Rheumatology

Background. Tocilizumab (TCZ), a monoclonal antibody directed against the interleukin-6 receptor, is used in rheumatoid arthritis (RA) after inadequate response or secondary loss of response to conventional synthetic and biological disease-modifying antirheumatic drugs (DMARDs). Real-world data from North African cohorts remain scarce. We assessed the effectiveness and safety of TCZ in routine care and explored baseline factors associated with 6-month outcomes. Methods. We conducted a retrospective, single-centre cohort study of 44 consecutive patients with RA treated with TCZ between April 2019 and January 2024 in the Department of Rheumatology, Moulay Ismail Hospital, Meknes, Morocco. Demographic, clinical, laboratory, treatment and follow-up data were extracted from medical records using a standardised electronic form. The primary effectiveness outcome was the European Alliance of Associations for Rheumatology (EULAR) response at 6 months; DAS28-ESR remission was defined as DAS28-ESR below 2.6. Safety outcomes comprised infections, neutropenia, liver-enzyme abnormalities and lipid abnormalities. Longitudinal changes were compared with the Wilcoxon signed-rank test, and associations between baseline variables dichotomised at their median and 6-month outcomes were examined with chi-square tests, in SPSS version 29. Results. The cohort comprised 33 women (75.0%), with a median age of 57 years (range 32-82) and a mean RA duration of 12.97+/-9.1 years. Patients had received a mean of 2.5+/-1.8 previous conventional DMARDs, and 41 (93.2%) had received at least one previous biological agent, including two or more tumour necrosis factor (TNF) inhibitors in 36 (81.8%). At 6 months, outcome data were available for 34 patients: 23 (67.6%) achieved a good EULAR response, 6 (17.6%) a moderate response and 5 (14.7%) no response; 12 (35.3%) were in DAS28-ESR remission. Mean DAS28-ESR fell from 5.10+/-1.18 at baseline to 2.74+/-1.38 at 6 months and 2.45+/-1.33 at 12 months, and the mean prednisone-equivalent dose fell from 8.3+/-7.1 to 5 mg/day. Twenty-two infectious episodes were recorded, including one serious infection (purulent pleurisy) requiring hospitalisation; 5 patients (11.4%) had a temporary interruption and 1 (2.3%) a permanent discontinuation for hepatic cytolysis. A neutrophil count below 1,500/mm3 occurred in 13 patients (29.5%), with no count below 1,000/mm3, while mean neutrophils declined from 6.3+/-3.0 to 2.6+/-1.2 G/L at 12 months. Mean LDL cholesterol rose from 1.18 to 1.49 g/L and HDL cholesterol from 0.58 to 0.82 g/L. Rheumatoid-factor positivity was the only baseline variable associated with the EULAR response category (p=0.007); a baseline tender joint count above six was associated with a lower remission rate (23.5%, p=0.007), as was, borderline, a pain visual analogue scale above 65 mm (31.2%, p=0.05). Conclusions. In this heavily pretreated real-world RA cohort, TCZ was associated with a substantial and sustained reduction in disease activity and a manageable safety profile consistent with its known signals. A high baseline articular and pain burden was associated with a lower probability of remission. The small sample, incomplete 6-month follow-up, retrospective design and absence of adjusted effect estimates limit interpretation, and the reported associations should be regarded as hypothesis-generating.

