Arthritis Research & Therapy

Sensory neuropeptides, particularly Substance P (SP) and -calcitonin gene-related peptide (CGRP), are implicated in osteoarthritis (OA) pathogenesis. This study elucidates their specific roles in spontaneous, age-related OA. Male and female mice deficient in SP (Tac1-/-), CGRP (CGRP-/-), or both (DKO) were evaluated at 6, 12, and 18 months of age. Assessments included histological OARSI scoring for articular cartilage matrix structure, Luminex arrays for systemic serum cytokines, and flow cytometry for local synovial immune cell profiling. Wild type (WT) mice developed early-stage, age-related cartilage degradation, predominantly in the lateral compartment. Conversely, all neuropeptide-deficient strains exhibited significant structural protection against this process. Systemically, SP deficiency distinctly altered cytokine profiles (e.g., decreased IL-23, increased IP-10), whereas CGRP deficiency caused minimal systemic shifts, highlighting a disconnect between circulating markers and local joint preservation. Locally, flow cytometry revealed profound, sexually dimorphic, and age-dependent neuroimmune alterations. In young males, neuropeptide deficiency significantly reduced synovial macrophage counts to levels comparable to those of aged WT mice. Furthermore, male CGRP-/- mice exhibited an age-related accumulation of CD8+ cytotoxic T cells. In contrast to males, young WT females demonstrated higher baseline CD8+ T cell counts that declined with age, whereas these subpopulations remained persistently low in KO mice. SP and CGRP act as critical modulators of age-related cartilage degradation. Their absence provides robust structural protection mediated through highly localized, sexually dimorphic neuroimmune pathways. These findings emphasize the necessity of targeting the local joint microenvironment for future personalized, sex-specific OA therapies.

Skeletal muscle dysfunction is a major contributor to disability and incomplete functional recovery in patients with end-stage knee osteoarthritis (KOA), yet the spatial components of disease-associated molecular remodeling remain poorly understood. Here, we applied spatial transcriptomics to paired skeletal muscle biopsies obtained from the surgical (Sx) and contralateral (Ct) limbs of individuals undergoing total knee arthroplasty (TKA) to define the cellular architecture of periarticular muscle and determine how muscle inflammation susceptibility (MuIS) shapes local transcriptional programs. Integrated analysis of 27,087 spots obtained from 22 muscle histological cross-sections (11 Sx-Ct pairs) revealed seven spatially resolved transcriptional domains corresponding to slow and fast myofiber states, an extracellular matrix/fibroadipogenic-enriched domain, a pericyte/smooth muscle domain, and a satellite cell/myogenic-enriched domain. Despite advanced unilateral disease, the major annotated cellular compartments were similarly represented between Sx and Ct limbs. KOA-associated remodeling was reflected primarily by within-cluster transcriptional changes, with the most informative differences observed in fibroadipogenic, pericyte/smooth muscle, and satellite/myogenic domains. Within Sx, MuIS stratification identified a coordinated transcriptional program characterized by denervation- and regeneration-associated genes and altered contractile and metabolic features. Neighborhood analysis localized denervation-associated signals primarily to fast-myofiber-rich regions, while local adjacency patterns among the examined myofiber, fibroadipogenic, and pericyte/smooth muscle domains were broadly preserved. Our findings provide the first spatial transcriptomic analysis of periarticular skeletal muscle in end-stage KOA and identify MuIS as a distinct local transcriptional phenotype in diseased muscle.

