Evidence map›Paper›PMID 42364069›Full record

ArticleNeurology and therapy2026

Utility of Multi-Analyte Protein Assay to Distinguish Multiple Sclerosis Clinical Relapse from Pseudoexacerbation.

Darin T Okuda, Tatum M Moog, Morgan C McCreary, Isabella J Huddleston, Crystal M Wright, Katy W Burgess, Jose R Santoyo, Peter V Sguigna, Olaf Stüve, Diem H Tran

Erratum issuedAbstract read
In one paragraph

Article in Neurology and therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Darin T OkudaDepartment of Neurology, The University of Texas Southwestern Medical Center, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, 5303 Harry Hines Blvd, Dallas, TX, USA. darin.okuda@UTsouthwestern.edu.ORCID http://orcid.org/0000-0002-6499-1523
Tatum M MoogDepartment of Neurology, The University of Texas Southwestern Medical Center, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, 5303 Harry Hines Blvd, Dallas, TX, USA.
Morgan C McCrearyDepartment of Neurology, The University of Texas Southwestern Medical Center, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, 5303 Harry Hines Blvd, Dallas, TX, USA.
Isabella J HuddlestonDepartment of Neurology, The University of Texas Southwestern Medical Center, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, 5303 Harry Hines Blvd, Dallas, TX, USA.
Crystal M WrightDepartment of Neurology, The University of Texas Southwestern Medical Center, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, 5303 Harry Hines Blvd, Dallas, TX, USA.
Katy W BurgessDepartment of Neurology, The University of Texas Southwestern Medical Center, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, 5303 Harry Hines Blvd, Dallas, TX, USA.
Jose R SantoyoDepartment of Neurology, The University of Texas Southwestern Medical Center, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, 5303 Harry Hines Blvd, Dallas, TX, USA.
Peter V SguignaDepartment of Neurology, The University of Texas Southwestern Medical Center, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, 5303 Harry Hines Blvd, Dallas, TX, USA.
Olaf StüveDepartment of Neurology, The University of Texas Southwestern Medical Center, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, 5303 Harry Hines Blvd, Dallas, TX, USA.
Diem H TranDepartment of Neurology, The University of Texas Southwestern Medical Center, Neuroinnovation Program, Multiple Sclerosis & Neuroimmunology Imaging Program, 5303 Harry Hines Blvd, Dallas, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMultiple sclerosis (MS) is a chronic neuroimmunological condition associated with acute relapses. Differentiating between acute symptom development related to autoimmune inflammatory demyelination versus pseudoexacerbation remains challenging. We aimed to evaluate the utility of a commercially available multi-analyte protein assay in (1) assessing acute patient-reported symptoms suggestive of clinical exacerbations by comparing the acquired proteomic results to the corresponding MRI findings, and (2) examining the role in the surveillance of disease in individuals exposed and non-exposed to FDA-approved disease-modifying therapies.

methodsA retrospective observational study was conducted within a single academic neuroimmunology clinic among individuals with an existing diagnosis of MS who had paired Octave

resultsSixty-six individuals with relapsing-remitting MS were included, with 33 being evaluated for acute neurological symptoms and 33 for routine disease surveillance. Among symptomatic individuals, MSDA testing preceded MRI in 79% of cases. Across both cohorts, a Disease Activity Score (DAS) ≥ 6.0-10.0 was highly sensitive and specific for predicting gadolinium-enhancing lesions. Elevated concentrations of myelin oligodendrocyte glycoprotein (p = 0.013) and neurofilament light (NfL) (p < 0.0001), and reduced B-cell activating factor levels (p < 0.0001), were observed in participants with gadolinium enhancement. The DAS predicted enhancement more accurately than NfL alone (area under the curve = 98.06% vs. 82.75%; p = 0.0061).

conclusionThe use of blood-based biomarkers may enable more timely and precise assessment of acute disease activity, improving clinical decision-making. Additionally, the MSDA Test demonstrated greater accuracy than NfL for identifying MRI-confirmed relapses.

Indexed as

Clinical relapseMulti-analyte protein assayMultiple sclerosisNeurofilamentPseudoexacerbation

Identifiers

PMID42364069
PMCPMC13615235

What Socratic holds

Textmetadata
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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 Socratic graph.