The KRN mouse model of inflammatory arthritis

Abstract.: In 1996 a new murine model of spontaneous arthritis was described by the group of Benoist and Mathis. Mice transgenic for a T cell receptor recognizing an epitope of bovine RNase and bred onto a NOD background developed severe destructive arthritis, which resembles human rheumatoid arthritis in many respects. The development of disease requires the presence of T and B lymphocytes and is dependent on the MHC class II molecule I-Ag7. B cell activation by antigen and an additional CD40-CD40 ligand interaction was found to give rise to the production of autoantibodies. Glucose-6-phosphate isomerase was identified as the target of the autoantibodies; moreover, the transgenic T cells were demonstrated to exhibit a dual specificity for both bovine RNase and glucose-6-phosphate isomerase. Importantly, the arthritis is serum transferable to normal recipients, enabling the examination of the pathogenic mechanisms of joint inflammation and destruction. Recent studies suggest the crucial involvement of the innate immune system in the development of antibody-induced arthritis. Complement components, Fc receptors and neutrophils are indispensable for disease induction. An overview of the existing data is given and the emerging concepts of the pathogenesis of the K/BxN arthritis are discussed with respect to their relevance for human rheumatoid arthritis. Because of the reliable and robust induction of joint inflammation by serum transfer this new disease model has been and will be a valuable means to address the as-yet-unanswered key questions related to the development of arthriti

The long-term impact of early treatment of rheumatoid arthritis on radiographic progression: a population-based cohort study

Objective. To measure the long-term rate of radiographic progression in a cohort of patients treated early vs late with conventional DMARDs. Methods. The long-term rate of radiographic progression in patients included in the Swiss clinical quality management in rheumatoid arthritis (SCQM-RA) registry who initiated treatment with conventional DMARDs within the first year of symptom onset (early DMARD) vs patients who initiated treatment 1-5 years after symptom onset (late DMARD). Radiographic progression was assessed in 38 joints using a validated score (Ratingen Score). The rate of progression was calculated using a multivariate regression model for longitudinal data, adjusting for potential confounders. Results. A total of 970 RA patients were included. The 368 patients in the early DMARD group started therapy after a median symptom duration of 6 months, whereas the 602 patients in the late DMARD group initiated therapy after median 2.5 years. RF, MTX use and other risk factors for erosive disease progression were similar between the two groups. However, the estimated rate of radiographic progression at baseline was higher in the early DMARD vs the late DMARD group (1.8 vs 0.6, P < 0.01). In spite of this, the long-term rate of radiographic progression was significantly lower in the early DMARD group after adjustment for confounding factors (−0.35 at 5 years, P = 0.012). Conclusion. This result supports the concept of a therapeutic window of opportunity early in the disease course and suggests that early initiation of DMARD therapy results in a long-lasting reduction of radiographic damag

Chondrocalcinosis and osteoporosis in a patient with renal tubular disorder

We report the case of a 50-year old male patient presenting with a combination of chondrocalcinosis and osteoporosis related to a renal tubular disorder. Laboratory studies revealed hypokalemia, hypomagnesemia, hypocalcemia with renal wastage and metabolic alkalosis, compatible with a renal tubular transport disorder with similarities to Bartter's and Gitelman's syndrome. Calcifications of the menisci and cartilage on X-rays of knee joints suggested chondrocalcinosis, which has been associated with Gitelman's syndrome. Radiologically suspected osteopenia was confirmed by a bone density scan that revealed osteoporosis of the vertebral column. An association of osteoporosis with hypercalciuria, which commonly occurs in Bartter's syndrome patients, has been reported. Upon treatment of the renal tubular disorder with spironolactone and a thiazide diuretic in combination with calcium and magnesium supplementation, the electrolyte abnormalities resolved and arthralgias disappeared. Our case demonstrates a renal tubular dysfunction with features of both Bartter's and Gitelman's syndrome along with concurrent chondrocalcinosis and osteoporosis. Furthermore, the occurrence of osteoporosis in this relatively young patient, in the absence of other risk factors, demonstrates that renal tubular disorders should be suspected in presenile osteoporosis. Vice versa, since osteoporosis usually is asymptomatic before fracturing, patients with renal tubular disorders should be examined for osteoporosis

