Skip to main content

Diminished expression of the ubiquitin-proteasome system in early treatment-naïve patients with rheumatoid arthritis and concomitant type 2 diabetes may be linked to IL-1 pathway hyper-activity; results from PEAC cohort

Abstract

Objective

Based on the recent evidence of IL-1 inhibition in patients with rheumatoid arthritis (RA) and concomitant type 2 diabetes (T2D), we evaluated the synovial tissue expression of IL-1 related genes in relationship to the ubiquitin–proteasome system and the effects of insulin on ubiquitinated proteins in fibroblast-like synoviocytes (FLSs).

Methods

The synovial expression of IL-1 pathway genes was compared in early (< 1 year) treatment-naïve RA patients with T2D (RA/T2D n = 16) and age- and sex-matched RA patients without T2D (n = 16), enrolled in the Pathobiology of Early Arthritis Cohort (PEAC). The synovial expression of ubiquitin in macrophages and synovial lining fibroblasts was also assessed by Immunohistochemistry/immunofluorescence and correlated with synovial pathotypes. Finally, FLSs from RA patients (n = 5) were isolated and treated with human insulin (200 and 500 nM) and ubiquitinated proteins were assessed by western blot.

Results

Synovial tissues of RA/T2D patients were characterised by a consistent reduced expression of ubiquitin–proteasome genes. More specifically, ubiquitin genes (UBB, UBC, and UBA52) and genes codifying proteasome subunits (PSMA2, PSMA6, PSMA7, PSMB1, PSMB3, PSMB4, PSMB6, PSMB8, PSMB9, PSMB10, PSMC1, PSMD9, PSME1, and PSME2) were significantly lower in RA/T2D patients. On the contrary, genes regulating fibroblast functions (FGF7, FGF10, FRS2, FGFR3, and SOS1), and genes linked to IL-1 pathway hyper-activity (APP, IRAK2, and OSMR) were upregulated in RA/T2D. Immunohistochemistry showed a significant reduction of the percentage of ubiquitin-positive cells in synovial tissues of RA/T2D patients. Ubiquitin-positive cells were also increased in patients with a lympho-myeloid pathotype compared to diffuse myeloid or pauci-immune-fibroid. Finally, in vitro experiments showed a reduction of ubiquitinated proteins in RA-FLSs treated with a high concentration of insulin (500 nM).

Conclusions

A different IL-1 pathway gene expression was observed in the synovial tissues of early treatment-naïve RA/T2D patients, linked to decreased expression of the ubiquitin–proteasome system. These findings may provide a mechanistic explanation of the observed clinical benefits of IL-1 inhibition in patients with RA and concomitant T2D.

Introduction

The course of rheumatoid arthritis (RA), despite the clinical improvement associated with the introduction of biologic disease-modifying antirheumatic drugs (bDMARDs), is still burdened by accelerated atherosclerosis, resulting from the synergy between the pro-inflammatory process and “traditional” cardiovascular risk factors [1, 2]. In this context, a consistent connection has been increasingly highlighted between RA and aberrant glucose metabolism since the elevated frequency of concomitant insulin resistance (IR) and type 2 diabetes (T2D) [3]. Remarkably, interleukin-1β (IL-1β), IL-6, and tumour necrosis factor (TNF), which are well-known pathogenic mediators in RA, also play a pivotal role in the development of T2D [2, 4]. The inflammatory pathogenetic contribution of T2D has recently suggested new anti-diabetic therapeutic strategies by using bDMARDs, which are commonly used in RA, as effective therapies in improving glucose abnormalities [4, 5]. In a randomised controlled trial enrolling T2D patients, anakinra, a recombinant human interleukin-1 receptor antagonist, significantly reduced the glycated haemoglobin (HbA1c%) [6]. More recently, another trial investigated whether IL-1 inhibition could bidirectionally improve both glycaemic and inflammatory parameters in RA/T2D patients [7]. Interestingly, anakinra-treated patients had a significant reduction of HbA1c% which was not observed in control group of TNF inhibitors-treated patients. At the same time, a progressive reduction of RA disease activity was observed in both groups [7]. In addition, IL-1 inhibition showed to improve insulin sensitivity in RA/T2D patients [8]. The clinical benefits of IL-1 inhibition were also maintained in the long-term [9]. However, although these relevant clinical differences could suggest a possible pathogenic role for IL-1β in both RA and T2D, the underlying molecular mechanisms are not fully elucidated yet. The production and activity of IL-1β are strictly controlled, because of its strong inflammation-promoting capacity [10]. In this context, a role for the ubiquitin–proteasome system is proposed, consisting of a complex of enzymes inducing a post‐translational modification by adding ubiquitin and tagging proteins for degradation by the proteasome [11]. Thus, the post-translational modification of proteins by ubiquitin plays a critical role in a variety of intracellular signalling pathways [11]. Interestingly, IL-1β may be regulated by ubiquitin–proteasome system; the precursor IL-1β may become inaccessible to caspase-1 by the addition of ubiquitin, consequently limiting its activation [12, 13]. Furthermore, the production of activated IL-1β may be enhanced by the lack of ubiquitin [12, 13]. However, the ubiquitin–proteasome system has not been investigated in RA/T2D patients.

On these bases, we aimed at evaluating the expression of IL-1 pathway genes and the relationship to the ubiquitin–proteasome system in the synovial tissues of early treatment-naïve RA patients with and without T2D. We also aimed at assessing the effects of high concentration of insulin and glucose in vitro on ubiquitinated proteins in RA-fibroblast-like synoviocytes (RA-FLSs).

Methods

Patients

Early (< 1 year) treatment-naïve RA/T2D patients (RA/T2D n = 16) were exploratory compared with age- and sex-matched RA patients without T2D (n = 16) among those enrolled in the Pathobiology of Early Arthritis Cohort (PEAC) [14]. The latter consists of consecutive patients with early treatment-naïve RA (disease duration < 1 year) recruited as part of a Medical Research Council–funded observational study. Synovial tissue specimens were obtained from all patients at study entry by ultrasound–guided synovial biopsy, as previously described [15, 16]. Patient demographic characteristics and clinical parameters collected at the time of assessment are reported in Table 1. Some potentially relevant features in this context, such as lipide profile, insulin levels, and HbA1c, were not included since PEAC cohort was not originally designed to assess these metabolic outcomes. All patients provided written informed consent, and the study received local ethics approval (PEAC LREC: 05/Q0703/198).

