Skip to main content
BioMed Research International logoLink to BioMed Research International
. 2014 Sep 16;2014:498410. doi: 10.1155/2014/498410

Proteomic Identification of Altered Cerebral Proteins in the Complex Regional Pain Syndrome Animal Model

Francis Sahngun Nahm 1, Zee-Yong Park 2, Sang-Soep Nahm 3, Yong Chul Kim 4, Pyung Bok Lee 1,*
PMCID: PMC4182003  PMID: 25313364

Abstract

Background. Complex regional pain syndrome (CRPS) is a rare but debilitating pain disorder. Although the exact pathophysiology of CRPS is not fully understood, central and peripheral mechanisms might be involved in the development of this disorder. To reveal the central mechanism of CRPS, we conducted a proteomic analysis of rat cerebrum using the chronic postischemia pain (CPIP) model, a novel experimental model of CRPS. Materials and Methods. After generating the CPIP animal model, we performed a proteomic analysis of the rat cerebrum using a multidimensional protein identification technology, and screened the proteins differentially expressed between the CPIP and control groups. Results. A total of 155 proteins were differentially expressed between the CPIP and control groups: 125 increased and 30 decreased; expressions of proteins related to cell signaling, synaptic plasticity, regulation of cell proliferation, and cytoskeletal formation were increased in the CPIP group. However, proenkephalin A, cereblon, and neuroserpin were decreased in CPIP group. Conclusion. Altered expression of cerebral proteins in the CPIP model indicates cerebral involvement in the pathogenesis of CRPS. Further study is required to elucidate the roles of these proteins in the development and maintenance of CRPS.

1. Introduction

Complex regional pain syndrome (CRPS) is a rare but serious and painful disorder. Although CRPS can occur following a minor injury, such as a sprain or even soft-tissue blunt trauma, severe intractable pain from CRPS can impair the quality of life. Symptoms and signs of CRPS include sensory changes (allodynia/hyperalgesia), vasomotor changes (temperature asymmetry/skin color change or asymmetry), sudomotor changes (edema/sweating change or asymmetry), and motor or trophic changes [1]. Although the exact pathophysiology of CRPS is not fully understood, several pathological mechanisms, including oxidative stress [2], neurogenic inflammation [3], and alteration in the autonomic nervous system [4, 5], are known to play some roles in its development. Also, psychophysical studies show that CRPS patients have distorted body image and have difficulty in recognizing the size or the position of the affected extremity [6]. The patients get worse when they think about moving the body part, even if they do not move it [7]. Mechanical stimulation of the “virtual (unaffected)” limb reflected in the mirror results in allodynia, which suggests that allodynia and paresthesia can be mediated by the brain [8]. Thus, the distorted body representation of CRPS patients can be treated with mirror therapy [9, 10]. Also, the spreading of symptoms and signs of CRPS from the initial site of presentation to another limb is a well-known phenomenon, which may be due to aberrant central regulation of neurogenic inflammation [11]. These findings highlight the contribution of a cortical pain mechanism in patients with CRPS. Moreover, functional imaging studies provide supporting evidence for the important role of the central nervous system in the pathogenesis of CRPS [1214], and recent research suggests that changes in cortical structures can contribute to the pathophysiology of CRPS [15].

Thus, the brain seems to play an important role in the development and maintenance of symptoms and signs in patients with CRPS. Some researchers insist that the peripheral changes in CRPS must be understood as a manifestation of changes in the brain [16]. Therefore, we postulated that protein expression would be altered in the CRPS-affected brain. However, there have been no studies on the changes of cerebral protein expression in CRPS. Therefore, to verify our hypothesis, we conducted a proteomic analysis using multidimensional protein identification technology (MudPIT) in a chronic postischemia perfusion (CPIP) rat model, a novel and widely used experimental model of CRPS type 1 [17].

2. Materials and Methods

2.1. Animals

This study was approved by the Institutional Animal Care and Use Committee of Seoul National University Bundang Hospital (IACUC number 52-2009-033). Male Sprague-Dawley rats weighing 200–250 g had free access to food and water and were housed individually in cages with soft bedding under a 12 h night/day light cycle at a constant temperature of 20–22°C and a humidity level of 55–60%. The animals were acclimatized for at least 1 week prior to the CPIP procedure.

2.2. CPIP Model Generation

The CPIP animal model was generated according to previous methods [17]. Briefly, after induction of anesthesia with isoflurane, a tight fitting O-ring (O-ring West, Seattle, WA, USA) with a 5.5 mm internal diameter was applied to the left hind limb of each anesthetized rat just proximal to the left ankle joint for 3 h. The O-ring was then removed from the anesthetized rat, allowing reperfusion of the hind limb (Figure 1). The animals in the control group underwent anesthesia similar to the CPIP animals, but the O-ring was not placed around the hind limb.

Figure 1.

Figure 1

Plantar skin color changes in chronic postischemia pain model rats. (a) Before O-ring application, (b) during O-ring application, (c) 1 hour after reperfusion, and (d) 4 h after reperfusion.

2.3. Behavioral Tests

All behavioral tests were performed during the daylight portion of the regulated circadian cycle between 9 a.m. and 3 p.m. To assess the mechanical threshold, the rats were placed in individual plastic cages with wire mesh bottoms. After 20 min acclimatization, calibrated von Frey filaments (Stoelting Co., Wood Dale, IL, USA) with logarithmically increasing stiffness of 0.41, 0.70, 1.20, 2.00, 3.63, 5.50, 8.50, and 15.10 g were applied to the midplantar surface of the hind paw. The mechanical threshold was assessed using an up-down statistical method [18]. Then, the change in the mechanical threshold (CMT, %) was calculated. The mechanical threshold was examined during the postreperfusion period: 1 h, 4 h, 24 h, 48 h, day 7, and day 21. The CMT was calculated by following equation:

CMT(%)=MpostMpreMpre×100. (1)

We used the findings from the neurobehavioral test on day 21 to classify the animals into groups: rats whose CMT was decreased 50% or more after the CPIP procedure were classified as the successful CPIP (A) group. The mechanical threshold of the animals in the control (C) group was also examined and compared using repeated-measures analysis of variance. All animals were sacrificed 3 weeks after the CPIP procedure for proteomic analysis.

