Decreased GPR55 expression links B-cell activation and vascular remodelling in atherosclerosis in patients with early rheumatoid arthritis
Department of Functional Biology, Area of Immunology, University of Oviedo, Oviedo, Spain
Department of Metabolism, Instituto de Investigación Sanitaria del Principado de Asturias, Oviedo, Spain
Department of Rheumatology, Hospital Universitario Central de Asturias, Oviedo, Asturias, Spain
Department of Neurology, Hospital Universitario Central de Asturias, Oviedo, Spain
Abstract
Objective
Inflammation and repair responses may be involved in atherosclerosis in rheumatoid arthritis (RA), although mechanisms are unknown. GPR55, a cannabinoid receptor expressed in haematopoietic and stromal tissues, has been implicated in atherosclerosis in mouse models, but evidence in humans is lacking. Our aim was to evaluate GPR55 expression in leucocyte populations in RA and their potential role in atherosclerosis.
Methods
GPR55 expression was quantified by flow cytometry in 63 treatment-naïve patients with RA, 11 individuals with arthralgia and 36 controls. Atherosclerosis was assessed by Doppler ultrasound. Cytokines were measured by immunoassays, and serum proteomics were performed by a high-throughput targeted panel. In vitro cultures were performed with mononuclear cells from healthy donors.
Results
Decreased GPR55 expression in B-cells and monocytes was found in RA, whereas no differences were observed in arthralgia. Public datasets validated these findings. B-cell GPR55 expression was unrelated to clinical features, risk factors and atherosclerosis in RA, but exhibited divergent associations with leucocyte populations. GPR55 expression was associated with proinflammatory cytokines, immunoglobulin and antibody levels, metabolomic markers of inflammation and proteomic signatures related to vascular remodelling and B-cell responses in RA. These associations were dependent on the atherosclerosis status. Lipopolysaccharide exposure in vitro decreased GPR55 expression in B-cells in a dose-dependent manner, which overlapped increasing CB86 expression.
Conclusions
Reduced GPR55 expression hallmarked B-cells and monocyte subsets in early RA. GPR55 expression was linked to B-cell activation-related pathways, presumably via T-cell independent mechanisms and vascular remodelling. GPR55 may be a novel hub between immune circuits and maladaptive responses in atherosclerosis.
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Keywords: Atherosclerosis; Arthritis, Rheumatoid; Biomarkers; B-Lymphocytes; Inflammation
Article notes
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Received 2025 Apr 21; Accepted 2025 Aug 11; Collection date 2025.
Boxed Text
WHAT IS ALREADY KNOWN ON THIS TOPIC
- GPR55 has been described to be involved in atherosclerosis in animal models, but evidence in human subjects is lacking.
WHAT THIS STUDY ADDS
- Altered GPR55 expression in leucocyte populations was observed in early rheumatoid arthritis.
- Decreased GPR55 expression in B-cells was linked to immune circuits, immunoglobulin production, proteomic signatures related to vascular remodelling and response to lipopolysaccharide.
- This is the first description of GPR55 expression in rheumatic and musculoskeletal diseases.
HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY
- GPR55 may be a novel hub to understand the crosstalk between immune responses and maladaptive remodelling in atherosclerosis.
Introduction
Rheumatoid arthritis (RA) has been consistently linked to an increased risk of atherosclerosis occurrence and progression. This risk excess cannot be solely explained by traditional cardiovascular (CV) risk factors, and the role of inflammation has emerged.1 2 However, specific mechanisms and mediators are far from being clear. Atherosclerosis is a complex, chronic disease which involves different cell populations from different organs and tissues, and processes such as inflammation, remodelling and repair.3 Thus, an intricate network of shared mechanisms and mediators ultimately orchestrates this multi-organ crosstalk.
Novel evidence has demonstrated a pivotal role for GPR55 in atherosclerosis by shaping the B-cell compartment in knockout animal models.4 GPR55 is a G protein-coupled receptor (GPCR)5 involved in the endocannabinoid system. Classical cannabinoid (CB) receptors have been reported to trigger different effects, with CB1 activation shown to be rather proinflammatory and CB2 promoting anti-inflammatory effects.6 GPR55 has been found to exhibit a low homology with classical CB receptors and lacks conventional cannabinoid binding pockets,7 hence suggesting different functions. In fact, GPR55 is thought to use different signalling pathways and be responsive to a range of ligands8 when compared with classical CB receptors.
