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Deciphering the Autoantibody Response to the OJ Antigenic Complex

(1) Background: Myositis specific antibodies (MSA) are important diagnostic biomarkers. Among the rarest and most challenging MSA are anti-OJ antibodies which are associated with anti-synthetase syndrome (ASS). In contrast to the other tRNA synthetases that are targets of ASS autoantibodies (e.g Jo-...

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Autores principales: Fritzler, Marvin J., Bentow, Chelsea, Satoh, Minoru, McHugh, Neil, Ghirardello, Anna, Mahler, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818932/
https://www.ncbi.nlm.nih.gov/pubmed/36611448
http://dx.doi.org/10.3390/diagnostics13010156
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author Fritzler, Marvin J.
Bentow, Chelsea
Satoh, Minoru
McHugh, Neil
Ghirardello, Anna
Mahler, Michael
author_facet Fritzler, Marvin J.
Bentow, Chelsea
Satoh, Minoru
McHugh, Neil
Ghirardello, Anna
Mahler, Michael
author_sort Fritzler, Marvin J.
collection PubMed
description (1) Background: Myositis specific antibodies (MSA) are important diagnostic biomarkers. Among the rarest and most challenging MSA are anti-OJ antibodies which are associated with anti-synthetase syndrome (ASS). In contrast to the other tRNA synthetases that are targets of ASS autoantibodies (e.g Jo-1, PL-7, PL-12, EJ, KS, Zo), OJ represents a macromolecular complex with several ribonucleoprotein subunits. Therefore, the choice of the antigen in autoantibody assays can be challenging. (2) Methods: We collected two independent cohorts with anti-OJ antibodies, one based on a commercial line immunoassay (LIA) (n = 39), the second based on protein immunoprecipitation (IP) (n = 15). Samples were tested using a particle-based multi-analyte technology (PMAT) system that allows for the simultaneous detection of antibodies to various autoantigens. For the detection of anti-OJ antibodies, two different antigens were deployed (KARS, IARS) on PMAT. The reactivity to the two antigens KARS and IARS was analyzed individually and combined in a score (sum of the median fluorescence intensities). (3) Results: In the cohort selection based on LIA, 3/39 (7.7%) samples were positive for anti-KARS and 7/39 (17.9%) for anti-IARS and 14/39 (35.9%) when the two antigens were combined. In contrast, in samples selected by IP the sensitivity of anti-KARS was higher: 6/15 (40.0%) samples were positive for anti-KARS, 4/15 (26.7%) for anti-IARS and 12/15 (80.0%) for the combination of the two antigens. 18/39 (46.2%) of the LIA samples generated a cytoplasmic IIF pattern (compatible with anti-synthetase antibodies), but there was no association with the antibody levels, neither with LIA nor with PMAT. (4) Conclusions: The combination of IARS and KARS might represent a promising approach for the detection of anti-OJ antibodies on a fully automated platform.
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spelling pubmed-98189322023-01-07 Deciphering the Autoantibody Response to the OJ Antigenic Complex Fritzler, Marvin J. Bentow, Chelsea Satoh, Minoru McHugh, Neil Ghirardello, Anna Mahler, Michael Diagnostics (Basel) Article (1) Background: Myositis specific antibodies (MSA) are important diagnostic biomarkers. Among the rarest and most challenging MSA are anti-OJ antibodies which are associated with anti-synthetase syndrome (ASS). In contrast to the other tRNA synthetases that are targets of ASS autoantibodies (e.g Jo-1, PL-7, PL-12, EJ, KS, Zo), OJ represents a macromolecular complex with several ribonucleoprotein subunits. Therefore, the choice of the antigen in autoantibody assays can be challenging. (2) Methods: We collected two independent cohorts with anti-OJ antibodies, one based on a commercial line immunoassay (LIA) (n = 39), the second based on protein immunoprecipitation (IP) (n = 15). Samples were tested using a particle-based multi-analyte technology (PMAT) system that allows for the simultaneous detection of antibodies to various autoantigens. For the detection of anti-OJ antibodies, two different antigens were deployed (KARS, IARS) on PMAT. The reactivity to the two antigens KARS and IARS was analyzed individually and combined in a score (sum of the median fluorescence intensities). (3) Results: In the cohort selection based on LIA, 3/39 (7.7%) samples were positive for anti-KARS and 7/39 (17.9%) for anti-IARS and 14/39 (35.9%) when the two antigens were combined. In contrast, in samples selected by IP the sensitivity of anti-KARS was higher: 6/15 (40.0%) samples were positive for anti-KARS, 4/15 (26.7%) for anti-IARS and 12/15 (80.0%) for the combination of the two antigens. 18/39 (46.2%) of the LIA samples generated a cytoplasmic IIF pattern (compatible with anti-synthetase antibodies), but there was no association with the antibody levels, neither with LIA nor with PMAT. (4) Conclusions: The combination of IARS and KARS might represent a promising approach for the detection of anti-OJ antibodies on a fully automated platform. MDPI 2023-01-03 /pmc/articles/PMC9818932/ /pubmed/36611448 http://dx.doi.org/10.3390/diagnostics13010156 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fritzler, Marvin J.
Bentow, Chelsea
Satoh, Minoru
McHugh, Neil
Ghirardello, Anna
Mahler, Michael
Deciphering the Autoantibody Response to the OJ Antigenic Complex
title Deciphering the Autoantibody Response to the OJ Antigenic Complex
title_full Deciphering the Autoantibody Response to the OJ Antigenic Complex
title_fullStr Deciphering the Autoantibody Response to the OJ Antigenic Complex
title_full_unstemmed Deciphering the Autoantibody Response to the OJ Antigenic Complex
title_short Deciphering the Autoantibody Response to the OJ Antigenic Complex
title_sort deciphering the autoantibody response to the oj antigenic complex
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818932/
https://www.ncbi.nlm.nih.gov/pubmed/36611448
http://dx.doi.org/10.3390/diagnostics13010156
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