目的 运用数据挖掘、网络药理学和分子对接的方法,探讨中药复方治疗中枢性性早熟（CPP）的用药规律和作用机制,为其临床治疗提供更多依据。方法 在中国知网（CNKI）、万方数据（Wanfang）、维普中文期刊（VIP）等数据库中检索从建库至2022年10月发表的中药复方治疗CPP的文献,用Excel 2021 收集整理临床治疗CPP的常用中药复方,并通过Excel 2021、SPSS Modeler 18.0、SPSS Statistics 25.0等软件对其进行频次、关联规律等分析,研究CPP治疗的用药规律。在上述基础上采用网络药理学的研究方法,筛选出高频药对的活性成分、作用靶点以及疾病的相关靶点,构建蛋白互作网络,并通过基因本体和京都基因 基因组百科全书通路富集分析来阐明药物的作用机制。最后运用 Autodock Vina 软件进行分子对接对结果验证。结果 共筛选出224篇文献,包含方剂133首,中药188味。发现18味使用超过25次的高频药物;清热类、补虚类的药物应用较多;药物性味以寒及苦为主;归经之中以肝经占比最高;进一步关联分析得到高频药对14个;核心处方4个。网络药理学结果显示,共得到44个活性成分、200个药物靶点、1 287个疾病靶点、70个共有靶点、573条GO富集条目及136条KEGG通路,药物主要成分槲皮素、山奈酚、β-谷甾醇作用于雌激素受体、黄体酮受体等核心靶点,通过内分泌抵抗、雌激素等信号通路发挥治疗作用。分子对接结果显示药物主要活性成分与相应核心靶点具有较好的结合能力。结论 中药复方治疗CPP多为滋阴清热、补虚类药物,与药性寒,药味苦、甘,归肝、肾经的药物配伍使用。其中高频药对“知母-黄柏”通过多成分、多靶点调控内分泌抵抗、雌激素信号通路发挥治疗作用。

Objective To explore the prescription rules and mechanism of traditional Chinese medicine（TCM） in the treatment of central precocious puberty（CPP）by using data mining,network pharmacology and molecular docking,so as to provide more evidence for clinical treatment．Methods Using the literature on the treatment of CPP with TCM compounds,which was retrieved from the databases of CNKI,Wanfang,VIP and other databases from the establishment of the database to October 2022 as the data sources．Excel 2021 was used to collect and summarize the commonly used TCM prescriptions for CPP,and conducted frequency analysis and association rules analysis of CPP by Excel 2021,SPSS Modeler 18.0,SPSS Statistics 25.0 and other software,so as to study the composition rule of prescriptions for CPP．On the basis of these results,network pharmacology method was used to screen out the active ingredients and action targets of high-frequency drugs,and then screen out the disease related targets to construct PPI network．Mechanism of drugs was clarified through GO and KEGG pathway enrichment analysis．Finally,the molecular docking of autodock Vina（Vina）platform was used to verify the results．Results A total of 244 documents met the search criteria,including 133 prescriptions and 188 traditional Chinese medicines．It had been found that 18 high-frequency Chinese medicines were used more than 25 times．The drugs mainly focused on clearing heat and supplementing deficiency．The medicinal flavors were mainly cold and bitter,which belonged to the liver channel．Further correlation analysis yielded 14 high-frequency drug pairs and 4 core prescriptions．The results of network pharmacological analysis showed that 44 active components,200 drug targets,1 287 disease corresponding targets,70 common targets,573 GO enrichment entries and 136 KEGG pathways targets were obtained．It has been found that the main components of the drugs,such as quercetin,kaempferol and β-sitosterol,act on the core targets of ESR1,PGR and play a therapeutic role through endocrine resistance and estrogen signaling pathways．Finally,molecular docking results showed that the main active ingredients of the drug had good binding ability with the corresponding core targets．Conclusions In the treatment of CPP,traditional Chinese medicine is mainly used types of nourish Yin,clear heat and replenish deficiency,which is compatible with the drugs with cold properties,bitter and pliant taste,and the liver and spleen channels．Among them,high-frequency drug pair “ZhiMu-HuangBai” play a therapeutic role in the regulation of endocrine resistance and estrogen signaling pathways through multi-components and multi-targets．

目的 应用 Python语言对《圣济总录》中腰痛病篇中的中药进行用药规律分析,提取腰痛病治疗方法及用药特色指导临床腰痛病治疗思路。方法 运用 Python语言中的语言提取对《圣济总录》中腰痛篇章中的所有中药方剂识别,提取方剂组成,统计并分析方剂中中药的规律并将其结果可视化呈现。结果 最终共纳入62首方剂,包含药物86味。其中使用频次≥7次、频率≥1.6%的药物共20味,频次频率最高的为桂枝;所用中药四气以温性为主,占56.74%;五味以辛、甘、苦为主,共约占90%,归经以肝肾经为主;药物功效以补虚类为主,占27.13%;关联规则分析显示提升度最高的组合为麻黄-独活,置信度最高的组合为巴戟天-牛膝、牵牛子-牛膝,支持度最高的组合为川芎-当归、川芎-杜仲;通过聚类分析得到3个聚类结果。结论 《圣济总录》治疗腰痛病方面善用通法和补法,强调活血通络,补益肝肾,尤擅长治疗肝肾亏虚或风寒所客等腰痛病证。

