Research Article
LI Jinbang, KANG Le, YAN Mengqing, ZHANG Hongwei, CAO Yangang, LIU Mengyun, LI Hongwei, ZHU Jianguang, LI Kai, ZHANG Zhenling
OBJECTIVE To analyze the song formula of “Eighteen Incompatible Medicaments” in Zhang Zihe’s Ru Men Shi Qin,and to identify core drug pairs using Apriori and MIE algorithms and explore their potential toxicity based on network toxicology,thus guiding rational drug use in clinical practice. METHODS Using the ancient Chinese medical books as a main reference and in combination with literature review,a database of prescriptions containing the contents of “Eighteen Incompatible Medicaments” was created. Apriori algorithm and MIE algorithm in IBM SPSS ModelerV18.0 software were applied to analyze the frequency,medicinal properties,association rules,and correlation of pairs. The anti-drug pair with higher confidence,support and MIE value in the association rule analysis was selected. The TCMSP (Traditional Chinese Medicine Systematic Pharmacology Database and Analysis Platform) was used to obtain the components of Pinellia Rhizoma and Aconitum carmichaelii. Their toxicity was predicted by introducing their components into the ADMETlabV2.0 database. The disease targets of respiratory toxicity were obtained using the GeneCard and OMIM databases. The intersecting targets were screened using the online mapping of VennyV 2.1.0,and subjected to the plotting of a protein-protein interaction (PPI) network using the STRING database. A TCM-component-pathway-target network was created using Cytoscape V3.9.0 to screen the core targets. Gene Ontology Function Enrichment (GO) and Kyoto Encyclopedia of Genes and Genes Pathway Enrichment (KEGG) analyses were performed. RESULTS A total of 82 formulas were included,containing 121 groups of anti-drug pairs. Drug pairs with the highest support in the aconite,licorice,and veratrum groups were Pinellia Rhizoma-Aconitum carmichaelii,Flos Genkwa-Radix et Rhizoma Glycyrrhizic,and Ginseng Radix et Rhizoma-Veratri Nigri Radix et Rhizoma. Anti-drug pairs with the largest MIE values were Ampelopsis Radix-Aconitum carmichaelii,Kansui Radix-Glycyrrhizae Radix et Rhizoma Praeparata Cum Melle,and Asari Radix et Rhizoma-Veratri Nigri Radix et Rhizoma. The high-frequency drug pairs of Pinellia Rhizoma-Aconitum carmichaelii had a total of 28 active ingredients and 127 intersecting targets. KEGG pathway enrichment analysis yielded 128 related pathways,which were mainly enriched in the pathways of cancer,PI3K-Akt,tuberculosis,IL-17,etc. CONCLUSION “Eighteen Incompatible Medicaments” in TCM are widely used in ancient clinics,among which the frequency of use of Pinellia Rhizoma-Aconitum carmichaelii drug pairs is the highest. For the clinical application,the use of anti-drug pairs should be treated dialectically and rational under the safety. Network toxicology research on the core anti-drug pairs of Pinellia Rhizoma-Aconitum carmichaelii indicates that the core targets of its potential respiratory toxicity are AKT1 and IL-6,with key signaling pathways including the cancer pathway and the AGE-RAGE pathway. The research results provide new insights into the toxicity mechanism of Pinellia Rhizoma-Aconitum carmichaelii and offer a feasible approach for exploring the modern scientific implications of TCM contraindications through a combination of classical text analysis and modern informatics methods.