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Battle of GLP-1 delivery technologies
Minzhi Yu1, Mason M Benjamin1, Santhanakrishnan Srinivasan2
1Department of Pharmaceutical Sciences, College of Pharmacy, University of Michigan, 428 Church St, Ann Arbor, MI 48109, United States of America.
Advanced Drug Delivery Reviews
|July 17, 2018
Summary
Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) for type 2 diabetes face rapid elimination challenges. This review analyzes half-life extension strategies impacting GLP-1 RA pharmacokinetics, safety, and commercial success.
Area of Science:
- Pharmacology
- Drug Delivery Systems
- Endocrinology
Background:
- Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are crucial for type 2 diabetes management.
- The market features six FDA-approved GLP-1 RAs, with ongoing development indicating intense competition.
- Rapid elimination necessitates effective half-life extension strategies for GLP-1 RAs.
Purpose of the Study:
- To review the scientific rationale behind various half-life extension strategies for GLP-1 RAs.
- To analyze the impact of these strategies on pharmacokinetics, pharmacodynamics, safety, and usability.
- To assess the commercial success factors influenced by drug delivery strategies for GLP-1 RAs.
Main Methods:
- Review of scientific literature on GLP-1 RAs and half-life extension techniques.
- Comparative analysis of approved and developing GLP-1 RA products.
- Assessment of pharmacokinetic and pharmacodynamic data related to different strategies.
Main Results:
- Multiple half-life extension strategies are employed, including PEGylation, fatty-acid conjugation, and fusion proteins.
- These strategies significantly alter GLP-1 RA pharmacokinetics and pharmacodynamics.
- Strategy selection impacts safety profiles, patient convenience, and market viability.
Conclusions:
- Half-life extension is critical for the clinical and commercial success of GLP-1 RAs.
- Understanding these strategies offers insights for developing other therapeutic peptides with prolonged action.
- Future GLP-1 RA development will likely focus on optimizing delivery for improved patient outcomes.
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