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Mouse serum proteomics revealed that nerve injury results in long-lasting systemic inflammation, which affects the development of neuropathic pain.
Keywords: Nerve injury, Neuropathic pain, Systemic inflammation, Proteomics, Serum transfer
Abstract
Neuropathic pain is a complex, debilitating disease that results from injury to the somatosensory nervous system. The presence of systemic chronic inflammation has been observed in patients with chronic pain but whether it plays a causative role remains unclear. This study aims to determine the perturbation of systemic homeostasis by an injury to peripheral nerve and its involvement in neuropathic pain. We assessed the proteomic profile in the serum of mice at 1 day and 1 month after partial sciatic nerve injury (PSNL) or sham surgery. We also assessed mouse mechanical and cold sensitivity in naïve mice after receiving intravenous administration of serum from PSNL or sham mice. Mass spectrometry–based proteomic analysis revealed that PSNL resulted in a long-lasting alteration of serum proteome, where most of the differentially expressed proteins were in inflammation-related pathways, involving cytokines and chemokines, autoantibodies, and complement factors. Although transferring sham serum to naïve mice did not change their pain sensitivity, PSNL serum significantly lowered mechanical thresholds and induced cold hypersensitivity in naïve mice. With broad anti-inflammatory properties, bone marrow cell extracts not only partially restored serum proteomic homeostasis but also significantly ameliorated PSNL-induced mechanical allodynia, and serum from bone marrow cell extracts–treated PSNL mice no longer induced hypersensitivity in naïve mice. These findings clearly demonstrate that nerve injury has a long-lasting impact on systemic homeostasis, and nerve injury–associated systemic inflammation contributes to the development of neuropathic pain.
1. Introduction
Neuropathic pain is a highly debilitating condition, caused by a lesion or disease to the somatosensory system, affecting 7% to 10% of the general population.8,67 Although our understanding of the underlying mechanisms have made revolutionary progress, treatment options are far from satisfactory.4,18 A large amount of preclinical evidence strongly supports the concept that neurons are not the only players in the pathology. Many neighboring nonneuronal cells including microglia and astrocytes in the central nervous system (CNS), satellite cells in the dorsal root ganglia (DRG), and Schwann cells in the peripheral nervous system (PNS) are actively involved.35 The engagement of endothelial cells has also been documented.13,38,49 In addition, circulating immune cells are found accumulating at the injury sites. Although nonneuronal cells are not expected to transmit electrical potentials, they are important modulators for neuronal activities. On activation, various types of molecules are released from these nonneuronal cells, facilitating cell-to-cell crosstalk. The most stunning findings are that nonneuronal cells contribute to the pathogenesis of neuropathic pain by promoting the interaction between the nervous system and the immune system.11,36,56
Although several clinical studies also revealed evidence of neuroinflammation in patients with chronic pain,2,52 most reports actually indicated the existence of systemic inflammation in chronic pain conditions, eg, cytokines and chemokines are increased in the circulation of painful, not painless patients.2,16,32,40,41,65 Nevertheless, it remains unclear whether these inflammatory factors are simply correlated with chronic pain or may contribute directly to enhance pain sensitivity.
Significant advances in protein profiling technologies74 offer great promise for plasma or serum proteomics. A recent in-depth study revealed undulating changes in human plasma proteome across the lifespan.43 Another investigation of the blood samples from 16,894 participants demonstrated that plasma proteome patterns could be used as reliable and comprehensive indicators of health.75 We performed serum proteomic analysis in nerve-injured mice to answer whether and to what extent an injury to a peripheral nerve could disturb systemic homeostasis and whether such injury could lead to systemic inflammation. To further understand the functional significance of those changes in the blood to neuropathic pain, we also make use of bone marrow–derived cell extracts (BMCE), with potent anti-inflammatory properties,1,63 to counteract systemic inflammation.
By combining a well-established animal model of neuropathic pain, eg, partial sciatic nerve ligation (PSNL), high-throughput serum proteomics, and a functional intervention, we conclude that an injury to a peripheral nerve results in a long-lasting disturbance in systemic homeostasis. Serum proteins regulated by such insult are mostly involved in inflammation-related pathways, indicating the existence of systemic inflammation after nerve injury. Transferring serum from nerve-injured mice to naïve mice induces mechanical and cold allodynia. Re-establishing systemic balance in PSNL mice by BMCE significantly attenuates their mechanical hypersensitivity. Serum from BMCE-treated PSNL mice no longer triggers enhanced painful response in naïve mice. Our results unravel the potential of systemic contribution to neuropathic pain, which has been neglected in the past.
2. Materials and methods
2.1. Animals
Experiments were performed on adult 7- to 9-week-old male C57BL/6 mice, obtained from in-house breeding. Mice were housed 3 to 5 per cage in a temperature-controlled and humidity-controlled environment with a 12/12-hour light/dark cycle, beginning at 7:00 and access to food and water ad libitum. Behavioral experiments were conducted between 9:00 and 15:00. All protocols were approved by the McGill University Animal Care and Use Committee (permit# 5533) and conducted according to the guidelines of the Canadian Council on Animal Care and the International Association for the Study of Pain. All experiments in this study used male mice, analysis for female mice, especially for sex dimorphism of immune modulation, will be conducted in the future.
2.2. Nerve injury model
Partial sciatic nerve ligation was performed according to Seltzer et al.,59 adapted to mice. In brief, mice were anesthetized with isoflurane (2.5% for induction and maintenance), and under aseptic conditions, the left sciatic nerve was exposed at the thigh level. A 7-0 silk thread was used to tightly ligate approximately half of the sciatic nerve. In sham-operated animals, the nerve was exposed and manipulated, but no ligation was performed.
2.3. Behavioral analysis
Mice were habituated to the testing environment daily for at least 2 days before baseline testing. For measurements of mechanical sensitivity on the paw, withdrawal thresholds were assessed with calibrated von Frey filaments (Stoelting, Wood Dale, IL) using the up-down method.6,10 Mice were placed on a metal mesh floor with small Plexiglas cubicles (9 × 5 × 5-cm high) and kept for at least 1 hour for habituation before testing. A set of calibrated von Frey filaments (ranging from 0.16 g to 1.40 g of force) were applied to the plantar surface of the hind paw until they bent. The threshold force required to elicit withdrawal of the paw (50% withdrawal threshold) was determined as the average of 2 tests separated by at least 1 hour. Mechanical sensitivity at the orofacial area was also assessed by von Frey filaments as previously described.72 In brief, mice were placed in individual restraining cages (25 × 25 × 88 mm) and allowed to habituate for at least 1 hour before testing. A 0.04-g von Frey filament was applied perpendicularly to the orofacial area with sufficient force until it bent. One round of testing consisted of a single von Frey stimulation on one side, and a total of 20 stimulations on each side was performed per animal. A positive response was recorded if the mouse elicited a brief head withdrawal, unilateral or bilateral forepaw swipes down the snout, or an attempt to bite the von Frey filament. An increase in the total number of positive responses suggests the development of mechanical allodynia.
Cold sensitivity was evaluated with the acetone test.76 A drop of acetone, approximately 25 μL, was applied to the plantar surface of the hind paw. The duration of acetone-evoked behaviors (flinching, licking, or biting) after the application of 1 single drop of acetone within 1 minute observation was recorded. An increase in the duration of above-mentioned pain-like behavior indicates cold hypersensitivity. In serum transfer experiments, all tests were performed on both left and right sides, the results from both sides were averaged. In nerve-injured mice, only ipsilateral side measures were reported. All behavioral tests were performed blinded.
