Evidence mapPaperPMID 41824923Full record

ArticleNeurology(R) neuroimmunology & neuroinflammation2026

Development of a Diagnostic Autoantibody Assay to a Consensus Motif for the Risk Prediction of Epstein-Barr Virus-Related Multiple Sclerosis.

Krista M McCutcheon, Aaron Bodansky, Thomas T Ngo, Colette Caspar, Sydney Quintana, James Asaki, Jing Zhou, Stacy J Caillier, Akshay Sharathchandra, Greer Waldrop and 14 more

Abstract read
In one paragraph

Article in Neurology(R) neuroimmunology & neuroinflammation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Krista M McCutcheonSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.ORCID 0000-0003-1942-5175
Aaron BodanskySchool of Medicine, Division of Pediatric Critical Care Medicine, University of California San Francisco.ORCID 0000-0001-8943-8233
Thomas T NgoSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.
Colette CasparSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.
Sydney QuintanaSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.
James AsakiSchool of Medicine, Division of Pediatric Critical Care Medicine, University of California San Francisco.
Jing ZhouSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.
Stacy J CaillierSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.ORCID 0000-0002-0218-2077
Akshay SharathchandraSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.
Greer WaldropSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.ORCID 0000-0001-6408-2330
Ravi DandekarSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.
Kelsey ZornSchool of Medicine, Biochemistry and Biophysics, University of California San Francisco.ORCID 0000-0003-1227-2137
Asritha TubatiSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.
Sasha GuptaSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.ORCID 0000-0002-1972-7301
Joseph J SabatinoSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.ORCID 0000-0002-6804-7441
Richard CuneoSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.ORCID 0009-0008-8589-9209
Jorge OksenbergSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.ORCID 0000-0002-3613-9544
Mitchell T WallinDepartment of Veterans Affairs, Multiple Sclerosis Center of Excellence, Washington, DC.ORCID 0000-0003-1061-5714
Bruce A C CreeSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.ORCID 0000-0001-7689-2533
Stephen L HauserSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.ORCID 0000-0002-4932-4001
Samuel PleasureSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.ORCID 0000-0001-8599-1613
Joseph DerisiSchool of Medicine, Biochemistry and Biophysics, University of California San Francisco.ORCID 0000-0002-4611-9205
Michael R WilsonSchool of Medicine, Neurology, UCSF Weill Institute for Neurosciences, University of California San Francisco.ORCID 0000-0002-8705-5084
and the UCSF ORIGINS/EPIC team

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesMultiple sclerosis (MS) is a chronic progressive, demyelinating autoimmune CNS disease. Autoantibodies to the motif P-(SA)-x-(SGA)-R-(SN)-(LRKH) are a class of predictive markers specific to MS that could add to emerging diagnostic criteria for MS. In this study, we describe the discovery of an MS patient-derived monoclonal antibody (mAb) specific to this motif from memory B cells, and we develop a proof-of-principle autoantibody test to report the prevalence of seropositivity, predict MS early in disease, and identify underlying tolerance-breaking antigens in Epstein-Barr virus (EBV) and the CNS.

methodsPeptide tetramers containing the motif were used to screen activated memory B cells, collected from a patient with MS, on the Beacon Optofluidic system. A mAb to the motif and serum samples from clinically diagnosed patients with MS and healthy controls were used to qualify a Luminex xMAP autoantibody serologic test. Antigen discovery methods included phage-immunoprecipitation sequencing (PhIP-Seq), biolayer interferometry, human protein microarrays, isoelectric focusing gels and blots, and immunofluorescence staining of mouse brain cell cultures.

resultsA mAb cloned from an MS patient's memory B cells binds diverse peptides containing the MS signature motif with affinities ranging from 2 to 25 nM. Consensus peptides defined by alanine scanning PhIP-Seq were used to develop an autoimmune IgG test with a sensitivity equivalent to 0.5 ng/mL mAb, a precision of <11%, and a positivity rate of 11% among a cohort of 179 patients with MS (n = 91 healthy and n = 49 unrelated neurologic disease serum samples were negative). Utility of the assay for prodromal MS was demonstrated using retrospective, longitudinal samples from cases in the Department of Defense Serum Repository. The mAb identified EBV tegument protein BRRF2 as a tolerance-breaking antigen with nanomolar affinity, containing the motif with reactivity to oligoclonal bands in CSF from MS signature-positive patients. Immunocytochemical staining of mixed mouse neuronal cells showed the dominant cross-reactive human antigen to be vimentin. DISCUSSION: We describe a test for MS signature autoantibodies that could be used to support MS diagnosis, prodromal research, and early interventions. The integration of this assay with other emerging biomarkers will advance progress toward a combined predictive risk score for MS.

Indexed as

AutoantibodiesEpstein-Barr Virus InfectionsMultiple SclerosisAdultAnimalsFemaleHerpesvirus 4, HumanHumansMaleMiceMiddle AgedAutoantibodies

Identifiers

PMID41824923
PMCPMC12983327

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.