Fully automated chemiluminescence microarray immunoassay for detection of antinuclear antibodies in systemic autoimmune rheumatic diseases

Abstract

Objectives Detection of specific antinuclear antibodies is very important in term of diagnosis, prognosis and management of patients with systemic autoimmune rheumatic diseases. Chemiluminescence microarray immunoassay (CLMIA) is a microdot array-based method that allows simultaneous detection of multiple antinuclear antibodies, which received increasing attention. Methods A CLMIA method that can detect 14 kinds of antinuclear antibodies was established and optimized. Basic performance and diagnostic performance of CLMIA was evaluated by comparing it with line immunoassay (LIA) and indirect immunofluorescence (IIF). Results Through conditional exploration, the optimal blocking time and blocking temperature were determined to be 18 h and 25 °C, respectively. The enzyme-labeled secondary antibody reaction concentration was 0.1 μg/mL, the incubation temperature of serum and enzyme-labeled secondary antibody were 30 °C, and the incubation time of serum and enzyme-labeled secondary antibody were 40 min. After parameter optimization, CLMIA demonstrated high accuracy with a relative bias <15 %; high sensitivity with detection limits below 3 IU/mL for dsDNA and below 1 RU/mL for other ANAs; and high reproducibility with both intra-assay and inter-assay coefficients of variation (CV) <15 %.The CLMIA detection method established in this study was also demonstrated to have good clinical diagnostic performance, showing the highest area under curve (AUC=0.87, p=0.042 and p=0.03). The CLMIA and LIA revealed substantial to good agreements on specific antinuclear antibodies except anti-dsDNA, with the Cohen’s kappa from 0.72 to 0.89. Samples that produced discrepant results between the CLMIA and LIA methods were further analyzed. Upon additional testing, most of these samples were ultimately determined to have been correctly detected by the CLMIA assay rather than the LIA assay, suggesting that CLMIA also shows some superiority in diagnosing dsDNA. Conclusions The CLMIA could become a potential routine method for detecting ANAs with the advantages of good detection performance.