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Chronic thoracic spinal cord injury impairs CD8+ T-cell function by up-regulating programmed cell death-1 expression
Journal of Neuroinflammation volume 11, Article number: 65 (2014)
Chronic spinal cord injury (SCI) induces immune depression in patients, which contributes to their higher risk of developing infections. While defects in humoral immunity have been reported, complications in T-cell immunity during the chronic phase of SCI have not yet been explored.
To assess the impact of chronic SCI on peripheral T-cell number and function we used a mouse model of severe spinal cord contusion at thoracic level T9 and performed flow cytometry analysis on the spleen for T-cell markers along with intracellular cytokine staining. Furthermore we identified alterations in sympathetic activity in the spleen of chronic SCI mice by measuring splenic levels of tyrosine hydroxylase (TH) and norepinephrine (NE). To gain insight into the neurogenic mechanism leading to T-cell dysfunction we performed in vitro NE stimulation of T-cells followed by flow cytometry analysis for T-cell exhaustion marker.
Chronic SCI impaired both CD4+ and CD8+ T-cell cytokine production. The observed T-cell dysfunction correlated with increased expression of programmed cell death 1 (PD-1) exhaustion marker on these cells. Blocking PD-1 signaling in vitro restored the CD8+ T-cell functional defect. In addition, we showed that chronic SCI mice had higher levels of splenic NE, which contributed to the T-cell exhaustion phenotype, as PD-1 expression on both CD4+ and CD8+ T-cells was up-regulated following sustained exposure to NE in vitro.
These studies indicate that alteration of sympathetic activity following chronic SCI induces CD8+ T-cell exhaustion, which in turn impairs T-cell function and contributes to immune depression. Inhibition of the exhaustion pathway should be considered as a new therapeutic strategy for chronic SCI-induced immune depression.
Spinal cord injury (SCI) is a devastating condition that affects more than 200,000 people in the United States. Besides the obvious locomotor impairments, SCI brings about a wide array of metabolic and immune problems for those patients, especially now that their life expectancy has considerably increased . Patients suffering from SCI are at higher risk than the general population of developing infections and their prognosis is often much poorer [2–4]. Originally the immunodeficiency syndrome observed in SCI patients was thought to be due for the most part to high levels of glucocorticoids. However, the extent of immune depression is much more pronounced with injuries to the central nervous system than with any other stressful traumatic events suggesting a neurogenic component to the immunodeficiency [5, 6]. Over the past decade it became clear that the immune system is in close relationship with the nervous system and that neuro-immune communications are essential to develop an appropriate immune response to pathogens [7, 8].
The immune organs are highly innervated by the sympathetic nervous system (SNS) , and through the release of norepinephrine (NE), the SNS has been reported to regulate the functions of both innate and adaptive immune cells . Tracing studies using pseudorabies virus injection in the spleen labeled the thoracic spinal cord segments from level 3 to level 12 . Thus, traumatic injury to the thoracic spinal cord may disrupt the sympathetic preganglionic neurons at the injury level and in turn may alter the sympathetic innervation of the spleen.
Recent studies using rodent SCI models have begun to investigate the effect of chronic SCI (> four weeks) on the adaptive immunity. Chronic SCI impairs the antibody response in both mice and rats [12–14]. The germinal center B-cells’ number and function are also impaired by chronic SCI . Importantly, T-cells have a key role in both antibody mediated and cytotoxic immune response to viral infections such as influenza . It has been shown that CD4+ T-cell effector function to mouse hepatitis virus (MHV) is suppressed following SCI in the acute phase . However, whether or not SCI alters T-cell function over a chronic time period has yet to be explored.
T-cell exhaustion and its correlation with immune defects have been widely studied in chronic viral infection, aging and cancer research in the last decade [17–23]. Elevated expression of exhaustion markers such as programmed cell death-1 (PD-1) negatively regulates T-cell effector function. Blockade of exhaustion marker pathways has been shown to restore the T-cell functional defects in both chronic virus infection and tumor models [18, 24–28]. Higher viral load, persistent exposure to antigen and loss of CD4+ T-cell correlates with T-cell exhaustion . It is unclear whether T-cell exhaustion is responsible for chronic SCI-induced immune depression and whether change in SNS activity affects T-cell exhaustion.
In the present study, we investigated the impact of chronic SCI on the peripheral T-cell immunity. We provide evidence that cytokine production by CD4+ and CD8+ T-cells from chronically injured mice is impaired and that this impairment was due to increased expression of PD-1 exhaustion marker on splenic T-cells. Blocking PD-1 rescued the functional defects of T-cells isolated from chronic SCI mice. We also demonstrated that increased levels of splenic NE following SCI may contribute to increased PD-1 expression on T-cells as we showed in vitro that PD-1 expression is increased on T-cells in presence of sustained levels of NE. Collectively, these findings suggest that deregulation of splenic sympathetic activity by chronic SCI induces T-cell exhaustion, which in turn results in T-cell dysfunction and immune depression.
Age-matched female C57BL/6 mice were purchased from The Jackson Laboratory or bred in the Animal Facility of the Miami Project to Cure Paralysis. All mice used for the experiments were four to seven months old when sacrificed. All animal protocols were approved by the University of Miami Institutional Animal Care and Use Committee (IACUC) and are in accordance with National Research Council guidelines for the care and use of laboratory animals.
Spinal cord injury
Severe spinal contusion injury was induced using the Infinite Horizon Impactor (Precision Systems and Instrumentation, LLC). Briefly, three to four month-old mice (weight ± SD: 19.9 ± 1.5 g) were acclimated for one week prior to surgery. Mice were anesthetized by intraperitoneal injection of ketamine (100 mg/kg) and xylazine (10 mg/kg). A laminectomy was performed at vertebrae thoracic level 9 (T9). The underlying spinal cord was exposed and injured by the tip of the contusion device at a predetermined impact force of 70 kDynes (severe injury). After surgery, mice were housed separately and received daily subcutaneous injections of lactated Ringer’s solution to prevent fluid loss and gentamicin (40 mg/kg) to prevent urinary tract infections. Manual bladder expression (twice daily) was performed until mice regain bladder function. After about three weeks mice were reunited with their original cage mates.
Mice were anesthetized and a laparotomy was performed to expose and excise the spleen. Single cell suspensions of individual spleens were prepared by mashing the spleens through a 100-μm nylon mesh strainer. Strainers were washed with Hank’s Balanced Salt Solution (HBSS, Gibco). Red blood cells were lysed with ACK lysing buffer (Gibco, Grand Island, NY). For flow cytometry staining, splenocytes were washed with HBSS, resuspended in flow cytometry (FACS) staining buffer (HBSS, 1% BSA, 0.05% sodium azide). For ex vivo stimulation assay, splenocytes were washed with complete RPMI (RPMI 1640, 5% FBS, 100 U/mL penicillin, 100 μg/mL streptomycin). The number of live cells was determined by trypan blue exclusion staining.
