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- Frisell, Thomas, et al.
(författare)
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Comparative effectiveness of abatacept, rituximab, tocilizumab and TNFi biologics in RA : Results from the nationwide Swedish register
- 2019
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Ingår i: Rheumatology (United Kingdom). - : Oxford University Press (OUP). - 1462-0324 .- 1462-0332. ; 58:8, s. 1367-1377
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: Current guidelines rank abatacept, rituximab, tocilizumab and TNF-inhibitors (TNFi) as having equal effectiveness for the treatment of RA, at least as second line therapies. These recommendations are mainly based on meta-analysis of randomized controlled trials, with few direct drug-drug comparisons. Our objective was to compare the real-world absolute and relative effectiveness among RA patients starting any of the available biologic DMARDs (bDMARDs). Methods: We used the Swedish Rheumatology Register to identify patients with RA initiating TNFi, rituximab, abatacept or tocilizumab in 2010-2016 as first bDMARD (n = 9333), or after switch from TNFi as first bDMARD (n = 3941). National Swedish registers provided additional covariates and censoring events. Effectiveness was assessed 3 and 12 months after treatment start, as the proportion remaining on therapy and with EULAR Good Response, HAQ improvement >0.2, zero swollen/tender joints and CDAI remission. Adjusted differences were estimated with multivariable linear regression. Results: Patients starting non-TNFi (vs TNFi) as first bDMARD had a higher proportion remaining on drug and reaching most response outcomes as first bDMARD (1-year EULAR Good Response/HAQ improvement: TNFi 24.9/25.4%, rituximab 28.6/37.2%, abatacept 31.9/33.7%, tocilizumab 50.9/43.1%). After switch from a first TNFi, rituximab and tocilizumab, but not abatacept, were associated with significantly better response measures than TNFi (1-year EULAR Good Response/HAQ improvement: TNFi 11.6/16.1%, rituximab 24.8/33.2%, abatacept 13.1/17.5%, tocilizumab 34.1/29.4%). Differences remained significant after adjusting for potential confounders. Conclusion: Treatment outcomes among RA patients treated in Swedish clinical practice are in line with a superior effectiveness of non-TNFi bDMARDs, in particular tocilizumab and rituximab, compared with TNFi.
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| 2. |
- Gunnarsson, I, et al.
(författare)
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Association between ongoing anti-C1q antibody production in peripheral blood and proliferative nephritis in patients with active systemic lupus erythematosus.
- 1997
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Ingår i: British Journal of Rheumatology. - : Oxford University Press (OUP). - 0263-7103 .- 1460-2172. ; 36, s. 32-
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Tidskriftsartikel (refereegranskat)abstract
- The aim of this study was to compare ongoing production of anti-C1q antibodies (anti-C1q) in peripheral blood with serum anti-C1q levels in patients with systemic lupus erythematosus (SLE), especially in patients with nephritis. Using the ELISPOT technique for the detection of IgG and IgA anti-C1q production, 21 patients with active SLE were investigated. ELISAs for IgG and IgA anti-C1q were compared with the ELISPOT results. Six of the patients were found to have proliferative nephritis (WHO grade III/IV) confirmed by renal biopsy. High numbers of IgG anti-C1q spot-forming cells (SFC), defined as > 20/10(5) plated peripheral blood mononuclear cells (PBMC), were exclusively observed in patients with proliferative nephritis (P < 0.0001). Serum levels of IgG anti-C1q were significantly increased in patients with proliferative nephritis (P = 0.039). High ongoing IgG anti-C1q production was observed in all patients with proliferative nephritis, which may be a contributory factor in the pathogenesis of this disorder. The detection of IgG anti-C1q production may be valuable in the clinical investigation of patients with suspected SLE nephritis.
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| 3. |
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| 4. |
- Larsson, E, et al.
(författare)
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Corticosteroid treatment of experimental arthritis retards cartilage destruction as determined by histology and serum COMP
- 2004
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Ingår i: Rheumatology. - : Oxford University Press (OUP). - 1462-0332 .- 1460-2172 .- 1462-0324. ; 43:4, s. 428-434
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Tidskriftsartikel (refereegranskat)abstract
- Objective. To examine if changes in serum cartilage oligomeric matrix protein (COMP) correlate with the development of cartilage damage, as measured by histological grading, in corticosteroid-treated animals with collagen-induced arthritis (CIA). Methods. DA rats with established CIA were treated with corticosteroids (betamethasone, 0.1 mg/kg body weight) or placebo (saline) intraperitoneally once daily after reaching an arthritis score exceeding 1. The treatment continued throughout the study. Arthritis progression was monitored by clinical scoring of paws, serial measurements of serum COMP and fibrinogen, and histological grading of paws. Results. Corticosteroid treatment reduced clinical signs of arthritis compared with placebo (arthritis score reduced, P < 0.01 at day 25). Corticosteroid treatment also reduced fibrinogen levels compared with placebo (P < 0.01). The morphological changes in the joint were less severe in the corticosteroid-treated animals (median cartilage score 4 in the placebo group, 0 in the corticosteroid-treated group; P < 0.01). The levels of COMP remained unchanged during treatment in the corticosteroid-treated arthritic animals, whereas an increase in levels of COMP was observed in rats treated with placebo (P < 0.01). There was a correlation between serum COMP and the extent of cartilage destruction at day 25 after immunization (r=0.77, P < 0.001). Conclusions. Corticosteroids given therapeutically to arthritic rats diminish joint destruction histologically, and stable serum COMP levels reflect this effect.
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| 5. |
- Larsson, E, et al.