2.4. Proteomic Analysis

The difference in cerebral protein expression between Groups A and C was explored using a MudPIT as follows.

2.4.1. Protein Extraction

A total of six animals (three from Groups A and C) were used for the mass spectrometry analysis. On the day 21, right half of each rat cerebrum was grinded using a mortar in liquid nitrogen. The tissue powder was kept at −80°C. The tissue powder was resolubilized in a small volume of 8 M urea, 100 mM Tris-HCl, pH 8.5, and 1 mM dithiothreitol (DTT) for two hours. The homogenates were sonicated and centrifuged at 100,000 ×g for 1 h. Next, 5 mM DTT was added to the homogenate for 30 min at 37°C and alkylated with 25 mM iodoacetamide for 30 min at 37°C in the dark. The samples were then diluted with 2 M urea and with 50 mM Tris-HCl, pH 8.0, and digested at 37°C overnight with sequence grade trypsin (Promega Co., Fitchburg, MA, USA) diluted 1 : 50 in 5 mM CaCl2.

2.4.2. MudPIT

Peptides were separated with an Agilent 1100 series high-performance liquid chromatography (HPLC) pump (Agilent technologies, Santa Clara, CA, USA) connected to a linear quadruple ion-trap mass spectrometer (MS, LTQ, Thermo-Finnigan, San Jose, CA, USA) using an in-house-built nanoelectrospray ionization interface. To identify peptides, the ion-trap mass spectrometer was operated in a data-dependent MS/MS mode (m/z 400–2000), in which a full MS scan was followed by 10 MS/MS scans and the temperature of the heated capillary was 200°C. MS/MS spectra were generated in the positive ion mode at an electrospray voltage of 2.5 kV and normalized collision energy of 35%. An analytical column-fused (100 μm internal diameter) silica capillary microcolumn (Polymicro technologies, Phoenix, AZ, USA) was pulled to a fine tip using a laser puller and packed with 7 cm of 5 μm C18 reverse-phase resin, which was connected to an internal diameter of 250 μm fused-silica trapping column packed with 2 cm of SCX followed by 2 cm of C18 resin. Each 30 μg peptide mixture was manually loaded onto separate columns using a pressure vessel. A seven-step chromatography run was carried out on each sample and three buffers were used (buffer A: 5% ACN/0.1% formic acid, buffer B: 80% ACN/0.1% formic acid, and buffer C: 5% ACN/0.1% formic acid/500 mM ammonium acetate).

2.4.3. Data Searching and Analysis

Acquired MS/MS spectra were searched against an international protein index “rat v. 3.78 FASTA-format decoy database” downloaded from European Bioinformatics Institute (EBI, http://www.ebi.ac.uk/). The SEQUEST algorithm [19] was used to find the best matching sequences from the database with BioWorks 3.3 (Thermo Fisher Scientific Inc., Rockford, IL, USA) for fully tryptic peptides. The mass of the amino acid cysteine was statically modified by +57 Da and the differential modification search was performed for oxidation (+16 Da on Met). Xcorr values were based on tryptic peptides and charge states following 1.8 for singly charged peptides, 2.5 for doubly charged peptides, 3.5 for triply charged peptides, and 0.08 for ΔCn (DTASelect v. 2.0.39). The analysis of protein fold-change was quantified by an overall spectral counting method comparison of label-free methods for quantifying human proteins [20].

3. Results

3.1. Behavioral Tests

A total of 14 animals (n = 7 per group) were included in the behavioral test. Before the CPIP procedure, there were no differences in the mechanical threshold between the groups. However, Group A exhibited a significant decrease in the mechanical threshold compared to Group C after the CPIP procedure (P < 0.01, Figure 2). The mean differences of CMT (%) in Group A compared to Group C were −41.5, −73.2, −92.3, −98.2, −92.2, and −95.3 after CPIP procedure 1 h, 4 h, day 1, day 2, day 7, and day 21, respectively.

Figure 2.

Figure 2

Change in mechanical threshold (%). Group A showed a significant decrease in mechanical threshold compared to group C (n = 7 in each group). Asterisk (*) indicates P < 0.05 at each time point. Group A: CPIP group and Group C: control group.

3.2. Differential Protein Expression in the Rat Cerebrum

A total of 454 proteins were differentially expressed between Groups A and C under the criterion of P value <0.1. Among the 454 proteins, we selected those found in the cerebrum of all study animals in either group and excluded “uncharacterized proteins” and “hypothetical proteins.” Finally, we found 155 differentially expressed proteins between Group A and Group C: 125 increased (Table 6) and 30 decreased (Table 7). Specifically, expression of proteins related to cell signaling (Table 1), synaptic plasticity (Table 2), regulation of cell proliferation (Table 3), and cytoskeletal formation (Table 4) was increased in Group A. Also, expression of a group of protein kinases (calmodulin dependent protein kinase II beta M isoform, casein kinase 2, phosphoenolpyruvate carboxykinase 2, mitogen-activated protein kinase 4, protein kinase C delta, N-terminal kinase like protein, uridine kinase-like 1, serine/threonine protein kinase PLK 1, and phosphoinositide 3 kinase regulatory subunit 4) and calcium-related proteins (inositol 1,4,5-triphosphate receptor type 2, annexin A1, annexin A2, annexin A5, voltage-dependent Ca2+ channel gamma-2 subunit, and voltage-dependent Ca2+ channel beta-3 subunit, and coiled-coil domain-containing protein 47) was also elevated in Group A. However, several proteins were decreased in group A. Specifically, expression of proteins related to cell signaling (Table 5) and metabolism of fatty acid (peroxisomal 3,2-trans-enoyl Co A isomerase, acetyl-CoA acyltransferase 1b, and acetyl-CoA acetyltransferase 2) were decreased. Also, proenkephalin A, protein cereblon, and neuroserpin were decreased in Group A.

