Introduction
Susceptibility to nosocomial infections, mainly pneumonia [
1‐
3] after an acute brain injury (BI) [
4], is correlated with an acute immunodepression [
5‐
7]. Primary (stroke) or secondary cerebral ischemia following traumatic brain injury (TBI) or spontaneous sub-arachnoid hemorrhage (SAH) is a major factor of central nervous system injury-induced immunodepression. This systemic immunodepression may be explained through a sympathetic storm [
6,
8]. Using a mouse stroke model, Wong et al. reported that invariant natural killer T cells (iNKT) and catecholamines play a major role in the immunodepression [
9]. These authors observed that iNKT cells produced more anti-inflammatory cytokines (IL-10) after induction of BI, whereas their secretion of pro-inflammatory cytokines decreased (IFN-γ, IL-12). An efficient anti-infectious immunity could be restored when iNKT cells were specifically stimulated with their canonical ligand α-galactosylceramide (α-GalCer). Moreover, either blocking the catecholamine pathway with a specific antagonist (propranolol) or using iNKT-deficient mice prevented the switch of cytokines secretion from a T
h1 to a T
h2 profile and restored clearance of infection after stroke.
iNKT cells are T lymphocytes characterized by an invariant T cell receptor [
10]. T cell receptor (TCR) recognition is restricted by the monomorphic MHC class-I-like molecule CD1d that is expressed by antigen-presenting cells (APC) [
11]. In contrast to conventional T cells which recognize peptides, the iNKT TCR reacts to self or foreign lipid antigens (bacterial lipids) loaded on CD1d. Several subsets of iNKT cells have been described based on their expression of the CD4 or CD8 molecules. They can be CD4
+/CD8
−, CD4
−/CD8
+, or CD4
−/CD8
− [
12], the CD4+ subset likely representing less mature cells [
13,
14]. Activation of iNKT cells leads to a quick and massive release of both pro-inflammatory (T
h1) and anti-inflammatory (T
h2) cytokines, the CD4+ subset releasing both IL-4 and IFN-γ, while the CD4- subset releases IFN-γ preferentially [
13,
14]. iNKT cells are highly versatile cells that can contribute to various types of immune responses, including anti-microbial and anti-cancer responses, but also inflammatory and autoimmune diseases. The type of response to which they contribute is largely dependent upon the context and the APCs with which they interact. They are particularly efficient to drive the first stages of innate responses [
14].
We previously demonstrated that TBI and SAH displayed an immune dysfunction characterized by an attenuated granulomatous immune response ex vivo [
7]. We hypothesized that the iNKT cell compartment could also play a role in immunosuppression that follows TBI or SAH. We determined (1) the number and functions of iNKT and APC and (2) the correlation between iNKT activity and subsequent infection.
Materials and methods
Patients and healthy volunteers
This work is part of a global study on immune dysfunctions in ICU. An institutional review board for human experimentation approved the protocol (Comité de Protection des Personnes de Nantes, authorization number AC-2008-433/French). As patients were unable to consent, written informed consent from next of kin was required for enrollment. Whenever possible, retrospective consent was obtained from patients.
Intubated patients with either a severe head trauma (TBI) or a spontaneous subarachnoid hemorrhage (Glasgow coma scale < 13 and abnormal initial CT scan) were enrolled from January 2013 to November 2013 in two French surgical ICUs of one university hospital. Midazolam and fentanyl/sufentanil were the only drugs used when deep sedation was needed. Thiopental was used in case of refractory intracranial hypertension. Control samples were collected from healthy blood donors at the Blood Transfusion Center (Etablissement Français du Sang, Nantes, France) after obtaining informed consent. The exclusion criteria were aplasia, recent chemotherapy or immunosuppressive treatment, or corticosteroid treatment, primary immune deficiency.
Nosocomial pneumonia was defined as pneumonia occurring 48 h or more after admission and not incubating at the time of admission. Pneumonia was diagnosed according to international recommendations [
15], and all patients with pneumonia were treated with antibiotics. The 2 participating surgical ICUs routinely used the following strategy for VAP prevention: monitoring of the tracheal cuff pressure, semirecumbent positioning, and selective oropharyngeal antiseptic decontamination. The treatment was protocolized as previously described [
16], and neuro-ICU management was carried-out according to international guidelines [
17,
18]. Eighteen patients were diagnosed for early pneumonia (< 10 days [
3]), whereas the other 15 did not declare nosocomial infection. Pneumonia diagnosis was always confirmed by culture from lower respiratory tract samples obtained by endotracheal aspirate, by bronchoalveolar lavage, or with a blind-protected specimen catheter (significant threshold, 10
6 colony-forming units/mL, 10
4 colony-forming units/mL, 10
3 colony-forming units/mL, respectively).
Sample collection
Blood samples were collected after ICU admission within 24 h following BI. PBMCs were obtained by gradient centrifugation following standard protocol, and serum was isolated by centrifugation and stored in liquid nitrogen or at − 80 °C until investigation, respectively.