Table 1 Descriptive characteristics of assessed patients

RNA sequencing analyses

Available synovial RNA sequencing was assessed and compared between RA/T2D patients (n = 8) with age- and gender-matched RA patients without T2D (n = 8). Considering their relevance in both diseases [17,18,19,20], IL-1, IL-6, TNF, and insulin pathway genes were specifically assessed (Supplementary material and methods 1). To compare the expression of the above genes in the two groups, we performed differential expressed genes analysis between RA/T2D and RA patients for the genes of interest using DeSeq2 (DESeq2, and a Wald test to compare variation between groups. Distributions of DEGs using nominal Wald test-derived P values and log2 fold changes were illustrated in a volcano plot. The analyses were performed in R (version 3.6.3 or higher).

RNA extraction and associated RNA sequencing were performed on synovial tissue samples, as previously extensively described [14]. The RNA‐Seq dataset is deposited in the ArrayExpress database (online at https://www.ebi.ac.uk/arrayexpress; accession no. E‐MTAB‐6141).

Histological assessment

Synovial biopsies were analysed by immunohistochemistry and semiquantitatively scored (0–4) for the presence of B cell aggregates (cluster of differentiation [CD]20 +), plasma cells (CD138 +), T cells (CD3 +), and monocytes or macrophages (CD68 +) in the synovial lining or sublining layers. Based on histology scores, synovial samples were codified as lympho-myeloid (CD20 B cell aggregate rich), diffuse-myeloid (CD68 rich in the lining or sublining layer but poor in B cells), or fibroid (paucity of immune-inflammatory cell infiltrate), as previously performed [21, 22]. This evaluation was performed on all assessed patients who were enrolled in PEAC cohort (RA/T2D n = 16, RA patients without T2D n = 16). After that, the synovial expression of ubiquitin in macrophages and lining FLSs was assessed by immunohistochemistry/immunofluorescence and correlated with synovial pathotypes comparing RA/T2D patients (n = 15) with RA patients without T2D (n = 11), due to the availability of further samples for histological evaluation. Immunohistochemical staining for ubiquitin (Ubiquitin (A-5): sc-166553; 1:200 dilution) was performed on sequential 3-μm cut slides, which were acquired using the NanoZoomer S60 Digital slide scanner (Hamamatsu) and analysed using a pixel-based digital image analysis (QuPath) to compare the percentage of ubiquitine positive cells (per mm2 of tissue) in RA/T2D patients and patients without T2D. Immunofluorescence staining was performed on 3-μm, formalin-fixed, paraffin embedded human sections obtained from synovial tissues of 4 patients with RA, as previously described [23]. Briefly, following deparaffination and antigen retrieval (pH 6.0; Dako, no. S1699), peroxidase and biotin activity blocking with peroxidase (Dako, no. S2023) and protein block (Dako, no. X0909), slides were stained with primary antibodies (mouse anti-human Ubiquitin A-5 sc-166553, mouse antihuman CD68 Dako clone KP1, rabbit anti-human CD55 Ab133684) followed by secondary antibodies (HRP-polymer DAKO envision reagent K4002) and fluorophore-conjugated tyramide reagent (Invitrogen Alx488 for CD68, Invitrogen Alx555 for CD55 and Invitrogen Alx647 for ubiquitin), and DAPI (Thermofisher) nuclear counterstaining.

Slides were then mounted with ProLong Gold Antifade reagent (Thermofisher) and images were captured using a NanoZoomer S60 Digital slide scanner (Hamamatsu, no. C13210-01). Image analysis was performed using NDP.view 2 Software (Hamamatsu Photonics, no. U12388-01).

In vitro experiments

RA-FLSs from RA patients without T2D (n = 5) were isolated immediately after biopsy by digestion of the synovial tissues with collagenase type I (0,5 mg/mL, Thermo Fisher) at 37 °C overnight. In this experiment, we used RA-FLSs from RA without T2D to evaluate the effect of high concentration of insulin and glucose in vitro on ubiquitinated proteins without the possible confounding effect of the concomitant glucose derangement. After washing, the cells were grown in a Dulbecco’s modification of Eagle medium (DMEM) supplemented with 10% FBS, 50 IU/ml penicillin/streptomycin, 2 mM glutamine, and 10 mM HEPES. The baseline concentration of glucose in DMEM was 100 mg/dL. For in vitro experiments, RA-FLSs, used between passages 4 and 8, were plated on 6-well plates (5 × 105 cells/well) and treated with human insulin (200 and 500 nM; Lonza) and with high concentration of glucose (40 mM, Sigma). Dose–response experiments were preliminarily performed on FLSs isolated from patients with osteoarthritis (data not shown). After 24 h of culture, RA-FLS were collected for analysis of ubiquitinated proteins by western blot as described below. In addition, RA-FLSs treated or not with insulin were lysed in RIPA buffer (Cell Signalling), and whole cell lysates (30ug) were separated by SDS polyacrylamide gel electrophoresis (SDS-PAGE) and then transferred onto a polyvinylidene difluoride membrane by Trans-Blot Turbo Transfer System (Biorad). Western blot was performed using anti-ubiquitin antibody (1:1000, Santa Cruz Biotechnology) and anti-β-actin antibody (1:5000, Proteintech). Peroxidase-conjugated goat anti-rabbit IgG and anti-mouse IgG antibodies (Life Technologies) were used as secondary antibodies and the reaction was developed using the LightWave Max Substrate (GVS). Acquisition and quantification of proteins expression was performed by using ChemiDoc System (Biorad).

Results

RA/T2D synovial tissues show a consistent reduction gene expression of ubiquitin proteasome system

RA/T2D patients and age- and sex-matched RA patients without T2D were selected among those included in PEAC cohort (Table 1). In these patients, already assessed synovial samples for RNA sequencing were newly evaluated for the purposes of the present study without performing a new processing.

