To develop novel long-acting antidiabetics with improved therapeutic efficacy, two glucagon-like peptide-1 (GLP-1) analogs were constructed through the hybridization of key sequences of GLP-1, xenGLP-1B, exendin-4, and lixisenatide. Hybrids 1 and 2 demonstrated enhanced in vitro and in vivo biological activities and were further site-specifically lipidized at lysine residues to achieve prolonged duration of action and less frequent administration. Compared with their native peptides, compounds 3-6 showed similar in vitro activities but impaired in vivo acute hypoglycemic potencies due to decreased aqueous solubility and retarded absorption in vivo. To circumvent these issues, compound 3 (xenoglutide) was selected to be self-associated with sterically stabilized micelles (SSM). The α-helix and solubility of xenoglutide were significantly improved after self-associated with SSM. Notably, the improved physicochemical characteristics of xenoglutide-SSM led to revival of acute hypoglycemic ability without affecting its long-term glucose-lowering activity. Most importantly, preclinical studies demonstrated improved therapeutic effects and safety of xenoglutide-SSM in diabetic db/db mice. Our work suggests the SSM incorporation as an effective approach to improve the pharmacokinetic and biological properties of hydrophobicity peptide drugs. Furthermore, our data clearly indicate xenoglutide-SSM as a novel nanomedicine for the treatment of type 2 diabetics.
Keyphrases
- type diabetes
- fatty acid
- cancer therapy
- drug induced
- drug delivery
- respiratory failure
- wastewater treatment
- glycemic control
- mesenchymal stem cells
- metabolic syndrome
- adipose tissue
- ionic liquid
- insulin resistance
- blood pressure
- machine learning
- blood glucose
- intensive care unit
- bone marrow
- wound healing
- single molecule
- aortic dissection
- skeletal muscle
- data analysis
- mechanical ventilation
- drug release
- acute respiratory distress syndrome
- transcription factor
- cell free
- nucleic acid
- replacement therapy