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Proteomic Analysis of Kidney Preservation Solutions Prior to Renal Transplantation

  • Abdurrahman Coskun ,

    Coskun2002@gmail.com

    Affiliation Acibadem University School of Medicine, Department of Medical Biochemistry, Istanbul, Turkey

  • Ahmet Tarik Baykal,

    Affiliation Acibadem University School of Medicine, Department of Medical Biochemistry, Istanbul, Turkey

  • Dilek Kazan,

    Affiliation Marmara University Engineering Faculty, Department of Bioengineering, Istanbul, Turkey

  • Muslum Akgoz,

    Affiliation National Metrology Institute, Gebze, Turkey

  • Merve Oztug Senal,

    Affiliation National Metrology Institute, Gebze, Turkey

  • Ibrahim Berber,

    Affiliation Acibadem University School of Medicine Department of General Surgery, Istanbul, Turkey

  • Izzet Titiz,

    Affiliation Haydarpasa Numune Research and Training Hospital, Department of General Surgery, Istanbul, Turkey

  • Gokhan Bilsel,

    Affiliation National Metrology Institute, Gebze, Turkey

  • Hakan Kilercik,

    Affiliation Yeni Yuzyil University, Gaziosmanpasa Hospital, Department of Anesthesiology, Istanbul, Turkey

  • Kubra Karaosmanoglu,

    Affiliation Marmara University Engineering Faculty, Department of Bioengineering, Istanbul, Turkey

  • Muslum Cicek,

    Affiliation Yeni Yuzyil University, Gaziosmanpasa Hospital, Department of Anesthesiology, Istanbul, Turkey

  • Ilknur Yurtsever,

    Affiliation Istanbul Medipol University, Regenerative and Restorative Medicine Research Center, Beykoz/Istanbul, Turkey

  • Cevat Yazıcı

    Affiliation Erciyes University, School of Medicine, Department of Medical Biochemistry, Kayseri, Turkey

Proteomic Analysis of Kidney Preservation Solutions Prior to Renal Transplantation

  • Abdurrahman Coskun, 
  • Ahmet Tarik Baykal, 
  • Dilek Kazan, 
  • Muslum Akgoz, 
  • Merve Oztug Senal, 
  • Ibrahim Berber, 
  • Izzet Titiz, 
  • Gokhan Bilsel, 
  • Hakan Kilercik, 
  • Kubra Karaosmanoglu
PLOS
x

Abstract

One of the main issues in kidney transplantation is the optimal functional preservation of the organ until its transplantation into the appropriate recipient. Despite intensive efforts, the functional preservation period remains limited to hours. During this time, as a result of cellular injury, various proteins, peptides, and other molecules are released by the organ into the preservation medium. In this study, we used proteomic techniques to analyze the protein profiles of preservation solutions in which organs had been preserved prior to their transplantation. Samples were obtained from the preservation solutions of 25 deceased donor kidneys scheduled for transplantation. The protein profiles of the solutions were analyzed using 2D gel electrophoresis/MALDI-TOF and LC-MS/MS. We identified and quantified 206 proteins and peptides belonging to 139 different groups. Of these, 111 proteins groups were belonging to kidney tissues. This study used proteomic techniques to analyze the protein profiles of organ preservation solutions. These findings will contribute to the development of improved preservation solutions to effectively protect organs for transplantation.

Introduction

The success of transplantation depends not only on the surgical techniques and immunosuppressive agents used, but also on efficient preservation of the organ prior to transplantation. Thus, one of the main issues in transplantation is the optimal functional preservation of the organ until it is transplanted into the appropriate patient.

Without preservation, viability of the organ is limited to a period of 30–60 min after its disconnection from the native circulation [1]. Thereafter, the development of oxygen deficiency, the need for metabolic substrates, and the accumulation of metabolic end products result in progressive organ damage. This is the case in the kidney, in which ischemia and reperfusion injury following transplantation are unavoidable [2]. Even during partial nephrectomy in patients with normal preoperative kidney function, warm ischemia causes a significant deterioration of kidney function, especially after the first 30 min [3]. To efficiently protect organs prior to transplantation, both hypothermia and pharmacological agents are commonly employed. Hypothermia suppresses the metabolic rate during the preservation period; however, when used alone, it does not confer adequate organ protection. Furthermore, it has serious side effects that promote cell injury and play a key role in delayed graft function [4]. This condition is seen in 20–50% of transplanted cadaver kidneys and is a major risk factor influencing both the early and long-term survival of a transplanted organ [4]. Instead, hypothermia is used in combination with pharmacological agents, such as preservation solutions. The latter include the University of Wisconsin, Euro Collins, histidine-tryptophan-ketoglutarate, and Celsior. Yet, despite these and other efforts, the functional preservation period of solid organs is still limited to hours. By contrast, cells such as erythrocytes can be preserved for very long periods of time. Improving the preservation time of solid organs—either by developing new preservation solutions or modifying existing ones—requires a detailed understanding of the pathophysiological changes that occur in the organ during preservation. These changes include cellular injury that leads to the release of enzymes, proteins, and other molecules by the organ into the preservation medium. The proteins and peptides in the preservation solution can be analyzed in detail using proteomic techniques. Therefore, the aim of this study was to use 2D gel electrophoresis/matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) to analyze the proteins and peptides that are passed from the kidneys to the preservation solution during the period of organ preservation.

