Jiang Qi-Yu, Zheng Mei-Si, Yang Xiao-Jing, Sun Xiao-Sheng
Guangzhou University of Chinese Medicine, Airport Road NO.12, Guangzhou, People's Republic of China.
BMC Complement Altern Med. 2016 Dec 28;16(1):520. doi: 10.1186/s12906-016-1513-2.
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.
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.
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.
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.
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)。
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。
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。
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。