A multiparametric risk table for loss of clinical remission status in patients with rheumatoid arthritis: A starter study post-hoc analysis.

OBJECTIVE: This post-hoc analysis was carried out on data acquired in the longitudinal Sonographic Tenosynovitis/arthritis Assessment in Rheumatoid Arthritis Patients in Remission (STARTER) study. Its primary aim was to determine the predictive clinical and MSUS features factors for disease flare in RA patients in clinical remission, whilst its secondary aim was to evaluate the probability of disease flare based on clinical and MSUS features. METHODS: The analysis included a total of 389 RA patients in DAS28-defined remission. All patients underwent a MSUS examination according to OMERACT guidelines. Logistic regression and results presented as OR and 95%CI were used for the evaluation of the association between selected variables and disease flare. Significant clinical and MSUS features were incorporated into a risk table to predict disease flare within 12 months in RA remission patients. RESULTS: Within 12 months, 137(35%) RA patients experienced a disease flare. RA patients who experienced a flare disease differed from persistent remission for ACPA positivity (75.9%vs62.3%; p= 0.007), percentage of sustained clinical remission at baseline (44.1%vs68.5%; p= 0.001) and synovium PD signal presence (58.4%vs33.3%; p< 0.001). Based on these results, the three features were considered in a predictive model of disease flare with adjOR 3.064(95%CI 1.728-5.432). Finally, a risk table was constructed including the three significant predictive factors of disease flare within 12 months from the enrolment. CONCLUSION: An adaptive flare prediction model tool, based on data available in outpatient setting, were developed as a multiparametric risk table. If confirmed by the external validation, this tool might support the definition of therapeutic strategies in RA patients in DAS28-defined remission status.

Characteristics associated with poor COVID-19 outcomes in individuals with systemic lupus erythematosus: data from the COVID-19 Global Rheumatology Alliance.

AIM: To determine characteristics associated with more severe outcomes in a global registry of people with systemic lupus erythematosus (SLE) and COVID-19. METHODS: People with SLE and COVID-19 reported in the COVID-19 Global Rheumatology Alliance registry from March 2020 to June 2021 were included. The ordinal outcome was defined as: (1) not hospitalised, (2) hospitalised with no oxygenation, (3) hospitalised with any ventilation or oxygenation and (4) death. A multivariable ordinal logistic regression model was constructed to assess the relationship between COVID-19 severity and demographic characteristics, comorbidities, medications and disease activity. RESULTS: A total of 1606 people with SLE were included. In the multivariable model, older age (OR 1.03, 95% CI 1.02 to 1.04), male sex (1.50, 1.01 to 2.23), prednisone dose (1-5 mg/day 1.86, 1.20 to 2.66, 6-9 mg/day 2.47, 1.24 to 4.86 and ≥10 mg/day 1.95, 1.27 to 2.99), no current treatment (1.80, 1.17 to 2.75), comorbidities (eg, kidney disease 3.51, 2.42 to 5.09, cardiovascular disease/hypertension 1.69, 1.25 to 2.29) and moderate or high SLE disease activity (vs remission; 1.61, 1.02 to 2.54 and 3.94, 2.11 to 7.34, respectively) were associated with more severe outcomes. In age-adjusted and sex-adjusted models, mycophenolate, rituximab and cyclophosphamide were associated with worse outcomes compared with hydroxychloroquine; outcomes were more favourable with methotrexate and belimumab. CONCLUSIONS: More severe COVID-19 outcomes in individuals with SLE are largely driven by demographic factors, comorbidities and untreated or active SLE. Patients using glucocorticoids also experienced more severe outcomes.

Increased COVID-19 mortality in patients with rheumatic diseases: results from the CONTROL-19 study by the Italian Society for Rheumatology.

OBJECTIVES: To investigate differences in coronavirus disease 2019 (COVID-19) mortality between patients with rheumatic musculoskeletal diseases (RMD) and the general population in Italy. METHODS: We analysed the data from the national surveillance study promoted by the Italian Society for Rheumatology (CONTROL-19 database) including patients with RMD and COVID-19 between 26 March 2020 and 29 November 2020, compared with official data from the Italian population (within the same period) adjusted for age, sex and geographic location. The main outcome of the analyses was mortality. The relationship between RMD and mortality was analysed using adjusted logistic models and sensitivity analyses were conducted to support the robustness of our results. RESULTS: We included 668 RMD patients (62.7% with inflammatory arthritis, 28.6% with systemic autoimmune diseases), who had a mean age of 58.4 years and of which 66% were female. Compared to the general population, the RMD population showed an increased risk of death (OR 3.10 (95% CI 2.29-4.12)), independently from the differences in age and sex distribution. Even after considering the potential influence of surveillance bias, the OR was 2.08 (95% CI: 1.55-2.73). Such excess of risk was more evident in the subgroup of younger patients, and more consistent in women. Subjects with systemic autoimmune diseases showed a higher risk of death than patients with any other RMDs. CONCLUSIONS: Patients with RMD and COVID-19 infection evidenced a significant increase in mortality during the first pandemic phases in Italy. These findings support the need for strong SARS-CoV-2 prevention in patients with rheumatic diseases.