Material and Methods

Donor population

Preservation solutions were obtained from those used to preserve 25 deceased donor (14 men and 11 women) kidneys prior to transplantation. We used University of Wisconsin solution to preserve organs prior to transplantation. The median age of donors’ was 48 (range 29–78) years old. All donors were donation after brain death. All kidneys were preserved with static cold storage and the median of cold ischemia time (CIT) was 720 (range 145–1140) minutes. 25 samples were used for two dimensional polyacrylamide gel electrophoresis (2D PAGE) and 18 samples were used for Quadrupole-TOF (Q-TOF) analysis. This study was conducted at the Acibadem University and Marmara University in Istanbul and at the National Metrological Institute, Gebze, Kocaeli, Turkey. The study protocol was approved by the Ethics Committee of Acibadem University and written informed consent from all participants or the next of kin were obtained for the use of the samples in the study.

Materials

The 2D electrophoresis equipment, i.e., isoelectric focusing (PROTEAN IEF) and Sodium dodecyl sulfate—polyacrylamide gel electrophoresis (protean II XI 2-D cell), the immobilized pH gradient (IPG; BioLyte) strips, mineral oil, glycine, ampholytes, and Ready Prep 2D clean-up kit were obtained from Bio-Rad (Hercules, CA, USA). SDS, tris, urea, thiourea, ammonium bicarbonate, 3-[(3-cholamido propyl) dimethylamonio]-1-propanesulfonate (CHAPS), isopropanol, iodoacetamide, acrylamide, bisacrylamide, the ProteoSilver Plus Silver Stain Kit, glycerol, and α-cyanohydroxycinnamic acid were obtained from Sigma-Aldrich (St. Louis, MO, USA). Tetramethylethylenediamine, dithiothreitol (DTT), ethanol, and methanol were from Merck. (Whitehouse Station, NJ, USA). The 2D Quant kit was purchased from GE Healthcare (Piscataway, NJ, USA). Dimethylated, proteomics grade trypsin from porcine pancreas was obtained from Sigma Aldrich.

Sample preparation

All preservation solution samples were centrifuged for 15 min at 1500 g and stored at −80°C until analysis. The samples were concentrated and prepared for IEF using the Ready Prep 2D clean-up kit. The resulting pellets were resuspended in buffer containing 7 M urea, 2 M thiourea, 4% CHAPS, and 20 mM Tris-HCl, pH 8.8. After centrifugation of the samples at 14,000 g for 15 min at 4°C, the supernatant was transferred to a clean microcentrifuge tube, and the protein concentration was determined using the 2D Quant kit according to the manufacturer’s protocol.

IEF/SDS PAGE and image analysis

The IEF and 2D PAGE analysis were done according to the manufacturer’s (Bio-Rad) protocol. The protein samples (150 μg) were mixed with 315 μl rehydration solution (7 M urea, 2 M thiourea, 4% CHAPS, 1% DTT, 0.2% ampholyte IPG pH 3–10, 5% glycerol, 10% isopropanol) and then incubated at room temperature for 20 min. They were then centrifuged for 5 min at 14,000 g, applied to 18-cm pH 3–10 IPG strips, and passively rehydrated overnight at room temperature. The proteins were focused using the following steps: 200 V (hold) for 15 min, 1000 V (gradient) for 3 h, 10000 V (hold) for 3 h, for a total of 55,000 V. Following IEF, the IPG strips were incubated first in 10 mL equilibration buffer (50 mM Tris-HCl, pH 8.8, 6 M urea, 30% glycerol, 2% SDS, 1% DTT, 0.002% bromophenol blue) for 15 min and then in alkylation buffer [50 mM Tris-HCl, pH 8.8, 6 M urea, 30% glycerol, 2% SDS, 4.5% (w/v) iodoacetamide, 0.002% bromophenol blue] for another 15 min. After incubation, the IPG strips were placed on top of the 12.5% SDS polyacrylamide gels and sealed with 1% agarose solution. The running conditions were 16 mA/gel for 30 min followed by 24 mA/gel for 5.5 h or until the dye ran out of the gel. The gels were subsequently stained using the ProteoSilver Plus Silver Stain Kit and imaged. The images were scanned using the HP Scanjet G4050 photo scanner and then analyzed and compared with the control gel image (human plasma) by gel matching. Protein spots that differed from the control were determined manually.

