Autoreactive T cells identified in patients with anti-Jo1+ antisynthetase syndrome recognise a new epitope on histidyl t-RNA synthetase
Bibliographic record
Abstract
Objectives Anti-Jo1+ antisynthetase syndrome (ASyS) is characterised by autoantibodies targeting histidyl t-RNA synthetase (HisRS), association with HLA-DRB1*03:01 and a distinct clinical phenotype including interstitial lung disease, myositis, arthritis, and mechanic's hands. Previous studies of autoreactive HisRS-specific CD4 + T cells point to yet undiscovered T cell epitopes. We aimed to identify new epitopes on HisRS to investigate the presence of autoreactive T cells and their corresponding T-cell receptor (TCR) repertoire from patients with ASyS. Methods Peptides from HisRS N-terminal region with appropriate major histocompatibility complex (MHC) anchor residues were selected for in vitro binding assays. The peptide (HisRS 41-55 ) with the highest HLA-DRB1*03:01 binding affinity was selected for studies with HLA-class II tetramers. Peripheral blood mononuclear cells (PBMCs) from patients with ASyS with HLA-DRB1*03:01 (n = 12) were stimulated in vitro with peptide and peptide-HLA-DRB1*03:01 tetramers were used to detect HisRS + CD4 + T cells. Single TCR sequencing of captured T cells allowed analyses of the underlying TCR repertoire. Results We identified a new T cell epitope on HisRS with high affinity for HLA-DRB1*03:01. Autoreactive HisRS + CD4 + T cells were detected in PBMCs of patients (n = 6/12). TCR repertoire analysis of HisRS + CD4 + T cells revealed shared gene V-alpha and beta usages. Moreover, HisRS + CD4 + T cells persisted after treatment in 2 patients (P2 and P4) and 2 identical T cell clones were detected between the initial and follow-up time points in 1 patient (P2). Conclusions Autoreactive T-cells targeting a new HisRS epitope were identified indicating T cell reactivity to diverse epitopes of the HisRS protein in patients with anti-Jo1 autoantibodies. Furthermore, we demonstrated the TCR repertoire of autoreactive HisRS+CD4+T cells in patients. Persistence of these T-cells and specific clones may be contributing to disease.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".