Human chemokine receptor CXCR3 (hCXCR3) antagonists have potential therapeutic applications as antivirus, antitumor, and anti-inflammatory agents. A novel virtual screening protocol, which combines pharmacophore-based and structure-based approaches, was proposed. A three-dimensional QSAR pharmacophore model and a structure-based docking model were built to virtually screen for hCXCR3 antagonists. The hCXCR3 antagonist binding site was constructed by homology modeling and molecular dynamics (MD) simulation. By combining the structure-based and ligand-based screenings results, 95% of the compounds satisfied either pharmacophore or docking score criteria and would be chosen as hits if the union of the two searches was taken. The false negative rates were 15% for the pharmacophore model, 14% for the homology model, and 5% for the combined model. Therefore, the consistency of the pharmacophore model and the structural binding model is 219/273 = 80%. The hit rate for the virtual screening protocol is 273/286 = 95%. This work demonstrated that the quality of both the pharmacophore model and homology model can be measured by the consistency of the two models, and the false negatives in virtual screening can be reduced by combining two virtual screening approaches.
Type 2 diabetic mellitus (T2DM), which is characterized by insulin resistance (IR), hyperglycemia and hyperlipidemia, is a comprehensive dysfunction of metabolism. The insulin receptor (INSR)/phosphoinositide 3-kinase (PI3K)/AKT signaling pathway is well acknowledged as a predominant pathway associated with glucose uptake; however, the effect of streptozotocin (STZ) plus a high fat and sugar diet (HFSD) on the proteins associated with this pathway requires further elucidation. In order to explore this effect, a T2DM rat model was constructed to investigate T2DM pathogenesis and potential therapeutic advantages. Rats were randomly divided into control and model groups, including normal diet (ND) and HFSD types. ND types were administered intraperitoneal (IP) injections of STZ (35 mg/kg) or a combination of STZ and alloxan monohydrate (AON) (40 mg/kg), whereas HFSD types were composed of HFSD pre-given, post-given and simul-given groups, and were modeled as follows: IP or intramuscular (IM) injection of STZ (35 mg/kg) or a combination of STZ and AON (40 mg/kg). Results indicated that, compared with controls, blood glucose, insulin, homeostatic model assessment-insulin resistance and total triglyceride were significantly elevated in groups with HFSD and modeling agents (P<0.05 or P<0.01), whereas total cholesterol and low-density lipoprotein levels were significantly elevated in groups simultaneously administered HFSD and modeling agents (P<0.05 or P<0.01), in addition to downregulation of the expression of insulin signaling pathway proteins in the liver, including INSR, PI3K, AKT1, phosphatidylinositol-5-phosphate 4-kinase type-2α (PIP5Kα) and glucose transporter (GLUT)2, and increased expression of inflammatory factors, including p38, tumor necrosis factor (TNF)α and interleukin (IL)6. Furthermore, compared with other two HFSD types including pre-given and post-given group, the simul-given group that received IM injection with STZ exhibited decreased expression levels of major insulin signal pathway proteins INSR, PI3K, AKT1, PIP5Kα, GLUT2 or GLUT4 in the liver and pancreas (P<0.05 or P<0.01), whereas the opposite was observed in the skeletal muscle. In addition, the protein expression levels of phosphorylated-p38, p38, IL6 and TNFα in the simul-given group that received IM injection with STZ were increased (P<0.05 or P<0.01), and histopathology also indicated inflammation in pancreas and liver. The present findings suggest that a low dose of STZ may partially impair the β cells of the pancreas, whereas long-term excess intake of HFSD may increase lipid metabolites, inhibit the insulin signaling pathway and activate the mitogen-activated protein kinase p38 signaling pathway. The combined action of STZ and AON may result in insulin resistance, which ultimately results in abnormalities in glucose and lipid metabolism. The present model, analogue to T2DM onset of humans, evaluated the medical effect on metabolic dysfunction and provides an insight into the underlining mechanism of IR.
Glycogen synthase kinase 3β (GSK-3β) is a potential therapeutic target for cancer, type-2 diabetes, and Alzheimer's disease. This paper proposes a new lead identification protocol that predicts new GSK-3β ATP competitive inhibitors with topologically diverse scaffolds. First, three-dimensional quantitative structure-activity relationship (3D QSAR) models were built and validated. These models are based upon known GSK-3β inhibitors, benzofuran-3-yl-(indol-3-yl) maleimides, by means of comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA). Second, 28 826 maleimide derivatives were selected from the PubChem database. After filtration via Lipinski's rules, 10 429 maleimide derivatives were left. Third, the FlexX-dock program was employed to virtually screen the 10 429 compounds against GSK-3β. This resulted in 617 virtual hits. Fourth, the 3D QSAR models predicted that from the 617 virtual hits, 93 compounds would have GSK-3β inhibition values of less than 15 nM. Finally, from the 93 predicted active hits, 23 compounds were confirmed as GSK-3β inhibitors from literatures; their GSK-3β inhibition ranged from 1.3 to 480 nM. Therefore, the hits rate of our virtual screening protocol is greater than 25%. The protocol combines ligand- and structure-based approaches and therefore validates both approaches and is capable of identifying new hits with topologically diverse scaffolds.
It has previously been demonstrated that curcumin possesses a hypocholesterolemic effect and potentiates numerous pharmacological effects of curcumin, however, the mechanisms underlying this hypocholesterolemic effect and the interaction between curcumin and piperine remain to be elucidated. In the present study, male Sprague-Dawley rats were fed on a high-fat diet (HFD) to establish a hyperlipidemia (HLP) model. Co-administration of curcumin plus piperine was found to decrease the levels of total cholesterol (TC), triglyceride (TG) and low-density lipoprotein cholesterol in the serum and liver, as well as increase the levels of fecal TC, TG and total bile acid, compared with administration of curcumin alone. Curcumin plus piperine also markedly increased the levels of high-density lipoprotein cholesterol. Furthermore, compared with administration of curcumin alone, administration of curcumin plus piperine resulted in a significant upregulation of the activity and gene expression of apolipoprotein AI (ApoAI), lecithin cholesterol acyltransferase (LCAT), cholesterol 7α-hydroxylase (CYP7A1) and low-density lipoprotein receptor (LDLR). In conclusion, these results indicated that co-administration of curcumin plus piperine potentiates the hypocholesterolemic effects of curcumin by increasing the activity and gene expression of ApoAI, CYP7A1, LCAT and LDLR, providing a promising combination for the treatment of HLP.
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