Although existing literature had suggested a role for GPR55 in certain vascular outcomes, the recent study by Guillamat-Prats and colleagues4 highlights the role of adaptive immunity, namely B-cells, in this scenario. These findings may thus explain the anti-inflammatory effects of certain endocannabinoids.9 However, data on the expression of GPR55 in human leucocytes is rather limited,10 and most evidence came from murine studies.11
Despite various GPCRs being linked with immune responses, inflammation and clinical outcomes,12 13 whether GPR55 may be involved in human diseases remains to be explored. Similarly, although the endocannabinoid system has been studied in RA by virtue of its implication in analgesia, inflammatory pain and neural-immune axis,14 15 its role in comorbidities, including CV disease and atherosclerosis, has been largely neglected. Interestingly, contemporary research has demonstrated that GPR55 modulation holds promise as a pharmacological target in metabolically active tissues to improve disease outcomes,16 17 including atherosclerosis,18 in animal studies. Furthermore, the endocannabinoid system has been proven to participate in other pathological outcomes, including cardiometabolic risk.19 However, characterising the expression of GPR55 in human lymphocytes is imperative to consider the clinical translation from current preclinical studies.
Taken together, based on existing evidence it may be tempting to hypothesise that GPR55 expression may be altered in RA patients, probably in association with atherosclerosis outcomes and inflammatory circuits. Therefore, the main aims of the present study were (1) to evaluate the GPR55 expression in leucocytes from patients with RA and healthy volunteers, (2) to assess their associations with clinical and immunological features and (3) to characterise functional relevance and underlying causes of GPR55 expression in RA.
Material and methods
Study participants
Treatment-naïve patients with RA fulfilling the 2010 American College of Rheumatology (ACR)/European Alliance of Associations for Rheumatology (EULAR) classification criteria20 were recruited from the early arthritic clinic of the Department of Rheumatology at Hospital Universitario Central de Asturias (HUCA). Patients with RA were recruited at disease onset; therefore, they were not exposed to any disease-modifying antirheumatic drugs (DMARDs) at the time of sampling. During the patients’ appointment, a complete medical examination was performed, including Disease Activity Score 28-joints and Health Assessment Questionnaire (HAQ) calculations. A group of individuals with clinically suspect arthralgia (CSA)21 was also recruited from the same clinic. Additionally, healthy controls (HCs) were recruited among unrelated, age-matched and sex-matched healthy volunteers from the same population.
A fasting blood sample was collected from all individuals by venepuncture in EDTA-containing tubes. Blood samples were immediately transferred to the laboratory and processed within less than 2 hours. Serum samples were stored at −80°C until experimental procedures. Conventional blood biochemical (including C-Reactive Protein (CRP) and Erythrocyte Sedimentation Rate (ESR) measurements), lipid analyses and complete blood counts were performed in all individuals. Traditional CV risk factors (dyslipidaemia, hypertension, diabetes, smoking habits and obesity) in compliance with national guidelines were obtained from the medical records.
Vascular imaging
Subclinical atherosclerosis was assessed by Doppler ultrasound at the sonography laboratory (Department of Neurology, HUCA) according to validated procedures to evaluate carotid intima-media thickness (cIMT) and atherosclerosis burden, and vascular stiffness (see online supplemental material for extended information).
Analysis of GPR55 expression
Peripheral blood mononuclear cells (PBMCs) fractions were obtained by centrifugation (1800 rpm, 20 min) on density gradients (Lymphosep, Biowest, Germany). PBMCs (1×106 cells/mL) were stained with anti-CD19 PerCP-Cy5,5, anti-CD14 allophycocyanin and anti-GPR55 phycoerythrin (see online supplemental material) or isotype controls for 30 min at 4°C. Next, cells were washed twice with Phosphate Buffer Saline (PBS) and acquired in a BD FACS Canto II flow cytometer, using FACS Diva V.2.6 and FlowJo V.10 for analysis. Lymphocytes and monocytes were gated according to their differential Forward Scatter (FSC)/Side Scatter (SSC) features. CD19+ cells within the lymphocyte population were selected, and GPR55 expression was analysed in a histogram for the PE channel to quantify GPR55+ B cells. Similarly, monocyte subsets were assessed for GPR55-expressing CD14low and CD14high populations. Furthermore, GPR55 expression was also quantified by the mean fluorescence intensity (MFI) from gated populations (CD19+, CD14low and CD14high), after subtracting MFI values from isotype controls (see Online supplemental material for extended information).
Assessment of cytokine levels
Interleukin (IL)-6, Tumour Necrosis Factor (TNF), Interferon gamma (IFN-γ), IL-1b, IL-33, IL-23, IL-18, IL-17, IL-12, IL-10 and IL-8 serum levels were measured by a predefined multiplex assay (BioLegend). The serum levels of IFNα were quantified using a Cytometric Bead Array Flex Set (BD). A Proliferation-Inducing Ligand (APRIL), B-cell Activating Factor (BAFF) and IL-21 serum levels were quantified using ELISA kits (Invitrogen) (see Online supplemental material for extended information).
