Annals of the Rheumatic Diseases最新文献

Background: Systemic lupus erythematosus (SLE) is a complex autoimmune disease characterised by autoreactive T and B lymphocytes. Sphingosine-1- phosphate (S1P) is involved in lymphocyte egress from peripheral lymphoid organs into the circulation. In phase 2a clinical trial, the potent, selective S1P₁ receptor modulator cenerimod reduced circulating antibody-secreting cells and interferon (IFN)-associated biomarkers.

Objectives: Pharmacodynamic effects of 2 and 4 mg cenerimod were evaluated in the phase 2b clinical trial (CARE) in moderate to severe patients with SLE (NCT03742037).

Methods: Blood samples were collected at baseline and after 6 months of treatment with cenerimod or placebo from CARE. The gene expression signatures for type 1 interferon (IFN-1), IFN-γ and plasma cells were used to assess dose-dependent pharmacodynamic effects of cenerimod. Cell-type deconvolution was performed to estimate cell abundance.

Results: Cenerimod 4 mg reduced IFN-associated protein and gene signature biomarkers after 6 months compared with placebo. A larger decrease of IFN proteins was evident in IFN-1 high patients compared with IFN-1 low patients. The median IFN-1 score in the IFN-1 high patients was reduced after 6 months of cenerimod 4 mg and the transition from IFN-1 low to high status compared with placebo was prevented. Cenerimod 4 mg exhibited a larger effect size on the pharmacodynamic biomarkers IFN-1, IFN-γ and plasma cells compared with cenerimod 2 mg.

Conclusions: This study further characterised the mechanism of action of cenerimod in patients with SLE and substantiated the scientific rationale for cenerimod 4 mg in the phase 3 clinical trials in moderate to severe SLE (OPUS-1/-2).

Objectives: To investigate the phenotypic heterogeneity of tissue-resident synovial fibroblasts and their role in inflammatory response in rheumatoid arthritis (RA).

Methods: We used single-cell and spatial transcriptomics to profile synovial cells and spatial gene expressions of synovial tissues to identify phenotypic changes in patients with osteoarthritis, RA in sustained remission and active state. Immunohistology, multiplex immunofluorescence and flow cytometry were used to identify synovial fibroblasts subsets. Deconvolution methods further validated our findings in two cohorts (PEAC and R4RA) with treatment response. Cell coculture was used to access the potential cell-cell interactions. Adoptive transfer of synovial cells in collagen-induced arthritis (CIA) mice and bulk RNA sequencing of synovial joints further validate the cellular functions.

Results: We identified a novel tissue-remodelling CD45^-CD31^-PDPN⁺ITGA5⁺ synovial fibroblast population with unique transcriptome of POSTN, COL3A1, CCL5 and TGFB1, and enriched in immunoregulatory pathways. This subset was upregulated in active and lympho-myeloid type of RA, associated with an increased risk of multidrug resistance. Transforming growth factor (TGF)-β1 might participate in the differentiation of this subset. Moreover, ITGA5⁺ synovial fibroblasts might occur in early stage of inflammation and induce the differentiation of CXCL13^hiPD^-1^hi peripheral helper T cells (TPHs) from naïve CD4⁺ T cells, by secreting TGF-β1. Intra-articular injection of ITGA5⁺ synovial fibroblasts exacerbates RA development and upregulates TPHs in CIA mice.

Conclusions: We demonstrate that ITGA5⁺ synovial fibroblasts might regulate the RA progression by inducing the differentiation of CXCL13^hiPD^-1^hi TPHs and remodelling the proinflammatory microenvironments. Therapeutic modulation of this subpopulation could therefore be a potential treatment strategy for RA.

Introduction: Chronic kidney disease (CKD) is a common comorbidity of rheumatoid arthritis (RA). The association of longitudinal RA disease activity with long-term kidney function has remained uncertain.

Method: We analysed a multicentre prospective RA registry in the USA from 2001 to 2022. The exposure was updated time-averaged Clinical Disease Activity Index (TA-CDAI) categories from study enrolment. The primary outcome was a longitudinal estimated glomerular filtration rate (eGFR) change. Secondary outcomes included developments of CKD stage G3a (eGFR<60 mL/min/1.73 m²) and stage G3b (eGFR<45 mL/min/1.73 m²). Results were adjusted for relevant time-fixed and time-varying covariates.

