Abstract
Acute kidney injury is a major clinical challenge affecting as many as 1 percent of all hospitalized patients. Currently it is not possible to accurately stratify and predict the outcome of the individual patient. Increasing evidence supports metabolic reprogramming as a potential target for new biomarkers. Hyperpolarized [1-13C]pyruvate imaging is a promising new tool for evaluating the metabolic status directly in the kidneys. We here investigate the prognostic potential of hyperpolarized [1-13C]pyruvate in the setting of acute kidney injury in a rodent model of ischemia reperfusion. A significant correlation was found between the intra-renal metabolic profile 24 hours after reperfusion and 7 days after injury induction, as well as a correlation with the conventional plasma creatinine biomarker of renal function and markers of renal injury. This leads to a possible outcome prediction of renal function and injury development from a metabolic profile measured in vivo. The results support human translation of this new technology to renal patients as all experiements have been performed using clinical MRI equipment.
Subject terms: Kidney, Metabolism, Acute kidney injury
Introduction
Acute kidney injury is one of the leading causes of end-stage kidney disease, a disease with a mortality rate estimated to 2 million per year worldwide1–3. The kidney is a well perfused organ, and it consumes as much as 20% of the bodies total available oxygen. The high oxygen consumption occurs to maintain the high energetic burden of transporting water and waste products against the solute concentration gradients. This in combination with the heterogenetic tissue composition of the kidney renders the kidney especially vulnerable to hypoxic injury4,5. This has led to the unifying mechanism, that hypoxia is a key contributor in the development of renal disease6,7. A recent study demonstrated that 60 minutes (min) of ischemia in the kidneys, lead to a fully hypoxic condition, while 30 min of ischemia in the kidneys did not show any sign of reduction in the oxidative metabolism in vivo, albeit a reduced ex vivo pyruvate dehydrogenase (PDH) activity was observed5.
A recent report has identified a mismatch in the redox balance (NADH/NAD + ) in concern with sepsis induced acute kidney injury (AKI), even in the presence of sufficient oxygen in a rat model8. However, both the AKI induction method, reperfusion time and animal model lead to high heterogeneity in both the injury outcome and redox balance consequences. We have previously shown an elevation in the redox capacity together with a reduction in glycolytic capacity5 when working in this AKI model. This is supported by Zager et al. and Claworthy et al.9,10, with studies performed in the early stages as well as in the ischemia reperfusion injury (IRI) induced AKI (1–48 hours of reperfusion). On the contrary Baligand et al.11 also reported a reduction in glycolytic capacity but with a reduced redox capacity instead. This illustrates that comparisons between AKI models must be performed with caution. A new imaging method, the so-called hyperpolarized carbon-13 (13C) magnetic resonance imaging (MRI) method, has proven particularly well-suited for renal investigations12, as researchers and clinicians can use it to follow the metabolic alterations minimally-invasively in real-time only seconds after injection of 13C-labelled metabolites13–18. The method has been used to investigate the pseudo-hypoxic condition in diabetic nephropathy in which anaerobic metabolism is elevated despite sufficient oxygen supply7,19 and to utilize this metabolic derangement as a novel therapeutic target for treatment of diabetic kidney disease20–22. Thus, hyperpolarized 13C MRI is ideally suited to investigate the pseudo-hypoxic phenomena associated with diabetes together with the metabolic alterations seen in ischemia reperfusion injury.
The hyperpolarized [1–13C]pyruvate allows for quantification of the pyruvate flux to its products [1–13C]lactate, [1–13C]alanine and 13C-bicarbonate. The conversion of pyruvate-to-lactate is catalyzed by the enzyme lactate dehydrogenase (LDH), a reaction that is considered to be indicative of the glycolytic activity (anaerobic metabolism). The conversion of pyruvate-to-alanine is catalyzed by the enzyme alanine transferase (ALT), a reaction that is considered to be indicative of the amino acid requiements. The production of bicarbonate (HCO3-) from pyruvate is catalyzed by the mitochondrial enzyme pyruvate dehydrogenase (PDH) and the enzyme carbonic anhydrase (CA), a reaction that is considered to be indicative of the oxidative metabolism (oxidative phosphorylation)12,23. The balance between the anaerobic and the aerobic pathways, can thus be represented by the ratio between the two metabolic products lactate and HCO3- respectively. This measure has previously been shown to evaluate ishcmic injury in both heart and kidneys5,10,11,24,25, and thus represents an opportunity to evaluate the time course of the change that occur during AKI.
