No abstract

Axial spondyloarthritis (axSpA) is a chronic inflammatory disease that can lead to ankylosis by secondary ossification of inflammatory lesions, with progressive disability and a significant impact on quality of life. It is also a risk factor for the occurrence of comorbidities, especially cardiovascular diseases (CVDs), mood disorders, osteoporosis, and malignancies. Early diagnosis and treatment are needed to prevent or decrease functional decline and to improve the patient’s prognosis. In respect of axSpA, there is an unmet need for biomarkers that can help to diagnose the disease, define disease activity and prognosis, and establish personalized treatment approaches. The aim of this review was to summarize the available information regarding the most promising biomarkers for axSpA. We classified and identified six core categories of biomarkers: (i) systemic markers of inflammation; (ii) molecules involved in bone homeostasis; (iii) HLA-B27 and newer genetic biomarkers; (iv) antibody-based biomarkers; (v) microbiome biomarkers; and (vi) miscellaneous biomarkers. Unfortunately, despite efforts to validate new biomarkers, few of them are used in clinical practice; however, we believe that these studies provide useful data that could aid in better disease management.

The objective of this study was to identify predictors for remission or low disease activity (LDA) in established rheumatoid arthritis (RA) at 12 months of anti-TNF-α therapy. We have performed a prospective observational study in 90 consecutive patients with active RA receiving TNF-α inhibitors. Baseline and standard assessments were done every 3 months, including individual parameters (clinical and biological) and composite activity scores (28-joint disease activity score, DAS28). The primary outcome measure was DAS28-based EULAR response criteria. The multivariate logistic regression was used to analyze the association between disease activity and several RA baseline characteristics. Of the RA, 78.8 % was classified as good responders based on the EULAR-DAS28 criteria, 44.4 % RA achieving remission (DAS28 ≤ 2.6) and 34.4 %, LDA (DAS28 ≤ 3.2). Parameters associated with an increased likelihood of remission and LDA were initial DAS28-erythrocyte sedimentation rate ≤ 7 (odds ratio (OR) 3.3, 95 % confidence interval (CI) 2.03-5.81; OR 1.8, 95 % CI 1.09-6.68), Health Assessment Questionnaire Disability Index ≤  2 (OR 7.0, 95 % CI 1.56-31.91; OR 1.3, 95 % CI 1.03-5.79), C-reactive protein level ≤ 20 mg/l (OR 1.5, 95 % CI 0.29-8.22; OR 0.5, 95 % CI0.08-2.97), rheumatoid factor ≤ 20 IU/ml (OR 18.9, 95 % CI 10.79-38.36; OR 32.9, 95 % CI 4.03-269), anti-cyclic citrullinated peptide antibodies ≤ 40 IU/ml (OR 3.5, 95 % CI 0.67-18.19; OR 1.2, 95 % CI 1.02-1.59), concurrent prednisolone (OR 0.2, 95 % CI 0.05-0.36; OR 0.2, 95 % CI 0.06-0.63), methotrexate or leflunomide (OR 1.6, 95 % CI 1.2-13.53; OR 2.9, 95 % CI 1.20-4.36). A predictive matrix for remission and LDA in established active RA patients receiving TNF-α inhibitors was proposed. Further studies are necessary to confirm the value of such matrix in particular RA settings, leading to optimization of the use of anti-TNF-α therapy.