Evidence map›Paper›PMID 37205595›Full record

ArticlemedRxiv : the preprint server for health sciences2023

A Predictive Autoantibody Signature in Multiple Sclerosis.

Colin R Zamecnik, Gavin M Sowa, Ahmed Abdelhak, Ravi Dandekar, Rebecca D Bair, Kristen J Wade, Christopher M Bartley, Asritha Tubati, Refujia Gomez, Camille Fouassier and 27 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

37 authors at 3 institutions in 1 country.

Colin R ZamecnikUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Gavin M SowaDepartment of Medicine, McGaw Medical Center of Northwestern University, Chicago, IL, USA.
Ahmed AbdelhakUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Ravi DandekarUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Rebecca D BairUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Kristen J WadeUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Christopher M BartleyUCSF Weill Institute for Neurosciences, Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA.
Asritha TubatiUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Refujia GomezUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Camille FouassierUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Chloe GerunganUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Jessica AlexanderUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Anne E WapniarskiUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Rita P LoudermilkUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Erica L EggersUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Kelsey C ZornDepartment of Biochemistry and Biophysics, University of California, San Francisco, CA, USA.
Kirtana AnanthUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Nora JabassiniUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Sabrina A MannDepartment of Biochemistry and Biophysics, University of California, San Francisco, CA, USA.
Nicholas R RaganUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Adam SantanielloUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Roland G HenryUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Sergio E BaranziniUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Scott S ZamvilUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Riley M BoveUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Chu-Yueh GuoUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Jeffrey M GelfandUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Richard CuneoUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
H-Christian von BüdingenUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Jorge R OksenbergUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Bruce Ac CreeUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Jill A HollenbachUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Ari J GreenUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Stephen L HauserUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
Mitchell T WallinVeterans Affairs, Multiple Sclerosis Center of Excellence, Washington, DC and University of Maryland School of Medicine, Baltimore, MD, USA.
Joseph L DeRisiDepartment of Biochemistry and Biophysics, University of California, San Francisco, CA, USA.
Michael R WilsonUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA.
University of California, San Francisco · USNorthwestern University · USUniversity of Maryland, Baltimore · US

Funding

The Role of B cells in the Origin and Progression of Multiple SclerosisR35NS111644 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEPHEN L HAUSER · 2019 to 2026
$9.1M
The Molecular Architecture of Axons in Health and DiseaseR35NS122073 · NINDS · BAYLOR COLLEGE OF MEDICINE · PI MATTHEW N RASBAND · 2021 to 2026
$5.6M
The landscape of HLA mediated variation in health and immunityR01AI158861 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOLLENBACH, JILL ALLISON · 2021 to 2025
$3.5M
NIAID NIH HHS R01 AI158861NINDS NIH HHS R35 NS111644NINDS NIH HHS R35 NS122073
6 · The paper itself

Abstract

Although B cells are implicated in multiple sclerosis (MS) pathophysiology, a predictive or diagnostic autoantibody remains elusive. Here, the Department of Defense Serum Repository (DoDSR), a cohort of over 10 million individuals, was used to generate whole-proteome autoantibody profiles of hundreds of patients with MS (PwMS) years before and subsequently after MS onset. This analysis defines a unique cluster of PwMS that share an autoantibody signature against a common motif that has similarity with many human pathogens. These patients exhibit antibody reactivity years before developing MS symptoms and have higher levels of serum neurofilament light (sNfL) compared to other PwMS. Furthermore, this profile is preserved over time, providing molecular evidence for an immunologically active prodromal period years before clinical onset. This autoantibody reactivity was validated in samples from a separate incident MS cohort in both cerebrospinal fluid (CSF) and serum, where it is highly specific for patients eventually diagnosed with MS. This signature is a starting point for further immunological characterization of this MS patient subset and may be clinically useful as an antigen-specific biomarker for high-risk patients with clinically- or radiologically-isolated neuroinflammatory syndromes.

Indexed as

antigenMultiple sclerosisneurofilament light chainphage displayPhIP-Seqserology

Identifiers

PMID37205595
PMCPMC10187343
OpenAlexW4367845772

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.