Background: Smartphone enabled remote patient monitoring has the potential to complement conventional follow-up in inflammatory arthritis. We previously presented the finger fold index (FFI) derived from hand photographs as ratio of automated detected proximal interphalangeal (PIP) joint diameter and surface of dorsal finger folds as a digital biomarker for clinical joint swelling and disease activity in rheumatoid arthritis (RA) and psoriatic arthritis (PsA). Objective: To evaluate the feasibility, image quality, patient engagement, and clinical utility of both HCP- and patient-collected hand photographs integrated into a national rheumatology registry, and to assess the performance of the FFI as an image-derived digital biomarker for clinical joint swelling of the proximal interphalangeal joints in a real-world arthritis cohort. Methods: In this longitudinal multicenter study, a photo function with written instructions were integrated into the Swiss Clinical Quality Management in Rheumatic Diseases (SCQM) registry and their mySCQM mobile application, respectively. Patients with RA or PsA contributed longitudinal smartphone photographs together with patient-reported outcomes (PROs) via the mySCQM mobile application while health care professionals (HCPs) acquired images during routine visits. After manual quality assessment, images were processed using an automated computer vision pipeline to derive the FFI, a digital biomarker based on dorsal finger-fold morphology. Image quality was evaluated for both HCP- and participant-collected photographs, and patient engagement was assessed. Associations between FFI, clinical proximal interphalangeal (PIP) joint swelling, RADAI-5, DAS28-CRP and longitudinal changes were assessed. A generalized linear mixed model was used to estimate the association between FFI and joint swelling while accounting for repeated measures and within-subject correlations. Results: Between 2023 and 2025, 374 RA and PsA patients were included. HCPs captured 977 hand images while 174 patients collected 1228 hand images via the mySCQM app. Patients demonstrated sustained engagement after instruction, contributing a mean of seven images during data collection. Following quality control, 1729 hand images comprising 4048 PIP joints were included for analysis. Image quality was comparable between patient-acquired and HCP-acquired photographs; 78.3% of the patient-acquired vs. 73.5% of the HCP-acquired hand images were suitable to run the ML-model. 23.1% of the cropped joints had to be removed after the running of the FFI algorithm due to false diameter or finger fold detection e.g. due to wrong hand positioning. In images taken by HCPs, mean FFI and DAS28-CRP were weakly but significantly correlated (Spearmans {rho} = 0.164; 95% CI [0.004 to 0.317]; p = 0.039). Conversely, RADAI-5 scores did not correlate with the mean FFI in RA patients (r = 0.007, p = 0.932, 95% CI [-0.169-0.183]). At follow-up visits, clinical swelling resolved in 40 joints, of which in 68.0% the direction of the delta FFI was concordant with the clinical change. In contrast, 13 joints developed incident clinical swelling, of which 87.5% had a direction of the delta FFI that was concordant with the clinical change. However, the GLMM showed no significant associations between swelling and joint location or time-varying FFI, and no evidence of interaction between FFI and PIP joint. Conclusion: Integration of patient self-imaging into a remote monitoring application for inflammatory arthritis is feasible and achieves image quality comparable to clinician acquired photographs. The FFI derived from collected images shows association with clinical joint swelling and disease activity scores, but not PROs. In a substantial proportion of images, the FFI algorithm could not be applied because of insufficient image quality. More standardized image acquisition and further refinement of the FFI algorithm are warranted.

Abstract Background Rheumatoid arthritis (RA) is an autoimmune inflammatory disease with complex and incompletely understood molecular mechanisms. Understanding circulating proteins associated with RA may improve understanding of disease biology and clarify its pathological links with cardiometabolic comorbidities. Methods A proteome-wide two-sample Mendelian randomisation (MR) drug target analysis was conducted using plasma proteins measured in 54,219 participants from the UK Biobank Pharma Proteomics Project as exposures and RA and cardiometabolic diseases as the outcomes. Summary statistics for RA included 53,663 cases and 1,070,200 controls. Colocalisation analysis was performed to confirm shared single causal variants and prioritise RA proteins supported by both MR and colocalisation. The prioritised proteins were then evaluated in the Accelerating Medicines Partnership RA Phase II synovial single-cell dataset for cell-type expression patterns. Druggability was then assessed followed by analysis of genetic overlap between RA-associated proteins and cardiometabolic diseases. Results 37 plasma proteins had a causal effect on RA risk, supported by combined evidence from MR and conditional colocalisation. In synovial tissue, TPPP3, RARRES2, AKAP12, and GGT5 were predominantly expressed in stromal and endothelial cell clusters. Druggability assessment identified IFNGR2, IL6R, CD40, and FCGR2B as Tier 1 targets. However, several biologically relevant proteins, including RARRES2, AKAP12, TPPP3, and SNX2, had limited available druggability data. Genetic overlap analysis demonstrated shared protein signals between RA and cardiovascular diseases, including overlap of RARRES2 and TPPP3 with coronary artery disease (CAD) and FCGR2B with atrial fibrillation (AF). To approximate the therapeutic effect of target inhibition, the direction of effect estimates for proteins showing overlap between RA-CAD and RA-AF was reversed. Conclusion This study identified circulating proteins involved in RA pathogenesis and reveals shared mechanisms between RA and cardiovascular diseases. While some proteins showed clear translational potential targets, several prioritised proteins had limited available druggability information and could not be confidently classified. Addressing these gaps may help identify new targets relevant to RA management. Future work should also use phenome-wide MR studies to evaluate potential on-target adverse effects of protein inhibition across RA-CAD and RA-AF.

