目的 探究中医药治疗盆腔炎的用药规律,为中医临床辩证用药提供借鉴。方法 采用主题词联合自由词相,全面检索CNKI、VIP、Wangfang、CBM、PubMed和EMbase、数据库及Cochrane图书馆,收集中、西药对比治疗盆腔炎的随机对照试验。严格按照纳入、排除标准挑选随机对照试验中涵盖的中药药方,采用Excel表格统计分析药方中药的四气、五味、归经和用药频率,随后利用系统聚类软件对使用频率高的中药开展关联、聚类和主成分分析。结果 本文共纳入235个随机对照试验,涉及320首中药处方,平均用药味数13.29味,使用频率前五位的药分别为延胡索、赤芍、当归、蒲公英、丹参;关联规则共得出41对高关联药对,其中包括赤芍-延胡索、莪术-三棱-败酱草等。高频率使用的前30味中药可分为五大类,获取的9个主成分分析结果与系统聚类中的结果一致。结论 本研究采用循证医学和系统聚类分析方法,剖析中医药治疗盆腔炎的用药规律,为临床用药提供参考。

Objective To discuss the medication regularity of traditional Chinese medicine (TCM) in the treatment of pelvic inflammatory disease, and provide new thinking for effective medication in clinical medicine. Methods Keywords combined with free word were used to comprehensively search CNKI, VIP, Wangfang, CBM, PubMed and EMbase, databases and Cochrane library to collect randomized controlled trials of comparative treatment of pelvic inflammatory disease between Chinese and Western drugs. The TCM prescriptions covered in the randomized controlled trial were selected in strict accordance with the standard inclusion and exclusion criteria. Excel was used to statistically analyze the four properties, five flavors, meridian and medication frequency of TCM prescriptions. Then, systematic clustering software was used to carry out correlation, clustering and principal component analysis for the Chinese medicines with high using frequency. Results The study included 235 randomized controlled trial and 320 prescriptions of traditional Chinese medicine were involved, the average number of herbs was 13.29, which Yanhusuo, Chishao, Danggui, Pugongying, Danshen were with top five frequency. A total of 41 drug pairs with high association were obtained by association rules, including Chishao-Yanhusuo, Eshu-Sanleng-Baijiangcao, etc. Thirty traditional Chinese medicine with high using frequency can be divided into 5 categories according to the effect. The obtained results of 9 principal component analysis were consistent with those in the system cluster. Conclusions In this study, evidence-based medicine and systematic cluster analysis were used to analyze the medication regularity of traditional Chinese medicine in the treatment of pelvic inflammatory disease, so as to provide reference for the clinical medication.

目的 基于网络药理学方法预测银杏叶治疗心肌缺血的潜在靶点及信号通路。方法 利用 TCMSP 平台筛选生物利用度(OB)≥ 30% 和类药性(DL)≥ 0.18 的活性成分及作用靶点。利用GeneCards和OMIM数据库检索心肌缺血疾病相关靶点,并提取药物成分和心肌缺血疾病的共有靶点作为关键靶点。通过在线TRING平台构建PPI网络,并采用Cytoscape 软件构建可视化的“化合物-靶点-通路”网络,进一步进行GO 功能富集分析和KEGG通路富集分析。结果 筛选得到 27种潜在的药效成分,2 164个化合物靶点,531个心肌缺血相关靶基因。两者取交集后获得疾病-类药活性成分40个共同靶点,PPI 蛋白互作网络自由度较高的节点依次为:IL6、VEGFA、CASP3、MAPK8、MYC、NOS3。GO 功能富集分析得到42个 GO 条目,KEGG 通路富集分析得到42条信号通路。结论 银杏叶治疗心肌缺血主要GO 能力富集在半胱氨酸肽链内切酶活性,内肽酶活力,激活转录因子结合,DNA结合转录激活剂活性,RNA聚合酶II特异性等功能,调控TNF信号通路,糖尿病并发症的年龄愤怒信号, 细胞凋亡,PI3K-Akt信号通路等信号,进一步达到对心肌缺血疾病的治疗。

Objective To predict the potential targets and signal pathways of ginkgo leaf in the treatment of myocardial ischemia based on network pharmacology. Methods The active components and targets of bioavailability (OB) ≥ 30% and drug-like (DL) ≥ 0.18 were screened by TCMSP platform.The related targets of myocardial ischemic diseases were searched by GeneCards and OMIM database, the components and the common targets of myocardial ischemic diseases were extracted as the key targets. To build the PPI network through the online STRING platform, a visual “compound-target-pathway” network was constructed to further analyze the functional enrichment of GO and the enrichment of KEGG pathway. Results 27 potential active components, 2 164 compound targets and 531 myocardial ischemia related target genes were screened. After the intersection of the two, 40 common targets of disease-class active components were obtained. The nodes with higher degree of freedom of PPI protein interaction network were IL6、VEGFA、CASP3、MAPK8、MYC and NOS3.42 entries were obtained by GO functional enrichment analysis and 42 signal pathways were obtained by KEGG pathway enrichment analysis. Conclusion Ginkgo leaf may be a target of cysteine-type endopeptidase activity,endopeptidase activity,activating transcription factor binding,DNA-binding transcription activator activity, RNA polymerase II-specific function. TNF signaling pathway, AGE-RAGE signaling pathway in diabetic complications, apoptosis, PI3K-Akt signaling pathway were regualted to achieve the treatment of myocardial ischemia disease.

目的 统计分析中医治疗胎动不安的用药规律,为临床中医治疗胎动不安提供用药参考。方法 严格按照标准筛选中医治疗胎动不安的中药处方,采用 excel表格对处方基本用药信息进行统计,然后再采用 SPSS19.0软件以中药的功效作为评价指标进行分析,以确定处方中用药味数、用药天数、以及中药的使用频次。并对使用频次前30位的药物进行归类,确定药物使用频次高的特征值、贡献率和综合得分。结果 所选取的356例患者中药处方中,平均用药药味数15.7味,平均剂量226.7 g,使用频次最高的前5位药分别为菟丝子、桑寄生、续断、白芍、白术;30味中药通过按照功效可分为5类,所提取的10个主成分能反映系统聚类中的分类结果。结论 对中医治疗胎动不安患者处方进行分析,为中医治疗胎动不安提供了用药参考,对指导临床合理用药有重要指导意义。

Objective To analyze the medication experience in treating fetal irritability and provide medication reference of clinical traditional Chinese medicine in treatment of fetal irritability. Methods The prescription of traditional Chinese medicine treats was screened according to the standard. The information of prescription basic were statisticed with Excel and processed the data by SPSS19.0, to determine the frequency of medicine the number of drugs and medication days. The Chinese medicines used in the top 30 were classified to determine the characteristic of eigenvingue,rate of contribution and synthesis score. Results The top 5 highest frequency medicines were Tusizi, Sanjisheng, Xuduan, Baishao, Baishu; and the average drug taste was 15.7,the average dose was 226.7 g,after analyzing the screened 356 prescriptions. 30 Chinese medicines could be clustered into 5 kinds. The extraction of 10 principal components of principal component scores and comprehensive scores may reflect the classification results of system clustering. Conclusion To analyze the prescriptions of traditional Chinese medicine for fetal irritability, provide the reference for medicine combination in treating different syndromes of fetal irritability. It had the extremely vital significance for guiding the clinical medication.