目的 通過數(shù)據(jù)挖掘和網(wǎng)絡(luò)藥理學(xué)方法分析中藥治療肺結(jié)核的用藥規(guī)律和作用機制。方法 采用Excel 2010、SPSS Modeler 18.0和SPSS Statistics 24.0軟件對昆明市第三人民醫(yī)院2019年1月-2020年8月肺結(jié)核患者的中藥處方進行頻數(shù)分析和關(guān)聯(lián)規(guī)則分析;運用中藥系統(tǒng)藥理學(xué)數(shù)據(jù)庫與分析平臺(TCMSP)篩選核心藥團的活性成分,整合GeneCards數(shù)據(jù)庫中肺結(jié)核的作用靶點,并獲得交集靶點。利用STRING數(shù)據(jù)庫構(gòu)建靶點蛋白相互作用(PPI)網(wǎng)絡(luò);通過DAVID 6.8數(shù)據(jù)庫將共同靶點進行基因本體(GO)分析和京都基因和基因組百科全書(KEGG)通路富集分析。結(jié)果 共納入處方數(shù)2648份,中藥164種。從排名前10位的高頻中藥中進行關(guān)聯(lián)規(guī)則分析得出置信度最高的核心藥團為"百部-黨參-茯苓"。核心藥團共篩選出59個活性成分和153個潛在靶點,并確定24個治療肺結(jié)核的核心靶點。GO富集得出141條結(jié)果,KEGG分析得出94條通路。結(jié)論 百部-黨參-茯苓可能是通過干預(yù)炎癥反應(yīng)、細胞凋亡從而起到治療肺結(jié)核的作用。

Objective Data mining and network pharmacology methods were used to analyze the medication rule of Chinese medicine in treatment of pulmonary tuberculosis. Methods Excel 2010, SPSS Modeler 18.0, and SPSS Statistics 24.0 software were used to conduct frequency analysis and association rule analysis on the prescriptions of traditional Chinese medicine for pulmonary tuberculosis patients in The Third People's Hospital of Kunming from January 2019 to August 2020. The active components of core drug group were screened by TCMSP, and the action targets of tuberculosis in GeneCards database were integrated, and the intersection targets were obtained. PPI network was constructed using STRING database. Action targets were analyzed using the DAVID 6.8 database for gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Results A total of 2 648 prescriptions including 164 kinds of Traditional Chinese medicine were included. The core drug group with the highest confidence was “Stemonae Radix–Codonopsis Radix–Poria” by association rule analysis among the top 10 high-frequency Chinese medicines. A total of 59 active ingredients and 153 potential targets were screened out from the core drug group, and 24 core targets for the treatment of tuberculosis were identified. 141 results were obtained by GO enrichment and 94 pathways were obtained by KEGG analysis. Conclusion “Stemonae Radix–Codonopsis Radix–Poria” may play a role in the treatment of pulmonary tuberculosis by interfering inflammatory reaction and apoptosis.

R978.3

昆明市衛(wèi)生科技項目（2020-0201-011，2021-16-01-0010）；昆明市衛(wèi)生科技人才培養(yǎng)項目“千”工程（2020-SW[后備]-60）