Evaluation of a New Multiparametric Microdot Array-Based Immunoassay Panel for Systemic Autoimmune Disease Diagnosis

Author:

Infantino Maria1ORCID,Pavia Francesca1,Grossi Valentina1,Lari Barbara1,Benucci Maurizio2ORCID,Li Gobbi Francesca2,Pancani Silvia3,Manfredi Mariangela1

Affiliation:

1. Immunology and Allergology Laboratory, S. Giovanni di Dio Hospital, 50143 Florence, Italy

2. Rheumatology Unit, S. Giovanni di Dio Hospital, 50143 Florence, Italy

3. IRCCS Fondazione Don Carlo Gnocchi, 50143 Florence, Italy

Abstract

Background: The early reliable detection and quantification of autoantibodies play an important role in autoimmune disease diagnosis and in disease-course monitoring. New technologies, such as the multiplexed determination of autoantibodies, have recently been introduced and are being adopted more frequently. The aim of this study was to evaluate the ability of a new microdot array-based multiparametric assay (ZENIT AMiDot CTD panel, A. Menarini Diagnostics, Firenze, Italy) to correctly classify patients with autoimmune rheumatic diseases (ARDs) and compare it to a fluorescence enzyme immunoassay (FEIA) for the detection of anti-ENAs. Methods: The study included 69 consecutive samples from patients with ARDs that were analyzed using two different methods (FEIA and AMiDot) to detect anti-CENP B and six anti-ENA antibodies: anti-Scl-70, anti-SSB/La, anti-Jo-1, anti-U1-RNP, anti-Ro52, and anti-Ro60. The control group sera came from sixty-eight blood donors. Tests were run on the automated slide processor ZENIT FLOW, and then the slides were imaged and analyzed using ZENIT fast. Results: Since the samples were selected for at least one antibody positivity with an ARD diagnosis, we did not calculate clinical sensitivity but only specificity, which was 98.53%, ranging from 90% for anti-SSB/La antibodies to 100% for anti-CENP B ones. Mean agreement among the methods assessed by Cohen’s kappa was 0.816 ± 0.240. Conclusions: The assay demonstrated good clinical performance and may be considered a valuable aid in detecting ARD patients, offering an alternative to methods such as FEIA which are largely in use today.

Publisher

MDPI AG

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