Alison J Guy1, Jay Nath, Mark Cobbold, Christian Ludwig, Daniel A Tennant, Nicholas G Inston, Andrew R Ready. 1. 1 Department of Renal Surgery, University Hospitals Birmingham, Birmingham, United Kingdom. 2 Department of Immunity and Infection, University of Birmingham, Birmingham, United Kingdom. 3 Biomolecular NMR Spectroscopy, University of Birmingham, Birmingham, United Kingdom. 4 School of Cancer Sciences, University of Birmingham, Birmingham, United Kingdom.
Abstract
BACKGROUND: The metabolic processes occurring within the preserved kidney during hypothermic machine perfusion (HMP) are not well characterized. The aim of this study was to use nuclear magnetic resonance (NMR) spectroscopy to examine the metabolomic profile of HMP perfusate from human cadaveric kidneys awaiting transplantation and to identify possible discriminators between the profiles of kidneys with delayed graft function (DGF) and immediate graft function (IGF). METHODS: Perfusates from HMP kidneys were sampled at 45 min and 4 hr of preservation with the LifePort Kidney Transporter 1.0 (Organ Recovery Systems, Chicago, IL) using KPS-1. Prepared samples underwent 1-D Proton-NMR spectroscopy, and resultant spectra were analyzed. Clinical parameters were collected prospectively. RESULTS: Perfusate of 26 transplanted cadaveric kidneys was analyzed; 19(73%) with IGF and 7(27%) with DGF. Glucose concentrations were significantly lower in DGF kidneys compared to those with IGF at both 45 min (7.772 vs. 9.459 mM, P = 0.006) and 4 hr (8.202 vs. 10.235 mM, P = 0.003). Concentrations of inosine and leucine were significantly different between DGF and IGF kidneys at 45 min (0.002 vs. 0.013 mM, P = 0.009 and 0.011 vs. 0.006 mM, P = 0.036), and gluconate levels were also significantly different between DGF and IGF kidneys at 4 hr (49.099 vs. 59.513 mM, P = 0.009). CONCLUSION: Significant metabolic activity may be occurring in kidneys during HMP. The NMR spectroscopy of the perfusate can identify differences in the metabolomic profiles of DGF and IGF kidneys that might have a predictive role in viability assessment. Modification of harmful metabolic processes may improve outcomes for HMP kidneys.
BACKGROUND: The metabolic processes occurring within the preserved kidney during hypothermic machine perfusion (HMP) are not well characterized. The aim of this study was to use nuclear magnetic resonance (NMR) spectroscopy to examine the metabolomic profile of HMP perfusate from human cadaveric kidneys awaiting transplantation and to identify possible discriminators between the profiles of kidneys with delayed graft function (DGF) and immediate graft function (IGF). METHODS: Perfusates from HMP kidneys were sampled at 45 min and 4 hr of preservation with the LifePort Kidney Transporter 1.0 (Organ Recovery Systems, Chicago, IL) using KPS-1. Prepared samples underwent 1-D Proton-NMR spectroscopy, and resultant spectra were analyzed. Clinical parameters were collected prospectively. RESULTS: Perfusate of 26 transplanted cadaveric kidneys was analyzed; 19(73%) with IGF and 7(27%) with DGF. Glucose concentrations were significantly lower in DGF kidneys compared to those with IGF at both 45 min (7.772 vs. 9.459 mM, P = 0.006) and 4 hr (8.202 vs. 10.235 mM, P = 0.003). Concentrations of inosine and leucine were significantly different between DGF and IGF kidneys at 45 min (0.002 vs. 0.013 mM, P = 0.009 and 0.011 vs. 0.006 mM, P = 0.036), and gluconate levels were also significantly different between DGF and IGF kidneys at 4 hr (49.099 vs. 59.513 mM, P = 0.009). CONCLUSION: Significant metabolic activity may be occurring in kidneys during HMP. The NMR spectroscopy of the perfusate can identify differences in the metabolomic profiles of DGF and IGF kidneys that might have a predictive role in viability assessment. Modification of harmful metabolic processes may improve outcomes for HMP kidneys.
Authors: C R Parikh; I E Hall; R S Bhangoo; J Ficek; P L Abt; H Thiessen-Philbrook; H Lin; M Bimali; P T Murray; V Rao; B Schröppel; M D Doshi; F L Weng; P P Reese Journal: Am J Transplant Date: 2016-02-17 Impact factor: 8.086
Authors: Lu Wang; Emily Thompson; Lucy Bates; Thomas L Pither; Sarah A Hosgood; Michael L Nicholson; Christopher J E Watson; Colin Wilson; Andrew J Fisher; Simi Ali; John H Dark Journal: Transplant Direct Date: 2020-08-21
Authors: Jay Nath; Alison Guy; Thomas B Smith; Mark Cobbold; Nicholas G Inston; James Hodson; Daniel A Tennant; Christian Ludwig; Andrew R Ready Journal: PLoS One Date: 2014-12-12 Impact factor: 3.240
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