Evidence map›Paper›PMID 40384347›Full record

ArticleNeuropathology and applied neurobiology2025

Alpha-Synuclein as a Potential Biomarker for Inclusion Body Myositis in Blood and Muscle.

Tobias Mayer, Leila Scholle, Laura Foerster, Ilka Schneider, Gisela Stoltenburg-Didinger, Karl-Stefan Delank, Thomas Kendzierski, Anna Koelsch, Kathleen Kleeberg, Torsten Kraya and 5 more

Abstract read
In one paragraph

Article in Neuropathology and applied neurobiology, 2025. 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.

  1. In-vivo evidence of synucleinopathy in parkinsonism due to VCP mutation.Journal of neural transmission (Vienna, Austria : 1996) · 2026
    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

15 authors.

Tobias MayerDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.
Leila ScholleDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.
Laura FoersterDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.
Ilka SchneiderDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.
Gisela Stoltenburg-DidingerDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.
Karl-Stefan DelankDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.
Thomas KendzierskiDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.
Anna KoelschDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.
Kathleen KleebergDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.
Torsten KrayaDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.
Lorenzo BarbaDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.
Steffen NaegelDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.ORCID 0000-0003-1727-9362
Anne SchänzerInstitute of Neuropathology, Justus-Liebig University, Giessen, Germany.ORCID 0000-0002-2014-2028
Markus OttoDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.
Alexander MenschDepartment of Neurology, University Medicine Halle, Halle (Saale), Germany.ORCID 0000-0003-0089-4473

Funding

Baden-Württemberg Stiftung D.3830Boehringer Ingelheim Ulm University BioCenter D.5009Deutsche Forschungsgemeinschaft SFB1279EU Joint Programme-Neurodegenerative Diseases Networks Genfi-Prox 01ED2008AEuropean Union MOODMARKER 01EW2008Fondation Thierry Latran 10.13039/100009281German Federal Ministry of Education and Research FTLDc 01GI1007AMedical Faculty of Martin-Luther-University Halle-Wittenberg JCS24/02
6 · The paper itself

Abstract

aimsDiagnosis of inclusion body myositis (IBM) is difficult and currently based on a combination of clinical and (immuno)histological findings. Biomarkers facilitating the diagnostic process are needed. Alpha-synuclein (αSN) aggregates are a known histological feature of IBM, but there is a lack of information on their diagnostic relevance. Furthermore, serum αSN concentrations in IBM have not been investigated.

methodsImmunohistochemical staining for αSN was performed on 63 biopsies (19 IBM, 21 other inflammatory myopathies, 20 other myopathies and 3 healthy controls), and αSN reactive fibres were quantified. The serum concentration of αSN was determined by ELISA in 156 serum samples (11 IBM, 25 other inflammatory myopathies, 53 hereditary myopathies, 30 mitochondriopathies and 37 healthy controls).

resultsThe proportion of fibres with αSN immunoreactivity was significantly higher in IBM compared to all groups (p < 0.001) and discriminated IBM against all other neuromuscular disorders with a sensitivity of 79% and a specificity of 85%, which further improved when only non-regenerating fibres were examined. In serum, αSN concentrations in IBM were generally not different from healthy controls. However, serum concentrations were inversely correlated with disease duration (r = -0.62, p = 0.04) and positively correlated with the IBM functional rating scale (r = 0.74, p = 0.01). Consequently, stratification according to these clinical parameters showed significantly lower serum αSN concentrations in late-stage, more severely affected patients.

conclusionsαSN reactivity may serve as an additional immunohistochemical marker for IBM diagnosis. Furthermore, this study indicates that αSN serum concentrations decrease with disease duration and clinical deterioration. Therefore, serum αSN may be provisionally considered a monitoring biomarker in IBM, pending further studies.

Indexed as

alpha-SynucleinMuscle, SkeletalMyositis, Inclusion BodyAdultAgedAged, 80 and overBiomarkersFemaleHumansMaleMiddle Agedalpha-SynucleinBiomarkersbiomarkerIBMinclusion bodymyositisα‐synuclein

Identifiers

PMID40384347
PMCPMC12086613

What Socratic holds

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LicenceCC BY
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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.