ABSTRACT
Objective:To explore the medication law and core TCM prescriptions of Jia Yuejin in the treatment of coronary heart disease (CHD) complicated with depressive disorder (DD) by analyzing target-based network and mining clinical data.Methods:The targets of CHD complicated with DD were obtained by GeneCards, OMIM, TTD and other databases, and then the protein-protein interaction network of the two disease targets was constructed and then screened out the core targets. The Metascape platform was used to perform GO and KEGG pathway enrichment analysis on the intersection targets respectively to analyze the mechanism of action of CHD complicated with DD. Then TCMSP was used to query the active components acting on the targets and the Chinese materia medica containing these active components, and the data were imported into Cytoscape 3.9.0 to construct the core target-active component-Chinese materia medica network for network topology analysis. The outpatient clinical data of Jia Yuejin from January 1, 2015 to January 1, 2021 were collected, and data mining was conducted by using the Ancient and Modern Medical Case Cloud Platform (V2.3.5) to obtain his commonly used prescriptions. The results were fitted with the core TCM prescriptions obtained by target network analysis, and the drugs in the core prescriptions were analyzed.Results:Totally 1 501 intersection targets were obtained by protein interaction network analysis of CHD complicated with DD, which could be divided into 4 core target clusters, including inflammation cause, subclass tumor cause, subclass lipid metabolism factor, and fibrosis factor; a total of 480 active components were obtained by TCMSP, which belonged to 181 types of Chinese materia medica, including 8 core components: quercetin, kaempferol, luteolin, carotene, beta-carotene, acacetin, formononetin and ellagic acid. GO enrichment analysis yielded 61 results, mainly including positive regulation of protein phosphorylation, signal receptor agonist activity, side of membrane , etc.; KEGG pathway enrichment analysis yielded a total of 20 results, mainly including cancer pathways, lipid and atherosclerosis, JAK-STAT signaling pathway, etc. Clinical data mining included 120 cases and 148 prescriptions, including 135 types of Chinese materia medica; the properties were mainly mild, warm, slightly cold and cold; the tastes were mainly sweet, bitter and light, and the medicine mainly belongs to the lung, spleen, liver, heart, stomach, kidney and other meridians; drug association analysis, cluster analysis and complex network analysis were used to synthesize common prescriptions. The core TCM prescriptions obtained from common prescription and target network analysis were fitted: Pinelliae Rhizoma, Glycyrrhizae Radixet Rhizoma, Bupleuri Radix, Cyperi Rhizoma, Salviea Miltiorrhizae Radix et Rhizoma, Corydalis Rhizoma, Codonopsis Radix, Astragali Radix, Acori Tatarinowii Rhizoma. Conclusion:The medication law of Jia Yuejin in the treatment of CHD complicated with DD is in accordance with core TCM prescriptions. This study can provide guidance for clinical treatment and further research of CHD complicated with DD.
ABSTRACT
Objective:To explore the medication rules and mechanisms of traditional Chinese medical doctor Jia Yuejin for treating depressive disorder based on data mining and network pharmacology. Methods:The medication rules and core prescription were analyzed with the statistics of frequency, properties and analysis of correlation, clustering, and complex network of prescriptions for the treatment of depressive disorder from the outpatient service of Professor Jia in the past five years, from 1st Jan. 2016 to 1st Jul. 2020, with the help of the Ancient and Modern Medical Records Cloud Platform (V 2.2.3). Then we obtained the targets of effective ingredients of each drug of the core prescription and disease targets and took the intersection by virtue of TCMSP, GEO and other databases. We used Cytoscape V 3.8.0 to construct disease-drug-ingredient-target and protein-protein interaction networks, and performed GO and KEGG pathway enrichment analysis, and finally selected the key effective ingredients and key targets to apply software of Vina to molecularly dock. Results:A total of 120 medical records, 148 prescriptions and 138 drugs were obtained. The most common drug properties were gentle, warm, cold. The main tastes were sweet, pungent and bitter, and the meridians were concentrated in two spleen and liver meridians. The core prescription of 8 drugs was obtained through analysis of drug correlation, clustering and complex network. A total of 80 effective ingredients, 772 related targets, 542 intersectional genes of the core prescription were obtained, the key ingredients included dehydroeburicoic acid, α-Amyrin, and the key targets included AKT1, ESR1. The GO enrichment analysis showed metabolic process, immune system process, signaling process, and the KEGG pathway enrichment analysis showed neuroactive ligand-receptor interaction, NF-κB signaling pathway. The results of molecular docking of key ingredients and key targets showed them stable binding.Conclusion:The rules of Chinese Medicines of Professor Jia for depressive disorders show the related multi-ingredient, multi-target, multi-pathway mechanisms, which can provide references for clinical use and further research.