scholarly journals The complex nature of the interaction between disease activity and therapy on the lipid profile in patients with pediatric systemic lupus erythematosus

2006 ◽  
Vol 54 (4) ◽  
pp. 1283-1290 ◽  
Author(s):  
Talin Sarkissian ◽  
Joseph Beyenne ◽  
Brian Feldman ◽  
Khosrow Adeli ◽  
Earl Silverman
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Disease Activity ◽  
Lipid Profile ◽  
Lupus Erythematosus ◽  
Complex Nature ◽  
Systemic Lupus ◽  
Pediatric Systemic Lupus Erythematosus

scholarly journals AB0983 LIPID METABOLISM AND DISEASE ACTIVITY IN JSLE PATIENTS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1785.1-1785
Author(s):  
S. Ganhão ◽  
A. Mendes ◽  
F. Aguiar ◽  
M. Rodrigues ◽  
I. Brito
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Lipid Metabolism ◽  
Disease Activity ◽  
Lipid Profile ◽  
Lupus Erythematosus ◽  
Systemic Disease ◽  
Density Lipoprotein ◽  
Systemic Lupus ◽  
Parametric Test ◽  
Bivariate Correlation

Background:Systemic lupus erythematosus (SLE) is an autoimmune systemic disease associated with premature atherosclerosis. Risk factors include dyslipoproteinemia, inflammation, oxidized low-density lipoprotein (LDL), hyperhomocysteinemia and antiphospholipid antibodies. Hyperlipidemic condition is being reported to promote the production of proinflammatory cytokines such as IL-1β, IL-6, and IL-27 and lowering blood lipid levels improves the disease. Oxidative stress is elevated, mainly due to mitochondrial dysfunction, further disrupting lipid metabolism. Some drugs also have an impact on lipid profile, such as chronic steroid use, which worsens LDL, HDL, and TG levels.Objectives:To assess the relationship between lipid profile and disease activity in juvenile SLE (jSLE) patients.Methods:Retrospective study of jSLE patients, fulfilling both 2012 and 2019 EULAR/ACR classification criteria for SLE. Juvenile-onset was defined as age at diagnosis <18 years. Demographics and clinical characteristics were collected. To evaluate the activity of jSLE, the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) was used. Statistical analysis was performed with SPSS®. Spearman’s rank non-parametric test or Pearson’s parametric test were used to assess the bivariate correlation for inflammatory and metabolic variables. P value <0.05 was considered significant for all the statistical tests.Results:35 patients were included, with current median (min-max) age of 22 (16-35) years, mean (SD) age of diagnosis of 15.8 (2.4) years; 91.4%female. Median ESR was 19 (2-75) mm/h, CRP 1.65 (0.1-9.6) mg/L, albumin 41.6 (16.7-46.3) g/L, proteinuria 0.2 (0-3) g/dL, leukocyturia 0 (0-1362.7)/uL, erythrocyturia 0 (0-501.9)/uL and anti-double stranded DNA 89.3 (10-800) U/mL. Mean C3 was 102.1 (21.6), C4 17.1 (7.4) mg/dL and creatinine 0.63 (0.1) mg/dL. Median SLEDAI was 2 (0-12). All were ANA positive, 40 % positive for antinucleossome antibodies, 25.7% anti-ribossomal P protein antibody, 11.4% anti-Sm, 8.6% autoantibodies againstβ2-glycoproteinI, 8.6% anti-cardiolipin, 14.3% lupus anticoagulant, 37.1% anti-SSA and 8.6% anti-SSB. Articular manifestations were present in 48.6%, mucocutaneous in 77.1%, haematological in 45.7%, lupus nephritis in 42.9%, serositis in 8.6% and pulmonary interstitial disease in 2.9%. Mean (SD) total cholesterol values (TC) was 165.5 (44.7) mg/dL and LDL 94.5 (29.9) mg/dL. Median high-density lipoprotein was 52 (28-92) and triglycerides (TG) 81.5 (41-253) mg/dL. Median daily prednisolone dose was 5 (0-40) mg. 88.6% were treated with hydroxychloroquine, 31.4% with mychophenolate mophetil and 14.3% with azathioprine. TC was negatively correlated with serum albumin (p=0.043, rho=-378) and positively with SLEDAI (p=0.032; rho= 0.392), proteinuria (p=0.009; rho= 0.469) and leukocyturia (p=0.031; rho= 0.394). A positive correlation was found between LDL and proteinuria (p=0.043; rho= 0.385) and between TG and CRP (p=0.001; rho= 0.575). TG were also positively correlated with prednisolone daily dose (p=0.035; rho= 0.394). Mean LDL was higher in anti-Sm positive patients (p=0.022). No differences were found regarding anti-phospholipids antibodies. Nephritic lupus patients had worse lipid metabolism, but this did not reach statistical significance.Conclusion:In out cohort, increased expression of TC, LDL and TGs is associated with disease activity in SLE. As expected, higher doses of prednisolone also correlated with lipid metabolism.References:[1]Machado D et al. Lipid profile among girls with systemic lupus erythematosus. Rheumatol Int. 2017 Jan;37(1):43-48Disclosure of Interests:None declared

scholarly journals MAGE-B2 Autoantibody: A New Biomarker for Pediatric Systemic Lupus Erythematosus

