ABSTRACT
BACKGROUND: Diabetic retinopathy (DR) includes a series of typical lesions affected by retinal microvascular damage caused by diabetes mellitus (DM), which not only seriously damages the vision, affecting the life's quality of patients, but also brings a considerable burden to the family and society. Astragalus Membranaceus (AM) is a commonly used medicine in clinical therapy of eye disorders in traditional Chinese medicine (TCM). In recent years, it is also used for treating DR, but the specific mechanism is unclear. Therefore, this study explores the potential mechanism of AM in DR treatment by using network pharmacology. METHODS: Based on the oral bioavailability (OB) and drug likeness (DL) of two ADME (absorption, distribution, metabolism, excretion) parameters, Traditional Chinese Medicine Systems Pharmacology Database (TCMSP), Swiss Target Prediction platform, GeneCards, and OMIM database were used to predict and screen the active compounds of AM, the core targets of AM in DR treatment. The Metascape data platform was used to perform Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis on the core targets. RESULTS: 24 active compounds were obtained, such as quercetin, kaempferol, and astragaloside IV. There were 169 effective targets of AM in DR treatment, and the targets were further screened and finally, 38 core targets were obtained, such as VEGFA, AKT1, and IL-6. EGFR tyrosine kinase inhibitor resistance, AGE-RAGE signaling pathway in diabetic complications, PI3K-Akt signaling pathway, and other metabolic pathways participated in oxidative stress, cell apoptosis, angiogenesis signal transduction, inflammation, and other biological processes. CONCLUSION: AM treats DR through multiple compounds, multiple targets, and multiple pathways. AM may play a role in the treatment of DR by targeting VEGFA, AKT1, and IL-6 and participating in oxidative stress, angiogenesis, and inflammation.
ABSTRACT
Based on variation of Pinus massoniana families, heritablility and correlation analysis, the contents of shikimic acid and procyanidine (heritability 0.90, 0.70), dry weight of single branch (heritability 0.60) and and leaf length (heritability 0.46) were screened out as quality, yield and harvest cost traits of Folium Pini, respectively. For the different medicinal application of Folium Pini, varied methods were chosen to estimate weight and construct index equation. Weight adjustment based.on equal emphasis were used as economic weight determining method to select the best families, and the index (accuracy 0. 936 4 and heritability 0. 881 6) obtained was a little better than that obtained by equal emphasis, and much better than that by restricted index. The superior families selected with adjustment weight and equal emphasis were No. 46, 43 and 28. Partial regression were used as economic weight determining method to select the best families,and the index obtained had the highest accuracy (0.941 5) , index heritability (0. 889 9) and the genetic gain of shikimic acid content. The superior families selected with this method were No. 46, 27 and 47. No. 46 was the best families with maximal economic benefit. Our study indicated that suitable method for estimate weight and construct index equation can be applied for better accuracy of superior families selection of P. massoniana.