Flow cytometry
PBMCs and other cells were stained with anti-human mAbs: anti-CD3 FITC, anti-CD4 BV605, anti-CD8 BV421, anti-CD14 BV711, anti-CD19 BV605, anti-CD1d APC, anti-HLA-DR BV421, IFN-γ PE, and IL-4 PE (all from BD Biosciences, Vienna, Austria). APC-labeled human CD1d tetramers loaded with the α-GalCer analogue PBS-57 were obtained from the MHC Tetramer Core Facility (Emory University Vaccine Center, Atlanta, GA). Anti-human ADRB2 (AbD Serotec, Oxford, UK) was coupled with alexa fluor647 fluorochrome by using a protein labeling kit (Life Technologies, Paisley, UK). Viability was assessed with Zombie Nir viability dye (BioLegend, London, UK) or with fixable viability dye eFluor506 (eBiosciences, Vienna, Austria). The corresponding isotype control mAbs were used to assess staining specificity.
Generation of iNKT cells
iNKT cells were enriched from PBMCs by positive selection of Vα24-Jα18 cells by magnetic beads separation (MACS Miltenyi, Paris, France). Purified cells were cultured in RPMI 1640 supplemented with 10% heat-inactivated human pooled serum from 40 donors, 2 mM glutamine, 50 U/ml penicillin, 50 μg/ml streptomycin (Gibco BRL), PHA 1 μg/ml (Sigma-Aldrich, Schnelldorf, Austria), and IL-2 300 U/ml (PeproTech, USA) in the presence of irradiated allogenic PBMCs for 1 week. Purified iNKT cells were then maintained in culture in the same medium without PHA and irradiated feeder up to 3 months. Purity of iNKT cells was assessed by flow cytometry after staining the cells with mAbs specific for CD3 and with CD1d PBS57-loaded tetramers.
Cytokine secretion assays
PBMCs alone were cultured at cells density 1 × 106/ml in 96-well culture plates at 37 °C. Mitogenic stimulation of PBMCs was performed with IL-2 (200 U/ml) for 48 h. IFN-γ and IL-13 secretions in cell supernatants were then quantified by ELISA (eBioscience).
For iNKT-specific activation with α-GalCer, antigen-presenting cells (APC) were needed. PBMCs were plated at 300,000 per well on 96-well culture plates in complete RPMI containing healthy volunteers’ pooled sera and were loaded overnight at 37 °C with 0.1 μM α-GalCer (Sigma-Aldrich). Cells were then washed twice in RPMI alone and 50,000 iNKT cells were added. In both conditions, APCs and iNKT cells were co-incubated at 37 °C in complete RPMI containing pooled sera from healthy volunteers or pooled sera from BI patients, depending on experiments. Cytokine secretion in supernatants was quantified by ELISA (eBioscience) after 48-h stimulation, as previously described [
19].
Amplification of iNKT cells from PBMCs
PBMCs from human volunteers (HV) or from patients were cultured at cell density 1 × 106/ml in 24-well culture plates at 37 °C under mitogenic stimulation with IL-2 (300 UI/ml) and in the presence of α-GalCer (0.1 μM) for 10 days. Half of the medium was renewed every 3 days. At day 10, cytokine secretion was blocked with brefeldin A for 6 h, and then cells were collected to analyze intracellular cytokines by flow cytometry.
Statistical analysis
All statistical analyses were performed with Prism-6 software (GraphPad Software). Continuous nonparametric variables are expressed as medians (interquartile range). For 2 group comparisons, the Mann-Whitney U test was used. The one-way analysis of variance (ANOVA) test was used for comparisons of multiple groups. Dunnett’s multiple comparison test was used as a post hoc test for intergroup comparisons. Categorical data are expressed as numbers and percentages and tested with the chi-square test or Fisher’s test. Significance was defined as p < 0.05.
Discussion
Cerebral ischemia after severe TBI or SAH is frequent and is a major factor of central nervous system injury-induced immune deficiency syndrome [
5‐
7].
The specificity of BI as compared to other acute pathologies like septic shock relies on the central nervous system modulation of the immune system. This input is processed via 3 main pathways HPA axis and sympathetic and parasympathetic immune system. The sympathetic storm after BI is a well-known cause of systemic immunosuppression through the extensive sympathetic innervation of immune organs and the expression of adrenergic receptors on almost all leukocytes. The vagal “cholinergic pathway” displays anti-inflammatory effects through a direct effect of acetyl-choline on immune cells. The impairment of the adrenal axis is frequent and also induces a state of immunosuppression rendering the BI patient prone to secondary infections. These neuro-hormonal modifications may lead to a profound metabolic shift of immune cells through either a state of tolerance (risk of secondary infections) or trained immunity.
We found IL-10 in the serum of BI patients, but not in the serum from healthy volunteers. We additionally observed that the patients’ PBMCs presented a near complete loss of cytokine production after a mitogenic stimulation with IL-2. Interestingly, the effect was visible both for IFN-γ, a pro-inflammatory (T
h1) cytokine, and IL-13, an anti-inflammatory (T
h2) cytokine. These results are consistent with an early and deep alteration of the overall immune response. We next confirmed the strong downregulation of HLA-DR expression on patients’ monocytes [
23] and as previously described [
21], we additionally observed that this downregulation also existed in the B cell compartment. Overall, these data indicate that patients suffer from a systemic immunodepression.