Objective To characterize regional subchondral bone metabolism before and after acute mechanical loading in individuals with unilateral knee pain using dynamic [18F]sodium fluoride ([18F]NaF) positron emission tomography (PET)/magnetic resonance imaging (MRI), and to investigate relationships with cartilage composition and pain severity. Design Twenty-two individuals with unilateral knee pain and 22 age- and sex-matched healthy controls underwent bilateral dynamic [18F]NaF PET/MRI before and after a standardized stair-climbing protocol in this prospective feasibility study. Automated MRI-based segmentations were used to quantify regional PET standardized uptake values (SUVmean, SUVmax) and pharmacokinetic parameters (K1: bone perfusion, Ki: bone mineralization, extraction fraction) across subchondral bone regions. Quantitative cartilage T2 mapping was performed using qDESS MRI. Painful knees were compared with contralateral asymptomatic knees and healthy control knees using regional effect sizes and regression analyses. Exploratory analyses evaluated associations between PET metrics, cartilage T2, and pain severity. Results Painful knees demonstrated consistently higher baseline subchondral bone metabolic activity than healthy controls, with the largest differences in the medial tibial and medial femoral subchondral bone (Cohen's d=0.51-0.90). Following mechanical loading, exercise-induced increases in bone metabolism were more widespread and demonstrated predominantly moderate-to-large effect sizes (d=0.62-1.15), particularly within the medial and lateral femoral and medial tibial subchondral bone. In contrast, comparisons between painful and contralateral knees showed only localized metabolic differences with predominantly negligible-to-small effect sizes (d=0.16-0.55). Sensitivity analyses adjusting for age and BMI produced similar regional patterns. Exploratory analyses demonstrated generally weak associations between PET-derived metabolic measures, cartilage T2, and pain severity, with only isolated moderate regional correlations. Conclusions Dynamic [18F]NaF PET/MRI demonstrates increased baseline subchondral bone metabolic activity and an exaggerated metabolic response to mechanical loading in symptomatic knees compared with healthy controls. The modest differences between painful and contralateral knees suggest that the asymptomatic limb may not represent a truly unaffected reference. Dynamic [18F]NaF PET provides complementary information beyond cartilage MRI and patient-reported pain and shows promise for investigating subchondral bone metabolism in knee pain, early joint degeneration, and treatment response.

Even though osteoarthritis is considered a disease of the whole joint, integrated analysis of articular calcified cartilage (ACC) behaviour with adjacent tissues remains a persistent limitation. Herein, we performed synchrotron X-ray computed tomography in intact loaded joints and coupled anatomical analysis with digital volume correlation to examine whether microarchitectural ACC features serve as predictive mechano-biomarkers of osteoarthritis. We reveal that male osteoarthritis-prone STR/Ort mice have thicker yet more porous ACC that contains larger but less spherical chondrocyte lacunae than their healthy parental-control CBA mice. This was linked to asymmetrical distribution of tensile and compressive strains generated under physiological loads in the ACC and underlying subchondral bone in tibial epiphyses of STR/Ort mice. Together these data suggest that murine ACC microarchitecture has a mechano-predictive role in age-related osteoarthritis.

Osteoarthritis is a leading cause of chronic pain and disability, which lacks disease-modifying treatment. Given the complex multi-tissue and multifactorial drivers behind disease progression, effective treatments will require simultaneously targeting several mechanisms underlying joint degeneration and pain. Here, we developed and evaluated a combinatorial gene therapy, consisting of a high-capacity adenoviral vector carrying two therapeutic genes to target distinct pathological mechanisms: inflammation (IL-1Ra) and chondrocyte health (PRG4). Intra-articular delivery of this treatment improved functional, structural, and pain outcomes in murine and equine osteoarthritis models. In addition, treatment normalized inflammatory environments in joint tissues, as well as in the dorsal root ganglia (DRG) known to harbor joint-innervating sensory neurons. Moreover, gene therapy reversed OA-induced molecular signatures of neural hyperexcitability, suggesting amelioration of peripheral sensitization. Collectively, these findings support combinatorial gene therapy as a promising treatment for osteoarthritis, while identifying neuroinflammatory signatures for correction of disease progression and pain. One Sentence SummaryA single intra-articular injection of a combinatorial gene therapy slows OA progression and reduces pain in small and large animal models.

