In this study the Qing weather records 'Clear and Rain Records' were used to reconstruct the 18th century summer (June-August) precipitation and monthly precipitation series of May, June, July, and August. The...In this study the Qing weather records 'Clear and Rain Records' were used to reconstruct the 18th century summer (June-August) precipitation and monthly precipitation series of May, June, July, and August. The nature of these records and the techniquc of transforming them into numerical codes are described. The procedure of converting these descriptive records into quantitative monthly precipitation and its scientific basis are given in detail. The reliability of the obtaind precipitation series is also ex- amined.展开更多
目的 系统性深入挖掘清宫痹症医案为治疗类风湿性关节炎(rheumatoid arthritis,RA)提供参考。方法 基于频数分析获得医案治疗痹症的常用药物和常见证型,在检验数据质量的基础上构建“方剂-中药”及“方剂-证型”二分网络,并构建“证-药...目的 系统性深入挖掘清宫痹症医案为治疗类风湿性关节炎(rheumatoid arthritis,RA)提供参考。方法 基于频数分析获得医案治疗痹症的常用药物和常见证型,在检验数据质量的基础上构建“方剂-中药”及“方剂-证型”二分网络,并构建“证-药-方”三分网络,针对挖掘结果,从中医药系统药理数据库和分析平台(Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform,TCMSP)下载核心中药的成分和靶点并通过UniProt数据库对靶点进行标准化,从GeneCards数据库获取RA靶点,利用微生信平台取交集靶点后,应用STRING数据库和Cytoscape构建蛋白互作网络(protein-protein interaction networks,PPI),并筛选核心成分和核心靶点,完成GO、KEGG富集分析。结果 共梳理清宫痹症医案347例,包括203种药物和137类证型,频次最高的10种常用药物为当归、茯苓、白芍、生甘草、生地黄、白术、黄芩、川芎、香附、陈皮,以及11种常见证型包括气血亏虚证、风寒束表证、湿盛着痹证、气机郁滞证、湿热蕴结证、肝阴不足证、血不荣筋证、湿热下注证、表寒里饮证、湿热阻络证、饮溢四肢证;多分网络挖掘出重要药物组合为当归-白芍-白术,治疗RA主要是当归中2个有效成分、白芍中13个有效成分、白术中7个有效成分,治疗RA的关键作用靶点有12个,主要涉及MAPK信号通路。结论 医案治疗RA用药方向主要为缓解疼痛、除湿、益气补血,当归-白芍-白术组合对RA具有潜在治疗效果。展开更多
基金supported by the U.S.National Science Foundation Climate Dynamics Section Grant ATM-8511905.
文摘In this study the Qing weather records 'Clear and Rain Records' were used to reconstruct the 18th century summer (June-August) precipitation and monthly precipitation series of May, June, July, and August. The nature of these records and the techniquc of transforming them into numerical codes are described. The procedure of converting these descriptive records into quantitative monthly precipitation and its scientific basis are given in detail. The reliability of the obtaind precipitation series is also ex- amined.
文摘目的 系统性深入挖掘清宫痹症医案为治疗类风湿性关节炎(rheumatoid arthritis,RA)提供参考。方法 基于频数分析获得医案治疗痹症的常用药物和常见证型,在检验数据质量的基础上构建“方剂-中药”及“方剂-证型”二分网络,并构建“证-药-方”三分网络,针对挖掘结果,从中医药系统药理数据库和分析平台(Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform,TCMSP)下载核心中药的成分和靶点并通过UniProt数据库对靶点进行标准化,从GeneCards数据库获取RA靶点,利用微生信平台取交集靶点后,应用STRING数据库和Cytoscape构建蛋白互作网络(protein-protein interaction networks,PPI),并筛选核心成分和核心靶点,完成GO、KEGG富集分析。结果 共梳理清宫痹症医案347例,包括203种药物和137类证型,频次最高的10种常用药物为当归、茯苓、白芍、生甘草、生地黄、白术、黄芩、川芎、香附、陈皮,以及11种常见证型包括气血亏虚证、风寒束表证、湿盛着痹证、气机郁滞证、湿热蕴结证、肝阴不足证、血不荣筋证、湿热下注证、表寒里饮证、湿热阻络证、饮溢四肢证;多分网络挖掘出重要药物组合为当归-白芍-白术,治疗RA主要是当归中2个有效成分、白芍中13个有效成分、白术中7个有效成分,治疗RA的关键作用靶点有12个,主要涉及MAPK信号通路。结论 医案治疗RA用药方向主要为缓解疼痛、除湿、益气补血,当归-白芍-白术组合对RA具有潜在治疗效果。