COVID-19 in rheumatic diseases in Italy: first results from the Italian registry of the Italian Society for Rheumatology (CONTROL-19).

OBJECTIVES: Italy was one of the first countries significantly affected by the coronavirus disease 2019 (COVID-19) epidemic. The Italian Society for Rheumatology promptly launched a retrospective and anonymised data collection to monitor COVID-19 in patients with rheumatic and musculoskeletal diseases (RMDs), the CONTROL-19 surveillance database, which is part of the COVID-19 Global Rheumatology Alliance. METHODS: CONTROL-19 includes patients with RMDs and proven severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) updated until May 3rd 2020. In this analysis, only molecular diagnoses were included. The data collection covered demographic data, medical history (general and RMD-related), treatments and COVID-19 related features, treatments, and outcome. In this paper, we report the first descriptive data from the CONTROL-19 registry. RESULTS: The population of the first 232 patients (36% males) consisted mainly of elderly patients (mean age 62.2 years), who used corticosteroids (51.7%), and suffered from multi-morbidity (median comorbidities 2). Rheumatoid arthritis was the most frequent disease (34.1%), followed by spondyloarthritis (26.3%), connective tissue disease (21.1%) and vasculitis (11.2%). Most cases had an active disease (69.4%). Clinical presentation of COVID-19 was typical, with systemic symptoms (fever and asthenia) and respiratory symptoms. The overall outcome was severe, with high frequencies of hospitalisation (69.8%), respiratory support oxygen (55.7%), non-invasive ventilation (20.9%) or mechanical ventilation (7.5%), and 19% of deaths. Male patients typically manifested a worse prognosis. Immunomodulatory treatments were not significantly associated with an increased risk of intensive care unit admission/mechanical ventilation/death. CONCLUSIONS: Although the report mainly includes the most severe cases, its temporal and spatial trend supports the validity of the national surveillance system. More complete data are being acquired in order to both test the hypothesis that RMD patients may have a different outcome from that of the general population and determine the safety of immunomodulatory treatments.

COVID-19 prognosis in systemic lupus erythematosus compared with rheumatoid arthritis and spondyloarthritis: results from the CONTROL-19 Study by the Italian Society for Rheumatology.

INTRODUCTION: Data concerning SARS-CoV-2 in patients affected by SLE are contradicting.The aim of this study was to investigate disease-related differences in COVID-19 prognosis of patients affected by rheumatic diseases before vaccination; we tested the hypothesis that patients with SLE may have a different outcome compared with those with rheumatoid arthritis (RA) or spondyloarthritis (SPA). METHODS: We analysed data from the national CONTROL-19 Database with a retrospective, observational design, including rheumatic patients affected by COVID-19. The principal outcome measure was hospitalisation with death or mechanical ventilation. Differences between SLE, RA and SPA were analysed by univariable and multivariable logistic regression models. RESULTS: We included 103 patients with SLE (88.2% female, mean age 48.9 years, 50.4% active disease), 524 patients with RA (74.4% female, mean age 60.6 years, 59.7% active disease) and 486 patients with SPA (58.1% female, mean age 53.2 years, 58% active disease).Outcome prevalence was not different between patients with SLE and those with RA (SLE 24.5%, RA 25.6%), while patients with SPA showed a more favourable outcome compared with those with SLE (SPA 15.9%); data from the multivariable analysis confirmed this result.In SLE, age >65 years (OR 17.3, CI 5.51 to 63.16, p<0.001), hypertension (OR 6.2, CI 2.37 to 17.04, p<0.001) and prednisone (PDN) use (OR 3.8, CI 1.43 to 11.39, p=0.01) were associated with severe outcomes, whereas hydroxychloroquine use was found to be protective (OR 0.3, CI 0.14 to 0.91, p=0.03). CONCLUSION: Our data suggest that patients with SLE and RA do not show a different COVID-19 outcome, while patients with SPA have a more favourable disease course compared with those with SLE. Risk of hospitalisation with ventilation or death was associated with age >65 years, hypertension and PDN use in patients with SLE.

pGOODs: new plasmids for the co-expression of proteins in Escherichia coli.

Two systems for the co-expression of proteins in Escherichia coli were designed and constructed. The first system relies on the new vector, pGOOD, which is compatible with ColE1-type plasmids and sustains efficient co-expression of soluble protein complexes. The second system is based on the pGOOD1 vector (a derivative of pGOOD), useful for the production of toxic proteins, whose synthesis can be regulated by the co-expressed LacI repressor.

