Open Access

Proteomic analysis of differentially expressed proteins in kidneys of brain dead rabbits

  • Authors:
    • Ling Li
    • Ning Li
    • Chongxiang He
    • Wei Huang
    • Xiaoli Fan
    • Zibiao Zhong
    • Yanfeng Wang
    • Qifa Ye
  • View Affiliations

  • Published online on: May 19, 2017     https://doi.org/10.3892/mmr.2017.6609
  • Pages: 215-223
  • Copyright: © Li et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

A large number of previous clinical studies have reported a delayed graft function for brain dead donors, when compared with living relatives or cadaveric organ transplantations. However, there is no accurate method for the quality evaluation of kidneys from brain‑dead donors. In the present study, two‑dimensional gel electrophoresis and MALDI‑TOF MS‑based comparative proteomic analysis were conducted to profile the differentially‑expressed proteins between brain death and the control group renal tissues. A total of 40 age‑ and sex‑matched rabbits were randomly divided into donation following brain death (DBD) and control groups. Following the induction of brain death via intracranial progressive pressure, the renal function and the morphological alterations were measured 2, 6 and 8 h afterwards. The differentially expressed proteins were detected from renal histological evidence at 6 h following brain death. Although 904±19 protein spots in control groups and 916±25 in DBD groups were identified in the two‑dimensional gel electrophoresis, >2‑fold alterations were identified by MALDI‑TOF MS and searched by NCBI database. The authors successfully acquired five downregulated proteins, these were: Prohibitin (isoform CRA_b), beta-1,3‑N-acetylgalactosaminyltransferase 1, Annexin A5, superoxide dismutase (mitochondrial) and cytochrome b‑c1 complex subunit 1 (mitochondrial precursor). Conversely, the other five upregulated proteins were: PRP38 pre‑mRNA processing factor 38 (yeast) domain containing A, calcineurin subunit B type 1, V‑type proton ATPase subunit G 1, NADH dehydrogenase [ubiquinone] 1 beta subcomplex subunit 10 and peroxiredoxin‑3 (mitochondrial). Immunohistochemical results revealed that the expressions of prohibitin (PHB) were gradually increased in a time‑dependent manner. The results indicated that there were alterations in levels of several proteins in the kidneys of those with brain death, even if the primary function and the morphological changes were not obvious. PHB may therefore be a novel biomarker for primary quality evaluation of kidneys from brain‑dead donors.

Introduction

Brain dead donors are becoming a major source of organ transplantation in China (13). Although the number of kidney transplantations from brain dead donors has markedly increased, the supply of donor kidneys still do not meet requirements (4,5). In addition, the outcome of patients receiving grafts from donation after brain death (DBD) in kidney transplantation is often unoptimistic, which mainly involves delayed graft function, primary non-function, acute rejection following transplantation and high levels of urine creatinine (Cr) following 5 years (6,7).

Furthermore, previous studies reported that the injury to organs from brain dead donors may be related to hemodynamic changes, the release of inflammatory cytokines, apoptosis, consumption of coagulation factors, endocrine and hormonal changes (810). The relevant pathophysiological alterations impacted on the quality of brain-dead organ donors and may be the key issues constraining the wide use of organs from brain dead donors (1114). However, the specific details remain unclear. An accurate method is required urgently in order to evaluate the quality of donor kidneys.

In recent years, mass spectrometry (MS)-based proteomics, which was first introduced for the aim of global characterization of a proteome, including protein expression, structure, modifications, functions and interactions has developed rapidly and its quantitative accuracy has improved dramatically (15). A previous study of the authors has demonstrated the difference in protein expression in livers affected by brain death compared with normal livers and one of the typical downregulated biomarkers in brain death livers the Runt-related transcription factor 1 (RUNX1) (16). Using this previous study, the authors used high-resolution MS-based proteomics to identify differentially expressed proteins and study preliminarily the mechanism of kidney injury induced by brain death.