Prior to staining, all samples were incubated with 5 μg/mL Fc receptor block (anti-mouse CD16/32, Biolegend, San Diego, CA.) for five minutes on ice to prevent nonspecific staining. Cells were stained for surface markers by adding the following conjugated Abs: APC-anti-CD11c (Biolegend, San Diego, CA. clone N418, 1:100), PE-anti-CD274 (Biolegend, San Diego, CA. PD-L1, clone 10F.9G2, 1:100), APC/Cy7-anti-CD4 (Biolegend, San Diego, CA. clone GK1.5, 1:200), Alexa Fluor 488-anti-CD8a (Biolegend, San Diego, CA. clone 53-6.7, 1:200) and PE/Cy7-anti-CD279 (Biolegend, San Diego, CA. PD-1, clone 29F.1A12, 1:200), APC-efluor780-anti-B220 (eBioscience, San Diego, CA. clone HIS24, 1:200), PE-Cy7-anti-CD11b (eBioscience, San Diego, CA. clone M1/70, 1:200), PE/Cy7-anti-CD45 (eBioscience, San Diego, CA. clone 30-F11, 1:10,000), FITC-anti-CD45 (eBioscience, San Diego, CA. clone 30-F11, 1:200), Alexa Fluor 488-anti-CD3e (eBioscience, San Diego, CA. clone 145-2C11, 1:200), efluor450-anti-CD3 (eBioscience, San Diego, CA. clone 17A2, 1:200), APC-anti-CD4 (eBioscience, San Diego, CA. 1:100), PE-anti-CD4 (eBioscience, San Diego, CA. clone GK1.5, 1:200), APC-anti-CD8a (eBioscience, San Diego, CA. clone 53-6.7, 1:200), PE-anti-CD8a (eBioscience, San Diego, CA. clone 53-6.7, 1:100). For surface antibody staining, cells were then fixed overnight with FACS buffer containing 1% paraformaldehyde and resuspended in FACS buffer. For detection of dead/live cells, unfixed cells were incubated with 5 μL of 7-AAD Viability Staining Solution (Biolegend, San Diego, CA) and immediately analyzed by flow cytometry. For intracellular antibody staining, cells are fixed, permeablized and stained using Foxp3 staining Kit (eBiosicence, San Diego, CA.) according to the manufacture’s protocol. Intracellular marker expression was quantified using the following conjugated Abs: eFluor450-anti-IFN-γ (eBioscience, San Diego, CA. 1:100) and PerCP-eFluor 710-anti-TNFα (eBioscience, San Diego, CA. 1:100). All antibody incubations were performed for 20 minutes at 4°C. The following isotype control antibodies were used for flow cytometry gating: PerCP-eFluor710 IgG1κ (clone eBRG1, eBioscience, San Diego, CA), eFluor450 IgG1κ (clone eBRG1, eBioscience, San Diego, CA), APC/Cy7 IgG2b κ (clone RTK4530, Biolegend, San Diego, CA) and APC IgG2a κ (clone eBR2a, eBioscience, San Diego, CA). Cells were analyzed using BD LSRII, BD LSR Fortessa-HTS or BD FACS. Canto-II flow cytometers and were quantified using FACS-Diva Version 6.1.3 software (BD Biosciences, San Jose, CA). Gating strategies were described in Additional files 1 and 2.
Splenocytes were isolated and counted as above. For PMA/ionomycin stimulation, 106 splenocytes were cultured in 1 mL of complete RPMI in a 24-well plate with 50 ng/mL phorbol myristate acetate (PMA, Sigma, St. Louis, MO), 0.75 μg/mL ionomycin calcium salt (Sigma, St. Louis, MO) and 1 μL GolgiPlug protein transport inhibitor (BD Biosciences, San Jose, CA) for four hours at 37°C, 5% CO2. For the PD-1 blockade assay, 10 μg/mL anti-PD-1 blocking antibody (Biolegend, San Diego, CA) or 10 μg/mL rat IgG2a, κ isotype control (Biolegend, San Diego, CA) was added to the complete RPMI along with PMA and ionomycin. For the T-cell receptor (TCR) activation assay, 96-well plates were coated with 10 μg/mL anti-mouse CD3e (eBioscience, San Diego, CA. clone 145-2C11) overnight at 4°C. The next day splenocytes (106/well) were added in 200 μL T-cell medium (RPMI, 10% FBS, 55 μM 2-mercaptoethanol, 2 mM L-glutamine, 10 μg/ml gentamicin and 10 μM HEPES) along with 2 μg/mL of anti-mouse CD28 (eBioscience, San Diego, CA. clone 37.51) and 50 U/mL of recombinant human IL-2 (Peprotech, Rocky Hill, NJ) and cultured for three days at 37°C in 5% CO2. Brefeldin A (eBioscience, San Diego, CA) was added six hours before intracellular cytokine cell staining.
ELISA measurement of cytokine concentration
Supernatants from T-cell stimulation (three-days of TCR activation as described above) were collected and frozen at −80°C. TNF-α and IFN-γ protein levels were measured using the Mouse TNF-α ELISA Ready-SET-Go! Kit (eBioscience, San Diego, CA) and the Mouse IFN- γ ELISA Ready-SET-Go! Kit (eBioscience, San Diego, CA), respectively, according to the manufacture’s protocol. For TNF-α, supernatants were diluted 1:5 and for IFN-γ 1:50.
T-cell proliferation assay
Isolated splenocytes from CT and chronic SCI mice were resuspended in 1 ml PBS containing 5% FBS. Immediately after addition of carboxyfluorescein diacetate succinimidyl ester (CFSE, 5 μM) cells were mixed thoroughly and incubated for five minutes at room temperature. Following incubation, free CFSE was quenched with 10 ml T-cell medium (RPMI, 10% FBS, 2-mercaptoethanol (55 μM), l-glutamine (2 mM), gentamicin (10 μg/ml) and HEPES (10 μM)). After extensive washes in T-cell medium, cells were diluted to 1 × 106/ml and seeded in an anti-CD3e-coated 96-well plate at 200 μl/well. Anti-mouse CD28 (eBioscience, San Diego, CA, clone 37.51, 2 μg/mL) and 10 U/mL of recombinant human IL-2 (Peprotech, Rocky Hill, NJ) were also added to these wells for further stimulation. Cells were subsequently allowed to proliferate at 37°C in 5% CO2 for three days before staining using APC anti-CD4 and PE anti-CD8. Flow cytometry data (20,000 events gated on CD4 or CD8) were acquired on LSR II flow cytometer (BD Biosciences, San Jose, CA). Data analysis was performed using Flowjo Software (TreeStar Inc, Ashland, OR).
T-cell enrichment was obtained by plating splenocytes in a 75 cm2 cell culture flask coated with 100 μg/mL goat anti-mouse IgG + IgM (H + L) (Jackson Immuno Research Laboratories, West Grove, PA) for one hour, followed by re-plating the non-adherent cells in another 75 cm2 cell culture flask for one hour at 37°C, 5% CO2. The non-adherent T-cells were then collected and washed with complete RPMI before used in stimulation assays.
Norepinephrine and T-cell exhaustion
To measure the effects of NE on T-cell exhaustion, T-cells from uninjured (CT) mice were enriched and counted as described above. Prior to cell culture, a fresh stock solution of 100 mM NE was prepared by dissolving 50 mg of (−)-norepinephrine (Sigma, St. Louis, MO) in 2.96 mL of 0.4 N perchloric acid (PCA) containing 5 mM glutathione. Enriched T-cells (2 × 105) were cultured in 200 μL of cRPMI with either NE diluted to a final concentration of 10 μM or an equivalent volume of perchloric acid/glutathione solution as vehicle control. Cells were cultured for one day, two days or three days at 37°C, 5% CO2 and harvested for flow cytometry analysis. Culture medium with NE or vehicle was changed daily. To analyze T-cell cytokine production following NE exposure, we replaced the media with cRPMI in a 24-well plate with 50 ng/mL phorbol myristate acetate (PMA, Sigma, St. Louis, MO), 0.75 μg/mL ionomycin calcium salt (Sigma, St. Louis, MO) and brefeldin A solution (eBioscience, San Diego, CA) for four hours at 37°C, 5% CO2.