Synovial RNA-sequencing analysis showed that one third of IL-1 pathway genes (41/138) were significantly different in RA/T2D patients compared to RA patients without T2D. Assessing IL-6, TNF, and insulin pathway genes, some differences were also retrieved at individual gene level. Synovial tissues of early treatment-naïve RA/T2D patients were characterised by a consistent reduced expression of ubiquitin–proteasome genes. More specifically, ubiquitin genes (UBB, UBC, and UBA52) were significantly lower in T2D/RA patients than RA patients. Furthermore, some genes codifying proteasome subunits were significantly lower in RA/T2D patients (PSMA2, PSMA6, PSMA7, PSMB1, PSMB3, PSMB4, PSMB6, PSMB8, PSMB9, PSMB10, PSMC1, PSMD9, PSME1, and PSME2). Additionally, some positive gene regulators of the ubiquitin–proteasome system (RACK1, RBX1, RPS27A, SEM1, S100A12, S100B, and SAA1) were significantly downregulated in RA/T2D patients than others. Some additional genes resulted also to be downregulated in RA/T2D patients in comparison with RA patients (CILP, CASP1, FGF23, IL31RA, and IL1B). On the contrary, some genes regulating fibroblast functions were upregulated (FGF7, FGF10, FRS2, FGFR3, and SOS1). Furthermore, APP, IRAK2, and OSMR were significantly increased in RA/T2D patients than others. Similarly, RA/T2D patients showed an enhanced synovial expression of IL6ST IL18R1, and LIF. These findings are summarised in Fig. 1.

Fig. 1
figure 1

RNA sequencing assessment of RA patients with and without T2D. A Volcano plot is shown reporting differential expressed genes analysis between RA/T2D and RA patients using nominal p values. Ubiquitin genes (UBB, UBC, and UBA52) were significantly lower in T2D/RA patients than RA patients. Furthermore, some genes codifying proteasome subunits were significantly lower in RA/T2D patients (PSMA2, PSMA6, PSMA7, PSMB1, PSMB3, PSMB4, PSMB6, PSMB8, PSMB9, PSMB10, PSMC1, PSMD9, PSME1, and PSME2). Additionally, Additionally, some positive gene regulators of the ubiquitin–proteasome system (RACK1, RBX1, RPS27A, SEM1, S100A12, S100B, and SAA1) were significantly downregulated in RA/T2D patients than others. In addition, some additional genes resulted to be downregulated in RA/T2D patients in comparison with RA patients (CILP, CASP1, FGF23, IL31RA, and IL1B). On the contrary, some genes regulating fibroblast functions resulted to be upregulated (FGF7, FGF10, FRS2, FGFR3, and SOS1). Furthermore, APP, IRAK2, and OSMR were upregulated in RA/T2D patients than others. Similarly, RA/T2D patients showed an increased synovial expression of IL6ST IL18R1, and LIF. B, C, and D Individual differences in ubiquitin genes (UBB, UBC, and UBA52) are reported between RA and RA/T2D. E, F, G, H, I, and J Representative individual differences of genes for proteasome subunits (PSMA2, PSMB1, and PSMC1) and positive gene regulators of the ubiquitin proteasome system (RACK1, RBX1, and RPS27A) are shown between RA and RA/T2D. K, L, and M Representative individual differences of genes regulating fibroblast functions (FGF7, FGF10, and SOS1) are described. N, O, and P Individual genes differences for APP, IRAK2, and OSMR are reported between RA and RA/T2D

Ubiquitin-positive cells are reduced in synovial tissues of RA/T2D patients

Based on histology scores, synovial patient samples were codified as lympho-myeloid [RA: 7 (43.7%) vs RA/T2D 7 (43.7%), p = 0.999)], diffuse-myeloid [RA: 4 (25.0%) vs RA/T2D 6 (43.7%), p = 0.704)], fibroid [RA: 4 (25.0%) vs RA/T2D 1 (6.2%), p = 0.333)], or ungraded [RA: 1 (6.2%) vs RA/T2D 2 (12.5%), p = 0.426)]. Analysing the synovitis score, no difference was also retrieved comparing RA patients with and without T2D [RA: 4.0 ± 2.7 vs RA/T2D 4.0 ± 2.1, p = 0.999)].

Immunohistochemistry showed a significant reduction of the percentage of ubiquitin-positive cells in synovial tissues of early treatment-naïve RA/T2D patients (RA: 47.9% vs RA/T2D: 29.0%, p = 0.01, representative examples of the staining in Fig. 2A – RA, and B – RA/T2D, and summary in Fig. 2D). Accordingly, a significantly lower number of ubiquitin-positive cells per mm2 of tissue was observed in RA/T2D patients [RA: 4070.9 (2040.4–5960.1) vs RA/T2D: 1621.1 (1028.2–2743.3), p = 0.01] (Fig. 2E). Furthermore, a higher percentage of ubiquitin positive cells was observed in lympho-myeloid group when compared with both pauci-immune and diffuse-myeloid pathotypes [lympho-myeloid: 50.97 (35.7–73.2), pauci-immune: 8.9 (5.4–24.4), diffuse myeloid: 28.08 (17.2–31.8) respectively, p = 0.003] (Fig. 2F). These data may suggest a reduced expression of ubiquitin in synovial tissues of RA/T2D patients than RA patients without this comorbidity. Although, as expected, ubiquitin showed a widespread expression in synovia, by immunofluorescence, we observed the colocalization of ubiquitin with synovial macrophages and lining RA-FLSs in overall assessed patients without clear distinctions in RA patients with and without T2D (Fig. 2C).

