A novel automated indirect immunofluorescence autoantibody evaluation

Area of Science:

• * Immunology and Diagnostics
• * Autoimmune Disease Biomarker Detection

Background:

• * Autoantibodies (AAb), including antinuclear (ANA) and anticytoplasmic (ACyA), are crucial for diagnosing autoimmune diseases.
• * Manual indirect immunofluorescence (IIF) on HEp-2 cells is the standard but is time-consuming, costly, and prone to variability.
• * An automated IIF-HEp-2 reader has been developed to address these limitations.

Purpose of the Study:

• * To evaluate the performance of an automated IIF-HEp-2 system for autoantibody detection.
• * To compare the automated system's accuracy against manual interpretation and routine immunoassays.
• * To assess the diagnostic potential of automated antinuclear and anticytoplasmic antibody interpretation.

Main Methods:

• * Indirect immunofluorescence (IIF) on HEp-2 cells was performed on 260 patient sera.
• * Samples included patients with systemic lupus erythematosus, dermatomyositis/polymyositis, systemic sclerosis, rare AAb patterns, and healthy controls.
• * Comparison of a novel automated IIF-HEp-2 system (Aklides pattern recognition) with manual reading and immunodot assays.

Main Results:

• * Automated interpretation detected positive autoantibodies in 95-100% of rheumatic patients, compared to 74-100% for manual reading and 64-100% for immunodot assays.
• * High sensitivity and specificity were observed for the automated reading of autoantibodies.
• * Agreement between manual and automated interpretation ranged from 90% to 95% (kappa 0.554-0.69).

Conclusions:

• * The automated IIF-HEp-2 system demonstrates good correlation with manual interpretation for autoantibodies, including ANA and ACyA.
• * Full automation can minimize errors in ANA pattern interpretation, aiding standardization.
• * This technology offers a promising advancement for accurate and efficient autoimmune disease diagnosis.