Osteoarthritis (OA) is the most common chronic joint disease and a leading cause of disability worldwide, yet no disease-modifying therapies are available. Although OA has traditionally been viewed as a cartilage-centered degenerative disease, growing evidence suggests that synovial inflammation is a critical driver of disease progression. However, the upstream mechanisms and actionable targets that govern this inflammatory response remain poorly defined. Connexin 43 (Cx43), a key regulator of musculoskeletal homeostasis that forms both gap junctions and hemichannels (HCs), is upregulated in osteoarthritic cartilage and synovium, but the specific contribution of Cx43 channels remains unclear. Here, we show that selective inhibition of Cx43 HCs attenuates OA progression in a murine post-traumatic OA model. Using adeno-associated virus (AAV)-mediated gene deletion, we found that Cx43 knockdown in joint tissues reduced cartilage erosion, synovial hyperplasia, subchondral bone sclerosis, and OA-associated pain. To dissect HC-specific functions, we developed a monoclonal antibody, Cx43(M1), that blocks Cx43 HCs without affecting junctional communication. Cx43(M1) preserved cartilage integrity, suppressed synovial inflammation, and alleviated pain behaviors, even when treatment was initiated after established cartilage damage. Mechanistically, the antibody preferentially localized to synovial macrophages, where it inhibited HC activity, reduced ATP and PGE2 release, and suppressed pro-inflammatory gene expression. Macrophage-specific Cx43 deletion recapitulated these protective effects, and Cx43 HC blockade in primary human OA synovial macrophages similarly inhibited inflammatory and catabolic responses. These findings identify synovial macrophage Cx43 HCs as upstream drivers of OA and support a paradigm shift from a predominantly chondrocyte-centered view toward synovial macrophage directed intervention.

Purpose: The primary objective of the Stanford Knee Osteoarthritis PET/MRI Evaluation (SKOPE) study is to develop and evaluate a multimodal, dynamic [18F]NaF PET-MRI framework for characterizing whole-joint physiology and its relationship to osteoarthritis (OA) risk, pain, and disease progression. Specifically, we aim to integrate dynamic PET with quantitative and anatomical MRI, to characterize structural, compositional, and metabolic features across the knee and surrounding musculoskeletal system, evaluate acute tissue responses to exercise, and identify imaging biomarkers associated with OA risk, pain, and disease progression. Methods: The SKOPE study includes multimodal PET-MRI of the knee and surrounding musculoskeletal tissues, with imaging of the knee, tibia, ankle, thigh, hip, pelvis, and lumbosacral spine. Dynamic [18F]NaF PET is combined with conventional anatomical MRI and quantitative MRI techniques, including quantitative double-echo steady-state (qDESS) T2 mapping of cartilage, Dixon fat-fraction imaging, ultrashort echo time (UTE) T2* mapping of short-T2 tissues, UTE imaging of tibial bone, and zero echo time (ZTE) imaging for bone morphology and pseudo-CT generation. Additional MRI sequences characterize muscle composition, bone and joint anatomy, intervertebral discs, and regional vascular anatomy. Selected scans are acquired before and after a standardized exercise protocol to assess the acute physiological response of the joint. Automated segmentation is used to generate subject-specific masks of muscles, bones, vertebrae, and intervertebral discs. A subset of the MRI protocol is repeated at 1- and 2-year follow-up to assess longitudinal changes. Expected Impact: By combining dynamic bone metabolic imaging with quantitative measures of cartilage, menisci, muscle, bone, fat, vascular structures, and the spine and hip, the SKOPE protocol provides a whole-joint and multijoint framework for studying the structural, metabolic, and physiological processes associated with OA and pain. Exercise and longitudinal imaging further enable assessment of acute tissue responses and changes over time, supporting the development of quantitative imaging biomarkers for OA risk, pain, and disease progression.