In-gel protein digestion

The selected protein spots were excised manually from the gels and digested with modified trypsin as follows [5]. Gel pieces destained using the ProteoSilver Plus Stain Kit were washed twice with 50% (v:v) aqueous acetonitrile containing 25 mM ammonium bicarbonate, then once with acetonitrile, and dried in a vacuum concentrator for 20 min. After incubation in 10 mM DTT (in 100 mM ammonium bicarbonate) for 30 min at 56°C and then in 55 mM iodoacetamide solution (in 100 mM ammonium bicarbonate) for 20 min at room temperature in the dark, the proteins were washed with acetonitrile and dried in a vacuum concentrator for 20 min. Proteins in the gel pieces were digested in 30 μl trypsin solution (20 μg trypsin/ml in 0.1 mM HCl, 40 mM ammonium bicarbonate, 9% acetonitrile) overnight at 37°C. The samples were then transferred into clean microcentrifuge tubes and dried to complete dryness in a vacuum concentrator. The peptide mixture was resuspended in 5 μl 0.1% trifluoroacetic acid for MALDI-TOF analysis.

MALDI-TOF peptide mass fingerprinting analysis

Samples were prepared according to the manufacturer’s protocol [6]. The sample solution was mixed with the CHHA matrix [α-cyano-4-hydroxycinnamic acid saturated in 50:50 (v/v) acetonitrile:trifluoroacetic acid (0.1%) in water] at a 1:1 ratio, deposited onto the ground-steel MALDI MTP 384 target plate (Bruker Daltonics, Bremen, Germany), and allowed to dry. The samples were analyzed using the Autoflex MALDITOF/TOF instrument (Bruker Daltonics) in positive reflectron mode. The instrument was set at the following acquisition parameters: laser; 70%, frequency: 60, mass range acquisition: 500–3500 Da, number of shots: 500, sample rate: 0.5 GS/S, electronic gain: 100 Mv. The spectra were calibrated using an external calibration standard (peptide calibration standard II; Bruker Daltonics). The data were analyzed using the recalibrated peak list generated by Flex Analysis (v. 2.4). The annotated spectra were transferred to BioTools (v. 3.0), with an interface to the MASCOT database search engine (www.matrixscience.com; Matrix Science, London, UK). The database parameters were as follows: SwissProt 2013_02 database; taxonomy: Homo sapiens, enzyme: trypsin, global modifications: carbamido methyl cysteine, mass values: MH+ monoisotopic, maximum missed cleavage sites: 1, peptide charge: 1 H+, mass tolerance MS: 100 ppm. Confidence in the peptide identifications was assessed based on the MASCOT sequence assignment score and visual inspection of the molecular mass and the pI values of the selected spots from the gels.

Q-TOF analysis

In addition to 2D gel electrophoresis/MALDI-TOF, a shotgun proteomic technique was used to obtain the complete protein profile of the preservation solution. Prior to Q-TOF analysis, the solution was subjected to immunodepletion (described below) to remove several of the major proteins that could have masked proteins of interest originally present in the preservation solution at low concentrations.

Immunodepletion

The Human 14 multiple affinity removal system (Agilent) was used to deplete highly abundant proteins from the preservation solution samples. Briefly, a 4.6× 50mm Hu14 column was equilibrated with buffer A at a flow rate of 0.125 ml/min for 10 min, after which 20 μl preservation solution sample were mixed with 80 μl buffer A and injected onto the column. Isocratic elution of the flow-through fraction with buffer A yielded the protein-depleted preservation solution samples; isocratic elution with buffer B at a flow rate of 1 ml/min yielded the highly bound abundant proteins. All of the samples were lyophilized and dissolved in 200 μl 50 mM ammonium bicarbonate solution and dialyzed overnight against 50 mM ammonium bicarbonate.

Trypsin digestion

A filter-aided sample preparation method was used to generate the tryptic peptides [7]. Briefly, 50 μg protein solution were incubated at 95°C for 15 min in Universal protein extraction buffer (Expedeon), washed with 6M urea in a 30-kDa cut-off spin column, alkylated with 10 mM iodoacetamide, and trypsinized overnight (1:100trypsin to protein ratio). The resulting tryptic peptides were diluted to 100 μg/μl and transferred to a liquid chromatography vial.

LC-MS/MS analysis and database search

LC-MS/MS analysis and protein identification were performed following our previously published protocol [8]. Briefly, for each experimental condition, 500 ng tryptic peptides in 5 μl of solution were analyzed using a nano LC-MS/MS system [nano ACQUITY ultra performance liquid chromatography and SYNAPT high definition mass spectrometer with a nano-lock spray ion source; (Waters)]. The columns were equilibrated with 97% mobile phase A (0.1% formic acid in LC-MS grade water (Merck); the column temperature was set to 45°C. The peptides were eluted from the trap column (Symmetry C18 5 μm, 180-μm i.d. × 20 mm, Waters) by gradient elution onto an analytical column (BEH C18, 1.7 μm, 75-μm i.d. × 250 mm, Waters) at a flow rate of 300 nl/min, with a gradient of 5–40% mobile phase B (0.1 formic acid in hyper grade acetonitrile, Merck), over a 90-min period. The MS parameters were set as reported previously [9]. The instrument was run in positive ion V mode, applying the MS and MS/MS functions over 1.5-s intervals with 6-V low-energy and 15- to 40-V high energy collisions. Glu-fibrinopeptide (internal mass calibrant) was infused every 45 s at a flow rate of 300 nl/min. Peptides with m/z values of 50–1600 were analyzed. Tandem mass data extraction, charge state deconvolution, and deisotoping were performed using the ProteinLynx Global Server v. 2.5 (Waters) and searched using the IDENTITYE algorithm, with a fragment-ion mass tolerance of 0.025 Da and a parent-ion tolerance of 0.0100 Da against the reviewed Homo sapiens protein database from Uniprot. The databank search query was set to a minimum of 3 fragment ion matches per peptide, a minimum of 7 fragment ion matches per protein, a minimum of 1 peptide match per protein, and 1 missed cleavage. The following variable modifications were also set: carbamido methyl-cysteine fixed modification, and acetyl N-TERM, asparagine and glutamine deamidation, and methionine oxidation. Progenesis LC-MS software v. 4.0 (Nonlinear Dynamics) was used to calculate the fold expression changes. Normalization across the sample set was based on the total ion intensities. After chromatographic alignment, normalization, and calculation of the peptide abundances and fold expression changes, an Excel file listing the normalized abundances of all the identified proteins was generated [10].