Intestinal microbiota changes induced by TNF-inhibitors in IBD-related spondyloarthritis.

BACKGROUND: The close relationship between joints and gut inflammation has long been known and several data suggest that dysbiosis could link spondyloarthritis (SpA) to inflammatory bowel diseases (IBD). The introduction of biological drugs, in particular tumour necrosis factor inhibitors (TNFi), revolutionised the management of both these diseases. While the impact of conventional drugs on gut microbiota is well known, poor data are available about TNFi. AIM: To investigate the impact of TNFi on gut microbiota. METHODS: We evaluated 20 patients affected by enteropathic arthritis, naïve for biological drugs, treated with TNFi at baseline and after 6 months of therapy. All patients followed a Mediterranean diet. Patients performed self-sampling of a faecal sample at baseline and after 6 months of therapy. NGS-based ITS and 16S rRNA gene sequencing was performed, followed by the taxonomic bioinformatics analysis. RESULTS: After 6 months of therapy, we detected a remarkable increase in Lachnospiraceae family (Δ +10.3, p=0.04) and Coprococcus genus (Δ +2.8, p=0.003). We also noted a decreasing trend in Proteobacteria (Δ -8.0, p=0.095) and Gammaproteobacteria (Δ -9, p=0.093) and an increasing trend in Clostridia (Δ +8.2, p=0.083). We did not find differences between TNFi responders (SpA improvement or IBD remission achieved) and non-responders in terms of alpha and beta diversity. CONCLUSIONS: Our findings are consistent with the hypothesis that TNFi therapy tends to restore the intestinal eubiosis.

Bacterial cytosolic proteins with a high capacity for Cu(I) that protect against copper toxicity.

Bacteria are thought to avoid using the essential metal ion copper in their cytosol due to its toxicity. Herein we characterize Csp3, the cytosolic member of a new family of bacterial copper storage proteins from Methylosinus trichosporium OB3b and Bacillus subtilis. These tetrameric proteins possess a large number of Cys residues that point into the cores of their four-helix bundle monomers. The Csp3 tetramers can bind a maximum of approximately 80 Cu(I) ions, mainly via thiolate groups, with average affinities in the (1-2) × 1017 M-1 range. Cu(I) removal from these Csp3s by higher affinity potential physiological partners and small-molecule ligands is very slow, which is unexpected for a metal-storage protein. In vivo data demonstrate that Csp3s prevent toxicity caused by the presence of excess copper. Furthermore, bacteria expressing Csp3 accumulate copper and are able to safely maintain large quantities of this metal ion in their cytosol. This suggests a requirement for storing copper in this compartment of Csp3-producing bacteria.

Overexpression of epidermal growth factor type-1 receptor (EGF-R1) in cervical cancer: implications for Cetuximab-mediated therapy in recurrent/metastatic disease.

OBJECTIVES: To evaluate and compare epidermal growth factor type-1 receptor (EGF-R1) expression in short term and established cervical cancer cell lines generated from primary and metastatic/recurrent sites of disease. To evaluate the sensitivity of cervical cancer cell lines to treatment with a chimeric MAb against EGFR-1 (Cetuximab). METHODS: EGFR-1 expression was evaluated by flow cytometry on 22 cervical cancer cell lines including 14 primary cervical cancer cell lines obtained from cervical biopsies (11 patients) and recurrent sites of disease (three patients) as well as eight established cell lines. Tumor cell lines were tested for sensitivity to Cetuximab-mediated complement-dependent cytotoxicity (CDC) and antibody-dependent cellular cytotoxicity (ADCC) in 51Cr release assays. Finally, Cetuximab-mediated inhibition of cell proliferation was also tested. RESULTS: Fourteen out of fourteen (100%) primary tumors and seven out of eight (87.5%) established cervical cancer cell lines expressed EGFR-1 by flow cytometry. Cell lines from recurrent/metastatic sites of disease expressed higher levels of EGFR-1 when compared to those obtained from primary sites (p>0.05). Minimal CDC was detected in the majority of cervical cancer cell lines exposed to complement+/-Cetuximab in the absence of peripheral blood lymphocytes (PBL). In contrast, cervical tumor cell lines were found highly sensitive to Cetuximab-mediated ADCC when challenged with PBL from either healthy donors or cervical cancer patients. Importantly, ADCC was further increased in the presence of complement. Finally, tumor proliferation was significantly inhibited by Cetuximab in all cervical tumors tested. CONCLUSIONS: EGFR-1 is highly expressed in primary and recurrent cervical tumors. Cetuximab might be a novel and attractive therapeutic strategy in patients harboring chemotherapy-resistant, recurrent, or metastatic cervical cancer.