Protein extraction and Western blotting
Spleens were harvested and homogenized in radio-immunoprecipitation assay lysis buffer (10 mM Na-phosphate pH 7.2, 150 mM NaCl, 1% Igepal CA-630, 1% Na-deoxycholate, 0.1% sodium dodecyl sulfate, 2 mM ethylenediaminetetraacetic acid) containing complete protease inhibitor cocktail (Roche Diagnostics, Indianapolis, IN) and phosphatase inhibitor cocktail 3 (Sigma, St. Louis, MO). The samples were mixed end-over-end at 4°C for 20 minutes and lysates were centrifuged at 4°C for 15 minutes at 14,000 rpm. The protein concentrations in the supernatant were quantified using DC Protein Assay Kit (Bio-Rad, Hercules, CA). Protein samples (20 μg) and protein prestained standards (Precision Plus, Sanborn, NY) were resolved on a 10% sodium dodecyl sulfate polyacrylamide gel electrophores (SDS-PAGE) and then transferred to nitrocellulose membrane (Bio-Rad, Hercules, CA). Membranes were blocked for one hour at room temperature in Tris-buffered saline with Tween-20 (TBST) containing 5% non-fat dry milk followed by incubation overnight at 4°C with rabbit anti-tyrosine hydroxylase antibody (1:1,000, Calbiochem, San Diego, CA). After extensive washes in TBST, a conjugated horseradish peroxidase anti-rabbit secondary antibody was then applied for 30 minutes at room temperature. Immunoreactive signals were visualized using enhanced chemiluminescence (ECL) Western blotting detection reagents (Amersham, Piscataway, NJ). The protein bands were quantified with Quantity One software (Bio-Rad, Hercules, CA) and normalized to β-actin.
Measurement of splenic norepinephrine
Spleens were snap frozen in liquid nitrogen and ground to powder taking care to avoiding any thawing. Glutathione/PCA solution (0.4 N perchloric acid with 5 mM glutathione) was added to the powder at 1 mL per 100 mg of tissue. Following homogenization, the samples were centrifuged for 15 minutes at 14,000 rpm and 4°C and the supernatants were stored at −80°C. Concentrations of NE in the supernatant were measured by the Hormone Assay & Analytical Services Core at Vanderbilt University School of Medicine.
All experimental data are expressed as mean ± standard error of the mean (SEM). Student’s t-test was applied for comparison between two groups. Graphpad Prism (Graphpad Software, La Jolla, CA, USA) was used for statistical analysis. P < 0.05 was considered as significant.
Chronic SCI alters the function of CD4+ and CD8+T-cells but not their numbers
Several studies have shown that following acute SCI (< seven days post-injury) there was a dramatic reduction in the number of splenic T-cells [30–32]. To evaluate the impact of spinal cord injury on spleen function at a chronic time point, namely five to seven weeks post-SCI, we first assessed the cell numbers with a focus on T-cells. As shown in Figure 1A, the spleen weight was not significantly different between the uninjured and chronic SCI groups (uninjured: 77.1 ± 2.1 mg; chronic SCI: 70.6 ± 5.3 mg; P = 0.27) nor was the total spleen cell number (uninjured: 86.5 ± 8.4 × 106; chronic SCI: 89.4 ± 9.2 × 106; P = 0.82) (Figure 1B). Furthermore, the spleens of uninjured and chronic SCI mice contained similar numbers of T-cells (uninjured: 27.0 ± 1.9 × 106; chronic SCI: 22.6 ± 2.4 × 106; P = 0.16) (Figure 1C, D) with no significant differences in the numbers of CD4+ T-cells (uninjured: 12.4 ± 1.0 × 106; chronic SCI: 10.0 ± 0.7 × 106; P = 0.06) or CD8+ T-cells (uninjured: 11.5 ± 0.8 × 106; chronic SCI: 9.3 ± 1.2 × 106; P = 0.14) (Figure 1C, E) between groups.
Effective T-cell response against pathogen requires the production of cytokines such as IFN-γ and TNF-α [33–36]. To evaluate the function of these T-cells, we isolated splenocytes from the spleens of uninjured and chronic SCI mice and stimulated them ex vivo with PMA/ionomycin. As shown in Figure 2A and 2B, a significantly smaller percentage of CD4+ T-cells produced IFN-γ following stimulation (uninjured: 8.3 ± 0.5%; chronic SCI: 5.8 ± 0.4%; P = 0.0005) also correlating with a significantly reduced number of IFN-γ+CD4+ T-cells in chronically injured mice compared to controls (uninjured: 1.0 ± 0.1 × 106; chronic SCI: 0.7 ± 0.1 × 106; P = 0.02). The percentage or number of CD4+ T-cell expressing TNF-α (Figure 2A, B) following stimulation was not significantly different between chronic SCI and control (percentage: uninjured: 9.5 ± 0.6%; chronic SCI: 9.1 ± 0.8%; P = 0.37; cell number: uninjured: 1.3 ± 0.1 × 106; chronic SCI: 1.4 ± 0.2 × 106; P = 0.38). However, the percentage and number of CD8+ T-cells expressing TNF-α was significantly reduced following chronic SCI (percentage: uninjured: 7.7 ± 0.7%; chronic SCI: 6.0 ± 0.6%; P = 0.04; cell number: uninjured: 0.80 ± 0.06 × 106; chronic SCI: 0.60 ± 0.05 × 106; P = 0.007) (Figure 2C, D), when neither the percentage nor the number of IFN-γ+CD8+ T-cells was changed by chronic SCI (percentage: uninjured: 20.1 ± 1.1%; chronic SCI: 18.5 ± 0.9%; P = 0.14; cell number: uninjured: 2.2 ± 0.2 × 106; chronic SCI: 1.9 ± 0.2 × 106; P = 0.17) (Figure 2C, D).
To confirm the functional impairment of T-cell cytokine production isolated from chronically injured mice, we repeated the experiment using anti-CD3/anti-CD28 stimulation protocol which is more physiologically relevant. As shown in Figure 3A, B, the percentages of CD4+ T-cells producing IFN-γ or TNF-α following anti-CD3/anti-CD28 stimulation were significantly decreased in the SCI group (IFN-γ: uninjured: 2.2 ± 0.2%; chronic SCI: 1.4 ± 0.1%; P = 0.005; TNF-α: uninjured: 2.2 ± 0.2 × 106; chronic SCI: 1.4 ± 0.2 × 106; P = 0.008). CD8+ T-cells from chronic SCI mice also show a reduction in the percentages of IFN-γ and TNF-α expressing cells in response to anti-CD3/anti-CD28 stimulation (IFN-γ: uninjured: 6.2 ± 0.7%; chronic SCI: 2.6 ± 0.4%; P = 0.001; TNF-α: uninjured: 2.8 ± 0.4 × 106; chronic SCI: 1.6 ± 0.3 × 106; P = 0.03) Figure 3C, D. To further confirm the deficiency in cytokine production, we performed ELISA on the supernatant of these stimulated T-cells and found a significant reduction in the concentration of IFN-γ (uninjured: 123 ± 4 ng/ml; chronic SCI: 103 ± 5 ng/ml; P = 0.005) and TNF-α (uninjured: 0.33 ± 0.02 ng/ml; chronic SCI: 0.25 ± 0.01 ng/ml; P = 0.004) (Figure 3E).