Proteomic analyses
Serum proteomics were evaluated through a high-throughput analysis. A predefined panel of 92 protein hits related to CV (CV Panel II) was measured using the Proximity Extension Assay proprietary test from Olink (Olink Bioscience, Sweden), as previously described in a previous study by Rodríguez-Carrio et al.22
In vitro cultures
PBMCs from healthy donors were isolated as previously described. PBMCs were cultured (37°C, 5% CO2) at a density of 2×106 cells/mL in Roswell Park Memorial Institute (RPMI) 1640 medium (Biowest) supplemented with 10% Fetal Calf Serum (FCS) (Biowest) and streptomycin/ampicillin (Sigma Merk, Belgium) (50 µg/mL and 250 µg/mL, respectively) under five lipopolysaccharide (LPS) (Invitrogen, Germany) concentrations (0, 10, 100, 1000 and 5000 ng/mL) for 24, 48 or 72 hours.
After the desired time points, cultured PBMCs from each condition were recovered from 48-well plates to analyse the GPR55 expression by flow cytometry. PBMCs were stained with anti-CD19 PerCP-Cy5,5 and anti-GPR55 PE antibodies as previously described. Moreover, 7-AAD PerCP-Cy-5,5 (Immunostep) was added to 100 µl PBMCs from each condition to monitor PBMC viability.
Statistical analyses
Variables were summarised as median (IQR) or n(%), depending on their distribution. Differences among groups were evaluated by Mann-Whitney U or Kruskal-Wallis tests, as appropriate. Corrections for multiple comparison tests were performed by Dunn-Bonferroni. Correlations were assessed by Spearman ranks’ tests.
Gene expression datasets were downloaded for validation from the publicly available National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) repository. Proteomic data were evaluated under the STRING platform (see Online supplemental material for extended information).
A p value<0.050 was considered as statistically significant. Statistical analyses were carried out under SPSS V.27, R V.4.1.3 and GraphPad Prism V.8.0.
Results
GPR55 expression in B-cells and monocytes from patients with RA
A total of 63 early, treatment-naïve patients with RA, 11 individuals with CSA and 36 sex-matched and age-matched HCs were recruited for this study (table 1). GPR55 expression was detected in the surface of B-cell and monocytes (both CD14high and CD14low subsets) from study participants by flow cytometry (figure 1A). Further analysis revealed that GPR55 was predominantly expressed in (switched) memory B-cells and plasmablasts, while being lower in double-negative B-cells, and rather absent in naïve and B1 cells (online supplemental figure 1). Patients with RA exhibited a lower GPR55 expression (measured as MFI) in B-cells and monocyte subsets compared with HCs (figure 1B). Equivalent results were obtained when the frequency of GPR55+ cells was computed (CD19+: 6.81 (4.17) vs 12.62 (17.00)%, p=0.031; CD14high: 31.77 (17.25) vs 37.54 (18.04)%, p=0.076; and CD14low: 37.08 (15.77) vs 46.34 (23.28)%, p=0.002). No differences were observed between individuals with CSA and HC in all subsets (all p>0.050).
| HC n=36 | CSA n=11 | RA n=63 | |
|---|---|---|---|
| Age (years), mean (range) | 59.30 (38.30–81.00) | 49.77 (38.08–62.33) | 58.61 (30.33–83.67) |
| Gender (female/male) | 22/14 | 11/0 | 52/11 |
| Clinical features | |||
| Duration of symptoms (weeks) | 24.00 (40.00) | 18.00 (20.00) | |
| Morning stiffness (min) | 30.00 (20.00) | 60.00 (105.00) | |
| Tender joint count | 0.00 (0.00) | 6.00 (6.00) | |
| Swollen joint count | 3.00 (3.00) | 9.00 (9.00) | |
| ESR (mm/hour) | 5.00 (8.00) | 24.00 (24.00) | |
| CRP (mg/dL) | 0.20 (0.30) | 0.80 (2.10) | |
| Patient global assessment (VAS 0–100) | 30.00 (40.00) | 70.00 (20.00) | |
| DAS28 | 5.25 (1.68) | ||
| HAQ | 0.60 (0.60) | 1.12 (1.00) | |
| Pain (VAS 0–10) | 5.00 (4.00) | 7.00 (2.00) | |
| RF+, n (%) | 6 (54.5) | 44 (69.8) | |
| RF, titre | 28.35 (41.00) | 76.70 (174.00) | |
| ACPA+, n (%) | 5 (45.4) | 42 (66.6) | |
| ACPA, titre | 15.55 (17.80) | 67.00 (29.90) | |
| Shared epitope, n (%) | 3 (27.2) | 42 (66.6) | |
| IgA (g/L) | 1.97 (1.41) | 2.70 (1.38) | |
| IgG (g/L) | 10.30 (3.33) | 10.99 (3.28) | |
| IgM (g/L) | 1.11 (0.73) | 1.11 (0.61) | |
| Traditional CV risk factors | |||
| Hypertension, n (%) | 1 (9.1) | 21 (33.3) | |
| Diabetes, n (%) | 0 (0.0) | 5 (7.9) | |
| Dyslipidaemia, n (%) | 3 (27.3) | 19 (30.1) | |
| Smoking, n (%) | 7 (63.6) | 26 (41.2) | |
| Obesity (BMI>30 kg/m2), n (%) | 1 (9.1) | 22 (34.9) | |
| Waist circumference (cm) | 90.00 (11.50) | 99.50 (20.25) | |
| Cardiometabolic features | |||
| Total cholesterol | 196.50 (44.00) | 193.00 (48.00) | |
| HDL-cholesterol | 74.00 (19.00) | 50.00 (19.00) | |
| LDL-cholesterol | 116.00 (49.00) | 115.20 (32.22) | |
| Triglycerides | 74.50 (54.00) | 107.50 (80.00) | |
| Glucose | 92.00 (19.00) | 98.00 (19.00) | |
| HbA1c, % | 5.30 (0.50) | 5.60 (0.50) | |
