The immune system plays a crucial role in the response against severe acute respiratory syndrome coronavirus 2 with significant differences among patients. The study investigated the relationships between lymphocyte subsets, cytokines, and disease outcomes in patients with coronavirus disease 2019 (COVID‐19). The measurements of peripheral blood lymphocytes subsets and cytokine levels were performed by flow cytometry for 57 COVID‐19 patients. Patients were categorized into two groups according to the severity of the disease (nonsevere vs. severe). Total lymphocytes, T cells, CD4+ T cells, CD8+ T cells, B cells, and natural killer cells were decreased in COVID‐19 patients and statistical differences were found among different severity of illness and survival states (
P
˂ 0.01). The levels of IL‐6 and IL‐10 were significantly higher in severe and death groups and negatively correlated with lymphocyte subsets counts. The percentages of Th17 in the peripheral blood of patients were higher than those of healthy controls whereas the percentages of Th2 were lower. For the severe cases, the area under receiver operating characteristic (ROC) curve of IL‐6 was the largest among all the immune parameters (0.964; 95% confidence interval: 0.927–1.000,
P
< 0.0001). In addition, the preoperative IL‐6 concentration of 77.38 pg/ml was the optimal cutoff value (sensitivity: 84.6%, specificity: 100%). Using multivariate logistic regression analysis and ROC curves, IL‐6 > 106.44 pg/ml and CD8+ T cell counts <150 cells/μl were found to be associated with mortality. Measuring the immune parameters and defining a risk threshold can segregate patients who develop a severe disease from those with a mild pathology. The identification of these parameters may help clinicians to predict the outcome of the patients with high risk of unfavorable progress of the disease.
HLA-DRB1*04 was associated with increased risk for RA and ACPA positivity, while HLA-DRB1*07 was associated with reduced risk for RA and RF synthesis in Algerian patients.
Aim: To describe the autoantibody profile in a cohort of Algerian patients with systemic sclerosis (SSc) and to determine clinical associations between SSc-related autoantibodies, disease subtypes and specific clinical features. Methods: Consecutive Algerian patients with SSc were included in the present study. In addition to clinical characterization, all subjects underwent autoantibody testing using indirect immunofluorescence, immunoenzymatic, and line immunoblot assays. Results: A total of 150 patients were included in this study, 103 (68.7%) had limited cutaneous SSc (lcSSc), 42 (28%) had diffuse cutaneous SSc (dcSSc) and 5 (3.3%) had sine cutaneous scleroderma. One hundred thirty-five (90.0%) patients were positive for SSc-related autoantibodies, including 63 (42%) with more than one autoantibody. The two most frequent autoantibodies were anti-topoisomerase I (ATA) (76; 50.7%) and anti-SSA/Ro (49; 32.7%). Only 23 (15.3%) patients were positive for anticentromere; 9 (6%) were positive for anti RNA polymerase III; 5 (3.3%) for anti-U3 RNP; 3 (2%) for anti Th/To; 25 (16.7%) for anti-U1 RNP; 11 (7.3%) for anti-PM/Scl and 4 (2.7%) for anti-Ku. Anti-topoisomerase I was associated with dcSSc (p <0.0001), interstitial lung disease (ILD) (p <0.0001) and digital ulcers (p <0.0001). Anti-U3 RNP was associated with pulmonary arterial hypertension (PAH) (p=0.031). Conclusion: Notable similarities and differences in the prevalence of SSc-related autoantibodies were found in our population when compared to other ethnic groups. ATA and anti-U3 RNP may be a reliable biomarker for ILD and PAH. Further studies should be conducted to better understand the ethnic influence on disease expression and autoantibody production.
Methotrexate (MTX) is the most used drug in rheumatoid arthritis (RA) treatment. However, it shows variability in clinical response, which is explained by an association with genetic polymorphisms. This study aimed to elucidate the role of the two gene polymorphism C677T and A1298C of the methylenetetrahydrofolate reductase (MTHFR) in response to MTX in Algerian RA patients. Study included 54 early RA patient treated with MTX for one year. MTX efficiency and toxicity were evaluated at 6 and 12 months respectively and the two gene polymorphisms were genotyped. No association was found between A1298C polymorphism and MTX toxicity. However, T allele of the C677T polymorphism was associated with the occurrence of MTX adverse effects (p = 0,019, OR: 3,63, 95% CI [1,12 - 12,80]). No association was found between C677T polymorphism and MTX efficiency, while A allele of the A1298C polymorphism was associated with good and moderate response (p = 0,02, OR = 3,28, 95% CI: [1,11– 9,42]). The study of RA biological markers kinetics showed that MTX did not affect antibodies rate unlike inflammatory markers. Our study suggests that MTHFR C677T and A1298C genotyping are associated to MTX toxicity and efficiency, respectively, in RA patients. This offers new perspectives in the personalization of RA treatment in Algeria.
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