Determination of kidney proteins

The database of the Human Kidney and Urine Proteome Project [11] was used to determine kidney-derived proteins and peptides in the immunodepleted samples.

Statistical analysis

We used Kolmogorov-Smirnov test to evaluate the normality of the data. Correlations between variables were assessed using Spearman correlation analysis. Values of p<0.05 were considered as statistically significant.

Results

Only a limited number of proteins could be identified using 2D gel electrophoresis (Fig 1), whereas 206 proteins and peptides belonging to 139 different groups were identified and quantified using LC-MS/MS, in the preservation solutions of kidneys prior to transplantation (S1 Table). Within 139 protein groups 111 proteins groups belonged to kidney tissues (Table 1).

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Fig 1. Protein spots of kidney preservation solution identified by 2D gel electrophoresis.

https://doi.org/10.1371/journal.pone.0168755.g001

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Table 1. Proteins and peptides belonging to kidney tissues detected from preservation solution using LC-MS/MS (n:18).

https://doi.org/10.1371/journal.pone.0168755.t001

The hematological and biochemical test results of patients’ (n: 18) followed up for one year are given as supplemental data (S2 Table). The median and interquartile range of recipients’ serum BUN and creatinine levels were 8.9 mmol/L (7.3–10.9) and 120.2 μmol/L (102.5–156.5) respectively. As shown in Table 2, there were significant correlations between the levels of proteins (based on their ion intensities) of preservation solutions and donors’ age (23 proteins), CIT (5 proteins), recipients’ serum BUN (12 proteins) and creatinine (7 proteins) levels. Therefore, the levels of these proteins in preservation solution can potentially be used as a reporter of marginality of kidney prior to transplantation. Additionally, the levels of these proteins can be used also to evaluate the viability of organs prior to transplantation.

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Table 2. List of proteins and peptides that were isolated from kidney preservation solution which showed a statistically significant correlation with donors’ age (DA), cold ischemia time (CIT), creatinine (Cr) and blood urea nitrogen (BUN).

https://doi.org/10.1371/journal.pone.0168755.t002

Functional classification of the identified proteins was done with PANTHER overrepresentation test (http://www.pantherdb.org/). The test was run for the classifications based on pathways, molecular function, biological processes, cellular compartment, and protein class (Table 3). Based on the test the identified proteins exhibit overrepresentation of glycolysis related proteins (p = 9.85E-13) (Table 3A). The top 3 group of the identified proteins have molecular functions related to structural constituent of cytoskeleton (p = 1.09E-10), serine-type endopeptidase inhibitor activity (p = 7.73E-09), and peptidase inhibitor activity (p = 1.70E-08) (Table 3B). A large number of the identified proteins play a role in biological processes like cellular component organization or biogenesis (p = 4.47E-16) and cellular component morphogenesis (p = 4.57E-14) (Table 3C). PANTHER GO-Slim database shows that there is a overrepresentation of proteins from cellular compartments of actin cytoskeleton (p = 1.08E-07), and cytoskeleton (p = 6.29E-07) (Table 3D). The major overpresentation with the highest fold enrichment in terms of protein class was found to be histone (p = 1.82E-19), serine protease inhibitor (p = 8.04E-09) and actin family cytoskeletal protein (p = 1.89E-08) (Table 3E).

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Table 3. PANTHER Overrepresentation test (release 20160715) with annotation version 11.1.

Classification of identified proteins based on A) Pathways, B) Molecular Function, C) Biological Process, D) Cellular Component and E) Protein Class.

https://doi.org/10.1371/journal.pone.0168755.t003

Discussion

The contents of a pre-transplantation organ preservation solution provide a “liquid biopsy” of the transplanted organs and therefore carry valuable information about their survival and functionality. We isolated 111 kidney-derived proteins and peptide groups from the pre-transplantation preservation solution. Further analysis of the proteins showed that they originated from both extracellular and intracellular regions of the kidney tissue.