18F-Fluoride PET/CT for detection of sacroiliitis in ankylosing spondylitis

Purpose: The aim of this study was to evaluate the performance of 18F-fluoride-PET/CT (PET/CT) for the diagnosis of sacroiliac joint (SIJ) arthritis in patients with active ankylosing spondylitis (AS). Methods: Included in the study were 15 patients with AS according to the modified New York criteria (AS group) and with active disease and 13 patients with mechanical low back pain (MLBP; control group) who were investigated with whole-body 18F-fluoride PET/CT. The ratio of the uptake in the SIJ and that in the sacrum (SIJ/S) was calculated for every joint. Results: The mean SIJ/S ratio of 30 quantified joints in the AS group was 1.66 (range 1.10-3.07) with PET/CT, and the mean SIJ/S ratio of 26 quantified joints in the MLBP group was 1.12 (range 0.71-1.52). The area under the receiver operating characteristic curve for SIJ arthritis was 0.84. With plain radiography as a the gold standard and taking an SIJ/S ratio of >1.3 as the threshold, the sensitivity, specificity and accuracy on a per patient basis were 80%, 77% and 79%, respectively. On a per SIJ basis, the greatest sensitivity (94%) was found in grade 3 sacroiliitis (n = 16). Conclusion: Our results suggest that quantitative 18F-fluoride PET/CT may play a role in the diagnosis of sacroiliitis in active AS and is an alternative to conventional bone scintigraphy in times of molybdenum shortag

The KRN mouse model of inflammatory arthritis

In 1996 a new murine model of spontaneous arthritis was described by the group of Benoist and Mathis. Mice transgenic for a T cell receptor recognizing an epitope of bovine RNase and bred onto a NOD background developed severe destructive arthritis, which resembles human rheumatoid arthritis in many respects. The development of disease requires the presence of T and B lymphocytes and is dependent on the MHC class II molecule I-Ag7. B cell activation by antigen and an additional CD40-CD40 ligand interaction was found to give rise to the production of autoantibodies. Glucose-6-phosphate isomerase was identified as the target of the autoantibodies; moreover, the transgenic T cells were demonstrated to exhibit a dual specificity for both bovine RNase and glucose-6-phosphate isomerase. Importantly, the arthritis is serum transferable to normal recipients, enabling the examination of the pathogenic mechanisms of joint inflammation and destruction. Recent studies suggest the crucial involvement of the innate immune system in the development of antibody-induced arthritis. Complement components, Fc receptors and neutrophils are indispensable for disease induction. An overview of the existing data is given and the emerging concepts of the pathogenesis of the K/BxN arthritis are discussed with respect to their relevance for human rheumatoid arthritis. Because of the reliable and robust induction of joint inflammation by serum transfer this new disease model has been and will be a valuable means to address the as-yet-unanswered key questions related to the development of arthriti

Concurrent Oral 9 - Rheumatoid Arthritis: Aetiopathogenesis [OP59-OP64]: OP59. The Value of Interleukin-17 Serum Level in Rheumatoid Arthritis Immunopathogenesis