| Insulin, uU/mL | 6.25 (8.10) | 10.10 (11.80) | |
| C-peptide, ng/mL | 1.90 (1.00) | 2.79 (1.60) | |
| HOMA-IR | 0.60 (0.50) | 1.30 (1.38) | |
| QUICKI | 0.36 (0.05) | 0.33 (0.05) |
Furthermore, data from GPR55 gene expression was extracted from publicly available microarray datasets from the GEO database to validate our findings. Three datasets containing relevant samples for our analysis were retrieved: two datasets from PBMC studies in patients with RA and one dataset including stromal (synovial) tissue. GSE17755 included gene expression data from 18 patients with RA and 15 HCs, thus revealing a GPR55 downregulation in the RA group (figure 1C). GSE15573 included data from RA (n=112), Systemic Lupus Erythematosus (SLE) (n=22), juvenile idiopathic arthritis (JIA) (n=57) and healthy donors (n=53). GPR55 was found to be differentially expressed by GEO2R (adjusted p=2.05×10−10 among groups). Subgroup analysis revealed diminished GPR55 expression in RA and JIA groups compared with control groups, whereas no differences were noted in patients with SLE (figure 1D). Finally, results from GSE36700 containing synovial tissue samples from seven patients with RA, five patients with osteoarthritis and five patients with microcrystalline arthritis revealed no differences in GPR55 expression at the local tissue level (figure 1E).
Taken together, these results confirm that GPR55 is expressed in leucocyte subsets from human subjects, namely monocytes and B-cells, where a differential expression was observed within the memory compartment. Treatment-naïve patients with RA were hallmarked by a decreased GPR55 expression at protein level, which was validated at gene expression level in external datasets.
GPR55 expression in B-cells was associated with vascular remodelling and B-cell proteomic signatures in patients with RA
The analysis of serum cytokines revealed different trends in their association with GPR55 expression depending on the cellular subsets (table 2). Interestingly, GPR55 expression was correlated with several proinflammatory cytokines (IL-6, IL-8 and IL-18) in patients with RA, while a different picture was retrieved for monocyte subsets. No associations were observed in CSA or HC groups (all p>0.050).
| GPR55 expression | |||
|---|---|---|---|
| CD19+ | CD14low | CD14high | |
| IL-6 |
r=0.236
p=0.062 | r=0.162 p=0.205 | r=0.090 p=0.483 |
| TNF | r=0.110 p=0.390 | r=0.192 p=0.131 | r=0.106 p=0.409 |
| IFNγ | r=0.165 p=0.196 | r=0.135 p=0.291 | r=0.039 p=0.762 |
| IFNα | r=0.092 p=0.473 | r=0.082 p=0.523 | r=−0.058 p=0.651 |
| IL-1β | r=0.097 p=0.451 | r=0.101 p=0.429 | r=−0.052 p=0.684 |
| IL-33 | r=0.067 p=0.603 | r=0.024 p=0.849 | r=−0.096 p=0.456 |
| IL-23 | r=0.162 p=0.206 | r=0.090 p=0.485 | r=0.076 p=0.552 |
| IL-18 |
r=0.410
p<0.001 |
r=0.318
p=0.011 | r=0.164 p=0.198 |
| IL-17 | r=0.218 p=0.086 | r=0.042 p=0.744 | r=0.036 p=0.778 |
| IL-12 | r=0.086 p=0.505 | r=0.010 p=0.937 | r=−0.089 p=0.488 |
| IL-10 | r=0.178 p=0.163 | r=0.057 p=0.659 | r=−0.013 p=0.922 |
| IL-8 |
r=0.317
p=0.011 | r=0.226 p=0.074 |
r=0.266
p=0.035 |
| BAFF | r=−0.165 p=0.216 | r=−0.042 p=0.753 | r=−0.051 p=0.701 |
| APRIL | r=0.251 p=0.058 | r=0.100 p=0.361 | r=0.179 p=0.178 |
| IL-21 | r=0.052 p=0.697 | r=0.053 p=0.694 | r=−0.105 p=0.432 |
The assessment of serum proteomics provided similar results. Correlation analyses revealed that GPR55 expression in B-cells showed associations with a total of 15 protein hits, whereas 4 did with that of CD14high monocytes, and no associations were observed for the CD14low subset (online supplemental table 5). Equivalent results were obtained when GPR55+ frequency was used. Overall, proteins correlated with GPR55 expression in B-cells were related to matrix turnover and remodelling (PGF, CXCL1, IL-18, SERPINA12, MMP7, MMP12, ADAMTS13 and THBS2) and B-cell activation (SLAMF7, IL-6, VSIG2 and TNFRSF13B). Further analyses revealed a significant protein-protein interaction enrichment (p=5.99×10−11) using the STRING platform (figure 2A). Pathway annotation using Kyoto Encyclopaedia of Genes and Genomes (KEGG) mapper identified pathways related to humoral/type 2 adaptive responses, cytokine and chemokine production, neuroinflammation and foam cell differentiation (figure 2A). Of note, these correlations were dependent on the atherosclerosis status, being present only in patients with atherosclerosis and absent in the atherosclerosis-free group. In fact, subgroup analysis of patients with atherosclerosis mostly recapitulates the protein hits (n=11, protein-protein interaction enrichment: p=8.96×10−7) and signatures observed at the whole group level (figure 2B), hence suggesting that correlations at group level were mostly driven by the subgroup of patients with atherosclerosis. Interestingly, cytokine production and cellular response to LPS pathways predominated in this analysis.