2.4. Serum collection and transfer
A 21-gauge needle was used to puncture the facial vein of a restrained mouse, and blood was collected in Microvette 200 serum collection tubes (Sarstedt, Germany). Blood was allowed to clot for 30 minutes at room temperature before centrifugation to isolate the serum. The serum was stored at −80°C until ready for use. The serum was collected from mice at 1 day and 1 month after surgery, for both sham and PSNL groups, and 2 additional groups of PSNL mice received saline or BMCE treatment for 3 weeks. Serum samples were pooled from 5 to 6 mice/group for injections. Serum (100 μL/injection) was administered to mice intravenously through the tail vein.
2.5. Proteomics analysis
The protocol for serum sample preparation was adopted from previous work.61 Serum samples (100 µL) were denatured with 6 M urea and 20 mM dithiothreitol at 60°C for 40 minutes and then alkylated at room temperature with 40 mM iodoacetamide (IAA) protected from light at room temperature for 30 minutes. To reduce the urea concentration, the samples were diluted 5-fold with 50-mM TRIS-HCl buffer (pH 8). Then, 5 µg of proteomic-grade trypsin was added, and the reaction was performed at 37°C for 24 hours. Protein digestion was quenched by adding 10 µL of a 1% trifluoroacetic acid (TFA) solution. Samples were desalted using HyperSep Tip C18 (10-200 µL) microscale solid phase extraction tips (Thermo Scientific, Rockwood, TN). Prior loading of the tryptic digest, the C18 tips were conditioned with 1 mL of methanol and then 1 mL of water containing 0.1% trifluoroacetic acid (TFA). Then, the sample was loaded on the C18 tips by aspirate and dispense 10 times. The C18 tips were washed 2 times with 100 µL of 0.1% TFA and finally eluted 3 times with 100 µL of acetonitrile, water, and TFA (50:50:0.1). Samples were evaporated to dryness and resuspended in 100 µL of water containing 0.1% formic acid and then transferred into injection vials for analysis.
The HPLC system was a Thermo Scientific Vanquish FLEX UHPLC system (San Jose, CA). Chromatography was performed using gradient elution along with a Thermo Biobasic C18 microbore column (150 × 1 mm) with a particle size of 5 μm. The initial mobile phase conditions consisted of acetonitrile and water (both fortified with 0.1% formic acid) at a ratio of 5:95. From 0 to 3 minutes, the ratio was maintained at 5:95. From 3 to 123 minutes, a linear gradient was applied up to a ratio of 40:60, which was maintained for 3 minutes. The mobile phase composition ratio was then reverted to the initial conditions, and the column was allowed to re-equilibrate for 30 minutes. The flow rate was fixed at 50 µL/min, and 5 µL of each sample was injected. A Thermo Scientific Q Exactive Plus Orbitrap Mass Spectrometer (San Jose, CA) was interfaced with the UHPLC system using a pneumatic-assisted heated electrospray ion source. Nitrogen was used as the sheath and auxiliary gases, which were set at 15 and 5 arbitrary units, respectively. The auxiliary gas was heated to 200°C. The heated ESI probe was set to 4000 V, and the ion transfer tube temperature was set to 300°C. Mass spectrometry (MS) detection was performed in positive ion mode operating in TOP-10 data-dependent acquisition (DDA) mode. A DDA cycle entailed one MS1 survey scan (m/z 400-1500) acquired at 70,000 resolution (FWHM) and precursor ions meeting the user-defined criteria for charge state (ie, z = 2, 3 or 4), monoisotopic precursor intensity (dynamic acquisition of MS2-based TOP-10 most intense ions with a minimum 1 × 104 intensity threshold) was selected for MS2. Precursor ions were isolated using the quadrupole (1.5 Da isolation width), activated by HCD (28 NCE), and fragment ions were detected in the Orbitrap at a resolution of 17,500 (FWHM). Data were processed using Thermo Proteome Discoverer (version 2.4) in conjunction with SEQUEST using default settings unless otherwise specified. The identification of peptides and proteins with SEQUEST was performed based on the reference proteome extracted from UniProt (Mus musculus taxon identifier 10090) as well as using a customized database including cytokines and chemokines protein sequences as FASTA sequences. Parameters were set as follows: MS1 tolerance of 10 ppm, MS2 mass tolerance of 0.02 Da for Orbitrap detection, enzyme specificity was set as trypsin with 2 missed cleavages allowed, carbamidomethylation of cysteine was set as a fixed modification, and oxidation of methionine was set as a variable modification. The minimum peptide length was set to 6 amino acids. Data sets were further analyzed with Percolator. Peptide-spectrum matches (PSMs) and protein identification were filtered at a 1% false discovery rate (FDR) threshold. For protein quantification and comparative analysis, we used the peak integration feature of Proteome Discoverer 2.4 software. For each identified protein, the average ion intensity of unique peptides was used for protein abundance.
2.6. Bioinformatics
Abundance ratio (log2): (experimental group)/(control group), abundance ratio P-value: (experimental group)/(control group), and accession columns were extracted from the data sets generated by Proteome Discoverer. Volcano plots were generated using all identified and quantified proteins with both log2 ratio and P-value. Proteins with a grouped abundance value of 0, without a P-value, or with a P-value > 0.05 were not included for further functional analysis. Gene Ontology analysis of genes (ie, GO terms) was performed using Metascape,79 where significant proteins with a −log10 P-value ≥ 1.301 (P < 0.05) were used. The results from the upregulated and downregulated protein analyses were used to create bar plots in GraphPad Prism using the Metascape reports with the number of differentially expressed proteins (DEPs) of GO process matches given by Metascape. Further pathway analysis was visualized with Cytoscape60 using the GO, Kyoto Encyclopedia of Genes and Genomes (KEGG), REACTOME, and WikiPathways pathway databases. Significant pathways for proteins were identified, comparing the ratio of target proteins identified in each pathway with the total number of proteins within the pathway. The statistical test used to determine the enrichment score for KEGG or REACTOME pathways was based on a right-sided hypergeometric distribution with multiple testing correction.5 The clustered heat map was generated using R (https://cran.r-project.org/) with the package “pheatmap” (https://cran.r-project.org/web/packages/pheatmap/).
2.7. Bone marrow cell extracts preparation and administration
Bone marrow (BM) cells were harvested from both male and female 2- to 6-month-old C57BL/6 mice. Bone marrow cells were flushed from the humeri, tibias, and femurs with PBS and strained through a 40-µm filter. Erythrocytes were lysed with ammonium–chloride–potassium (ACK) buffer, and the cells were washed again with 1x PBS. The cells were lysed with 3 cycles of freeze-thawing at −80 and 37°C and centrifuged at 16,000g for 30 minutes at 4°C to remove insoluble materials. Protein concentration was assessed with a bicinchoninic acid (BCA) protein assay (Thermo Scientific) and subsequently diluted to the appropriate concentration with saline. BMCE (100 µL)-contained 2 mg/mL protein was administered intravenously to PSNL mice (n = 5), twice a week, for 3 weeks. Another group of 5 PSNL mice received saline injections (used as the vehicle control).
2.8. Statistical analysis
Data are presented as mean ± SEM and analyzed using the GraphPad Prism software. The 2-tailed paired t test was used to analyze sham serum transfer behavior data, while the repeated-measures one-way analysis of variance (ANOVA) followed by the Dunnett post hoc test was used for PSNL serum transfer behavior data. Behavioral data for BMCE treatment was analyzed with a two-way ANOVA followed by the Sidak post hoc test. An ordinary one-way ANOVA with the Tukey post hoc test was used to analyze behavioral data from sham, PSNL, and BMCE-treated serum transfer. Differences were considered significant at P < 0.05.
