AI Article Synopsis
- The study investigates the link between autoantibodies and disease activity in systemic lupus erythematosus (SLE) patients, focusing on how these markers might reflect changes in global and renal disease activity.
- Autoantibodies were measured from blood samples taken during several clinic visits of 49 SLE patients, with attention to varying proteinuria levels, using several assessment tools to evaluate disease activity.
- Among the autoantibodies tested, anti-C1q showed the strongest association with both global disease activity and renal activity scores, suggesting it may be a more reliable biomarker than others, such as anti-dsDNA, for monitoring SLE.
Article Abstract
Objective: Autoantibodies are important in the diagnosis and classification of systemic lupus erythematosus (SLE), but whether they correlate with changes in disease activity within individual patients is controversial. We assessed the association between changes in SLE global and renal activity and changes in several autoantibodies and cell adhesion molecules in patients with SLE.
Methods: Stored sera collected at two or three clinic visits from each of 49 SLE patients (91% female, 59% African-American, 31% Caucasian, 10% other ethnicity, 38% under 30 years, 41% between 30-44 years, and 21% 45-63 years) were analyzed. The visits were chosen to include one visit with proteinuria, and one or two without, for each patient. Global disease activity was measured by the Physician's Global Assessment (PGA), SELENA-SLEDAI (SLE Disease Activity Index modified to exclude anti-dsDNA and complement) and renal activity assessed by urine protein (by urine dipstick) and Renal Activity Score. Sera were assayed for anti-C1q, anti-chromatin, anti-dsDNA, anti-ribosomal P, monocyte chemotactic protein-1 (MCP-1), vascular cell adhesion molecule (VCAM) intercellular adhesion molecule (ICAM) and complement. The associations between changes in disease activity and changes in biomarker levels were assessed.
Results: In terms of global disease activity, anti-C1q had the highest association with the PGA (p = 0.09) and was strongly associated with modified SELENA-SLEDAI (p = 0.009). In terms of renal activity, anti-C1q had the highest association with proteinuria (p = 0.079), and was strongly associated with Renal Activity Score (p = 0.006).
Conclusion: Anti-C1q performed the best of the potential biomarkers, being significantly associated with the modified SELENA-SLEDAI and with the Renal Activity Score. This study indicates the potential superior utility of anti-C1q over anti-dsDNA and other measures to track renal activity.
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| http://dx.doi.org/10.1177/0961203311411597 | DOI Listing |
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