Materials and methods

Animals

A total of 30 12-week-old male rabbits (weight, 3,000–3500 g; Wuhan Wan Qian Jia He Experimental Animal Breeding Center, Wuhan, China) were randomly divided into two groups: Control (n=15) and the DBD groups (n=15). Each group was further divided into four subgroups, according to the 2, 6 and 8 h time points after brain death (n=5 each). The rabbits were housed in a 12 h light/dark cycle and temperature-controlled environment and had free access to food and water in the Experimental Animal Center of Wuhan University (Wuhan, China). All animal experiments were conducted under institutional guidelines and approved by the Ethical Committee for Animal Care and Use of Wuhan University (Wuhan, China) according to animal protocol.

Establishment of the model of rabbit brain death

Similar to the establishment of a pig brain death model (17), a novel model involving progressive intracranial pressure was established. All rabbits were anesthetized with an injection of 1% pentobarbital sodium (40 mg/kg; Shandong Xinhua Pharmaceutical Co., Ltd., Zibo, China). The rabbits were placed in a supine position and cannulation of the femoral artery and vein was performed, as was xiphoid separation and tracheal intubation, thus allowing for burr hole and catheter placement. In addition, the animals were maintained during the procedure with the assistance of a biological functional system, a rodent ventilator and an intelligent temperature control instrument (Chengdu Thai Union technology Co. Ltd., Chengdu, China). This allows for several parameters to be quantified, including respiration and heart activity, using a ventilator and electrocardiogram, respectively. The intracranial pressure was gradually increased until brain death occurred.

Renal function measuring

Blood samples were collected from each rabbit at the points of 2, 6 and 8 h following brain death to determine blood urea nitrogen and creatinine levels, quantified by the Beckman Kurt AU680 automatic biochemical analyzer (Beckman Coulter Co., Ltd. Shanghai, China).

Histomorphometrical evaluation

The pathological samples were fixed in paraformaldehyde, embedded in paraffin, sectioned (4 mm thickness), and stained for 5 min with hematoxylin and eosin for examination. A pathologist, who was blind to the experimental groups, analyzed the sections.

Protein extraction and 2-DE proteomics profiling

Protein concentration of the supernatant was measured with the Quanti Pro BCA assay kit (Sigma-Aldrich; Merck KGaA, Darmstadt, Germany) using 2 mg/ml bovine serum albumin (Beijing Bioco Laibo Technology Co. Ltd., Beijing, China). Samples were de-salted and concentrated with the 2-D Clean-Up kit (cat. no. 80-6484-51; GE Healthcare Life Sciences, Pittsburgh, PA, USA) following manufacturer's instructions, following by dissolving with sample buffer. A total of 150 µg protein from the control groups and those in the 6 h experimental group were mixed with rehydration buffer which was composed of 7 mol/l carbamide, 2 mol/l sulfocarbamide, 4% 3-3-Cholamidopropyldimethylammonio-propanesulfonate, 65 mmol/l dithiothreitol, 0.2% BioLyte and 0.001% bromophenol blue. The mixture was in turn isoelectrically focused at 500 V for 1 h, 1,000 for 1 h, 3,000 V for 1 h and 8,000 V for 9.5 h following rehydration for 12 h at 30 V using Immobiline IPG DryStrips (GE Healthcare Life Sciences) with an Ettan IPGphor Electrophoresis system (GE Healthcare Bio-Sciences). IPG strips were applied for 12% SDS-PAGE using a PROTEAN® II xi Cell system (Bio-Rad Laboratories, Inc., Hercules, California, USA) following equilibration for 2×15 min subsequently in the equilibration buffer including 1% dithiothreitol and 4% iodoacetamide. The temperature was maintained at 20°C throughout by use of an external cooler. Following staining with Coomassie Brilliant Blue G-250 solution (Beyotime Institute of Biotechnology, Haimen, China), the gels were run overnight using a constant current of 2 mA/gel. Each sample was measured in triplicate.