Objectives Juvenile idiopathic arthritis (JIA) is a collection of childhood onset rheumatic conditions that more frequently occur in females in most subtypes. Sex influences disease biology, treatment trajectories, and patient outcomes, however, no study to date has investigated the interaction of sex with autosomal genetic risk to JIA. Methods Genotype data from 3748 JIA cases (2551 female, 1197 male) and 9196 controls (5136 female, 4060 male) were analysed using a sex-stratified genome-wide association analysis. Systemic JIA was excluded. HLA imputation and fine-mapping were performed using SNP2HLA. Sex-specific effects were assessed using an omnibus sex-interaction test for multi-allelic amino acid positions. A subtype specific analysis was repeated in rheumatoid factor (RF) negative polyarthritis and oligoarthritis (1862 female, 718 male). Results A sex-combined analysis identified genome-wide significant (P<5x10-8) loci across the HLA region and nine loci outside the HLA region, including a novel association at rs231977 (NUPR1). Markers within the HLA region were significantly sex-dimorphic (P<5x10-8) and nine loci outside of the HLA region were suggestive for sex dimorphism (P<5x10-6), including SPRY2. HLA fine-mapping identified lysine at position 70 of HLA-B conferring greater male JIA risk, and tyrosine at position 10 of HLA-DRB1 conferring greater female JIA risk. Subtype specific analysis strengthened the association of tyrosine at position 10 of DRB1 in females. Conclusions This study provides the first evidence that autosomal genetic risk factors contribute to JIA risk in a sex-dimorphic manner, mirroring known clinical observations, and highlighting the importance of incorporating sex-stratified methods in future JIA studies.

Osteoarthritis is the most common joint disease for which disease-modifying therapies remain unavailable. Intra-articular gene delivery of interleukin-1 receptor antagonist (IL-1Ra) using high-capacity adenovirus (HCAd) has shown therapeutic promise; however, the duration of therapeutic benefit and the feasibility of repeat dosing under anti-adenoviral immunity remain unresolved. Using the murine anterior cruciate ligament transection model of osteoarthritis, we show that a single intraarticular injection of HCAd5-NF{kappa}B-IL-1Ra provides structural preservation and functional improvement in early-stage osteoarthritis but fails to sustain cartilage protection as disease progresses. However, HCAd5 transduction following repeated treatment is limited due to pre-existing immunity against this serotype. Notably, exchanging serotypes for repeated treatments effectively restores vector transduction and transgene expression in both healthy and osteoarthritic joints. Leveraging this strategy, we demonstrate that sequential intra-articular HCAd-NF{kappa}B-IL-1Ra administration does not further improve pain or motor function compared to the initial treatment, but preserves cartilage as assessed by histopathology and phase-contrast CT, irrespective of serotype. These findings establish HCAd serotype switching as a feasible approach to overcome immune barriers to repeat intra-articular gene therapy. Importantly, sequential HCAd-NF{kappa}B-IL-1Ra administration enhances therapeutic durability in post-traumatic osteoarthritis, providing a translational framework for repeat intra-articular gene delivery strategies aimed at long-term disease modification in osteoarthritis.

Introduction: Osteoarthritis (OA) is a degenerative joint condition characterized by chronic pain and the need for pain management. Locally targeting the endocytotic AP2 complex in nociceptors presents a potential strategy for providing sustained pain relief in individuals with OA. Objective: We investigated whether pain behavior associated with OA can be mitigated by genetically silencing the AP2alpha2 subunit of the AP2 complex in nociceptors and by pharmacologically inhibiting the AP2 complex through the intraarticular administration of a small lipidated decoy peptide. Method: Monoiodoacetate (MIA) was employed to induce knee joint OA in mice and rats. Pain behavior was assessed using dynamic weight-bearing and von Frey filaments. Upon confirmation of established OA pain behavior, in vivo AP2alpha2 genetic knockdown in mice was achieved through sciatic nerve transfection of a targeting AP2alpha2 short hairpin RNA (shRNA). To pharmacologically target endocytosis, a single intraarticular injection of peptide was administered into the arthritic knee of rats. The injection contained either the AP2 inhibitor peptide or a scrambled peptide control. Results: Pain behavior was significantly reduced after both genetic and pharmacological disruption of AP2-driven endocytosis. Animals treated with the Ap2 inhibitor peptide exhibited reduced pain behavior throughout the 28-day assay period. Following the completion of behavioral testing, arthritic knee joints and contralateral healthy knee joints were subsequently collected to assess the impact of the treatment on disease progression. Micro-computed tomography analysis revealed a preservation of bone volume in the arthritic joints that received the AP2 inhibitor peptide treatment, in contrast to the scrambled peptide group. Conclusion: These findings demonstrate that the inhibition of nociceptor endocytosis by a small lipidated peptide presents a promising approach to provide sustained relief from joint pain in individuals with arthritis.

