Annals of the Rheumatic Diseases最新文献

Objectives: To update the 2017 European Alliance of Associations for Rheumatology (EULAR) recommendations for treatment of systemic sclerosis (SSc), incorporating new evidence and therapies.

Methods: An international task force was convened in line with EULAR standard operating procedures. A nominal group technique exercise was performed in two rounds to define questions underpinning a subsequent systematic literature review. The evidence derived was discussed and overarching principles, recommendations and future research agenda were iteratively developed with voting rounds.

Results: The task force agreed on 22 recommendations covering 8 clinical/organ domains including Raynaud's phenomenon, digital ulcers, pulmonary arterial hypertension, scleroderma renal crisis, skin fibrosis, interstitial lung disease (ILD), gastrointestinal manifestations and arthritis. Most new recommendations are related to skin fibrosis and ILD. These included novel recommendations for the use of mycophenolate mofetil, nintedanib, rituximab and tocilizumab for the treatment of these crucial disease manifestations. The recommendations also included first-line and second-line interventions, providing increased utility for rheumatology practitioners. Important additions to the future research agenda included consideration of novel interventions for the management of vascular, musculoskeletal and gastrointestinal manifestations and calcinosis, as well as for the local management of digital ulcers.

Conclusion: These updated recommendations include the first set of synthetic and biological targeted therapies recommended for key fibrotic manifestations of SSc as well as first-line combination treatment for newly diagnosed pulmonary artery hypertension and prioritise a new research agenda for the coming years.

Objectives: B and T cells constitute the majority of infiltrating lymphocytes in the kidney and represent the local perpetrators in lupus nephritis (LN), but the underlying pathogenic mechanisms are not well elucidated. The aim of this study is to explore the kidney-specific adaptive immune landscape in patients with active LN at the single-cell level.

Methods: We performed single-cell RNA/B cell receptor (BCR)/T cell receptor (TCR) sequencing analysis on sorting-purified B and T cells from the kidney and paired peripheral blood of patients with active LN, and the periphery of matched controls. Flow cytometry, Assay for Transposase Accessible-sequencing, multiplexed immunohistochemistry and functional studies were performed to validate the transcriptomic results.

Results: High infiltrations of intrarenal atypical B cells (ABCs) and antibody-secreting cells (ASCs) were identified in the B cell compartment. The single-cell BCR repertoire analysis revealed strong clonal expansion of intrarenal ASCs dominated by IGHG1 and IGHG3 isotypes, accompanied by lower frequencies of heavy-chain and light-chain somatic mutations, compared with the peripheral ASCs. Notably, a unique expansion of IGHG4-59 and clonal overlap between ABCs and ASCs was found in kidney-specific clonotypes. In the T cell compartment, we identified granzyme K (GZMK)⁺ CD8 T cells as the dominant kidney-associated T cells which shared inflammation- and stress-related gene pathways with ABCs. Intrarenal GZMK⁺ CD8 T cells highly expressed IFNG and displayed strong communication with ABCs via the type II interferon (IFN) pathway. Intrarenal GZMK⁺ CD8 T cells and ABCs were largely co-localised within the tertiary lymphoid structure, and GZMK⁺ CD8 T cells potentially contributed to the differentiation of ABCs via IFN-γ and interleukin-21.

Conclusions: Our study revealed a potent extrafollicular B cell response linked with overactivation of GZMK⁺ CD8 T cells in the kidney of patients with LN, which may lead to innovative treatments for LN.

Objectives: In this study, we employ a multiomic approach to identify major cell types and subsets, and their transcriptomic profiles within the infrapatellar fat pad (IFP), and to determine differences in the IFP based on knee osteoarthritis (KOA), sex and obesity status.

Methods: Single-nucleus RNA sequencing of 82 924 nuclei from 21 IFPs (n=6 healthy control and n=15 KOA donors), spatial transcriptomics and bioinformatic analyses were used to identify contributions of the IFP to KOA. We mapped cell subclusters from other white adipose tissues using publicly available literature. The diversity of fibroblasts within the IFP was investigated by bioinformatic analyses, comparing by KOA, sex and obesity status. Metabolomics was used to further explore differences in fibroblasts by obesity status.

Results: We identified multiple subclusters of fibroblasts, macrophages, adipocytes and endothelial cells with unique transcriptomic profiles. Using spatial transcriptomics, we resolved distributions of cell types and their transcriptomic profiles and computationally identified putative cell-cell communication networks. Furthermore, we identified transcriptomic differences in fibroblasts from KOA versus healthy control donor IFPs, female versus male KOA-IFPs and obese versus normal body mass index (BMI) KOA-IFPs. Finally, using metabolomics, we defined differences in metabolite levels in supernatants of naïve, profibrotic stimuli-treated and proinflammatory stimuli-treated fibroblasts from obese compared to normal BMI KOA-IFPs.

Conclusions: Overall, by employing a multiomic approach, this study provides the first comprehensive map of the cellular and transcriptomic diversity of human IFP and identifies IFP fibroblasts as key cells contributing to transcriptomic and metabolic differences related to KOA disease, sex or obesity.