Fig. 2
figure 2

Histologic assessment of synovial tissues of RA patients with or without T2D. A and B Representative images are reported of immunohistochemistry for ubiquitin on synovial tissues of patients with early treatment naïve RA patient without T2D (out of a total of n = 11) (A) and with T2D (out of a total of n = 15) (B); BROWN: DAB positive staining for ubiquitin. In the 10 × magnification: VIOLET circles show the nuclei detected by QuPath, RED circles the positive cell detection for ubiquitin by QuPath. C Representative image is shown of Immunofluorescence on synovial tissue (out of n = 4 stainings); DAPI-blue for nuclei, CD55-yellow for lining synovial fibroblasts, CD68-green for macrophages, ubiquitin-red. D, E, and F Summary of differences are shown in the assessment of ubiquitin-positive cells between RA and RA/T2D, considering percentage of cells (D) or number per mm.2 (E), and according to different pathotype (F)

Ubiquitin is reduced in RA-FLS following the stimulation with insulin

Considering the findings derived from both RNA sequencing and histological assessment, we evaluated the effects of high concentrations of both insulin and glucose on RA-FLSs derived from RA patients without T2D following a 24 h-stimulation. Dose–response experiments were preliminarily performed on FLSs isolated from patients with osteoarthritis (data not shown). RA-FLSs were cultured in the presence of insulin (200 and 500 nM) and glucose (40 mM). RA-FLSs stimulated with insulin at concentration of 500 nM showed a significant reduction of total amount of ubiquitin compared to untreated condition (p = 0.02). These results are reported in Fig. 3. Differently, no changes were detected in ubiquitin levels after stimulation with high concentration of glucose.

Fig. 3
figure 3

The effect of insulin and glucose on RA-FLSs. Western blot analysis of total ubiquitin levels of RA-FLS treated with insulin at concentrations of 200 and 500 nM and glucose for 24 h. A Blot shown is representative of three independent experiments performed using RA-FLS samples from different patients. B Densitometry analysis of total ubiquitin levels relative to β-actin is also reported. Values are expressed as mean ± sd. * p = 0.02

Discussion

In this study, we observed that synovial tissues of patients with early treatment-naïve RA and concomitant T2D were characterised by a different expression of IL-1 pathway genes compared to age- and sex-matched RA patients without T2D, with the differences mostly linked to a decreased expression of genes of the ubiquitin–proteasome system. Accordingly, we observed a decreased percentage of ubiquitin-positive cells in RA/T2D patients, which colocalized with synovial macrophages and lining RA-FLSs. In addition, the stimulation of RA-FLSs with insulin reduced the expression of ubiquitin, suggesting the impact of the metabolic T2D burden on RA synovial tissues mediated by the ubiquitin pathway.

In the present study, we assessed patients enrolled in PEAC; this is a unique cohort of treatment-naïve early RA patients [14,15,16]. The latter may provide the exclusive opportunity to gain relevant pathogenic insights before the therapeutic modification of the disease pathology due to the treatment. Furthermore, in PEAC study, small joints were assessed, which are less probably influenced by additional features as degenerative disorders. All things considered, a detailed assessment of synovial tissues in treatment-naïve early RA patients may provide crucial information in dissecting the clinical heterogeneity of this disease and, consequently, a more tailored treatment [24, 25].

The reduced synovial expression of genes for ubiquitin (UBB, UBC, and UBA52), for proteasome (PSMA2, PSMA6, PSMA7, PSMB1, PSMB3, PSMB4, PSMB6, PSMB8, PSMB9, PSMB10, PSMC1, PSMD9, PSME1, and PSME2), and for positive regulators of this system (RACK1, RBX1, RPS27A, SEM1, S100A12, S100B, and SAA1) in early treatment-naïve RA/T2D patients may possibly underpin a hyper-activity of IL-1 pathway, despite the apparent lower expression of IL1B. In fact, IL-1β is rapidly turned over by ubiquitylation and proteasomal targeting [26]. After its decoration with ubiquitin, precursor IL-1β may become inaccessible to caspase-1 cleavage, limiting the activation of this cytokine [26].

In parallel, the lack of ubiquitin may enhance the levels of precursor IL-1β and the production of bioactive IL-1β, enhancing its pro-inflammatory activity [26, 27]. Thus, ubiquitin-mediated post-translational control and proteasomal targeting of IL-1β may critically regulate its inflammatory capacity. Our study also showed that increased levels of insulin were associated with a reduction of the expression of ubiquitin in FLSs derived from RA patients without T2D according to in vitro experiments. Thus, in addition to stimulating the activation of the immune cells [20], the hyperinsulinemia could possibly modulate the expression of ubiquitin in metabolically contributing to the pro-inflammatory burden of RA/T2D patients. Along with RA-FLSs, we observed that ubiquitin was expressed by synovial macrophages. This finding may furtherly suggest the central role of these cells in the cardiometabolic burden of RA, since they are associated with obesity and are activated by increased concentrations of glucose [28, 29]. Furthermore, APP, IRAK2, and OSMR resulted to be upregulated in RA/T2D patients than others suggesting an IL-1 pathway hyper-activity. All these genes are implicated in the amplification of IL-1β activity in inflammatory cascade, in RA-FLSs, and in diabetic islets [4, 18, 30, 31]. Altogether, our findings may provide a mechanistic explanation of the observed clinical benefits of IL-1 inhibition in RA/T2D patients [7,8,9]. In addition, further mechanisms may enhance the expression of IL-1β in diabetic islets [18]. In fact, free fatty acids (FFAs) may induce the production of IL-1β as well as the induction of IL-1β-dependent pro-inflammatory molecules in experimental models of diabetic islets [32, 33]. Interestingly, a combined stimulation of glucose and FFAs may lead to higher production of IL-1β in respect to the stimulation with FFAs alone [34]. On these bases, future studies are needed to evaluate the possible pathogenic role of FFAs in the context of RA/T2D in providing further insights about the influence of the metabolic burden in rheumatoid inflammatory milieu and activity of RA-FLSs.

Furthermore, the upregulation of IL6ST and the reduction of IL31RA may also suggest the involvement of IL-6 pathway. In fact, IL-6 is overexpressed in IR and impairs insulin action in liver and adipose tissue, although its inhibition produced a less marked reduction of glycaemic burden in RA/T2D patients [17, 35]. Our results also suggested the involvement of additional genes regulating fibroblast functions in RA/T2D patients (FGF7, FGF10, FRS2, FGFR3, and SOS1), thus paving the way of further studies targeting RA-FLSs [36].