Clatworthy et al. reported no change in lactate-to-bicarbonate ratio in an Folic acid induced AKI model10, whereas Baligand et al. found a reduction in the bicarbonate-to-lactate ratio and elevation of the lactate-to-pyruvate ratio in a ischemia reperfusion model11, these contradictions might be caused by differences in AKI induction models or their timing. In a previous study in a similar I/R model we found a reduction in lactate-to-pyruvate ratio, but with an elevation of the lactate-to-bicarbonate ratio indicating reduced overall metabolic capability but a preference towards anaerobic metabolism5, which is in agreement with Baligand et al.11.
In this study we question if the acute and prolonged metabolic consequences (lactate-to-bicarbonate) associated with mild ischemia reperfusion injury (20 min, 30 min and 40 min), are detectable in the early stages following reperfusion (30 min ischemia imaged up to 60 min), and secondly if this derangement is dependent on the extend of the injury (30 ± 10 min ischemia imaged at 1 and 7 days) and as such can be used to predict the outcome of the long-term metabolic patterns associated with AKI.
Materials and Methods
Rat model
Two surgical procedures were utilized to investigate firstly the immediate effect following reestablisment of the blood flow to the kidney (Fig. 1A) and secondly the long term effects of the ischmia (Fig. 1B). In the first procedure an incision was performed in male Wistar rats (n = 6) weighing between 200–233 g and the left renal artery was carefully dissected. A balloon artery cuff was placed around the left renal artery. After surgery the rodents were placed in the MR scanner, and a rectal temperature of 37 °C was maintained. Respiration and oxygen saturation were monitored in the scanner. The balloon cuff was inflated and ischemia was induced and maintained for 30 min. After 30 min the cuff was deflated and a [1–13C]pyruvate MRI scan protocol was performed after 1 and 60 min of reperfusion (Fig. 1A). In the second surgical procedure male Wistar rats (n = 6 in each group) weighing between 210–245 g were placed on a heating pad to maintain a rectal temperature of 37 °C. We performed a surgical incision in the abdomen, and the left renal artery was carefully dissected. We placed a non-traumatic clamp on the left artery for 20 min and 40 min respectively in each group to induce ischemia. After release of the clamp, reperfusion was visually confirmed. The incision was sutured separately in muscle tissue and skin5,26,27. The animals were scanned after 1 day and 7 days (Fig. 1B). During surgery and scan sessions, the animals were anesthetized with Sevoflurane (induction 8%, sustained 6%) mixed with air (2 l/min). At the beginning of surgery, Temgesics was given subcutaneously as analgesics (0.05 mg/kg) and was then supplied in the drinking water (0.3 mg/ml) for 48 hours. To maintain post-operative water balance, 2 ml of isotonic salt water was injected subcutaneously in the beginning of the operation5,26,27. The study was carried out in accordance with Danish National Guidelines for animal care, and was approved by the Danish Animal Experiments Inspectorate under the Danish Veterinary and Food Administration (License no. 2014–15–0201–00327).
Hyperpolarization experiments
Tail vein catheterization was performed for administration of hyperpolarized [1–13C]pyruvate. Temperature, peripheral capillary oxygen saturation and respiration rate were monitored throughout the experiment. [1–13C]pyruvate was polarized in the Spinlab (GE Healthcare, Brøndby, Denmark). Polarization was performed as previously described5. Each animal was injected with 1.5 ml (125 mM) hyperpolarized [1–13C]pyruvate. MR scans were performed in a 3 T clinical MR system (GE Healthcare, Brøndby, Denmark) equipped with a dual tuned 13C/1H volume rat coil (GE Healthcare, Brøndby, Denmark). A slice-selective 13C IDEAL spiral sequence was used for hyperpolarized 13C-pyruvate imaging acquiring images every 5 second (sec). The sequence was initiated 20 sec. after the start of injection with the following parameters: flip angle = 10°, 11 IDEAL echoes and one initial spectrum per IDEAL encoding, TR/TE/ΔTE = 100 ms/0.9 ms/0.9 ms, FOV = 80 × 80 mm2, 5 × 5 mm real resolution and an axial slice thickness of 15 mm covering both kidneys. Acquired 1H and 13C images were converted to dicom files. Regions of interest (ROI’s) were placed around each kidney in Osirix. Hyperpolarized MR metabolic kinetic analysis was performed by ratiometric analysis according to previous reports28.
