ABSTRACT
Objective: To explore the mechanism of Jingfang Granule in treatment of corona virus infection through biological information technology based on network pharmacology and molecular docking. Methods: The databases of TCMIP and TCMSP were used to summarize the flavor and meridian tropism and active compounds of Jingfang Granule, and the potential targets of active compounds were searched by PubChem and SwissTargetPrediction. The corona virus targets were collected from the GeneCards database. And common targets were enriched and analyzed by DAVID database after the intersection of the compounds targets and the disease targets. Then the network of "TCM-Ingredients-Common targets" was established by Cytoscape 3.7.2, the main active components and key targets were screened for molecular docking. Results: Totally 139 active components of Jingfang Granule and 27 common targets were obtained. GO enrichment analysis and KEGG enrichment analysis found that the pathways in cancer, MAPK signaling pathway, PI3K-Akt signaling pathway, TNF signaling pathway were the main pathways of Jingfang Granule in treatment of corona virus infection. The network of "TCM-Ingredients-Common targets" was successfully constructed, and results of molecular docking showed that the main components in this network such as β-sitosterol, cerevisterol, isorhamnetin, hesperetin, and luteolin etc., have good affinity with key targets of VEGFA, IL6, TNF, PPARγ, APP, ACE2, and SARS-CoV-2 3CL hydrolase. Conclusion: Jingfang Granule treats corona virus infectious diseases through the compatibility of multiple traditional Chinese medicine. Its resistance to corona virus infection may be through the β-sitosterol, cerevisterol, isorhamnetin, hesperetin, and luteolin act on the VEGFA, IL6, TNF, PPARγ, APP and other targets, and then affects the pathways in cancer, MAPK signal pathway, PI3K-Akt signal pathway, TNF signal pathways to achieve.
ABSTRACT
Objective:To establish the uncertainty evaluation method for total aerobic microbial count of Jingfang granule. Meth-ods:According to Chinese Pharmacopoeia (2015 edition, volume IV), the total aerobic microbial count of 20 samples of the same batch of Jingfang granule was detected. National specification of measuring instruments JJF1059.1-2012 was used to perform the uncer-tainty evaluation on the total count of aerobic microbial type A and type B,and the combined uncertainty and the extended uncertainty were calculated. SPSS statistics 19.0 software was used to analyze the normal distribution of data. Results:The combined standard was 0.043 9, the expanded measurement uncertainty was 0.088(k=2),the colony distribution range of the samples was 690-1 000 cfu· g-1,and the data was normal distribution. Conclusion:The established method for uncertainty assessment is simple and convenient, and the results of new test samples can be added. New range of uncertainty can be obtained by recalculating the standard deviation of the combined samples.
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Objective:To compare the microbial count method described in Chinese Pharmacopoeia ( ChP) 2010 edition and 2015 edition. Methods:The bacterial count and total aerobic microbial count for 15 samples of Jingfang granule with the same batch were tested respectively by the method described in ChP 2010 edition and 2015 edition, the average number, uncertainty, colony distribu-tion range of samples and qualified rate from the two testing items were analyzed and compared. Results:The average number of colo-nies for the bacterial count and total aerobic microbial count was 720 and 830 cfu·g-1 , the expand uncertainty of 95％ confidence in-tervals was 0. 067 and 0. 061, the colony distribution range of samples was 620-840 cfu·g-1 and 720-960 cfu·g-1 , and the qualified rate was 90％ and 100％, respectively. Conclusion:The microbial count method described in Chp 2015 edition is more sensitive with more reasonable result evaluation, which can guarantee the stability of inspection reports.