(författare)
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Serum concentrations of cartilage oligomeric matrix protein, fibrinogen and hyaluronan distinguish inflammation and cartilage destruction in experimental arthritis in rats.
- 2002
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Ingår i: Rheumatology. - : Oxford University Press (OUP). - 1462-0332 .- 1460-2172 .- 1462-0324. ; 41, s. 996-
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVES:We investigated if changes in serum/plasma fibrinogen (FIB), hyaluronan (HA) and cartilage oligomeric matrix protein (COMP) levels can be used to differentiate between inflammation and cartilage involvement during arthritis. METHODS:Collagen-induced arthritis (CIA), oil-induced arthritis (OIA) and for comparison, experimental autoimmune encephalitis (EAE) induced in DA rats were investigated. RESULTS:Elevations of FIB concentrations were apparent at days 4-7 post-immunization in both arthritis models reaching a maximum on day 20-21, i.e. before peak arthritis. Elevations of HA in both models were seen shortly before macroscopically apparent arthritis, and peaked at or just before maximal arthritis, i.e. later in CIA than in OIA. COMP levels increased only after onset of arthritis and peaked late in disease (days 34-37), being significantly higher in the more destructive CIA compared with the less destructive OIA. During EAE flares, only FIB levels increased. CONCLUSIONS:FIB is a general inflammation marker, HA appears to be a marker for synovitis and changes in COMP levels appear to reflect the cartilage destruction process.
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| 8. |
- Yoosuf, N, et al.
(författare)
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Early prediction of clinical response to anti-TNF treatment using multi-omics and machine learning in rheumatoid arthritis
- 2022
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Ingår i: Rheumatology (Oxford, England). - : Oxford University Press (OUP). - 1462-0332 .- 1462-0324. ; 61:4, s. 1680-1689
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Tidskriftsartikel (refereegranskat)abstract
- ObjectivesAdvances in immunotherapy by blocking TNF have remarkably improved treatment outcomes for Rheumatoid arthritis (RA) patients. Although treatment specifically targets TNF, the downstream mechanisms of immune suppression are not completely understood. The aim of this study was to detect biomarkers and expression signatures of treatment response to TNF inhibition.MethodsPeripheral blood mononuclear cells (PBMCs) from 39 female patients were collected before anti-TNF treatment initiation (day 0) and after 3 months. The study cohort included patients previously treated with MTX who failed to respond adequately. Response to treatment was defined based on the EULAR criteria and classified 23 patients as responders and 16 as non-responders. We investigated differences in gene expression in PBMCs, the proportion of cell types and cell phenotypes in peripheral blood using flow cytometry and the level of proteins in plasma. Finally, we used machine learning models to predict non-response to anti-TNF treatment.ResultsThe gene expression analysis in baseline samples revealed notably higher expression of the gene EPPK1 in future responders. We detected the suppression of genes and proteins following treatment, including suppressed expression of the T cell inhibitor gene CHI3L1 and its protein YKL-40. The gene expression results were replicated in an independent cohort. Finally, machine learning models mainly based on transcriptomic data showed high predictive utility in classifying non-response to anti-TNF treatment in RA.ConclusionsOur integrative multi-omics analyses identified new biomarkers for the prediction of response, found pathways influenced by treatment and suggested new predictive models of anti-TNF treatment in RA patients.
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| 9. |
- Zhang, L, et al.
(författare)
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Using human genetics to understand the epidemiological association between obesity, serum urate, and gout
- 2023
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Ingår i: Rheumatology (Oxford, England). - : Oxford University Press (OUP). - 1462-0332 .- 1462-0324. ; 62:10, s. 3280-3290
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Tidskriftsartikel (refereegranskat)abstract
- ObjectivesWe aimed to clarify the genetic overlaps underlying obesity-related traits, serum urate, and gout.MethodsWe conducted a comprehensive genome-wide cross-trait analysis to identify genetic correlation, pleiotropic loci, and causal relationships between obesity (the exposure variable), gout (the primary outcome) and serum urate (the secondary outcome). Summary statistics were collected from the hitherto largest genome-wide association studies conducted for BMI (N = 806 834), waist-to-hip ratio (WHR; N = 697 734), WHR adjusted for BMI (WHRadjBMI; N = 694 649), serum urate (N = 288 649), and gout (Ncases = 13 179 and Ncontrols = 750 634).ResultsPositive overall genetic correlations were observed for BMI (rg = 0.27, P = 6.62 × 10−7), WHR (rg = 0.22, P = 6.26 × 10−7) and WHRadjBMI (rg = 0.07, P = 6.08 × 10−3) with gout. Partitioning the whole genome into 1703 LD (linkage disequilibrium)-independent regions, a significant local signal at 4q22 was identified for BMI and gout. The global and local shared genetic basis was further strengthened by the multiple pleiotropic loci identified in the cross-phenotype association study, multiple shared gene–tissue pairs observed by Transcriptome-wide association studies, as well as causal relationships demonstrated by Mendelian randomization [BMI–gout: OR (odds ratio) = 1.66, 95% CI = 1.45, 1.88; WHR–gout: OR = 1.57, 95% CI = 1.37, 1.81]. Replacing the binary disease status of gout with its latent pathological measure, serum urate, a similar pattern of correlation, pleiotropy and causality was observed with even more pronounced magnitude and significance.ConclusionOur comprehensive genome-wide cross-trait analysis demonstrates a shared genetic basis and pleiotropic loci, as well as a causal relationship between obesity, serum urate, and gout, highlighting an intrinsic link underlying these complex traits.
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