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Transferrin fusion technology: a novel approach to prolonging biological half-life of insulinotropic peptides.

ABSTRACT: Fusion proteins made up of glucagon-like peptide 1 (GLP-1) and exendin-4 (EX-4) fused to a nonglycosylated form of human transferrin (GLP-1-Tf or EX-4-Tf) were produced and characterized. GLP-1-Tf activated the GLP-1 receptor, was resistant to inactivation by peptidases, and had a half-life of approximately 2 days, compared with 1 to 2 min for native GLP-1. GLP-1-Tf retained the acute, glucose-dependent insulin-secretory properties of native GLP-1 in diabetic animals and had a profound effect on proliferation of pancreatic beta-cells. In addition, Tf and the fusion proteins did not cross the blood-brain-barrier but still reduced food intake after peripheral administration. EX-4-Tf proved to be as effective as EX-4 but had longer lived effects on blood glucose and food intake. This novel transferrin fusion technology could improve the pharmacology of various peptides.

SUBMITTER: Kim BJ

PROVIDER: S-EPMC2939671 | biostudies-literature | 2010 Sep

REPOSITORIES: biostudies-literature

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Transferrin fusion technology: a novel approach to prolonging biological half-life of insulinotropic peptides.

Kim Byung-Joon BJ Zhou Jie J Martin Bronwen B Carlson Olga D OD Maudsley Stuart S Greig Nigel H NH Mattson Mark P MP Ladenheim Ellen E EE Wustner Jay J Turner Andrew A Sadeghi Homayoun H Egan Josephine M JM

The Journal of pharmacology and experimental therapeutics 20100524 3

Fusion proteins made up of glucagon-like peptide 1 (GLP-1) and exendin-4 (EX-4) fused to a nonglycosylated form of human transferrin (GLP-1-Tf or EX-4-Tf) were produced and characterized. GLP-1-Tf activated the GLP-1 receptor, was resistant to inactivation by peptidases, and had a half-life of approximately 2 days, compared with 1 to 2 min for native GLP-1. GLP-1-Tf retained the acute, glucose-dependent insulin-secretory properties of native GLP-1 in diabetic animals and had a profound effect on ...[more]

PMID: 20498254

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Project description:BackgroundIn past, a number of peptides have been reported to possess highly diverse properties ranging from cell penetrating, tumor homing, anticancer, anti-hypertensive, antiviral to antimicrobials. Owing to their excellent specificity, low-toxicity, rich chemical diversity and availability from natural sources, FDA has successfully approved a number of peptide-based drugs and several are in various stages of drug development. Though peptides are proven good drug candidates, their usage is still hindered mainly because of their high susceptibility towards proteases degradation. We have developed an in silico method to predict the half-life of peptides in intestine-like environment and to design better peptides having optimized physicochemical properties and half-life.ResultsIn this study, we have used 10mer (HL10) and 16mer (HL16) peptides dataset to develop prediction models for peptide half-life in intestine-like environment. First, SVM based models were developed on HL10 dataset which achieved maximum correlation R/R2 of 0.57/0.32, 0.68/0.46, and 0.69/0.47 using amino acid, dipeptide and tripeptide composition, respectively. Secondly, models developed on HL16 dataset showed maximum R/R2 of 0.91/0.82, 0.90/0.39, and 0.90/0.31 using amino acid, dipeptide and tripeptide composition, respectively. Furthermore, models that were developed on selected features, achieved a correlation (R) of 0.70 and 0.98 on HL10 and HL16 dataset, respectively. Preliminary analysis suggests the role of charged residue and amino acid size in peptide half-life/stability. Based on above models, we have developed a web server named HLP (Half Life Prediction), for predicting and designing peptides with desired half-life. The web server provides three facilities; i) half-life prediction, ii) physicochemical properties calculation and iii) designing mutant peptides.ConclusionIn summary, this study describes a web server 'HLP' that has been developed for assisting scientific community for predicting intestinal half-life of peptides and to design mutant peptides with better half-life and physicochemical properties. HLP models were trained using a dataset of peptides whose half-lives have been determined experimentally in crude intestinal proteases preparation. Thus, HLP server will help in designing peptides possessing the potential to be administered via oral route (http://www.imtech.res.in/raghava/hlp/).

Dataset Information

Transferrin fusion technology: a novel approach to prolonging biological half-life of insulinotropic peptides.

Publications

Transferrin fusion technology: a novel approach to prolonging biological half-life of insulinotropic peptides.

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