Of note, atherosclerosis occurrence also modulated the associations between GPR55 expression in B-cells and a number of features, including proinflammatory cytokines, B-cell related factors, immunoglobulins, leucocyte subsets and metabolomic markers, as these associations remained or were stronger in patients with atherosclerosis while being absent in their atherosclerosis-free counterparts (table 3). Interestingly, the frequency of B-cells (% CD19+) was correlated with BAFF levels in patients without atherosclerosis (r=0.472, p=0.021), but not in those presenting atherosclerosis (r=0.099, p=0.584).
| Atherosclerosis | ||
|---|---|---|
| No | Yes | |
| Leucocyte subsets | ||
| Neutrophils | r=0.185 p=0.399 |
r=0.433
p=0.009 |
| Lymphocytes (%) | r=−0.182 p=0.405 |
r=−0.419
p=0.012 |
| B-cells (% CD19+) |
r=−0.626
p<0.001 |
r=−0.473
p=0.009 |
| Proinflammatory cytokines | ||
| IL-6 | r=0.202 p=0.343 |
r=0.225
p=0.032 |
| IL-8 | r=0.064 p=0.766 |
r=0.356
p=0.036 |
| IL-18 | r=0.176 p=0.411 |
r=0.407
p=0.015 |
| BAFF |
r=−0.584
p=0.005 | r=0.095 p=0.599 |
| APRIL | r=0.094 p=0.684 |
r=0.364
p=0.037 |
| Immunoglobulin levels | ||
| IgA | r=−0.037 p=0.888 |
r=0.429
p=0.020 |
| IgG | r=0.099 p=0.704 |
r=0.377
p=0.044 |
| Metabolomic features | ||
| GlycA | r=0.078 p=0.716 |
r=0.366
p=0.039 |
| GlycB | r=−0.140 p=0.514 |
r=0.590
p<0.001 |
All these results highlight distinct associations of GPR55 expression depending on cellular subsets. GPR55 expression in B-cells was related to proinflammatory and B-cell responses as well as with vascular remodelling pathways in an atherosclerosis-restricted manner. A similar picture was retrieved for cytokines and B-cell factors, immunoglobulin levels and metabolomic markers of inflammation.
LPS induced a dose-dependent GPR55 downregulation in human B-cells
Next, in order to gain insight into the GPR55 downregulation in B-cells, in vitro experiments were carried out with PBMCs from healthy volunteers exposed to growing concentrations of LPS along different timepoints.
In vitro assays demonstrated that LPS induced a GPR55 downregulation in B-cells (figure 3A). Although this effect was more evident at higher concentrations (1000–5000 ng/mL), a certain effect was also observed at lower levels (10–100 ng/mL) (figure 3A) and statistical analyses revealed a dose-dependent effect along the whole range (r=−0.832, p for trend<0.001). LPS-mediated GPR55 reduction overlapped with increasing CD86 expression, hence linking GPR55 downregulation with B-cell activation, also arising at lower LPS concentrations (figure 3B). Lowered GPR55 expression could not be attributed to a decrease of the total B-cell population, as it was unaffected by LPS exposure (figure 3C). Similarly, a potential effect on viability can be excluded, and no toxicity was registered even at higher concentrations (frequency of 7-Amino-actinomycin D (7-AAD+) cells within the live gate ranged between 2% and 4%), thus ruling out a potential confounding effect. Finally, these effects occurred early (24 hours), but they were stable along longer time points (48–72 hours) (online supplemental file 2). Moreover, despite the effect observed on B-cells, no effect on GPR55 expression was registered on T-cells or monocytes in vitro (data not shown).
