A toxicity cost function approach to optimal CPA equilibration in tissues

James D Benson1, Adam Z Higgins2, Kunjan Desai3

  • 1Department of Biology, University of Saskatchewan, Canada.

Cryobiology
|October 3, 2017
PubMed

Insights

Developing new computational models for tissue cryopreservation is crucial for transplantation and regenerative medicine. This study optimizes cryoprotective agent (CPA) protocols, showing that tailored approaches minimize toxicity and time, unlike one-size-fits-all methods.

Area of Science:

  • Biomedical Engineering
  • Regenerative Medicine
  • Cryobiology

Background:

  • Cryopreservation of tissues is vital for transplantation and regenerative medicine.
  • Current cryopreservation methods lack uniformity and struggle with arbitrary tissue types.
  • Computational models for tissue cryopreservation have historically been limited to explanatory approaches.

Purpose of the Study:

  • To develop a numerical approach for optimizing tissue cryopreservation protocols.
  • To adapt cell-based cryoprotective agent (CPA) equilibration damage models for tissue mass transport.
  • To minimize cell-based cumulative toxicity and osmotic gradient damage during tissue cryopreservation.

Main Methods:

  • Measured CPA (propylene glycol) diffusivity in human skin, fibroid, and myometrium tissues.
  • Developed a numerical model integrating CPA diffusivity with tissue mass transport.
  • Predicted and compared optimal multistep CPA equilibration protocols using computational simulations.

Main Results:

  • Propylene glycol diffusivities were determined for skin (0.6 × 10⁻⁶ cm²/s), fibroid (1.2 × 10⁻⁶ cm²/s), and myometrium (1.3 × 10⁻⁶ cm²/s).
  • Numerical predictions revealed distinct optimal protocols for minimizing CPA exposure time versus minimizing CPA toxicity.
  • "One size fits all" stepwise protocols are predicted to be less efficient and more toxic than tailored approaches.

Conclusions:

  • Tailored, multi-step CPA equilibration protocols are superior to uniform approaches for tissue cryopreservation.
  • Computational modeling provides a powerful tool for optimizing cryopreservation strategies.
  • This work advances the development of effective cryopreservation techniques for transplantation and regenerative medicine.

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