Gel image acquisition and analysis

The SDS-PAGE gels were scanned by the LabScan software (GE Healthcare Life Sciences,) to get the electron images of 2D gel. The 170–9620 PDQuest Basic 2-D Analysis software (Bio-Rad Laboratories, Inc.) was applied to detect protein spots, subduct background, normalize, match, establish an average gel and compare differences, respectively. A total of 6 2-D electrophoresis (E) maps in three replicates were analyzed by the software and compared to identify differentially-expressed proteins. A protein was considered to be expressed differentially if there was >two-fold difference in the spectral count ratios between the two samples.

Protein identification

Among these exclusive spots identified by 2-DE image analysis, protein components of the 10 most prominent spots were investigated using a 4700 proteomics analyzer (Applied Biosystems; Thermo Fisher Scientific, Waltham, MA, USA). The protein spots excised from 2-D gels were subjected to de-staining, washing and in-gel digestion with protease trypsin at 37°C overnight, following the description of Shevchenko et al (18). The digestion was stopped the next morning by adding acetic acid to lower the pH to <6, and the samples were centrifuged at 10,000 × g and 25°C for 20 sec to remove insoluble material. Re-dissolving in 0.5% trifluoroacetic acid, the peptide mixtures were detected by the Voyager-DE STR 4307 MALDI-TOF-MS tandem mass spectrometry (Applied Biosystems; Thermo Fisher Scientific, Inc.). The proteins were identified using the Mascot Distiller 2.0 software (Matrix Science Ltd., London, UK). The mass spectra collected in the experiment were analyzed using the Swiss-Prot protein database (19). Protein scores >56 were regarded as significant. The one with the highest score was taken into account, if one spot was matched >1 protein member.

Re-identification of typical proteins by western blot analysis

To further identify the differentially expressed proteins, three typical differential proteins named prohibitin (PHB), superoxide dismutase (SOD2) and cytochrome b-c1 complex subunit 1 (UQCRC1) in two groups was detected by western blot analysis. Briefly, per sample, three 20 µm cryostat sections were lysed in 200 µl radioimmunoprecipitation assay buffer containing protease inhibitors (Boston Bioproducts, Ashland, MA, USA). Samples were lysed on ice, centrifuged for 10 min at 10,000 × g (4°C) and supernatants were collected. Protein concentrations of the lysates were measured using a QuantiPro BCA assay kit. Proteins were loaded onto polyacrylamide gel and separated using 10% SDS-PAGE using the PROTEAN® II xi Cell system (Bio-Rad Laboratories, Inc.). Gels were then transferred onto a polyvinylidene difluoride membrane (0.2 µm; EMD Millipore, Billerica, MA, USA). Following blocking for nonspecific antibody binding with 5% nonfat milk overnight and probing with primary rabbit polyclonal antibody against PHB (cat. no. ab75766; 1:1,000), SOD2 (cat. no. ab1398; 1:1,000) and UQCRC1 (cat. no. ab84901; 1:1,000 (all obtained from Abcam, Cambridge, MA, USA) for 1 h at 37°C. Then, the proteins were detected on the blot using horseradish peroxidase (HRP)-conjugated goat anti-rabbit IgG H&L (cat. no. ab6702; 1:10,000; Abcam) at 37°C for 30 min visualized at 800 nm fluorescence channels. β-actin was used as an internal control. The blot was developed and quantified by Odyssey Infrared Imaging System version 3.0 (LI-COR Biosciences, Lincoln, NE, USA) following the manufacturer's instructions.

Re-identification of typical protein by immunohistochemistry

PHB levels were further examined using immunohistochemistry. The kidney tissues from control and experimental groups of 2, 6 and 8 h following brain death were fixed with 4% paraformaldehyde for 24 h, dehydrated and embedded in paraffin. Paraffin blocks were sectioned into 5 µm-thick slices and fixed with a chilled 1:1 mixture of methanol:acetone for 5 min following pretreatment with 0.3% hydrogen peroxide for 20 min at room temperature. For PHB-specific staining, the sections were incubated by primary polyclonal rabbit antibody (cat. no. ab75766; 1:1,000; Abcam) for 1 h at 37°C. Subsequently, incubation with HRP-conjugated goat anti-rabbit IgG H&L (1:10,000; Abcam, Cambridge, MA, USA) at 37°C for 30 min was followed by reaction with 3,3-diaminobenzidine substrate solution and counterstaining with hematoxylin. A total of five random fields of view of each stained section were pictured and analyzed using morphometric software (MIAS-2000 medical image analysis system; Beijing University of Aeronautics and Astronautics, Beijing, China) by an investigator blind to the study group.

