Targeting of tolerogenic dendritic cells to heat-shock proteins in inflammatory arthritis
Autologous tolerogenic dendritic cells (tolDC) are a promising therapeutic strategy for inflammatory arthritis (IA) as they can regulate autoantigen-specific T cell responses. Here, we investigated two outstanding priorities for clinical development: (i) the suitability of using heat-shock proteins (HSP), abundant in inflamed synovia, as surrogate autoantigens to be presented by tolDC and (ii) identification of functional biomarkers that confirm tolDC regulatory activity.
Cell proliferation dye-labelled human peripheral blood mononuclear cells of IA (rheumatoid arthritis (RA) and psoriatic arthritis (PsA)) patients or healthy donors were cultured with HSP40-, HSP60- and HSP70-derived peptides or recall antigens (e.g. tuberculin purified protein derivative (PPD)) in the presence or absence of tolDC or control DC for 9 days. Functional characteristics of proliferated antigen-specific T-cells were measured using flow cytometry, gene expression profiling and cytokine secretion immunoassays. Repeated measures analysis of variance (ANOVA) with Bonferroni correction for comparisons between multiple groups and paired Student t test for comparisons between two groups were used to determine significance.
All groups showed robust CD4+ T-cell responses towards one or more HSP-derived peptide(s) as assessed by a stimulation index > 2 (healthy donors: 78%, RA: 73%, PsA: 90%) and production of the cytokines IFNγ, IL-17A and GM-CSF. Addition of tolDC but not control DC induced a type 1 regulatory (Tr1) phenotype in the antigen-specific CD4+ T-cell population, as identified by high expression of LAG3, CD49b and secretion of IL-10. Furthermore, tolDC inhibited bystander natural killer (NK) cell activation in a TGFβ dependent manner.
HSP-specific CD4+ T-cells are detectable in the majority of RA and PsA patients and can be converted into Tr1 cells by tolDC. HSP-loaded tolDC may therefore be suitable for directing T regulatory responses to antigens in inflamed synovia of IA patients. Tr1 markers LAG3, CD49b and IL-10 are suitable biomarkers for future tolDC clinical trials.
KeywordsHuman Inflammatory arthritis Heat shock proteins Tolerogenic dendritic cells Tr1
analysis of variance
differentially expressed genes
minimum information about tolerogenic antigen presenting cells
peripheral blood mononuclear cells
purified protein derivative
tolerogenic dendritic cells
type 1 regulatory
Rheumatoid arthritis (RA) arises from a breakdown in self-tolerance leading to aberrant immune responses to autoantigens. Current treatments involve chronic immunosuppression in a non-antigen specific manner. Although these treatments can be effective at alleviating symptoms they do not provide a cure and the associated general immunosuppression can cause unwanted side effects (e.g. increased susceptibility to infection and certain cancers). An alternative approach are treatments that reinstate self-tolerance, leading to long-term remission whilst leaving protective immunity intact.
An emerging tolerogenic strategy is the administration of tolerogenic dendritic cells (tolDC). These cells act by inhibiting T-cell mediated pathology, for example through the induction of regulatory T-cells (Treg) [1, 2]. We recently conducted a clinical trial of autologous tolDC treatment in both RA and psoriatic arthritis (PsA) patients, confirming the safety and feasibility of this approach . However, two critical and related issues were highlighted. The first relates to identification of the optimal target (auto)antigen(s). Because definitive arthritogenic autoantigens have not been identified, for our clinical trial we pragmatically ‘loaded’ tolDC with autologous synovial fluid, based on data suggesting a content of relevant patient-specific autoantigens . However, without knowledge of the targeted antigen(s)’ identity it was not possible to measure modulation of the antigen-specific T-cell response. The second issue is the lack of suitable biomarkers. Because tolDC act in a highly targeted manner, it is imperative to monitor changes in antigen-specific T-cells, rather than measuring systemic immune markers. Loading of tolDC with known antigens will enable immune monitoring in a highly specific manner. Thus, future therapeutic studies with tolDC can be greatly improved by loading tolDC with relevant and known antigens, facilitating immune monitoring at the antigen-specific level and defining biomarkers of tolDC effectiveness.