Taken together, these results confirm that GPR55 expression in B-cells can be decreased in response to LPS exposure in a dose-dependent and sustained manner, thus suggesting an overlap between GPR55 downregulation and B-cell activation, presumably via T-cell independent mechanisms. Evidence from proteomic analyses supports these findings.
Discussion
The involvement of B-cells in atherosclerosis has gained attention in recent years, although mechanistic underpinnings are yet to be clarified. The results reported in this study demonstrate an altered expression of GPR55 in the early phase of RA, also in relation to inflammatory circuits, B-cell activation and remodelling responses. These results were independently validated in transcriptomic datasets and in vitro assays. To the best of our knowledge, this is the first description of GPR55 expression in patients with rheumatic and musculoskeletal diseases (RMDs).
Our findings demonstrate not only that GPR55 is expressed in leucocyte subsets from human populations, but also that altered GPR55 expression could be linked to human diseases, namely RA. These results were validated at the gene expression levels using public datasets, also highlighting differences between tissues (stromal vs haematopoietic). Differences in the cellular composition between tissues may account, at least in part, for these differences. As the endocannabinoid system is known to regulate several pathways,23 24 it may be feasible that different tissues and organs may be hallmarked by differential expression of its receptors, including GPR55. Furthermore, cell-specific differences within leucocyte subsets, as well as differences in their modulation on stimuli in vitro, were also observed in our study. Synovial-infiltrating leucocyte composition may differ from that of the systemic compartment, hence adding to this discrepancy. Moreover, important differences were found within the B-cell compartment, with a dominance of memory B-cells. These results are relevant in a twofold manner. First, memory subsets are instrumental to understand the chronicity and perpetuation of autoimmunity in RA.25 26 Second, these differences may help to understand the differences between RA and SLE in the datasets, as distinct B-cell subpopulations hallmark these conditions.27,30 Differences in B-cell activation have also been reported. Since GPR55 has been demonstrated to be differentially expressed among B-cell subsets, disturbances within B-cell pools may thus explain disease-specific patterns.
GPR55 expression in patients with RA was unrelated to clinical features, including patient-reported outcomes related to nociception, such as HAQ or pain scales. This finding emphasised the differences observed between GPR55 and other cannabinoid receptors.7 Interestingly, evidence from cytokine analyses, proteomic signatures, metabolomic features and in vitro experiments revealed associations between GPR55 expression, especially in B-cells, and inflammatory circuits. First, correlation analyses confirmed that GPR55 expression was associated with a number of proinflammatory mediators. Moreover, positive regulation of cytokine production was also retrieved after pathway annotation. The analysis of GlycA and GlycB levels, which are linked to systemic inflammation, reinforced these findings. Interestingly, distinct correlation profiles were noted between monocyte and B-cell subsets, thus pointing to cell context-specific roles or regulation. In fact, divergent patterns were also observed with lymphocytes and neutrophils counts. Furthermore, LPS exposure in vitro led to a dose-dependent GPR55 downregulation in B-cells, whereas no effect was observed on monocytes, in line with existing evidence.10 Equivalent results were obtained in neurons in an animal model, where the LPS challenge was also associated with a proinflammatory response.31 LPS is a well-known stimulant of B-cells, hence prompting activation, proliferation and differentiation.32 This may suggest a link between GPR55 expression and B-cell activation. Our findings support this idea, as LPS-induced GPR55 downregulation overlapped with increasing B-cell activation in vitro, measured as CD86 increased expression. Furthermore, the analysis of functional proteomic pathways also reinforced a potential connection with B-cell activation programmes. Furthermore, data from immunoglobulin levels and disease-related autoantibodies strengthen these observations. Interestingly, despite the associations found with IgA and IgG, no associations were observed with IgM. This divergence may relate to the differential GPR55 expression between memory and naïve subpopulations. These findings confirm previous evidence from GPR55-deficient mouse models.4
Recent evidence has reported that GPR55 deficiency may be connected with an altered IL-4 signalling,33 also related to B-cell differentiation. Transcriptomic and mitochondrial content analyses emphasised the involvement of GPR55 signalling in regulating B-cell activation and differentiation through a pleiotropic effect.4 34 On the other hand, GPR55 signalling has also been reported to inhibit Nuclear Factor kappa B (NFkB) (reviewed in a study by Trigo et al35), a master regulator of B-cell activation. Thus, it is tempting to speculate that reduced GPR55 signalling due to diminished GPR55 expression could in turn lead to an enhanced B-cell activation, thus creating a positive feedback loop. This may be of particular relevance under chronic stimulation, such as in autoimmunity. The negative association between GPR55 expression in B-cells and B-cell frequency in patients with RA support this idea. Moreover, the positive association between GPR55 expression and neutrophil-to-lymphocyte ratio also aligns with a context of chronic stimulation. In fact, prolonged GPR55 stimulation has been reported to downregulate expression.36 Collectively, our findings seem to suggest that GPR55 on monocytes and B-cells may not be related to pain, but rather to inflammation and B-cell activation. Decreased GPR55 may thus account for the B-cell overactivation observed in RA, and potentially to altered B-cell compartment in these patients, hence pointing to a potential role as an actionable target to guide therapeutic interventions. Further studies elucidating signalling pathways linked to GPR55 downregulation specifically in B-cells are warranted.
