Mouse anti-Human GIP monoclonal antibody

Two phases liquid systems composed by vegetable oil, biodiesel, fatty acids (FAs), glycerol, low molecular weight alcohols, and water are present in most of the biodiesel production process stages, including oil refining, free FAs esterification, transesterification, biodiesel and glycerol-rich phases separation and biodiesel refining by water washing. For that reason, the correct prediction of the liquid-liquid equilibrium (LLE) is a key-factor for an accurate process understanding. In this work, a new set of group interaction parameters (GIP) for the UNIFAC model that describes the LLE for all the systems involved in biodiesel production was correlated and validated. A database including 1414 LLE fie lines from 97 references was constructed and employed to correlate the GIP using a genetic algorithm. These parameters describe the LLE involved in the correlation process with an average deviation up to 2.07%. Additionally, a sensitivity analysis using the proposed GIP was performed to understand the effect of the molecular structure on the LLE behavior for the studied systems. Results showed that composition of the distributed component (alcohol, fatty acid or biodiesel) in both phases depends on the number of carbon atoms, unsaturated bonds and hydroxyl groups in the oleochemicals conforming the system. The variable with the highest incidence in the sensibility analysis was the distributed component overall mass fraction, followed by the alcohol length chain.

Introduction Hepatic insulin clearance (HIC) is an important pathophysiology of type 2 diabetes. HIC was reported to decrease in patients with type 2 diabetes and metabolic syndrome. However, hyperglycemia was suggested to enhance HIC, and it is not known whether poorly controlled diabetes increases HIC in patients with type 2 diabetes. We investigated whether HIC was increased in patients with poorly controlled diabetes, and whether HIC was associated with insulin resistance and incretins. Research design and methods We performed a meal tolerance test and the hyperinsulinemic-euglycemic clamp in 21 patients with type 2 diabetes. We calculated the postprandial C-peptide area under the curve (AUC)-to-insulin AUC ratio as the HIC; measured fasting and postprandial glucagon-like peptide-1 (GLP-1), glucose-dependent insulinotropic polypeptide (GIP) and glucagon levels and analyzed serum adiponectin and zinc transporter-8 (ZnT8) gene polymorphism. Results The HIC significantly correlated with glycated hemoglobin (HbA1c) (r_S=0.58, p<0.01). In patients with high HIC above the median of 6.5, the mean HbA1c was significantly higher compared with low HIC below the median. Homeostatic model assessment (HOMA)-beta (r_S=-0.77, p<0.01) and HOMA-IR (r_S=-0.66, p<0.005) were correlated with HIC. The M/I value in the clamp study was correlated with HIC. GLP-1-AUC and GIP-AUC were not correlated with HIC. Glucagon-AUC was negatively correlated with HIC, but there were no significant differences between the high and low HIC groups. Adiponectin was positively correlated with HIC. The ZnT8 gene polymorphism did not affect HIC. Conclusions These results suggest that HIC was increased in patients with high HbA1c type 2 diabetes, low insulin secretion, low insulin resistance and high adiponectin conditions.