3. Results
3.1. Peripheral nerve injury alters mouse serum proteome shortly after the insult
Although several previous clinical studies described the presence of systemic inflammation in patients with chronic pain, they were limited to specific cytokine and chemokine targets, using ELISAs and multiplex immunoassays. To have a broader coverage and greater sensitivity to delineate changes taking place at the systemic level after nerve injury, we assessed serum proteome with label-free proteomics. Samples subject for analysis were obtained by pooling serum from 6 mice at 1 day after PSNL or sham surgery. Three panels including total serum proteins, immunoglobulin (Ig) clusters, and cytokines and chemokines were examined. The volcano plot in Figure 1A depicted differential abundances (PSNL vs sham), with the log2 ratio on the x-axis representing the fold change and the −log10 (P-value) on the y-axis depicting significance. A horizontal line represents the position for a P-value of 0.05, and the 2 vertical lines represent the positions of the 1.0 and −1.0 log2 ratios that correspond to two-fold increases or decreases colored blue or red, respectively. The colored points, which pass these filters, are considered differentially expressed proteins (DEPs). At 1 day postinjury, 97 serum proteins were significantly altered, with 66 upregulated and 31 downregulated. Gene Ontology (GO) and pathway enrichment analyses using Metascape were performed only on these significant DEPs. Summary connectivity maps were generated for enriched terms (Figs. 1B and C), where terms with a similarity >0.3 were connected by edges. In the first network plot (Fig. 1B), each node represents an enriched term and is colored by cluster ID, where nodes sharing the same cluster ID would be closer to each other. The second network plot (Fig. 1C) shows the same nodes, but each one is colored by P-value, where the better represented pathways containing higher proportions of proteins involved in the pathway would have a more significant P-value. GO annotation indicated that the DEPs were mainly enriched in complement and coagulation cascades, complement cascade, negative regulation of proteolysis, inflammation, and hemostasis-related pathways. The number of DEPs in each pathway was plotted in order from least to most significant P-values in Figure 1D. Detailed description of > 2-fold upregulated (orange) and downregulated (green) and <2-fold (blue) significantly enriched terms were summarized in supplementary table 1 (available at http://links.lww.com/PAIN/B656). The heatmap in Figure 2 illustrated changes in Ig clusters, in both variable (Fig. 2A) and constant (Fig. 2B) regions. Compared with serum in the sham group, mainly Ig κ light chains, a few λ light chains and Ig heavy chains were found to be upregulated in day-1 PSNL serum. It is interesting to notice that Ig J chain in the constant region, required for Ig M or Ig A secretion, is increased by nerve injury. The volcano plot in Figure 2C depicted differential abundances of chemokines and cytokines in day-1 serum. At the acute phase post-PSNL, 13 cytokines and chemokines were significantly increased, where most of them have proinflammatory properties. Surprisingly, classic IL-1β, TNF-α, and IL-6 were not among those significantly upregulated cytokines. This result demonstrated that a partial ligation on one of the sciatic nerve resulted quickly in a robust disturbance in serum homeostasis, with a strong upregulation of proinflammatory cytokines and chemokines, an increase of Ig clusters, and regulation of around 100 serum proteins, mainly involved in inflammation-related pathways.
Figure 1.

Mouse serum proteomics at 1 day post-PSNL. (A) Volcano pot showing the differential abundances of total proteins in PSNL serum compared with sham serum. The x-axis represents the log2 ratio, regarding sham, and the y-axis represents the -log10 of the P-value. A horizontal line depicts the position of P-value at 0.05, and 2 vertical lines depict the position of 1.0 and −1.0 log2 ratios (corresponding to 2-fold increase and decrease, colored in red and blue, respectively). (B and C) Network analysis of enriched pathways from Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), REACTOME, and WikiPathways, shown as a connectivity map of a subset of terms selected with the best P-values from each cluster. Analysis was performed with all significantly changing DEPs (upregulated and downregulated) in PSNL serum compared with sham serum. Terms with a similarity >0.3 were connected by edges. The size of each node represents the number of DEPs represented within that enriched term. (B) Network plot where each node represents an enriched term and is colored by cluster ID, where nodes sharing the same cluster ID would be closer to each other. (C) The same network plot where each node is colored by P-value, where terms containing more genes would have a more significant P-value. (D) Log10 P-values and numbers of DEPs for each pathway cluster represented in the connectivity map. The vertical dashed line represents the position of P-value of 0.05. n = 6 animals/group. DEP, differentially expressed proteins; PSNL, partial sciatic nerve ligation.
Figure 2.

Mouse serum immunoglobulin, cytokine, and chemokine levels at 1 day post-PSNL. (A and B) Heatmap of log2 abundance ratios for immunoglobulin in PSNL and sham serum, separated by (A) variable region peptides and (B) constant region peptides. (C) Volcano plot showing the differential abundances of cytokines and chemokines in PSNL serum compared with sham serum. A list of all significant differentially expressed cytokines and chemokines is provided below the plot. n = 6 animals/group. PSNL, partial sciatic nerve ligation.
3.2. Nerve injury–induced disturbance in mouse serum proteome persists for at least 1 month
To further understand the long-term impact of nerve injury on systemic homeostasis, we performed another proteomic analysis on serum collected at 1 month post-PSNL. The volcano plot (Fig. 3A) for total proteins showed 28 upregulated and 44 downregulated proteins, suggesting that although less abundant, 72 proteins still remained significantly altered at the late phase. Importantly, the most significant pathways involving enriched DEPs remained associated with inflammation, such as in complement activation and acute inflammatory response pathways, where DEPs in complement activation pathway were highly significant (Figs. 3B and D). Supplementary table 2 (available at http://links.lww.com/PAIN/B656) shows a detailed description of > 2-fold upregulated (orange) and downregulated (green) and <2-fold (blue) significantly enriched terms. Again although less intense than those at acute phase, some slight upregulation and downregulation were still detected in both variable (Fig. 4A) and constant (Fig. 4B) regions of Ig clusters, consisting primarily of Ig κ light chains and Ig heavy chain variable regions. The volcano plot in Figure 4C depicted 8 cytokines, and chemokines were decreased and included proinflammatory molecules and Th2 cells–derived anti-inflammatory cytokine IL-4 and IL-9. The analysis of late phase serum from PSNL mice clearly indicated that after a nerve injury, serum proteome profile at chronic stage is very different from that in the acute phase. One month after the nerve injury, systemic inflammation seems less intense than that in the acute phase, but it persists and is mediated by different pathways.
Figure 3.

Mouse serum proteomics at 1 month post-PSNL. (A) Volcano pot showing the differential abundances of cytokines and chemokines in PSNL serum compared with sham serum. (B and C) Network analysis of enriched pathways from Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), REACTOME, and WikiPathways, shown as a connectivity map of a subset of terms selected with the best P-values from each cluster. Analysis was performed with all significantly changing DEPs (upregulated and downregulated) in PSNL serum compared with sham serum. The size of each node represents the number of DEPs represented within that enriched term. (B) Network plot where each node represents an enriched term and is colored by cluster ID, where nodes sharing the same cluster ID would be closer to each other. (C) The same network plot where each node is colored by P-value, where terms containing more genes would have a more significant P-value. (D) Log10 P-values and numbers of DEPs for each pathway cluster represented in the connectivity map. The vertical dashed line represents the position of P-value of 0.05. n = 6 animals/group. PSNL, partial sciatic nerve ligation.
Figure 4.

Mouse serum immunoglobulin, cytokine, and chemokine levels at 1 month post-PSNL. (A and B) Heatmap of log2 abundance ratios for immunoglobulin in PSNL and sham serum, separated by (A) variable region peptides and (B) constant region peptides. (C) Volcano plot showing the differential abundances of cytokines and chemokines in PSNL serum compared with sham serum. A list of all significant differentially expressed cytokines and chemokines is provided below the plot. n = 6 animals/group. PSNL, partial sciatic nerve ligation.