Since stimulation with anti-CD3/anti-CD28 in presence of IL-2 induces proliferation of T-cells, we also evaluated the proliferative capabilities of these cells isolated from chronically injured mice using CFSE (Figure 4A, B). We did not find any significant difference in the ability of either CD4+ T-cells or CD8+ T-cells to proliferate compared to CT mice.
Collectively, we showed that both CD4+and CD8+ T-cells isolated from chronic SCI mice have defects in cytokine production, which may contribute to the chronic SCI induced immunodeficiency.
Increased expression of exhaustion marker PD-1 on T-cells isolated from chronic SCI mice
T-cell exhaustion indicated by increased expression of exhaustion markers such as PD-1, cytotoxic T-lymphocyte antigen 4 (CTLA-4), T-cell immunoglobulin mucin-3 (TIM-3) and lymphocyte activation gene-3 (LAG-3) was shown to correlate with T-cell dysfunction in chronic viral infection models and aging animals [23, 25, 29, 37–40]. To examine whether the T-cell impairment in cytokine production observed in chronic SCI mice was associated with T-cell exhaustion, we measured the expression of exhaustion markers on both CD4+ T-cells and CD8+ T-cells. The percentage of PD-1 expressing cells in both CD4+ T-cells and CD8+ T-cells was significantly higher in the spleen of chronic SCI mice compared with uninjured controls (CD4+PD1+ T-cells: uninjured: 12.9 ± 1.3%; chronic SCI: 18.0 ± 1.7%; P = 0.02. CD8+PD1+ T-cells: uninjured: 3.4 ± 0.2%; chronic SCI: 5.0 ± 0.4%; P = 0.003) (Figure 5A). The number of splenic CD8+PD-1+ cells was also significantly increased in the chronic SCI mice (uninjured: 0.43 ± 0.05 × 106; chronic SCI: 0.59 ± 0.04 × 106; P = 0.01) (Figure 5B). However, the number of splenic CD4+PD-1+ cells was not significantly changed by chronic SCI (uninjured: 1.9 ± 0.4 × 106; chronic SCI: 2.7 ± 0.3 × 106; P = 0.07) (Figure 5B). The expression of other exhaustion markers including CTLA-4, TIM-3 and LAG-3 on T-cells was not increased by chronic SCI (data not shown).
Increased expression of PD1 ligand on B-cells and macrophages isolated from chronic SCI mice
We sought to determine whether the ligand for PD-1 receptor (PD-L1) was up-regulated following chronic SCI, as engagement of PD-1 ligand with PD-1 induces T-cell exhaustion signaling. We measured the expression of PD-L1 on B-cells, macrophages and dendritic cells. Compared with CT group, the mean fluorescence intensity (MFI) values for PD-L1 were significantly increased on splenic B-cells (uninjured: 1,169 ± 38; chronic SCI: 1,451 ± 54; P = 0.003) and macrophages (uninjured: 1213 ± 34; chronic SCI: 2061 ± 270; P = 0.03) from the chronic SCI group (Figure 6A, B). However, PD-L1 expression on dendritic cells was similar between CT and SCI groups (uninjured: 3,074 ± 241; chronic SCI: 3,468 ± 202; P = 0.13) (Figure 6A, B).
Blocking PD-1 restores cytokine production by CD8+T-cells
We next asked whether inhibiting PD-1 signaling will restore the functional defects in cytokine production observed in the splenic T-cells isolated from chronic SCI mice. Splenocytes from uninjured mice and chronic SCI mice were stimulated with PMA/ionomycin in the presence of either anti-PD-1 or an isotype control antibody. Compared with splenocytes from uninjured mice, the splenocytes from chronic SCI mice showed a significant reduction in the percentage of IFN-γ-expressing CD4+ T-cells (uninjured: 7.0 ± 0.8%; chronic SCI + Isotype: 5.1 ± 0.6%; P = 0.04) (Figure 7A, B) and TNF-α-expressing CD8+ T-cells (uninjured: 6.9 ± 0.9%; chronic SCI + Isotype: 4.2 ± 0.6%; P = 0.009) (Figure 7C, D) after PMA/ionomycin restimulation in presence of isotype control antibodies. Blocking PD-1 restored the percentage of CD8+ T-cells expressing TNF-α (chronic SCI + anti-PD-1: 8.6 ± 1.6%; P = 0.01) (Figure 7C, D). However, IFN-γ production by CD4+ T-cells from chronic SCI mice was not restored (chronic SCI + anti-PD-1: 5.4 ± 1.0%; P = 0.43) (Figure 7A, B).
Chronic SCI increases PD-1 expression by altering sympathetic activity
To understand how chronic SCI induces T-cell exhaustion, we investigated whether the activity of the sympathetic nervous system is altered by SCI. As a surrogate marker of SNS activity we measured the protein expression level of tyrosine hydroxylase (TH), the rate-limiting enzyme for catecholamine (CA) synthesis, in the spleen extract from both control and SCI mice. Compared to uninjured control, TH expression levels in the spleen of injured mice was significantly elevated (Figure 8A) and consistent with significantly higher NE concentrations in the spleen of those injured mice (uninjured: 0.26 ± 0.03 ng NE/mg spleen; chronic SCI: 0.38 ± 0.05 ng NE/mg spleen, P = 0.04) (Figure 8B). These results led us to hypothesize that higher sustained splenic NE levels in injured mice may contribute to T-cell exhaustion. To test this hypothesis, we sought to incubate enriched T-cells from naive mice with 10 μM NE over several days and assess whether these cells up-regulated PD-1. Since prolong exposure to NE could be toxic to the cells, we first determined cell viability. Naïve enriched T-cells were incubated either with NE or vehicle for one, two and three days and cell viability was measured by flow cytometry using 7-AAD. As shown in Figure 9, after three days in culture with NE, T-cell viability was very low, as reflected by a low percentage of 7-AAD− live cells (Vehicle: 83.7 ± 3.1%; NE: 11.1 ± 7.7%; P = 0.0009) (Figure 9A, B). Therefore, we determined the number of PD-1 expressing T-cell following one and two days of NE stimulation. As shown in Figure 9C-F, one day of NE stimulation significantly increased PD-1+CD8+ T-cell number compared to vehicle-treated cells (Vehicle: 565 ± 46; NE: 985 ± 75; P = 0.004), when the cell numbers of both CD4+PD-1+ T-cells (Vehicle: 5,283 ± 439; NE: 6,747 ± 135; P = 0.02) and CD8+PD-1+ T-cells (Vehicle: 747 ± 72; NE: 1,031 ± 94; P = 0.04) were upregulated after two days of continuous NE stimulation.
We next determined whether NE stimulation resulted in defective cytokine production in the enriched T-cells. Enriched T-cells were incubated for two days with NE prior to adding PMA/ionomycin and intracellular cytokine profile of these cells was characterized after 4 hours of stimulation. Compared with vehicle control, NE stimulation significantly reduced both IFN-γ (Vehicle: 4.9 ± 0.3%; NE: 3.5 ± 0.4%; P = 0.02) and TNF-α production (Vehicle: 3.5 ± 0.3%; NE: 1.1 ± 0.1%; P = 0.001) of CD4+ T-cells (Figure 10A, B), as well TNF-α production (Vehicle: 6.4 ± 0.4%; NE: 3.7 ± 0.7%; P = 0.01) in CD8+ T-cells (Figure 10C, D), These data strongly suggest that sustained elevated levels of splenic NE following chronic SCI could induce T-cell exhaustion and dysfunction of cytokine production.
