Use of membrane transport models to design cryopreservation procedures for oocytes.

Anim Reprod Sci

Biostabilization Laboratory - Lower Saxony Centre for Biomedical Engineering, Implant Research and Development, Hannover, Germany; Unit for Reproductive Medicine - Clinic for Horses, University of Veterinary Medicine Hannover, Hannover, Germany. Electronic address:

Published: August 2024

AI Article Synopsis

  • * This review discusses how preservation strategies can be strategically designed, examines how oocytes react to cryoprotective agent (CPA) loading and cooling, and compiles important biophysical properties and models used in the process.
  • * The paper provides simulations that highlight optimal cooling rates and effective protocols for CPA exposure during both slow cooling and vitrification, suggesting that the timing and conditions of these processes significantly impact oocyte viability.

Article Abstract

Oocyte cryopreservation is increasingly being used in reproductive technologies for conservation and breeding purposes. Further development of oocyte cryopreservation techniques requires interdisciplinary insights in the underlying principles of cryopreservation. This review aims to serve this purpose by: (1) highlighting that preservation strategies can be rationally designed, (2) presenting mechanistic insights in volume and osmotic stress responses associated with CPA loading strategies and cooling, and (3) giving a comprehensive listing of oocyte specific biophysical membrane characteristics and commonly used permeation model equations. It is shown how transport models can be used to simulate the behavior of oocytes during cryopreservation processing steps, i.e., during loading of cryoprotective agents (CPAs), cooling with freezing as well as vitrification, warming and CPA unloading. More specifically, using defined cellular and membrane characteristics, the responses of oocytes during CPA (un)loading were simulated in terms of temperature- and CPA type-and-concentration-dependent changes in cell volume and intracellular solute concentration. In addition, in order to determine the optimal cooling rate for slow programmable cooling cryopreservation, the freezing-induced cell volume response was simulated at various cooling rates to estimate rates with tolerable limits. For vitrification, special emphasis was on prediction of the timing of reaching osmotic tolerance limits during CPA exposure, and the need to use step-wise CPA addition/removal protocols. In conclusion, we present simulations and schematic illustrations that explain the timing of events during slow cooling cryopreservation as well as vitrification, important for rationally designing protocols taking into account how different CPA types, concentrations and temperatures affect the oocyte.

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http://dx.doi.org/10.1016/j.anireprosci.2024.107536DOI Listing

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