Background: Anti-3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR)-positive immune-mediated necrotising myopathy (IMNM) is characterised by the presence of IgG autoantibodies against HMGCR and a strong association with specific HLA-DR alleles. Although these findings implicate HMGCR-specific CD4⁺T-cells in the disease's pathogenesis, no such cells have been described. In this study, we aimed to identify and characterise HMGCR-reactive CD4⁺T-cells and assess their presence in affected muscle tissue from patients with anti-HMGCR+IMNM.

Methods: Peripheral blood mononuclear cells from patients with anti-HMGCR+IMNM (n=10) and dermatomyositis (DM; n=10) were stimulated with HMGCR protein and peptides identified using a natural antigen processing assay (NAPA; n=6). CD4⁺T-cell activation was assessed by CD154 upregulation via flow cytometry. T-cell receptor β(TCR) sequencing was performed on paired HMGCR-reactive T-cells and muscle biopsy tissue (n=5).

Results: CD4⁺T-cell responses to HMGCR protein were higher in patients with anti-HMGCR+IMNM compared with DM (median 0.06 vs 0.00, p=0.0059). These responses were enriched in Th1-Th17 cells, and when present, they positively correlated with anti-HMGCR antibody levels (r²=0.89, p=0.0012). NAPA revealed convergent presentation of seven HMGCR core peptides, with substantial overlap in the peptide repertoires between patients. These HMGCR peptides elicited robust CD4⁺T-cell responses, with 9/10 anti-HMGCR+IMNM patients responding to at least one peptide, compared with 1/10 DM (p=0.0003). Analysis of HMGCR-reactive TCRs β yielded antigen-reactive motifs that were enriched in muscle biopsies (projection score 0.03 vs 0.63, p=0.007).

Conclusion: HMGCR-antigen-reactive CD4⁺T-cells are present in the circulation and target tissue of patients with anti-HMGCR+IMNM, suggesting an active role for these cells in the pathogenesis of anti-HMGCR+IMNM.

Objectives: Childhood-onset systemic lupus erythematosus (cSLE), representing 15%-20% of individuals with SLE, has been difficult to study globally due to differences between registries. This initiative, supported by Childhood Arthritis Rheumatology Research Alliance (CARRA) and Paediatric Rheumatology European Society (PReS), aims to create Core and Expanded cSLE Datasets to standardise and enhance research worldwide.

Methods: 21 international cSLE experts and 4 patients participated in a Delphi process (questionnaires, 2 topic-specific focus groups and 3 virtual consensus meetings) to create 2 standardised cSLE datasets. The Core cSLE Dataset was designed to include data essential to meaningful clinical research across many settings. The Expanded cSLE Dataset was designed for centres able to consistently collect data to address broader research questions. Final data items for the Core and Expanded datasets were determined by consensus defined as >80% agreement) using an adapted nominal group technique and voting.

Results: The resulting Core cSLE Dataset contains 46 items, including demographics, clinical features, laboratory results, medications and significant adverse events. The Expanded cSLE Dataset adds 26 additional items and includes patient-reported outcomes. Consensus was also achieved regarding the frequency and time points for data collection: baseline, quarterly follow-up visits, annually and flare visits.

Conclusion: Standardised Core and Expanded cSLE Datasets for registry-based international cSLE research were defined through the consensus of global experts and patient/caregiver representatives, endorsed by CARRA and PReS. These datasets incorporate disease-specific and patient-specific features, optimised for diverse settings to facilitate international collaborative research for children and adolescents with SLE worldwide.

Objectives: The usefulness of methotrexate-polyglutamates (MTX-PGs) concentration for management of rheumatoid arthritis has been debated. We aimed to clarify the association of MTX-PGs concentration with efficacy and safety in MTX-naïve patients initiating MTX in a prospective interventional clinical trial.

Methods: The MIRACLE trial enrolled 300 MTX-naïve patients. Oral MTX was initiated and increased to the maximum tolerated dose by week 12. Patients who did not achieve remission according to the Simplified Disease Activity Index at week 24 were randomised to either the continued dose or reduced dose group and were started on subcutaneous adalimumab. We measured the concentrations of MTX-PGs in erythrocytes using liquid chromatography-tandem mass spectrometry and analysed the association of these concentrations with efficacy and safety.

Results: The mean concentration of total MTX-PGs increased with an increasing dose of MTX and continued to elevate for another 12 weeks after the dose was fixed. At week 24, the total MTX-PGs concentration was 110.5 (SD 43.8) nmol/L with MTX dose of 12.6 (3.0) mg/week (0.23 (0.07) mg/kg/week). During MTX monotherapy, the higher MTX-PGs concentration was an independent factor for lower disease activity; however, this association disappeared after adalimumab initiation in patients with continued MTX dose. Hepatotoxicity was related to the higher MTX-PGs concentration regardless of adalimumab use. The total MTX-PGs concentration was significantly elevated by lower estimated glomerular filtration rate, serum albumin and body mass index.

Conclusions: The MIRACLE trial demonstrated that higher total MTX-PGs concentration in erythrocytes is related to the higher efficacy and lower safety of MTX.