Results: 31 129 patients (median age: 58.0 years, female: 76.3%, median eGFR: 90.7 mL/min/1.73 m²) contributed 234 973 visits and 146 778 person-years of follow-up. Multivariable mixed-effect linear model showed an average annual eGFR decline during follow-up in the TA-CDAI-remission group of -0.83 mL/min/1.73 m² and estimated additional annual declines (95% CI) of -0.09 (-0.15 to -0.03) in low, -0.17 (-0.23 to -0.10) in moderate and -0.18 (-0.27 to -0.08) mL/min/1.73 m² in high disease activity patients. Compared with TA-CDAI remission, adjusted HRs (95% CI) for CKD stage G3a during follow-up were 1.15 (1.01 to 1.30) in low, 1.22 (1.06 to 1.40) in moderate and 1.27 (1.05 to 1.52) in high disease activity; for CKD stage G3b, 1.22 (0.84 to 1.76) in low, 1.66 (1.12 to 2.45) in moderate and 1.93 (1.16 to 3.20) in high disease activity.

Conclusions: Higher RA disease activity was associated with accelerated eGFR decline and increased risk of clinically relevant kidney dysfunction. Future intervention studies should attempt to replicate the association between RA disease activity and eGFR.

Objectives: To identify phenotype clusters and their trajectories in psoriatic arthritis (PsA) and examine the association of the clusters with treatment response in a real-world setting.

Methods: In the multicentre PsA Research Consortium (PARC) study, we applied factor analysis of mixed data to reduce dimensionality and collinearity, followed by hierarchical clustering on principal components. We then evaluated the transition of PsA clusters and their response to new immunomodulatory therapy and tumour necrosis factor inhibitor (TNFi).

Results: Among 627 patients with PsA, three clusters were identified: mild PsA and psoriasis only (PsO) (Cluster 1, 47.4%), severe PsA and mild PsO (Cluster 2, 34.3%) and severe PsA and severe PsO (Cluster 3, 18.3%). Among 339 patients starting or changing, significant differences in response were observed (mean follow-up of 0.7 years, SD 0.8), with Cluster 3 showing the largest improvements in cDAPSA and PsAID. No differences were found among those starting TNFi (n=218). cDAPSA remission and PsAID patient acceptable symptom state were achieved in 10% and 54%, respectively. Clusters remained stable over time despite treatment changes, though some transitions occurred, notably from Cluster 3 to milder clusters.

Conclusion: Data-driven clusters with distinct therapy responses identified in this real-world study highlight the extensive heterogeneity in PsA and the central role of psoriasis and musculoskeletal severity in treatment outcomes. Concurrently, these findings underscore the need for better outcome measures, particularly for individuals with lower disease activity.

Objective: We aimed to identify specific genetic-respiratory disease endotypes for rheumatoid arthritis (RA) risk.

Methods: This case-control study used the Mass General Brigham (MGB) and Mayo Clinic (MC) Biobanks for discovery and replication, respectively. We matched criteria-confirmed incident RA cases to four non-RA controls on age, sex and health record history. Genetic exposures included the top 11 RA risk alleles, and a validated human leucocyte antigen (HLA) genetic risk score (GRS). We identified seven respiratory diseases by codes. Using logistic regression models adjusting for potential confounders, we estimated Rs with 95% CIs for the interactions between genetic and respiratory exposures for RA risk.

Results: We identified 653 RA cases and 2607 controls in MGB, and 428 incident RA cases and 1712 non-RA controls in MC (mean age 64, 69% female). Respiratory diseases were associated with an increased risk of RA (OR 1.34, 95% CI 1.05, 1.71). Six out of 11 non-HLA RA risk alleles interacted strongly with specific respiratory diseases for RA risk, including NFKBIE and sinusitis (OR 5.49, 95% CI 1.56, 19.4 MGB; 5.26, 95% CI 2.00, 13.86 MC) and FAM167A and acute sinusitis for seronegative RA (OR 6.00, 95% CI 2.09, 17.24 MGB; 4.90, 95% CI 1.71, 14.1 MC). The RA HLA GRS interacted synergistically with interstitial lung disease for RA risk (OR 5.41, 95% CI 2.71, 10.8 in MC), with DPB1*02:01, DRB1*16:01 and DRB1*04:04 best predicting RA (positive predictive value 61%).

Conclusion: Several genetic-respiratory disease interactions strongly drive RA onset. If confirmed, these novel associations may reflect RA endotypes that can facilitate individualised prevention, diagnosis and treatment.

Objectives: Belimumab is a putative disease-modifying agent in systemic lupus erythematosus (SLE), yet the molecular underpinnings of its effects and the ability to predict early clinical response remain unexplored. To address these, we undertook a longitudinal, in-depth blood transcriptome study.

Methods: RNA-sequencing was performed in the blood of active SLE patients at baseline and following 6 months of belimumab treatment (n=45 paired samples). Clinical response was determined according to the SLE Responder Index (SRI)-4 and Lupus Low Disease Activity State (LLDAS). Weighted correlation network analysis (WGCNA) was used to uncover gene module trait associations. Reversibility of SLE susceptibility and severity gene signatures was assessed. Machine learning was used to build models predictive of response.