Statistical analysis

Statistical analyses of the data were performed using SPSS software (version, 18.0; SPSS Inc., Chicago, IL, USA). All the data are expressed as mean ± standard deviation. The differences between more than two groups, BUN and Cr values were compared and the relative absorbance of PHB, SOD and UQCRC1 were assessed with a one-way analysis of variance and the post hoc tests used was Student-Newman-Keuls. P<0.05 was considered to indicate a statistically significant difference.

Results

The alteration of renal function

The results indicated that there were no obvious differences in serum BUN levels in the DBD group compared with those in both the previous time point group and the control group during the period following brain death induction to 8 h after this point (P>0.05; Fig. 1A). However, obvious serum Cr level alterations were observed 6 and 8 h following brain death, when compared with those in the control group (P<0.05; Fig. 1B). Particularly, compared with the control group, serum Cr level in the 8 h improved significantly (P<0.05; Fig. 1B).

The morphological alteration of kidney

Using the light microscope, kidney cells in the control groups were arranged in neat rows and were stained evenly at different time points. In addition, the structure of glomerular and renal tubule was normal (Fig. 2). The structure of glomerulus in DBD groups at 2 h was relatively normal, as reflected by its similarities to the 2 h control group. In addition, the proximal convoluted tubule at 2 h was similar. However, in the 6 h DBD group, the local vascular dilation and congestion, as well as the degeneration and necrosis in some tubules and the atrophy in some glomeruli, was also observed. In the 8 h DBD group, some tubules had obvious degeneration and even presented cellular edema. Furthermore, vacuolar degeneration in kidney cells and proximal convoluted tubule occlusion were observed (Fig. 2).

The 2-DE proteomic profiling of different proteins

The total protein maps of the kidney tissue in the 6 h control group and 6 h DBD group were observed and analyzed by 2-DE. Stained with Coomassie Brilliant Blue, high resolution 2-DE maps were observed in triplicate. The PDQuest Basic 2-D Analysis software was applied to detect protein spots, subduct background, normalize, match and establish an average gel, respectively. Selecting the weakest, smallest and strongest points, the software synthesized a new gel using the protein point data and matched each other to acquire the map of differentially-expressed proteins. Finally, these differentially-expressed proteins (with a >2-fold difference) were identified. The results demonstrated that 904±19 protein spots in control groups could be detected and 916±25 protein spots in the DBD group could be detected. There were ~45 protein spots that were differentially expressed identified by Voyager-DE STR 4307 MALDI-TOF-MS tandem mass spectrometry analysis. Compared with control groups, 24 proteins were upregulated and 21 proteins were downregulated in DBD experimental groups. The 2-DE map is on presented in Fig. 3A. Partial enlargement of the differentially expressed proteins is presented in Fig. 3B.

Mass spectrum identification and the function classification of different proteins

Excised from the gel, 13 enzymolysis proteins were analyzed by MS to obtain peptide mass fingerprinting and peptide sequence tags, respectively. Using Mascot to query the SWISS-PROT database, the authors identified ten differential expressed proteins. A total of six were upregulated, whereas the other four proteins were downregulated in hepatocellular carcinoma. According to their functions, the proteins were classified as the following groups: Proteins associated with proliferation and differentiation, proteins associated with signal transduction, proteins associated with their modification, proteins associated with the electron transport chain and proteins associated with oxidation reduction. Subcellular localization of these proteins was analyzed using detailed information given by the Swiss-Prot database. These proteins were localized in cytoplasm, mitochondria and nucleus. The detailed information of subcellular localization is listed in Table I.

