摘要

背景

许多补肾中药通过多个靶点的综合相互作用发挥抗衰老作用。然而，补肾中药有效成分所作用的多靶点之间的相互作用尚不清楚。在本研究中，为探讨补肾中药抗衰老的系统药理学机制，我们建立了多靶点相互作用的分子网络，运用IPA分析生物功能和通路，并通过数据挖掘计算靶点的相互作用对（靶点对）。

方法

从《中国药典》和文献中筛选出具有抗衰老作用的补肾中药。这些中药的靶蛋白从生物信息学数据库中获取。通过Ingenuity Pathway Analysis系统对分子网络、生物功能和通路进行比较，显示了补肾阴中药和补肾阳中药之间的异同。还通过数据挖掘算法发现了与抗衰老高度相关的靶点对。并基于靶点对构建了靶点调控网络。

结果

收集到28种具有抗衰老作用的补肾中药和717个相关靶蛋白。所有靶点富集的主要生物功能有“细胞死亡与存活”“自由基清除”和“细胞运动”等。比较分析结果表明，补肾阴中药更侧重于“癌症相关信号通路”“凋亡相关信号通路”和“心血管相关信号通路”。而补肾阳中药更侧重于“细胞应激和损伤相关信号通路”以及“细胞生长、增殖和发育相关信号通路”。此外，调控网络结果显示，补肾阴中药中与抗衰老相关且关联度较高的靶点对包括TNF-PTGS2、TNF-CASP3、PTGS2-CASP3、CASP3-NOS2和TNF-NOS2，补肾阳中药的则包括REAL-TNF、REAL-NFKBIA、REAL-JUN、PTGS2-SOD1和TNF-IL6。

结论

在本研究中，我们通过生物信息学和数据挖掘获得了一些重要的靶点、靶点对和调控网络，以探讨补肾中药抗衰老的系统药理学机制。本研究发现的与抗衰老相关的相互作用靶点对包括TNF-PTGS2、TNF-CASP3、PTGS2-CASP3、CASP3-NOS2、TNF-NOS2、REAL-TNF、REAL-NFKBIA、REAL-JUN、PTGS2-SOD1和TNF-IL6。靶点对和靶点调控网络能够反映靶点之间更多潜在的相互作用以及对抗衰老的综合作用。与现有研究相比，本研究发现补肾中药可能通过多种途径发挥抗衰老作用。

相似文献

1
Analysis of molecular networks and targets mining of Chinese herbal medicines on anti-aging.中药抗衰老的分子网络分析与靶点挖掘
BMC Complement Altern Med. 2016 Dec 28;16(1):520. doi: 10.1186/s12906-016-1513-2.
2
The Network Pharmacology Analysis of Tonifying Yang Formula for the Treatment of Diminished Ovarian Reserve.基于网络药理学探讨温阳方治疗卵巢储备功能减退的作用机制。
Altern Ther Health Med. 2024 Mar;30(3):176-184.
3
Molecular network-based analysis of guizhi-shaoyao-zhimu decoction, a TCM herbal formula, for treatment of diabetic peripheral neuropathy.基于分子网络的中药方剂桂枝芍药知母汤治疗糖尿病周围神经病变的分析
Acta Pharmacol Sin. 2015 Jun;36(6):716-23. doi: 10.1038/aps.2015.15. Epub 2015 Apr 27.
4
Molecular network and chemical fragment-based characteristics of medicinal herbs with cold and hot properties from Chinese medicine.具有寒、热药性的中草药的分子网络和化学片段特征。
J Ethnopharmacol. 2013 Jul 30;148(3):770-9. doi: 10.1016/j.jep.2013.04.055. Epub 2013 May 20.
5
Deciphering the multicomponent synergy mechanisms of SiNiSan prescription on irritable bowel syndrome using a bioinformatics/network topology based strategy.基于生物信息学/网络拓扑策略破译思连康方治疗肠易激综合征的多成分协同作用机制。
Phytomedicine. 2019 Oct;63:152982. doi: 10.1016/j.phymed.2019.152982. Epub 2019 Jun 4.
6
Study on the multi-targets mechanism of triphala on cardio-cerebral vascular diseases based on network pharmacology.基于网络药理学的三果汤治疗心脑血管疾病多靶点机制研究。
Biomed Pharmacother. 2019 Aug;116:108994. doi: 10.1016/j.biopha.2019.108994. Epub 2019 May 18.
7
Modular Characteristics and Mechanism of Action of Herbs for Endometriosis Treatment in Chinese Medicine: A Data Mining and Network Pharmacology-Based Identification.基于数据挖掘与网络药理学的中医治疗子宫内膜异位症用药的模块化特征及作用机制研究
Front Pharmacol. 2020 Mar 6;11:147. doi: 10.3389/fphar.2020.00147. eCollection 2020.
8
Network Pharmacology-Based Study on the Molecular Biological Mechanism of Action for Compound Kushen Injection in Anti-Cancer Effect.基于网络药理学的复方苦参注射液抗肿瘤作用的分子生物学机制研究。
Med Sci Monit. 2020 Jan 1;26:e918520. doi: 10.12659/MSM.918520.
9
Systems pharmacological study illustrates the immune regulation, anti-infection, anti-inflammation, and multi-organ protection mechanism of Qing-Fei-Pai-Du decoction in the treatment of COVID-19.系统药理学研究阐明了清肺排毒汤治疗 COVID-19 的免疫调节、抗感染、抗炎和多器官保护作用机制。
Phytomedicine. 2021 May;85:153315. doi: 10.1016/j.phymed.2020.153315. Epub 2020 Sep 9.
10
A network pharmacology approach to investigate the mechanism of Shuxuening injection in the treatment of ischemic stroke.基于网络药理学方法探讨舒血宁注射液治疗缺血性脑卒中的作用机制。
J Ethnopharmacol. 2020 Jul 15;257:112891. doi: 10.1016/j.jep.2020.112891. Epub 2020 Apr 18.

