红色历史文化名镇保护规划探析——以江西省排埠镇为例

红色文化遗产是我国历史文化遗产的重要组成部分,是中华民族近代文明的结晶和共同的财富,具有十分重要的经济价值、革命历史价值和审美价值。该文综合分析了排埠镇的保护现状及其存在问题,通过对其历史文化价值进行评估以及历史建筑的质量评定,阐述了城镇历史遗存分级保护的规划思想,并根据保护框架,系统探讨了核心保护区、建设控制地带和风貌协调区的规划控制要求。

Network pharmacological study of Qingfei Paidu Decoction intervening on cytokine storm mechanism of COVID-19

Objective:To explore the possible mechanism of Qingfei Paibu Decoction in the treatment of COVID-19 from the perspective of cytokine storm by network pharmacology.Methods: The TCMSP and SymMap databases were used to screen out the active components and targets of Qingfei Paibu Decoction;The GeneCards database was used to screen the predicted targets of COVID-19;Two targets were mapped;The STRING database and Cytoscape3.7.2 software were used to construct the network diagram of active drag-ingredient-target and screen out the core components and targets;The GO enrichment analysis and KEGG pathway enrichment analysis were carried out by OmicShare cloud platform and David respectively.Results:A total of 52 potential targets of Qingfei Paibu Decoction for the treatment of COVID-19 were obtained, among which 17 were core targets related to inflammation, mainly including cytokines such as IL, IFN, TNF and chemokines. And 26 core components were obtained, including quercetin, luteolin, kaempferol, naringenin, and baicalein;The GO enrichment results showed 224 biological processes, 15 molecular functions and 33 cell components related to inflammation;There were 5 inflammatory signaling pathways in KEGG enrichment results, including TNF signaling pathway, Nod-like receptor signaling pathway, Toll-like receptor signaling pathway, MAPK signaling pathway and cytokine receptor interaction. Conclusion: Qingfei Paibu Decoction can inhibit cytokine storms by acting on multiple targets and pathways with multiple components and thus treat COVID-19.

清肺排毒汤干预新冠肺炎细胞因子风暴机制的网络药理学研究

目的:通过网络药理学从细胞因子风暴角度探讨清肺排毒汤治疗新型冠状病毒肺炎的可能机制。方法:利用TCMSP、SymMap数据库筛选出清肺排毒汤的活性成分及靶标;通过GeneCards数据库筛选新冠肺炎的预测靶点;将两者靶点进行映射;利用STRING数据库和Cytoscape3.7.2软件构建药物-活性成分-靶点网络图并筛选出核心成分及靶点;再通过OmicShare云平台、David分别进行GO富集分析和KEGG通路富集分析。结果:共获得52个清肺排毒汤治疗新冠肺炎的潜在靶点,17个与炎症相关的核心靶点,主要包含有IL、IFN、TNF等细胞因子和趋化因子,和26个核心成分,包括槲皮素、木犀草素、山奈酚、柚皮素和汉黄芩素等;GO富集结果中与炎症相关的生物过程224条,分子功能15条,细胞组成33条;KEGG富集结果中与炎症相关的信号通路5条,包括TNF信号通路、NOD样受体信号通路、Toll样受体信号通路、MAPK信号通路和细胞因子受体相互作用。结论:清肺排毒汤通过多成分作用于多靶点、多通路,达到抑制细胞因子风暴,从而治疗新冠肺炎的作用。