Table 6.

Cerebral proteins with increased expression in the chronic postischemia pain (CPIP) group.

Number Symbol Description P value
1 Itpr2 Inositol 1,4,5-trisphosphate receptor type 2 0.001
2 Pik3r4 Phosphoinositide 3-kinase regulatory subunit 4 0.001
3 Exoc7 Exocyst complex component 7 0.001
4 Rcor2 REST corepressor 2 0.001
5 Anp32b Acidic leucine-rich nuclear phosphoprotein 32 family member B 0.002
6 Qrich2 Glutamine rich 2-like 0.002
7 Dnah11 Dynein, axonemal, heavy chain 11 0.002
8 Plk1 Serine/threonine-protein kinase PLK1 0.004
9 Ephx1 Epoxide hydrolase 1 0.004
10 Cacnb3 Voltage-dependent L-type calcium channel subunit beta-3 0.004
11 Anxa1 Annexin A1 0.004
12 Tns1 Tensin 1 0.004
13 Hdac4 Histone deacetylase 4 0.004
14 Osbpl7 Oxysterol binding protein like 7 0.004
15 Ecsit Evolutionarily conserved signaling intermediate in Toll pathway, mitochondrial 0.004
16 Sorbs3 Sorbin and SH3 domain containing 3, isoform CRA_b 0.004
17 Kctd12 Potassium channel tetramerisation domain containing 12 0.004
18 Ccbp2 Chemokine-binding protein 2 0.004
19 Drg2 Developmentally regulated GTP binding protein 2-like 0.004
20 Grid2 Glutamate receptor delta-2 subunit 0.004
21 Safb Scaffold attachment factor B1 0.008
22 Dnm3 Isoform 1 of Dynamin-3 0.008
23 Dnajc16 DnaJ homolog subfamily C member 16 0.008
24 Sntb2 Syntrophin, beta 2 0.008
25 Pnpt1 Polyribonucleotide nucleotidyltransferase 1 0.008
26 Eif3g Eukaryotic translation initiation factor 3 subunit G 0.008
27 Pole2 Polymerase (DNA directed), epsilon 2 0.008
28 Scyl1 N-terminal kinase-like protein 0.008
29 Atad1 ATPase family, AAA domain containing 0.008
30 Krt4 Keratin, type II cytoskeletal 4 0.008
31 Ctsa Protective protein for beta-galactosidase 0.008
32 Abca1 5 ATP-binding cassette, subfamily A (ABC1), member 15 0.008
33 Dmwd Dystrophia myotonica-containing WD repeat motif 0.008
34 Baiap3 BAI1-associated protein 3-like isoform 2 0.008
35 Znf512b Uridine kinase-like 1 0.008
36 Gale Gale protein 0.008
37 Pick1 PRKCA-binding protein 0.008
38 Acin1 Acin1 protein 0.008
39 Chid1 Chitinase domain containing 1 0.008
40 Pcyox1l Pcyox1l protein 0.008
41 Rabl2b RAB, member of RAS oncogene family-like 2B 0.008
42 Serpina3k Serine protease inhibitor A3K 0.008
43 Glg1 Golgi apparatus protein 1 0.008
44 Tnc Tenascin C 0.008
45 Lysmd1 LysM and putative peptidoglycan-binding domain-containing protein 1 0.008
46 Apba1 Amyloid beta A4 precursor protein-binding family A member 1 0.008
47 Ckap5 Cytoskeleton associated protein 5 0.038
48 Ndufab1 Acyl carrier protein 0.035
49 Epha4 Eph receptor A4 0.035
50 Kalrn Isoform 2 of Kalirin 0.035
51 Myh14 Myosin, heavy chain 14 0.035
52 Anxa2 Isoform Short of Annexin A2 0.043
53 Ccdc47 Coiled-coil domain-containing protein 47 0.043
54 Gpr158 G protein-coupled receptor 158 0.042
55 Cugbp1 CUGBP Elav-like family member 1 0.041
56 Hba2 Hemoglobin alpha 2 chain 0.040
57 Acsl3 Isoform long of long-chain-fatty-acid-CoA ligase 3 0.040
58 Rab6a Ras-related protein Rab-6A 0.038
59 Hbb Hemoglobin subunit beta-1 0.048
60 Hbb-b1 Zero beta-1 globin 0.044
61 Khsrp Far upstream element-binding protein 2 0.043
62 Scamp5 Secretory carrier-associated membrane protein 5 0.048
63 Aldh3a2 Fatty aldehyde dehydrogenase 0.049
64 Mesdc2 LDLR chaperone MESD 0.049
65 Rab3d GTP-binding protein Rab-3D 0.051
66 Vps29 Isoform 2 of vacuolar protein sorting-associated protein 29 0.051
67 Psma3l Psma3 Proteasome subunit alpha type-3 0.053
68 Hgs Isoform 1 of hepatocyte growth factor-regulated tyrosine kinase 0.054
69 Nlgn3 Isoform 1 of neuroligin-3 0.056
70 Cygb Cytoglobin 0.060
71 Pcsk2 Neuroendocrine convertase 2 0.060
72 Prkcd Isoform 1 of Protein kinase C delta 0.060
73 Fnbp4 Formin binding protein 4 0.062
74 Eif2s3x Eukaryotic translation initiation factor 2 subunit 3 0.063
75 Fermt2 Fermitin family homolog 2 0.063
76 Vps33a Vacuolar protein sorting-associated protein 33A 0.063
77 SNX3 Sorting nexin-3 0.063
78 Exoc8 Exocyst complex component 8 0.063
79 Thrap3 Thyroid hormone receptor-associated protein 3 0.063
80 Ndufa1 NADH dehydrogenase (ubiquinone) 1 alpha subcomplex, 1 0.063
81 Gabarapl2 Gamma-aminobutyric acid receptor-associated protein-like 2 0.065
82 Cotl1 Coactosin-like protein 0.065
83 Gad1 Glutamate decarboxylase 1 0.065
84 Ehd1 EH domain-containing protein 1 0.066
85 Map2k4 Mitogen-activated protein kinase 4 0.066
86 Mug1 Murinoglobulin (alpha-1-inhibitor 3) 0.070
87 Pck2 Phosphoenolpyruvate carboxykinase 2 0.072
88 Rps5 40S ribosomal protein S5 0.072
89 Ap2s1 Adaptor protein complex 2 subunit sigma 0.075
90 Tpp1 Tripeptidyl-peptidase 1 0.076
91 Cyld Ubiquitin carboxyl-terminal hydrolase 0.076
92 Nuc Nucleolin-like protein 0.079
93 Col1a2 Collagen alpha-2(I) chain 0.079
94 Slc6a17 Orphan sodium- and chloride-dependent neurotransmitter transporter NTT4 0.079
95 Actr10 Actin-related protein 10 homolog 0.080
96 Cacng2 Voltage-dependent calcium channel gamma-2 subunit 0.083
97 Ampd3 AMP deaminase 3 0.083
98 Eif5b-ps1 Eif5b Eukaryotic translation initiation factor 5B 0.083
99 Timm9 Mitochondrial import inner membrane translocase subunit Tim9 0.083
100 Etl4 Enhancer trap locus 4-like 0.083
101 Csnk2a2 Casein kinase 2, alpha prime polypeptide 0.084
102 Cct6a Chaperonin containing TCP1 subunit 6a 0.084
103 Nudc Nuclear migration protein nud 0.085
104 Ndufa13 NADH dehydrogenase (ubiquinone) 1 alpha subcomplex 13 0.085
105 Camk2b Calmodulin-dependent protein kinase II beta M isoform 0.086
106 Clta Isoform brain of clathrin light chain A 0.086
107 Asah1 Acid ceramidase 0.086
108 Phb2 Prohibitin-2 0.086
109 Sod1 Superoxide dismutase [Cu-Zn] 0.088
110 Ndufs8 NADH dehydrogenase (ubiquinone) 1 alpha subcomplex subunit 8 0.090
111 Slc17a7 Isoform 1 of vesicular glutamate transporter 1 0.091
112 Ugp2 UDP-glucose pyrophosphorylase 2, isoform CRA-b 0.091
113 Rala Ras-related protein Ral-A 0.091
114 Anxa5 Annexin A5 0.093
115 Hnrph1 Isoform 1 of heterogeneous nuclear ribonucleoprotein H 0.093
116 Stxbp5l Syntaxin binding protein 5-like 0.093
117 Abcd3 ATP-binding cassette subfamily D member 3 0.094
118 Farp1 FERM, RhoGEF (Arhgef), and pleckstrin domain protein 1 0.094
119 Leng4 Leng4 protein 0.094
120 Scn2a1 Sodium channel Nav1.2 0.095
121 Rab10 Ras-related protein Rab-10 0.097
122 Aldh7a1 Alpha-aminoadipic semialdehyde dehydrogenase 0.097
123 Cltb Isoform Brain of Clathrin light chain B 0.097
124 Phyhipl Isoform 1 of phytanoyl-CoA hydroxylase-interacting protein-like 0.098
125 Synpo Isoform 1 of synaptopodin 0.099

