Evidence map›Paper›PMID 40632596›Full record

ArticleRheumatology (Oxford, England)2025

Shared molecular profiles of anti-PL12 autoantibodies in anti-synthetase syndrome.

Syed B Ali, Alexander Troelnikov, Bridie Amour, Lauren Hender, Dimitra Beroukas, Tim Chataway, Vidya Limaye, Tom P Gordon, Jing Jing Wang

Abstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2025. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Syed B AliDepartment of Clinical Immunology and Allergy, Flinders Medical Centre, Bedford Park, SA, Australia.ORCID 0000-0002-4103-6953
Alexander TroelnikovCollege of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia.
Bridie AmourCollege of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia.
Lauren HenderDepartment of Immunology, SA Pathology-Flinders Medical Centre, Bedford Park, SA, Australia.
Dimitra BeroukasCollege of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia.
Tim ChatawayFlinders Proteomics Facility, College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia.ORCID 0000-0003-0254-8099
Vidya LimayeDepartment of Rheumatology, Royal Adelaide Hospital, Adelaide, SA, Australia.
Tom P GordonCollege of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia.
Jing Jing WangCollege of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAnti-PL12 autoantibodies are targeted against alanyl-tRNA synthetase, a cytosolic enzyme which plays a vital role in protein synthesis. Clinically, such antibodies are strongly associated with interstitial lung disease and confer a poor prognosis. To better understand their molecular composition, anti-PL12 immunoglobulin variable region subfamily expression and their mutational signatures were analysed by mass spectrometry (MS)-based proteomics to provide insights into personalized molecular diagnosis.

methodsPatients with anti-PL12 autoantibodies were identified from routine myositis immunoblots. Serum anti-PL12 IgG autoantibodies were then purified from specific anti-PL12 precipitins using conventional counter-immunoelectrophoresis. Immunoglobulin (Ig) heavy and light-chains were separated by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE), digested by enzymes and profiled by MS sequencing for immunoglobulin variable region (IgV) subfamily usage and somatic hypermutation analysis.

resultsTen patients were identified; seven females and three males with an average age of 65 years. All had lung disease, while two had concurrent myositis. MS sequencing of precipitating anti-PL12 IgGs revealed an oligoclonal repertoire with shared expression of IGHV3-23-encoded heavy chain and IGKV3-20- and IGKV1-27-encoded light chains. Furthermore, shared IgV somatic hypermutations were observed across unrelated patients in both heavy and light chain, in regions likely to be antigen interacting.

conclusionAnti-PL12 autoantibodies among different patients show highly convergent sequences and variable region composition. The inter-individual similarity reveals the evolutionary process towards specific, presumably immuno-dominant, epitopes on PL12 during antigen-driven clonal selection. These unique anti-PL12 autoantibody molecular signatures have the potential to be valuable biomarkers when compared with the simple readout of conventional immunoassays.

Indexed as

Alanine-tRNA LigaseAutoantibodiesLung Diseases, InterstitialMyositisAgedFemaleHumansImmunoglobulin GMaleMass SpectrometryMiddle AgedProteomicsAlanine-tRNA LigaseAutoantibodiesImmunoglobulin Ganti-synthetase antibodyimmunoglobulin subfamilyinterstitial lung diseasePL12 antibodyproteomicssomatic hypermutation

Identifiers

PMID40632596
PMCPMC12671879

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