3.3. Serum from partial sciatic nerve ligation mice triggers painful response in naïve mice
Intrigued by the functional meaning of such changes in the serum of mice with nerve injury, we transferred serum from PSNL mice to naïve mice and monitored their pain behavior. By using von Frey and acetone tests, respectively, our data showed that serum from sham-operated mice, either from 1 day or 1 month postsurgery, did not significantly affect mechanical thresholds and cold sensitivity in naïve mice (Fig. 5A). However, transferring PSNL serum (day 1 postinjury) to naïve mice induced mechanical and cold allodynia, which lasted 3 to 4 days (Fig. 5B). Interestingly, it seems that serum from 1 month post-PSNL mice induced mechanical and cold allodynia that lasted slightly longer than that of acute serum, up 5 to 6 days (Fig. 5C). Furthermore, PSNL serum–induced mechanical hypersensitivity was not restricted only to the paw but has also been detected in another area of the body, for example, in the orofacial area, this mechanical allodynia lasted for 4 days (Fig. 5D).
Figure 5.

Serum from PSNL mice triggers painful response in naïve mice. (A) No significant changes in pain behavior were observed after i.v. administration of sham serum, tested at 1 day postinjection. Serum transferred from both (B) day 1 and (C) day 31 post-PSNL mice decreased mechanical threshold and increased cold sensitivity in naïve mice. Day-31 serum-triggered painful behavior lasts longer than that of day 1. (D) Serum from day-31 post-PSNL mice transferred to naïve mice increased mechanical hypersensitivity in the facial area. Data are mean ± SEM. n = 5 animals/group. *P < 0.05, **P < 0.01, ***P < 0.001, paired two-tailed Student t test (A) and one-way RM ANOVA with Dunnett post hoc test (B–D). PSNL, partial sciatic nerve ligation.
3.4. Bone marrow cell extracts treatment significantly affects mouse pain behavior
Given that there is a broad systemic change in the serum proteome after nerve injury and that this serum has pronociceptive properties, we wanted to assess whether a multifaceted systemic approach such as BMCE treatment could alleviate pain by dampening the nerve injury–induced serum proteomic disturbances. Twice a week intravenous administration of BMCE for 3 weeks significantly reduced mechanical (Fig. 6A), but not cold allodynia in PSNL mice (Fig. 6B). Furthermore, serum taken from PSNL mice treated with BMCE did not induce mechanical allodynia (Fig. 6C), but slight cold allodynia (Fig. 6D) when transferred to naïve mice, whereas serum from PSNL mice treated with saline did induce both mechanical and cold allodynia in naïve mice (Figs. 6C and D).
Figure 6.

BMCE treatment reduces mechanical allodynia, but not cold hypersensitivity. Behavioral analysis of BMCE treatment in PSNL mice with the (A) von Frey and (B) acetone tests. BMCE treatment 2 times per week starting on the day of nerve injury significantly reduced mechanical allodynia, but did not impact cold sensitivity. Serum transferred from BMCE-PSNL mice (C) alleviated mechanical and (D) cold hypersensitivity induced by PSNL serum in naïve mice. Data are mean ± SEM. n = 5 to 10 animals/group. *P < 0.05, **P < 0.01, ***P < 0.001, two-way RM ANOVA with the Sidak post hoc test (A–B) and one-way ordinary ANOVA with the Sidak post hoc test (C and D). BMCE, bone marrow cell extracts; PSNL, partial sciatic nerve ligation.
3.5. Bone marrow cell extracts treatment partially restores the homeostasis of proteomic profile in partial sciatic nerve ligation mice
To elucidate the systemic effects of BMCE treatment on nerve injury and to understand underlying mechanisms of its effects in alleviating pain in PSNL mice, serum proteome of BMCE-treated PSNL mice was analyzed. To compare with acute (Fig. 1A) and chronic phase (Fig. 3A), there were less proteins remain altered, totalling 57 proteins, where 37 proteins were upregulated and 17 were downregulated (Fig. 7A). GO annotation indicated that the most significant pathways involving enriched DEPs with BMCE treatment were in acute-phase response, complement and coagulation cascades, negative regulation of peptidase activity, and gland development pathways (Fig. 7B). In general, to compare with acute or chronic-phase PSNL serum, not only less number of DEPs were involved in the different pathways, depicted as a less significant P-value (Fig. 7C), and but most of the pathways, except the complement pathway with few DEPs, are not related to inflammation (Fig. 7B, D). Detailed description of > 2-fold upregulated (orange) and downregulated (green) and <2-fold (blue) significantly enriched terms were summarized in supplementary table 3 (available at http://links.lww.com/PAIN/B656). Some Ig clusters, involving Ig heavy and Ig κ variables, were found increased in BMCE and PSNL serum, mainly in the variable regions (Figs. 8A and B). Only 3 cytokines were found significantly upregulated with BMCE treatment, which is dominated by the increase of IL-27 (Fig. 8C), and it has been reported to counteract neuropathic pain development through induction of IL-10.19 The cytokine and chemokine heatmap (Fig. 8D) revealed that BMCE treatment tends to re-establish inflammatory balance, where strong upregulation or downregulation was no longer detected in BMCE and PSNL serum. Altogether, it suggests that 3-week BMCE treatment inhibited systemic inflammation and partially restored serum homeostasis disturbed by nerve injury.
Figure 7.

BMCE treatment partially restores the serum proteomic profile in PSNL mice. (A) Volcano plots showing the differential abundances of total proteins in BMCE-treated PSNL serum compared with saline-treated PSNL serum. (B–C) Network analysis of enriched pathways from Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), REACTOME, and WikiPathways, shown as a connectivity map of a subset of terms selected with the best P-values from each cluster. Analysis was performed with all significantly changing DEPs (upregulated and downregulated) in BMCE-treated PSNL serum compared with saline-treated PSNL serum. The size of each node represents the number of DEPs represented within that enriched term. (B) Network plot where each node represents an enriched term and is colored by cluster ID, where nodes sharing the same cluster ID would be closer to each other. (C) The same network plot where each node is colored by P-value, where terms containing more genes would have a more significant P-value. (D) Log10 P-values and numbers of DEPs for each pathway cluster represented in the connectivity map. The vertical dashed line represents the position of P-value of 0.05. n = 5 animals/group. BMCE, bone marrow cell extracts; PSNL, partial sciatic nerve ligation.
Figure 8.

BMCE treatment partially restores serum immunoglobulin, cytokine, and chemokine levels in PSNL mice. (A and B) Heatmap of log2 abundance ratios for immunoglobulin in BMCE-treated PSNL serum and saline-treated PSNL serum, separated by (A) variable region peptides and (B) constant region peptides. (C) Volcano plot showing the differential abundances of cytokines and chemokines in BMCE-treated PSNL serum compared with saline-treated PSNL serum. A list of all significant differentially expressed cytokines and chemokines is provided below the plot. (D) Clustered heatmap drawn using R package “pheatmap” of log2 abundance ratios for chemokines and cytokines in (A) PSNL and sham serum at 1 day post-PSNL, (B) PSNL and sham serum at 1 month post-PSNL, and (C) BMCE-treated PSNL serum and saline-treated PSNL serum at 3 weeks post-PSNL. n = 5 to 6 animals/group. BMCE, bone marrow cell extracts; PSNL, partial sciatic nerve ligation.
4. Discussion
By using a high-throughput, unbiased, and semiquantitative approach of serum proteome profiling, we demonstrated that nerve injury resulted in a long-lasting systemic disturbance with a systemic inflammation predominance. We also addressed the potential of systemic factors contributing to neuropathic pain. Transferring serum from nerve-injured mice into naïve mice also transferred mechanical and cold hypersensitivities. Although BMCE partially re-established systemic homeostasis in nerve-injured mice, it alleviated neuropathic mechanical hypersensitivity and serum from BMCE-treated nerve-injured mice corrected the painful effect of nerve-injured serum. Altogether, our data strongly suggest the involvement of systemic modulations in the pathophysiology of chronic neuropathic pain.
