ABSTRACT
Objective:This study by using the method of network pharmacology to screen the active constituent and related targets of Epimedii Folium aims to explore the mechanisms of the reinforcing effect of Epimedii Folium on kidney in the treatment of PCOS. Methods:By retrieving data from TCMSP datebase, screened out the active constituent of Epimedii Folium and the information of the targets corresponding to each active constituent; by using the gene database of NCBI, translated the information of the targets into gene names; by retrieving data from GeneCards datebase, extracted the genes related to PCOS; related targets of Epimedii Folium in the treatment of PCOS were obtained by Venn tool; by using Cytoscape 3.7.2 software, constructed a network diagram of Epimedii Folium-active constituents-targets-PCOS; by using STRING database, constructed the protein interaction network; then carried out GO enrichment analysis of related targets by Geneontology database and carried out pathway enrichment analysis of related targets by KEGG database. Results:There were 23 active constituents of Epimedii Folium and 132 related targets treating PCOS. The Epimedii Folium could play the reinforcing effect on kidney mainly by regulating the biological processes like steroid hormone receptor activity, as well as KEGG pathways such as Estrogen signaling pathway, GnRH signaling pathway, GnRH secretion, HIF-1 signaling pathway and VEGF signaling pathway in treating PCOS. Conclusion:From the perspective of network pharmacology, this study preliminarily analyzed the related targets and pathways of reinforcing effect on kidney of Epimedii folium in the treatment of PCOS, providing reference for further experiments and application inclinics.
ABSTRACT
Objective To explore the clinical metabolic characteristics and the blood glucose variability in the insulin resistance polycystic ovary syndrome (PCOS) patients.Methods Totally 69 cases of PCOS patients were divided into two groups:PCOS with insulin resistance (PCOS-IR) group and PCOS without insulin-resistance (PCOS-NIR) group.Their clinical and metabolic characteristics were analyzed,and continuous glucose monitoring system (CGMS) was used to monitor the glucose concentration of subcutaneous interstitial fluid to reflect the blood glucose level.Mean blood glucose level (MBG) and its standard deviation (SDBG),mean amplitude of glycemic excursion (MAGE),peak level of postprandial plasma glucose as well as its peaking time during a 48-hour period CGMS were calculated.Results MBG,SDBG,large amplitude of glycemic excursions (LAGE),MAGE level in PCOS-IR group,were significantly higher than those in PCOS-NIR (P ＜ 0.05).Body mass index (BMI),triglycerides,glycated hemoglobin Alc (HbAlc),fasting blood glucose (FBG),2 hours glucose,free androgen index (FAI) level in PCOS-IR group were higher than in PCOS-NIR group (P ＜ 0.01).The difference of total cholesterol,low-density lipoprotein,mean of daily difference (MODD) level were not statistically significant (P ＞ 0.05).Conclusions PCOS-IR patients suffer from more serious metabolic disorder and blood glucose variability.