引用本文的文献

1
Integrating strategies of metabolomics, network pharmacology, and experiment validation to investigate the processing mechanism of Epimedium fried with suet oil to warm kidney and enhance yang.整合代谢组学、网络药理学和实验验证策略以探究羊脂油炙淫羊藿温肾壮阳的炮制机制。
Front Pharmacol. 2023 Jan 25;14:1113213. doi: 10.3389/fphar.2023.1113213. eCollection 2023.
2
Essential Oil Phytocomplex Activity, a Review with a Focus on Multivariate Analysis for a Network Pharmacology-Informed Phytogenomic Approach.精油植物复合物活性：基于网络药理学的植物基因组学方法的多元分析综述
Molecules. 2020 Apr 16;25(8):1833. doi: 10.3390/molecules25081833.

本文引用的文献

1
Mechanisms of Heshouwuyin in regulating apoptosis of testicular cells in aging rats through mitochondrial pathway.何首乌饮通过线粒体途径调控衰老大鼠睾丸细胞凋亡的机制
BMC Complement Altern Med. 2016 Sep 1;16(1):337. doi: 10.1186/s12906-016-1323-6.
2
Herba Cistanche (Rou Cong-Rong): One of the Best Pharmaceutical Gifts of Traditional Chinese Medicine.肉苁蓉：中药最出色的馈赠之一。
Front Pharmacol. 2016 Mar 1;7:41. doi: 10.3389/fphar.2016.00041. eCollection 2016.
3
Origin and evolution of China Pharmacopoeia and its implication for traditional medicines.
《中国药典》的起源与发展及其对传统医学的启示
Mini Rev Med Chem. 2015;15(7):595-603. doi: 10.2174/1389557515666150415150803.
4
Knowledge retrieval from PubMed abstracts and electronic medical records with the Multiple Sclerosis Ontology.利用多发性硬化症本体从PubMed摘要和电子病历中检索知识。
PLoS One. 2015 Feb 9;10(2):e0116718. doi: 10.1371/journal.pone.0116718. eCollection 2015.
5
Heshouwu decoction, a Chinese herb for tonifying kidney, ameliorates hypothalamic-pituitary- testicular axis secretion in aging rats.何首乌汤，一种补肾的中药，可改善衰老大鼠下丘脑-垂体-睾丸轴的分泌。
Neural Regen Res. 2012 Jul 25;7(21):1611-7. doi: 10.3969/j.issn.1673-5374.2012.21.002.
6
An evidence-based update on the pharmacological activities and possible molecular targets of Lycium barbarum polysaccharides.枸杞多糖药理活性及潜在分子靶点的循证更新
Drug Des Devel Ther. 2014 Dec 17;9:33-78. doi: 10.2147/DDDT.S72892. eCollection 2015.
7
Inflammatory stimuli induce inhibitory S-nitrosylation of the deacetylase SIRT1 to increase acetylation and activation of p53 and p65.炎症刺激诱导去乙酰化酶SIRT1的抑制性S-亚硝基化，以增加p53和p65的乙酰化及激活。
Sci Signal. 2014 Nov 11;7(351):ra106. doi: 10.1126/scisignal.2005375.
8
Causal analysis approaches in Ingenuity Pathway Analysis.Ingenuity 通路分析中的因果分析方法。
Bioinformatics. 2014 Feb 15;30(4):523-30. doi: 10.1093/bioinformatics/btt703. Epub 2013 Dec 13.
9
Icaritin attenuates cigarette smoke-mediated oxidative stress in human lung epithelial cells via activation of PI3K-AKT and Nrf2 signaling.二氢杨梅素通过激活 PI3K-AKT 和 Nrf2 信号通路减轻香烟烟雾介导的人肺上皮细胞氧化应激。
Food Chem Toxicol. 2014 Feb;64:307-13. doi: 10.1016/j.fct.2013.12.006. Epub 2013 Dec 8.
10
SIRT6 regulates TNF-α secretion through hydrolysis of long-chain fatty acyl lysine.SIRT6 通过水解长链脂肪酸酰基辅酶 A 的赖氨酸来调节 TNF-α 的分泌。
Nature. 2013 Apr 4;496(7443):110-3. doi: 10.1038/nature12038.