Background The phase 3 ADVOCATE trial evaluated the efficacy and safety of avacopan in patients with granulomatosis with polyangiitis (GPA) or microscopic polyangiitis (MPA). Concerns raised regarding the 2019 primary endpoint adjudication process prompted a blinded, independent readjudication of all participants' primary outcomes, the results of which are described here. Methods Patients with GPA or MPA were randomized 1:1 to receive oral avacopan 30 mg twice daily or oral prednisone on a scheduled taper, each in combination with rituximab- or cyclophosphamide-based standard of care. In 2026, the Duke Clinical Research Institute Clinical Events Classification group conducted an independent, blinded committee re-adjudicated the Birmingham Vasculitis Activity Score (BVAS), relapse, and remission from weeks 26 through 52 using procedures aligned with the original adjudication charter. The primary endpoints were remission at week 26 and sustained remission at week 52. As per the original analysis plan, noninferiority and superiority were declared if the lower bounds of the 95% confidence interval (CI) for the difference in the primary outcome rates between avacopan and a prednisone taper were greater than -20.0 and 0.0 percentage points, respectively. Results Among 330 participants in the intent-to-treat population, remission at week 26 was achieved by 68.1% (113/166) and 67.1% (110/164) of participants in the avacopan and prednisone taper groups, respectively, in the 2026 readjudication (adjusted difference: 2.2%; 95% CI, -7.5, 11.9), compared with 72.3% (120/166) and 70.1% (115/164) in the 2019 primary outcome adjudication (adjusted difference: 3.4%; 95% CI, -6.0, 12.8). Sustained remission at week 52 was achieved by 61.4% (102/166) and 52.4% (86/164) of participants, respectively, in the 2026 readjudication (adjusted difference: 9.8%; 95% CI, -0.3, 19.9), compared with 65.7% (109/166) and 54.9% (90/164) in the 2019 readjudication (adjusted difference: 12.5%; 95% CI, 2.6, 22.3). Concordance between the 2019 and 2026 adjudications was 95.2% for remission and 93.6% for sustained remission. Conclusion The re-analysis of ADVOCATE based on the 2026 readjudication further supports the efficacy of avacopan for GPA/MPA. Non-inferiority of avacopan versus a prednisone taper was confirmed at weeks 26 and 52 despite a median 81% reduction in glucocorticoid exposure observed in the avacopan versus prednisone taper groups. While a consistent numerical difference favoring avacopan at week 52 was observed in the 2019 and 2026 analyses, this difference did not reach statistical superiority.

Background: Interstitial lung disease (ILD) is one of the most common and potentially most devastating extra-articular complication of rheumatoid arthritis (RA) and is associated with substantial morbidity and mortality. However, reliable tools for the early identification of ILD in patients with RA remain limited. This study aimed to identify plasma protein biomarkers of RA-ILD and develop an interpretable machine learning model for risk prediction using data from the UK Biobank. Methods: We first evaluated the association between baseline RA and the risk of incident ILD in the UK Biobank using Cox proportional hazards models. Mendelian randomization analysis was then performed to investigate the potential causal relationship between RA and ILD. Finally, we analyzed 2,920 plasma proteins measured using the Olink platform in 781 eligible RA patients. Proteins associated with ILD risk were identified using Cox proportional hazards models and subsequently used to construct eight machine learning models. Model performance was assessed using the receiver operating characteristic curve (ROC) and decision curve analysis. The best-performing model was further interpreted using Shapley additive explanations (SHAP) to evaluate feature importance. Results: Compared with participants without RA, Patients with baseline RA had a significantly higher risk of developing ILD (Hazard ratio: 4.425, 95% CI: 3.549,5.518). The MR supported a potential causal association between RA and ILD (Odds ratio: 1.227, 95% CI: 1.121,1.343). Among the eight machine learning models, the CatBoost model showed the best performance, achieving an area under the curve (AUC) of 0.884 (95% CI: 0.773,0.996). The SHAP analysis identified LAG3, NPC2, and LAMP3 are the three most important plasma protein predictors of ILD development in patients with RA. Conclusion: Plasma proteomics combined with machine learning may provide a promising approach for identifying biomarkers and predicting ILD risk in patients with RA. LAG3, NPC2, and LAMP3 may serve as candidate biomarkers for RA-ILD and warrant further validation. Keywords: Rheumatoid arthritis, Interstitial lung disease, Mendelian randomization, Machine learning, Plasma proteins.

Background: Anti-synthetase syndrome (ASyS) is a subgroup of idiopathic inflammatory myopathies that is increasingly recognized as a distinct entity with features of myositis, interstitial lung disease, inflammatory arthritis, and Raynaud phenomenon. Co-reactivity with anti-Ro-52, an antibody directed against the Ro-52 E3 ubiquitin ligase, has been shown to be associated with progressive interstitial lung disease within this patient population. However, less is known regarding the association of anti-Ro-52 positivity with cardiovascular outcomes. Methods: A sub-cohort of patients with anti-synthetase antibodies at a large single institution center was retrospectively analyzed to define presence of anti-Ro-52 positivity (defined as anti-Ro-52 titer greater than or equal to 11 utilizing the line immunoblot platform, Euroline Autoimmune Inflammatory Myopathies, EuroImmun Diagnostics, Lubeck, Germany). Patients who did not meet 2017 ACR/EULAR classification criteria for idiopathic inflammatory myopathies were excluded from the final analysis. Cardiovascular outcomes ascertained via retrospective chart review included atrial fibrillation, left bundle branch block, right bundle branch block, pulmonary hypertension (confirmed via right heart catheterization), heart failure with reduced ejection fraction (HFrEF, defined as ejection fraction less than or equal to 40 percent), acute coronary syndrome (based on clinical diagnosis and angiography if available), and myocarditis (based on clinician diagnosis and either cardiac MRI or troponin elevation). When a pre-specified cardiac outcome was identified, the date of onset was recorded. Differences in proportions were analyzed via Chi-squared and Fishers exact tests, and time-to-event analyses were performed via Cox Proportional Hazards Models, incorporating a false discovery rate correction for multiple outcomes. All analyses were performed using SAS v9.4. Results: 88 patients were included in the final analysis, of whom 69 (78.4 percent) were categorized as anti-Ro-52 positive. Patients with anti-Ro-52 positivity had a higher maximum recorded serum creatine kinase (median 1297 vs 395 units per liter, p = 0.042). No significant associations between anti-Ro-52 positivity and the pre-defined cardiovascular outcomes were found over median follow up time of 12.5 years. Conclusions: In a large, single-center cohort of patients with ASyS, anti-Ro-52 positivity was not associated with an increased burden of negative cardiovascular outcomes, including the onset of pulmonary hypertension. Future studies may seek to further elucidate the mechanisms underlying the pleiotropic effects of anti-Ro-52 antibodies on the cardiopulmonary system.

