Evidence map›Paper›PMID 39250722›Full record

ArticleNeurology(R) neuroimmunology & neuroinflammation2024

Serological Markers of Clinical Improvement in MuSK Myasthenia Gravis.

Gregorio Spagni, Angela Vincent, Bo Sun, Silvia Falso, Leslie W Jacobson, Sean Devenish, Amelia Evoli, Valentina Damato

Abstract read
In one paragraph

Article in Neurology(R) neuroimmunology & neuroinflammation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
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

8 authors.

Gregorio SpagniFrom the Department of Neuroscience (G.S., S.F., A.E.), Università Cattolica del Sacro Cuore, Rome, Italy; German Center for Neurodegenerative Diseases (DZNE) Berlin (G.S.), Berlin, Germany; Nuffield Department of Clinical Neurosciences (A.V., B.S., L.W.J.), University of Oxford; Fluidic Analytics Ltd (S.D.), The Paddocks Business Centre, Cambridge, United Kingdom; and Department of Neurosciences (V.D.), Drugs and Child Health, University of Florence, Italy.ORCID 0000-0003-0656-9671
Angela VincentFrom the Department of Neuroscience (G.S., S.F., A.E.), Università Cattolica del Sacro Cuore, Rome, Italy; German Center for Neurodegenerative Diseases (DZNE) Berlin (G.S.), Berlin, Germany; Nuffield Department of Clinical Neurosciences (A.V., B.S., L.W.J.), University of Oxford; Fluidic Analytics Ltd (S.D.), The Paddocks Business Centre, Cambridge, United Kingdom; and Department of Neurosciences (V.D.), Drugs and Child Health, University of Florence, Italy.ORCID 0000-0003-2395-8695
Bo SunFrom the Department of Neuroscience (G.S., S.F., A.E.), Università Cattolica del Sacro Cuore, Rome, Italy; German Center for Neurodegenerative Diseases (DZNE) Berlin (G.S.), Berlin, Germany; Nuffield Department of Clinical Neurosciences (A.V., B.S., L.W.J.), University of Oxford; Fluidic Analytics Ltd (S.D.), The Paddocks Business Centre, Cambridge, United Kingdom; and Department of Neurosciences (V.D.), Drugs and Child Health, University of Florence, Italy.ORCID 0000-0002-5507-6657
Silvia FalsoFrom the Department of Neuroscience (G.S., S.F., A.E.), Università Cattolica del Sacro Cuore, Rome, Italy; German Center for Neurodegenerative Diseases (DZNE) Berlin (G.S.), Berlin, Germany; Nuffield Department of Clinical Neurosciences (A.V., B.S., L.W.J.), University of Oxford; Fluidic Analytics Ltd (S.D.), The Paddocks Business Centre, Cambridge, United Kingdom; and Department of Neurosciences (V.D.), Drugs and Child Health, University of Florence, Italy.ORCID 0000-0002-6264-5299
Leslie W JacobsonFrom the Department of Neuroscience (G.S., S.F., A.E.), Università Cattolica del Sacro Cuore, Rome, Italy; German Center for Neurodegenerative Diseases (DZNE) Berlin (G.S.), Berlin, Germany; Nuffield Department of Clinical Neurosciences (A.V., B.S., L.W.J.), University of Oxford; Fluidic Analytics Ltd (S.D.), The Paddocks Business Centre, Cambridge, United Kingdom; and Department of Neurosciences (V.D.), Drugs and Child Health, University of Florence, Italy.
Sean DevenishFrom the Department of Neuroscience (G.S., S.F., A.E.), Università Cattolica del Sacro Cuore, Rome, Italy; German Center for Neurodegenerative Diseases (DZNE) Berlin (G.S.), Berlin, Germany; Nuffield Department of Clinical Neurosciences (A.V., B.S., L.W.J.), University of Oxford; Fluidic Analytics Ltd (S.D.), The Paddocks Business Centre, Cambridge, United Kingdom; and Department of Neurosciences (V.D.), Drugs and Child Health, University of Florence, Italy.
Amelia EvoliFrom the Department of Neuroscience (G.S., S.F., A.E.), Università Cattolica del Sacro Cuore, Rome, Italy; German Center for Neurodegenerative Diseases (DZNE) Berlin (G.S.), Berlin, Germany; Nuffield Department of Clinical Neurosciences (A.V., B.S., L.W.J.), University of Oxford; Fluidic Analytics Ltd (S.D.), The Paddocks Business Centre, Cambridge, United Kingdom; and Department of Neurosciences (V.D.), Drugs and Child Health, University of Florence, Italy.ORCID 0000-0002-4644-2299
Valentina DamatoFrom the Department of Neuroscience (G.S., S.F., A.E.), Università Cattolica del Sacro Cuore, Rome, Italy; German Center for Neurodegenerative Diseases (DZNE) Berlin (G.S.), Berlin, Germany; Nuffield Department of Clinical Neurosciences (A.V., B.S., L.W.J.), University of Oxford; Fluidic Analytics Ltd (S.D.), The Paddocks Business Centre, Cambridge, United Kingdom; and Department of Neurosciences (V.D.), Drugs and Child Health, University of Florence, Italy.ORCID 0000-0003-1740-4522

Funding

Rare Disease Network for Myasthenia GravisU54NS115054 · NINDS · GEORGE WASHINGTON UNIVERSITY · PI HENRY J KAMINSKI · 2019 to 2026
$11.9M
NIH HHS U54 NS115054
6 · The paper itself

Abstract

BACKGROUND AND

objectivesIn this retrospective longitudinal study, we aimed at exploring the role of (a) MuSK-immunoglobulin G (IgG) levels, (b) predominant MuSK-IgG subclasses, and (c) antibody affinity as candidate biomarkers of severity and outcomes in MuSK-MG, using and comparing different antibody testing techniques.

methodsTotal MuSK-IgGs were quantified with radioimmunoassay (RIA), ELISA, flow cytometry, and cell-based assay (CBA) serial dilutions using HEK293 cells transfected with MuSK-eGFP. MuSK-IgG subclasses were measured by flow cytometry. SAffCon assay was used for determining MuSK-IgG affinity.

resultsForty-three serum samples were obtained at different time points from 20 patients with MuSK-MG (median age at onset: 48 years, interquartile range = 27.5-72.5; women, 16/20), with 9 of 20 (45%) treated with rituximab. A strong correlation between MuSK-IgG levels measured by flow cytometry and RIA titers was found (r DISCUSSION: Our data support the quantification of MuSK antibodies by flow cytometry. Through a multimodal investigational approach, we showed that total MuSK-IgG levels, MuSK-IgG4 and MuSK-IgG2 levels, and MuSK-IgG affinity may represent promising biomarkers of disease outcomes in MuSK-MG.

Indexed as

BiomarkersImmunoglobulin GMyasthenia GravisReceptors, CholinergicAdultAgedAutoantibodiesFemaleHEK293 CellsHumansImmunologic FactorsLongitudinal StudiesMaleMiddle AgedReceptor Protein-Tyrosine KinasesRetrospective StudiesAutoantibodiesBiomarkersImmunoglobulin GImmunologic FactorsMUSK protein, humanReceptor Protein-Tyrosine KinasesReceptors, CholinergicRituximab

Identifiers

PMID39250722
PMCPMC11385952

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.