Controlled release of tethered molecules via engineered hydrogel degradation: model development and validation

Area of Science:

• Biomaterials Science
• Polymer Chemistry
• Computational Modeling

Background:

• Hydrogels are crucial for drug delivery and tissue regeneration.
• Understanding hydrogel degradation is key to controlling therapeutic release.
• Previous models predicted swelling but not protein release.

Purpose of the Study:

• To extend a statistical-co-kinetic model to predict protein release from degradable hydrogels.
• To validate the model using release studies of a bound fluoroscopic probe.
• To identify how network parameters influence degradation and release profiles.

Main Methods:

• Developed a statistical-co-kinetic model incorporating bond cleavage kinetics and network characteristics.
• Modeled hydrolytic and enzymatic degradation of hydrogels formed via Michael-type addition.
• Validated the model by comparing predicted and experimental release of a covalently bound probe.

Main Results:

• The model accurately predicts protein release rates based on hydrogel network parameters.
• Macromer functionality and crosslinking efficiency significantly impact swelling and release profiles.
• The model identifies how network parameters affect hydrogel dissolution and concurrent protein release.

Conclusions:

• The enhanced model is a comprehensive tool for optimizing degradable hydrogels.
• Tailoring network parameters allows control over drug delivery and tissue regeneration applications.
• This approach facilitates the design of hydrogels with predictable degradation and release kinetics.