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Exploring therapy transport from implantable medical devices using experimentally informed computational methods.

Lesley Trask1,2, Niamh A Ward1,2, Ruth Tarpey1,3,4

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Implantable devices face reduced therapy release due to fibrous capsule formation. Local fluid flow, including pulsatile regimens, can counteract this barrier, improving drug delivery for conditions like diabetes.

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Area of Science:

  • Biomedical Engineering
  • Biomaterials Science
  • Computational Biology

Background:

  • Implantable medical devices aim for localized therapy delivery but face challenges.
  • Foreign body response (FBR) forms a fibrous capsule, hindering diffusion and causing device failure.
  • Overcoming diffusion barriers is crucial for effective long-term function of implantable therapies.

Purpose of the Study:

  • To model the impact of fibrous capsule formation on therapy release from implantable devices.
  • To investigate the potential of local fluid flow to enhance therapy transport and counteract FBR.
  • To evaluate both continuous and pulsatile flow regimens for improved drug delivery.

Main Methods:

  • Utilized experimentally informed inputs for computational modeling.
  • Characterized fibrous capsule changes over time post-implantation.
  • Quantified the effect of capsule formation on insulin release using simulations.
  • Explored fluid flow strategies to mitigate diffusion barriers.

Main Results:

  • The computational model accurately predicted decreased insulin release over time due to FBR.
  • Local fluid flow was shown to counteract diffusion barriers imposed by the fibrous capsule.
  • Pulsatile flow regimens demonstrated potential to achieve similar benefits to continuous flow.
  • The model provides a tool to predict and address FBR-related release issues.

Conclusions:

  • Fibrous capsule formation significantly impairs therapy release from implantable devices.
  • Incorporating local fluid flow is a promising strategy to enhance therapeutic efficacy.
  • Pulsatile flow offers a practical approach to overcome diffusion limitations.
  • This modeling approach can guide the design of next-generation implantable therapeutic devices.