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Tissue engineering of a bioartificial pancreas: modeling the cell environment and device function
1School of Chemical Engineering, Georgia Institute of Technology, Atlanta 30332-0100, USA.
Biotechnology Progress
|March 1, 1995
Summary
This study models bioartificial pancreas devices using alginate/poly(L-lysine) microbeads with insulin-secreting cells. The model optimizes artificial tissue design for endocrine disease treatment, like diabetes, by predicting nutrient delivery and insulin response.
Area of Science:
- Biomedical Engineering
- Endocrinology
- Materials Science
Background:
- Cell-based implantable artificial tissues offer promising long-term treatment for endocrine diseases, notably diabetes.
- Bioartificial pancreas devices, utilizing alginate microbeads encapsulated by a poly(L-lysine) membrane, aim to immunoprotect insulin-secreting cells while allowing nutrient exchange.
Purpose of the Study:
- To develop and analyze a mechanistic model for alginate/poly(L-lysine) microbeads containing insulin-secreting cells.
- To optimize the design of artificial pancreatic devices for effective nutrient supply and rapid secretory response.
Main Methods:
- Construction and analysis of a mathematical model simulating diffusion and cellular consumption/production within microbeads.
- Measurement of effective diffusivities of compounds through the polymer matrix with entrapped cells.
- Modeling of glucose and oxygen consumption kinetics and insulin secretion.
Main Results:
- The model predicted nutrient and metabolite concentration profiles and secretory responses based on bead size and cell loading.
- Evaluated optimal bead size and cell density for adequate cell nourishment and rapid responsiveness.
- Demonstrated that cell hypersensitivity to glucose directly impacts microbead responsiveness.
Conclusions:
- Mechanistic models with accurate parameter values are crucial for optimizing artificial tissue design.
- The developed model aids in characterizing artificial tissue behavior for restoring in vivo endocrine function.
- This approach supports the advancement of bioartificial pancreas technology for diabetes management.