Many of these proteins and peptides were derived from the cytoskeleton and extracellular structures that form the tissue integrity. A group of these proteins showed significant correlations with DA, CIT, recipients’ BUN and creatinine levels (Table 2) as summarized below. Therefore, we propose that these proteins might serve as potential biomarkers for renal injury prior to transplantation.

Ischemia triggers a complex series of biochemical reactions that primarily effect the cytoskeleton [12], including the loss of cellular polarity and cytoskeletal reorganization. Thus, our finding of structural proteins in the kidney preservation solution was probably not a coincidence. For example, the expression and redistribution of microtubule cytoskeleton components, was observed to be induced after renal ischemia–reperfusion injury suggesting the participation of these proteins in an adaptive response to cellular lesions [13]. Likewise, another member of the cellular cytoskeleton, the actin filament network gets disrupted in ischemic kidney leading to the loss of tubule-cell polarity and redistribution of the basolateral membrane [14]. Consequently, the tight junction barrier becomes permeable [15], and cell-cell and cell-substrate adhesions are lost, resulting in the detachment of tubule cells from the basement membrane [12,16]. Alterations in the renal cell cytoskeleton related to ischemia may also induce apoptosis [12]. Indeed, chemically induced apoptosis is frequently preceded by the disorganization of the F-actin cytoskeleton [12,17]. Not surprisingly, the level of profilin, a major actin monomer interacting protein, was also correlated with the donors’ age and recipients’ serum BUN levels. Profilins were previously shown to be up-regulated in mesangial proliferative glomerulonephritis [18].

We found a positive significant correlation between perlecan and recipients’ serum BUN and creatinine levels. Perlecan accumulates during glomerular and vascular tissue remodeling that characterizes chronic transplant dysfunction (CTD) in rats [19].

In our study, we found a positive correlation between CIT and talin 1 which is pivotal for the activation of integrins and links them directly to the actin cytoskeleton. These interactions are important for attaching podocytes -specialized actin-rich epithelial cells -to the glomerular basement membrane [20]. Mice lacking talin1 specifically in their podocytes display severe proteinuria, foot process effacement, and kidney failure [20]. All these findings suggest that talin 1 could indeed be a strong candidate to evaluate the viability of the kidney prior to transplantation. We found a positive significant correlation between keratin type II cytoskeletal 8 and recipients’ serum creatinine levels (Table 2). Keratin is expressed by renal tubular epithelia cells and it was implicated with damaged tubular epithelial cell [21].

In our study we isolated myosin 6, 9 and 11 in preservation solution and found positive correlation with donors’ age. Several members of myosin superfamily are synthesized in podocytes. They form a network and their interaction with the actin cytoskeleton is crucial for the regulation of podocyte structure and function [22]. Myosins also have tubular functions and it was shown that myosin 9a-deficient mice develop proteinuria [23]. Another protein isolated in our work is collagen VI, which is produced by endothelial cells. This protein was significantly correlated with DA and recipients’ BUN levels. It has been shown that, antibodies recognizing collagen α1(VI)/α5(IV) play a crucial role in the pathogenesis of transplant glomerulopathy in rats[24]. Also, we isolated microfibril associated glycoprotein 4 from preservation solution and the level of this protein was significantly correlated with DA and recipients’ creatinine level. To the best of our knowledge this glycoprotein has previously not been linked to renal injury.

A second important group of proteins that we isolated from the preservation solution and found positive correlation with donors’ age, CIT, recipients’ BUN and creatinine levels comprised protective and metabolically active proteins (Table 2). These are also candidate biomarkers of kidney injury and summarized below briefly.

Aminoacylase 1 is a zinc-binding cytoplasmic protein which was shown to have its highest level of activity and expression in the kidney [25]. In renal transplant patients, serum aminoacylase-1 level has been used as a biomarker to evaluate the long-term outcome with delayed graft function [26]. Fructose-1,6-bisphosphatase (FBP-1) is one of the key enzymes of gluconeogenesis in the cytosol and mainly found in proximal renal tubules. Urine FBP-1 [27,28] levels were found to be associated with proximal tubular damage. Similarly, alpha 2 macroglobulin [29], aldose reductase [30], antithrombin III [31], ceruloplasmin [32], complements [33], hemopexin [34], histone [35] and adipocyte fatty acid binding protein [36] have all been implicated to associate with renal injury.

Renal cells demand high levels of energy due to their active energy-dependent functions such as reabsorption, secretion and filtration of many substances. Therefore, mitochondrial homeostasis is crucial for normal renal function. In our study we found significant correlation between the CIT and the levels of mitochondrial hydroxyl acyl coenzyme A dehydrogenase and ATP synthase subunit beta which suggests an increase in mitochondrial disruption with CIT. Whitaker et al. have recently shown increased urinary ATP synthase subunit beta in mice with renal injury and concluded that urinary ATP synthase subunit beta may be a novel and sensitive biomarker of renal mitochondrial dysfunction [37].