Objective: Rotator cuff tears involving the supraspinatus tendon are a common cause of shoulder pain. Ultrasound (US) is accessible, dynamic, and lower cost than MRI, but diagnostic performance may vary by tear severity, operator expertise. This systematic review and meta-analysis compared the US with MRI for supraspinatus tear detection. Methods: MEDLINE, Embase, Scopus, and CINAHL Plus were searched for studies published from January 2015 to June 2026. Study quality was assessed using QUADAS-2. Diagnostic outcomes included sensitivity, specificity, accuracy, PPV, NPV. Meta-analyses were performed separately for any, partial-thickness, and full-thickness tears when complete 2 x 2 data were available. Results: 23 studies comprising 1,452 participants were included. US demonstrated stronger and more consistent performance for full-thickness than partial-thickness tears. Mean sensitivity, specificity, and accuracy were 88.5%, 95.2%, and 93.4%, respectively, for full-thickness tears, compared with 71.5%, 91.5%, and 79.2% for partial-thickness tears. HSROC analysis showed pooled sensitivity and specificity of 96% and 76% for any tear, 94% and 80% for partial-thickness tears, and 96% and 98% for full-thickness tears. Agreement measures also generally favored full-thickness tears. Operator expertise, study quality varied, and only one study evaluated a handheld ultrasound system. Conclusion: Ultrasound demonstrates strong diagnostic performance for supraspinatus tears, particularly full-thickness tears, while partial-thickness tears remain more challenging. Given the high observed sensitivity, well-performed US may serve as a practical first-line modality to rule out full-thickness tears, with MRI remaining complementary for equivocal partial-thickness tears, associated pathology, and preoperative assessment.

While progress has been made in identifying the true risk-driving single nucleotide polymorphisms (SNPS) on juvenile idiopathic arthritis (JIA) risk haplotypes, the affected cells and target genes largely remain unknown. We used data from a previously published massively parallel reporter assay (MPRA) to query human data in the Database of Immune Cell eQTLs (DICE) and the Gene-Tissue Expression (GTEx) database to identify affected cells and target genes of MPRA-identified SNPs in immune cells and relevant tissues. SNPs identified on MPRA were associated with gene expression levels in a broad range of immune cells in the DICE database, including CD4+ and CD8+ T lymphocytes, monocytes, NK cells, and B cells. MPRA-identified SNPs showed strong associations with gene expression in GTEx whole blood, spleen, and/or EBV-stimulated lymphocytes. Our data show the efficacy of combining MPRA and using human cells/tissue expression data to elucidate complex mechanisms driving genetic risk for JIA.

Knee Osteoarthritis (KOA) is a progressive whole-joint disease without approved disease modifying OA drugs (DMOADs). Effective treatments have been hindered by multiple layers of heterogeneity, including diverse disease etiology and patient-to-patient variability. Here, we present a scalable, KOA patient-derived (PD) cartilage-on-a-chip (CartChip) model integrating end-stage KOA cartilage tissue explants on a microengineered platform that, under mechanical overloading and hyperinflammatory stressors, mimics different KOA etiologies. These stressors drove distinct multivariable model features, including changes in a curated panel of anabolic and catabolic genes, extracellular matrix protein and soluble factors. Exploratory analysis of coordinated model readouts identified stressor-agnostic and -specific KOA disease signatures. Despite using KOA tissue, the model showed improvements to dexamethasone, a symptom-modifying, anti-inflammatory KOA treatment. The model responses to dexamethasone were dependent on both stressor and donor heterogeneity. Exploratory groupings of coordinated model readouts provided proof-of-concept for predicting categories of patient responsiveness to test therapeutics. Annotating patient data provided additional donor-dependent contexts for interpreting model responsiveness. PD-CartChip provides a powerful research platform to potentially surmount the donor and stressor heterogeneity barrier in developing DMOADs.