Table I.

Proteins identified by mass spectrometry.

Table I.

Proteins identified by mass spectrometry.

Intensity of protein expression (IHC)

Protein no.Protein nameaGene nameAccession nobpIcSequence coverage (%)Mascot scoreMWC (Da)Subcellular localizationBiological function ControldBrain deathe P-valuef
  1Prohibitin,PHBP677795.576519429859MitochondriaProliferation   89274136620<0.05
isoform Cell membrane Differentiation
CRA_b Cytoplasm
  2PRP38 pre-mRNAPRPF38AD3ZGL56.6336  7410044CytoplasmProtein   34122116846<0.05
processing factor modification
38 (yeast) domain
containing A
  3Beta-1,3-N-B3GALNT1Q6AY397.1833  7539531CytoplasmProtein   88192   21820<0.05
acetylgalactos Cell membranemodification
aminyltransferase 1
  4Annexin A5ANXA5P146684.9332  6435807CytoplasmCoagulation116252   72511<0.05
function
  5CalcineurinCANB1P631004.6439  5719402CytoplasmSignal   70458137404<0.05
subunit B type 1 transduction
  6SuperoxideSOD2P096718.9625  5624887CytoplasmOxidation69771   28887<0.05
dismutase [Mn], reduction
mitochondrial
  7V-type protonATP6V1G1O753486.7528  6913816CytoplasmIon   7811   12435<0.05
ATPase transportation
subunit G 1
  8Cytochrome b-c1 complex subunit 1, mitochondrial precursorUQCRC1P862015.573211253500MitochondriaElectron transport chain   90833   40277<0.05
  9NADH [ubiquinone] 1 beta subcomplex subunit 10NDUFB10Q9DCS97.5731  7521131MitochondriaElectron transport chain   93262142973<0.05
10Peroxiredoxin-3, mitochondrialPRDX3Q9Z0V67.6761  7128017Mitochondria microsomesOxidation reduction   70842106290<0.05

a Peptide and fragment ion masses were used to search against the Swiss-Prot databases for protein identifications using the Mascot software. Ion scores (based on mass/mass spectra) were from MALDI-TOF/TOF identification. A Mascot score of >56 was considered as significant (P<0.05).

b Accession numbers were derived from the Swiss-Prot database.

c Theoretical MW or pI were from the UniProt database.

d The Intensity 2-DE Images of protein expression in the control groups.

e The Intensity Images of protein expression in the group of 6 h following brain death.

f P<0.05 indicates a statistically significant difference compared with the control group. MW, molecular weight; pI, isoelectric point.

Identification and re-identification of typical proteins

A representative peptide mass fingerprinting map of PHB, SOD2 and UQCRC1 protein spots 1, 6 and 8 is demonstrated in Fig. 4A-C. MS/MS analysis demonstrated that the Mascot score and the sequence coverage of PHB, SOD2 and UQCRC1 were 194 + 65, 56 + 25 and 112 + 32%, respectively. As presented in the western blotting, PHB proteins band in the control groups expressed at a low level. The expression of PHB proteins in kidney tissue from DBD groups increased over time and was highest at 8 h following brain death. In contrast, the expression of SOD2 and UQCRC1 proteins in DBD groups were significantly lower those in the respective control groups (SOD2, P<0.05 at 2 and 6 h; UQCRC1, P<0.05 at 2, 6 and 8 h). (Fig. 5).

Re-identification of PHB protein using immunohistochemistry

The prohibitin was detected as the yellow brown granular in cytoplasm of renal tubular epithelial cells. The expression of PHB proteins was detected at 2, 6 and 8 h in DBD groups and control groups using immunohistochemistry (Fig. 6).