Objectives To evaluate whether access to a certified large language model (LLM)-based clinical decision support system improves physician diagnostic performance in rheumatology compared with conventional diagnostic resources alone. Methods In this multicentre, open-label, randomised controlled trial, 82 physicians from seven hospitals in two countries were randomised 1:1 to conventional diagnostic resources plus Prof. Valmed or conventional resources alone. Participants assessed three rheumatology vignettes before and after assistance. The primary outcome was top-1 diagnostic accuracy. Secondary outcomes included top-3 accuracy, diagnostic reasoning, confidence, case-processing time and perceived support quality. Results Top-1 accuracy increased from 22.2% to 33.3% in the intervention group and from 23.3% to 35.0% in the control group, with no between-group difference in improvement (adjusted OR 0.99, 95% CI 0.45 to 2.19; p=0.979). Differences in top-3 accuracy, diagnostic reasoning and confidence were also not significant. Assisted case-processing time was substantially shorter with LLM support (94 vs 206 s; adjusted mean difference -112 s, 95% CI -141 to -83; p<0.001). Information timeliness and perceived diagnostic support quality were rated significantly higher in the intervention group. Exploratory analyses showed persistent overconfidence and substantial AI over-reliance. Conclusions Certified LLM-based diagnostic support did not improve diagnostic accuracy compared with conventional resources, but substantially reduced case-processing time and improved perceived support quality. These findings suggest potential workflow benefits while highlighting overconfidence and over-reliance as important safety considerations.

Abstract Background: Immune-mediated inflammatory diseases (IMIDs) are associated with increased risk of cardiometabolic diseases. Investigating genetic overlap among these conditions can provide insights into their clinical management. Methods: Genetic correlation was assessed using linkage disequilibrium score regression (LDSC). Then, a meta-analysis was conducted using Association Analysis Based on SubSETs (ASSET) to pinpoint independent single nucleotide polymorphisms (SNPs) shared across the diseases. Each independent SNP was then used to define a genomic window (+/-500KB) for colocalisation analysis and Local Analysis of [co]Variant Association (LAVA) to offer multiple layers of regional pleiotropic evidence. Over-representation analysis was then run to identify enriched biological pathways, which then were used for drug target analysis. Results: The LDSC analysis showed a significant global genetic correlation for rheumatoid arthritis (RA) and cardiometabolic diseases including hypertension, coronary artery disease (CAD), heart failure (HF), stroke, atrial fibrillation (AF), and type two diabetes mellitus (T2DM) ranging from rg = 0.09 to 0.24. ASSET meta-analysis identified 164 independent SNPs shared across RA and the cardiometabolic diseases with P < 5 x 10- in the overall one-sided meta-analysis P-value, FDR < 0.05 in both individual GWASs, and TRUE phenotype matrix. Colocalisation analysis revealed multiple loci with strong evidence (Posterior probabilities [&ge;] 80) of single causal SNPs between the trait pairs. LAVA analysis was then used as an additional layer of confirmation for the findings generated by ASSET and colocalisation and thus several loci were highlighted. Over-representation analysis showed significant enriched immune-related pathways across RA-hypertension, RA-CAD, RA-AF, and RA-T2DM trait pairs. Drug target analysis highlighted several drugs which could be further tested for their effectiveness in RA and its common comorbidities. Conclusion: The findings revealed a shared genetic architecture and key immune-related biological pathways underlying RA and its associated cardiometabolic comorbidities. The identified genes and drugs provide opportunities for further therapeutic assessment which could improve clinical management strategies.

