Localized scleroderma (LS) is a disfiguring autoimmune disease of the skin and underlying tissue that mainly affects the pediatric population. Inflammation of the tissue leads to fibrosis and atrophy, causing physical and psychological disability that can continue throughout childhood into adulthood. Available therapies for LS have had variable effects and are associated with morbidity themselves. A better understanding of the pathophysiology of LS, especially during the active inflammatory phase, would lead to more directed and efficacious therapies. As in systemic sclerosis (SSc), the other form of scleroderma, T-helper (Th) cells and their associated cytokines have been suggested to contribute significantly to the pathophysiology of LS supported by the presence of cytokines from these lineages in the sera and tissue of LS patients. It is postulated that the imbalance between Th1/Th2/Th17 cell subsets drives inflammation in the early stages of disease (Th1 and Th17 predominant) and fibrosis in the later stages of scleroderma (Th2 predominant). We review the available experimental data regarding cytokines in LS and compare them to available clinical disease severity and activity features. This provides the platform to launch further investigations into the role of select cytokines in the pathogenesis of LS and to provide directed therapeutic options in the future.
Objective To evaluate peripheral blood T-helper (TH) cell associated cytokine and chemokine profiles in localized scleroderma (LS), and correlate them with clinical disease features, including disease activity parameters. Methods A 29-plex Luminex platform was used to analyze the humoral profile of plasma samples from 69 pediatric LS patients and 71 healthy pediatric controls. Cytokine/chemokine levels were compared between these two groups and within LS patients, focusing on validated clinical outcome measures of disease activity and damage in LS. Results Plasma levels of IP-10, MCP-1, IL-17a, IL-12p70, GM-CSF, PDGF-bb, IFN-α2, and IFN-γ were significantly higher in LS compared to healthy controls. Analysis within the LS group demonstrated IP-10, TNF-α and GM-CSF correlated with clinical measures of disease activity. Several cytokines/chemokines correlated with anti-histone antibody, while only a few correlated with positive ANA and single-stranded DNA antibody. Conclusion This is the first time that multiple cytokines and chemokines have been examined simultaneously LS. In general, a TH-1 (IFN-γ) and TH-17 (IL-17a) predominance was demonstrated in LS compared to healthy controls. There is also an IFN–γ signature with elevated IP-10, MCP-1 and IFN-γ, which has been previously demonstrated in systemic sclerosis, suggesting a shared pathophysiology. Within the LS patients, those with active disease demonstrated IP-10, TNF-α and GM-CSF, which may potentially serve as biomarkers of disease activity in the clinical setting.
Background Localized scleroderma (LS) is an autoimmune condition of the skin and underlying tissue. Active or recurring disease can lead to cumulative tissue damage, especially in paediatric-onset disease. Objectives To highlight the rate of relapse of LS activity in a cohort of paediatric patients and to evaluate for potential clinical and laboratory predictors of disease relapse.Methods Clinical and laboratory data were gathered prospectively. Patients were categorized as experiencing relapse or not, and clinical and laboratory parameters were compared. A logistic regression was fit to predict odds of relapse while controlling for multiple predictors. A subgroup of patients was also evaluated to determine the average time from treatment completion to relapse. Results Seventy-seven patients were followed for the identified study duration of > 2 years and had achieved disease remission, with 35 (45%) experiencing LS relapse. Patients who were older at disease onset, antinuclear antibody (ANA) positive and without an extracutaneous manifestation (ECM) were more likely to relapse. All three variables remained significant in the multivariable logistic regression model. Results of the subgroup mirrored the larger sample. The average time between treatment completion and relapse was 21 months. Conclusions Assessment of patients with LS experiencing a relapse of disease activity has shown older age of initial LS onset and ANA positivity to be potential markers for risk of relapse. Patients meeting these parameters may require greater clinical vigilance. The presence of one or more ECM may be protective. Clinicians treating patients with LS should provide significant long-term follow-up to monitor for relapse.
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