Search

Interstitial lung disease (ILD) constitutes the most critical comorbidity in autoimmune diseases (ADs) and its early diagnosis remains a challenge for clinicians. Accordingly, we evaluated whether E-selectin, ICAM-1, and ET-1, key molecules in endothelial damage, could be useful biomarkers for the detection of AD-ILD + . We recruited patients with rheumatoid arthritis (RA)-ILD + ( n = 21) and systemic sclerosis (SSc)-ILD + ( n = 21). We included comparison groups of patients: RA-ILD - ( n = 25), SSc-ILD - ( n = 20), and idiopathic pulmonary fibrosis (IPF) ( n = 21). Serum levels of these proteins were determined by ELISA. E-selectin, ICAM-1, and ET-1 serum levels were increased in RA-ILD + and IPF patients in comparison to RA-ILD - patients. Additionally, SSc-ILD + and IPF patients exhibited higher ICAM-1 levels than those with SSc-ILD - . The ability of E-selectin, ICAM-1, and ET-1 to discriminate RA-ILD + from RA-ILD - patients, and ICAM-1 to distinguish SSc-ILD + from SSc-ILD - patients was confirmed using ROC curve analysis. Furthermore, elevated levels of ET-1 and E-selectin correlated with lung function decline in RA-ILD + and SSc-ILD + patients, respectively. In conclusion, our findings support the relevant role of E-selectin, ICAM-1, and ET-1 in RA-ILD + patients as well as of ICAM-1 in SSc-ILD + patients, constituting potential screening blood biomarkers of ILD in AD. Moreover, this study suggests ET-1 and E-selectin as possible indicators of worsening lung function in RA-ILD + and SSc-ILD + patients, respectively.

The aim of this study was to determine the role of endothelin-1 (ET-1), a molecule involved in multiple vascular and fibrosing abnormalities, as a biomarker of interstitial lung disease (ILD), as well as its use for the differential diagnosis between idiopathic pulmonary fibrosis (IPF) and ILD associated with autoimmune diseases (AD-ILD), using a large and well-defined cohort of patients with ILD. A total of 112 patients with IPF, 91 patients with AD-ILD (28 rheumatoid arthritis (RA), 26 systemic sclerosis, 20 idiopathic inflammatory myositis and 17 interstitial pneumonia with autoimmune features) and 44 healthy controls were included. ET-1 serum levels were determined by enzyme-linked immunosorbent assay. A significant increase in ET-1 levels was found in patients with IPF compared to controls. Likewise, AD-ILD patients also showed higher ET-1 levels than controls when the whole cohort was stratified by the type of AD. Similar ET-1 levels were found in IPF and AD-ILD patients, regardless of the underlying AD. Interestingly, increased ET-1 levels were correlated with worse lung function in IPF and RA-ILD patients. Our study supports that serum ET-1 may be useful as a biomarker of ILD, although it could not help in the differential diagnosis between IPF and AD-ILD. Moreover, ET-1 levels may be associated with ILD severity.

Objective: Because carotid plaques predict the development of cardiovascular events in RA, we aimed to assess if the combined use of the systematic coronary risk evaluation (SCORE) and the QRISK3 algorithms allows for the identification of RA patients with carotid plaques in a defined population-based RA inception cohort., Methods: A set of consecutive RA patients without a history of diabetes, chronic kidney disease or cardiovascular events were studied by carotid US between 2012 and 2019. Modified SCORE (mSCORE) for RA based on the 2015/2016 updated EULAR recommendations and QRISK3 algorithms were retrospectively tested using baseline data obtained at the time of the carotid US assessment., Results: A total of 466 (54%) of 865 patients had carotid plaques. Using dichotomized QRISK3 and EULAR mSCORE, 73.2% (95% CI: 68.4.8, 77.6) of patients with QRISK ≥ 10% and EULAR mSCORE < 5% had plaque. In this group, the diagnostic odds ratio was 5.79 (95% CI: 4.14, 8.10). However, if both algorithms were above their thresholds of high cardiovascular risk (QRISK ≥ 10% and EULAR mSCORE ≥ 5%), the sensitivity increased up to 83.3% (95% CI: 72.1, 91.4) and the diagnostic odds ratio up to 10.6 (95% CI: 5.13, 22.0). When the risk charts scales were used as continuous variables, both QRISK3 and EULAR mSCORE were found positively associated with plaque. For each 1% QRISK3 or EULAR mSCORE increase, the probability of having plaques multiplied by 1.14 and 1.22, respectively. However, the effects of both algorithms did not multiply by each other., Conclusions: . The combined use of QRISK3 and EULAR mSCORE allows for the identification of most RA patients at high risk of carotid plaques., (© The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Previous studies have shown that risk chart algorithms, such as the Systematic Coronary Risk Assessment (SCORE), often underestimate the actual cardiovascular (CV) risk of patients with rheumatoid arthritis (RA). In contrast, carotid ultrasound was found to be useful to identify RA patients at high CV. In the present study, we aimed to determine if specific disease features influence the CV risk reclassification of RA patients assessed by SCORE risk charts and carotid ultrasound., Methods: 1279 RA patients without previous CV events, diabetes, or chronic kidney disease were studied. Disease characteristics including disease activity scores, CV comorbidity, SCORE calculation, and the presence of carotid plaque by carotid ultrasound were assessed. A multivariable regression analysis was performed to evaluate if the reclassification into very high CV risk category was independently associated with specific features of the disease including disease activity. Additionally, a prediction model for reclassification was constructed in RA patients., Results: After carotid ultrasound assessments, 54% of the patients had carotid plaque and consequently fulfilled definition for very high CV risk. Disease activity was statistically significantly associated with reclassification after fully multivariable analysis. A predictive model containing the presence of dyslipidemia and hypertension, an age exceeding 54 years, and a DAS28-ESR score equal or higher than 2.6 yielded the highest discrimination for reclassification., Conclusion: Reclassification into very high CV risk after carotid ultrasound assessment occurs in more than the half of patients with RA. This reclassification can be independently explained by the activity of the disease.