In the present work, we assessed the impact of chronic SCI on the peripheral immune system and explored the mechanisms by which traumatic injury to the spinal cord induces T-cell dysfunction. Using a severe spinal cord contusion model at thoracic level T9, we demonstrate that although there was no change in splenic T-cell numbers after five weeks following injury, their function was significantly altered as assessed by ex vivo stimulation with PMA/ionomycin or with anti-CD3/anti-CD28 stimulation. IFN-γ production by CD4+ T-cells and TNF-α production by CD8+ T-cells in response to PMA/ionomycin stimulation were significantly reduced in the cells isolated from chronically spinal cord injured mice. Chronic SCI impaired the IFN-γ and TNF-α production of both CD4+ and CD8+ T-cells following anti-CD3/anti-CD28 stimulation. We provide evidence that T-cell exhaustion contributes to SCI-induced T-cell dysfunction. T-cell expression levels of exhaustion marker PD-1 was significantly increased by chronic SCI, while in vitro blockade of PD-1 restored CD8+ T-cell function. To our knowledge, this is the first report showing that chronic SCI alters T-cell function and increases T-cell exhaustion. Furthermore, the activity of SNS in the spleen is higher in injured mice. Long-term in vitro exposure to NE increased PD-1 expressing T-cells and impaired T-cell function of cytokine production. This finding suggests that alterations in the SNS output is involved in the mechanism by which chronic SCI induces T-cell exhaustion, and highlights the importance of the SNS in the regulation of T-cell function.
Previous studies in SCI animal models have characterized changes in the peripheral immune system occurring in the acute phase. T-cell loss in the spleen was reported at one to three days after injury [31, 32]. Increased level of glucocorticoids and NE at acute phase after SCI induces lymphocyte apoptosis and results in T-cell decrease . However, no significant reduction in the T-cell number was observed at later time points such as day 7, day 14 and day 28 post-injury [16, 31]. Consistent with those studies, we did not find any significant difference in the number of either CD4+ or CD8+ T-cell between uninjured and chronic SCI mice (> five weeks post-injury). These results indicate that the temporary T-cell loss in the acute phase after SCI does not persist in the chronic phase. Therefore the SCI-induce immune depression in the chronic phase is more likely due to functional defects of immune cells rather than their number.
T-cells regulate host immunity against pathogen infection by secreting cytokines upon activation . We first used ex vivo PMA/ionomycin stimulation to investigate the effect of chronic SCI on T-cell cytokine production. In this study, chronic SCI mice showed a reduction in IFN-γ production by CD4+ T-cells as well as TNF-α production by CD8+ T-cells. We also measured the T-cell production upon stimulation with anti-CD3/anti-CD28, which is more relevant to physiological T-cell receptor activation in vivo. We demonstrated that the cytokine production by both CD4+ T-cells and CD8+ T-cells are impaired. These defects could be associated with SCI-induced immune depression. IFN-γ is a crucial modulator in multiple immune responses, including macrophage activation, major histocompatibility complex (MHC) I and MHC II antigen presentation up-regulation, lymphocyte recruitment, CD4+ T-helper response and inhibition of viral replication. The deregulation of IFN-γ production may contribute to the impaired capacity to combat infection in chronic SCI patients . TNF-α plays a key role in both host inflammatory and cytotoxic responses against pathogens . Specifically, during viral infection, TNF-α produced by cytotoxic T-cells is responsible for apoptosis and lysis of virus-infected cells [34, 35]. Therefore, insufficient TNF-α production by T-cells is a potential cause of SCI-induced immunodeficiency. Interestingly, some studies have suggested a role for TNF-α in forming the germinal center and generating humoral responses [43–45]. Alteration in TNF-α production by T-cell in injured mice may contribute to their defects in mounting an appropriate antibody response.
T-cell exhaustion has been well studied in the last decade for its role in T-cell dysfunction and immunodeficiency. It was first described in a lymphocytic choriomeningitis virus (LCMV) chronic infection mouse model as a virus-specific CD8+ T-cell population which cannot elaborate efficient antiviral effectors’ function . Since then, T-cell exhaustion has been investigated in many chronic viral infections including human immunodeficiency virus (HIV), hepatitis B virus and hepatitis C virus, and cancer as well as aging models [18–23, 25, 46]. To our knowledge, our study is the first to show T-cell exhaustion in a SCI model. Previous studies have demonstrated a correlation between higher PD-1 expression and reduced cytokine production in CD8+ T-cells [18, 24, 26]. Herein, we showed that chronic SCI mice have a significantly higher number of CD8+ T-cells expressing PD-1 along with increased expression of PD-L1, the ligand for PD-1, on B-cells and macrophages. Moreover, the production of TNF-α by CD8+ T-cells was restored in vitro by blocking PD-1 signaling. These results suggest that higher PD-1 expression contributes to SCI-induced CD8+ T-cell dysfunction. However, the number of CD4+ T-cells expressing PD-1 was not significantly up-regulated by chronic SCI and blocking PD-1 failed to restore IFN-γ production by CD4+ T-cells suggesting that other mechanisms are involved in SCI-induced CD4+ T-cell dysfunction.
We next explored how chronic SCI increases PD-1 expression on CD8+ T-cells. Since the spleen is innervated and modulated by the SNS, disruption of the sympathetic preganglionic neurons at the injury level may lead to altered SNS output to the spleen. Post-acute phase SCI causes reorganization of synapses on the sympathetic preganglionic neurons and reinnervation of the sympathetic terminals at the target organs [47–49]. Our results showed higher levels of TH in the splenic protein extract from injured animals compared to uninjured controls. As the rate-limiting enzyme for catecholamine synthesis, TH has been used to identify catecholamine containing noradrenergic terminals in the spleen [50, 51]. Elevated TH levels in the spleen of chronic SCI mice correlated with higher splenic NE levels. These data could be explained by increased sympathetic innervation, higher catecholamine levels per cell or more endogenous catecholamine produced by lymphocytes in the spleen [52, 53]. NE has been reported to regulate the functions of immune cells . Particularly, experimental induction of autonomic dysreflexia in chronic SCI mice causes splenic NE accumulation, which is involved in the impaired immune function . We hypothesized that higher NE levels in the spleen following chronic SCI were responsible for the increased T-cell exhaustion. Consistent with this hypothesis, we found that the number of PD-1 expressing T-cells was increased after prolonged exposure to NE in vitro. While it is unclear how NE regulates PD-1 expression, several transcription factor pathways have been demonstrated to play a role in regulating T-cell exhaustion. Specifically, B-lymphocyte-induced maturation protein 1 (Blimp-1), nuclear factor of activated T-cells cytoplasmic 1 (NFATc1) and Notch signaling are regulators of PD-1 gene expression, whereas high expression of T-bet suppresses PD-1 expression [54–57]. There is no direct evidence that NE regulates these transcription pathways in murine splenic T-cells. However, NE was reported to increase NFATc1 activity in primary neonatal cardiomyocyte culture , suggesting that NE stimulation may up-regulate PD-1 expression by activating NFATc1. Interestingly, NE stimulation of T-lineage cells increases the phosphorylation of phosphor 38 mitogen-activated protein kinase (p38 MAPK), which is involved in the mechanisms by which HIV-1 Nef protein induces PD-1 expression [59, 60]. The activation of the p38 MAPK pathway may also contribute to the higher PD-1 expression in our model. Prolonged NE exposure resulted in decreased T-cell cytokine production. Consistent with our findings, several research groups have found that activation of β2 adrenergic receptor inhibits IFN-γ production in T-cells [61, 62]. As NE can affect T-cell function by multiple mechanisms, such as increased intracellular cAMP levels , we suggest that higher expression of exhaustion marker PD-1 on CD8+ T-cells participates in the mechanisms of NE-induced T-cell dysfunction.