Background: Interleukin (IL)-17 is the main Th-1 cytokine, produced by activated T-lymphocytes. The potential IL-17 value in rheumatoid arthritis (RA) pathogenesis consists of its independent inflammatory response induction and mediated stimulation of proinflammatory factors synthesis resulting in joint destruction. The aim of study was to determine the role of IL-17 in immuno-inflammatory/autoimmune reactions development and to reveal IL-17 serum level associations with clinical and immunological characteristics of RA. Methods: 50 patients with early RA (disease duration >, Russia), anti-CCP antibodies (Axies-Shield Diagnostic, UK) were revealed using ELISA immunoassay. Results: On the base of IL-17 serum level patients were divided in two groups: group1 (n = 28) were patients with normal IL-17 serum level and group2 (n = 22) were those with high IL-17 serum level. In the group2, the rate of patients' pain assessment by visual analogue scale (67.3 ± 7.2 vs 32.8 ± 4.6; P < 0.001), tender (16.7 ± 2.0 vs 8.4 ± 1.1; P < 0.01) and swollen (12.3 ± 2.3 vs 3.9 ± 0.8; P < 0.01) joint count, DAS28 (5.0 ± 0.4 vs 2.8 ± 0.2 P < 0.01) were significantly higher compare to group1. It was found that in group2 the higher T-lymphocyte amount (CD3) was due to CD4 higher quantity, at the same time CD8 amount was significantly lower (22.2 ± 1.5% vs 28.4 ± 1.7%, P < 0.05) compare to group1. This caused the immunoregulative index increasing and indicated in the lost of autoimmune process regulation, including B-lymphocytes (CD19) activation. The CD154 expression was significantly lower in the group2 (3.4 ± 0.4% vs 10.8 ± 2.8%, P < 0.05) compare to group1. The difference in autoimmune reaction indices wasn't significant between groups except antibody-producing B-lymphocytes (13.7 ± 1.5% vs 8.5 ± 1.0%, P < 0.05) and IgM RF serum level (2.9 ± 0.3 U/ml vs 1.6 ± 0.5 U/ml, P < 0.05), which were significantly higher in group1. The IL-17 level had a positive correlative connections with DAS28 (r = 0.7; P < 0.05), circulative immune complex level (r = 0.38; P < 0.05), anti-CCP antibodies (r = 0.4; P < 0.05), IgM RF (r = 0.41; P < 0.05), CD4 (r = 0.38; P < 0.05) and negative correlative connection with CD8 (r = -0.39; P < 0.05). Conclusions: The importance of IL-17 value in immuno-inflammatory and autoimmune reactions development through T-lymphocytes activation in RA pathogenesis was confirmed. Thus the influence on T-depended immuno-inflammatory reaction products synthesis could be a new therapeutic target of RA patients' management. Disclosure statement: All authors have declared no conflicts of interes

CHONDROCALCINOSIS AND OSTEOPOROSIS IN A PATIENT WITH RENAL TUBULAR DISORDER

ABSTRACT We report the case of a 50-year old male patient presenting with a combination of chondrocalcinosis and osteoporosis related to a renal tubular disorder. Laboratory studies revealed hypokalemia, hypomagnesemia, hypocalcemia with renal wastage and metabolic alkalosis, compatible with a renal tubular transport disorder with similarities to Bartter&apos;s and Gitelman&apos;s syndrome. Calcifications of the menisci and cartilage on X-rays of knee joints suggested chondrocalcinosis, which has been associated with Gitelman&apos;s syndrome. Radiologically suspected osteopenia was confirmed by a bone density scan that revealed osteoporosis of the vertebral column. An association of osteoporosis with hypercalciuria, which commonly occurs in Bartter&apos;s syndrome patients, has been reported. Upon treatment of the renal tubular disorder with spironolactone and a thiazide diuretic in combination with calcium and magnesium supplementation, the electrolyte abnormalities resolved and arthralgias disappeared. Our case demonstrates a renal tubular dysfunction with features of both Bartter&apos;s and Gitelman&apos;s syndrome along with concurrent chondrocalcinosis and osteoporosis. Furthermore, the occurrence of osteoporosis in this relatively young patient, in the absence of other risk factors, demonstrates that renal tubular disorders should be suspected in presenile osteoporosis. Vice versa, since osteoporosis usually is asymptomatic before fracturing, patients with renal tubular disorders should be examined for osteoporosis

Explainable deep learning for disease activity prediction in chronic inflammatory joint diseases

Analysing complex diseases such as chronic inflammatory joint diseases (CIJDs), where many factors influence the disease evolution over time, is a challenging task. CIJDs are rheumatic diseases that cause the immune system to attack healthy organs, mainly the joints. Different environmental, genetic and demographic factors affect disease development and progression. The Swiss Clinical Quality Management in Rheumatic Diseases (SCQM) Foundation maintains a national database of CIJDs documenting the disease management over time for 19'267 patients. We propose the Disease Activity Score Network (DAS-Net), an explainable multi-task learning model trained on patients' data with different arthritis subtypes, transforming longitudinal patient journeys into comparable representations and predicting multiple disease activity scores. First, we built a modular model composed of feed-forward neural networks, long short-term memory networks and attention layers to process the heterogeneous patient histories and predict future disease activity. Second, we investigated the utility of the model's computed patient representations (latent embeddings) to identify patients with similar disease progression. Third, we enhanced the explainability of our model by analysing the impact of different patient characteristics on disease progression and contrasted our model outcomes with medical expert knowledge. To this end, we explored multiple feature attribution methods including SHAP, attention attribution and feature weighting using case-based similarity. Our model outperforms temporal and non-temporal neural network, tree-based, and naive static baselines in predicting future disease activity scores. To identify similar patients, a k-nearest neighbours regression algorithm applied to the model's computed latent representations outperforms baseline strategies that use raw input features representation

Explainable deep learning for disease activity prediction in chronic inflammatory joint diseases.

