Recombinant exendin 4 (Uni-Bio Science)

Complications of diabetes are the main cause of death and disability in diabetic patients. Cardiovascular diseases, especially diabetic cardiomyopathy, are one of the major complications and causes of death in type 2 diabetes. Peptide drugs have a better effect on improving cellular oxidative damage, reducing tissue inflammation and inhibiting intracellular calcium overload. The application of nanotechnology to the preparation of peptide drugs and myocardial injury can effectively improve myocardial stun, arrhythmia and myocardial systolic dysfunction in patients with type 2 diabetes. The use of nanotechnology to develop more stable Glucagon-like peptide 1 analogues or sustained-release preparations, improve patient compliance and improve the efficacy of diabetes, is of great significance for the prevention and treatment of diabetic cardiomyopathy. Therefore, this study used nanotechnology to prepare PLGA-GLP-1 nanoparticles using polyglycolic acid glycolic acid as a drug carrier, which achieved long-acting drug and its morphology by transmission electron microscopy. At the same time, this study explored the anti-cardiomyocyte injury and anti-myocardial damage of PLGA-GLP-1 nanocomposite peptide and its molecular mechanism by using animal models and cell models. Experimental studies have shown that PLGA-GLP-1 nanocomposite peptide has a protective effect on myocardial injury in diabetic rats. Its mechanism is related to the PLGA-GLP-1 nanocomposite peptide enhancing the body’s antioxidant capacity, anti-cardiomyocyte apoptosis, and promoting mitochondrial DNA repair in cardiomyocytes.

To investigate the population pharmacokinetics of lyophilized recombinant glucagon-like peptide-1 receptor agonist (rE-4) in Chinese patients with type 2 diabetes mellitus (T2DM) for plasma concentration estimation and individualized treatment.

Twelve patients with T2DM were enrolled to receive subcutaneous injections of rE-4 at 5 µg twice daily for 84 days. Administration dosage was adjusted from 5 µg to 10 µg twice daily at day 29 in case of glycated albumin (GA) ≥ 17%. The population pharmacokinetic model was developed in the nonlinear mixed-effects modeling software NONMEM.

The data were best described by a two-compartment model with first-order absorption and elimination. The outcome parameters were as follows: apparent clearance (CL/F) 6.67 L/h, apparent distribution volume of central compartment (V_c/F) 19.4 L, absorption rate constant (K_a) 1.39 h^-1, apparent distribution volume of peripheral compartment (V_p/F) 22.6 L, intercompartmental clearance (Q/F) 1.28 L/h. The interindividual variabilities for CL/F, V_c/F, K_a, and Q/F were 64.4%, 57.7%, 45.5%, and 153.3%, respectively. The intra-individual variability of proportional error model was 41.7%. No covariate was screened out that showed significant influence on the model parameters.

The established two-compartment model with first-order absorption and elimination successfully described the pharmacokinetic characteristics of rE-4 in Chinese patients with T2DM.
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