2008 ◽  
Vol 35 (12) ◽  
pp. 2430-2438 ◽  
Author(s):  
ALICE D.C. HOFTMAN ◽  
LEI-QIAN TAI ◽  
SHEILA TZE ◽  
DAVID SELIGSON ◽  
RICHARD A. GATTI ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Disease Activity ◽  
Lupus Erythematosus ◽  
Activity Index ◽  
Disease Activity Index ◽  
Systemic Lupus ◽  
Western Blots ◽  
Pediatric Systemic Lupus Erythematosus ◽  
Embryonic Antigen ◽  
Pediatric Sle

ObjectiveMelanoma-associated antigen gene B2 (MAGE-B2) encodes an embryonic antigen normally silenced after birth except in testis and placenta. We identified the MAGE-B2 gene and autoantibodies in pediatric patients with systemic lupus erythematosus (SLE) glomerulonephritis. We investigated the prevalence of MAGE-B2 autoantibodies in association with active SLE, to determine a pathogenetic role of MAGE-B2 protein through its distribution in cells and tissues.MethodsAcross-sectional study analyzed the frequency of MAGE-B2 autoantibodies in 40 patients with pediatric SLE, 23 adult controls, and 16 patients with pediatric juvenile rheumatoid arthritis (JRA) using Western blots containing recombinant MAGE-B2. SLE Disease Activity Index 2000 (SLEDAI-2K) and British Isles Lupus Assessment Group (BILAG) index measured SLE disease activity. Tissue distribution of MAGE-B2 protein was assessed by immunohistochemistry, immunofluorescence, and Western blots.ResultsSeventeen (43%) of 40 pediatric SLE patients had MAGE-B2 autoantibodies as compared to 0 of 16 JRA patients and 2 of 23 adult controls. SLE disease activity was significantly higher in MAGE-B2 autoantibody-positive versus autoantibody-negative patients (SLEDAI-2K, mean 10.9 vs 5.2, p = 0.013; BILAG, mean 15.3 vs 6.3, p = 0.023). Active nephritis was more prevalent (60% vs 24%) inMAGE-B2 autoantibody-positive than autoantibody-negative SLE patients. MAGE-B2 protein was visualized in SLE kidney proximal convoluted tubules and in tumor epithelial cells, but not in lymphoblastoid cells.ConclusionMAGE-B2 autoantibody appears to be a clinically relevant biomarker for pediatric SLE disease activity and nephritis.

scholarly journals SYMPTOMATIC COVID INFCETIONS IN ADULT AND PEDIATRIC SYSTEMIC LUPUS ERYTHEMATOSUS AND RELATION TO DISEASE ACTIVITY

2021 ◽  
Author(s):  
Simone Appenzeller ◽  
Kaik da Silva Gomes ◽  
Mariana Moraes da Silva Lucino ◽  
Ana Carolina Londe ◽  
Diego de Paula Ferreira Nunes ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Disease Activity ◽  
Lupus Erythematosus ◽  
Systemic Lupus ◽  
Pediatric Systemic Lupus Erythematosus

scholarly journals SIGLEC1 (CD169) is a sensitive biomarker for the deterioration of the clinical course in childhood systemic lupus erythematosus

Lupus ◽  
2020 ◽  
Vol 29 (14) ◽  
pp. 1914-1925
Author(s):  
Sae Lim von Stuckrad ◽  
Jens Klotsche ◽  
Robert Biesen ◽  
Mareike Lieber ◽  
Julia Thumfart ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Disease Activity ◽  
Lupus Erythematosus ◽  
Clinical Course ◽  
Youden Index ◽  
Systemic Lupus ◽  
Pediatric Systemic Lupus Erythematosus ◽  
Elevated Expression ◽  
Membrane Bound

Background To analyse the validity of membrane-bound SIGLEC1 (CD169) as a sensitive biomarker for monitoring disease activity in pediatric systemic lupus erythematosus (SLE). Methods 27 children and adolescents with SLE were followed for a mean of 13.5 months. During consecutive routine visits SLEDAI-2k, C3, C4 and ds-DNA values were determined. Additionally, expression of SIGLEC1 on monocytes was determined by flow cytometry. The amount of PE-labelled CD169 mAb bound per monocyte was analyzed using QuantiBRITE™ PE tubes. Associations between biomarkers and the clinical course were investigated by regression analysis. Results In general, SIGLEC1 expression is high on SLE-derived monocytes (mean 6 359 (SD 6 056) molecules/monocyte, cut-off 2 500 molecules/monocyte), all patients with newly diagnosed SLE exhibit elevated expression (mean 13366 (SD 7 750) molecules/monocyte). Changes (Δ) in SIGLEC1 levels during the clinical course is the only biomarker that significantly correlates with the change in SLEDAI-2k (betaST = 0.28, p = 0.001). At follow-up visit, a clinically important worsening was experienced by 47.6% of patients with a Δ SIGLEC1 > 2 151 molecules/cell (OR 5.31) and 72.4% with a Δ SIGLEC1 > 756 molecules/cell (OR 8.90). Conversely, 36.4% of patients with a Δ SIGLEC1 < -2 818 molecules/cell (OR 4.16, percentiles as cut-off criteria) and 50.0% of patients with a Δ SIGLEC1 < -1 370 molecules/cell (OR 3.55, application of Youden index) showed clinical improvement. SIGLEC1 expression correlates inversely with the amount of therapeutically applied hydroxychloroquine (p < 0.001). Conclusions SIGLEC1 expression on monocytes is a sensitive biomarker for adjusting disease activity in childhood SLE and represents a promising and easily applicable tool for disease monitoring.

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