Table 7.

Cerebral proteins with decreased expression in the chronic postischemia pain (CPIP) group.

Number Symbol Description P value
1 Vwa1 Von Willebrand factor A domain-containing protein 1 0.002
2 Ppp1r10 Serine/threonine-protein phosphatase 1 regulatory subunit 10 0.003
3 Poldip2 DNA-directed polymerase delta interacting protein 2 0.003
4 Slc4a8 Isoform 2 of electroneutral sodium bicarbonate exchanger 1 0.003
5 Daam2 Dishevelled associated activator of morphogenesis 2 0.003
6 Cep350 Centrosome-associated protein 350 0.003
7 Tra2b Transformer-2 protein homolog beta 0.007
8 Epb4.1l1 Isoform L of band 4.1-like protein 1 0.007
9 Trim32 Tripartite motif protein 32 0.007
10 Slc1a1 Excitatory amino acid transporter 3 0.007
11 Spn Sialophorin 0.007
12 Crbn Cereblon 0.007
13 Thoc1 Da2-19 THO complex subunit 1 0.007
14 Lmo7 Lim domain only protein 7 0.007
15 Rps27a Ribosomal protein S27a 0.007
16 Sema4d Sema domain, immunoglobulin domain (Ig), transmembrane domain 0.043
17 Sec3l1 SEC3-like 1 0.047
18 Ikbkap Elongator complex protein 1 0.058
19 Peci Peroxisomal 3,2-trans-enoyl-CoA isomerase 0.058
20 Penk Proenkephalin-A 0.058
21 Bles03 basophilic leukemia expressed protein 0.058
22 Spna2 Alpha II spectrin 0.065
23 Pde10a Isoform 3 of cAMP and cAMP-inhibited cGMP 3′,5′-cyclic phosphodiesterase 10A 0.065
24 Snx2 Sorting nexin 2 0.067
25 Slc25a3 Phosphate carrier protein, mitochondrial 0.068
26 Serpini1 Neuroserpin 0.070
27 Acaa1b Acetyl-CoA acyltransferase 1b 0.077
28 H2afz Histone H2A.Z 0.079
29 Cox6a1 Cytochrome c oxidase subunit 6A1, mitochondrial 0.090
30 Acat2 Acetyl-CoA acetyltransferase 2 0.094

Table 1.

Increased cerebral proteins in the chronic post-ischemia pain group; proteins which might be related to cell signaling.