Although providing pathogenic insights in the context of RA and comorbid T2D, our study has some limitations. The relatively small sample size may advocate a cautious interpretation of the data and may limit the generalization of the results. Therefore, the “hypothesis-generating” nature of our findings should be recognized. In fact, we exploratory assessed RA/T2D patients enrolled in PEAC cohort, which was not originally designed to these study purposes. The derived preliminary data may thus provide the rationale to perform additional specific studies to elucidate these findings. In fact, our hypothesis-driven approach was devoted to evaluating individual genes of interest, which could be flattened by the adjustment for multiple testing. In addition, the ubiquitin–proteasome system is one of the main pathways for protein turnover, which is essential for maintaining the cell homeostasis [37]. Consequently, the ubiquitination is tightly regulated at multiple levels and implicated in other critical cellular processes such as autophagy, mitophagy, cell-cycle control, metabolic pathways, DNA stability, repair, and replication [38, 39]. Therefore, additional possible mechanisms, to be fully explored, may be implicated in reducing the expression of the ubiquitin–proteasome system which we observed in RA/T2D patients. Moreover, the metabolic burden of RA/T2D could also lead to an increased degradation of ubiquitin which should be assessed in specific designed studies. Finally, considering the potential role of ubiquitin–proteasome in this context, its potential role as therapeutic target could be also hypothesized and tested [40].

Conclusions

In conclusion, a different IL-1 pathway gene expression was observed in the synovial tissues of early treatment-naïve RA/T2D patients, possibly linked to decreased expression of the ubiquitin–proteasome system. These findings may provide a potential mechanistic explanation of the observed clinical benefits of IL-1 inhibition in patients with RA and concomitant T2D, as the reduction of the ubiquitin–proteasome system may enhance the levels of precursor IL-1β and the production of bioactive IL-1β, making this cytokine a suitable target in RA/T2D patients. Taking together our “hypothesis-generating” findings, a basis may be provided for further confirmatory studies in fully evaluating the pathogenic steps involving both ubiquitin–proteasome system and IL-1β in RA/T2D patients.

Availability of data and materials

All data relevant to the study are included in the article.

Data Availability

No datasets were generated or analysed during the current study.

Abbreviations

RA:

Rheumatoid arthritis

bDMARDs:

Biologic disease-modifying antirheumatic drugs

IR:

Insulin resistance

T2D:

Type 2 diabetes

IL-1β:

Interleukin-1β

TNF:

Tumour necrosis factor

HbA1c%:

Glycated haemoglobin

RA-FLSs:

RA-fibroblast-like synoviocytes

PEAC:

Pathobiology of Early Arthritis Cohort

CD:

Cluster of differentiation

DMEM:

Dulbecco’s modification of Eagle medium

SDS-PAGE:

SDS polyacrylamide gel electrophoresis

FFAs :

Free fatty acids

References

  1. Nurmohamed MT, Heslinga M, Kitas GD. Cardiovascular comorbidity in rheumatic diseases. Nat Rev Rheumatol. 2015;11(12):693–704. https://doi.org/10.1038/nrrheum.2015.112. Epub 2015 Aug 18 PMID: 26282082.

    Article  PubMed  CAS  Google Scholar 

  2. Weber BN, Giles JT, Liao KP. Shared inflammatory pathways of rheumatoid arthritis and atherosclerotic cardiovascular disease. Nat Rev Rheumatol. 2023;19(7):417–28. https://doi.org/10.1038/s41584-023-00969-7. Epub 2023 May 25 PMID: 37231248.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Ruscitti P, Cipriani P, Liakouli V, Iacono D, Pantano I, Margiotta DPE, Navarini L, Destro Castaniti GM, Maruotti N, Di Scala G, Caso F, Bongiovanni S, Grembiale RD, Atzeni F, Scarpa R, Perosa F, Emmi G, Cantatore FP, Guggino G, Afeltra A, Ciccia F, Giacomelli R. Occurrence and predictive factors of high blood pressure, type 2 diabetes, and metabolic syndrome in rheumatoid arthritis: findings from a 3-year, multicentre, prospective, observational study. Clin Exp Rheumatol. 2021;39(5):995–1002 Epub 2020 Dec 4. PMID: 33337994.

    Article  PubMed  Google Scholar 

  4. Donath MY. Targeting inflammation in the treatment of type 2 diabetes: time to start. Nat Rev Drug Discov. 2014;13(6):465–76. https://doi.org/10.1038/nrd4275. Epub 2014 May 23 PMID: 24854413.

    Article  PubMed  CAS  Google Scholar 

  5. Giacomelli R, Ruscitti P, Alvaro S, Ciccia F, Liakouli V, Di Benedetto P, Guggino G, Berardicurti O, Carubbi F, Triolo G, Cipriani P. IL-1β at the crossroad between rheumatoid arthritis and type 2 diabetes: may we kill two birds with one stone? Expert Rev Clin Immunol. 2016;12(8):849–55. https://doi.org/10.1586/1744666X.2016.1168293. Epub 2016 Apr 12 PMID: 26999417.

    Article  PubMed  CAS  Google Scholar 

  6. Larsen CM, Faulenbach M, Vaag A, Vølund A, Ehses JA, Seifert B, Mandrup-Poulsen T, Donath MY. Interleukin-1-receptor antagonist in type 2 diabetes mellitus. N Engl J Med. 2007;356(15):1517–26. https://doi.org/10.1056/NEJMoa065213. PMID: 17429083.