We recently suggested to load tolDC with the surrogate self-antigens heat-shock proteins (HSPs) . HSPs are molecular chaperone proteins highly expressed in inflamed tissue. Indeed, the expression of HSP40, HSP60 and HSP70 family members is upregulated in the synovial tissue of RA patients [6, 7, 8, 9] and in the inflamed tissues of patients with other autoimmune diseases like multiple sclerosis, atherosclerosis, juvenile dermatomyositis and juvenile idiopathic arthritis [10, 11, 12, 13, 14]. Moreover, adoptive transfer of HSP-specific Treg effectively suppressed established disease in a murine autoimmune arthritis model. Subsequent deletion of these donor HSP-specific Tregs completely reversed the inhibition of disease progression, indicating disease suppression was induced by HSP-specific Tregs and not via bystander suppression . Thus, it is likely that directing a regulatory T-cell response to a non-disease inducing antigen present in the diseased tissue is sufficient to dampen down pathogenic autoimmune responses.
To this aim, we (1) assessed the presence and phenotype of HSP-specific T-cells in RA and PsA patients and healthy donors; (2) investigated the ability of tolDC to induce a regulatory phenotype in HSP-specific T-cells, and (3) identified suitable biomarkers for the identification of tolDC-modulated T-cells that can be used for imminent clinical trials.
The minimum information about tolerogenic antigen presenting cells (MITAP) checklist was followed for the preparation of this paper .
Peptides and antigens
HSP40 peptide: DnaJP1: QKRAAYDQYGHAAFE, HSP60 peptides: p1: GEALSTLVVNKIRGT and p3: PYILLVSSKVSTVKD, HSP70 peptide: B29: VLRIVNEPTAAALAY and a negative control peptide A5: RQAILTLQTSSSEPR (Genscript). Whole antigens that were used were tuberculin purified protein derivative (PPD; Statens Serum Institut) and Candida albicans (CA; Soluprick; Alk).
Isolation of cells
Human blood samples were obtained from healthy controls (HC) and treatment-naïve patients with recent onset arthritis (PsA and RA). Samples were collected with informed consent and following a favourable ethical opinion from local ethics committees. Peripheral blood mononuclear cells (PBMC; from 40 ml EDTA blood per donor) were isolated as previously described . Monocytes were positively selected from PBMC using anti-CD14 microbeads (Miltenyi Biotec) according to manufacturer’s protocol with one minor change: 10 µl instead of 20 µl anti-CD14 beads per 1 × 107 cells was used for cell isolation. CD14-depleted PBMC (hereafter referred to as ‘PBMC’) were collected from the column flow-through and stored for 1 week at − 80 °C in FCS (Gibco) with 10% DMSO (Sigma) and were used for the measurement of HSP-specific T cell responses and the DC/PBMC co-culture experiments (see below).
Establishment of tolDC
Immediately after isolation, monocytes were cultured in 24 wells plates (Corning) at 0.5 × 106 cells/ml (total 1 ml/well) for 7 days in CellGenix DC medium (CellGenix) containing penicillin (100 U/ml), streptomycin (100 μg/ml), GM-CSF (50 ng/ml; Immunotools) and IL-4 (50 ng/ml; Immunotools). During this period cells were kept at 37 °C with 5% CO2. On day 3, half of the medium was substituted by fresh (warm) medium containing GM-CSF (100 ng/ml) and IL-4 (100 ng/ml). For the generation of tolDC, dexamethasone (1 μM; Sigma) was added on days 3 and 6 and 1,25-dihydroxyvitamin D3 (Calcitriol; 0.1 nM; Tocris) and monophosphoryllipid A (MPLA) (1.0 μg/ml; Invivogen) were added only on day 6. Immature DC (imDC) were cultured in the presence of GM-CSF (50 ng/ml) and IL-4 (50 ng/ml). On day 7, 24 h after the last treatment, DC were harvested and washed extensively before functional assays were performed. DC were then resuspended at 4 × 105 cells/ml in X-VIVO-15. DC phenotype was checked using flow cytometry and was consistent with tolDC exhibiting a semi-mature phenotype, expressing low levels of CD83, intermediate levels of CD86 and high levels of HLA-DR and TLR2 (data not shown).