Tissue and blood sampling
Prior to the MRI scan sessions blood samples were drawn from the tail vein catheter and placed in heparinized tubes. Blood samples were centrifuged and the plasma samples were stored at −80 °C. After the last MRI scan protocol, the animals were sacrificed and tissue samples of the right and left cortex and inner medulla (IM) were collected and snap frozen in liquid nitrogen. Tissue samples were stored at −80 °C. Plasma creatinine was measured using an enzymatic approach using a Roche Cobas 6000 analyzer, following the vendors instructions (Roche Diagnostics, Hvidovre, Denmark).
RNA extraction and qPCR
IM was homogenized, and total RNA was isolated using a Nucleospin RNA II kit (Stratagene, AH diagnostics, Aarhus, DK) following manufacturer’s instructions5,26,27. RNA purity and concentration was measured by spectrophotometry. cDNA synthesis was performed on 0.5 µg RNA with the Revertaid First Strand cDNA synthesis kit (Thermo Fisher Scientific, Hvidovre, DK), following manufacturer’s instructions5,27. Preparation of samples for qPCR was performed using Maxima SYBR Green qPCR master mix (ThermoFisher Scientific, Hvidovre, DK), following manufacturer’s instructions5,26,27. The qPCR comprised 40 cycles of denaturation for 30 sec. at 95 °C followed by annealing and synthesis for 1 min at 60 °C. Primer sequences are described in Table 1.
Table 1.
Gene: | Forward primer sequence: | Reverse primer sequence: |
---|---|---|
18 s | 5′-CAT GGC CGT TCT TAG TTG-3′ | 5′-CAT GCC AGA GTC TCG TTC-3′ |
LDH | 5′-AAT AAT ACG TGA AAT GTA AGA-3′ | 5′-TTT TCC CTT GGC ATG CAC TTG-3′ |
PDH | 5′-TCC ACT CCT TGTAGC TGC AAC-3 | 5′-GAG AAC CCA CCA CCC CATG-3′ |
KIM-1 | 5′-CCA CAA GGC CCA CAA CTA TT-3′ | 5′-TGT CAC AGT GCC ATT CCA GT-3′ |
NGAL | 5′-GAT CAG AAC ATT CGT TCC AA-3′ | 5′-TTG CAC ATC GTA GCT CTG TA-3′ |
MCT1 | 5′-CTC TGG GCG CCG CGA GAT AC-3′ | 5′- CAA CTA CCA CCG CCC AGC CC-3′ |
MCT4 | 5′- CCA GGC CCA CGG CAG GTT TC-3′ | 5′- GCC ACC GTA GTC ACT GGC CG-3′ |
Primers used for qPCR.
Biochemical assays
LDH and PDH activity and lactate and fumarase activity assays were performed according to the manufacturer’s instructions (Sigma Aldrich, Brøndby, Denmark) with few alterations. Tissue was homogenized in assay buffer specific for each activity kit, the solution was centrifuged and the supernatant was used for assay quantification. Analysis was performed on 386 well plates. Initially a full spectrum absorbance measurement was performed to find the optimal absorbance peak (PDH 410 nm, LDH 458 nm, lactate 579 nm, fumarase 458 nm). Hereafter the absorbance protocol followed manufacturer’s recommendation. Activity measurements on tissue were normalized to protein content. Fumarase activity was measured directly on plasma and urine fractions according to manufacturer’s instructions (Merck, Brøndby, Denmark).
Statistics
All data are presented as means ± SEM. All statistical analysis was performed in GraphPad Prism 6. Data were analyzed by either a one-way-ANOVA with repeated measures or a two-way-ANOVA repeated measures. A value of P < 0.05 (*) was considered statistically significant.
Results
Acute compensatory metabolic regulation maintains aerobic and anaerobic balance
Acute alterations in the ischemic re-perfused kidneys overall metabolic phenotype were seen between the ischemic/early perfusion stage (2 min) and after 1 hour of perfusion, showing a compensatory mechanism in the contralateral kidney 60 min after reperfusion (Fig. 2A-B). The acute change in the lactate-to-bicarbonate ratio 60 min after reperfusion was not correlated with the early signature 2 min after reperfusion (Fig. 2C). The acute metabolic reprogramming seen at 60 min was driven by post release compensation in the contralateral kidney as well as downregulation of the lactate-to-bicarbonate balance in the ischemic kidney.