Number Symbol Description P value
1 Kctd12 Potassium channel tetramerisation domain containing 12 0.004
2 Ecsit Evolutionarily conserved signaling intermediate in Toll pathway, mitochondrial 0.004
3 Tns1 Tensin 1 0.004
4 Ccbp2 Chemokine-binding protein 2 0.004
5 Apba1 Amyloid beta A4 precursor protein-binding family A member 1 0.008
6 Tnc Tenascin C 0.008
7 Rabl2b RAB, member of RAS oncogene family-like 2B 0.008
8 Epha4 Eph receptor A4 0.035
9 Rab6a Ras-related protein Rab-6A 0.038
10 Gpr158 G protein-coupled receptor 158 0.042
11 Anxa2 Isoform Short of Annexin A2 0.043
12 Hgs Isoform 1 of hepatocyte growth factor-regulated tyrosine kinase substrate 0.054
13 Prkcd Isoform 1 of protein kinase C delta type 0.060
14 Gabarapl2 Gamma-aminobutyric acid receptor-associated protein-like 2 0.065
15 Map2k4 Dual specificity mitogen-activated protein kinase 4 0.066
16 Cacng2 Voltage-dependent calcium channel gamma-2 subunit 0.083
17 Phb2 Prohibitin-2 0.086
18 Camk2b Calmodulin-dependent protein kinase II beta M isoform 0.086
19 Anxa5 Annexin A5 0.093
20 Scn2a1 Sodium channel Nav1.2 0.095
21 Rab10 Ras-related protein Rab-10 0.097

Table 2.

Increased cerebral proteins in the chronic postischemia pain group; proteins which might be related to synaptic plasticity.

Number Symbol Description P value
1 Itpr2 Inositol 1,4,5-trisphosphate receptor type 2 0.001
2 Kctd12 Potassium channel tetramerisation domain containing 12 0.004
3 Grid2 Glutamate receptor delta-2 subunit 0.004
4 Baiap3 BAI1-associated protein 3-like isoform 2 0.008
5 Atad1 ATPase family, AAA domain containing 1 0.008
6 Pick1 PRKCA-binding protein 0.008
7 Nlgn3 Isoform 1 of Neuroligin-3 0.056
8 Nudc Nuclear migration protein nudC 0.085
9 Camk2b Calmodulin-dependent protein kinase II beta M isoform 0.086

Table 3.

Increased cerebral proteins in the chronic postischemia pain group; proteins which might be related to regulation of cell proliferation.

Number Symbol Description P value
1 Pik3r4 Phosphoinositide 3-kinase regulatory subunit 4 0.001
2 Itpr2 Inositol 1,4,5-trisphosphate receptor type 2 0.001
3 Anp32b Acidic leucine-rich nuclear phosphoprotein 32 family member B 0.002
4 Plk1 Serine/threonine-protein kinase 0.004
5 Drg2 Developmentally regulated GTP binding protein 2-like 0.004
6 Dmwd Dystrophia myotonica-containing WD repeat motif 0.008
7 Acin1 Apoptotic chromatin condensation inducer 1 protein 0.008
8 Pole2 Polymerase (DNA directed), epsilon 2 0.008
9 Cyld Ubiquitin carboxyl-terminal hydrolase 0.076
10 Csnk2a2 Casein kinase 2, alpha prime polypeptide 0.084
11 Rab10 Ras-related protein Rab-10 0.097

Table 4.

Increased cerebral proteins in the chronic postischemia pain group; proteins which might be related to cytoskeletal formation.

Number Symbol Description P value
1 Krt4 Keratin, type II cytoskeletal 4 0.008
2 Sntb2 Syntrophin, beta 2 0.008
3 Ckap5 Cytoskeleton associated protein 5 0.038
4 Fermt2 Fermitin family homolog 2 0.063
5 Cotl1 Coactosin-like protein 0.065
6 Rps5 40S ribosomal protein S5 0.072
7 Col1a2 Collagen alpha-2(I) chain 0.079
8 Actr10 Actin-related protein 10 homolog 0.080
9 Etl4 Enhancer trap locus 4-like 0.083
10 Farp1 FERM, RhoGEF (Arhgef), and pleckstrin domain protein 1 0.094

Table 5.

Decreased cerebral proteins in the chronic postischemia pain group; proteins which might be related to cell signaling.

Number Symbol Description P value
1 Vwa1 Von Willebrand factor A domain-containing protein 1 0.002
2 Ppp1r10 Serine/threonine-protein phosphatase 1 regulatory subunit 10 0.003
3 Slc4a8 Isoform 2 of electroneutral sodium bicarbonate exchanger 1 0.003
4 Daam2 Dishevelled associated activator of morphogenesis 2 0.003
5 Trim32 Tripartite motif protein 32 0.007
6 Slc1a1 Excitatory amino acid transporter 3 0.007
7 Spn Sialophorin 0.007
8 Crbn Cereblon 0.007
9 Thoc1 Da2-19 THO complex subunit 1 0.007
10 Lmo7 Lim domain only protein 7 0.007
11 Rps27a Ribosomal protein S27a 0.007
12 Sema4d Sema domain 0.043
13 Sec3l1 SEC3-like 1 0.047
14 Spna2 Alpha II spectrin 0.065
15 Pde10a Isoform 3 of cAMP- and cAMP-inhibited cGMP 3′,5′-cyclic phosphodiesterase 10A 0.065
16 Snx2 Sorting nexin 2 0.067
17 Slc25a3 Phosphate carrier protein, mitochondrial 0.068
18 Cox6a1 Cytochrome c oxidase subunit 6A1, mitochondrial 0.090

4. Discussion

In our study, various proteins were differentially expressed in the cerebrum of CPIP animals. Specifically, expressions of proteins related to cell signaling, synaptic plasticity, regulation of cell proliferation, and cytoskeletal formation were increased in Group A. These findings suggest that both functional and structural changes may occur in the cerebrum of CPIP animals, and altered protein expression can be related to the development of CRPS. This is the first study of cerebral protein expression changes in the CPIP rat model.

We also found that inositol 1,4,5-triphosphate (IP3) receptor type 2 and phosphoinositide 3 kinase (PI3K) regulatory subunit were also increased in Group A. IP3 receptor is intracellular calcium release channel and is regulated by calcium and calmodulin (CaM) [21]. And it is known that PI3K is an important mediator of central sensitization in painful inflammatory condition [22], and many tumorous conditions are related to this enzyme [23, 24]. Based on these findings, cerebral overexpression of IP3 receptor type 2 and PI3K can be related to the sustained pain after rat CPIP model.