The potential of systemic contribution in chronic pain has drawn attention in recent years.78 Some inflammatory mediators, mainly cytokines and chemokines, have repeatedly been detected in the blood of patients suffering from chronic pain with different pathologies, including injury-associated peripheral neuropathy,31,40,65 complex regional pain syndrome (CRPS),64 diabetic neuropathy,12 and also in patients with chronic widespread pain (CWP).23,66,69 Although most of the above-mentioned studies analyzing mRNA expression or protein levels of few selected targets in blood samples, some studies2,32,37 expanded the screening of inflammatory molecules with multiplex analysis up to 92 targets where they not only detected significant differences in multiple inflammatory biomarkers but also observed that among patients whose pain and other relevant clinical symptoms improve, most of inflammation-related proteins tend to be normalized.32 Most recently, a series of studies using high-throughput serum and plasma proteomics further revealed a dysregulation of circulating proteome in CWP, especially patients with fibromyalgia (FM), where the most regulated proteins are part of the immune system or known to interact with the immune system.24,25,30,68–71 The data further support a significant correlation between serum and plasma proteome profile and clinical parameters in FM and diabetic neuropathic patients, such as mechanical and thermal pain thresholds, pain intensity, and psychological distress.3,24,25,68,69 Thus, accumulating evidence suggests that patients with chronic pain may live with systemic chronic inflammation, which could have a role in the genesis of long-lasting painful behaviors.
In the current animal study, by using unbiased proteomic analysis, we demonstrated that a partial ligation on one of the sciatic nerves led to a long-lasting disturbance in serum proteome. A robust systemic inflammatory reaction occurred one day after the nerve injury. Among others, a significant increase of at least 13 proinflammatory cytokines and chemokines, an increase of multiple variables in immunoglobin clusters, and a sturdy disturbance in complement pathways were detected. One month after the nerve ligation, while a downregulated cytokine and chemokine profile predominated and the alteration in Ig clusters appeared less important, the changes in inflammation-related pathways remained highly significant, especially the DEPs involved in the complement activation pathways. Thus, we confirmed that nerve injury is associated with a systemic chronic inflammation, with a distinct inflammatory signature at the acute and chronic phase. Our serum transfer experiments validated the functional significance of these systemic factors in the serum because they indeed induced mechanical and cold hypersensitivity in naïve mice. Different temporal profile of pain induced by 1-day or 1-month PSNL serum in naïve mice can actually be explained by the different compositions in these sera. We may assume that in addition to many other altered inflammation-related proteins, cytokines and chemokines are important players in 1-day–serum induced hypersensitivity, while proteins in complement pathways are essential in 1-month–serum induced enhanced pain behavior.
Although nerve injury is one of the major reasons often causing debilitating neuropathic pain, our understanding of underlying mechanisms still remains poor. It can involve different types of cells within the nervous system; it can also interact with other systems, especially the immune system, leading to peripheral or central sensitization.34,35 Inflammatory systemic factors that we detected in the serum of nerve-injured mice could be derived from active release from the circulating immune cells or leakage from distressed or damaged cells of the surrounding organs and tissues. Because a complex pathological process, neuropathic pain rarely results from any 1 single serum protein acting alone rather through highly interacting networks of multiplayers driven by the dynamics of the local environment. To this end, to further confirm the contribution of systemic inflammation to neuropathic pain, we used a broad targeting strategy to treat nerve-injured mice with BMCE which has established anti-inflammatory and regenerative properties through its paracrine effects.62,63 It has been noticed that while our proteomic analysis clearly indicated that BMCE was able to, at least partially, re-establish inflammatory balance and restore systemic serum homeostasis in PSNL mice, it alleviated nerve injury–triggered mechanical allodynia. However, it was not effective in reducing cold hypersensitivity. This is in coincidence with our serum transfer experiment where BMCE treatment completely erased the effect of PSNL serum in inducing mechanical allodynia in naïve mice, but it still had some effects in triggering cold allodynia. This distinctive response of BMCE in different pain modalities is indeed inline with a recent finding where the authors claimed that immune system activation contributes to tactile allodynia but minimally to cold allodynia.7 It is worth highlighting that in addition to restoring systemic homeostasis, BMCE is also expected to act directly on DRG and injured nerves to promote nerve regeneration and restore tissue homeostasis because it contains high levels of multiple trophic factors and proteins.17 We assume that BMCE alleviates neuropathic pain through a well-orchestrated cascade, although the detail mechanisms will be subject for further investigation. Indeed, through its multiple function in restoring systemic and tissue homeostasis, especially circumventing the downside of direct cell transplant, BMCE could be a promising therapeutic strategy for many chronic degenerative diseases including neuropathic pain.
While substantial data in the literature21,42,45,46,57 evidenced nerve injury–triggered inflammation in DRG and nerves, and their contribution to chronic pain, we confirmed that in addition to the well-known fact that inflammation in the nervous tissue contributes to neuropathic pain, nerve injury–associated systemic inflammation could also alter pain behavior. Although nerve injury–associated neuroinflammation and systemic inflammation could have distinct signatures. It, however, remains to be addressed how systemic factors in the bloodstream contribute to increasing neuronal sensitization. Needless to argue that as inflammatory mediators, cytokines and chemokines can not only directly excite neurons but also influence the function of nonneuronal cells in the nervous system, including the integrity of the neural barriers and PNS and CNS glial cell activation.22,53,54,58 The contribution of cytokines and chemokines in chronic pain has been well-established with a large amount of preclinical and clinical evidence.16,22,32,33,58,77 In recent years, there is a growing appreciation that autoimmunity could be one of the mechanisms for chronic pain.39 In randomized controlled trials for rheumatoid arthritis, infusions of rituximab to deplete B cells significantly improved patients' pain experience.14 Depletion of B cells also reduced the severity of mechanical allodynia and vascular damage in an animal model of CRPS.47 Transferring IgG from patients with FM produced FM-like symptoms in mice, including mechanical and cold hypersensitivities, reduced physical activities, and paw grip strength.28 Increases in several Ig variable regions have been detected in our study in the serum of both day-1 and day-30 PSNL mice. Although unlikely this is an antigen-specific adaptive activation of B cells at day 1 postinjury, it may reflect an activation of innate-like B cells (ILBs) triggered by DAMPs through the TLR pathway. As unconventional B cells, ILBs have innate sensing and responsing properties and they can produce natural IgM to protect the host, for example, to promote the engulfment of tissue debris and apoptotic cells, before an adaptive immune response is elicited.15,55 Such hypothesis may be supported by the fact that we also detected an increase of Ig J chain in the constant region, which is required for the IgM pentameric structure.9 However, the possibility of nerve tissue antigen-specific autoimmune response would not be excluded because we also found an increase of Ig variables at 1 month postinjury, which may be relevant to an activation of conventional B cells and plasma cells, leading to the production of autoantibodies. Although with the current proteomic analysis, it is difficult to conclude whether antibodies are directly involved in neuropathic pain, anyhow it suggests the presence of B-cell–mediated humoral immune response in nerve-injured mice. The complement system has been implicated in different chronic pain conditions.73 Various complement proteins were found elevated at the site of nerve injury, or in the spinal cord,46,51 and using either genetic or pharmacological approaches to block the activation reduced pathological pain.29,48 Complement factors, C3 and C5,20,27,29,44 were also found elevated in the plasma and cerebrospinal fluid of patients with neuropathic pain and relevant animal models. Similarly, our proteomic analysis detected a strong activation of complement pathways in the serum of nerve-injured mice, both at acute and chronic phase, which was inhibited by BMCE, and mice pain experience was improved in parallel.