Objective Python language was used to analyze the rules of traditional Chinese medicine in the chapter of low back pain in Shengji Zonglu,and to extract the treatment methods and medication characteristics of low back pain to guide the clinical treatment of low back pain．Methods The language extraction in Python language was used to identify all the Chinese medicine prescriptions in the chapter of low back pain in Shengji Zonglu,extract the composition of the prescription,and analyze the rules of Chinese medicine in the prescription to visually present the results．Results A total of 62 prescriptions were included,including 86 drugs．Among them,with there were 20 kinds of drugs,the frequency of use ≥7 times,the frequency ≥1.6%,and cmnamomi Mmulus highest frequency．Four gas used in traditional Chinese medicine is given priority to with warm,accounted for 56.74%．The five flavors were mainly pungent,sweet and bitter,accounting for about 90%,and the liver and kidney meridians were the main meridians．The drug efficacy was mainly deficiency tonic,accounting for 27.13%．The association rule analysis showed that the combination with the highest improvement was Ephedrae Herba- Angelicae Pubescentis Radix,the combination with the highest confidence was Morindae Officinalis Radix- Achyranthis Bidentatae Radix,Pharbitidis Semen- Achyranthis Bidentatae Radix．and the combination with the highest support was Chuanxiong Rhizoma- Angelicae Sinensis Radix,Chuanxiong Rhizoma- Eucommiae Cortex．Three clustering result is obtained by cluster analysis．Conclusions In the treatment of low back pain,Shengji Zonglu is good at using both blocking methods and reinforcing methods,emphasizing circulating blood and unblocking meridians supplementing liver and kidney,especially in the treatment of low back pain syndrome caused by liver and kidney deficiency or wind and cold．

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 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.

      目的   应用 Python语言对《圣济总录》中腰痛病篇中的中药进行用药规律分析，提取腰痛病治疗方法及用药特色指导临床腰痛病治疗思路。方法   运用 Python语言中的语言提取对《圣济总录》中腰痛篇章中的所有中药方剂识别，提取方剂组成，统计并分析方剂中中药的规律并将其结果可视化呈现。结果   最终共纳入62首方剂，包含药物86味。其中使用频次≥7次、频率≥1.6%的药物共20味，频次频率最高的为桂枝；所用中药四气以温性为主，占56.74%；五味以辛、甘、苦为主，共约占90%，归经以肝肾经为主；药物功效以补虚类为主，占27.13%；关联规则分析显示提升度最高的组合为麻黄-独活，置信度最高的组合为巴戟天-牛膝、牵牛子-牛膝，支持度最高的组合为川芎-当归、川芎-杜仲；通过聚类分析得到3个聚类结果。结论   《圣济总录》治疗腰痛病方面善用通法和补法，强调活血通络，补益肝肾，尤擅长治疗肝肾亏虚或风寒所客等腰痛病证。

       Objective Python language was used to analyze the rules of traditional Chinese medicine in the chapter of low back pain in Shengji Zonglu，and to extract the treatment methods and medication characteristics of low back pain to guide the clinical treatment of low back pain．Methods The language extraction in Python language was used to identify all the Chinese medicine prescriptions in the chapter of low back pain in Shengji Zonglu，extract the composition of the prescription，and analyze the rules of Chinese medicine in the prescription to visually present the results．Results A total of 62 prescriptions were included，including 86 drugs．Among them，with there were 20 kinds of drugs，the frequency of use ≥7 times，the frequency ≥1.6%，and cmnamomi Mmulus highest frequency．Four gas used in traditional Chinese medicine is given priority to with warm，accounted for 56.74%．The five flavors were mainly pungent，sweet and bitter，accounting for about 90%，and the liver and kidney meridians were the main meridians．The drug efficacy was mainly deficiency tonic，accounting for 27.13%．The association  rule analysis showed that the combination with the highest improvement was Ephedrae Herba- Angelicae Pubescentis Radix，the combination with the highest confidence was Morindae Officinalis Radix- Achyranthis Bidentatae Radix，Pharbitidis Semen- Achyranthis Bidentatae Radix．and the combination with the highest support was Chuanxiong Rhizoma- Angelicae Sinensis Radix，Chuanxiong Rhizoma- Eucommiae Cortex．Three clustering result is obtained by cluster analysis．Conclusions In the treatment of low back pain，Shengji Zonglu is good at using both blocking methods and reinforcing methods，emphasizing circulating blood and unblocking meridians supplementing liver and kidney，especially in the treatment of low back pain syndrome caused by liver and kidney deficiency or wind and cold．