In conclusion, we demonstrated that chronic SCI impaired both CD4+ and CD8+ T-cell functions. Furthermore, we identified T-cell exhaustion as a possible mechanism by which chronic SCI leads to impaired CD8+ T-cell function. Alterations in the SNS contributed to the exhausted phenotype of CD8+ T-cells from injured mice. These findings highlight the role of the nervous system and neurotransmitters in regulating peripheral immunity. Our study also sheds light on the development of therapeutic strategies to reduce re-hospitalization and death rate from infection in chronic SCI patients. For example, clinical trials using antagonist antibodies to PD-1 are now ongoing for cancer treatment . Our research provides evidence for the clinical application of PD-1 antibodies in SCI-induced immune depression treatment. In addition, adrenergic receptor antagonists, which have been widely used in cardiovascular diseases, constitute also a potential treatment to restore immunity in chronic SCI patients.
bovine serum albumin
carboxyfluorescein diacetate succinimidyl ester
cytotoxic T-lymphocyte antigen 4
enzyme-linked immunosorbent assay
fetal bovine serum
Hank’s Balanced Salt Solution
human immunodeficiency virus
lymphocyte activation gene-3
mean fluorescence intensity
major histocompatibility complex
nuclear factor of activated T-cells cytoplasmic 1
- p38 MAPK:
phosphor 38 mitogen-activated protein kinase
programmed cell death-1
phorbol myristate acetate
sodium dodecyl sulfate polyacrylamide gel electrophores
standard error of the mean
spinal cord injury
sympathetic nervous system
thoracic level 9
Tris-buffered saline with Tween-20
T-cell immunoglobulin mucin-3
tumor necrosis factor.
Hitzig SL, Eng JJ, Miller WC, Sakakibara BM: An evidence-based review of aging of the body systems following spinal cord injury. Spinal Cord. 2011, 49: 684-701. 10.1038/sc.2010.178.
DeVivo MJ, Black KJ, Stover SL: Causes of death during the first 12 years after spinal cord injury. Arch Phys Med Rehabil. 1993, 74: 248-254.
Soden RJ, Walsh J, Middleton JW, Craven ML, Rutkowski SB, Yeo JD: Causes of death after spinal cord injury. Spinal Cord. 2000, 38: 604-610. 10.1038/sj.sc.3101080.
Lidal IB, Snekkevik H, Aamodt G, Hjeltnes N, Biering-Sorensen F, Stanghelle JK: Mortality after spinal cord injury in Norway. J Rehabil Med. 2007, 39: 145-151. 10.2340/16501977-0017.
Godkin MA, Rice CA: Psychosocial stress and its relationship to illness behavior and illnesses encountered commonly by family practitioners. Soc Sci Med E. 1981, 15: 155-159.
Meisel C, Schwab JM, Prass K, Meisel A, Dirnagl U: Central nervous system injury-induced immune deficiency syndrome. Nat Rev Neurosci. 2005, 6: 775-786.
Kawli T, He F, Tan MW: It takes nerves to fight infections: insights on neuro-immune interactions from C. elegans. Dis Model Mech. 2010, 3: 721-731. 10.1242/dmm.003871.
Wrona D: Neural-immune interactions: an integrative view of the bidirectional relationship between the brain and immune systems. J Neuroimmunol. 2006, 172: 38-58. 10.1016/j.jneuroim.2005.10.017.
Elenkov IJ, Wilder RL, Chrousos GP, Vizi ES: The sympathetic nerve–an integrative interface between two supersystems: the brain and the immune system. Pharmacol Rev. 2000, 52: 595-638.
Nance DM, Sanders VM: Autonomic innervation and regulation of the immune system (1987–2007). Brain Behav Immun. 2007, 21: 736-745. 10.1016/j.bbi.2007.03.008.
Cano G, Sved AF, Rinaman L, Rabin BS, Card JP: Characterization of the central nervous system innervation of the rat spleen using viral transneuronal tracing. J Comp Neurol. 2001, 439: 1-18. 10.1002/cne.1331.
Ibarra A, Jimenez A, Cortes C, Correa D: Influence of the intensity, level and phase of spinal cord injury on the proliferation of T cells and T-cell-dependent antibody reactions in rats. Spinal Cord. 2007, 45: 380-386.
Oropallo MA, Held KS, Goenka R, Ahmad SA, O’Neill PJ, Steward O, Lane TE, Cancro MP: Chronic spinal cord injury impairs primary antibody responses but spares existing humoral immunity in mice. J Immunol. 2012, 188: 5257-5266. 10.4049/jimmunol.1101934.
Zhang Y, Guan Z, Reader B, Shawler T, Mandrekar-Colucci S, Huang K, Weil Z, Bratasz A, Wells J, Powell ND, Sheridan JF, Whitacre CC, Rabchevsky AG, Nash MS, Popovich PG: Autonomic dysreflexia causes chronic immune suppression after spinal cord injury. J Neurosci. 2013, 33: 12970-12981. 10.1523/JNEUROSCI.1974-13.2013.
Damjanovic D, Small CL, Jeyanathan M, McCormick S, Xing Z: Immunopathology in influenza virus infection: uncoupling the friend from foe. Clin Immunol. 2012, 144: 57-69. 10.1016/j.clim.2012.05.005.
Held KS, Steward O, Blanc C, Lane TE: Impaired immune responses following spinal cord injury lead to reduced ability to control viral infection. Exp Neurol. 2010, 226: 242-253. 10.1016/j.expneurol.2010.08.036.
Zajac AJ, Blattman JN, Murali-Krishna K, Sourdive DJ, Suresh M, Altman JD, Ahmed R: Viral immune evasion due to persistence of activated T cells without effector function. J Exp Med. 1998, 188: 2205-2213. 10.1084/jem.188.12.2205.
Trautmann L, Janbazian L, Chomont N, Said EA, Gimmig S, Bessette B, Boulassel MR, Delwart E, Sepulveda H, Balderas RS, Routy JP, Haddad EK, Sekaly RP: Up regulation of PD-1 expression on HIV-specific CD8+ T cells leads to reversible immune dysfunction. Nat Med. 2006, 12: 1198-1202. 10.1038/nm1482.
Radziewicz H, Ibegbu CC, Fernandez ML, Workowski KA, Obideen K, Wehbi M, Hanson HL, Steinberg JP, Masopust D, Wherry EJ, Altman JD, Rouse BT, Freeman GJ, Ahmed R, Grakoui A: Liver-infiltrating lymphocytes in chronic human hepatitis C virus infection display an exhausted phenotype with high levels of PD-1 and low levels of CD127 expression. J Virol. 2007, 81: 2545-2553. 10.1128/JVI.02021-06.
Tzeng HT, Tsai HF, Liao HJ, Lin YJ, Chen L, Chen PJ, Hsu PN: PD-1 blockage reverses immune dysfunction and hepatitis B viral persistence in a mouse animal model. PLoS One. 2012, 7: e39179-10.1371/journal.pone.0039179.
