Hattie L. Ring’s research while affiliated with University of Minnesota, Duluth and other places

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Publications (33)


Vitrification and rewarming of magnetic nanoparticle-loaded rat hearts
  • Conference Paper

December 2022

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30 Reads

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1 Citation

Cryobiology

Bat-Erdene Namsrai

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Zhe Gao

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Zonghu Han

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[...]

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John C. Bischof


Impact of heart cannulation method on VS55 and sIONP loading and unloading in hearts. a) Schemes of type A and type B cannulation methods. Photos of hearts from left to right: pre‐sIONP loading, post‐sIONP loading, and post‐sIONP washout and a cut open heart post‐sIONP washout. b) Average perfusion resistance pressure of type A and B hearts during sIONP loading and removal and of a type B heart during VS55 loading and removal, and the VS55 concentration of the VS55 loading steps. n = 3. c) Fe concentration in the effluent from the heart compared to the loaded sIONP Fe concentration. n = 3. d) Fe concentration of loaded (p < 0.001) and washout (p = 0.0181) type A and type B hearts. Type A loaded n = 3, Type A washout n = 6, Type B loaded n = 5, Type B washout n = 5. e) Fe concentration in control heart, sIONP‐loaded heart, sIONP in muscle, and sIONP washed‐out type B heart. Control n = 7, sIONP loaded n = 5, sIONP in muscle n = 3, sIONP washout n = 5. The upper images are the corresponding T2*‐weighted GRE MRI images. The dark lines in the image are the Teflon scaffold used to secure the heart. p < 0.0001 for all group comparison except control versus washout.
Microcomputed tomography (μCT) images of experimental and control heart groups. From top to bottom: a control heart perfused with EC, a heart perfused with VS55, A type B heart after VS55 removal, a type A heart perfused with VS55 and sIONP, a type A heart after removal steps, a type B heart perfused with VS55 and sIONP, a type B heart after removal steps, and a type B heart after vitrification/nanowarming and removal steps. The left column is µCT images of hearts in HU 500–800 indicating the sIONP distribution in the hearts. The center column is µCT images of heart cross sections in HU 0–500, where the VS55 could be distinguished from EC and the residue of sIONPs could be detected in this HU region. The right column is the histograms of the µCT from all cross sections for each case. The x‐axis is HU, and the y‐axis is the percentage of total pixels. The signal from EC, VS55, and sIONP could be distinguished as shown in the histograms. The µCT data showed left ventricle distension in the type A heart. The type B heart showed better washout comparing to the type A heart.
Experimental and modeling data for successfully cooled hearts. a) Measured thermal history by the three probes placed during experimentation, compared with computer simulation results at the same locations (i.e., modeling). The control rate freezer temperature was held at −122 °C (1 °C higher than the Tg) for 25 min as the annealing step (orange line in the plot), when the temperature throughout the heart equilibrated before reaching Tg. b) Experimental and calculated cooling rates for the probes presented in (a). The blue region indicates the temperature region for particular danger from ice growth (−100 to −40 °C). c) Color map representing the temperature distribution of a heart during cooling. From left to right: the cooling chamber reached the temperature of −122 °C (before annealing), after thermal equilibration at −122 °C (after annealing), and close to equilibrium around −150 °C (storage).
Gross and µCT images of success and failure of cooled hearts. a) Photos of vitrified (transparent), cracked (arrows show the cracks) and devitrified (white indicates ice formation) hearts in VS55 and a vitrified heart in sIONP/VS55. b) μCT images of a sIONP/VS55 loaded heart vitrified in sIONP/VS55. No crack or ice crystal was observed in the µCT cross sections of the vitrified heart after cooling in sIONP/VS55. The cross‐sections are taken from bottom to top, and the displacement between the two cross‐sections is 1.33 mm in the z‐direction.
Experimental setup and data showing fast and uniform warming rates with nanowarming in comparison to convective warming. a) Illustration of a sample rewarmed in a RF coil. b) Temperature profiles of representative convectively warmed and nanowarmed hearts. The temperature difference which drives thermal stress was larger in convectively rewarmed heart than the nanowarmed heart. c) Warming rate in convectively warmed and nanowarmed hearts. n = 3. d) Maximum temperature difference between the fiber optic probes during rewarming in convectively warmed hearts and nanowarmed hearts. n = 3. Legends: Con‐LV (convectively cooled left ventricle), Con‐RV (convectively cooled right ventricle), Con‐surface (convectively cooled heart surface). NW‐LV (nanowarmed left ventricle), NW‐RV (nanowarmed right ventricle), and NW Surface (nanowarmed heart surface).