Measurement of HSP-specific T cell responses
PBMC were thawed, washed and labelled with 0.2 μM carboxyfluorescein succinimidyl ester (CFSE; eBioscience) or 0.2 μM cell proliferation dye eFluor-450 (CTV; eBioscience) in PBS for 10 min at 37 °C. CFSE/CTV was quenched with 10% human serum (HS; Sigma) in HBSS (Lonza). Cells were resuspended at 2 × 106 cells/ml in X-VIVO-15 medium (Lonza) supplemented with 4% HS (final concentration 2%) and plated at 2 × 105 cells per well (96 wells; round bottom; Corning). For each peptide eight wells were prepared. Peptides were added at 10 µg/ml. Cells were cultured for 9 days at 37 °C with 5% CO2. At the end of the culture, supernatants were collected for cytokine determination. Depletion of CD14 from PBMC did not hamper detection of HSP-specific T cell responses (data not shown).
CFSE or CTV-labelled PBMC were resuspended at 4 × 106 cells/ml in X-VIVO-15 medium (Lonza) supplemented with 8% HS (final concentration 2%) and plated at 2 × 105 cells per well (96 wells; round bottom; Corning). tolDC or, as a control, imDC were added in a 1:10 ratio (i.e. 2 × 104/well), in the absence or presence of PPD (1 µg/ml) CA (1 µg/ml) or a cocktail of the HSP-peptides (HSP40 DnaJP; HSP60 p1 and p3; HSP70 B2; all at 4 µg/ml) Cells were cultured for 6 (IL-10 secretion) or 9 days (all other measurements) at 37 °C with 5% CO2. TGF-βRI (ALK5) inhibitor (SB-505124; 1 µM; Sigma) was added where indicated. At the end of the culture, supernatants were collected for cytokine determination.
For cell surface staining: cells were washed in flow cytometry buffer (PBS (Lonza) supplemented with 3% fetal calf serum (FCS; Gibco), 1 mM EDTA (Fisher Scientific) and 0.01% sodium azide (Sigma)) before incubating them for 30 min on ice in flow cytometry buffer containing antibodies and 4 µg/ml human immunoglobulin (Ig)G (Grifols). Cells were washed and resuspended in flow cytometry buffer before analysis. For intracellular cytokine staining (ICS): cells were first stimulated with PMA (50 ng/ml) and ionomycin (1 μg/ml) for 5 h in the presence of brefeldin A (1 μg/ml; all from Sigma Aldrich) at 37 °C, 5% CO2. Cells were then surface stained as described before, washed in flow cytometry buffer and fixed/permeabilised using cytofix/cytoperm buffer (BD Biosciences) for 30 min on ice. Cells were washed twice in 1× perm wash buffer (BD Biosciences) and stained for 30 min in 1× perm wash buffer containing antibodies and 8% mouse serum. Cells were washed once in 1× perm wash buffer and once in flow cytometry buffer before resuspending them in flow cytometry buffer. Data were collected on an LSRfortessa X20 (BD Biosciences) and analysed using FlowJo (Tree Star Inc). Additional file 1: Table S1 depicts antibodies and live/dead dyes used for analysis.
RNA isolation and gene expression analysis
Cells from the PPD-DC/PBMC co-cultures were harvested and a total of 100,000 CFSE−CD4+DAPI− cells per sample were sorted into RLT buffer (Qiagen) supplemented with 1% β-mercaptoethanol (Sigma) using a FACSAria-fusion sorter (BD Biosciences). Lysates were stored for up to 4 months at − 80 °C before isolation of RNA. RNA was isolated using an RNeasy Micro Kit (Qiagen; including DNase step) according to the manufacturer’s protocol. A total of 100 ng of RNA was used for gene expression profiling by the nCounter technology platform (NanoString; Human Immunology Panel), performed according to the manufacturer’s protocol. Data was analysed using nSolver™ Analysis Software version 4.0 and R.
Cells from PPD-DC/PBMC co-cultures were harvested on day 6 and a minimum of 25,000 CFSE−CD4+ (unfractionated proliferated CD4+ T-cells from control-PPD cultures) or CFSE−CD4+LAG3+CD49b+ (proliferated Tr1 cells from tolDC-PPD cultures) sorted into X-VIVO-15 with 20% HS, using a FACSAria-fusion sorter. Sorted cells were rested for 2 days in X-VIVO-15 supplemented with 2% HS and 10 IU/ml of IL-2 (Proleukin; 25,000 cells/well; 96-well round-bottom). Cells were subsequently washed and restimulated with 10 µg/ml platebound anti-CD3 (OKT3; Biolegend) and 1 µg/ml soluble anti-CD28 (CD28.2; Biolegend) in X-VIVO-15 supplemented with 2% HS (total 100 µl; 96-well flat-bottom). Supernatants were collected after 72 h for cytokine determination.