Ischemic insult mediated anaerobic adaptation over time in both the contralateral and the ischemic kidney
The in vivo response that was seen 24 hours and 7 days following ischemic injury showed a similar tendency towards a general reduction of the overall metabolism in the ischemic kidney as well as a compensatory increased anaerobic metabolism shown by increased lactate production when compared to the aerobic metabolism, shown by CO2 and HCO3- production. Both 20 min and 40 min ischemia in the kidney results in a tendency towards a metabolic reprogramming from 24 hours to 7 days, with a statistically significant shift observed in the 40 min group (Fig. 3A-C). The metabolic phenotype at 24 hours, with reduced lactate-to-bicarbonate ratio, is positively correlated with the lactate-to-bicarbonate ratio at 7 days and well separated by severity (Fig. 3D).
Early metabolic programming correlates with ischemic severity following reperfusion and thus represents a novel theranostic target
A positive correlation was found in the lactate-to-bicarbonate ratio between 24 hours and 7 days. While no such correlation was found between the perfusion stage (2 min) and 60 min. It is however unclear if there exists an earlier time point for predicting the progression of the ischemic injury. By looking at the 20 min and 40 min group, one group with a large variance covering the 30 min acute insult, we compared the overall metabolic pattern from the initial 2 min – 7 days between the ischemic and contralateral kidney (Fig. 4A-B). This combination shows a significant change already at 60 min which persists throughout the 7 days. These findings are supported by a tendency towards a correlation between the lactate-to-bicarbonate ratio and the LDH activity and MCT-4 expression (Table 2), as well as the cell death/damage and kidney functional biofluid markers fumarase activity and plasma creatinine respectively (Table 2, Fig. 5A-D).
Table 2.
24 hours in vivo versus end-point correlation | Lactate/HCO3− | |
---|---|---|
R2 | p-values | |
Oxygen metabolism | ||
LDH expression | 0.047 | 0.53 |
LDH activity | 0.279 | 0.09# |
PDH expression | 0.059 | 0.47 |
PDH activity | 0.013 | 0.73 |
Lactate concentration | 0.048 | 0.52 |
MCT-1 | 0.139 | 0.26 |
MCT-4 | 0.296 | 0.08# |
Damage Markers | ||
NGAL | 0.157 | 0.23 |
KIM-1 | 0.152 | 0.24 |
Plasma Fumarase activity | 0.346 | 0.10# |
Urine Fumarase activity | 0.423 | 0.03* |
Functional markers | ||
Plasma Creatine | 0.390 | 0.04* |
The anaerobic versus aerobic balance in metabolism(lactate-to-bicarbonate ratio) measured 24 hours after ischemia was compared to metabolic, injury and kidney function biomarkers. Urinary fumarase and plasma creatinine was significantly correlated with lactate-to-bicarbonate ratio, represented by *p < 0.05. LDH, MCT4 and plasma fumarase showed a non-significant tendency towards a correlation with the lactate-to-bicarbonate ratio, represented by #p < 0.1.
Discussion
The aim of this study was to investigate the acute and prolonged metabolic consequences associated with ischemia reperfusion injury, and to elucidate whether the early injury mediated metabolic reprogramming can predict the outcome of the injury. We found a metabolic reprogramming as early as 24 hours after injury predicting the outcome seven days later, as well as indications that this change can be seen as early as 1 hour after reperfusion.