Objective: The Brief-cope questionnaire explore coping behavior. However, the underlying factor structure remains a subject of ongoing debate. Exploratory factor analyses (EFA) conducted across different populations have identified factor solutions ranging from two to fourteen factors. As of yet, the underlying factor structure of the Brief-cope has not been investigated in patients with seropositive rheumatoid arthritis (RA). Therefore, the aim of this study was to explore the underlying factor structure of the Brief-cope in a German population of seropositive RA. Methods: 216 outpatients with seropositive RA completed the Brief-cope. An EFA with principal axis factoring and Promax rotation was conducted. Results: EFA indicated a five-factor solution. The five-factor solution explained 51.95% of variance. The identified factors were: (1) problem-focused coping (Cronbach's = .851), (2) emotion-focused coping ( = .754), (3) maladaptive coping ( = .747), (4) religious coping ( = .851), and (5) substance-use coping ( = .869). Conclusion: A five-factor solution provided the most appropriate representation of the underlying factor structure of the Brief-cope in patients with seropositive RA. This factor structure may serve as a suitable basis for future analyses of Brief-cope data in comparable RA populations.

Background: Psoriatic arthritis (PsA) is an inflammatory condition involving joints, tendon-bone entheses and synovium that can develop in individuals with psoriasis. Early, accurate clinical diagnosis remains difficult. Extracellular vesicles (EVs) carry proteins and miRNAs that Methods: PubMed and Embase were searched from inception through May 21st, 2026, and human studies examining EV-associated protein or miRNA biomarkers in PsA and related psoriatic or inflammatory diseases were included, with risk of bias assessed using a modified Newcastle-Ottawa Scale and diagnostic accuracy summarized using HSROC/BRMA models when data were sufficient. Results: Seven studies met the inclusion criteria, including 119 individuals with PsA (weighted mean age: 49.8 years; 43.7% female), 205 individuals with non-PsA psoriasis (weighted mean age: 46.4 years; female %: NA), 55 controls (weighted mean age: 44.5 years; 38.2% female), and 50 individuals with other inflammatory joint disorders (weighted mean age: 58.0 years; 58.0% female). EV-associated protein markers demonstrated heterogeneous findings related to immune, vascular, inflammatory, and osteoimmunological signaling. Only 4.2% (4/95) of miRNAs were consistently identified across studies comparing PsA with non-PsA psoriasis, with lower overlap (1.5%, 1/67) in studies comparing PsA with controls. ROC meta-analysis suggested preliminary diagnostic potential, particularly for distinguishing PsA from non-PsA psoriasis, although evidence was constrained by small study numbers. Conclusions: EV-associated proteins and miRNAs are potential biomarker candidates for PsA, reflecting inflammatory, vascular, and osteoimmunological processes underlying disease pathophysiology. However, current evidence remains preliminary and limited by small cohorts, methodological heterogeneity, and inconsistent reporting across studies.

Background Rheumatoid arthritis (RA) is a chronic systemic inflammatory disease which can lead to progressive disability and damage to multiple organs. Obesity is associated with higher disease activity in RA and inadequate long-term outcomes, so better understanding of mechanisms linking adiposity to immune dysregulation might help to refine optimal treatments. Monocytes are important contributors to immune activation in RA through antigen presentation and costimulatory signaling. We hypothesized that adiposity enhances monocyte costimulatory programming in RA, thereby promoting adaptive immune activation. Methods Single-cell RNA sequencing was performed using the 10x Genomics Flex platform on purified circulating monocytes from 31 donors (16 RA participants fulfilling 2010 ACR/EULAR classification criteria and 15 non-RA controls) generating transcriptomic profiles for approximately 135,599 monocytes. Donor-level pathway enrichment scores were calculated for predefined immune activation pathways including antigen processing and presentation, interferon signaling, and regulation of T-cell costimulation. Analyses were performed at the donor level to avoid cell-level pseudoreplication. Associations with disease status and body mass index were evaluated using factorial linear models and Spearman correlation analyses. Results Single-cell transcriptomic profiling identified classical, intermediate-like, non-classical, and interferon-responsive monocyte populations. RA was associated with enrichment of antigen processing and presentation programs in circulating monocytes (p=0.0106), indicating a primed antigen-presenting state. In contrast, regulation of T-cell costimulation pathway enrichment did not differ by RA status alone. However, within RA participants, higher BMI was associated with increased enrichment of monocyte T-cell costimulatory pathways (Spearman {rho}=0.56, p=0.0248), unlike in non-RA controls. Gene-level analyses demonstrated strong baseline expression of CD86, while ICOSLG and TNFSF4 transcripts were expressed at low levels overall, consistent with inducible costimulatory signaling programs. Conclusions These findings support a model in which metabolic dysregulation amplifies monocyte-mediated immune activation and may contribute to worsened disease outcomes in RA.

