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Related Experiment Video

Updated: Jul 7, 2025

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An Interpretable Classification Model Using Gluten-Specific TCR Sequences Shows Diagnostic Potential in Coeliac

Anna Fowler1, Michael FitzPatrick2, Aberami Shanmugarasa3

  • 1Department of Health Data Science, Institute of Population Health, University of Liverpool, Liverpool L69 3GF, UK.

Biomolecules
|December 23, 2023
PubMed
Summary

Coeliac disease (CeD) diagnosis may be improved by identifying gluten-specific T-cell receptors (TCRs). This approach shows promise for an objective test, even for patients on a gluten-free diet.

Keywords:
T-cell repertoirecoeliac diseasegluten-free dietmachine learningnext generation sequencing

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Area of Science:

  • Immunology
  • Gastroenterology
  • Computational Biology

Background:

  • Coeliac disease (CeD) is a significant global health issue, often underdiagnosed due to limitations in current diagnostic methods.
  • The gold standard for CeD diagnosis involves invasive endoscopic biopsies and gluten challenges, which are patient-unfriendly and subject to diagnostic variability.
  • There is a critical need for a more objective, less invasive, and accurate diagnostic test for CeD.

Approach:

  • This study reviewed existing gluten-specific T-cell receptor (TCR) sequences.
  • An interpretable machine learning model was developed and trained using TCR repertoire data from CD4+ T cells of CeD patients and controls.
  • The model's diagnostic potential was validated on an independent dataset, including patients on a gluten-free diet (GFD).

Key Points:

  • The developed machine learning model achieved 100% accuracy in training and 80% accuracy in testing for CeD diagnosis.
  • The model demonstrated diagnostic capability even in patients adhering to a gluten-free diet.
  • Twenty specific CD4+ TCR sequences with high diagnostic potential for CeD were identified.

Conclusions:

  • Identifying gluten-specific TCRs offers a promising avenue for a less subjective and more accessible CeD diagnostic test.
  • This novel approach could potentially eliminate the need for gluten challenges in CeD diagnosis.
  • The identified TCR sequences may form the basis of a new objective diagnostic tool for coeliac disease.