Evidence map›Paper›PMID 36629824›Full record

ReviewCryo letters

A guide to successful mL to L scale vitrification and rewarming.

L Gangwar, S S Phatak, M Etheridge, J C Bischof

Open access · greenAbstract readReview
In one paragraph

Review in Cryo letters. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Advanced Rewarming Technologies for Cryopreservation.Methods in molecular biology (Clifton, N.J.) · 2026
    Review
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  3. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

L GangwarDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN, 55455 USA.
S S PhatakDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN, 55455 USA.
M EtheridgeDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN, 55455 USA.
J C BischofDepartment of Mechanical Engineering; Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, 55455 USA. bischof@umn.edu.
University of Minnesota · US

Funding

Organ banking for transplant—kidney cryopreservation by vitrification and novel nanowarming technologyR01DK117425 · NIDDK · UNIVERSITY OF MINNESOTA · PI JOHN C BISCHOF, Erik Brian Finger · 2018 to 2026
$4.9M
Breakthrough Tissue and Organ Preservation and Transplantation Using Scaled-Up Nanowarming TechnologyR01HL135046 · NHLBI · UNIVERSITY OF MINNESOTA · PI BISCHOF, JOHN C, FINGER, ERIK BRIAN · 2017 to 2020
$2.6M
NHLBI NIH HHS R01 HL135046NIDDK NIH HHS R01 DK117425
6 · The paper itself

Abstract

Cryopreservation by vitrification to achieve an "ice free" glassy state is an effective technique for preserving biomaterials including cells, tissues, and potentially even whole organs. The major challenges in cooling to and rewarming from a vitrified state remain ice crystallization and cracking/fracture. Ice crystallization can be inhibited by the use of cryoprotective agents (CPAs), though the inhibition further depends upon the rates achieved during cooling and rewarming. The minimal rate required to prevent any ice crystallization or recrystallization/devitrification in a given CPA is called the critical cooling rate (CCR) or critical warming rate (CWR), respectively. On the other hand, physical cracking is mainly related to thermomechanical stresses, which can be avoided by maintaining temperature differences below a critical threshold. In this simplified analysis, we calculate deltaT as the largest temperature difference occurring in a system during cooling or rewarming in the brittle/glassy phase. This deltaT is then used in a simple "thermal shock equation" to estimate thermal stress within the material to decide if the material is above the yield strength and to evaluate the potential for fracture failure. In this review we aimed to understand the limits of success and failure at different length scales for cryopreservation by vitrification, due to both ice crystallization and cracking. Here we use thermal modeling to help us understand the magnitude and trajectory of these challenges as we scale the biomaterial volume for a given CPA from the milliliter to liter scale. First, we solved the governing heat transfer equations in a cylindrical geometry for three common vitrification cocktails (i.e., VS55, DP6, and M22) to estimate the cooling and warming rates during convective cooling and warming and nanowarming (volumetric heating). Second, we estimated the temperature difference deltaT and compared it to a tolerable threshold (deltaTmax) based on a simplified "thermal shock" equation for the same cooling and rewarming conditions. We found, not surprisingly, that M22 achieves vitrification more easily during convective cooling and rewarming for all volumes compared to VS55 or DP6 due to its considerably lower CCR and CWR. Further, convective rewarming (boundary rewarming) leads to larger temperature differences and smaller rates compared to nanowarming (volumetric rewarming) for all CPAs with increasing failure at larger volumes. We conclude that as more and larger systems are vitrified and rewarmed with standard CPA cocktails, this work can serve as a practical guide to successful implementation based on the characteristic length (volume/surface area) of the system and the specific conditions of cooling and warming. doi.org/10.54680/fr22610110112.

Indexed as

CryopreservationVitrificationCryoprotective AgentsHot TemperatureRewarmingCryoprotective Agents

Identifiers

PMID36629824
PMCPMC10217567
OpenAlexW4315620864

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.