Background Pain frequently persists in rheumatoid arthritis (RA), despite effective control of inflammation. The mechanisms driving this residual pain remain poorly characterised in individual patients. Methods In 172 patients with established RA and clinically relevant pain (mean NRS 6.5/10) and 80 pain free controls, we combined indicators of inflammatory disease (CRP, joint counts, power Doppler ultrasound), centrally mediated pain (Widespread Pain Index, painDETECT), psychological distress (PHQ ADS) and quantitative sensory testing (QST). Latent profile analysis was applied without predefined thresholds. Results Four phenotypes were identified: a peripheral, low-inflammation/low-central phenotype (38%); a predominantly inflammatory phenotype (7%); and moderate (43%) and severe (12%) centrally mediated phenotypes. Centrally mediated phenotypes reported the highest pain (NRS 8.2), worst disease impact and lowest employment. DAS28 CRP was similar in both the inflammatory and severe centrally mediated phenotypes but for different reasons, swollen joints and CRP versus tender joints , and did not distinguish them. Conditioned pain modulation was impaired relative to controls (p<0.001) and most reduced in the severe centrally mediated phenotype. Psychological distress was the strongest independent predictor of pain severity (model R squared=0.33), whereas inflammatory markers were not. Principal components analysis identified swollen joint count (loading 0.63) and the tender swollen joint difference (loading 0.60) as accessible clinical markers of the inflammatory and centrally mediated phenotypes respectively. Conclusions A data driven approach identified four mechanism-based pain phenotypes in RA. This framework moves pain assessment beyond inflammation alone and provides a basis for testing analgesic strategies to target the predominant pain mechanism in individual patients.

Fc{gamma}RIIa, encoded by FCGR2A, is a widely expressed Fc receptor implicated in autoimmunity and infectious disease susceptibility. To fine-map the rheumatoid arthritis (RA) association at the complex FCGR locus, we combined gene-specific resequencing, genetic association studies in UK and Spanish European cohorts, functional genomics, structural biology, biophysical analyses, and cellular assays. We identified a common European FCGR2A haplotype (2A.3), defined by Q27W, H131H, and the RA-associated SNP rs12746613, which showed the strongest association with RA. Multi-omics analyses demonstrated that 2A.3 is associated with reduced expression of the soluble FCGR2A splice variant and lower circulating soluble Fc{gamma}RIIa levels. Functional studies revealed altered IgG interactions and delayed Fc{gamma}RIIa signal transduction associated with Q27W, while structural analyses found no evidence for stable ectodomain dimerisation. Together, these findings identify 2A.3 as an important functional contributor to RA susceptibility and provide mechanistic insight into how FCGR2A variation may influence immune regulation and disease risk in Europeans.

Psoriatic disease (PsD) is associated with metabolic dysfunction-associated steatotic liver disease (MASLD), but the hepatic effects of biologic therapies are unclear. We evaluated paired liver MRI and multi-modal immunoprofiling in PsD patients initiating new systemic therapy. COLIPSO is a prospective cohort of adults with moderate-to-severe psoriasis or psoriatic arthritis (PsA) starting a new conventional synthetic or biologic disease-modifying antirheumatic drug (DMARD). Liver MRI was performed at baseline and ~6 months. A subset of participants with PsA underwent peripheral blood flow cytometry and single-cell RNA sequencing (scRNAseq). Primary outcomes were within-subject change in quantitative MRI measures of liver disease activity and fat content (iron-corrected T1 [cT1] and proton density fat fraction [PDFF]). Bayesian models were used. Thirty-five participants (mean age 50 +/- 13 years; 61% male) were followed for ~29 weeks. Baseline disease activity was moderate (mean DAPSA 29) and 40% had MASLD. IL 17 inhibitors (IL-17i) improved PDFF (-1.58 +/- 1.61%) and cT1(-43.6 +/- 52.7ms), whereas TNFi showed little change. Compared with csDMARD, IL 17i improved PDFF (probability of direction [pd] 89%) and cT1 (pd 93%), which was not seen with TNFi. Flow cytometry (n=17) linked baseline gamma delta T-cell and ThGM-CSF T-cell abundance with cT1 and PDFF. scRNAseq highlighted baseline transcriptomic signatures in MAIT cells associated with cT1 and PDFF. Naive T-cell RNA signatures at baseline were associated with MRI improvements. In PsD, only IL-17i were associated with improved liver disease in addition to improving clinical PsD outcomes. T-cell subtypes bridging innate and adaptive immunity were associated with liver disease features.

Objectives To assess the effects of 24 weeks active treatment with baricitinib, a JAK1/2 inhibitor, in adult idiopathic inflammatory myopathy (IIM). Methods Patients with active dermatomyositis (DM) or polymyositis (PM) were enrolled into a 1:1 randomized treatment delayed-start design clinical trial (NCT04208464). Participants received 24 weeks baricitinib plus 12 weeks follow-up (Immediate-start), or 12 weeks standard of care plus 24 weeks baricitinib (Delayed-start). The primary outcome was clinical response after 24 weeks active treatment, defined as minimal improvement (Total Improvement Score >20 [TIS20]). Secondary outcomes included: TIS40 (moderate), TIS60 (major) response, between-arm comparison, time to achieve response, change in clinical outcome measures. steroid-sparing and cumulative adverse events. Results 14/15 (93%) randomized participants (mean age 43.2 years [11.6 SD]; 13 DM, 2 PM; 11 female) completed the study (baseline to 36 weeks) and all achieved TIS20 at 24 weeks post-active treatment (95% exact CI 0.68-1.00). 9/15 (60%) achieved TIS40 response and 2/15 (13%) TIS60 response. At 12 weeks post-randomization, 11/15 (73%) patients achieved at least TIS20 (95%CI 0.45-0.92), including all Immediate-start arm patients and four Delayed-start arm patients. At the same time point, evidence of a difference was noted for patient global, extramuscular, CDASI skin activity, pain, fatigue and SF-36 mental/physical health scores. Two hospitalisation serious adverse events were documented, neither related to study drug. Conclusions Treatment of IIM with baricitinib resulted in improved clinical outcome after 24 weeks. Significant improvement after 12 weeks treatment was also evident. No significant safety concerns were raised. A randomized placebo-controlled trial is needed to confirm the efficacy in patients with IIM.