Among the 155 proteins expressed differentially, calcium related proteins, including calcium calmodulin kinase II (CaMKII), were increased in group A. Calcium plays a crucial role in many physiological processes, including signal transduction, cell growth, and proliferation. CaMKII is one of the most prominent protein kinases, present in every tissue, but most concentrated in the brain. CaMKII plays various roles, including synthesis and release of neurotransmitter modulation of ion channel activity, synaptic plasticity, learning, and memory [2528]. Moreover, CaMKII is thought to be important in central sensitization [2931] and is implicated in central neuropathic pain [31] and long term potentiation (LTP) [32]. LTP is initiated when NMDA receptors allow Ca2+ into the postsynaptic neuron, and this Ca2+ influx activates CaMKII. LTP in nociceptive spinal pathways shares several features with hyperalgesia, and LTP at synapses constitutes a contemporary cellular model for pain [33, 34]. And it was reported that the overexpression of CaMKII was observed in the dorsal root ganglia of rat model of type 1 diabetes [35], and the inhibition of CaMKII can reverse the chronic inflammatory pain [36]. These findings are consistent with the result of our study. Therefore, overexpression of cerebral CaMKII implicates cerebral involvement in CRPS, and CaMKII can be a target for the prevention and treatment of CRPS.

In addition, we observed that proenkephalin A, cereblon, and neuroserpin decreased in CPIP animals. Proenkephalin is an endogenous opioid hormone which produces the enkephalin peptide. Enkephalin provides a role as inhibiting neurotransmitters in the pathway for pain perception to reduce pain perception. Therefore, decreased proenkephalin A in the cerebrum of CPIP animals seems to reflect the blunted ability to pain modulation and exaggerated response to the pain. For the cereblon, it is known to be related to memory, learning, and intelligence [37], and anomalous cereblon expression can lead to memory and learning deficit [38]. The defect in cereblon gene is associated with mental retardation [39]. Therefore, decreased expression of cereblon in CPIP animals in our study might be related to the deficit in the learning and memory. Neuroserpin, which was known to be related to neurogenesis [40] was decreased in CPIP animals in our study. Neuroserpin plays a role of neuronal protection in pathologic state, and point mutation can cause encephalopathy [41]. Also it has been known that deficiency in neuroserpin exacerbates ischemic brain injury [42]. Therefore, the decreased expression of neuroserpin in CPIP animals in our study might be related to the altered or defected cerebral function.

In our study, we used the CPIP model because CRPS develops after a minor injury without distinguishable nerve lesions. This model is considered a novel animal model of CRPS type 1, in which nerve injury or bone fracture usually does not exist. The previous proteomic studies in neuropathic pain research usually used the nerve ligation model or nerve crush injury model [43, 44]. Since the CPIP model exhibits similar features of human CRPS type 1, our results may have an implication for cerebral involvement in human CRPS. The mechanical threshold was similar at the beginning (day 1) and after 21 days. This is because we took no actions for treatment on the CPIP animals and therefore the initial pain seemed to persist without change. We did not measure the mechanical threshold in the contralateral paws, because it has been already known that the mechanical threshold decreases in the contralateral paws of the CPIP animals, and ipsilateral plantar allodynia is known to be the most characteristic feature of the CPIP animals [17]. The CMT in the ipsilateral paw was used for the criterion of the successful establishment of the animal model.

This study had some limitations. First, the differentially expressed cerebral proteins may not be specific to CPIP animals. These proteins may also change in response to peripheral noxious stimuli. However, CPIP animals exhibit many features of human CRPS type 1, and thus our findings can be extrapolated to human CRPS. Second, because of the complexity of protein interactions in many physiologic pathways in the brain, it is still unclear which is the key protein in the development of CRPS.

Third, we performed proteomic analysis only 21 days after CPIP model generation. However, protein expression related to the development and maintenance of CRPS can differ according to the time course. A proper time course to evaluate a possible correlation between pain behavior development and protein modulation may be useful to discriminate protein changes associated with the early inflammation from that one responsible for possible structural or functional alterations (neural sensitization) occurring at central level. Further investigation of the cerebral mechanism of CRPS is required.

5. Conclusion

In conclusion, the cerebral proteome is altered after CPIP injury; many functional and structural changes seem to occur in the cerebrum. These findings support the notion of cerebral involvement in CRPS. Therefore, treatment of CRPS should target not only the periphery, but also the brain.

Acknowledgment

This study was financially supported by Grant no. 02-2009-038 from the Seoul National University Bundang Hospital.

Conflict of Interests

The authors have no conflict of interests to declare.

