| Literature DB >> 35328200 |
Juan Irure-Ventura1,2, Marcos López-Hoyos1,2,3.
Abstract
Autoantibodies are a hallmark of autoimmunity and, specifically, antinuclear antibodies (ANAs) are the most relevant autoantibodies present in systemic autoimmune rheumatic diseases (SARDs). Over the years, different methods from LE cell to HEp-2 indirect immunofluorescence (IIF), solid-phase assays (SPAs), and finally multianalyte technologies have been developed to study ANA-associated SARDs. All of them provide complementary information that is important to provide the most clinically valuable information. The identification of new biomarkers together with multianalyte platforms will help close the so-called "seronegative gap" and to correctly classify and diagnose patients with SARDs. Finally, artificial intelligence and machine learning is an area still to be exploited but in a next future will help to extract patterns within patient data, and exploit these patterns to predict patient outcomes for improved clinical management.Entities:
Keywords: antinuclear antibodies (ANAs); indirect immunofluorescence (IIF); machine learning; particle-based multi-analyte technology (PMAT); solid-phase assays; systemic autoimmune rheumatic diseases (SARDs)
Year: 2022 PMID: 35328200 PMCID: PMC8946865 DOI: 10.3390/diagnostics12030647
Source DB: PubMed Journal: Diagnostics (Basel) ISSN: 2075-4418
Figure 1Conventional algorithm for ANA screening at present by using screening with IIF on HEp-2 cells.
Figure 2Evolution of ANA request from the 1950s to 2022 according to the involvement of autoimmune phenomena in different diseases and technological development.
Figure 3Solid-phase assays (ELISA, FEIA, and CIA) and line or dot blots as screening and confirmation methods for autoantibody detection.
Figure 4Multiplexed assays (ALBIA and PMAT) for autoantibody detection.
Figure 5Schematic representation of a machine-learning process.
Figure 6Chronological flow chart including the main events in the past, present, and future of antinuclear antibody (ANA) testing.