Optimization and characterization of stable lipid-based, oxygen-filled microbubbles by mixture design

Area of Science:

• Biomedical Engineering
• Materials Science
• Critical Care Medicine

Background:

• Tissue hypoxia is a critical factor in cellular injury and death during severe illnesses.
• Lipid-based oxygen microbubbles (LOMs) offer a potential therapeutic strategy for delivering oxygen and preventing organ damage.
• Current LOM formulations face challenges with polydispersity and shelf-life, hindering clinical translation.

Purpose of the Study:

• To optimize lipid-based oxygen microbubble (LOM) formulations for improved stability and reduced polydispersity.
• To investigate the impact of excipient proportions on microbubble characteristics using mixture response surface methodology (mRSM).
• To enhance the translational potential of LOMs for treating conditions like systemic hypoxemia.

Main Methods:

• Utilized mixture response surface methodology (mRSM) to systematically vary excipient proportions.
• Analyzed the effects of formulation changes on microbubble diameter and product loss.
• Employed a reduced Scheffé linear mixture model for data analysis.

Main Results:

• Identified optimal formulations using 1,2-distearoyl-sn-glycero-3-phosphocholine, corn syrup, and water.
• Achieved micron-sized microbubbles with low polydispersity indices.
• Demonstrated decreased product loss over a 30-day storage period at room temperature compared to previous formulations.
• Confirmed similar oxygen release kinetics in optimized LOMs.

Conclusions:

• Optimized LOM formulations exhibit enhanced stability and improved physical characteristics.
• The developed LOMs show promise for more effective oxygen delivery in critical care settings.
• This study provides a pathway for the clinical translation of LOM-based therapies for hypoxemia.