Numerical investigation of a novel spiral wound membrane sandwich design for an implantable bioartificial pancreas

Sarver, Jeffrey; Fournier, Ronald L.

doi:10.1016/0010-4825(90)90033-l

Cited by 13 publications

(4 citation statements)

References 47 publications

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“…7). Finally, more recent models (12–14) allowed solute concentration to vary in a compartment, but only Pillarella model (13) studied multidirectional changes.…”

Section: Glucose and Insulin Transfer Models In A Vascular Devicementioning

confidence: 99%

Contributions of a Finite Element Model for the Geometric Optimization of an Implantable Bioartificial Pancreas

Dulong

Legallais

2002

Artificial Organs

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The extravascular implantation of islets of Langerhans immunoprotected within a permselective membrane is a promising method to treat diabetes mellitus. However, oxygen limitation due to purely diffusive solute transport was considered to provoke tissue necrosis and graft failure. We built a solute transport model based on a finite element method aiming at optimizing the hollow fiber geometry. With a low islet density, the influence of oxygen axial flux inside the fiber was underlined and a characteristic length for oxygen supply was introduced. This study allowed the conclusion that islet density must be adapted to the fiber diameter chosen for implantation.

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“…7). Finally, more recent models (12–14) allowed solute concentration to vary in a compartment, but only Pillarella model (13) studied multidirectional changes.…”

Section: Glucose and Insulin Transfer Models In A Vascular Devicementioning

confidence: 99%

Contributions of a Finite Element Model for the Geometric Optimization of an Implantable Bioartificial Pancreas

Dulong

Legallais

2002

Artificial Organs

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“…There have been efforts in implementing tissue engineered analogues outside the body, while delivering the activities of functional cells by perfusing a patient's blood through the extracorporeal tissue analogue. Such extracorporeal devices have been attempted for pancreatic cells encased in tubes and hepatocytes immobilized in a hollow‐fiber bioreactor for use as an insulin delivery device and bioartificial liver, respectively, as described in references 39–42. Despite the prospect of cell therapy, such extracorporeal devices may still find applications as a bridge to organ recovery or transplantation.…”

Section: Stem Cell Applicationsmentioning

confidence: 99%

Stem cell culture engineering – process scale up and beyond

Sharma

Raju

Sui

et al. 2011

Biotechnology Journal

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Advances in stem cell research and recent work on clinical trials employing stem cells have heightened the prospect of stem cell applications in regenerative medicine. The eventual clinical application of stem cells will require transforming cell production from laboratory practices to robust processes. Most stem cell applications will require extensive ex vivo handling of cells, from isolation, cultivation, and directed differentiation to product cell separation, cell derivation, and final formulation. Some applications require large quantities of cells in each defined batch for clinical use in multiple patients; others may be for autologous use and require only small-scale operations. All share a common requirement: the production must be robust and generate cell products of consistent quality. Unlike the established manufacturing process of recombinant protein biologics, stem cell applications will likely see greater variability in their cell source and more fluctuations in product quality. Nevertheless, in devising stem cell-based bioprocesses, much insight could be gained from the manufacturing of biological materials, including recombinant proteins and anti-viral vaccines. The key to process robustness is thus not only the control of traditional process chemical and physical variables, but also the sustenance of cells in the desired potency or differentiation state through controlling non-traditional variables, such as signaling pathway modulators.

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“…Analysis of contributions of convective and diffusive transport to insulin release lead to the realization that the membrane hydraulic blood permeability of diffusion chambers is the key for maintaining proper insulin secretion. [123][124][125][126][127][128] Likewise, a comprehensive nutrient and metabolic model was designed for bT3 cell line encapsulated in microcapsules. 16 Such models could be extended for following the fate of autoantigens released from the donor tissue and cytokines generated outside the device by macrophages.…”

Section: Mechanical and Transport Properties And Engineering Of Devicmentioning

confidence: 99%

Bioartificial Pancreas: Materials, Devices, Function, and Limitations

Prokop

2001

Diabetes Technology & Therapeutics

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The term "bioartificial endocrine pancreas" (BEP) was introduced by Anthony Sun in 1980. It was in 1968, however, that Thomas Chang proposed the use of microencapsulated islets as artificial beta-cells. By applying a semipermeable membrane on the top of microcapsules, a system can be produced that is impermeable to viable islet cells and large effector molecules of the immune system, thus providing a protection for transplanted islets against rejection. Since then, the term BEP has not often appeared in papers. Instead, the term "bioartificial pancreas" (BAP) has gained widespread use. In a broader sense, BAP would include an application of suitable endocrine cells and protective polymeric vehicles, but not necessarily providing a filtration barrier of precisely defined properties (e.g., cells injected into a gel of hyaluronate).

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Numerical investigation of a novel spiral wound membrane sandwich design for an implantable bioartificial pancreas

Cited by 13 publications

References 47 publications

Contributions of a Finite Element Model for the Geometric Optimization of an Implantable Bioartificial Pancreas

Contributions of a Finite Element Model for the Geometric Optimization of an Implantable Bioartificial Pancreas

Stem cell culture engineering – process scale up and beyond

Bioartificial Pancreas: Materials, Devices, Function, and Limitations

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