BackgroundKnee osteoarthritis (KOA) is a prevalent degenerative joint disease in which synovial inflammation and fibrosis are closely linked to pain, stiffness, and functional limitation. Growing evidence suggests that metabolic dysregulation, particularly in lipid metabolism, is involved in KOA pathogenesis, but the underlying mechanisms remain incompletely defined. MethodsSprague Dawley rats underwent bilateral anterior cruciate ligament transection to establish a KOA model; sham-operated rats served as controls. RNA sequencing of synovial tissues was performed to identify differentially expressed genes (DEGs) and enriched pathways, followed by GO/KEGG and GSEA analyses. In vivo, adeno-associated virus vectors were used to overexpress or knock down PPAR-{gamma} and phosphoenolpyruvate carboxykinase 1 (PCK1) via intra-articular injection. Ex vivo, primary rat fibroblast-like synoviocytes (FLSs) were stimulated with IL-1{beta} and transfected with PPAR-{gamma} or PCK1 siRNA/overexpression plasmids. synovitis and fibrosis were evaluated by HE, Masson, and Sirius Red staining, immunofluorescence, ELISA, RT-qPCR, and Western blotting. ResultsRNA-seq revealed 621 up-regulated and 228 down-regulated genes in KOA synovium versus sham, with DEGs significantly enriched in PPAR signaling, adipocytokine, and AMPK pathways. Metabolism-related genes including Fabp5, Plin1, Adipoq, Lep, and Pck1 were up-regulated. GSEA indicated downregulation of PPAR-{gamma} signaling in KOA synovium. In vivo and ex vivo, PPAR-{gamma} expression was reduced in KOA, whereas PCK1, FABP5, and ADIPOQ were increased. PPAR-{gamma} overexpression alleviated synovial inflammation, collagen I deposition, and fibrosis, and suppressed FABP5, ADIPOQ, and PCK1 expression; PPAR-{gamma} knockdown produced the opposite effects. Functional studies showed that PCK1 overexpression aggravated synovial inflammatory cell infiltration and fibrosis, elevated IL-1{beta}, IL-18, and TGF-{beta}, and decreased TIMP1 levels in serum, synovial tissue, and FLSs supernatants, whereas PCK1 silencing reversed these changes. ConclusionsThe PPAR-{gamma}/PCK1 metabolic axis modulates synovitis and fibrosis in KOA. Downregulation of PPAR-{gamma} and consequent upregulation of PCK1 promote synovitis and fibrotic remodeling. These findings identify the PPAR-{gamma}/PCK1 pathway as a potential therapeutic target for KOA.

Cartilage thickness on MRI is a structural biomarker of osteoarthritis (OA), yet anatomical variation and aging can mask early disease, including changes occurring 12-36 months before incident OA. We propose longitudinal local centile maps that use normative growth charts as prior information and integrate a knee's earlier scans to identify cartilage that is thinner or thicker than expected. We built the reference charts from 5,045 scans of 957 persistently radiographically normal knees in the Osteoarthritis Initiative. Under participant-separated nested cross-validation, longitudinal centile profiles achieved higher 12- and 24-month AUCs for predicting incident radiographic OA than regional PCA, radiomics, cross-sectional centile features, and raw-map deep features across most classifiers. These conventional descriptors added little when combined with centile profiles, and cross-sectional centiles added little beyond longitudinal centiles. Deep centile features achieved the best AUCs (0.954 [95% CI 0.931-0.974] at 12 months and 0.969 [0.949-0.985] at 24 months; balanced accuracy 0.917 and 0.931) and outperformed raw-map deep features in all 12 classifiers after correction for multiple comparisons. No representation consistently improved 36-month prediction. Longitudinal centiles transform cartilage thickness maps into reference-based deviation maps: deep longitudinal centile features provide the highest predictive accuracy, while regional longitudinal centile profiles provide interpretable prognosis with the second-highest accuracy.