Topalian SL, Drake CG, Pardoll DM: Targeting the PD-1/B7-H1(PD-L1) pathway to activate anti-tumor immunity. Curr Opin Immunol. 2012, 24: 207-212. 10.1016/j.coi.2011.12.009.
Channappanavar R, Twardy BS, Krishna P, Suvas S: Advancing age leads to predominance of inhibitory receptor expressing CD4 T cells. Mech Ageing Dev. 2009, 130: 709-712. 10.1016/j.mad.2009.08.006.
Lages CS, Lewkowich I, Sproles A, Wills-Karp M, Chougnet C: Partial restoration of T-cell function in aged mice by in vitro blockade of the PD-1/PD-L1 pathway. Aging Cell. 2010, 9: 785-798. 10.1111/j.1474-9726.2010.00611.x.
Barber DL, Wherry EJ, Masopust D, Zhu B, Allison JP, Sharpe AH, Freeman GJ, Ahmed R: Restoring function in exhausted CD8 T cells during chronic viral infection. Nature. 2006, 439: 682-687. 10.1038/nature04444.
Nakamoto N, Cho H, Shaked A, Olthoff K, Valiga ME, Kaminski M, Gostick E, Price DA, Freeman GJ, Wherry EJ, Chang KM: Synergistic reversal of intrahepatic HCV-specific CD8 T cell exhaustion by combined PD-1/CTLA-4 blockade. PLoS Pathog. 2009, 5: e1000313-10.1371/journal.ppat.1000313.
Penna A, Pilli M, Zerbini A, Orlandini A, Mezzadri S, Sacchelli L, Missale G, Ferrari C: Dysfunction and functional restoration of HCV-specific CD8 responses in chronic hepatitis C virus infection. Hepatology. 2007, 45: 588-601. 10.1002/hep.21541.
Goding SR, Wilson KA, Xie Y, Harris KM, Baxi A, Akpinarli A, Fulton A, Tamada K, Strome SE, Antony PA: Restoring immune function of tumor-specific CD4+ T cells during recurrence of melanoma. J Immunol. 2013, 190: 4899-4909. 10.4049/jimmunol.1300271.
Yamamoto R, Nishikori M, Kitawaki T, Sakai T, Hishizawa M, Tashima M, Kondo T, Ohmori K, Kurata M, Hayashi T, Uchiyama T: PD-1-PD-1 ligand interaction contributes to immunosuppressive microenvironment of Hodgkin lymphoma. Blood. 2008, 111: 3220-3224. 10.1182/blood-2007-05-085159.
Wherry EJ: T cell exhaustion. Nat Immunol. 2011, 12: 492-499.
Popovich PG, Stuckman S, Gienapp IE, Whitacre CC: Alterations in immune cell phenotype and function after experimental spinal cord injury. J Neurotrauma. 2001, 18: 957-966. 10.1089/089771501750451866.
Riegger T, Conrad S, Liu K, Schluesener HJ, Adibzahdeh M, Schwab JM: Spinal cord injury-induced immune depression syndrome (SCI-IDS). Eur J Neurosci. 2007, 25: 1743-1747. 10.1111/j.1460-9568.2007.05447.x.
Lucin KM, Sanders VM, Jones TB, Malarkey WB, Popovich PG: Impaired antibody synthesis after spinal cord injury is level dependent and is due to sympathetic nervous system dysregulation. Exp Neurol. 2007, 207: 75-84. 10.1016/j.expneurol.2007.05.019.
Schoenborn JR, Wilson CB: Regulation of interferon-gamma during innate and adaptive immune responses. Adv Immunol. 2007, 96: 41-101.
Chavez-Galan L, Arenas-Del Angel MC, Zenteno E, Chavez R, Lascurain R: Cell death mechanisms induced by cytotoxic lymphocytes. Cell Mol Immunol. 2009, 6: 15-25. 10.1038/cmi.2009.3.
Kuwano K, Kawashima T, Arai S: Antiviral effect of TNF-alpha and IFN-gamma secreted from a CD8+ influenza virus-specific CTL clone. Viral Immunol. 1993, 6: 1-11. 10.1089/vim.1993.6.1.
Slifka MK, Whitton JL: Antigen-specific regulation of T cell-mediated cytokine production. Immunity. 2000, 12: 451-457. 10.1016/S1074-7613(00)80197-1.
Blackburn SD, Shin H, Haining WN, Zou T, Workman CJ, Polley A, Betts MR, Freeman GJ, Vignali DA, Wherry EJ: Coregulation of CD8+ T cell exhaustion by multiple inhibitory receptors during chronic viral infection. Nat Immunol. 2009, 10: 29-37. 10.1038/ni.1679.
Day CL, Kaufmann DE, Kiepiela P, Brown JA, Moodley ES, Reddy S, Mackey EW, Miller JD, Leslie AJ, DePierres C, Mncube Z, Duraiswamy J, Zhu B, Eichbaum Q, Altfeld M, Wherry EJ, Coovadia HM, Goulder PJ, Klenerman P, Ahmed R, Freeman GJ, Walker BD: PD-1 expression on HIV-specific T cells is associated with T-cell exhaustion and disease progression. Nature. 2006, 443: 350-354. 10.1038/nature05115.
Jin HT, Anderson AC, Tan WG, West EE, Ha SJ, Araki K, Freeman GJ, Kuchroo VK, Ahmed R: Cooperation of Tim-3 and PD-1 in CD8 T-cell exhaustion during chronic viral infection. Proc Natl Acad Sci U S A. 2010, 107: 14733-14738. 10.1073/pnas.1009731107.
Urbani S, Amadei B, Tola D, Massari M, Schivazappa S, Missale G, Ferrari C: PD-1 expression in acute hepatitis C virus (HCV) infection is associated with HCV-specific CD8 exhaustion. J Virol. 2006, 80: 11398-11403. 10.1128/JVI.01177-06.
Lucin KM, Sanders VM, Popovich PG: Stress hormones collaborate to induce lymphocyte apoptosis after high level spinal cord injury. J Neurochem. 2009, 110: 1409-1421. 10.1111/j.1471-4159.2009.06232.x.
Bradley JR: TNF-mediated inflammatory disease. J Pathol. 2008, 214: 149-160. 10.1002/path.2287.
Pasparakis M, Alexopoulou L, Episkopou V, Kollias G: Immune and inflammatory responses in TNF alpha-deficient mice: a critical requirement for TNF alpha in the formation of primary B cell follicles, follicular dendritic cell networks and germinal centers, and in the maturation of the humoral immune response. J Exp Med. 1996, 184: 1397-1411. 10.1084/jem.184.4.1397.
Marino MW, Dunn A, Grail D, Inglese M, Noguchi Y, Richards E, Jungbluth A, Wada H, Moore M, Williamson B, Basu S, Old LJ: Characterization of tumor necrosis factor-deficient mice. Proc Natl Acad Sci U S A. 1997, 94: 8093-8098. 10.1073/pnas.94.15.8093.
Gelinck LB, van der Bijl AE, Beyer WE, Visser LG, Huizinga TW, van Hogezand RA, Rimmelzwaan GF, Kroon FP: The effect of anti-tumour necrosis factor alpha treatment on the antibody response to influenza vaccination. Ann Rheum Dis. 2008, 67: 713-716.
