| 何美君,程雨萌,陈茜,等.基于数据挖掘探讨非糜烂性胃食管反流病的中医药用药规律[J].安徽医药,2022,26(11):2308-2312. |
| 基于数据挖掘探讨非糜烂性胃食管反流病的中医药用药规律 |
| Explore the rule of TCM drug use in non-erosive gastroesophageal reflux disease based on data mining |
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| DOI：10.3969/j.issn.1009-6469.2022.11.042 |
| 中文关键词: 胃食管反流 数据挖掘 中医传承计算平台 网络药理学 用药规律 |
| 英文关键词: Gastroesophageal reflux Data mining Traditional Chinese medicine inheritance computing platform Network pharmacology Medication rule |
| 基金项目:第三届国医大师传承工作室及全国名中医传承工作室建设项目［辽中医药函字( 2018)76号］；第四批全国优秀中医(临床、基础)优秀人才研修项目(国中医药人教发【2017】24号) |
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| 中文摘要: |
| 目的基于文献挖掘非糜烂性胃食管反流病( NERD)的中医药用药规律，探讨核心药物治疗 NERD的潜在靶点与作用机制。方法在中国知网( CNKI)数据库中检索用中医药治疗 NERD的文献，构建中医药治疗 NERD的证型与组方数据库，并运用中医传承计算平台 V3.0分析证型分布和挖掘用药规律。从 TCMSP和 BATMAN-TCM数据库获取核心方的作用靶点，导入 String11.0数据库构建蛋白间相互作用网络。运用 Cytoscape3.8.0对网络进行可视化，并用 cytoHubba插件筛选关键靶点。用 R3.6.1对关键基因进行基因本体( gene ontology，GO)分析和京都基因与基因组百科全书( kyoto encyclopedia of genes and ge. nomes，KEGG)富集分析。结果共纳入处方 89首，使用中药 130味。分析发现 NERD以肝胃不和证最多( 33个)，其余依次为肝胃郁热证( 25个)，气郁痰阻证( 14个)中虚气逆( 13个)寒热错杂证( 4个)。药物四气以温为主，五味以苦为主，归经中脾、 |
| 英文摘要: |
| Objective To explore the regularity of traditional Chinese medicine (TCM) medication for non-erosive gastroesophagealreflux disease (NERD) based on literature research, and explore the potential targets and mechanism of action of core drugs in the treat.ment of NERD.Methods The literature on the use of Chinese medicine in the treatment of NERD in Chinese National Knowledge In.frastructure (CNKI) was retrieved, a database of syndrome types and prescriptions for the treatment of NERD by TCM was constructed,and the traditional Chinese medicine inheritance computing platform V3.0 was used to analyze the distribution of syndrome types andexplore the rules of drug use. The target points of the core formula was obtained from the TCMSP and BATMAN-TCM databases, and imported into the String11.0 database to construct the protein-protein interaction network. The network was visualized with Cytoscape 3.8.0, and key targets were screened with the cytoHubba plug-in. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes andGenomes (KEGG) enrichment were performed on key genes with R3.6.1.Results A total of 89 prescriptions were included, and 130Chinese medicines were used. The analysis found that NERD had the most syndromes of liver-stomach discord (33), followed by liver-stomach stagnation-heat syndrome (25), qi stagnation and phlegm block syndrome (14), middle-deficiency qi inverse (13), and cold-heat complex syndromes (4). The four qi of the medicine were mainly warm, and the five flavors were mainly bitter. The spleen, lung, andstomach meridians were the most common in the meridians. The main effect was to invigorate deficiency, regulate qi, resolve phlegm,relieve cough and relieve asthma. There were 11 traditional Chinese medicines with a frequency of medication ≥ 30, and the top 5 of the frequency were Pinellia, Bupleurum, Coptis, Scutellaria, and Evodia. According to the association rules, 40 commonly used drugcombinations were obtained, including 34 combinations of two-flavored drugs and 6 combinations of three-flavored drugs. The confi.dence level of Coptidis and medicine on the association of sea cuttlebone, Evodia, Bupleurum, and Evodia was 1. Through networkpharmacological analysis, the core drugs Chenpi, Pinellia, Scutellaria, Bupleurum, Coptis, Evodia might be caused by Toll-like recep. tors, IL-17, AGE-RAGE, T cell receptors, TNF and other signaling pathways to the role of treatment of NERD.Conclusion Throughthe use of traditional Chinese medicine inheritance computing platform software and network pharmacology methods, the core drugsand action mechanisms of traditional Chinese medicine for the treatment of NERD were deeply explored, so as to provide references forclinical treatment of NERD and the development of experimental research. |
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