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Vitrification and Rewarming of Magnetic Nanoparticle‐Loaded Rat Hearts
  • Article
  • Full-text available

October 2021

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216 Reads

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46 Citations

To extend the preservation of donor hearts beyond the current 4–6 h, this paper explores heart cryopreservation by vitrification—cryogenic storage in a glass‐like state. While organ vitrification is made possible by using cryoprotective agents (CPA) that inhibit ice during cooling, failure occurs during convective rewarming due to slow and non‐uniform rewarming which causes ice crystallization and/or cracking. Here an alternative, “nanowarming”, which uses silica‐coated iron oxide nanoparticles (sIONPs) perfusion loaded through the vasculature is explored, that allows a radiofrequency coil to rewarm the organ quickly and uniformly to avoid convective failures. Nanowarming has been applied to cells and tissues, and a proof of principle study suggests it is possible in the heart, but proper physical and biological characterization especially in organs is still lacking. Here, using a rat heart model, controlled machine perfusion loading and unloading of CPA and sIONPs, cooling to a vitrified state, and fast and uniform nanowarming without crystallization or cracking is demonstrated. Further, nanowarmed hearts maintain histologic appearance and endothelial integrity superior to convective rewarming and indistinguishable from CPA load/unload control hearts while showing some promising organ‐level (electrical) functional activity. This work demonstrates physically successful heart vitrification and nanowarming and that biological outcomes can be expected to improve by reducing or eliminating CPA toxicity during loading and unloading.

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Vitrification and Nanowarming of Kidneys

August 2021

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545 Reads

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64 Citations

Vitrification can dramatically increase the storage of viable biomaterials in the cryogenic state for years. Unfortunately, vitrified systems ≥3 mL like large tissues and organs, cannot currently be rewarmed sufficiently rapidly or uniformly by convective approaches to avoid ice crystallization or cracking failures. A new volumetric rewarming technology entitled “nanowarming” addresses this problem by using radiofrequency excited iron oxide nanoparticles to rewarm vitrified systems rapidly and uniformly. Here, for the first time, successful recovery of a rat kidney from the vitrified state using nanowarming, is shown. First, kidneys are perfused via the renal artery with a cryoprotective cocktail (CPA) and silica-coated iron oxide nanoparticles (sIONPs). After cooling at −40 °C min⁻¹ in a controlled rate freezer, microcomputed tomography (µCT) imaging is used to verify the distribution of the sIONPs and the vitrified state of the kidneys. By applying a radiofrequency field to excite the distributed sIONPs, the vitrified kidneys are nanowarmed at a mean rate of 63.7 °C min⁻¹. Experiments and modeling show the avoidance of both ice crystallization and cracking during these processes. Histology and confocal imaging show that nanowarmed kidneys are dramatically better than convective rewarming controls. This work suggests that kidney nanowarming holds tremendous promise for transplantation.


Schematic of adiabatic, and non-adiabatic heating curves during the heating (coil on) and cooling (coil off) phases of a heat experiment. Common fitting time-frames to calculate SARv include: Time-Rise, Box-Lucas, Steady State, and Decay.
Effect of variation in SARv and RMSE using Box-Lucas and Time-Rise fitting as a function of SARv. Red circles indicate higher variation of SARv and RMSE caused by measurements performed in a sub-optimal heating range. The blue square indicates the range with a consistent SARv despite fitting method.
Evaluation and start time impact on SARv and RMSE. Plots A and B show the impact of evaluation time on SARv and RMSE when the start time is selected at 5s after heating. The SARv values are compared with the average SARv across all 12 fitting scenarios. A higher impact in both variation of SARv and RMSE is observed with Time-Rise fitting. Figure 3C evaluates the percentage difference in SAR between (1) SARv calculated excluding the first 5 s and (2) SARv calculated including t = 0-5 in the selected data range. Similarly, 3D evaluates the percentage difference in RMSE between these two cases. In this case, Box-Lucas fitting is observed to have larger variations in both SARv and RMSE than variations observed with Time-Rise fitting.
Repeatability of SARv measurement. Plot A shows the standard deviation of the replicate measurements as a function of evaluation time (using 5s start time) for SARv ≤ 0.1 W/mL. Plot B right shows the standard deviation of the replicate measurement as a function of evaluation time for SARv ≥ 0.1 W/mL. An increase in variation is observed at lower SARv. Furthermore, the R2 optimization results in more variable results than a statistically set evaluation time.
The impact of data selection and fitting on SAR estimation for magnetic nanoparticle heating

