Peripheral CD4+CD28null T-cells as predictors of damage in systemic lupus erythematosus patients.

OBJECTIVES: To determine whether the CD4+CD28null T-cells subpopulation predicts the occurrence of damage in SLE. METHODS: This longitudinal study was conducted in consecutive SLE patients seen every six months in our Rheumatology Department since 2012. Patients in whom CD4+CD28null T-cells had been measured and who had at least one subsequent visit were included in the study. Survival analyses (univariable and multivariable Cox-regression models) were performed to determine the risk of overall and domain damage (as per the SLICC Damage Index - SDI) as a function of the frequency of this T-cell subpopulation. The multivariable model was adjusted for pertinent confounders. All analyses were performed using SPSS 21.0. RESULTS: One hundred and nineteen patients were evaluated; their mean (SD) age was 43.5 (11.9) years, 113 (95.0%) were female. Disease duration was 7.8 (7.0) years, the SLEDAI 5.3 (4.1) and the SDI 1.0 (1.4). The percentage of CD4+CD28null T-cells was 17.4 (14.0). The mean follow-up was 2.1 (0.8) years, and the mean number of visits per patient 3.5 (1.1). Forty-six (38.7%) patients increase at least one SDI point. In the univariable and multivariable analyses, the percentage of CD4+CD28null predicted the occurrence of lung damage [HR: 1.042 (CI95%: 1.001-1.085); p=0.047 and HR: 1.099 (CI95%1.020-1.184); p=0.013, respectively] but neither the total SDI score nor all other SDI domain scores were predicted by the percentage of CD4+CD28null cells. CONCLUSIONS: In SLE patients, CD4+CD28null T-cells predict the occurrence of new lung damage, independently of other risk factors but not of overall damage or damage on other domains.

Circulating naive and memory CD4+ T cells and metabolic syndrome in patients with systemic lupus erythematosus: data from a primarily Mestizo population.

OBJECTIVE: The aim of this study was to determine whether the proportions of naive and memory CD4(+) T cell are independently associated with the metabolic syndrome (MetS) in patients with SLE. METHODS: This cross-sectional study was conducted in SLE patients seen at our rheumatology department between September 2013 and April 2014. CD4(+) T cell subpopulations were examined by flow cytometry. The association of MetS and CD4(+) T cell subpopulations was examined by Mann-Whitney U-test and by multivariable analysis, adjusting for all possible confounding variables. RESULTS: One hundred and seventeen patients were evaluated. Their mean age was 44.6 years (S.D. 12.6), 109 (93.2%) were female and all patients were Mestizo (mixed Caucasian and Amerindian ancestry). Fifty-two patients (44.4%) presented with MetS. Disease duration was 7.6 years (S.D. 6.8). The percentage of naive CD4(+) T cells was 25.0 (S.D. 12.7) and memory CD4(+) T cells was 66.7 (S.D. 13.2) and the memory:naive CD4(+) T cell ratio was 4.3 (S.D. 5.6). In multivariable analysis, the percentage of naive CD4(+) T cells was negatively associated with the presence of MetS [odds ratio (OR) 0.959 (95% CI 0.923, 0.997), P = 0.033], whereas the percentage of memory CD4(+)T cells and the memory:naive CD4(+) T cell ratio were positively associated with its presence [OR 1.040 (95% CI 1.003, 1.078), P = 0.031 and OR 1.238 (95% CI 1.041, 1.472), P = 0.016, respectively]. CONCLUSION: In the SLE patients studied, a lower percentage of naive CD4(+) T cells, a higher percentage of memory CD4(+) T cells and the memory:naive CD4(+) T cell ratio were independently associated with the presence of MetS. This association could reflect the impact of immunosenescence among SLE patients with cardiovascular morbidity.