Importance: Avacopan is a small-molecule C5aR1 antagonist used as adjunctive treatment for granulomatosis with polyangiitis (GPA) and microscopic polyangiitis (MPA). Evidence of real-world clinical effectiveness and safety is limited. Objective: Compare effectiveness and describe safety outcomes of avacopan plus SoC versus SoC alone. Design: Retrospective U.S. cohort study with prevalent new-user design emulating sequential nested trials with up to 12-month follow-up. Index dates: first avacopan prescription (avacopan arm); first rituximab or cyclophosphamide claim (SoC arm) during trial window. Setting: Optum Market Clarity administrative claims (October 2015 - June 2025). Participants: Adults receiving rituximab or cyclophosphamide after newly diagnosed or relapsing GPA/MPA. Comparative effectiveness cohort: patients meeting baseline eligibility. Safety cohort: adults with an avacopan prescription, regardless of other eligibility. Interventions: Avacopan plus SoC vs SoC alone. Main Outcomes and Measures: Relapse, prednisone-equivalent daily dose (PEDD) [&le;]7.5 mg, and serious hepatic event hospitalization were prespecified, whereas cumulative oral glucocorticoid exposure was analyzed post-hoc. A strict hepatic-event screen required [1] acute/subacute hepatic failure, central hemorrhagic liver necrosis, or toxic liver disease and [2] [&ge;]1 code indicative of severe acute liver injury on the same claim; a relaxed hepatic-event screen required either criterion. Standardized mortality ratio and censoring weights accounted for baseline covariates and informative censoring. Treatment effects in the avacopan-treated population were estimated. Results: The effectiveness analysis included 183 avacopan and 4096 SoC index dates. The safety cohort had 828 avacopan users. There were 38 events of relapse in the avacopan arm and 956 in the SoC arm (weighted hazard ratio [95% CI]: 0.81 [0.59, 1.13]). PEDD [&le;]7.5 mg was numerically more common with avacopan plus SoC at most timepoints. Cumulative glucocorticoid exposure was lower with avacopan plus SoC; between-arm differences exceeded 500 mg from months 5 through 12. No avacopan-exposed patients met the strict hepatic event screen definition. Relaxed hepatic event screen events occurred in 2 (1.1%), 5 (0.6%), and 10 (0.5%) patients in the avacopan effectiveness, avacopan safety, and SoC cohorts, respectively. Conclusions and Relevance: Early evidence from claims data suggests avacopan plus SoC may reduce relapse risk and enable faster glucocorticoid tapering vs SoC alone. Serious hepatic events appear rare.

Background: Chronic lowgrade inflammation in long standing rheumatoid arthritis (RA) contributes not only to joint damage but also to metabolic dysregulation, endothelial dysfunction, and elevated cardiovascular (CV) risk. Although combination disease modifying anti rheumatic drugs (DMARDs) remain the mainstay of therapy, their long term efficacy in controlling systemic inflammation and preventing metabolic complications appears limited. Phytochemicals such as resveratrol, a polyphenolic compound widely used in traditional and complementary medicine, possess anti inflammatory and immunomodulatory properties. Objectives: To investigate whether resveratrol can complement the immunomodulatory effects of combination DMARDs in long duration RA patients by modulating inflammatory cytokines and the JNK-IRS-Akt insulin signaling axis. Methods: This study enrolled early and late rheumatoid arthritis patients to assess disease activity, vascular markers, and ex vivo PBMC responses. PBMCs were isolated for cytotoxicity testing and resveratrol treatment, followed by ELISA and Western blot analysis. Statistical comparisons evaluated immunomodulatory effects and alterations in inflammatory signaling. Results: Longitudinal follow up of RA patients showed significant first year improvement in disease activity and atherosclerotic markers, correlated with MTX dose. An early versus late RA comparison revealed elevated cytokines and enhanced JNK mediated stress signaling in longstanding disease. Resveratrol maintained PBMC viability, reduced LPS induced TNF&alpha and adipokine levels, and downregulated pJNK and GSK&beta, indicating targeted anti inflammatory modulation independent of Akt activation. Conclusion: Chronic RA showed persistent inflammatory and metabolic dysregulation driven by JNK-NF&kappaB activation. Resveratrol reduced cytokines, corrected adipokine imbalance, and selectively inhibited JNK, suggesting adjunct therapeutic value alongside DMARDs for improving immunometabolic disturbances in long-standing RA.