Cytokine production was determined in supernatants by Meso Scale Discovery (MSD; U-Plex (IL-10, IFNγ, IL-4, IL-17A, GM-CSF) or by sandwich ELISA from BD (IL-10).
The following statistical analyses were performed using Prism 5: repeated measures analysis of variance (ANOVA) with Bonferroni correction for comparisons between multiple groups, paired Student t-test for comparisons between two groups.
Pro-inflammatory HSP-specific T-cells are present in IA patients
Characteristics of RA and PsA patients and healthy donors
RA (n = 19)
PsA (n = 10)
Healthy (n = 19)
Sex, % females
Duration of symptoms, weeks
To study the inflammatory nature of HSP-specific T-cell responses, we measured the secretion of the pro-inflammatory cytokines IFNγ, GM-CSF, IL-17A and IL-4 and the anti-inflammatory cytokine IL-10 in the supernatants of the HSP cultures. PBMC from both healthy donors and RA/PsA patients produced significant levels of pro-inflammatory cytokines in response to HSP (Fig. 1c).
TolDC induce a Tr1 phenotype in antigen-specific T-cells
Among the tolDC-PPD versus control PPD T-cell identified DEGs, 20 genes could either be identified as type 1 regulatory T-cells (Tr1)-specific genes or genes that have been described as inducers of Tr1-specific genes (Fig. 2c, [19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30]).
Recently, Gagliani et al. , described two surface antigens, LAG3 and CD49b, as being highly and stably expressed on Tr1 cells. Moreover, co-expression of only these two surface proteins allowed for the identification of Tr1 cells. To confirm that tolDC induce a Tr1 phenotype in PPD-specific T-cells, we measured the co-expression of LAG3 and CD49b and several other Tr1-specific proteins identified in the gene expression analysis, by flow cytometry. TolDC induced significant upregulation of the LAG3, TIM3, CD86 and PD-1 proteins as compared to control PPD cultures and the combined expression of LAG3 and CD49b could identify tolDC-induced PPD-specific Tr1 cells (Fig. 2d).
Overall, these data clearly indicate that tolDC induce a Tr1 phenotype in autologous antigen-specific CD4+ T-cells.
TolDC induce a Tr1 phenotype in HSP-specific T-cells of RA patients
Altogether, our findings demonstrate that tolDC can convert pro-inflammatory antigen-specific CD4+ T-cells in IA (RA and PsA) patients into anti-inflammatory Tr1 cells, which are characterised by expression of LAG3/CD49b and IL-10 production. In addition, tolDC-derived TGFβ blocks bystander NK-cell activation.
This study focused on two key questions that require elucidation before further tolDC clinical trials in RA can commence. First, as the idea behind tolDC therapy is to dampen the autoreactive T cell response, tolDC will need ‘loading’ with an appropriate disease-relevant antigen. Second, as tolDC act in a highly targeted manner, it is necessary to have suitable biomarkers that reflect modification of antigen-specific CD4+ T-cell responses in order to monitor tolDC efficiency in clinical trials.
There has been debate over the last few years about the need for loading of tolDC with a disease-relevant antigen for treatment in autoimmune diseases. Several animal studies have shown that disease remission can be achieved by treatment with unpulsed tolDC [36, 37], suggesting that tolDC may be able to pick up the relevant antigens in vivo. Indeed, phase I safety trials with unloaded tolDC have been completed for diabetes and Crohn’s disease [38, 39]. The risk, however, with using non-antigen-pulsed tolDC in vivo, is that (i) it is uncertain whether tolDC pick up and present appropriate antigen(s) and (ii) the identity of the presented antigen is unknown. Thus, if it is unknown which antigens are presented by tolDC, monitoring the antigen-specific T-cells response is not possible. In addition, other animal studies have shown that loading of tolDC is crucial for their therapeutic potential. For example, we and others have shown that loading of tolDC with type II collagen was required for disease remission in the collagen-induced arthritis model [40, 41, 42]. The same is true for a mouse model of multiple sclerosis. Myelin oligodendrocyte glycoprotein-pulsed tolDC performed significantly better than unpulsed tolDC [43, 44]. We and others have therefore used autoantigen-pulsed tolDC for our phase I clinical safety trials [3, 45].