Analysing complex diseases such as chronic inflammatory joint diseases (CIJDs), where many factors influence the disease evolution over time, is a challenging task. CIJDs are rheumatic diseases that cause the immune system to attack healthy organs, mainly the joints. Different environmental, genetic and demographic factors affect disease development and progression. The Swiss Clinical Quality Management in Rheumatic Diseases (SCQM) Foundation maintains a national database of CIJDs documenting the disease management over time for 19'267 patients. We propose the Disease Activity Score Network (DAS-Net), an explainable multi-task learning model trained on patients' data with different arthritis subtypes, transforming longitudinal patient journeys into comparable representations and predicting multiple disease activity scores. First, we built a modular model composed of feed-forward neural networks, long short-term memory networks and attention layers to process the heterogeneous patient histories and predict future disease activity. Second, we investigated the utility of the model's computed patient representations (latent embeddings) to identify patients with similar disease progression. Third, we enhanced the explainability of our model by analysing the impact of different patient characteristics on disease progression and contrasted our model outcomes with medical expert knowledge. To this end, we explored multiple feature attribution methods including SHAP, attention attribution and feature weighting using case-based similarity. Our model outperforms temporal and non-temporal neural network, tree-based, and naive static baselines in predicting future disease activity scores. To identify similar patients, a k-nearest neighbours regression algorithm applied to the model's computed latent representations outperforms baseline strategies that use raw input features representation

Rheumatoid arthritis - clinical aspects: 134. Predictors of Joint Damage in South Africans with Rheumatoid Arthritis

Background: Rheumatoid arthritis (RA) causes progressive joint damage and functional disability. Studies on factors affecting joint damage as clinical outcome are lacking in Africa. The aim of the present study was to identify predictors of joint damage in adult South Africans with established RA. Methods: A cross-sectional study of 100 black patients with RA of >5 years were assessed for joint damage using a validated clinical method, the RA articular damage (RAAD) score. Potential predictors of joint damage that were documented included socio-demographics, smoking, body mass index (BMI), disease duration, delay in disease modifying antirheumatic drug (DMARD) initiation, global disease activity as measured by the disease activity score (DAS28), erythrocyte sedimentation rate (ESR), C reactive protein (CRP), and autoantibody status. The predictive value of variables was assessed by univariate and stepwise multivariate regression analyses. A p value <0.05 was considered significant. Results: The mean (SD) age was 56 (9.8) years, disease duration 17.5 (8.5) years, educational level 7.5 (3.5) years and DMARD lag was 9 (8.8) years. Female to male ratio was 10:1. The mean (SD) DAS28 was 4.9 (1.5) and total RAAD score was 28.3 (12.8). The mean (SD) BMI was 27.2 kg/m2 (6.2) and 93% of patients were rheumatoid factor (RF) positive. More than 90% of patients received between 2 to 3 DMARDs. Significant univariate predictors of a poor RAAD score were increasing age (p = 0.001), lower education level (p = 0.019), longer disease duration (p < 0.001), longer DMARD lag (p = 0.014), lower BMI (p = 0.025), high RF titre (p < 0.001) and high ESR (p = 0.008). The multivariate regression analysis showed that the only independent significant predictors of a higher mean RAAD score were older age at disease onset (p = 0.04), disease duration (p < 0.001) and RF titre (p < 0.001). There was also a negative association between BMI and the mean total RAAD score (p = 0.049). Conclusions: Patients with longstanding established RA have more severe irreversible joint damage as measured by the clinical RAAD score, contrary to other studies in Africa. This is largely reflected by a delay in the initiation of early effective treatment. Independent of disease duration, older age at disease onset and a higher RF titre are strongly associated with more joint damage. The inverse association between BMI and articular damage in RA has been observed in several studies using radiographic damage scores. The mechanisms underlying this paradoxical association are still widely unknown but adipokines have recently been suggested to play a role. Disclosure statement: C.I. has received a research grant from the Connective Tissue Diseases Research Fund, University of the Witwatersrand. All other authors have declared no conflicts of interes