Abstract Purpose: Haemochromatosis due to HFE-C282Y homozygosity can lead to excess iron absorption and is typically associated with liver malignancy, plus widespread arthritis. Recent evidence suggests that limb fractures are more common, but little is known about vertebral effects. This study investigated the association of vertebral compression fractures, assessed with intelligent dual-energy X-ray absorptiometry (iDXA), and HFE genotype in a large community cohort. Methods: UK Biobank data from 227 European genetic ancestry C282Y homozygotes (mean 64.6 years) and 234 age, sex, and BMI-matched controls without common HFE haemochromatosis variants were included. Lateral vertebral assessment scans (iDXA, GE-Lunar) were acquired at imaging reassessment (2014-2020) and reviewed, blind to genotype, for radiological evidence of vertebral fracture. Matched logistic regression models assessed associations between C282Y homozygosity and vertebral fractures. Results: 78 vertebral fractures (16.9%) were identified within 461 participants. Male C282Y homozygotes had increased odds of vertebral fracture (n=22/89, 24.7%) compared to participants without HFE alleles (n=9/90, 10.0%); Odds Ratio [OR]: 2.95, 95%CI: 1.28-6.85, p=0.01. The association persisted after excluding individuals with a diagnosis of haemochromatosis (OR: 3.37, 95% CI: 1.41-8.10, p=0.007). No excess fracture risk was observed in female C282Y homozygotes (n=23/138, 16.7%) vs those without HFE alleles (n=24/144, 16.7%); OR: 0.99, 95%CI: 0.53-1.87, p=1.00. Conclusion: In this community-based imaging study, male HFE C282Y homozygotes had a markedly higher likelihood of vertebral fractures than those without HFE variants. These findings support further evaluation of vertebral fracture assessment in C282Y homozygous men to ensure prompt treatment to prevent future fracture if appropriate.

Background: The efficacy and safety of avacopan in ANCA-associated vasculitis (AAV) has been established in randomized trials of of avacopan as a glucocorticoid (GC) sparing therapy. However, real world evidence (RWE) has an important role in confirming effectiveness and evaluating safety in more generalizable settings. This study aimed to synthesize RWE on the effectiveness and safety of avacopan in adults with AAV. Methods: A systematic literature review and meta analysis of non interventional real world studies was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta Analyses (PRISMA) guidelines. Eligible studies included adults with AAV treated with avacopan in routine clinical practice. Pooled estimates of effectiveness and safety outcomes were calculated using random effects meta-analyses. Primary outcomes included remission at 6 and 12 months and sustained remission at 12 months. Secondary outcomes included relapse, GC use and dosing, hepatotoxicity, infections, and treatment discontinuation. Exploratory outcomes included changes in estimated glomerular filtration rate (eGFR) and dialysis related endpoints. Results: A total of 71 studies were included and contributed to quantitative analyses. Pooled remission for patients on avacopan was 87% (95% CI: 75%-94%) at 6 months and 93% (95% CI: 86%-97%) at 12 months, and sustained remission was 86% (95% CI: 74%-93%) at 12 months. Relapse at 12 months was low (7%; 95% CI: 4%-11%). GC use was 36% at both 6 and 12 months. Improvements in eGFR were observed at 6 months (18 mL/min/1.73 m2) and 12 months (18 mL/min/1.73 m2), and dialysis liberation was 66% in a limited subset. Among avacopan patients, 11% experienced any hepatotoxicity, including 7% with serious (defined as directly reported or requiring hospitalization) hepatotoxicity, while 7% experienced serious (defined as directly reported or requiring hospitalization) infection. Conclusions: In real world clinical practice, avacopan is associated with high remission rates, low relapse rates, and a consistent GC sparing effect, with effectiveness comparable to standard of care regimens. Findings support its clinical use with appropriate safety monitoring; however, the observed heterogeneity in hepatotoxicity and the limited comparative effectiveness evidence highlight areas requiring further investigation.

Objective: To determine whether autoantibodies are present in giant cell arteritis (GCA) using a high-dimensional autoantibody array. Methods: Serum was collected from patients with GCA (n=20), other related vascular inflammatory diseases (Takayasu arteritis n=12, IgG4-RD n=5, Behcet's disease n=6), SLE (n=5) and healthy controls (n=12). Autoantibodies to 15,312 protein targets were measured using the GeneCopeia OmicsArray proteomic antigen microarray panel. Results: Differential abundance analysis revealed no autoantibodies significantly elevated in GCA or other related vascular inflammatory diseases. In contrast, the SLE group showed a strong and promiscuous autoantibody response, with 175 significantly associated autoantibodies (Benjamini-Hochberg-adjusted P <0.05). Conclusions: No autoantibodies were significantly elevated in GCA. We identified known and novel autoantibodies in SLE.