However, the search for a common antigen to load tolDC for treatment of autoimmune diseases, like RA, has been a challenge. Here, we describe the use of HSP peptides as surrogate self-antigens to load tolDC. Since HSPs are highly expressed in the inflamed tissues of patients with numerous autoimmune diseases [6, 7, 8, 9, 10, 11, 12, 13, 14], HSP peptides would be ideal antigens for tolDC loading, not only for the treatment of RA, but also for tolDC-based treatments of other autoimmune diseases. Because these HSP antigens are only expressed in inflamed tissues, the regulatory actions of tolDC-induced HSP-specific Tr1 cells will be targeted to the site of inflammation only. Interestingly, we found that nearly 80% of both healthy individuals and RA/PsA patients have CD4+ T-cell-reactivity to the HSP peptides tested, indicating the (expected) promiscuity of these peptides.
The next step was to identify how tolDC alter the antigen-specific CD4+ T-cell response. As with all novel therapeutic approaches, suitable biomarkers are vital for the measurement of treatment efficiency. Using several antigens, including the HSP peptides, we showed that tolDC induce a clear Tr1 phenotype in antigen-specific CD4+ T-cells, with high expression of the Tr1 molecules LAG3 and CD49b and the anti-inflammatory cytokine IL-10 [19, 46]. With these findings, future immune monitoring could significantly be improved by measuring the Tr1 markers LAG3/CD49b on HSP-specific—or other disease-relevant antigen-specific—MHC II tetramer+ CD4+ T-cells.
An important additional finding we report here is the striking reduction of bystander NK-cell proliferation in tolDC/PBMC co-cultures. The synovial fluid of RA patients contains high levels of NK cells and they have been shown to aggravate cytokine imbalance and inflammation in rheumatic joints [47, 48, 49, 50]. NK cell proliferation is mainly dependent on the cytokines IL-2, IL-7 and IL-15 [51, 52] and can be hampered by factors like H2O2, soluble CD25 and TGFβ. We found that tolDC did not inhibit NK cell proliferation via IL-2, IL-15, soluble CD25 or H2O2, (data not shown), but found that NK cell proliferation could be restored by blocking TGFβ receptor signalling. This finding supports our previous notion that enhanced production of TGFβ is important for tolDC function  and that the tolerogenic role of tolDC in vivo might not be limited to their effect on the CD4+ T-cell population. Instead, tolDC could have a direct anti-inflammatory effect on the pathogenic immune cells present in the arthritic joints.
tolDC induce a Tr1 phenotype in antigen-specific T-cells of both healthy individuals and IA (RA and PsA) patients. The normally pro-inflammatory HSP-specific CD4+ T-cells of IA patients can be converted into anti-inflammatory Tr1 cells and bystander NK-cell proliferation is hampered due to high levels of tolDC-derived TGFβ. Thus, HSP-pulsed tolDC may be a promising tool for the restoration of immune tolerance in IA patients. Indeed, we (WE and FB) are currently preparing for a phase I trial with HSP70 peptide B29-pulsed tolDC in rheumatoid arthritis patients.
We thank Ms. Anastasia Resteu (Newcastle NanoString Facility, Newcastle University) for processing the samples on the NanoString nCounter platform. We acknowledge the Flow Cytometry Core Facility at Newcastle University for their expert help.
RS conceived the scientific idea, designed and performed experiments, collected and analysed data, and co-wrote the manuscript. MAAJ helped design experiments. MJW performed some experiments and analysed the Nanostring data. AAF and OE performed some experiments. AEA helped interpret data. AGP provided human samples and medical background information. WE, JDI and FB conceived the scientific idea. CMUH conceived the scientific idea, supervised the project, and co-wrote the manuscript. All authors discussed the results and contributed to the final manuscript. All authors read and approved the final manuscript.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Action (Grant Agreement No 654882) the Research into Inflammatory Arthritis Centre Versus Arthritis (RACE), UK (Versus Arthritis Grant Number 20298) and the EU/EFPIA Innovative Medicines Initiative 2 Joint Undertaking RTCure (Grant Number 777357). The research was supported by the National Institute for Health Research Newcastle Biomedical Research Centre based at Newcastle Hospitals NHS Foundation Trust and Newcastle University.
Ethics approval and consent to participate
All donors gave written informed consent for inclusion in the study and ethical approval was obtained from the following ethics committee: NRES Committee North East-Newcastle and North Tyneside 2, with the following reference number: 12/NE/0251 (amendment number: Substantial Amendment 1).
Consent for publication
The authors declare that they have no competing interests.
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