生物利用度
车辆段
化学
药代动力学
肽
药物输送
体内
药理学
输送系统
赛马鲁肽
艾塞那肽
限制
泊洛沙姆
胰高血糖素样肽-1
体外
生物医学工程
控制释放
药效学
体内分布
加药
组织工程
寡肽
毒品携带者
药品
作者
Changxin Dong,Andrea I. d’Aquino,Samya Sen,Alakesh Alakesh,Carolyn K. Jons,Noah Eckman,Christian M. Williams,Leslee T. Nguyen,Jerry Yan,Olivia M. Saouaf,Ye Eun Song,Ian A. Hall,Katie Lu,Manoj K. Manna,Sara Kapasi,Sai Anahitha Kottamasu,Tatum Wilhelm,Vanessa M. Doulames,John H. Klich,Wencke Reineking
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2026-05-18
标识
DOI:10.64898/2026.05.17.725768
摘要
Controlled release systems for subcutaneous peptide delivery often exhibit a pronounced initial burst release followed by inadequate maintenance of therapeutic exposure, limiting depot lifetime and increasing pharmacokinetic variability. Here, we engineer a dynamic, injectable hydrogel depot technology for months-long delivery of lipidated peptides. Using semaglutide as a model, we establish a modular formulation framework integrating: (i) formulation-driven tuning of depot mechanics to control release kinetics, (ii) cargo complexation strategies leveraging hydrophobic and multivalent ion-mediated interactions, and (iii) oxidative stabilization through sacrificial antioxidant excipients. We evaluated depot performance by rheology, in vitro cargo release, and in vivo pharmacokinetic and pharmacodynamic studies in rodents. Optimized formulations sustained semaglutide exposure for over six weeks from a single administration with two-fold reduction in peak-to-trough exposure and comparable total bioavailability relative to daily dosing, resulting in improved glucose control, weight regulation, and preservation of pancreatic islet content. These results suggest potential for quarterly dosing in humans. Together, this work establishes integrated and generalizable structure-property-performance relationships that account for cargo-matrix and cargo-excipient interactions across burst, diffusion, and erosion regimes to inform a practical formulation framework for engineering long-acting depots for sustained peptide delivery.
科研通智能强力驱动
Strongly Powered by AbleSci AI