Discussion

Brain death refers to the irreversible cessation of all functions of the entire brain including the brainstem, as well as a potential future direction in studies involving organ use (20). Many studies have argued that the poor outcomes organs following brain death were mainly associated with hemodynamic alterations (21,22), the release of inflammatory cytokines (2325), consumption of coagulation factors (26,27) and endocrine and hormonal changes (2830). However, the molecular mechanism underlying how the status of brain death organs influences the transplantation outcomes remains unclear. Mikhova et al (31) established a porcine model to demonstrate that hemoadsorption of cytokines attenuates brain death-induced ventricular dysfunction. Similar to the method of Pratschke et al (17), in the present study, a novel technique involving progressive intracranial pressure brain death model was used, with the help of a biological functional system, a rodent ventilator and an intelligent temperature control instrument. To ensure that the model induced brain death in a similar fashion to genuine cases, continuous breathing and an electroencephalogram were monitored in real time.

Proteins perform various life functions and have a vital role in cells (32); therefore, identifying differentially expressed proteins in rabbit kidney induced by brain death should provide persuasive evidence that can reveal the molecular mechanism underlying how organs status following brain death influences transplantation outcomes. One of the authors' previous studies using rabbits focused on examining the alterations to liver protein expression (16). A relatively small number of studies have been published on rabbits' kidney injury induced by brain death, including hemodynamic changes, release of inflammatory cytokines, apoptosis, consumption of coagulation factors, endocrine and hormonal changes (13). To the best of our knowledge, no prior studies have used proteomics to investigate differentially expressed proteins in rabbit kidney induced by brain death. The results of the current study demonstrated that protein spot 2-DE distribution patterns of DBD groups are greatly different from control groups. A total of 45 spots in the 2-DE gels presented a statistically significant difference in expression. From these spots, a total of 10 altered proteins were identified primarily using MS analysis. One of the downregulated proteins was identified as PHB protein, using the Swiss-Prot database. The peptide pieces (m/z 1396.8) from this protein scored 194 points and the sequences coverage was 65%. Because PHB protein is associated with cell proliferation and differentiation, it raised a high level of concern. PHB protein has been identified as a molecular factor that can mediate anti-apoptotic signals, and is essential for mitochondrial function. It is a member of a highly conserved family of proteins that are thought to serve major roles in cell cycle control, differentiation, senescence and apoptosis (33). Liu et al (34) has previously indicated that downregulation of PHB can trigger oxidative stress and result in organ or tissue damage. Using immunohistochemistry techniques in the present study, PHB protein was screened and identified, as it may be associated with injury induced by brain death. To ensure the reliability of preliminary screening and the feasibility of follow-up study, the expression of PHB proteins in kidney tissues was validated. As demonstrated, the expression of PHB proteins in kidney tissue from DBD groups increased over time, which indicated that PHB protein may be a key factor affecting the kidney injury.

Acknowledgements

The present study was supported by the National Natural Science Foundation of China (grant no. U1403222) and the Natural Science Fund of Hubei Province (grant no. 2015CFA018).

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Li L, Li N, He C, Huang W, Fan X, Zhong Z, Wang Y and Ye Q: Proteomic analysis of differentially expressed proteins in kidneys of brain dead rabbits. Mol Med Rep 16: 215-223, 2017
APA
Li, L., Li, N., He, C., Huang, W., Fan, X., Zhong, Z. ... Ye, Q. (2017). Proteomic analysis of differentially expressed proteins in kidneys of brain dead rabbits. Molecular Medicine Reports, 16, 215-223. https://doi.org/10.3892/mmr.2017.6609
MLA
Li, L., Li, N., He, C., Huang, W., Fan, X., Zhong, Z., Wang, Y., Ye, Q."Proteomic analysis of differentially expressed proteins in kidneys of brain dead rabbits". Molecular Medicine Reports 16.1 (2017): 215-223.
Chicago
Li, L., Li, N., He, C., Huang, W., Fan, X., Zhong, Z., Wang, Y., Ye, Q."Proteomic analysis of differentially expressed proteins in kidneys of brain dead rabbits". Molecular Medicine Reports 16, no. 1 (2017): 215-223. https://doi.org/10.3892/mmr.2017.6609