    Article  PubMed  CAS  Google Scholar 

  7. Ruscitti P, Masedu F, Alvaro S, Airò P, Battafarano N, Cantarini L, Cantatore FP, Carlino G, D’Abrosca V, Frassi M, Frediani B, Iacono D, Liakouli V, Maggio R, Mulè R, Pantano I, Prevete I, Sinigaglia L, Valenti M, Viapiana O, Cipriani P, Giacomelli R. Anti-interleukin-1 treatment in patients with rheumatoid arthritis and type 2 diabetes (TRACK): A multicentre, open-label, randomised controlled trial. PLoS Med. 2019;16(9):e1002901. https://doi.org/10.1371/journal.pmed.1002901. PMID: 31513665; PMCID: PMC6742232.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Ruscitti P, Ursini F, Cipriani P, Greco M, Alvaro S, Vasiliki L, Di Benedetto P, Carubbi F, Berardicurti O, Gulletta E, De Sarro G, Giacomelli R. IL-1 inhibition improves insulin resistance and adipokines in rheumatoid arthritis patients with comorbid type 2 diabetes: an observational study. Medicine (Baltimore). 2019;98(7):e14587. https://doi.org/10.1097/MD.0000000000014587. PMID: 30762811; PMCID: PMC6408058.

    Article  PubMed  CAS  Google Scholar 

  9. Ruscitti P, Berardicurti O, Cipriani P, Giacomelli R, TRACK study group. Benefits of anakinra versus TNF inhibitors in rheumatoid arthritis and type 2 diabetes: long-term findings from participants furtherly followed-up in the TRACK study, a multicentre, open-label, randomised, controlled trial. Clin Exp Rheumatol. 2021;39(2):403–6. https://doi.org/10.55563/clinexprheumatol/phsqg7. Epub 2021 Mar 3. PMID: 33666156.

    Article  PubMed  Google Scholar 

  10. Dinarello CA. The IL-1 family of cytokines and receptors in rheumatic diseases. Nat Rev Rheumatol. 2019;15(10):612–32. https://doi.org/10.1038/s41584-019-0277-8. Epub 2019 Sep 12 PMID: 31515542.

    Article  PubMed  CAS  Google Scholar 

  11. Ciechanover A. The unravelling of the ubiquitin system. Nat Rev Mol Cell Biol. 2015;16(5):322–4. https://doi.org/10.1038/nrm3982. PMID: 25907614.

    Article  PubMed  CAS  Google Scholar 

  12. Lopez-Castejon G. Control of the inflammasome by the ubiquitin system. FEBS J. 2020;287(1):11–26. https://doi.org/10.1111/febs.15118. Epub 2019 Nov 20. PMID: 31679183; PMCID: PMC7138099.

    Article  PubMed  CAS  Google Scholar 

  13. Kattah MG, Malynn BA, Ma A. Ubiquitin-Modifying Enzymes and Regulation of the Inflammasome. J Mol Biol. 2017;429(22):3471–85. https://doi.org/10.1016/j.jmb.2017.10.001. Epub 2017 Oct 13. PMID: 29031697; PMCID: PMC5675782.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Lewis MJ, Barnes MR, Blighe K, Goldmann K, Rana S, Hackney JA, Ramamoorthi N, John CR, Watson DS, Kummerfeld SK, Hands R, Riahi S, Rocher-Ros V, Rivellese F, Humby F, Kelly S, Bombardieri M, Ng N, DiCicco M, van der Heijde D, Landewé R, van der Helm-van MA, Cauli A, McInnes IB, Buckley CD, Choy E, Taylor PC, Townsend MJ, Pitzalis C. Molecular portraits of early rheumatoid arthritis identify clinical and treatment response phenotypes. Cell Rep. 2019;28(9):2455–2470.e5. https://doi.org/10.1016/j.celrep.2019.07.091. PMID: 31461658; PMCID: PMC6718830.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  15. Humby F, Lewis M, Ramamoorthi N, Hackney JA, Barnes MR, Bombardieri M, Setiadi AF, Kelly S, Bene F, DiCicco M, Riahi S, Rocher V, Ng N, Lazarou I, Hands R, van der Heijde D, Landewé RBM, van der Helm-van Mil A, Cauli A, McInnes I, Buckley CD, Choy EH, Taylor PC, Townsend MJ, Pitzalis C. Synovial cellular and molecular signatures stratify clinical response to csDMARD therapy and predict radiographic progression in early rheumatoid arthritis patients. Ann Rheum Dis. 2019;78(6):761–72. https://doi.org/10.1136/annrheumdis-2018-214539. Epub 2019 Mar 16. PMID: 30878974; PMCID: PMC6579551.

    Article  PubMed  CAS  Google Scholar 

  16. Lliso-Ribera G, Humby F, Lewis M, Nerviani A, Mauro D, Rivellese F, Kelly S, Hands R, Bene F, Ramamoorthi N, Hackney JA, Cauli A, Choy EH, Filer A, Taylor PC, McInnes I, Townsend MJ, Pitzalis C. Synovial tissue signatures enhance clinical classification and prognostic/treatment response algorithms in early inflammatory arthritis and predict requirement for subsequent biological therapy: results from the pathobiology of early arthritis cohort (PEAC). Ann Rheum Dis. 2019;78(12):1642–52. https://doi.org/10.1136/annrheumdis-2019-215751.

    Article  PubMed  CAS  Google Scholar 

  17. Fève B, Bastard JP. The role of interleukins in insulin resistance and type 2 diabetes mellitus. Nat Rev Endocrinol. 2009;5(6):305–11. https://doi.org/10.1038/nrendo.2009.62. PMID: 19399017.

    Article  PubMed  CAS  Google Scholar 

  18. Donath MY, Shoelson SE. Type 2 diabetes as an inflammatory disease. Nat Rev Immunol. 2011;11(2):98–107. https://doi.org/10.1038/nri2925. Epub 2011 Jan 14 PMID: 21233852.

    Article  PubMed  CAS  Google Scholar 

  19. McInnes IB, Schett G. Pathogenetic insights from the treatment of rheumatoid arthritis. Lancet. 2017;389(10086):2328–37. https://doi.org/10.1016/S0140-6736(17)31472-1. PMID: 28612747.

    Article  PubMed  CAS  Google Scholar 

  20. Tripolino C, Ciaffi J, Pucino V, Ruscitti P, van Leeuwen N, Borghi C, Giacomelli R, Meliconi R, Ursini F. Insulin signaling in arthritis. Front Immunol. 2021;30(12):672519. https://doi.org/10.3389/fimmu.2021.672519. PMID: 33995414; PMCID: PMC8119635.

