Evidence map›Paper›PMID 42865707›Full record

ArticleFrontiers in immunology2026

Interlaboratory comparison of immunoprecipitation-based testing for myositis-specific autoantibodies.

Kimberly Loh, Georgina R Harvey, Xavier Bossuyt, Anna Brusch, Chris Bundell, Mei Cheng, Masataka Kuwana, Hui Lu, Birthe Michiels, Johan Ronnelid and 4 more

Abstract readComparative Study
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Kimberly LohDepartment of Life Sciences, University of Bath, Bath, United Kingdom.
Georgina R HarveyDepartment of Life Sciences, University of Bath, Bath, United Kingdom.
Xavier BossuytDepartment of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium and Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.
Anna BruschDepartment of Clinical Immunology, PathWest Laboratory Medicine, Perth, WA, Australia.
Chris BundellDepartment of Clinical Immunology, PathWest Laboratory Medicine, Perth, WA, Australia.
Mei ChengArthritis & Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States.
Masataka KuwanaDepartment of Allergy and Rheumatology, Nippon Medical School Graduate School of Medicine, Tokyo, Japan.
Hui LuDepartment of Life Sciences, University of Bath, Bath, United Kingdom.
Birthe MichielsDepartment of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium and Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven, Belgium.
Johan RonnelidDepartment of Immunology, Genetics and Pathology, Uppsala Universitet, Uppsala, Sweden.
Ira N TargoffArthritis & Clinical Immunology Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States.
Akira YoshidaDepartment of Allergy and Rheumatology, Nippon Medical School Graduate School of Medicine, Tokyo, Japan.
Neil J McHughDepartment of Life Sciences, University of Bath, Bath, United Kingdom.
Sarah L TansleyDepartment of Life Sciences, University of Bath, Bath, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Myositis-specific autoantibodies (MSAs) are clinically important biomarkers that help classify idiopathic inflammatory myopathies and guide clinical management, but reliable detection remains challenging. Immunoprecipitation (IP) is widely regarded as a reference method for MSA detection in specialist laboratories. However, IP comprises a range of related techniques rather than a single standardised assay, and variability between expert laboratories using different IP-based workflows is not well characterised. Methods: Serum samples previously submitted to the Bath Diagnostic Serology Service were distributed to three collaborating reference laboratories. Centres analysed samples using their routine workflows, which included radiolabelled protein IP, RNA-IP, IP-western blotting, IP-mass spectrometry, and supplementary immunoassays. Results were interpreted within each laboratory's diagnostic framework, and interlaboratory concordance of MSA detection and specificity assignment was evaluated. Results: Thirty-two samples were included. Overall concordance across overlap groups ranged from 63-78%. Agreement varied by MSA specificity and methodological scope. Anti-Zo, anti-NXP2 and anti-TIF1γ demonstrated the highest reproducibility, whereas anti-PL-7, anti-Jo-1, anti-EJ, anti-Ha and anti-HMGCR were identified only by isolated laboratories. Differences were consistent with variation in IP method, including antigen source, detection modality and availability of reference sera. Complementary assays played an essential role in anti-MDA5, anti-HMGCR and anti-NXP2 antibody detection. Discussion: These findings demonstrate that IP-based testing should be considered a framework of expert diagnostic practice rather than a single uniform assay. Greater transparency in laboratory methods and reporting practices may improve interpretation of autoantibody results and support more consistent comparison of MSA results across clinical and research settings.

Indexed as

AutoantibodiesImmunoprecipitationMyositisBiomarkersHumansReproducibility of ResultsSensitivity and SpecificityAutoantibodiesBiomarkersautoantibodiesidiopathic inflammatory myopathiesimmunoprecipitationinterlaboratory variabilitymyositis

Identifiers

PMID42865707
PMCPMC13655129

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