Christian Østergaard Mariager1, Esben Søvsø Szocska Hansen1, Sabrina Kahina Bech1, Anders Munk2, Mads Dam Lyhne2, Karsten Søberg3, Peter Fast Nielsen3, Steffen Ringgaard1, and Christoffer Laustsen1
1Department of Clinical Medicine, the MR Research Centre, Aarhus University, Aarhus N, Denmark, 2Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark, 3Department of Anesthesia and Intensive Care, Aarhus University Hospital, Aarhus N, Denmark
Synopsis
The mammalian kidney is a complex organ, maintaining
the water and nutrient balance of the body. Current knowledge of the essential
functions, and the interplay with metabolic processes, are mainly derived from
small animal experiments (uni-papilary kidneys) using invasive methods and
lacking spatial resolution. The approach presented here addresses these
limitations, by introducing a new MR compatible kidney perfusion device,
enabling imaging of the underlying metabolic and functional patterns associated
with the multi-papillary porcine kidney, better resembeling the human
physiology.
Purpose
The
ability to monitor and investigate isolated organs outside the body is becoming
increasingly relevant. This is due to several factors, including a need for
novel transplantation applications as well as the desire to perform ever more
detailed investigations into metabolism and function. Here we present the use
of an in-house developed MRI compatible perfusion system, capable of
investigating hemodynamic and metabolic function in ex-vivo kidney porcine
models through the use of hyperpolarized and conventional MRI.Materials and methods
One kidney (125±16 g) and approximately 1.2 L
heparinized whole blood was retrieved from four fully anesthetized female pigs
(40 kg body weight), followed by the termination of the animal. The kidney was flushed with cold Ringer-acetate
(Fresenius Kabi, Bad
Homburg, GE) and cooled
down to 5 °C. The renal artery and ureter was cannulated, and the kidney was
connected to the perfusion system, see Figure 1 and 2. The perfusion system is
comprised of a
BioMedicus Medtronic Bio Console 540 centrifugal pump (Medtronic, Minneapolis,
MN, US) to maintain physiological flow at approximately 170 mL/min. The perfusate is heated to 37 °C and oxygenated using a Medos Hilite 1000 neonatal oxygenator (Xenios,
Heilbronn, GE) and a water heater/pump, see Figure 2. Temperature, flow and
pressure sensors mounted on the perfusion lines allow for continuous monitoring.
Glucose (Fresenius Kabi, Bad Homburg, GE), amino acids (Vaminolac, Fresenius Kabi, Bad Homburg, GE)
and insulin (Humulin,
Eli Lilly Demark A/S, Herlev, DK) was infused continually to keep blood gas parameters in the
physiological range1. Vasodilator (Veraloc, Orion Pharma, Copenhagen, DK) was infused to ease
the perfusion, and the produced urine was collected in a separate bag to avoid
contamination of the blood supply. Physiological and hemodynamic parameters was
monitored throughout the perfusion. The perfused kidney is placed in the bore
of a 3.0 T Signa HDx MRI scanner (GE Healthcare) equipped
with proton and carbon-13 imaging capability.
Intra-renal anatomy was assessed using T1
weighted FLAIR and T2 weighted PROPELLER imaging sequences with the
following parameters. T1 FLAIR: TR/TE/TI = 4.4 s/24.2 ms/1.6 s, flip
angle = 111°, FOV/matrix = 200×200 mm2/256×256. T2 PROPELLER: TR/TE = 7.4 s/94.1 ms, flip angle = 142°,
FOV/matrix = 200×200 mm2/256×256. Both sequences were used to acquire 15 long axis
slices of 4 mm slice thickness in 2 and 4 averages respectively, see Figure 3. Metabolic
13C imaging was performed following a 9 mL injection of
hyperpolarized [1-13C]pyruvate, using a spectral spatial (SPSP)
imaging sequence with parameters: TR/TE = 0.5 s/1 ms, FOV/matrix = 120×120 mm2/128×128, one long axis slice with 40 mm slice thickness
and a 90° or 8° flip angle on lactate/bicarbonate/alanine
or pyruvate, respectively. The effective TR for pyruvate and its metabolites
was 1 and 3 seconds respectively, with three pyruvate and one
lactate/bicarbonate/alanine acquisition every 3 seconds. 1H DCE MRI was
acquired following an injection of 0.3 mL Dotarem (279.3 mg/mL) using a 3D fast
gradient echo sequence with parameters: TR/TE = 1 s/1.7 ms, flip angle = 12°,
FOV/matrix = 240×240×240 mm3/256×256.
Region of interest (ROI) analysis is performed in Matlab (MathWorks,
Natic, MA, US) using a custom segmentation method2, where each whole kidney ROI was divided into 10 equidistantly
spaced segment layers, see Figure 3.Results
Ex-vivo renal perfusion with accurate control of
physiological parameters was verified with 1H MRI and [1-13C]pyruvate
MRI. Our preliminary
results from these investigations display differences in intra renal
heterogeneity, see Figure 4. The renal cortex shows a predominant lactate
production, while alanine production is mostly confined to the renal medullary
region.Discussion and conclusion
Improved understanding of the role of deranged renal
metabolism in the donor graft prior to transplantation and during storage has
the potential to increase utilization of marginal organs, and thereby combat
organ shortage. This follows from the heightened potential of enhanced
therapeutic strategies, e.g. in the form of storage and pharmaceutical
interventions, with the effect of preventing graft degradation or modulating
the graft viability. With further analysis we hope to clarify the observations
presented here, and look for potential correlations between the metabolic
distribution, renal function and the outcome following transplantation.
This study demonstrates the ability to monitor ex-vivo graft metabolism and
function in a large animal model, resembling human renal physiologyAcknowledgements
No acknowledgement found.References
1. J.M. Kaths et al., "Normothermic Ex Vivo
Kidney Perfusion for the Preservation of Kidney Grafts prior to
Transplantation," Journal of
visualized experiments : JoVE, no. 101, pp. e52909-e52909, 2015.
2. M. Pruijm et al., "Reduced cortical
oxygenation predicts a progressive decline of renal function in patients with
chronic kidney disease," Kidney
International, vol. 93, no. 4, pp. 932-940, 2018.