COVID-19 and RA share SPP1 myeloid pathway that drives PD-L1pos neutrophils and CD14pos monocytes

We explored the potential link between chronic inflammatory arthritis and COVID-19 pathogenic and resolving macrophage pathways and their role in COVID-19 pathogenesis. We found that BALF macrophage clusters FCN1pos and FCN1posSPP1pos predominant in severe COVID-19 were transcriptionally related to synovial tissue macrophage (STM) clusters CD48highS100A12pos and CD48posSPP1pos that drive Rheumatoid Arthritis (RA) synovitis. BALF macrophage cluster FABP4pos predominant in healthy lung was transcriptionally related to STM cluster TREM2pos that governs resolution of synovitis in RA remission. Plasma concentrations of SPP1 and S100A12 (key products of macrophage clusters shared with active RA) were high in severe COVID-19 and predicted the need for Intensive Care Unit transfer, and remained high in post-COVID-19 stage. High plasma levels of SPP1 were unique to severe COVID-19 when compared to other causes of severe pneumonia, and immunohistochemistry localized SPP1pos macrophages in the alveoli of COVID-19 lung. Investigation into SPP1 mechanisms of action revealed that it drives pro-inflammatory activation of CD14pos monocytes and development of PD-L1pos neutrophils, both hallmarks of severe COVID-19. In summary, COVID-19 pneumonitis appears driven by similar pathogenic myeloid cell pathways as those in RA, and their mediators such as SPP1 might be an upstream activator of the aberrant innate response in severe COVID-19 and predictive of disease trajectory including post-COVID-19 monitoring

Geographical heterogeneity of clinical and serological phenotypes of systemic sclerosis observed at tertiary referral centres. The experience of the Italian SIR-SPRING registry and review of the world literature

Introduction: Systemic sclerosis (SSc) is characterized by a complex etiopathogenesis encompassing both host genetic and environmental -infectious/toxic- factors responsible for altered fibrogenesis and diffuse microangiopathy. A wide spectrum of clinical phenotypes may be observed in patients' populations from different geographical areas. We investigated the prevalence of specific clinical and serological phenotypes in patients with definite SSc enrolled at tertiary referral centres in different Italian geographical macro-areas. The observed findings were compared with those reported in the world literature.Materials and methods: The clinical features of 1538 patients (161 M, 10.5%; mean age 59.8 +/- 26.9 yrs.; mean disease duration 8.9 +/- 7.7 yrs) with definite SSc recruited in 38 tertiary referral centres of the SPRING (Systemic sclerosis Progression INvestiGation Group) registry promoted by Italian Society of Rheumatology (SIR) were obtained and clustered according to Italian geographical macroareas.Results: Patients living in Southern Italy were characterized by more severe clinical and/or serological SSc phenotypes compared to those in Northern and Central Italy; namely, they show increased percentages of diffuse cutaneous SSc, digital ulcers, sicca syndrome, muscle involvement, arthritis, cardiopulmonary symptoms, interstitial lung involvement at HRCT, as well increased prevalence of serum anti-Scl70 autoantibodies. In the same SSc population immunusppressive drugs were frequently employed. The review of the literature underlined the geographical heterogeneity of SSc phenotypes, even if the observed findings are scarcely comparable due to the variability of methodological approaches.Conclusion: The phenotypical differences among SSc patients' subgroups from Italian macro-areas might be correlated to genetic/environmental co-factors, and possibly to a not equally distributed national network of information and healthcare facilities

Residual minimal disease activity in rheumatoid arthritis: a simple definition through an in-depth statistical analysis of the major outcome

Objective. To obtain the simplest definition of minimal disease activity (MDA) and to compare it with published proposed definitions of MDA in patients with RA.Methods. Two hundred and fourteen patients with long-standing RA (LSRA) were evaluated for clinical and laboratory parameters. Factor analysis was performed to remove redundant variables included in the core set measure for MDA definition stated by the OMERACT. Receiver operating characteristic (ROC) curves analysis allowed to obtain optimal cut-off predictors of a 28-joint disease activity score (DAS28) <= 2.85. These were tested in 112 LSRA and 95 early-onset RA (ERA) patients.Results. Factor and ROC curve analysis showed that the best predictors of a DAS28 <= 2.85 in LSRA cohort were: (i) ESR < 20 mm/h (sensitivity: 80%, specificity: 54%); (ii) swollen joint count (out of 28) <= 2 (sensitivity: 95%, specificity: 74%); (iii) patient global assessment (0-100) <= 15 (sensitivity: 78%, specificity: 78%); and (iv) HAQ (0-3) <= 0.5 (sensitivity: 91%, specificity: 61%). To each of these four criteria we assigned a value of 1 when it was satisfied (score ranging: 0-4). The cut-off with the highest overall accuracy for identifying RA patients with DAS28 <= 2.85 was a score >= 3. We adopted these four parameters in order to define the residual MDA (RMDA). Comparing RMDA criteria, in distinct 112 LSRA and 95 ERA patients, with OMERACT, Simplified Disease Activity Index and Clinical Disease Activity Index definitions of MDA, we found a good agreement in the LSRA cohort and moderate agreement in the ERA cohort.Conclusions. HAQ, PaGA, SJC28 and ESR allow identification of RA patients with an RMDA. The RMDA criteria behaves similarly to OMERACT definitions, but appears more simple and feasible

The role of PET/CT in connective tissue disorders: systemic sclerosis, Sjögren's syndrome and systemic lupus erythematosus

Advanced imaging techniques are needed to help clinicians in the diagnosis, in the choice of the right time for therapeutic interventions or for modifications and monitoring of treatment response in patients with autoimmune connective tissue diseases. Nuclear medicine imaging, especially PET/CT and PET/MRI, may play an important role in detecting disease activity, assessing early treatment response as well as in clarifying the complex mechanisms underlying systemic sclerosis, Sjögren's syndrome or systemic lupus erythematosus. In addition, [18F]FDG PET/CT may help in excluding or detecting coexisting malignancies. Other more specific radiopharmaceuticals are being developed and investigated, targeting specific cells and molecules involved in connective tissue diseases. Further larger studies with standardized imaging protocol and image interpretation are strongly required before including PET/CT in the diagnostic work-up of subsets of patients with autoimmune connective tissue diseases