December 2020

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364 Reads

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24 Citations

Background Magnetic fluid heating has great potential in the fields of thermal medicine and cryopreservation. However, variations among experimental parameters, analysis methods and experimental uncertainty make quantitative comparisons of results among laboratories difficult. Herein, we focus on the impact of calculating the specific absorption rate (SAR) using Time-Rise and Box-Lucas fitting. Time-Rise assumes adiabatic conditions, which is experimentally unachievable, but can be reasonably assumed (quasi-adiabatic) only for specific and limited evaluation times when heat loss is negligible compared to measured heating rate. Box-Lucas, on the other hand, accounts for heat losses but requires longer heating. Methods Through retrospective analysis of data obtained from two laboratories, we demonstrate measurement time is a critical parameter to consider when calculating SAR. Volumetric SAR were calculated using the two methods and compared across multiple iron-oxide nanoparticles. Results We observed the lowest volumetric SAR variation from both fitting methods between 1–10 W/mL, indicating an ideal SAR range for heating measurements. Furthermore, our analysis demonstrates that poorly chosen fitting method can generate reproducible but inaccurate SAR. Conclusion We provide recommendations to select measurement time for data analysis with either Modified Time-Rise or Box-Lucas method, and suggestions to enhance experimental precision and accuracy when conducting heating experiments.




Preparation of Scalable Silica‐Coated Iron Oxide Nanoparticles for Nanowarming

January 2020

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1,101 Reads

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83 Citations

Cryopreservation technology allows long‐term banking of biological systems. However, a major challenge to cryopreserving organs remains in the rewarming of large volumes (>3 mL), where mechanical stress and ice formation during convective warming cause severe damage. Nanowarming technology presents a promising solution to rewarm organs rapidly and uniformly via inductive heating of magnetic nanoparticles (IONPs) preloaded by perfusion into the organ vasculature. This use requires the IONPs to be produced at scale, heat quickly, be nontoxic, remain stable in cryoprotective agents (CPAs), and be washed out easily after nanowarming. Nanowarming of cells and blood vessels using a mesoporous silica‐coated iron oxide nanoparticle (msIONP) in VS55, a common CPA, has been previously demonstrated. However, production of msIONPs is a lengthy, multistep process and provides only mg Fe per batch. Here, a new microporous silica‐coated iron oxide nanoparticle (sIONP) that can be produced in as little as 1 d while scaling up to 1.4 g Fe per batch is presented. sIONP high heating, biocompatibility, and stability in VS55 is also verified, and the ability to perfusion load and washout sIONPs from a rat kidney as evidenced by advanced imaging and ICP‐OES is demonstrated. Nanowarming is a new technology that could solve the technical challenge of volumetric rewarming of cryopreserved biological samples. With the aim of scaling up nanowarming technology from cell and simple tissues to a whole organ, a scalable silica‐coated iron oxide nanoparticle is synthesized and tested for cell nanowarming and organ perfusional loading and removal.


Imaging the distribution of iron oxide nanoparticles in hypothermic perfused tissues

December 2019

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136 Reads

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13 Citations

Purpose Herein, we evaluate the use of MRI as a tool for assessing iron oxide nanoparticle (IONP) distribution within IONP perfused organs and vascularized composite allografts (VCAs) (i.e., hindlimbs) prepared for cryopreservation. Methods Magnetic resonance imaging was performed on room‐temperature organs and VCAs perfused with IONPs and were assessed at 9.4 T. Quantitative T1 mapping and T2∗‐weighted images were acquired using sweep imaging with Fourier transformation and gradient‐echo sequences, respectively. Verification of IONP localization was performed through histological assessment and microcomputer tomography. Results Quantitative imaging was achieved for organs and VCAs perfused with up to 642 mMFe (36 mgFe/mL), which is above previous demonstrations of upper limit detection in agarose (35.7mMFe [2 mgFe/mL]). The stability of IONPs in the perfusate had an effect on the quality of distribution and imaging within organs or VCA. Finally, MRI provided more accurate IONP localization than Prussian blue histological staining in this system, wherein IONPs remain primarily in the vasculature. Conclusion Using MRI, we were able to assess the distribution of IONPs throughout organs and VCAs varying in complexity. Additional studies are necessary to better understand this system and validate the calibration between T1 measurements and IONP concentration.


Citations (24)


... In recent years, studies on organ and tissue cryopreservation have highlighted the importance of proper cryoprotectant addition. Contemporary cryoprotectants, like M22, VMP and VS55, contain any combination of the most commonly used cryoprotecting agents, ethylene glycol (EG) and DMSO [27], which have been used extensively in cryoprotection of human oocytes and zygotes [28], ovarian tissue [29], rat and rabbit kidneys [30,31], mouse hearts [32], and lamb cartilage [33]. ...

