ABSTRACT
Neutrophils, known to be mobilized and activated in high amounts through Il-17 stimulation, are a key factor for clinical manifestation and imbalance of redox systems favoring a dominant oxidative state in both severe asthma and acute lung injury (f). The aim of this study was to evaluate in mice, the effect of Secukinumab (SECU) in a model of ovalbumin-induced asthma exacerbated with LPS administration to induce ALI, compared to dexamethasone (DEXA), already known for its benefit in both asthma and ALI. Results on cytokine levels for specific Th1, Th2 and Th17 revealed an interplay of immune responses. For Th1 effector cytokines in BALF, DEXA treatment increased TNF-α levels, but TNF-α was not modified by SECU; DEXA and SECU significantly decreased IFN-γ and IL-6 levels. For typical Th2 cytokines, DEXA significantly increased Il-4, Il-5 and Il-13 levels, while SECU significantly inhibited Il-5 levels. Both SECU and DEXA significantly decreased Il-17 levels. Cytokine level changes in lung tissue homogenate were partly similar to BALF cytokines. Conclusion: in addition to DEXA, SECU possesses the ability to modulate inflammatory cytokine release and to decrease Th17 responses in ALI overlapped on exacerbated asthma in mice.
ABSTRACT
Objective: To assess intercentre variability in the ACR core set measures, DAS28 based on three variables (DAS28v3) and Routine Assessment of Patient Index Data 3 in a multinational study. Methods: Seven thousand and twenty-three patients were recruited (84 centres; 30 countries) using a standard protocol in the Quantitative Standard Monitoring of Patients with RA study. Analysis of variance (ANOVA) and mixed-effect analysis of covariance models were used to model the relationship between study centre and different patient-reported and physician-reported RA activity measures. These models were built to adjust for the remaining ACR core set measure (for each ACR core set measure or each composite index), socio-demographics and medical characteristics. ANOVA and analysis of covariance models yielded similar results, and ANOVA tables were used to present variance attributable to recruiting centre. Results: The proportion of variances attributable to recruiting centre was lower for patient reported outcomes (PROs: pain, HAQ, patient global) compared with objective measures (joint counts, ESR, physician global) in all models. In the full model, variance in PROs attributable to recruiting centre ranged from 1.53% for patient global to 3.71% for HAQ compared with objective measures that ranged from 5.92% for physician global to 9.25% for ESR; and was lower for Routine Assessment of Patient Index Data 3 (2.6%) compared with DAS28v3 (11.75%). Conclusion: Intercentre variability in PROs is lower than objective measures of RA activity demonstrating that PROs may be more comparable across centres, and the need for standardization of objective measures.