A unilateral ischemia of 20–40 minutes is generally accepted to promote a mild to moderate ischemic injury, while 60 minutes or more of ischemia is needed for severe injury induction29. In a previous study we have shown that severe ischemic injury induction leads to a reduction in bicarbonate-to-pyruvate ratio as well as an elevation in lactate-to-pyruvate ratio5. This has led to the hypothesis that severe ischemic injury will lead to disruption and loss of mitochondria, which reduces the bicarbonate-to-pyruvate ratio, whilst moderate ischemic injury does not disrupt mitochondrial function. However, both are associated with decreased renal function as seen with increased levels of serum levels of creatinine, even with the compensation of the contralateral kidney. It is generally accepted that the mitochondria play a central role in injury induction in IRI30. This includes generation of reactive oxygen species especially in the reperfusion phase and as an integral factor leading to apoptosis and necrosis31. It is generally believed that the disruption of mitochondria inevitably will lead to cell death, whilst our former study showed an elevation of lactate-to-pyruvate ratio indicating that some cells are still present with anaerobic metabolic capabilities whilst losing the aerobic capabilities. You could argue that the elevated lactate-to-pyruvate ratio only represents circulating LDH activity or macrophage infiltration which is often found in concern with renal IRI5,9. However, in this study we find an elevation of lactate-to-pyruvate ratio whilst retaining the aerobic capabilities. This indicates a true anaerobic response to injury which is not only induced by the loss of LDH to the interstitium by cell wall disruption. We believe the anaerobic response leading to the elevation of lactate-to-pyruvate ratio is initiated by cells found in the distal parts of the kidney. The intra-renal oxygen gradient leads to a permanent hypoxic state in the distal areas which leads to cells specialized in anaerobic energy formation32.
All metabolites of 13C-pyruvate were found to be elevated in the ischemic/early reperfusion phase of 2 min although only the lactate-to-pyruvate ratio reached a significant level. These metabolites-to-pyruvate ratios might reflect a buildup of metabolites in the ischemic phase rather than a true metabolic phenotype at this early stage. This would also explain why no correlation between the lactate-to-bicarbonate ratios was found in the acute phase (between 2 min and 60 min of reperfusion). The correlations between lactate-to-bicarbonate ratios reflect a developing metabolic phenotype which follows injury induction and kidney function. Especially fumarase activity were found to correlate quite well with the phenotype. In a previous study we have shown how fumarase activity measured in urine and plasma fractions functions as a sensitive injury marker26. This verifies how the lactate-to-bicarbonate ratio phenotype reflects injury induction and developments as the ratio correlates with fumarase activity. We found a weak tendency towards an elevation of fumarase activity in the acute phase, while it was found to be highly upregulated 1 hour after reperfusion. This illustrates how most of injury induction happens in the reperfusion phase rather than the ischemic phase4. The fumarase activity is steadily increasing even 7 days after perfusion. This indicates that injury induction is still developing and that the repair phase has not reestablished complete kidney function yet which is supported by the elevated plasma creatinine levels. Further studies will be needed to fully understand this development. A limitation of this study is the lack of histological verification, which in combination with the used damage assays could have given even further information, future studies needs to address the mechanisms associated with metabolic changes and the macroscopic alterations in detail. Another limitation is the lack of sham operated animals, which was not included as previous studies have shown that the contralateral kidney and the sham kidneys are similar with mild ishcemia5.
To summarize, hyperpolarized [1–13C]pyruvate MRI shows great promise for future investigations in patients with renal disease, identifying the balance between the anaerobic and aerobic metabolism as a potential prognostic biomarker. The metabolic phenotype seen in mild-to-moderate ischemia induced injury is similar to the pseudo-hypoxic condition seen in diabetes33, which supports hypoxia as an underlying factor in the development of renal diseases and secondly represents a novel metabolic target for AKI treatment.
Supplementary information
Acknowledgements
This paper is dedicated to the memory of our wonderful friend and colleague, Per Mose Nielsen (1986–2019). The authors thank Duy Anh Dang and Mette Dalgaard for expert technical assistance. The project was funded by Aarhus University Foundation and Karen Elise Jensens Foundation.
Author contributions
P.M.N. and C.L. conceived and designed the study; P.M.N., H.Q., L.B.B. and C.L. performed the experiments and collected the data; P.M.N. and C.L. analysed and interpreted the data. P.M.N. and C.L. were responsible for writing the manuscript. All authors have read and approved the final manuscript. C.L. have primary responsibility for the final content and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
is available for this paper at 10.1038/s41598-020-65816-1.
