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Patterns of autoantibody expression in multiple sclerosis identified through development of an autoantigen discovery technology
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
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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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 2

Autoantigen selection assay.

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Autoantigen selection assay.
(A) Schema for autoantigen selection. Phage...
(A) Schema for autoantigen selection. Phage displaying human protein fragments were immunoselected by serum IgG-bound protein G-paramagnetic beads. Samples were multiplexed, identified by deep sequencing, quantified, and statistically analyzed. (B) Immunoselection results for 9 rabbit antisera generated against specific protein fragments of the human proteins ABI2, ATN1, CALD1, DDX5, ITGB1, MAPK9, NONO, PCNA, and UBA1. Black boxes indicate immunogen region (target protein fragments); white boxes indicate nonimmunogen region (off-target protein fragments) of the same protein. Protein fragments selected by the rabbit antisera antibody (Ab), fragments selected by a control serum, and the relative density of fragments available for selection in the input library are all shown. (C and D) Scatter plot showing autoantigens (dots) selected in 2 independent experiments using (C) the same serum sample (Donor #1) or (D) 2 different serum samples (Donor #1 and an age-matched control). Axes indicate sequencing counts (log10 scale). (E) Heatmap shows autoantigens selected by Donor #1 sera over the span of 14.4 years, where time 0 is the first serum sample collected. Each row represents a different antigen, ranked based on time 9.4 serum autoantibody selections. Only the top 50 autoantigens (based on counts) selected by Donor #1 time 9.4 are shown for brevity.

Copyright © 2026 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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