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基于网络药理学和数据挖掘对新型冠状病毒肺炎继发肺纤维化的分子机制及高频核心中药进行研究

Investigation into molecular mechanisms and high-frequency core TCM for pulmonary fibrosis secondary to COVID-19 based on network pharmacology and data mining.

作者信息

Yu Mei-Xiang, Song Xin, Ma Xiao-Qin, Hao Chen-Xia, Huang Jing-Jing, Yang Wan-Hua

机构信息

Department of Pharmacy, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

出版信息

Ann Palliat Med. 2021 Apr;10(4):3960-3975. doi: 10.21037/apm-20-1384. Epub 2021 Apr 1.

DOI:10.21037/apm-20-1384
PMID:33832291
Abstract

BACKGROUND

The complication, pulmonary fibrosis (PF) secondary to COVID-19, may have a second wave of late mortality, given the huge number of individuals infected by COVID-19. However, the molecular mechanisms of PF secondary to COVID-19 haven't been fully elucidated, making the identification of novel strategies for targeted therapy challenging. This study aimed to systematically identify the molecular mechanisms and high-frequency core traditional Chinese medicine (TCM) targeting PF secondary to COVID-19 through network pharmacology and data mining.

METHODS

The molecular mechanisms of PF secondary to COVID-19 were identified by mapping the COVID-19 differentially expressed gene and known targets associated with PF, protein-protein interactions network analysis, and enrichment pathway analysis; then the high-frequency core TCM targeting PF secondary to COVID-19 were identified by data mining and "Key targets related to PF secondary to COVID-19 - Ingredients" and "Key ingredients-key herbs" network analysis; and last we validated the interaction between the key ingredients and key targets by molecular docking.

RESULTS

The molecular mechanisms of PF secondary to COVID-19 were mainly related to tumor necrosis factor (TNF) signaling pathway, cytokine-cytokine receptor interaction pathway, and NF-κB signaling pathway. Among these, cytokines interleukin 6 (IL-6), TNF, and IL-1β were identified as the key targets associated with PF secondary to COVID-19. The high-frequency core TCM targeting these key targets were identified, including ingredients of quercetin, epigallocatechin-3-gallate, emodin, triptolide, resveratrol, and herb of Polygonum cuspidatum. Finally, our results were validated by quercetin and resveratrol both well docked to IL-6, TNF, and IL-1β protein, with the estimated docking energy <0 kcal/mol.

CONCLUSIONS

This study identified the cytokines-related molecular mechanisms of PF secondary to COVID-19, and the high-frequency core TCM against PF by targeting IL-6, TNF, and IL-1β. Which provides new ideas for the discovery of small molecular compounds with potential therapeutic effects on PF secondary to COVID-19.

摘要

背景

鉴于感染新型冠状病毒肺炎(COVID-19)的人数众多,COVID-19继发的并发症肺纤维化(PF)可能会出现第二波晚期死亡。然而,COVID-19继发PF的分子机制尚未完全阐明,这使得确定靶向治疗的新策略具有挑战性。本研究旨在通过网络药理学和数据挖掘系统地确定COVID-19继发PF的分子机制和高频核心中药。

方法

通过绘制COVID-19差异表达基因和与PF相关的已知靶点、蛋白质-蛋白质相互作用网络分析和富集通路分析,确定COVID-19继发PF的分子机制;然后通过数据挖掘以及“COVID-19继发PF相关关键靶点-成分”和“关键成分-关键草药”网络分析,确定靶向COVID-19继发PF的高频核心中药;最后通过分子对接验证关键成分与关键靶点之间的相互作用。

结果

COVID-19继发PF的分子机制主要与肿瘤坏死因子(TNF)信号通路、细胞因子-细胞因子受体相互作用通路和NF-κB信号通路有关。其中,细胞因子白细胞介素6(IL-6)、TNF和IL-1β被确定为与COVID-19继发PF相关的关键靶点。确定了靶向这些关键靶点的高频核心中药,包括槲皮素、表没食子儿茶素-3-没食子酸酯、大黄素、雷公藤内酯醇、白藜芦醇以及虎杖药材的成分。最后,槲皮素和白藜芦醇与IL-6、TNF和IL-1β蛋白均能良好对接,估计对接能量<0千卡/摩尔,验证了我们的结果。

结论

本研究确定了COVID-19继发PF的细胞因子相关分子机制,以及通过靶向IL-6、TNF和IL-1β抗PF的高频核心中药。这为发现对COVID-19继发PF具有潜在治疗作用的小分子化合物提供了新的思路。

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