    Article  CAS  Google Scholar 

  21. Rivellese F, Humby F, Bugatti S, Fossati-Jimack L, Rizvi H, Lucchesi D, Lliso-Ribera G, Nerviani A, Hands RE, Giorli G, Frias B, Thorborn G, Jaworska E, John C, Goldmann K, Lewis MJ, Manzo A, Bombardieri M, Pitzalis C, PEAC-R4RA Investigators. B cell synovitis and clinical phenotypes in rheumatoid arthritis: relationship to disease stages and drug exposure. Arthritis Rheumatol. 2020;72(5):714–25. https://doi.org/10.1002/art.41184.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  22. Humby F, Durez P, Buch MH, Lewis MJ, Rizvi H, Rivellese F, Nerviani A, Giorli G, Mahto A, Montecucco C, Lauwerys B, Ng N, Ho P, Bombardieri M, Romão VC, Verschueren P, Kelly S, Sainaghi PP, Gendi N, Dasgupta B, Cauli A, Reynolds P, Cañete JD, Moots R, Taylor PC, Edwards CJ, Isaacs J, Sasieni P, Choy E, Pitzalis C, R4RA collaborative group. Rituximab versus tocilizumab in anti-TNF inadequate responder patients with rheumatoid arthritis (R4RA): 16-week outcomes of a stratified, biopsy-driven, multicentre, open-label, phase 4 randomised controlled trial. Lancet. 2021;397(10271):305–17. https://doi.org/10.1016/S0140-6736(20)32341-2. PMID: 33485455; PMCID: PMC7829614.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. Rivellese F, Surace AEA, Goldmann K, Sciacca E, Çubuk C, Giorli G, John CR, Nerviani A, Fossati-Jimack L, Thorborn G, Ahmed M, Prediletto E, Church SE, Hudson BM, Warren SE, McKeigue PM, Humby F, Bombardieri M, Barnes MR, Lewis MJ, Pitzalis C, R4RA collaborative group. Rituximab versus tocilizumab in rheumatoid arthritis: synovial biopsy-based biomarker analysis of the phase 4 R4RA randomized trial. Nat Med. 2022;28(6):1256–68. https://doi.org/10.1038/s41591-022-01789-0. Epub 2022 May 19. PMID: 35589854; PMCID: PMC9205785.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. Giacomelli R, Afeltra A, Bartoloni E, Berardicurti O, Bombardieri M, Bortoluzzi A, Carubbi F, Caso F, Cervera R, Ciccia F, Cipriani P, Coloma-Bazán E, Conti F, Costa L, D’Angelo S, Distler O, Feist E, Foulquier N, Gabini M, Gerber V, Gerli R, Grembiale RD, Guggino G, Hoxha A, Iagnocco A, Jordan S, Kahaleh B, Lauper K, Liakouli V, Lubrano E, Margiotta D, Naty S, Navarini L, Perosa F, Perricone C, Perricone R, Prete M, Pers JO, Pitzalis C, Priori R, Rivellese F, Ruffatti A, Ruscitti P, Scarpa R, Shoenfeld Y, Triolo G, Tzioufas A. The growing role of precision medicine for the treatment of autoimmune diseases; results of a systematic review of literature and Experts’ Consensus. Autoimmun Rev. 2021;20(2):102738. https://doi.org/10.1016/j.autrev.2020.102738. Epub 2020 Dec 14. PMID: 33326854.

    Article  PubMed  CAS  Google Scholar 

  25. Pitzalis C, Choy EHS, Buch MH. Transforming clinical trials in rheumatology: towards patient centric precision medicine. Nat Rev Rheumatol. 2020;16(10):590–9. https://doi.org/10.1038/s41584-020-0491-4. Epub 2020 Sep 4 PMID: 32887976.

    Article  PubMed  Google Scholar 

  26. Vijayaraj SL, Feltham R, Rashidi M, Frank D, Liu Z, Simpson DS, Ebert G, Vince A, Herold MJ, Kueh A, Pearson JS, Dagley LF, Murphy JM, Webb AI, Lawlor KE, Vince JE. The ubiquitylation of IL-1β limits its cleavage by caspase-1 and targets it for proteasomal degradation. Nat Commun. 2021;12(1):2713. https://doi.org/10.1038/s41467-021-22979-3. PMID: 33976225; PMCID: PMC8113568.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  27. Zhang L, Liu Y, Wang B, Xu G, Yang Z, Tang M, Ma A, Jing T, Xu X, Zhang X, Liu Y. POH1 deubiquitinates pro-interleukin-1β and restricts inflammasome activity. Nat Commun. 2018;9(1):4225. https://doi.org/10.1038/s41467-018-06455-z. PMID: 30315153; PMCID: PMC6185913.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  28. Alivernini S, Tolusso B, Gigante MR, Petricca L, Bui L, Fedele AL, Di Mario C, Benvenuto R, Federico F, Ferraccioli G, Gremese E. Overweight/obesity affects histological features and inflammatory gene signature of synovial membrane of Rheumatoid Arthritis. Sci Rep. 2019;9(1):10420. https://doi.org/10.1038/s41598-019-46927-w. PMID: 31320744; PMCID: PMC6639364.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  29. Ruscitti P, Cipriani P, Di Benedetto P, Liakouli V, Berardicurti O, Carubbi F, Ciccia F, Alvaro S, Triolo G, Giacomelli R. Monocytes from patients with rheumatoid arthritis and type 2 diabetes mellitus display an increased production of interleukin (IL)-1β via the nucleotide-binding domain and leucine-rich repeat containing family pyrin 3(NLRP3)-inflammasome activation: a possible implication for therapeutic decision in these patients. Clin Exp Immunol. 2015;182(1):35–44. https://doi.org/10.1111/cei.12667. Epub 2015 Jul 19. PMID: 26095630; PMCID: PMC4578506.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  30. Le Goff B, Singbrant S, Tonkin BA, Martin TJ, Romas E, Sims NA, Walsh NC. Oncostatin M acting via OSMR, augments the actions of IL-1 and TNF in synovial fibroblasts. Cytokine. 2014;68(2):101–9. https://doi.org/10.1016/j.cyto.2014.04.001. Epub 2014 Apr 22 PMID: 24767864.