In addition to immune circuits, GPR55 expression was also associated with several matrix metalloproteinases and other mediators such as IL-18, C-X-C motif Ligand 1 (CXCL1) or Thrombospondin-2 (THBS2), which are involved in vascular and extracellular matrix turnover. Pathway analysis from our proteomic platform validated this finding. These results are in line with the existing literature, as altered or blocked GPR55 signalling has been related to impaired remodelling on experimental myocardial infarction,37 ventricular dysfunction33 or cardiomyocyte hypertrophy.38 Moreover, blocked GPR55 signalling has been linked to increased Matrix Metalloproteinase-9 (MMP-9) expression under inflammation.39 40 Furthermore, GPR55 knockdown blunted angiogenesis and endothelial functions, including growth factors production, in vitro.41 The findings presented in this study are relevant in a twofold manner. First, we set the role of B-cells in the centre of this altered remodelling response. Whereas most of the existing evidence came from broad GPR55 deletion in animal models, our results are suggestive of a specific effect of B-cells. This may explain why mice deficient in GPR55 in the haematopoietic system exhibited an aberrant remodelling response on myocardial infarction, to some extent recapitulating that of cardiac-specific knockout mice,37 despite the stromal compartment being unaffected in the latter. Second, our findings expand previous evidence on the role of B-cell specific GPR55 deficient mice in atherosclerosis development. Lack of GPR55 had been reported to trigger B-cell hyperactivation,4 which is also in line with our findings. However, effects beyond the B-cell compartment to account for vascular outcomes were largely unclear. Our study points to the involvement of remodelling and reparative processes in this scenario. GPR55 deficiency has been observed to modify the activity of a number of kinases, which relate to several cellular processes such as CREBP and mTORC2 signalling, response to oxidative stress, or even lipid metabolism.33 Whether these kinases could also directly activate vascular remodelling, or those events may indirectly trigger this phenomenon, is conceivable. Furthermore, altered tissue repair and matrix remodelling may also be related to limited GPR55 signalling, in a Peroxisome Proliferator–Activated Receptors-gamma (PPARγ)-mediated effect (reviewed in a study by Trigo et al35). Translational studies are needed to identify the presumed mechanisms underlying the connection between B-cell activation and remodelling pathways, either within B-cells or through cell-to-cell communication. Such an identification would be instrumental in elucidating potential therapeutic targets to dampen this phenomenon.
Experimental evidence has highlighted an association between GPR55 and vascular outcomes in animal models, including atherosclerosis. The association between GPR55 downregulation and B-cell activation may be in line with this protective effect. Surprisingly, our study failed to show an association between diminished GPR55 expression and atherosclerosis burden in RA. However, a number of remarks should be considered. Current evidence came from preclinical research using GPR55 knockout models or strong pharmacological inhibition, whereas our study assessed GPR55 expression at specific cellular subset level in real-world patient populations. Additionally, the nature of the association with vascular outcomes in the literature is intriguing. GPR55 deficiency has been linked to plaque size and phenotype, but not to atherosclerosis occurrence itself.4 Similarly, infarct occurrence and size were unaffected by GPR55 status,37 although it led to an altered subsequent remodelling response. Equivalent results were observed for cardiomyocytes or left ventricular hypertrophy.33 38 Furthermore, GPR55 antagonisation did not affect plaque size or composition under different atherogenic conditions, but augmented plaque stability and infiltration.39 Taken together, these studies seem to rule out a direct, causative effect of decreased GPR55 on the occurrence of vascular outcomes. Alternatively, evidence seems to suggest that diminished GPR55 may create a microenvironment more prone to vascular outcomes via altered remodelling, rather than a vascular insult itself. Experimental evidence also demonstrated that GPR55 led to decreased insulin resistance42 or physical activity,43 which are also known to enhance, but not necessarily trigger, vascular outcomes. Additional hits may explain the occurrence of vascular events in certain individuals but not in others (figure 4). This conceptual model aligns with the associations with reparative processes and/or maladaptive responses elsewhere described,33 37 also intertwining inflammation. It also supports the hypothesis that GPR55 signalling is required for the maintenance of physiological immune homeostasis under stress conditions.37 This model also aligns with the fact that GPR55 was profoundly decreased overall in the patient group, hence pointing to a ‘common hallmark’ rather than to disease biomarker for stratification. Furthermore, this model also reconciles our findings with the existing literature, since associations with GPR55 were dependent on atherosclerosis status. GPR55 was correlated with remodelling, B-cell proteomic signatures, immunoglobulins, proinflammatory cytokines and metabolomic features, all being related to cardiometabolic risk, in patients with atherosclerosis. On the contrary, GPR55 