Trial registration number: NCT03505008.

Objective: Considering the diverse aetiologies and immunodysregulatory statuses observed in each patient with rheumatoid arthritis (RA), stratification based on peripheral blood immunophenotyping holds the potential to enhance therapeutic responses to molecular targeted therapies, biological/targeted synthetic disease-modifying antirheumatic drugs (b/tsDMARDs).

Methods: Immunophenotype analysis was conducted on a cohort of over 500 b/tsDMARDs-naïve patients using flow cytometry. Patients with RA were stratified based on their immunophenotypes, and the treatment response to each targeted therapy was evaluated. Validation was performed using an additional cohort of 183 b/tsDMARDs-naïve patients with RA.

Results: Patients with RA were stratified into five clusters, two of which exhibited distinct RA phenotypes compared with controls, characterised by significant increases in CD4⁺ effector memory T cells re-expressing CD45RA. Notably, the effectiveness of different b/tsDMARDs varied across clusters. The group using promising b/tsDMARDs was labelled as 'expected' whereas the 'non-expected' group comprised those using others. The expected group outperformed the non-expected group with higher 26-week remission rates (39.9% vs 24.6%, p=0.0004) and low disease activity achievement (80.8% vs 60.2%, p<0.0001). Trajectory analysis showed the non-expected group's 26-week disease activity was influenced by Clinical Disease Activity Index at baseline unlike the expected group. Additionally, different molecular targeted therapies influenced the proportions of each immune cell subset variably. To validate, immunophenotyping was performed on a validation cohort. When 183 cases were grouped based on their b/tsDMARDs usage into expected/non-expected groups, the expected group had a higher remission rate (p=0.0021), further confirming the observed trend.

Conclusion: Our findings offer valuable insights into the diversity of RA and potential therapeutic strategies grounded in the molecular underpinnings.

Background: Preventing worsening osteoarthritis (OA) in persons with early OA is a major treatment goal. We evaluated if different early OA definitions yielded enough cases of worsening OA within 2-5 years to make trial testing treatments feasible.

Methods: We assessed different definitions of early OA using data from Multicenter Osteoarthritis (MOST) Study participants who were followed up longitudinally. We defined early OA as having at least minimal knee pain (WOMAC (Western Ontario and McMaster Universities Osteoarthritis Index) pain ≥3/20) with different levels of pre-radiographic OA. For MRI, we required knee pain and used MRI definitions with combinations of cartilage damage, osteophytes, bone marrow lesions and meniscus damage.The primary outcome, worsening OA at 2 or 5 years, combined structural (Kellgren and Lawrence grade ≥2 with joint space narrowing ≥1) and symptom (WOMAC pain ≥6 with increase ≥2 from baseline) outcomes. We also examined structural and symptom outcomes separately.

Results: For worsening OA at 2 years, we included 750 participants (mean age 65 years, 60% female, 90% white, mean body mass index 29.2 kg/m²). Fewer than 10% of early OA knees had the combined outcome at 2 or 5 years. At 2 years, for several early OA definitions, roughly 20% of knees had either structural or symptom worsening outcomes. Two-year trials of either, but not both, outcomes would need to recruit over 1200 patients.

Conclusion: Most knees with early OA are stable and do not progress. Some painful knees experience worse pain but not structural progression and vice versa. Trial testing treatments to prevent OA illness or disease will be challenging.

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.

Objectives: To assess the ability of a previously trained deep-learning algorithm to identify the presence of inflammation on MRI of sacroiliac joints (SIJ) in a large external validation set of patients with axial spondyloarthritis (axSpA).

Methods: Baseline SIJ MRI scans were collected from two prospective randomised controlled trials in patients with non-radiographic (nr-) and radiographic (r-) axSpA (RAPID-axSpA: NCT01087762 and C-OPTIMISE: NCT02505542) and were centrally evaluated by two expert readers (and adjudicator in case of disagreement) for the presence of inflammation by the 2009 Assessment of SpondyloArthritis International Society (ASAS) definition. Scans were processed by the deep-learning algorithm, blinded to clinical information and central expert readings.

Results: Pooling the patients from RAPID-axSpA (n=152) and C-OPTIMISE (n=579) yielded a validation set of 731 patients (mean age: 34.2 years, SD: 8.6; 505/731 (69.1%) male), of which 326/731 (44.6%) had nr-axSpA and 436/731 (59.6%) had inflammation on MRI per central readings. Scans were obtained from over 30 scanners from 5 manufacturers across over 100 clinical sites. Comparing the trained algorithm with the human central readings yielded a sensitivity of 70% (95% CI 66% to 73%), specificity of 81% (95% CI 78% to 84%), positive predictive value of 84% (95% CI 82% to 87%), negative predictive value of 64% (95% CI 61% to 68%), Cohen's kappa of 0.49 (95% CI 0.43 to 0.55) and absolute agreement of 74% (95% CI 72% to 77%).

Conclusion: The algorithm enabled acceptable detection of inflammation according to the 2009 ASAS MRI definition in a large external validation cohort.