    Article  PubMed  CAS  Google Scholar 

  31. Su LC, Xu WD, Huang AF. IRAK family in inflammatory autoimmune diseases. Autoimmun Rev. 2020;19(3):102461. https://doi.org/10.1016/j.autrev.2020.102461. Epub 2020 Jan 7. PMID:31917263.

    Article  PubMed  CAS  Google Scholar 

  32. Böni-Schnetzler M, Thorne J, Parnaud G, Marselli L, Ehses JA, Kerr-Conte J, Pattou F, Halban PA, Weir GC, Donath MY. Increased interleukin (IL)-1beta messenger ribonucleic acid expression in beta -cells of individuals with type 2 diabetes and regulation of IL-1beta in human islets by glucose and autostimulation. J Clin Endocrinol Metab. 2008;93(10):4065–74. https://doi.org/10.1210/jc.2008-0396. Epub 2008 Jul 29. PMID: 18664535; PMCID: PMC2579638.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  33. Ehses JA, Meier DT, Wueest S, Rytka J, Boller S, Wielinga PY, Schraenen A, Lemaire K, Debray S, Van Lommel L, Pospisilik JA, Tschopp O, Schultze SM, Malipiero U, Esterbauer H, Ellingsgaard H, Rütti S, Schuit FC, Lutz TA, Böni-Schnetzler M, Konrad D, Donath MY. Toll-like receptor 2-deficient mice are protected from insulin resistance and beta cell dysfunction induced by a high-fat diet. Diabetologia. 2010;53(8):1795–806. https://doi.org/10.1007/s00125-010-1747-3. Epub 2010 Apr 21 PMID: 20407745.

    Article  PubMed  CAS  Google Scholar 

  34. Böni-Schnetzler M, Boller S, Debray S, Bouzakri K, Meier DT, Prazak R, Kerr-Conte J, Pattou F, Ehses JA, Schuit FC, Donath MY. Free fatty acids induce a proinflammatory response in islets via the abundantly expressed interleukin-1 receptor I. Endocrinology. 2009;150(12):5218–29. https://doi.org/10.1210/en.2009-0543. Epub 2009 Oct 9 PMID: 19819943.

    Article  PubMed  CAS  Google Scholar 

  35. Genovese MC, Burmester GR, Hagino O, Thangavelu K, Iglesias-Rodriguez M, John GS, González-Gay MA, Mandrup-Poulsen T, Fleischmann R. Interleukin-6 receptor blockade or TNFα inhibition for reducing glycaemia in patients with RA and diabetes: post hoc analyses of three randomised, controlled trials. Arthritis Res Ther. 2020;22(1):206. https://doi.org/10.1186/s13075-020-02229-5. PMID: 32907617; PMCID: PMC7488252.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Deng J, Liu Y, Liu Y, Li W, Nie X. The multiple roles of fibroblast growth factor in diabetic nephropathy. J Inflamm Res. 2021;14(14):5273–90. https://doi.org/10.2147/JIR.S334996. PMID: 34703268; PMCID: PMC8524061.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  37. Zhang X, Smits AH, van Tilburg GB, Jansen PW, Makowski MM, Ovaa H, Vermeulen M. An interaction landscape of ubiquitin signaling. Mol Cell. 2017;65(5):941–955.e8. https://doi.org/10.1016/j.molcel.2017.01.004. Epub 2017 Feb 9 PMID: 28190767.

    Article  PubMed  CAS  Google Scholar 

  38. Nag J, Patel J, Tripathi S. Ubiquitin-mediated regulation of autophagy during viral infection. Curr Clin Microbiol Rep. 2023;10(1):1–8. https://doi.org/10.1007/s40588-022-00186-y. Epub 2023 Jan 13. PMID: 36685070; PMCID: PMC9839220.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Bhat SA, Vasi Z, Adhikari R, Gudur A, Ali A, Jiang L, Ferguson R, Liang D, Kuchay S. Ubiquitin proteasome system in immune regulation and therapeutics. Curr Opin Pharmacol. 2022;67:102310. https://doi.org/10.1016/j.coph.2022.102310. Epub 2022 Oct 23. PMID: 36288660; PMCID: PMC10163937.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  40. Liu Z, Wang P, Zhao Y, Po Lai K, Li R. Biomedical importance of the ubiquitin-proteasome system in diabetes and metabolic transdifferentiation of pancreatic duct epithelial cells into β-cells. Gene. 2023;30(858):147191. https://doi.org/10.1016/j.gene.2023.147191.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

None

Funding

The work on PEAC cohort acknowledges the support of the National Institute for Health Research Barts Biomedical Research Centre (NIHR203330). In vitro experiments acknowledge the support of PRIN 2022 (2022AT8STS, C53D23000580008).

Author information

Authors and Affiliations

Authors

Contributions

All authors made substantial contributions to the conception or design of the work, the acquisition and interpretation of data. PR and FR prepared Fig. 1. PR and DC prepared Fig. 2. MV prepared Fig. 3. PR wrote the initial draft of the manuscript. All authors contributed to the critical review and revision of the manuscript and approved the final version. All the authors agreed to be accountable for all aspects of the work.

Corresponding author

Correspondence to Piero Ruscitti.

Ethics declarations

Ethics approval and consent to participate

All patients provided written informed consent, and the study received local ethics approval (PEAC LREC: 05/Q0703/198).

Consent for publication

Not applicable, all the patients’ data are de-identified.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ruscitti, P., Currado, D., Rivellese, F. et al. Diminished expression of the ubiquitin-proteasome system in early treatment-naïve patients with rheumatoid arthritis and concomitant type 2 diabetes may be linked to IL-1 pathway hyper-activity; results from PEAC cohort. Arthritis Res Ther 26, 171 (2024). https://doi.org/10.1186/s13075-024-03392-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13075-024-03392-9

Keywords