Other potential biomarkers of renal injury that were identified in our study based on their correlation with donors’ age, CIT, recipients’ serum BUN or creatinine levels are glyceraldehyde 3-phosphate dehydrogenase, malate dehydrogenase, peptidyl prolyl cis trans isomerase, mitochondrial 3 keto acyl CoA thiolase, adenylyl cyclase associated protein, aldo keto reductase, phosphatidyl ethanolamine binding protein, thyroxine binding globulin, cytosolic nonspecific dipeptidase, Isoform 2 of E3 ubiquitin protein ligase RNF135, fumaryl acetoacetase, isoform 2 of Polyamine modulated factor 1, retinal dehydrogenase 1 and Rho GDP dissociation inhibitor 1. Interestingly, these proteins were previously not been associated with renal injury. Therefore, it would be important to validate their potential link to renal disease in an independent experimental workflow.

During hypothermia, the metabolic rate of the kidney is depressed significantly. However, during the preservation period, some metabolic pathways are activated to protect renal tissues. In previous work, we showed that HSP levels are elevated in liver tissues placed in preservation solution prior to transplantation [38]. In the present study, several HSPs (Table 1) were detected in the preservation solution of the pre-transplanted kidney. Furthermore HSP90 beta and HSP70 protein 6 were correlated with CIT and donors’ age respectively (Table 2). HSPs are abundant intracellular proteins with functions including the regulation of protein complex formation, protein trafficking, targeting of misfolded proteins for proteasomal degradation, prevention of unfolded protein aggregation, refolding of denatured proteins, mitochondrial protein folding and assembly, and inhibition of apoptosis [39]. In the kidney, HSPs help maintain and restore normal cellular function following ischemia-reperfusion injury [40].

Limitations of the study

This study has some limitations that should be noted. During surgery, the blood is washed out of the kidney, and the organ’s vascular system is filled with preservation solution. However, the interstitial edema that occurs during the flushing-out period increases compression of the renal capillaries, which prevents complete removal of blood from the vascular system. We therefore could not confirm that the washing procedure was sufficiently thorough to remove blood from the kidney completely, and the blood may thus have remained in the preservation solution. To avoid artifacts related to the presence of blood and its constituents, the preservation solution samples were subjected to immunodepletion, which removed the most of these components. In future studies of deceased donor kidney transplantation, both immunodepletion and the use of a kidney proteomic database as a reference will contribute to avoiding study artifacts.

Conclusion

Taken together, in the present study we have shown that various extracellular proteins are released from the kidney to the preservation solution suggesting that the homeostasis of the extracellular matrix might be deteriorated during the preservation period. The dysregulation of extracellular matrix leads to interstitial fibrosis and cathepsin D may promote this process [41]. Currently, many transplant centers are accepting organs from older donors, even those with co-morbidities, due to the shortage of young healthy donors. Organs harvested from marginal donors are more prone to delayed graft function and therefore its adverse consequences. The proteins that show a positive correlation with donors’ age, CIT, recipients’ serum BUN and creatinine levels can be useful markers to assess the marginality and viability of organs prior to transplantation. Further clinical studies are required to evaluate the use of these proteins as potential biomarkers prior to their implementation in clinical practice. Moreover, the development of new preservation solutions which are capable of preserving organs effectively prior to transplantation remains a critical issue in clinical transplantation practice. The protein profile detected in the present study can be used to design new pharmacological agents that stabilize the cytoskeleton of renal cells and maintain the integrity of the kidney’s extracellular tissues. These will improve both organ preservation and transplant success.

Supporting Information

S1 Table. Main Dataset.

Proteins and peptides isolated from preservation solution of kidneys prior to transplantation

https://doi.org/10.1371/journal.pone.0168755.s001

(XLSX)

S2 Table. Receipents test results (Biochemistry and hematology).

Main biochemical and hematological test results of recipients during follow up period.

https://doi.org/10.1371/journal.pone.0168755.s002

(XLSX)

Author Contributions

  1. Conceptualization: AC IB IT CY.
  2. Data curation: AC ATB DK MA MOS GB KK IY.
  3. Formal analysis: AC ATB DK MA MOS GB HK KK MC IY.
  4. Funding acquisition: AC.
  5. Investigation: AC IB IT HK MC CY.
  6. Methodology: AC ATB DK MOS KK IY.
  7. Project administration: AC.
  8. Resources: AC.
  9. Software: ATB MOS.
  10. Supervision: AC ATB.
  11. Validation: AC ATB DK MOS.
  12. Visualization: AC ATB HK MC.
  13. Writing – original draft: AC ATB MOS.
  14. Writing – review & editing: AC ATB.