References
- 1.Thakar CV, Christianson A, Freyberg R, Almenoff P, Render ML. Incidence and outcomes of acute kidney injury in intensive care units: a Veterans Administration study. Crit Care Med. 2009;37(9):2552–2558. doi: 10.1097/CCM.0b013e3181a5906f. [DOI] [PubMed] [Google Scholar]
- 2.Thakar CV. Perioperative acute kidney injury. Adv Chronic Kidney Dis. 2013;20(1):67–75. doi: 10.1053/j.ackd.2012.10.003. [DOI] [PubMed] [Google Scholar]
- 3.Ali T, et al. Incidence and outcomes in acute kidney injury: a comprehensive population-based study. Journal of the American Society of Nephrology: JASN. 2007;18(4):1292–1298. doi: 10.1681/ASN.2006070756. [DOI] [PubMed] [Google Scholar]
- 4.Devarajan P. Update on mechanisms of ischemic acute kidney injury. Journal of the American Society of Nephrology: JASN. 2006;17(6):1503–1520. doi: 10.1681/ASN.2006010017. [DOI] [PubMed] [Google Scholar]
- 5.Nielsen PM, et al. In situ lactate dehydrogenase activity: a novel renal cortical imaging biomarker of tubular injury? Am J Physiol Renal Physiol. 2017;312(3):F465–F473. doi: 10.1152/ajprenal.00561.2015. [DOI] [PubMed] [Google Scholar]
- 6.Palm F, Koeners MP. Editorial: Hypoxia in Kidney Disease. Frontiers in physiology. 2018;9:485. doi: 10.3389/fphys.2018.00485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Laustsen, C et al. High altitude may alter oxygen availability and renal metabolism in diabetics as measured by hyperpolarized [lsqb]1-13C[rsqb]pyruvate magnetic resonance imaging. Kidney Int (2013). [DOI] [PubMed]
- 8.Gómez H, Kellum JA, Ronco C. Metabolic reprogramming and tolerance during sepsis-induced AKI. Nature Reviews Nephrology. 2017;13:143. doi: 10.1038/nrneph.2016.186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Zager RA, Johnson AC, Becker K. Renal Cortical Lactate Dehydrogenase: A Useful, Accurate, Quantitative Marker of In Vivo Tubular Injury and Acute Renal Failure. PloS one. 2013;8(6):e66776. doi: 10.1371/journal.pone.0066776. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Clatworthy MR, et al. Magnetic resonance imaging with hyperpolarized [1,4-13C2]fumarate allows detection of early renal acute tubular necrosis. Proceedings of the National Academy of Sciences. 2012;109(33):13374–13379. doi: 10.1073/pnas.1205539109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Baligand Celine, Qin Hecong, True-Yasaki Aisha, Gordon Jeremy W., von Morze Cornelius, Santos Justin Delos, Wilson David M., Raffai Robert, Cowley Patrick M., Baker Anthony J., Kurhanewicz John, Lovett David H., Wang Zhen Jane. Hyperpolarized13C magnetic resonance evaluation of renal ischemia reperfusion injury in a murine model. NMR in Biomedicine. 2017;30(10):e3765. doi: 10.1002/nbm.3765. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Laustsen C. Hyperpolarized Renal Magnetic Resonance Imaging: Potential and Pitfalls. Frontiers in physiology. 2016;7:72. doi: 10.3389/fphys.2016.00072. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Ardenkjaer-Larsen JH, et al. Increase in signal-to-noise ratio of >10,000 times in liquid-state NMR. Proc Natl Acad Sci USA. 2003;100(18):10158–10163. doi: 10.1073/pnas.1733835100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Ardenkjaer-Larsen JH, et al. Dynamic nuclear polarization polarizer for sterile use intent. NMR Biomed. 2011;24(8):927–932. doi: 10.1002/nbm.1682. [DOI] [PubMed] [Google Scholar]
- 15.Nelson SJ, et al. Metabolic Imaging of Patients with Prostate Cancer Using Hyperpolarized [1-13C]Pyruvate. Science Translational Medicine. 2013;5(198):198ra108. doi: 10.1126/scitranslmed.3006070. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Aggarwal, R., Vigneron, D. B. & Kurhanewicz, J. Hyperpolarized 1-[13C]-Pyruvate Magnetic Resonance Imaging Detects an Early Metabolic Response to Androgen Ablation Therapy in Prostate Cancer. Eur Urol 2017. [DOI] [PMC free article] [PubMed]
- 17.Cunningham, C. H. et al. Hyperpolarized 13C Metabolic MRI of the Human Heart: Initial Experience. Circ Res 2016. [DOI] [PMC free article] [PubMed]
