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Patterns of autoantibody expression in multiple sclerosis identified through development of an autoantigen discovery technology
Europe B. DiCillo, … , David Pisetsky, Thomas Tedder
Europe B. DiCillo, … , David Pisetsky, Thomas Tedder
Published March 3, 2025
Citation Information: J Clin Invest. 2025;135(5):e171948. https://doi.org/10.1172/JCI171948.
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Research Article Autoimmunity Neuroscience

Patterns of autoantibody expression in multiple sclerosis identified through development of an autoantigen discovery technology

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Abstract

Multiple sclerosis (MS) is a debilitating autoimmune disease of the CNS, which is characterized by demyelination and axonal injury and frequently preceded by a demyelinating event called clinically isolated syndrome (CIS). Despite the importance of B cells and autoantibodies in MS pathology, their target specificities remain largely unknown. For an agnostic and comprehensive evaluation of autoantibodies in MS, we developed and employed what we believe to be a novel autoantigen discovery technology, the Antigenome Platform. This Platform is a high-throughput assay comprising large-fragment (approximately 100 amino acids) cDNA libraries, phage display, serum antibody screening technology, and robust bioinformatics analysis pipelines. For autoantibody discovery, we assayed serum samples from CIS patients who received either placebo or treatment who were enrolled in the REFLEX clinical trial, which assessed the effects of IFN-β-1a (Rebif) clinical and MRI activity in patients with CIS. Serum autoantibodies from patients with CIS were significantly and reproducibly enriched for known and previously unreported protein targets; 166 targets were selected by over 10% of patients’ sera. Further, 10 autoantibody biomarkers associated with disease activity and 17 associated with patient response to IFN-β-1a therapy. These findings indicate widespread autoantibody production in MS and provide biomarkers for continued study and prediction of disease progression.

Authors

Europe B. DiCillo, Evgueni Kountikov, Minghua Zhu, Stefan Lanker, Danielle E. Harlow, Elizabeth R. Piette, Weiguo Zhang, Brooke Hayward, Joshua Heuler, Julie Korich, Jeffrey L. Bennett, David Pisetsky, Thomas Tedder

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Figure 4

CIS-subgroup–enriched autoantigens.

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CIS-subgroup–enriched autoantigens.
(A) Venn diagram shows the overlap o...
(A) Venn diagram shows the overlap of PBO-A– and PBO-NA–enriched autoantigens compared with HCs. The second tier indicates the number of autoantigens selected by more-than 10% of PBO-A (blue) or PBO-NA (red) from the uniquely enriched PBO-A (67) or PBO-NA (53) autoantigens. (B) Venn diagram shows the overlap of antigens enriched in the RNF-A and RNF-NA subgroups compared with HCs. The second tier indicates the number of autoantigens selected by more-than 10% of RNF-A (purple) or RNF-NA (green) from uniquely enriched RNF-A (91) or RNF-NA (46) autoantigens. (C) Venn diagram shows the overlap of antigens enriched in each MS subgroup compared with HCs. (D–G) A protein-protein interaction network for (D) The 35 PBO-A autoantigens uniquely enriched compared with PBO-NA and shared by more-than 10% of patients, (E) The 41 PBO-NA autoantigens uniquely enriched compared with PBO-A, found in more-than 10% of patients, (F) The 37 RNF-A autoantigens uniquely enriched compared with RNF-NA, found in more-than 10% of patients, and (G) The 21 RNF-NA autoantigens uniquely enriched compared with RNF-A, found in more-than 10% of patients. Circles represent antigens and the connecting lines represent interactions between antigens, colored according to the type of data from which the information is derived. For D–G, the “STRING Legend” indicates what the color of the connecting lines represent. Disconnected nodes are omitted. Derived from STRING database (string-db.org). (H–K) Graphs show the percent of antigens in each subcellular location for (H) The group of 35 PBO-A–associated autoantigens, (I) The group of 41 PBO-NA–associated autoantigens, (J) The group of 37 RNF-A–associated autoantigens, and (K) The group of 21 RNF-NA–associated autoantigens. Stars denote significantly enriched locations (P value < 0.05) over what is expected from the same number of random set of proteins the same size. Derived from SubCell Barcode (www.subcellbarcode.org).

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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