References

  1. 1. Spiegel HU, Palmes D. Organ preservation. Hakim NS, Danovitch G, editor. Transplantation Surgery. London: Springer–Verlag Press; 2001.
  2. 2. Chatauret N, Thuillier R, Hauet T. Preservation strategies to reduce ischemic injury in kidney transplantation: pharmacological and genetic approaches. Curr Opin Organ Transplant. 2011;16: 180–7. pmid:21415820
  3. 3. Desai MM, Gill IS, Ramani AP, Spaliviero M, Rybicki L, Kaouk JH. The impact of warm ischaemia on renal function after laparoscopic partial nephrectomy. BJU Int. 2005;95: 377–83. pmid:15679798
  4. 4. Hauet T, Eugene M. A new approach in organ preservation: potential role of new polymers. Kidney Int. 2008;74: 998–1003. pmid:18633345
  5. 5. http://proteomics.ucdavis.edu/protocols-2/ Accessed at February 2016
  6. 6. https://www.bruker.com/fileadmin/user_upload/8-PDFDocs/Separations_MassSpectrometry/InstructionForUse/Bruker_Guide_MALDI_Sample_Preparation_Rev2.pdf
  7. 7. Kaga E, Karademir B, Baykal AT, Ozer NK. Identification of differentially expressed proteins in atherosclerotic aorta and effect of vitamin E. J Proteomics. 2013;92: 260–73. pmid:23796494
  8. 8. Tang Z, Baykal AT, Gao H, Quezada HC, Zhang H, Bereczki E, et al. mTor Is a Signaling Hub in Cell Survival: A Mass-Spectrometry-Based Proteomics Investigation. J Proteome Res. 2014;13: 2433–2444. pmid:24694195
  9. 9. Baykal AT, Baykal B, Serhatli M, Adiguzel Z, Tuncer MA, Kacar O. Proteomic evidence for the plasticity of cultured vascular smooth muscle cells. Turkish J Biol. 2013;37: 414–425.
  10. 10. Serhatli M, Baysal K, Acilan C, Tuncer E, Bekpinar S, Baykal AT. Proteomic Study of the Microdissected Aortic Media in Human Thoracic Aortic Aneurysms. J Proteome Res. 2014;13: 5071–5080. pmid:25264617
  11. 11. http://www.hkupp.org/. Accessed at August 2016.
  12. 12. Genescà M, Sola A, Hotter G. Actin cytoskeleton derangement induces apoptosis in renal ischemia/reperfusion. Apoptosis. 2006;11: 563–571. pmid:16528472
  13. 13. Caron A, Desrosiers RR, Béliveau R. Kidney ischemia-reperfusion regulates expression and distribution of tubulin subunits, beta-actin and rho GTPases in proximal tubules. Arch Biochem Biophys. 2004;431: 31–46. pmid:15464724
  14. 14. Molitoris BA, Dahl R, Geerdes A. Cytoskeleton disruption and apical redistribution of proximal tubule Na(+)-K(+)-ATPase during ischemia. Am J Physiol. 1992;263: F488–95. Available: http://www.ncbi.nlm.nih.gov/pubmed/1329535 pmid:1329535
  15. 15. Molitoris BA, Falk SA, Dahl RH. Ischemia-induced loss of epithelial polarity. Role of the tight junction. J Clin Invest. 1989;84: 1334–1339. pmid:2551926
  16. 16. Goligorsky MS, Lieberthal W, Racusen L, Simon EE. Integrin receptors in renal tubular epithelium: new insights into pathophysiology of acute renal failure. Am J Physiol. 1993;264: F1–8. Available: http://www.ncbi.nlm.nih.gov/pubmed/8430820 pmid:8430820
  17. 17. Kruidering M, van de Water B, Zhan Y, Baelde JJ, Heer E, Mulder GJ, et al. Cisplatin effects on F-actin and matrix proteins precede renal tubular cell detachment and apoptosis in vitro. Cell Death Differ. 1998;5: 601–14. pmid:10200515
  18. 18. Tamura M, Tanaka H, Hirano T, Ueta Y, Higashi K, Hirano H. Enhanced Glomerular Profilin Gene and Protein Expression in Experimental Mesangial Proliferative Glomerulonephritis. Biochem Biophys Res Commun. 1996;222: 683–687. pmid:8651905
  19. 19. Rienstra H, Katta K, Celie JWAM, van Goor H, Navis G, van den Born J, et al. Differential expression of proteoglycans in tissue remodeling and lymphangiogenesis after experimental renal transplantation in rats. PLoS One. 2010;5: e9095. pmid:20140097
  20. 20. Tian X, Kim JJ, Monkley SM, Gotoh N, Nandez R, Soda K, et al. Podocyte-associated talin1 is critical for glomerular filtration barrier maintenance. J Clin Invest. 2014;124: 1098–113. pmid:24531545
  21. 21. Gröne HJ, Weber K, Gröne E, Helmchen U, Osborn M. Coexpression of keratin and vimentin in damaged and regenerating tubular epithelia of the kidney. Am J Pathol. 1987;129: 1–8. Available: http://www.ncbi.nlm.nih.gov/pubmed/2444108 pmid:2444108
  22. 22. Noris M, Remuzzi G. Non-muscle myosins and the podocyte. Clin Kidney J. 2012;5: 94–101.