- 18.Stodkilde-Jorgensen, H et al. Pilot Study Experiences With Hyperpolarized [1-(13) C]pyruvate MRI in Pancreatic Cancer Patients. Journal of magnetic resonance imaging: JMRI 2019. [DOI] [PubMed]
- 19.Laustsen C, et al. Assessment of early diabetic renal changes with hyperpolarized [1-13C]pyruvate. Diabetes/Metabolism Research and Reviews. 2013;29(2):125–129. doi: 10.1002/dmrr.2370. [DOI] [PubMed] [Google Scholar]
- 20.Laustsen, C et al. Antioxidant treatment attenuates lactate production in diabetic nephropathy. American Journal of Physiology - Renal Physiology 2016. [DOI] [PubMed]
- 21.Nørlinger Thomas S., Nielsen Per Mose, Qi Haiyun, Mikkelsen Emmeli, Hansen Kasper, Schmidt Nikolaj H., Pedersen Michael, Agger Peter, Palm Fredrik, Laustsen Christoffer. Hyperbaric oxygen therapy reduces renal lactate production. Physiological Reports. 2017;5(6):e13217. doi: 10.14814/phy2.13217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Laustsen Christoffer, Lipsø Kasper, Østergaard Jakob Appel, Nørregaard Rikke, Flyvbjerg Allan, Pedersen Michael, Palm Fredrik, Ardenkjaer-Larsen Jan Henrik. Insufficient insulin administration to diabetic rats increases substrate utilization and maintains lactate production in the kidney. Physiological Reports. 2014;2(12):e12233. doi: 10.14814/phy2.12233. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Pedersen M, et al. Hyperpolarised (13)C-MRI metabolic and functional imaging: an emerging renal MR diagnostic modality. Magma (New York, NY) 2020;33(1):23–32. doi: 10.1007/s10334-019-00801-y. [DOI] [PubMed] [Google Scholar]
- 24.h-Ici O, et al. Hyperpolarized Metabolic MR Imaging of Acute Myocardial Changes and Recovery after Ischemia-Reperfusion in a Small-Animal Model. Radiology. 2015;278(3):742–751. doi: 10.1148/radiol.2015151332. [DOI] [PubMed] [Google Scholar]
- 25.Agger P, et al. Magnetic resonance hyperpolarization imaging detects early myocardial dysfunction in a porcine model of right ventricular heart failure. European Heart Journal - Cardiovascular Imaging. 2019;21(1):93–101. doi: 10.1093/ehjci/jez074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Nielsen PM, et al. Fumarase activity: an in vivo and in vitro biomarker for acute kidney injury. Scientific reports. 2017;7:40812. doi: 10.1038/srep40812. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Nielsen, P. M. et al. Renal ischemia and reperfusion assessment with three-dimensional hyperpolarized 13 C,15 N2-urea. Magn Reson Med 2016. [DOI] [PubMed]
- 28.Hill DK, et al. Model free approach to kinetic analysis of real-time hyperpolarized 13C magnetic resonance spectroscopy data. PloS one. 2013;8(9):e71996. doi: 10.1371/journal.pone.0071996. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Wang HJ, Varner A, AbouShwareb T, Atala A, Yoo JJ. Ischemia/reperfusion-induced renal failure in rats as a model for evaluating cell therapies. Renal failure. 2012;34(10):1324–1332. doi: 10.3109/0886022X.2012.725292. [DOI] [PubMed] [Google Scholar]
- 30.Martin JL, Gruszczyk AV, Beach TE, Murphy MP, Saeb-Parsy K. Mitochondrial mechanisms and therapeutics in ischaemia reperfusion injury. Pediatric nephrology (Berlin, Germany) 2019;34(7):1167–1174. doi: 10.1007/s00467-018-3984-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Padanilam BJ. Cell death induced by acute renal injury: a perspective on the contributions of apoptosis and necrosis. Am J Physiol Renal Physiol. 2003;284(4):F608–627. doi: 10.1152/ajprenal.00284.2002. [DOI] [PubMed] [Google Scholar]
- 32.Palm F, et al. Polyol-pathway-dependent disturbances in renal medullary metabolism in experimental insulin-deficient diabetes mellitus in rats. Diabetologia. 2004;47(7):1223–1231. doi: 10.1007/s00125-004-1434-3. [DOI] [PubMed] [Google Scholar]
- 33.Williamson JR, et al. Hyperglycemic pseudohypoxia and diabetic complications. Diabetes. 1993;42(6):801–813. doi: 10.2337/diab.42.6.801. [DOI] [PubMed] [Google Scholar]
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