was unrelated to these features in their atherosclerosis-free counterparts. Interestingly, a negative association was found with BAFF levels, which aligns with the atheroprotective effects recently described for this factor,44 45 also in the context of GPR55-deficient models.4 Furthermore, differential GPR55 expression among B-cell subpopulations and differences in their BAFF/APRIL dependency, especially for memory cells and plasmablasts, may account for the different picture observed for APRIL and BAFF in our study.46,49 This is also supported by the strong association observed with Transmembrane activator and CAML interactor (TACI, TNFRSF13B) in our proteomic platform. Similarly, response to LPS proteomic signature predominated in patients with atherosclerosis, but not in those without atherosclerosis. This could be in line with the association between systemic LPS exposure and atherosclerosis occurrence in humans.50 Moreover, GPCRs have been linked to intestinal barrier permeability,51 and GPR55 has been linked to intestinal inflammation,52 both being major sources of systemic LPS. However, the involvement of the B-cell subset in this regard remains unexplored. Taken together, all these lines of evidence may shed some light to understand how the atheroprotective role of B-cells depends on GPR55. These findings could inform future studies identifying the exact mechanisms by which disturbed B-cells integrate with additional hits for paving the ground for atherosclerosis development.
However, a number of limitations must be considered for this study. Our study is based on treatment-naïve patients, and whether GPR55 expression is normalised on DMARD initiation is unknown. Prospective studies are needed to elucidate this phenomenon. Larger trials including patients in all disease stages beyond early arthritis may be useful in elucidating its potential role as a biomarker for disease stratification. Moreover, our study was based on real-world patient samples, and most of our findings were correlative in nature. Then, mechanistic data linking GPR55 expression to immune cell behaviour should inspire future studies. Transcriptomic studies are warranted to better understand the role of GPR55 on B-cell activation. Moreover, our functional assays represent a proof-of-concept study to link GPR55 downregulation and B-cell activation. Additional experiments are needed to characterise the process of B-cell activation, including B-cell proliferation rates, changes in cellular metabolism and cell differentiation trajectories. Finally, we hypothesise that GPR55 signalling may be diminished in RA due to GPR55 downregulation. In fact, no differences have been reported in Lysophosphatidylinositol (LPI) levels in patients with RA.53 Nevertheless, a systematic characterisation of the GPR55:ligand axis is needed, also capturing the heterogeneity of LPI composition,54 as well as the wide diversity of ligands described for GPR55 beyond LPI.8
In conclusion, reduced GPR55 expression hallmarked monocytes and B-cell subsets, mainly memory subpopulations, in early arthritis, whereas no differences were found in the preclinical stage. GPR55 expression was linked to B-cell activation-related pathways, especially in patients with atherosclerosis, and presumably via T-cell-independent mechanisms. Associations with inflammatory mediators and immunoglobulin levels were also atherosclerosis status dependent. Functional studies are warranted to validate and ensure clinical translation. These findings open new avenues for treatment aimed at reverting diminished GPR55 signalling and may also help to understand the therapeutic outcomes on certain drugs, as decreased GPR55 expression in certain conditions may limit beneficial effects. Of note, targeted GPR55 stimulation has been proposed to beneficially impact clinical outcomes on infarction occurrence.37 Furthermore, our findings strengthen the crosstalk between neuroendocrine, namely the endocannabinoid system, and immune circuits. Although targeting the endocannabinoid system holds promise to block pain, inflammation and joint destruction in RMDs, data is scarce and mostly limited to conventional CB receptors.55 Emerging data from animal models also suggests a positive effect on atherosclerosis prevention,56 which may also support this notion. Moreover, our findings provide novel understanding towards the role of B-cells in atherosclerosis, especially in autoimmunity. Finally, the results herein presented expand the knowledge of non-conventional lipids in RA and atherosclerosis, as GPR55 signalling mostly relies on complex, arachidonic-derived lipid species. Collectively, GPR55 may be a novel hub to understand the crosstalk between immune responses and maladaptive remodelling in atherosclerosis.
Supplementary material
Acknowledgements
The authors would like to thank Ms Marta García Boto (Department of Rheumatology, HUCA) for her assistance in the collection of blood samples, and the ‘Liga Reumatológica Asturiana’ for their support.
Footnotes
Footnote Group
Data availability statement
Data (de-identified) are available upon reasonable request. All data relevant to the study are included in the article or uploaded as supplementary information.
References
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Associated Data
Supplementary Materials
Data Availability Statement
Data (de-identified) are available upon reasonable request. All data relevant to the study are included in the article or uploaded as supplementary information.