  23. 23. Thelen S, Abouhamed M, Ciarimboli G, Edemir B, Bähler M. Rho GAP myosin IXa is a regulator of kidney tubule function. Am J Physiol Renal Physiol. 2015;309: F501–13. pmid:26136556
  24. 24. Joosten SA, van Dixhoorn MGA, Borrias MC, Benediktsson H, van Veelen PA, van Kooten C, et al. Antibody response against perlecan and collagen types IV and VI in chronic renal allograft rejection in the rat. Am J Pathol. 2002;160: 1301–10. pmid:11943715
  25. 25. Yamauchi A, Ueda N, Hanafusa S, Yamashita E, Kihara M, Naito S. Tissue distribution of and species differences in deacetylation of N-acetyl-L-cysteine and immunohistochemical localization of acylase I in the primate kidney. J Pharm Pharmacol. 2002;54: 205–12. Available: http://www.ncbi.nlm.nih.gov/pubmed/11848284 pmid:11848284
  26. 26. Welberry Smith MP, Zougman A, Cairns DA, Wilson M, Wind T, Wood SL, et al. Serum aminoacylase-1 is a novel biomarker with potential prognostic utility for long-term outcome in patients with delayed graft function following renal transplantation. Kidney Int. 2013;84: 1214–25. pmid:23739232
  27. 27. Pfaller W, Thorwartl U, Nevinny-Stickel M, Krall M, Schober M, Joannidis M, et al. Clinical value of fructose 1,6 bisphosphatase in monitoring renal proximal tubular injury. Kidney Int Suppl. 1994;47: S68–75. Available: http://www.ncbi.nlm.nih.gov/pubmed/7532742 pmid:7532742
  28. 28. Kepka A, Szajda SD, Zwierz K. [Fructose-1,6-bisphosphatase—marker of damage to proximal renal tubules]. Pol Merkur Lekarski. 2008;24: 125–30. Available: http://www.ncbi.nlm.nih.gov/pubmed/18634268 pmid:18634268
  29. 29. Nanda N, Juthani-Mehta M. Novel biomarkers for the diagnosis of urinary tract infection-a systematic review. Biomark Insights. 2009;4: 111–21. Available: http://www.ncbi.nlm.nih.gov/pubmed/19707519 pmid:19707519
  30. 30. Gottmann U, Brinkkoetter PT, Hoeger S, Gutermann K, Coutinho ZM, Ruf T, et al. Atorvastatin donor pretreatment prevents ischemia/reperfusion injury in renal transplantation in rats: possible role for aldose-reductase inhibition. Transplantation. 2007;84: 755–62. pmid:17893609
  31. 31. Wang F, Zhang G, Lu Z, Geurts AM, Usa K, Jacob HJ, et al. Antithrombin III/SerpinC1 insufficiency exacerbates renal ischemia/reperfusion injury. Kidney Int. 2015;88: 796–803. pmid:26108065
  32. 32. Baron P, Gugliuzza K, Rajaraman S, Thompson JC. Ceruloplasmin and deferoxamine prevent ischemia-reperfusion damage in kidney transplantation. Ann N Y Acad Sci. 1994;723: 401–2. Available: http://www.ncbi.nlm.nih.gov/pubmed/8030896 pmid:8030896
  33. 33. Lefaucheur C. Complement activation in kidney transplantation: from risk stratification to therapeutic strategies. Clin Exp Immunol. 2014; 57–8.
  34. 34. Zager RA, Johnson ACM, Becker K. Renal cortical hemopexin accumulation in response to acute kidney injury. Am J Physiol Renal Physiol. 2012;303: F1460–72. pmid:22993068
  35. 35. Zager RA, Johnson ACM. Renal ischemia-reperfusion injury upregulates histone-modifying enzyme systems and alters histone expression at proinflammatory/profibrotic genes. Am J Physiol Renal Physiol. 2009;296: F1032–41. pmid:19261745
  36. 36. Ebert T, Hopf LM, Wurst U, Bachmann A, Kralisch S, Lössner U, et al. Circulating adipocyte fatty acid binding protein is increased in chronic and acute renal dysfunction. Nutr Metab Cardiovasc Dis. 2014;24: 1027–34. pmid:24813306
  37. 37. Whitaker RM, Korrapati MC, Stallons LJ, Jesinkey SR, Arthur JM, Beeson CC, et al. Urinary ATP Synthase Subunit β Is a Novel Biomarker of Renal Mitochondrial Dysfunction in Acute Kidney Injury. Toxicol Sci. 2015;145: 108–17. pmid:25666834
  38. 38. Gunal O, Coskun A, Aslaner A, Yildirim U. Does melatonin alleviate cold preservation injury of the liver? Turkish J Med Sci. 2010;40: 465–470.
  39. 39. Kelly KJ. Heat shock (stress response) proteins and renal ischemia/reperfusion injury. Contrib Nephrol. 2005;148: 86–106. pmid:15912029
  40. 40. O’Neill S, Harrison EM, Ross JA, Wigmore SJ, Hughes J. Heat-shock proteins and acute ischaemic kidney injury. Nephron Exp Nephrol. 2014;126: 167–74. pmid:24923736
  41. 41. Fox C, Cocchiaro P, Oakley F, Howarth R, Callaghan K, Leslie J, et al. Inhibition of lysosomal protease cathepsin D reduces renal fibrosis in murine chronic kidney disease. Sci Rep. 2016;6: 20101. pmid:26831567