aceNaïve adaptive immune receptor repertoires in celiac disease assessed by machine learning; impact of the HLA-DQ2.5 allotype on the TCR repertoire
The adaptive immune receptor repertoire (AIRR) - the collection of an individual's B-cell and T-cell receptors (BCRs and TCRs, respectively) - encodes cumulative immune history and is shaped by both germline genetics and environmental exposures. Skewed repertoires have been linked to infections, vaccination responses and autoimmune diseases such as celiac disease (CeD) where biased usage of immunoglobulin and T-cell receptor genes reactive to disease relevant antigens has been reported. Motivated by evidence tha…
Naive CD4+ TCR repertoire features enabled moderate machine-learning classification of celiac disease status and high-accuracy prediction of HLA-DQ2.5 status by publication date.
After accounting for HLA-DQ2.5 enrichment, machine-learning classification of celiac disease from naive TCR repertoires was abolished, and naive BCR repertoires failed to classify disease.
TCR-based celiac classification was confounded by germline HLA variation, limiting direct disease signal from naive repertoires.
Evidence
- Peer-reviewedImmunogenetics2026-08-27
How should this claim be treated?
Truvace Impact Record TRV-2026-0912, v1: “Naïve adaptive immune receptor repertoires in celiac disease assessed by machine learning; impact of the HLA-DQ2.5 allotype on the TCR repertoire.” Truvace, 2026-08-28. /record/TRV-2026-0912 (accessed at citation time). sha256 6e815b0bfa1b80b1…
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