ABSTRACT
Objective::To predict Xiao Xianxiongtang's treatment of coronary heart disease (CHD) targets and analyze their function by the network pharmacology method, and build ingredients-targets-channel network pharmacological model, in order to reveal potential pathways and mechanisms of Xiao Xianxiongtang for CHD treatment. Method::Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) was used to obtain components, and CHD targets over Xiao Xianxiongtang were predicted by using Swiss Target Prediction reverse pharmacophore matching method. CHD targets which Food and Drug Administration (FDA) approved were collected from Therapeutic Target Database (TTD), Drugbank and Disease-gene Net databases (DisGeNET). Wenn diagram was used to obtain the correlation intersection.Target characteristics were analyzed with GEO2R online, Reactome FI was used to analyze the enrichment of target pathways, and Cytoscape software was used to construct the " component-target-pathway" network. Result::Network analysis showed that Xiao Xianxiongtang treated CHD by regulating 24 target proteins through 25 therapeutic components, and acting on 21 specific pathways and 4 biological processes.According to the multiple gene chip analysis of GEO2R online, there were up-down-regulated differences in the targets, including 11 up targets and 13 down targets. Conclusion::Xiao Xianxiongtang treats CHD by involving the biological processes through berberine and flavonoid groups of Coptidis Rhizoma, nucleosides and organic acids of Arum ternatum Thunb, stigmasterols and flavonoids of Trichosanthes kirilowii Maxim, such as gene expression, metabolism and protein metabolism, adjusting the gene expressions of relevant target proteins, regulating gene transcription pathways, such as biological oxidation reaction and lipid and lipoprotein metabolism, insulin-like growth factor binding protein (IGFBPs) of insulin-like growth factor (IGF) transshipment and intake, and the degradation of extracellular matrix signaling pathways.
ABSTRACT
Objective To explore the correlation of circRNAs' expression level to the negative-and positive symptoms of patients with schizophrenia (SZ).Methods Gene chip screening was performed with the peripheral blood samples from each five of SZ patients and normal controls.Nine circRNAs showing differentiate expression were confirmed,and further verification was done by real-time fluorescence quantitative PCR in 102 SZ patients and 103 normal controls.All the SZ patients were assessed with Positive and Negative Symptom Scale (PANSS).Results It was revealed that the expression levels of circRNA_102101,circRNA_102315,circRNA_104597,circRNA_101835 and circRNA_101836 were significantly down-regulated (P＜0.01 or P＜0.05),and circRNA_103102 and circRNA_103704 were up-regulated in SZ group (P＜0.01).The ACT value of circRNA_102101 and circRNA_103102 was positively correlated to the positive symptoms (P＜0.01 or P＜0.05),and the ACT value of circRNA_103704 also showed positive correlation with positive symptoms and general psychopathological symptoms (P＜0.01 or P＜0.05).The ACT values of circRNA_102101,circRNA_103102,circRNA_102315,circRNA_103704 and circRNA_102802 were correlated with thinking disorder (P＜0.01 or P＜0.05),and the ACT values of circRNA_102101,circRNA_103102,circRNA_104597,circRNA_103704 and circRNA_102802 were correlated with the activation (P＜0.01 or P＜0.05).The ACT values of circRNA_102101,circRNA_103102,circRNA_103704 and circRNA_102802 were positively correlated with paranoid (P＜0.01 or P＜0.05),and of circRNA_102101,circRNA_103102,circRNA_103704 and circRNA_102802 were markedly correlated with assault (P＜0.01 or P＜0.05).Therefore,circRNA_103704 was chosen into regressive equation of positive symptoms (P＜0.01),and circRNA_103704 and circRNA_102315 were chosen into regressive equation of general pathological findings (P＜0.01 or P＜0.05).Conclusion The expression levels of circRNA_103704 and circRNA_103102 are obviously up-regulated in SZ patients than in normal controls,and markedly correlated with the negative and positive SZ symptoms,so might be the dominant regulatory factors in the pathological process of schizophrenia.