Focusing on the iNKT compartment, we then unexpectedly observed a clear over-expression of CD1d both in monocytes and B cells. It was visible regardless of whether the patients would later develop pneumonia. This was the exact opposite of what was found for HLA-DR. CD1d is the non-classical MHC-I molecule involved in antigen presentation to iNKTs, suggesting a potential increased potency of patient’s APCs to activate iNKT cells in an antigen-dependent manner. Following specific activation of iNKT cells using PBMCs from patients or HV, a significant increase of cytokine secretion IFN-γ and IL-13 was observed, but only in BI patients that contracted pneumonia several days after BI. This indicates that the APCs of patients who are able to control infection possess other characteristics that modulate specific iNKT activity despite increased CD1d expression on their APCs. Interestingly, some suppressive cell subsets express high levels of CD1d such as monocytic myeloid-derived suppressor cells or regulatory B cells (Breg). In the latter case, it has been shown in mice that CD1d-lipid presentation by Breg cells induces secretion of IFN-γ by iNKT cells, thereby contributing to downregulation of Th1 and Th17 responses [
24,
25]. The increased CD1d expression observed in BI patients may therefore reflect an increased frequency of CD1d-expressing regulatory cells and an iNKT-dependent endogenous glycolipid presentation that would lead to an increase in regulatory cytokines secretion through subsets, such as Breg cells, specifically increased in patients who will develop pneumonia. Further studies will be needed to more precisely define the phenotype of cells that over-express CD1d in BI patients.
We then sought to analyze the fate of patients’ iNKT cells and observed a major decrease of their frequency in the periphery. An earlier study highlighted a decrease up to 40% of the major lymphocytes subsets 1 day after stroke [
26]. The near-complete disappearance of iNKT cells among PBMCs is a more important alteration in light of the relatively contained lymphopenia observed in our cohort. After expansion in the presence of the specific glycolipid α-GalCer, patients’ iNKT cells were able to produce IFN-γ that represents an iNKT activation marker. To determine if iNKT cells from patients can secrete as much IFN-γ following specific activation as those from HV, a detailed kinetic analysis would be required since the lower IFN-γ secretion that we observed for the healthy donors in our experimental conditions might be due to exhaustion after a 10-day stimulation. We observed an increased frequency of CD4
+ iNKT cells in patients who did not develop infection. This cell population is considered as a T
h2 sub-population [
12], in agreement with the high level of IL-4
+ iNKT cells also observed for this sub-group of patients. This increase in IL-4+ iNKT cells among patients who did not develop pneumonia is rather surprising. One possible explanation is that CD4+ iNKT cells appear to represent a less mature subset of iNKT cells [
13]. It is thus possible that exhaustion of the most mature iNKT cell pool was more pronounced in patients who developed pneumonia than in those who did not. Beyond the type of response (pro- or anti-inflammatory), the current results clearly indicate that an altered reactivity of iNKT cells to their usual ligands is probably tightly related to the occurrence of secondary infections.
BI is largely reported to induce activation of the sympathetic nervous system leading to the release of numerous molecules in circulation that impair immune function [
6]. Several studies focused on the central implication of catecholamines to promote systemic immunodepression [
6,
9]. Although having highlighted serum factors able to downregulate cytokine secretion, we failed to revert the phenomenon after treatment with antagonist of catecholamines, propranolol (data not shown). The serum factors responsible for the downregulation of the immune response thus remain to be characterized. Nonetheless, involvement of the adrenergic pathway cannot be excluded. Indeed, analysis of the cell surface expression of the beta-2 adrenergic receptor on T lymphocytes revealed a marked overexpression in BI patients. Our results suggest that this could represent a potent stress marker of the lymphocytes of BI patients and potentially of patients with related immunodepression
.
Some limitations deserve comments. First, the patterns of immune dysfunction described here could be general patterns observed in other populations of ICU patients. We aimed to perform a pathophysiological study with some complex experiments; this explains the relatively small number of patients studied and the lack of power analysis or logistic regression analysis for the comparison between infected and non-infected patients.
Conclusions
Overall, the current results indicate that iNKT cells could participate to the post BI immune response alongside other factors. CD1d expression and beta-2 adrenergic receptor may be new candidate markers of immunodepression, showing increased rather than decreased expression. The decreased capacity to present antigens is not a generalized phenomenon, and we demonstrate for the first time that the capacity for presenting glycolipids to iNKT cells through CD1d expression on monocytes is higher in BI patients.
Acknowledgements
The authors are grateful to the NIH tetramer core facility for providing the hCD1d/PBS57-loaded tetramers and to the CytoCell flow cytometry core facility of the Nantes University François Bonamy research federation. We thank the biological resource center for biobanking (CHU Nantes, Hôtel Dieu, Centre de ressources biologiques (CRB), Nantes, F-44093, France (BRIF: BB-0033-00040). We also thank Delphine Flattres and the research technicians and nurses of the ICU.
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