5. Conclusion
It is worth emphasizing that recent remarkable advances in protein profiling technologies (eg, protein separation, mass spectrometry, and bioinformatics) offer great promise in pain research. Serum and plasma proteomics allow for monitoring the changes of functionally relevant proteins and enables the interrogation of associated protein networks with their predicted activities.26,50,74 In addition to providing clear evidence that nerve injury is associated with a long-term systemic disturbance, which has a role in the generation of chronic pain, the current findings also implicate multiple inflammation-related players in pain pathology, including cytokines and chemokines, autoantibodies, and complement factors. These molecules may act distinctively or synergetically, at different stages of the pathology, leading to chronic pain. However, because only male mice were used in this study, the potential contribution of systemic inflammation to chronic pain in female mice will need further investigation.
Conflict of interest statement
The authors have no conflicts of interest to declare.
Appendix A. Supplemental digital content
Supplemental digital content associated with this article can be found online at http://links.lww.com/PAIN/B656.
Supplementary Material
Acknowledgements
This work was supported by funding from the Canadian Institutes for Health Research (CIHR) PJT-155929 to JZ, from the National Sciences and Engineering Research Council of Canada (NSERC) RGPIN-2020-05228 to FB and Fonds de recherche Quebec Sante (FRQS) JZ and FB. Proteomic equipment was funded by the Canadian Foundation for Innovation (CFI) and the Fonds de Recherche du Québec (FRQ) project #36706 to FB. The authors acknowledge technical assistance of Oladayo Oladiran and JingWen Meng.
Author contributions: W.B.S. Zhou, X.Q. Shi, and Y. Liu performed experiments; S.D. Tran, F. Beaudry, and J. Zhang conceived the study, and W.B.S. Zhou, S.D. Tran, F. Beaudry, and J. Zhang wrote the manuscript.
Footnotes
Sponsorships or competing interests that may be relevant to content are disclosed at the end of this article.
Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's Web site (www.painjournalonline.com).
Contributor Information
Wen Bo Sam Zhou, Email: Wen.B.Zhou@mail.mcgill.ca.
Xiang Qun Shi, Email: Xiangqun.Shi@mcgill.ca.
Younan Liu, Email: Younan.Liu@mcgill.ca.
Simon D. Tran, Email: Simon.Tran@mcgill.ca.
Francis Beaudry, Email: Francis.Beaudry@UMontreal.ca.
References
- [1].Abughanam G, Elkashty OA, Liu Y, Bakkar MO, Tran SD. Mesenchymal stem cells extract (MSCsE)-Based therapy alleviates xerostomia and keratoconjunctivitis sicca in sjogren's syndrome-like disease. Int J Mol Sci 2019;20:4750. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [2].Bäckryd E, Tanum L, Lind AL, Larsson A, Gordh T. Evidence of both systemic inflammation and neuroinflammation in fibromyalgia patients, as assessed by a multiplex protein panel applied to the cerebrospinal fluid and to plasma. J Pain Res 2017;10:515–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [3].Bäckryd E, Themistocleous A, Larsson A, Gordh T, Rice ASC, Tesfaye S, Bennett DL, Gerdle B. Hepatocyte growth factor, colony-stimulating factor 1, CD40, and 11 other inflammation-related proteins are associated with pain in diabetic neuropathy: exploration and replication serum data from the Pain in Neuropathy Study. PAIN 2022;163:897–909. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [4].Bates D, Schultheis BC, Hanes MC, Jolly SM, Chakravarthy KV, Deer TR, Levy RM, Hunter CW. A comprehensive algorithm for management of neuropathic pain. Pain Med 2019;20(Suppl 1):S2–S12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [5].Benjamini Y, Yosef H. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B (Methodological) 1995;57:289–300. [Google Scholar]
- [6].Chaplan SR, Bach FW, Pogrel JW, Chung JM, Yaksh TL. Quantitative assessment of tactile allodynia in the rat paw. J Neurosci Methods 1994;53:55–63. [DOI] [PubMed] [Google Scholar]
- [7].Cobos EJ, Nickerson CA, Gao F, Chandran V, Bravo-Caparrós I, González-Cano R, Riva P, Andrews NA, Latremoliere A, Seehus CR, Perazzoli G, Nieto FR, Joller N, Painter MW, Ma CHE, Omura T, Chesler EJ, Geschwind DH, Coppola G, Rangachari M, Woolf CJ, Costigan M. Mechanistic differences in neuropathic pain modalities revealed by correlating behavior with global expression profiling. Cell Rep 2018;22:1301–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [8].Colloca L, Ludman T, Bouhassira D, Baron R, Dickenson AH, Yarnitsky D, Freeman R, Truini A, Attal N, Finnerup NB, Eccleston C, Kalso E, Bennett DL, Dworkin RH, Raja SN. Neuropathic pain. Nat Rev Dis Primers 2017;3:17002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [9].Cunningham-Rundles C. The secretory component and the J chain. In: Litman GW, Good RA, eds. Immunoglobulins. Boston, MA: Springer US, 1978; 155–72. [Google Scholar]
- [10].Dixon WJ. Efficient analysis of experimental observations. Annu Rev Pharmacol Toxicol 1980;20:441–62. [DOI] [PubMed] [Google Scholar]
- [11].Donnelly CR, Andriessen AS, Chen G, Wang K, Jiang C, Maixner W, Ji RR. Central nervous system targets: glial cell mechanisms in chronic pain. Neurotherapeutics 2020;17:846–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [12].Doupis J, Lyons TE, Wu S, Gnardellis C, Dinh T, Veves A. Microvascular reactivity and inflammatory cytokines in painful and painless peripheral diabetic neuropathy. J Clin Endocrinol Metab 2009;94:2157–63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [13].Echeverry S, Shi XQ, Rivest S, Zhang J. Peripheral nerve injury alters blood-spinal cord barrier functional and molecular integrity through a selective inflammatory pathway. J Neurosci 2011;31:10819–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [14].Edwards JC, Szczepanski L, Szechinski J, Filipowicz-Sosnowska A, Emery P, Close DR, Stevens RM, Shaw T. Efficacy of B-cell-targeted therapy with rituximab in patients with rheumatoid arthritis. N Engl J Med 2004;350:2572–81. [DOI] [PubMed] [Google Scholar]
- [15].Ehrenstein MR, Notley CA. The importance of natural IgM: scavenger, protector and regulator. Nat Rev Immunol 2010;10:778–86. [DOI] [PubMed] [Google Scholar]
- [16].Ernberg M, Christidis N, Ghafouri B, Bileviciute-Ljungar I, Löfgren M, Bjersing J, Palstam A, Larsson A, Mannerkorpi K, Gerdle B, Kosek E. Plasma cytokine levels in fibromyalgia and their response to 15 Weeks of progressive resistance exercise or relaxation therapy. Mediators Inflamm 2018;2018:3985154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [17].Fang D, Hu S, Liu Y, Quan VH, Seuntjens J, Tran SD. Identification of the active components in Bone Marrow Soup: a mitigator against irradiation-injury to salivary glands. Sci Rep 2015;5:16017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [18].Finnerup NB, Kuner R, Jensen TS. Neuropathic pain: from mechanisms to treatment. Physiol Rev 2021;101:259–301. [DOI] [PubMed] [Google Scholar]