Results: Belimumab induced widespread transcriptome changes with downregulation of pathways related to B cells, type I/II interferon, IL-6/STAT3 and neutrophil activation. These effects were more pronounced among patients with LLDAS+ compared with to SRI-4+/LLDAS- response, with amelioration of the SLE 'susceptibility' signature observed in the former group. Unsupervised analysis unveiled gene modules enriched in neutrophil degranulation, type I interferon signalling and cytokine production to correlate positively with response at 6 months. Using neural networks, a set of 50 genes (including CCL4L2, CARD10, MMP15 and KLRC2) predicted response to belimumab with a cross-validated 84% specificity (test set). Lack of response was linked to perturbations of the cell cycle checkpoints, PI3K/ Akt/mammalian target of rapamycin and TGF-beta signalling pathways.

Conclusion: Belimumab treatment ameliorates multiple innate and adaptive immunity dysregulations of SLE and may reverse the disease signature, consistent with the drug effects on reducing activity and preventing flares. Fingerprints of innate immunity correlate with robust improvement whereas DNA damage response with less responsive disease to BAFF inhibition.

Objective: To assess the efficacy/safety of ivarmacitinib, a selective Janus kinase (JAK) 1 inhibitor, in patients with moderate-to-severe active rheumatoid arthritis (RA) who had an inadequate response to conventional synthetic disease-modifying antirheumatic drugs (csDMARDs).

Methods: Patients were randomised (1:1:1) to receive either placebo (n=188), ivarmacitinib 4 mg (n=189) or ivarmacitinib 8 mg (n=189) once daily, with background csDMARDs allowed. After 24 weeks, patients on placebo switched to ivarmacitinib 4 mg for an additional 28 weeks, while those on ivarmacitinib continued their initial dosage. The primary endpoint was the proportion of patients achieving a 20% improvement in the American College of Rheumatology response criteria (ACR20) at week 24.

Results: At week 24, ACR20 response rates were significantly higher in the ivarmacitinib 4 mg (70.4%) and 8 mg (75.1%) groups compared with the placebo group (40.4%; both p<0.0001). Both ivarmacitinib doses achieved numerically higher Disease Activity Score 28-joint count C reactive protein of <2.6/≤3.2 response rates compared with placebo. Improvements in efficacy and patient-reported outcomes were sustained through 52 weeks and were noted in patients who switched from placebo after week 24. During the placebo-controlled period, treatment-emergent adverse events (TEAEs) occurred in 81.5% and 90.5% of patients in the ivarmacitinib 4 mg and 8 mg groups, versus 79.3% in the placebo group. Infection-related TEAEs were slightly higher in the ivarmacitinib groups.

Conclusions: Ivarmacitinib may offer a potential therapeutic option for patients with RA who have an inadequate response to csDMARDs, with a safety profile that was generally manageable over 1 year of treatment and similar to other JAK inhibitors.

Trial registration number: NCT04333771.

Objectives: This project aimed to determine whether cranial ischaemic complications at the presentation of giant cell arteritis (GCA) were associated with pre-existing cardiovascular (CV) risk factors, CV disease or genetic risk of CV-related traits.

Methods: 1946 GCA patients with clinicodemographic data at GCA presentation were included. Associations between pre-existing CV-related traits (including Polygenic Risk Scores (PRS) for CV traits) and cranial ischaemic complications were tested. A model for cranial ischaemic complications was optimised using an elastic net approach. Positional gene mapping of associated PRS was performed to improve biological understanding.

Results: In a sample of 1946 GCA patients (median age=71, 68.7% female), 17% had cranial ischaemic complications at presentation. In univariable analyses, 10 variables were associated with complications (likelihood-ratio test p≤0.05). In multivariable analysis, the two variables with the strongest effects, with or without PRS in the model, were anticoagulant therapy (adjusted OR (95% CI)=0.21 (0.05 to 0.62), p=4.95×10^-3) and age (adjusted OR (95% CI)=1.60 (0.73 to 3.66), p=2.52×10^-3, for ≥80 years versus <60 years). In sensitivity analyses omitting anticoagulant therapy from multivariable analysis, age and hypertension were associated with cranial ischaemic complications at presentation (hypertension: adjusted OR (95% CI)=1.35 (1.03 to 1.75), p=0.03). Positional gene mapping of an associated transient ischaemic attack PRS identified TEK, CD96 and MROH9 loci.

Conclusion: Age and hypertension were risk factors for cranial ischaemic complications at GCA presentation, but in this dataset, anticoagulation appeared protective. Positional gene mapping suggested a role for immune and coagulation-related pathways in the pathogenesis of complications. Further studies are needed before implementation in clinical practice.