Machine learning is a tool that may help pediatric rheumatologists distinguish between different subtypes of juvenile idiopathic arthritis (JIA) and predict treatment response.
Fecal Metabolomics Implicate Tryptophan Pathway in Pediatric Spondyloarthritis
Using metabolomic profiling of fecal samples of children with enthesitis-related arthritis (ERA), researchers found that children with ERA may have lower levels of tryptophan metabolites. This finding may be attributable to differences in the gut microbiota that contribute to their pro-inflammatory phenotype…
Enthesitis: New Insights into the Pathogenesis, Diagnostic Modalities & Treatment
Enthesitis is a central feature of spondyloarthritis (SpA). This review article summarizes the substantial progress that has been made in addressing the pathophysiology, molecular mechanisms, genetic associations, clinical features, diagnostic modalities and treatment of enthesitis. Further examination into the role of the inflammatory mediators, including IL-17, IL-22, and IL-23 as well as potentially others, in driving enthesitis and bone formation will be important to direct our attention toward future therapeutic targeted pathways in patients with SpA…
Epratuzumab Results Disappointing, but Adalimumab Promising
Two Phase 3 trials have shown that epratuzumab did not meet its primary endpoints for treating SLE. Meanwhile, a Phase 3 study has shown adalimumab is effective for treating enthesitis-related arthritis in juveniles…