Purpose: To determine whether a cobalt-chrome genetic reactivity (CoGR) score - originally developed to identify patients at greater risk of developing adverse reaction to metal-on-metal hips - is associated with poorer patient-reported outcomes after knee arthroplasty (KA). Methods: In a prospective multicentre study, patients at a minimum two years post all cobalt-chrome KA were invited to research clinics. Participants provided samples for blood metal ion measurements and DNA sequencing and completed Forgotten Joint Scores (FJS). Component alignment was assessed on AP and lateral plain radiographs. The association between CoGR and FJS was assessed using regression adjusted for time since surgery, age, gender, BMI and tested for modification by blood cobalt. In a case-control analysis, CoGR scores of revised patients with histologically confirmed adverse reactions to metal debris (and specifically aseptic lymphocyte-dominated vasculitis-associated lesions (ALVAL)) were compared with controls (revised patients with no signs of ARMD and unrevised patients with FJS of 75 or more) using Firth logistic regression. Results: 376 patients were included: 312 unrevised patients and 64 patients who underwent revision. Each one-unit increase in CoGR score was associated with a 9.8 point lower FJS (95% confidence interval (CI) 4.2 to 15.4 points; p < 0.001). This increased to a 17.5 (9.4 to 25.5) point reduction per CoGR score unit in patients with blood cobalt above the median level. Comparing 28 ARMD cases (12 with ALVAL) with 177 controls, each one-unit CoGR increase was associated with odds ratios of 1.90 (CI 1.34 to 2.75) for ARMD and 3.05 (CI 1.89 to 5.34) for ALVAL. Conclusions: A higher CoGR score was associated with worse patient-reported outcome and higher odds of histologically confirmed adverse reaction to metal debris at revision. Adverse immune responses may be a more significant factor in unexplained pain after KA than is generally recognised.

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 Cardiovascular disease (CVD) is a major cause of morbidity and premature mortality in people with rheumatoid arthritis (RA). Whether multidimensional cardiometabolic, inflammatory, renal, behavioral, and psychosocial factors define distinct cardiovascular risk phenotypes in RA remains unclear. This study aimed to identify data-driven phenotypes and evaluate their associations with prevalent CVD. We analyzed 3,252 adults aged over 20 years with self-reported RA from the 2005-2018 National Health and Nutrition Examination Survey (NHANES). Unsupervised partitioning around medoids (PAM) clustering using Gower distance identified distinct data-driven cardiovascular-risk profiles. Cluster validity was assessed using silhouette analysis and internal train test validation. Survey-weighted binary logistic regression evaluated associations between phenotype membership and prevalent CVD. Six clinically interpretable data-driven phenotypes were identified with varying CVD prevalence: Severe Metabolic Diabetic (40.3%), Aging Diabetic Hypertensive (34.9%), Non-Diabetic Intermediate (20.2%), Mild Metabolic (14.8%), Cardiometabolic (10.4%), and Smoking-Predominant (19.4%). Compared with the Cardiometabolic phenotype, the Severe Metabolic Diabetic phenotype exhibited the highest odds of prevalent CVD (aOR 4.11, 95%CI:2.56-6.59), followed by the Aging Diabetic-Hypertensive phenotype (aOR 3.38, 95%CI:2.22-5.15). Higher odds of prevalent CVD were also observed in the Smoking-Predominant (aOR 1.99, 95% CI: 1.26-3.13) and Non-Diabetic Intermediate (aOR 1.77, 95% CI: 1.10-2.84) phenotypes. The six-cluster solution demonstrated moderate separation and strong internal correspondence across training and testing sets, while the phenotype-informed model showed moderate discrimination for prevalent CVD (AUC = 0.72). Among adults with rheumatoid arthritis (RA), distinct data-driven phenotypes were identified based on combined patterns of metabolic, inflammatory, renal, behavioral, and psychosocial factors, with differing burdens of prevalent cardiovascular disease (CVD). Phenotype-based approaches may provide a comprehensive framework for characterizing multidimensional cardiovascular risk in RA.

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: 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.