References

  • 1.Harden RN, Bruehl S, Stanton-Hicks M, Wilson PR. Proposed new diagnostic criteria for complex regional pain syndrome. Pain Medicine. 2007;8(4):326–331. doi: 10.1111/j.1526-4637.2006.00169.x. [DOI] [PubMed] [Google Scholar]
  • 2.Eisenberg E, Shtahl S, Geller R, et al. Serum and salivary oxidative analysis in Complex Regional Pain Syndrome. Pain. 2008;138(1):226–232. doi: 10.1016/j.pain.2008.04.019. [DOI] [PubMed] [Google Scholar]
  • 3.Birklein F, Schmelz M. Neuropeptides, neurogenic inflammation and complex regional pain syndrome (CRPS) Neuroscience Letters. 2008;437(3):199–202. doi: 10.1016/j.neulet.2008.03.081. [DOI] [PubMed] [Google Scholar]
  • 4.Schulze J, Troeger C. Increased sympathetic activity assessed by spectral analysis of heart rate variability in patients with CRPS I. Handchirurgie, Mikrochirurgie, Plastische Chirurgie. 2010;42:44–48. doi: 10.1055/s-0030-1247590. [DOI] [PubMed] [Google Scholar]
  • 5.Schattschneider J, Binder A, Siebrecht D, Wasner G, Baron R. Complex regional pain syndromes: the influence of cutaneous and deep somatic sympathetic innervation on pain. Clinical Journal of Pain. 2006;22(3):240–244. doi: 10.1097/01.ajp.0000169672.49438.67. [DOI] [PubMed] [Google Scholar]
  • 6.Moseley GL. Distorted body image in complex regional pain syndrome. Neurology. 2005;65(5):p. 773. doi: 10.1212/01.wnl.0000174515.07205.11. [DOI] [PubMed] [Google Scholar]
  • 7.Moseley GL, Zalucki N, Birklein F, Marinus J, van Hilten JJ, Luomajoki H. Thinking about movement hurts: the effect of motor imagery on pain and swelling in people with chronic arm pain. Arthritis Care & Research. 2008;59(5):623–631. doi: 10.1002/art.23580. [DOI] [PubMed] [Google Scholar]
  • 8.Acerra NE, Moseley GL. Dysynchiria: watching the mirror image of the unaffected limb elicits pain on the affected side. Neurology. 2005;65(5):751–753. doi: 10.1212/01.wnl.0000178745.11996.8c. [DOI] [PubMed] [Google Scholar]
  • 9.Bultitude JH, Rafal RD. Derangement of body representation in complex regional pain syndrome: report of a case treated with mirror and prisms. Experimental Brain Research. 2010;204(3):409–418. doi: 10.1007/s00221-009-2107-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.McCabe CS, Haigh RC, Ring EFJ, Halligan PW, Wall PD, Blake DR. A controlled pilot study of the utility of mirror visual feedback in the treatment of complex regional pain syndrome (type 1) Rheumatology. 2003;42(1):97–101. doi: 10.1093/rheumatology/keg041. [DOI] [PubMed] [Google Scholar]
  • 11.Maleki J, LeBel AA, Bennett GJ, Schwartzman RJ. Patterns of spread in complex regional pain syndrome, type I (reflex sympathetic dystrophy) Pain. 2000;88(3):259–266. doi: 10.1016/S0304-3959(00)00332-8. [DOI] [PubMed] [Google Scholar]
  • 12.Schwenkreis P, Maier C, Tegenthoff M. Functional imaging of central nervous system involvement in complex regional pain syndrome. American Journal of Neuroradiology. 2009;30(7):1279–1284. doi: 10.3174/ajnr.A1630. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Freund W, Wunderlich AP, Stuber G, et al. Different activation of opercular and posterior cingulate cortex (pcc) in patients with complex regional pain syndrome (crps i) compared with healthy controls during perception of electrically induced pain: a functional MRI study. Clinical Journal of Pain. 2010;26(4):339–347. doi: 10.1097/AJP.0b013e3181cb4055. [DOI] [PubMed] [Google Scholar]
  • 14.Geha PY, Baliki MN, Harden RN, Bauer WR, Parrish TB, Apkarian AV. The brain in chronic CRPS pain: abnormal gray-white matter interactions in emotional and autonomic regions. Neuron. 2008;60(4):570–581. doi: 10.1016/j.neuron.2008.08.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Swart CM, Stins JF, Beek PJ. Cortical changes in complex regional pain syndrome (CRPS) European Journal of Pain. 2009;13(9):902–907. doi: 10.1016/j.ejpain.2008.11.010. [DOI] [PubMed] [Google Scholar]
  • 16.Jänig W, Baron R. Complex regional pain syndrome is a disease of the central nervous system. Clinical Autonomic Research. 2002;12(3):150–164. doi: 10.1007/s10286-002-0022-1. [DOI] [PubMed] [Google Scholar]
  • 17.Coderre TJ, Xanthos DN, Francis L, Bennett GJ. Chronic post-ischemia pain (CPIP): a novel animal model of complex regional pain syndrome-Type I (CRPS-I; reflex sympathetic dystrophy) produced by prolonged hindpaw ischemia and reperfusion in the rat. Pain. 2004;112(1-2):94–105. doi: 10.1016/j.pain.2004.08.001. [DOI] [PubMed] [Google Scholar]
  • 18.Chaplan SR, Bach FW, Pogrel JW, Chung JM, Yaksh TL. Quantitative assessment of tactile allodynia in the rat paw. Journal of Neuroscience Methods. 1994;53(1):55–63. doi: 10.1016/0165-0270(94)90144-9. [DOI] [PubMed] [Google Scholar]
  • 19.Eng JK, McCormack AL, Yates JR. An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database. Journal of the American Society for Mass Spectrometry. 1994;5(11):976–989. doi: 10.1016/1044-0305(94)80016-2. [DOI] [PubMed] [Google Scholar]
  • 20.Old WM, Meyer-Arendt K, Aveline-Wolf L, et al. Comparison of label-free methods for quantifying human proteins by shotgun proteomics. Molecular and Cellular Proteomics. 2005;4(10):1487–1502. doi: 10.1074/mcp.M500084-MCP200. [DOI] [PubMed] [Google Scholar]
  • 21.Nadif Kasri N, Bultynck G, Sienaert I, et al. The role of calmodulin for inositol 1,4,5-trisphosphate receptor function. Biochimica et Biophysica Acta. 2002;1600(1-2):19–31. doi: 10.1016/s1570-9639(02)00440-5. [DOI] [PubMed] [Google Scholar]
  • 22.Pezet S, Marchand F, D'Mello R, et al. Phosphatidylinositol 3-kinase is a key mediator of central sensitization in painful inflammatory conditions. Journal of Neuroscience. 2008;28(16):4261–4270. doi: 10.1523/JNEUROSCI.5392-07.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Fung-Leung W-P. Phosphoinositide 3-kinase delta (PI3Kδ) in leukocyte signaling and function. Cellular Signalling. 2011;23(4):603–608. doi: 10.1016/j.cellsig.2010.10.002. [DOI] [PubMed] [Google Scholar]
