Evidence map›Paper›PMID 39165841›Full record

ArticleiScience2024

Serum protein biomarker profile distinguishes acetylcholine receptor antibody seropositive myasthenia gravis patients from healthy controls.

Amol K Bhandage, Viktorija Kenina, Yu-Fang Huang, Marija Roddate, Gundega Kauke, Arta Grosmane, Violeta Žukova, Niclas Eriksson, Katja Gabrysch, Tanel Punga and 1 more

Abstract read
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
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  11. Circulating inflammatory proteins as pathogenic mediators and potential therapeutic targets in myasthenia gravis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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  12. 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

11 authors.

Amol K BhandageDepartment of Medical Sciences, Clinical Neurophysiology, Uppsala University, Uppsala, Sweden.
Viktorija KeninaDepartment of Neurology, Paul Stradinš Clinical University Hospital, Riga, Latvia.
Yu-Fang HuangDepartment of Medical Sciences, Clinical Neurophysiology, Uppsala University, Uppsala, Sweden.
Marija RoddateDepartment of Neurology, Paul Stradinš Clinical University Hospital, Riga, Latvia.
Gundega KaukeDepartment of Neurology, Paul Stradinš Clinical University Hospital, Riga, Latvia.
Arta GrosmaneDepartment of Neurology, Riga Stradinš University, Riga, Latvia.
Violeta ŽukovaDepartment of Neurology, Paul Stradinš Clinical University Hospital, Riga, Latvia.
Niclas ErikssonUppsala Clinical Research Center, Uppsala University, Uppsala, Sweden.
Katja GabryschUppsala Clinical Research Center, Uppsala University, Uppsala, Sweden.
Tanel PungaDepartment of Medical Biochemistry and Microbiology, Uppsala University, Uppsala, Sweden.
Anna Rostedt PungaDepartment of Medical Sciences, Clinical Neurophysiology, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an unmet need for objective disease-specific biomarkers in the heterogeneous autoimmune neuromuscular disorder myasthenia gravis (MG). This cross-sectional study identified a signature of 23 inflammatory serum proteins with proximity extension assay (PEA) that distinguishes acetylcholine receptor antibody seropositive (AChR+) MG patients from healthy controls (HCs). CCL28, TNFSF14, 4E-BP1, transforming growth factor alpha (TGF-α), and ST1A1 ranked top biomarkers. TGF-β1 and osteoprotegerin (OPG) differed between early- and late-onset MG, whereas CXCL10, TNFSF14, CCL11, interleukin-17C (IL-17C), and TGF-α differed significantly with immunosuppressive treatment. MG patients with moderate to high disease severity had lower uPA. Previously defined MG-associated microRNAs, miR-150-5p, miR-30e-5p, and miR-21-5p, correlated inversely with ST1A1 and TNFSF14. The presented inflammatory proteins that distinguish AChR+ MG are promising serum biomarkers for validation in prospective studies to allow for molecular signatures for patient subgroup stratification and monitoring of treatment response.

Indexed as

Molecular neuroscienceNeuroscience

Identifiers

PMID39165841
PMCPMC11334828

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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 OpenQuestion graph.