- [19].Fonseca MM, Davoli-Ferreira M, Santa-Cecilia F, Guimaraes RM, Oliveira FFB, Kusuda R, Ferreira DW, Alves-Filho JC, Cunha FQ, Cunha TM. IL-27 counteracts neuropathic pain development through induction of IL-10. Front Immunol 2019;10:3059. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [20].Fritzinger DC, Benjamin DE. The complement system in neuropathic and postoperative pain. Open Pain J 2016;9:26–37. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [21].Fu ES, Zhang YP, Sagen J, Candiotti KA, Morton PD, Liebl DJ, Bethea JR, Brambilla R. Transgenic inhibition of glial NF-kappa B reduces pain behavior and inflammation after peripheral nerve injury. PAIN 2010;148:509–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [22].Gao YJ, Ji RR. Chemokines, neuronal-glial interactions, and central processing of neuropathic pain. Pharmacol Ther 2010;126:56–68. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [23].Gerdle B, Ghafouri B, Ghafouri N, Bäckryd E, Gordh T. Signs of ongoing inflammation in female patients with chronic widespread pain: a multivariate, explorative, cross-sectional study of blood samples. Medicine (Baltimore) 2017;96:e6130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [24].Gerdle B, Wåhlén K, Ghafouri B. Plasma protein patterns are strongly correlated with pressure pain thresholds in women with chronic widespread pain and in healthy controls-an exploratory case-control study. Medicine (Baltimore) 2020;99:e20497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [25].Gerdle B, Wåhlén K, Gordh T, Ghafouri B. Thermal pain thresholds are significantly associated with plasma proteins of the immune system in chronic widespread pain-an exploratory pilot study using multivariate and network analyses. J Clin Med 2021;10:3652. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [26].Geyer PE, Kulak NA, Pichler G, Holdt LM, Teupser D, Mann M. Plasma proteome profiling to assess human health and disease. Cell Syst 2016;2:185–95. [DOI] [PubMed] [Google Scholar]
- [27].Giorgio C, Zippoli M, Cocchiaro P, Castelli V, Varrassi G, Aramini A, Allegretti M, Brandolini L, Cesta MC. Emerging role of C5 complement pathway in peripheral neuropathies: current treatments and future perspectives. Biomedicines 2021;9:399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [28].Goebel A, Krock E, Gentry C, Israel MR, Jurczak A, Urbina CM, Sandor K, Vastani N, Maurer M, Cuhadar U, Sensi S, Nomura Y, Menezes J, Baharpoor A, Brieskorn L, Sandström A, Tour J, Kadetoff D, Haglund L, Kosek E, Bevan S, Svensson CI, Andersson DA. Passive transfer of fibromyalgia symptoms from patients to mice. J Clin Invest 2021;131:e144201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [29].Griffin RS, Costigan M, Brenner GJ, Him Eddie Ma C, Scholz J, Moss A, Allchorne AJ, Stahl GL, Woolf CJ. Complement induction in spinal cord microglia results in anaphylatoxin C5a-mediated pain hypersensitivity. J Neurosci 2007;27:8699. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [30].Han CL, Sheng YC, Wang SY, Chen YH, Kang JH. Serum proteome profiles revealed dysregulated proteins and mechanisms associated with fibromyalgia syndrome in women. Sci Rep 2020;10:12347. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [31].Held M, Karl F, Vlckova E, Rajdova A, Escolano-Lozano F, Stetter C, Bharti R, Förstner KU, Leinders M, Dušek L, Birklein F, Bednarik J, Sommer C, Üçeyler N. Sensory profiles and immune-related expression patterns of patients with and without neuropathic pain after peripheral nerve lesion. PAIN 2019;160:2316–27. [DOI] [PubMed] [Google Scholar]
- [32].Hysing EB, Smith L, Thulin M, Karlsten R, Bothelius K, Gordh T. Detection of systemic inflammation in severely impaired chronic pain patients and effects of a multimodal pain rehabilitation program. Scand J Pain 2019;19:235–44. [DOI] [PubMed] [Google Scholar]
- [33].Iordanova Schistad E, Kong XY, Furberg AS, Bäckryd E, Grimnes G, Emaus N, Rosseland LA, Gordh T, Stubhaug A, Engdahl B, Halvorsen B, Nielsen CS. A population-based study of inflammatory mechanisms and pain sensitivity. PAIN 2020;161:338–50. [DOI] [PubMed] [Google Scholar]
- [34].Ji R-R, Nackley A, Huh Y, Terrando N, Maixner W. Neuroinflammation and central sensitization in chronic and widespread pain. Anesthesiology 2018;129:343–66. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [35].Ji RR, Chamessian A, Zhang YQ. Pain regulation by non-neuronal cells and inflammation. Science (New York, NY) 2016;354:572–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [36].Ji RR, Xu ZZ, Gao YJ. Emerging targets in neuroinflammation-driven chronic pain. Nat Rev Drug Discov 2014;13:533–48. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [37].Jönsson M, Gerdle B, Ghafouri B, Bäckryd E. The inflammatory profile of cerebrospinal fluid, plasma, and saliva from patients with severe neuropathic pain and healthy controls-a pilot study. BMC Neurosci 2021;22:6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [38].Kanda H, Kobayashi K, Yamanaka H, Okubo M, Noguchi K. Microglial TNFα induces COX2 and PGI2 synthase expression in spinal endothelial cells during neuropathic pain. eNeuro 2017;4. ENEURO.0064-0017.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [39].Lacagnina MJ, Heijnen CJ, Watkins LR, Grace PM. Autoimmune regulation of chronic pain. Pain Rep 2021;6:e905. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [40].Langjahr M, Schubert AL, Sommer C, Üçeyler N. Increased pro-inflammatory cytokine gene expression in peripheral blood mononuclear cells of patients with polyneuropathies. J Neurol 2018;265:618–27. [DOI] [PubMed] [Google Scholar]
- [41].Lasselin J, Kemani MK, Kanstrup M, Olsson GL, Axelsson J, Andreasson A, Lekander M, Wicksell RK. Low-grade inflammation may moderate the effect of behavioral treatment for chronic pain in adults. J Behav Med 2016;39:916–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [42].Lee S, Shi XQ, Fan A, West B, Zhang J. Targeting macrophage and microglia activation with colony stimulating factor 1 receptor inhibitor is an effective strategy to treat injury-triggered neuropathic pain. Mol pain 2018;14:1744806918764979. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [43].Lehallier B, Gate D, Schaum N, Nanasi T, Lee SE, Yousef H, Moran Losada P, Berdnik D, Keller A, Verghese J, Sathyan S, Franceschi C, Milman S, Barzilai N, Wyss-Coray T. Undulating changes in human plasma proteome profiles across the lifespan. Nat Med 2019;25:1843–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [44].Levin ME, Jin JG, Ji RR, Tong J, Pomonis JD, Lavery DJ, Miller SW, Chiang LW. Complement activation in the peripheral nervous system following the spinal nerve ligation model of neuropathic pain. PAIN 2008;137:182–201. [DOI] [PubMed] [Google Scholar]
- [45].Li J, Wei GH, Huang H, Lan YP, Liu B, Liu H, Zhang W, Zuo YX. Nerve injury-related autoimmunity activation leads to chronic inflammation and chronic neuropathic pain. Anesthesiology 2013;118:416–29. [DOI] [PubMed] [Google Scholar]
- [46].Li M, Peake PW, Charlesworth JA, Tracey DJ, Moalem-Taylor G. Complement activation contributes to leukocyte recruitment and neuropathic pain following peripheral nerve injury in rats. Eur J Neurosci 2007;26:3486–500. [DOI] [PubMed] [Google Scholar]
- [47].Li WW, Guo TZ, Shi X, Czirr E, Stan T, Sahbaie P, Wyss-Coray T, Kingery WS, Clark JD. Autoimmunity contributes to nociceptive sensitization in a mouse model of complex regional pain syndrome. PAIN 2014;155:2377–89. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [48].Liang DY, Li X, Shi X, Sun Y, Sahbaie P, Li WW, Clark DJ. The complement component C5a receptor mediates pain and inflammation in a postsurgical pain model. Pain 2012;153:366–72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [49].Lim TKY, Shi XQ, Johnson JM, Rone MB, Antel JP, David S, Zhang J. Peripheral nerve injury induces persistent vascular dysfunction and endoneurial hypoxia, contributing to the genesis of neuropathic pain. J Neurosci 2015;35:3346–59. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [50].Lindoso RS, Sandim V, Collino F, Carvalho AB, Dias J, da Costa MR, Zingali RB, Vieyra A. Proteomics of cell–cell interactions in health and disease. Proteomics 2016;16:328–44. [DOI] [PubMed] [Google Scholar]
