Model-Guided Design and Optimization of CPA Perfusion Protocols for Whole Organ Cryopreservation
Year: 2023
Type: article
Abstract: Vitrification could enable long-term organ preservation, but only after loading high-concentration, potentially toxic cryoprotective agents (CPAs) by perfusion. In this paper, we combine a two-compartment Krogh cylinder model with a toxicity cost function to theoretically optimize the loading of CPA (VMP) in rat kidneys as a model system. First, based on kidney perfusion experiments, we systematically derived the parameters for a CPA transport loading model, including the following: Vb = 86.0% (ra = 3.86 μm), Lp = 1.5 × 10–14 m3/(N·s), ω = 7.0 × 10–13 mol/(N·s), σ = 0.10. Next, we measured the toxicity cost function model parameters as α = 3.12 and β = 9.39 × 10–6. Combining these models, we developed an improved kidney-loading protocol predicted to achieve vitrification while minimizing toxicity. The optimized protocol resulted in shorter exposure (25 min or 18.5% less) than the gold standard kidney-loading protocol for VMP, which had been developed based on decades of empirical practice. After testing both protocols on rat kidneys, we found comparable physical and biological outcomes. While we did not dramatically reduce toxicity, we did reduce the time. As our approach is now validated, it can be used on other organs lacking defined toxicity data to reduce CPA exposure time and provide a rapid path toward developing CPA perfusion protocols for other organs and CPAs.
Source: Annals of Biomedical Engineering
Institutions: University of Minnesota, Leibniz University Hannover
Language: English
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,990
Awards: G2010549676, Breakthrough Tissue and Organ Preservation and Transplantation Using Scaled-Up Nanowarming Technology, G4417138849, G5646869461, G566055332, G7070051224, NSF Engineering Research Center for Advanced Technologies for Preservation of Biological Systems (ATP-Bio), G9000004659, G9000070347, G9000124872, G9000153306, G9000307990, G9000323750
OpenAlex ID: W4381715658