Reference:

Controlling Equilibrium Vitrification Using Electrical Impedance Spectroscopy
Vitrification and Rewarming of Magnetic Nanoparticle-Loaded Rat Hearts
  • Citing Article
  • December 2021

Cryobiology

... Sharma et al. loaded 10 mg Fe ml -1 sIONPs into the kidneys at a constant rate of 0.5 ml min -1 after CPA loading [31]. The average maximum temperature gradient within the kidneys during the nanowarming process reached 15.3 • C significantly below the stress-to-fracture temperature limit at 38 • C that the kidney could withstand the stress before it experiences fracture or failure in VS55. ...

Vitrification and Nanowarming of Kidneys
  • Citing Article
  • August 2021

Cryobiology

... The successful nanowarming of tissues [196] and small animal organs [157,197] has yielded encouraging results. In a recent study, Han et al. [159] successfully transplanted a nanowarmed, vitrified rat kidney that had been preserved for 100 days. ...

Vitrification and Rewarming of Magnetic Nanoparticle‐Loaded Rat Hearts

... But more interesting and promising remains the use of these novel nanotechnologies in cryopreservation of organs. The encouraging studies on rat livers, hearts, and kidneys have been published in recent years [131][132][133][134][135]. So, in the study of Sharma et al. [131], rat kidneys were infused through the renal artery with a blend of CPAs and silicacoated iron oxide NPs (sIONPs). ...

Vitrification and Nanowarming of Kidneys

... The Box-Lucas model is advantageous for analyzing non-adiabatic systems with substantial convective heat losses. The analysis assumes that the system is not perfectly insulated, allowing for heat exchange with the surroundings, especially when the system is in contact with a fluid medium such as air or liquid [45]. ...

The impact of data selection and fitting on SAR estimation for magnetic nanoparticle heating

... Currently, nanowarming has been shown to facilitate the rewarming of cells, tissues, and even organs, both physically and biologically. The preparation of nanoparticles was also optimized to be scalable [107]. The representative studies that used nanomaterials as rewarming promoters are summarized in Table 2. ...

Preparation of Scalable Silica‐Coated Iron Oxide Nanoparticles for Nanowarming

... Highly stable and biocompatible colloidal suspensions based on magnetic nanoparticles (ferrofluids) are extensively investigated for magnetic fluid hyperthermia therapies (MFHT) in cancer treatment. Hyperthermia is deemed a noninvasive technique for cancer therapy due to the fact that kills activated cancerous cells via localized heating of tumors at supranormal body temperatures (40)(41)(42)(43)(44)(45)(46) • C). The most adequate nanomaterials used for MFHT cancer treatment are magnetic nanoparticles (Fe 3 O 4 and γ-Fe 2 O 3 ) [25], which must Nanomaterials 2021, 11, 1189 3 of 28 be relatively monodispersed, highly crystalline, water dispersible, biocompatible with high magnetic susceptibility, and display superparamagnetic behavior [26]. ...

Use and Safety of Iron Oxide Nanoparticles in MRI and MFH
  • Citing Chapter
  • September 2019

... These problems may be significantly reduced in lung tissue due to its reduced density and rapid perfusion which may allow for a reduction in normothermic exposure to toxic cryoprotectants and current heat and mass transfer limitations. However, some of the methods currently being studied to enable devitrification, such as nanoparticle rewarming [47,90], may not be feasible in the lung due to its complicated architecture. Therefore, a partial freezing protocol [100,101] may be of interest for lung cryopreservation given the large air spaces of the lung in which ice has the potential to form innocuously. ...

Iron Oxide Nanoparticles And Vs55 Perfusion In Rat Hearts
  • Citing Conference Paper
  • December 2019

Cryobiology

... These problems may be significantly reduced in lung tissue due to its reduced density and rapid perfusion which may allow for a reduction in normothermic exposure to toxic cryoprotectants and current heat and mass transfer limitations. However, some of the methods currently being studied to enable devitrification, such as nanoparticle rewarming [47,90], may not be feasible in the lung due to its complicated architecture. Therefore, a partial freezing protocol [100,101] may be of interest for lung cryopreservation given the large air spaces of the lung in which ice has the potential to form innocuously. ...

Vitrification And Nanowarming Of Livers
  • Citing Conference Paper
  • December 2019

Cryobiology

... Traditionally, standard frozen cryopreservation (SFC) has been the typical method for tissue preservation and relies on freezing with cryoprotective agents (CPAs) and slow cooling to sub-zero storage temperatures. However, this method poses significant challenges, primarily due to the formation of ice crystals that can damage delicate tissues and organs, compromising their viability and structure upon thawing (Fig. 2) [2,25,40]. ...

Imaging the distribution of iron oxide nanoparticles in hypothermic perfused tissues