- [51].Liu L, Törnqvist E, Mattsson P, Eriksson NP, Persson JK, Morgan BP, Aldskogius H, Svensson M. Complement and clusterin in the spinal cord dorsal horn and gracile nucleus following sciatic nerve injury in the adult rat. Neuroscience 1995;68:167–79. [DOI] [PubMed] [Google Scholar]
- [52].Loggia ML, Chonde DB, Akeju O, Arabasz G, Catana C, Edwards RR, Hill E, Hsu S, Izquierdo-Garcia D, Ji R-R, Riley M, Wasan AD, Zürcher NR, Albrecht DS, Vangel MG, Rosen BR, Napadow V, Hooker JM. Evidence for brain glial activation in chronic pain patients. Brain 2015;138:604–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [53].Miller RJ, Jung H, Bhangoo SK, White FA. Cytokine and chemokine regulation of sensory neuron function. Handb Exp Pharmacol 2009;194:417–49. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [54].Miller RJ, Rostene W, Apartis E, Banisadr G, Biber K, Milligan ED, White FA, Zhang J. Chemokine action in the nervous system. J Neurosci 2008;28:11792–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [55].Milner EC, Anolik J, Cappione A, Sanz I. Human innate B cells: a link between host defense and autoimmunity?. Springer Semin Immunopathol 2005;26:433–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [56].Pinho-Ribeiro FA, Verri WA, Jr., Chiu IM. Nociceptor sensory neuron-immune interactions in pain and inflammation. Trends Immunology 2017;38:5–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [57].Pogatzki-Zahn EM, Gomez-Varela D, Erdmann G, Kaschube K, Segelcke D, Schmidt M. A proteome signature for acute incisional pain in dorsal root ganglia of mice. PAIN 2021;162:2070–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [58].Ramesh G, MacLean AG, Philipp MT. Cytokines and chemokines at the crossroads of neuroinflammation, neurodegeneration, and neuropathic pain. Mediators Inflamm 2013;2013:480739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [59].Seltzer Z, Dubner R, Shir Y. A novel behavioral model of neuropathic pain disorders produced in rats by partial sciatic nerve injury. PAIN 1990;43:205–18. [DOI] [PubMed] [Google Scholar]
- [60].Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res 2003;13:2498–504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [61].Simon R, Girod M, Fonbonne C, Salvador A, Clement Y, Lanteri P, Amouyel P, Lambert JC, Lemoine J. Total ApoE and ApoE4 isoform assays in an Alzheimer's disease case-control study by targeted mass spectrometry (n=669): a pilot assay for methionine-containing proteotypic peptides. Mol Cell Proteomics : MCP 2012;11:1389–403. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [62].Su X, Liu Y, Bakkar M, ElKashty O, El-Hakim M, Seuntjens J, Tran SD. Labial stem cell extract mitigates injury to irradiated salivary glands. J Dent Res 2020;99:293–301. [DOI] [PubMed] [Google Scholar]
- [63].Tran SD, Liu Y, Xia D, Maria OM, Khalili S, Wang RW, Quan VH, Hu S, Seuntjens J. Paracrine effects of bone marrow soup restore organ function, regeneration, and repair in salivary glands damaged by irradiation. PLoS One 2013;8:e61632. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [64].Uçeyler N, Eberle T, Rolke R, Birklein F, Sommer C. Differential expression patterns of cytokines in complex regional pain syndrome. PAIN 2007;132:195–205. [DOI] [PubMed] [Google Scholar]
- [65].Uçeyler N, Rogausch JP, Toyka KV, Sommer C. Differential expression of cytokines in painful and painless neuropathies. Neurology 2007;69:42–9. [DOI] [PubMed] [Google Scholar]
- [66].Uçeyler N, Valenza R, Stock M, Schedel R, Sprotte G, Sommer C. Reduced levels of antiinflammatory cytokines in patients with chronic widespread pain. Arthritis Rheum 2006;54:2656–64. [DOI] [PubMed] [Google Scholar]
- [67].van Hecke O, Austin SK, Khan RA, Smith BH, Torrance N. Neuropathic pain in the general population: a systematic review of epidemiological studies. PAIN 2014;155:654–62. [DOI] [PubMed] [Google Scholar]
- [68].Wåhlén K, Ernberg M, Kosek E, Mannerkorpi K, Gerdle B, Ghafouri B. Significant correlation between plasma proteome profile and pain intensity, sensitivity, and psychological distress in women with fibromyalgia. Sci Rep 2020;10:12508. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [69].Wåhlén K, Ghafouri B, Ghafouri N, Gerdle B. Plasma protein pattern correlates with pain intensity and psychological distress in women with chronic widespread pain. Front Psychol 2018;9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [70].Wåhlén K, Olausson P, Carlsson A, Ghafouri N, Gerdle B, Ghafouri B. Systemic alterations in plasma proteins from women with chronic widespread pain compared to healthy controls: a proteomic study. J Pain Res 2017;10:797–809. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [71].Wåhlén K, Yan H, Welinder C, Ernberg M, Kosek E, Mannerkorpi K, Gerdle B, Ghafouri B. Proteomic investigation in plasma from women with fibromyalgia in response to a 15-wk resistance exercise intervention. Med Sci Sports Exerc 2022;54:232–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [72].Wang GYF, Shi XQ, Wu W, Gueorguieva M, Yang M, Zhang J. Sustained and repeated mouth opening leads to development of painful temporomandibular disorders involving macrophage/microglia activation in mice. PAIN 2018;159:1277–88. [DOI] [PubMed] [Google Scholar]
- [73].Warwick CA, Keyes AL, Woodruff TM, Usachev YM. The complement cascade in the regulation of neuroinflammation, nociceptive sensitization, and pain. J Biol Chem 2021;297:101085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [74].Whittaker K, Burgess R, Jones V, Yang Y, Zhou W, Luo S, Wilson J, Huang RP. Quantitative proteomic analyses in blood: a window to human health and disease. J Leukoc Biol 2019;106:759–75. [DOI] [PubMed] [Google Scholar]
- [75].Williams SA, Kivimaki M, Langenberg C, Hingorani AD, Casas JP, Bouchard C, Jonasson C, Sarzynski MA, Shipley MJ, Alexander L, Ash J, Bauer T, Chadwick J, Datta G, DeLisle RK, Hagar Y, Hinterberg M, Ostroff R, Weiss S, Ganz P, Wareham NJ. Plasma protein patterns as comprehensive indicators of health. Nat Med 2019;25:1851–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [76].Yang M, Rainone A, Shi XQ, Fournier S, Zhang J. A new animal model of spontaneous autoimmune peripheral polyneuropathy: implications for Guillain-Barre syndrome. Acta neuropathologica Commun 2014;2:5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [77].Zhang C, Ward J, Dauch JR, Tanzi RE, Cheng HT. Cytokine-mediated inflammation mediates painful neuropathy from metabolic syndrome. PLoS One 2018;13:e0192333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [78].Zhou WBS, Meng J, Zhang J. Does low grade systemic inflammation have a role in chronic pain? Front Mol Neurosci 2021;14:785214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- [79].Zhou Y, Zhou B, Pache L, Chang M, Khodabakhshi AH, Tanaseichuk O, Benner C, Chanda SK. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nat Commun 2019;10:1523. [DOI] [PMC free article] [PubMed] [Google Scholar]
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