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Updated: Jan 21, 2026
09:15
Electrochemiluminescence Assays for Human Islet Autoantibodies
Published on: March 23, 2018
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Autoantibodies in SLE: prediction and the p value matrix.
1Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
Lupus
|August 11, 2019
Summary
Autoantibodies and antinuclear antibodies are crucial for diagnosing systemic lupus erythematosus (SLE). Combining these with other biomarkers like interferon signature significantly enhances early SLE prediction.
Area of Science:
- Rheumatology
- Immunology
- Biomarker Discovery
Background:
- Autoantibodies (AA) and antinuclear antibodies (ANA) are vital for diagnosing and classifying systemic lupus erythematosus (SLE).
- Over 200 AA exist, but fewer than 20 are routinely used clinically, with many considered 'orphan' AA.
- Some AA appear in preclinical SLE, acting as early predictors and prognostic biomarkers.
Purpose of the Study:
- To explore the role of various autoantibodies (AA) and antinuclear antibodies (ANA) in systemic lupus erythematosus (SLE).
- To highlight the potential of specific AA combinations and other biomarkers for early SLE prediction and prognosis.
Main Methods:
- Review of existing literature on autoantibodies (AA) and antinuclear antibodies (ANA) in SLE.
- Analysis of emerging evidence on multianalyte arrays and predictive algorithms.
Main Results:
- While mainstream AA/ANA are diagnostic, 'orphan' AA can predict early or subclinical SLE.
- Specific AA combinations, alongside biomarkers like interferon signature and stem cell factor, markedly increase SLE predictive power.
Conclusions:
- Autoantibodies and antinuclear antibodies are key to SLE diagnosis and prognosis.
- Emerging technologies enhance the predictive capability of AA/ANA for early SLE detection when combined with other biomarkers.
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