Exploring of Antidepressant Components and Mechanisms of Zhizichi Decoction: Integration of Serum Pharmacochemistry, Network Pharmacology and Anti-inflammatory Analysis Verification

IF 3 Q2 CHEMISTRY, ANALYTICAL
Chuan Chai, Bo Jin, Jinghan Bi, Yuhan Cui, Xiaobing Cui, Chenxiao Shan, Sheng Yu, Hongmei Wen
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Abstract

Using LC–MS to screen and analyse the characteristics of components and biological systems is a new approach to study the pharmacological substance basis of traditional Chinese medicine, which has strong novelty in analytical science. This study analyses the antidepressant material basis of Zhizichi decoction through the integration strategy of serum pharmacochemistry, network pharmacology and immunoreactivity verification, which helps in overcoming the limitations of TCM research and provided a new perspective and approach for studying the components of ZZCD. First of all, blood from SD rats was collected before and after Zhizichi decoction administration initially. The migration constituents in the serum were then analysed using ultra-high performance liquid chromatography-Q-TOF-MS/MS. By integrating the TCMSP databases with the serum pharmacochemistry results, we constructed the ‘ingredients–targets–pathways’ network and the protein–protein interaction network for Zhizichi decoction's depression-relieving. Finally, the inhibitory effects of Zhizichi decoction and active ingredient groups comprised of pharmacodynamic components identified in prior network pharmacology study on IL-1β, IL-6 and TNF-α were measured through an inflammatory cytokines experiments. From the serum pharmacochemistry study, 146 migration constituents in serum and their attribution were hypothesized and characterized. They were identified as 18 prototype components and 128 metabolites, of which 121 were Phase I and 7 were Phase II metabolites. The Zhizichi decoction pharmacology network illustrated the relationships of the 20 definitive ingredients, 85 potential targets and 21 signalling pathways in connection with the depression. The targets predicted by pharmacology and protein–protein interaction network were reported to be associated with neuroinflammation, which suggested that further anti-inflammatory experiment was required. For the anti-inflammatory effect of AIGs 1 composed of 14 pharmacodynamic components was basically equivalent to that of whole ZZCD recipe, AIG 1 was hypothesized to be the critical pharmacodynamic components to inhibit inflammatory factors and defined as the antidepressant components’ of Zhizichi decoction, providing a scientific foundation for the pursuit of potential new drugs for depression treatments.

Abstract Image

枳椇汤抗抑郁成分及机制探讨:血清药物化学、网络药理学与抗炎分析验证相结合
利用LC-MS筛选和分析中药成分及生物体系的特性是研究中药药理物质基础的一种新方法,在分析科学中具有较强的新颖性。本研究通过血清药物化学、网络药理学和免疫反应性验证相结合的策略分析栀栀汤抗抑郁物质基础,有助于克服中医药研究的局限性,为研究栀栀汤的成分提供新的视角和途径。首先,采集SD大鼠初始给药前后的血液。然后使用超高高效液相色谱- q - tof -MS/MS分析血清中的迁移成分。将TCMSP数据库与血清药物化学结果相结合,构建枳实汤抗抑郁作用的“成分-靶点-通路”网络和蛋白-蛋白相互作用网络。最后,通过炎症细胞因子实验,检测栀栀汤及先前网络药理学研究中确定的药效学成分组成的有效成分组对IL-1β、IL-6和TNF-α的抑制作用。通过血清药物化学研究,对血清中146种迁移成分及其归因进行了假设和表征。鉴定出18种原型成分和128种代谢物,其中121种为I期代谢物,7种为II期代谢物。枳椇子汤药理学网络阐明了与抑郁症相关的20种确定成分、85种潜在靶点和21种信号通路的关系。药理学和蛋白-蛋白相互作用网络预测的靶点与神经炎症有关,提示需要进一步的抗炎实验。由于由14种药效学成分组成的AIG 1抗炎作用与整方ZZCD基本相当,因此我们假设AIG 1是抑制炎症因子的关键药效学成分,并将其定义为止子池汤的抗抑郁成分,为寻找潜在的抑郁症治疗新药提供了科学依据。
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