Streeck H, Brumme ZL, Anastario M, Cohen KW, Jolin JS, Meier A, Brumme CJ, Rosenberg ES, Alter G, Allen TM, Walker BD, Altfeld M: Antigen load and viral sequence diversification determine the functional profile of HIV-1-specific CD8+ T cells. PLoS Med. 2008, 5: e100-10.1371/journal.pmed.0050100.
Weaver LC, Cassam AK, Krassioukov AV, Llewellyn-Smith IJ: Changes in immunoreactivity for growth associated protein-43 suggest reorganization of synapses on spinal sympathetic neurons after cord transection. Neuroscience. 1997, 81: 535-551. 10.1016/S0306-4522(97)00151-6.
Llewellyn-Smith IJ, Weaver LC: Changes in synaptic inputs to sympathetic preganglionic neurons after spinal cord injury. J Comp Neurol. 2001, 435: 226-240. 10.1002/cne.1204.
Lujan HL, Palani G, DiCarlo SE: Structural neuroplasticity following T5 spinal cord transection: increased cardiac sympathetic innervation density and SPN arborization. Am J Physiol Regul Integr Comp Physiol. 2010, 299: R985-R995. 10.1152/ajpregu.00329.2010.
Madden KS, Bellinger DL, Felten SY, Snyder E, Maida ME, Felten DL: Alterations in sympathetic innervation of thymus and spleen in aged mice. Mech Ageing Dev. 1997, 94: 165-175. 10.1016/S0047-6374(96)01858-1.
Felten SY, Olschowka J: Noradrenergic sympathetic innervation of the spleen: II. Tyrosine hydroxylase (TH)-positive nerve terminals form synapticlike contacts on lymphocytes in the splenic white pulp. J Neurosci Res. 1987, 18: 37-48. 10.1002/jnr.490180108.
Qiu YH, Peng YP, Jiang JM, Wang JJ: Expression of tyrosine hydroxylase in lymphocytes and effect of endogenous catecholamines on lymphocyte function. Neuroimmunomodulation. 2004, 11: 75-83. 10.1159/000075316.
Laukova M, Vargovic P, Vlcek M, Lejavova K, Hudecova S, Krizanova O, Kvetnansky R: Catecholamine production is differently regulated in splenic T- and B-cells following stress exposure. Immunobiology. 2013, 218: 780-789. 10.1016/j.imbio.2012.08.279.
Shin H, Blackburn SD, Intlekofer AM, Kao C, Angelosanto JM, Reiner SL, Wherry EJ: A role for the transcriptional repressor Blimp-1 in CD8(+) T cell exhaustion during chronic viral infection. Immunity. 2009, 31: 309-320. 10.1016/j.immuni.2009.06.019.
Oestreich KJ, Yoon H, Ahmed R, Boss JM: NFATc1 regulates PD-1 expression upon T cell activation. J Immunol. 2008, 181: 4832-4839.
Mathieu M, Cotta-Grand N, Daudelin JF, Thebault P, Labrecque N: Notch signaling regulates PD-1 expression during CD8(+) T-cell activation. Immunol Cell Biol. 2013, 91: 82-88. 10.1038/icb.2012.53.
Kao C, Oestreich KJ, Paley MA, Crawford A, Angelosanto JM, Ali MA, Intlekofer AM, Boss JM, Reiner SL, Weinmann AS, Wherry EJ: Transcription factor T-bet represses expression of the inhibitory receptor PD-1 and sustains virus-specific CD8+ T cell responses during chronic infection. Nat Immunol. 2011, 12: 663-671. 10.1038/ni.2046.
Lunde IG, Kvaloy H, Austbo B, Christensen G, Carlson CR: Angiotensin II and norepinephrine activate specific calcineurin-dependent NFAT transcription factor isoforms in cardiomyocytes. J Appl Physiol. 2011, 111: 1278-1289. 10.1152/japplphysiol.01383.2010.
Lajevic MD, Suleiman S, Cohen RL, Chambers DA: Activation of p38 mitogen-activated protein kinase by norepinephrine in T-lineage cells. Immunology. 2011, 132: 197-208. 10.1111/j.1365-2567.2010.03354.x.
Muthumani K, Choo AY, Shedlock DJ, Laddy DJ, Sundaram SG, Hirao L, Wu L, Thieu KP, Chung CW, Lankaraman KM, Tebas P, Silvestri G, Weiner DB: Human immunodeficiency virus type 1 Nef induces programmed death 1 expression through a p38 mitogen-activated protein kinase-dependent mechanism. J Virol. 2008, 82: 11536-11544. 10.1128/JVI.00485-08.
Paul-Eugene N, Kolb JP, Calenda A, Gordon J, Kikutani H, Kishimoto T, Mencia-Huerta JM, Braquet P, Dugas B: Functional interaction between beta 2-adrenoceptor agonists and interleukin-4 in the regulation of CD23 expression and release and IgE production in human. Mol Immunol. 1993, 30: 157-164. 10.1016/0161-5890(93)90087-R.
Sanders VM, Baker RA, Ramer-Quinn DS, Kasprowicz DJ, Fuchs BA, Street NE: Differential expression of the beta2-adrenergic receptor by Th1 and Th2 clones: implications for cytokine production and B cell help. J Immunol. 1997, 158: 4200-4210.
Van der Pouw-Kraan T, Van Kooten C, Rensink I, Aarden L: Interleukin (IL)-4 production by human T cells: differential regulation of IL-4 vs. IL-2 production. Eur J Immunol. 1992, 22: 1237-1241. 10.1002/eji.1830220519.
Sznol M, Chen L: Antagonist antibodies to PD-1 and B7-H1 (PD-L1) in the treatment of advanced human cancer. Clin Cancer Res. 2013, 19: 1021-1034. 10.1158/1078-0432.CCR-12-2063.
This work was supported by National Institutes of Health Grants NS051709-06(JRB). We would like to thank the Miami Project to Cure Paralysis and Flow Cytometry Core Facility at Sylvester at University of Miami for the technical assistance.
The authors declare that they have no competing interests.
JZ participated in the study design, performed the experiments, analyzed the data and wrote the manuscript. AS and SA performed the T-cell proliferation assay and analyzed the data. VBR participated in the study design and the animal experiments, performed Western blot experiments and wrote the manuscript. JRB conceived the study and helped draft the manuscript. All authors read and approved the final manuscript.
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Additional file 1: Gating strategy and isotype controls for the identification of CD4 + T-cells and CD8 + T-cells. Total cells were gated based on forward scatter (FSC) and side scatter (SSC). Doublets were excluded using FSC width versus area, followed by SSC width versus area. T-cells were gated as CD45+CD3+ cells. CD4+ T-cells and CD8+ T-cells were gated based on the expression of CD4 and CD8 with their isotype controls. (TIFF 331 KB)
Additional file 2: Gating strategy and isotype controls for the identification of cytokine producing T-cells. Total cells were gated based on forward scatter (FSC) and side scatter (SSC). Doublets were excluded using FSC width versus area, followed by SSC width versus area. CD4+ T-cells and CD8+ T-cells were gated based on the expression of CD4 and CD8. The expression of IFN-γ and TNF-α on CD4+ T-cells and CD8+ T-cells was gated using their isotype controls. (TIFF 858 KB)
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Zha, J., Smith, A., Andreansky, S. et al. Chronic thoracic spinal cord injury impairs CD8+ T-cell function by up-regulating programmed cell death-1 expression. J Neuroinflammation 11, 65 (2014). https://doi.org/10.1186/1742-2094-11-65
- Spinal cord injury
- T-cell exhaustion