Objective: To investigate if the Systematic Coronary Risk Evaluation (SCORE) and the QRISK3 algorithms as well as the carotid ultrasound are useful predictors of cardiovascular (CV) events and death in a prospectively defined population-based rheumatoid arthritis (RA) inception cohort., Methods: A set of 327 consecutive RA patients without history of diabetes, chronic kidney disease or CV events were studied by carotid ultrasound between 2012 and 2013. At that time, CV risk was calculated according to the modified EULAR systematic coronary risk evaluation (mSCORE) for RA. A five-year prospective follow-up study was conducted by survival analysis models. The EULAR mSCORE based on the 2015/2016 updated EULAR recommendations and the QRISK3 algorithms were retrospectively tested using baseline data., Results: After 1,984.25 patient-years of follow-up, 23 had died and 27 had experienced CV events. Linearized mortality rate was 1.16/100 patient-years (95% confidence interval [CI]: 0.74--1.73). Adjusting for age, gender and disease duration, a model with carotid plaques (Hazard ratio [HR]: 6.10 [95% CI:0.74--50.0]; p = 0.09) and another model with carotid plaques and QRISK3 (HR for carotid plaques: 6.12 [95% CI: 0.74--50.5]; p = 0.09 and HR for each 1% in QRISK3: 1.03 [95% CI: 0.99--1.07], p = 0.11, respectively were the best predictors of death whereas a model with carotid plaques (HR: 5.25 [95% CI:1.41--19.50]; p = 0.01) and another model with carotid plaques and QRISK3 (HR for carotid plaques: 5.13 [95% CI: 1.36--19.3]; p = 0.02 and HR for each 1% in QRISK3: 1.03 [95% CI: 0.99--1.07], p = 0.12, respectively, were the best predictors of CV events. In contrast, the mSCORE was a weaker predictor of the risk of death or CV events., Conclusions: The presence of carotid plaques predicts the development of CV events and death in patients with RA. The predictable capacity of carotid plaques and QRISK3 is higher than that of mSCORE in RA patients., Competing Interests: Declaration of Competing Interest Disclosures that might be interpreted as constituting of possible conflict(s) of interest for the study: Dr. Corrales had consultation fees/participation in company sponsored speaker´s from AbbVie and Sanofi. Dr. Castañeda had consultation fees/participation in company sponsored speaker´s bureau from Lily and Sanofi Dr. Ricardo Blanco received grants/research supports from AbbVie, MSD and Roche, and had consultation fees/participation in company sponsored speaker´s bureau from AbbVie, Pfizer, Roche, Bristol-Myers, Janssen and MSD. Dr. Miguel A. González-Gay received grants/research supports from AbbVie, MSD and Roche, and had consultation fees/participation in company sponsored speaker´s bureau from AbbVie, Pfizer, Roche, Celgene, MSD, Novartis and Sanofi. No financial disclosure declared: Dr. Vegas-Revenga, Dr. Rueda-Gotor, Ms.Virginia Portilla, Dr. Atienza-Mateo, Dr. Ferraz-Amaro and Dr. Llorca., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Several protein tyrosine phosphatase non-receptor 22 (PTPN22) single-nucleotide polymorphisms (SNPs) have been significantly related with rheumatoid arthritis (RA) susceptibility. Nevertheless, its potential influence on PTPN22 expression in RA has not been completely elucidated. Furthermore, PTPN22 binds to C-Src tyrosine kinase (CSK) forming a key complex in autoimmunity. However, the information of CSK gene in RA is scarce. In this study, we analyzed the relative PTPN22 and CSK expression in peripheral blood from 89 RA patients and 43 controls to determine if the most relevant PTPN22 (rs2488457, rs2476601 and rs33996649) and CSK (rs34933034 and rs1378942) polymorphisms may influence on PTPN22 and CSK expression in RA. The association between PTPN22 and CSK expression in RA patients and their clinical characteristics was also evaluated. Our study shows for the first time a marked down-regulation of PTPN22 expression in RA patients carrying the risk alleles of PTPN22 rs2488457 and rs2476601 compared to controls (p = 0.004 and p = 0.007, respectively). Furthermore, CSK expression was significantly lower in RA patients than in controls (p < 0.0001). Interestingly, a reduced PTPN22 expression was disclosed in RA patients with ischemic heart disease (p = 0.009). The transcriptional suppression of this PTPN22/CSK complex may have a noteworthy clinical relevance in RA patients.