  • 24.Lorusso PM, Boerner SA. The role of phosphoinositide 3-kinase in breast cancer: an overview. Clinical Breast Cancer. 2010;10(supplement 3):S56–S58. doi: 10.3816/CBC.2010.s.012. [DOI] [PubMed] [Google Scholar]
  • 25.Yamauchi T. Neuronal Ca2+/calmodulin-dependent protein kinase II-discovery, progress in a quarter of a century, and perspective: implication for learning and memory. Biological and Pharmaceutical Bulletin. 2005;28(8):1342–1354. doi: 10.1248/bpb.28.1342. [DOI] [PubMed] [Google Scholar]
  • 26.Solà C, Barrón S, Tusell JM, Serratosa J. The Ca2+/calmodulin system in neuronal hyperexcitability. The International Journal of Biochemistry & Cell Biology. 2001;33(5):439–455. doi: 10.1016/s1357-2725(01)00030-9. [DOI] [PubMed] [Google Scholar]
  • 27.Halt AR, Dallapiazza RF, Zhou Y, et al. CaMKII binding to GluN2B is critical during memory consolidation. EMBO Journal. 2012;31(5):1203–1216. doi: 10.1038/emboj.2011.482. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Coultrap SJ, Bayer KU. CaMKII regulation in information processing and storage. Trends in Neurosciences. 2012;35(10):607–618. doi: 10.1016/j.tins.2012.05.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Fang L, Wu J, Lin Q, Willis WD. Calcium-calmodulin-dependent protein kinase II contributes to spinal cord central sensitization. The Journal of Neuroscience. 2002;22(10):4196–4204. doi: 10.1523/JNEUROSCI.22-10-04196.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Dai Y, Wang H, Ogawa A, et al. Ca2+/calmodulin-dependent protein kinase II in the spinal cord contributes to neuropathic pain in a rat model of mononeuropathy. European Journal of Neuroscience. 2005;21(9):2467–2474. doi: 10.1111/j.1460-9568.2005.04091.x. [DOI] [PubMed] [Google Scholar]
  • 31.Crown ED, Gwak YS, Ye Z, et al. Calcium/calmodulin dependent kinase II contributes to persistent central neuropathic pain following spinal cord injury. Pain. 2012;153(3):710–721. doi: 10.1016/j.pain.2011.12.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Lisman J, Yasuda R, Raghavachari S. Mechanisms of CaMKII action in long-term potentiation. Nature Reviews Neuroscience. 2012;13(3):169–182. doi: 10.1038/nrn3192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Ruscheweyh R, Wilder-Smith O, Drdla R, Liu X-G, Sandkühler J. Long-term potentiation in spinal nociceptive pathways as a novel target for pain therapy. Molecular Pain. 2011;7, article 20 doi: 10.1186/1744-8069-7-20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Sandkühler J, Gruber-Schoffnegger D. Hyperalgesia by synaptic long-term potentiation (LTP): an update. Current Opinion in Pharmacology. 2012;12(1):18–27. doi: 10.1016/j.coph.2011.10.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Ferhatovic L, Banozic A, Kostic S, et al. Expression of calcium/calmodulin-dependent protein kinase II and pain-related behavior in rat models of type 1 and type 2 diabetes. Anesthesia & Analgesia. 2013;116(3):712–721. doi: 10.1213/ANE.0b013e318279b540. [DOI] [PubMed] [Google Scholar]
  • 36.Luo F, Yang C, Chen Y, et al. Reversal of chronic inflammatory pain by acute inhibition of Ca2+/calmodulin-dependent protein kinase II. Journal of Pharmacology and Experimental Therapeutics. 2008;325(1):267–275. doi: 10.1124/jpet.107.132167. [DOI] [PubMed] [Google Scholar]
  • 37.Higgins JJ, Tal AL, Sun X, et al. Temporal and spatial mouse brain expression of cereblon, an ionic channel regulator involved in human intelligence. Journal of Neurogenetics. 2010;24(1):18–26. doi: 10.3109/01677060903567849. [DOI] [PubMed] [Google Scholar]
  • 38.Rajadhyaksha AM, Ra S, Kishinevsky S, et al. Behavioral characterization of cereblon forebrain-specific conditional null mice: a model for human non-syndromic intellectual disability. Behavioural Brain Research. 2012;226(2):428–434. doi: 10.1016/j.bbr.2011.09.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Higgins JJ, Pucilowska J, Lombardi RQ, Rooney JP. A mutation in a novel ATP-dependent Lon protease gene in a kindred with mild mental retardation. Neurology. 2004;63(10):1927–1931. doi: 10.1212/01.wnl.0000146196.01316.a2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Yaamada M, Takaehashi K, Ukai W, Hashimoto E, Saito T, Yamada M. Neuroserpin is expressed in early stage of neurogenesis in adult rat hippocampus. NeuroReport. 2010;21(2):138–142. doi: 10.1097/WNR.0b013e3283350b24. [DOI] [PubMed] [Google Scholar]
  • 41.Miranda E, Lomas DA. Neuroserpin: a serpin to think about. Cellular and Molecular Life Sciences. 2006;63(6):709–722. doi: 10.1007/s00018-005-5077-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Gelderblom M, Neumann M, Ludewig P, et al. Deficiency in serine protease inhibitor neuroserpin exacerbates ischemic brain injury by increased postischemic inflammation. PLoS ONE. 2013;8(5) doi: 10.1371/journal.pone.0063118.e63118 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Jiménez CR, Stam FJ, Li KW, et al. Proteomics of the injured rat sciatic nerve reveals protein expression dynamics during regeneration. Molecular and Cellular Proteomics. 2005;4(2):120–132. doi: 10.1074/mcp.M400076-MCP200. [DOI] [PubMed] [Google Scholar]
  • 44.Alzate O, Hussain S-RA, Goettl VM, et al. Proteomic identification of brainstem cytosolic proteins in a neuropathic pain model. Molecular Brain Research. 2004;128(2):193–200. doi: 10.1016/j.molbrainres.2004.06.037. [DOI] [PubMed] [Google Scholar]

Articles from BioMed Research International are provided here courtesy of Wiley

RESOURCES