4.8 Review

Using the T Cell Receptor as a Biomarker in Type 1 Diabetes

Journal

FRONTIERS IN IMMUNOLOGY
Volume 12, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fimmu.2021.777788

Keywords

T cells; TCR sequencing; autoimmunity; type 1 diabetes; HLA; MHC

Categories

Funding

  1. National Institutes of Diabetes and Digestive and Kidney Diseases [R01DK099317, R01DK032083, R01DK108868, DP3DK110845, P30DK116073]
  2. Juvenile Diabetes Research Foundation [2018-480-S-B, 2020-911-A-N, 2018-557-Q-R]
  3. Leona M. & Harry B. Helmsley Charitable Trust [2103-05093]
  4. Culshaw Family Junior Investigator Award

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TCRs serve as unique markers that define antigen specificity for T cells, making them prime candidates for next-generation T cell biomarkers. Developing TCR biomarkers for T1D could potentially provide powerful tools for assessing disease activity and treatment development in diabetes.
T cell receptors (TCRs) are unique markers that define antigen specificity for a given T cell. With the evolution of sequencing and computational analysis technologies, TCRs are now prime candidates for the development of next-generation non-cell based T cell biomarkers, which provide a surrogate measure to assess the presence of antigen-specific T cells. Type 1 diabetes (T1D), the immune-mediated form of diabetes, is a prototypical organ specific autoimmune disease in which T cells play a pivotal role in targeting pancreatic insulin-producing beta cells. While the disease is now predictable by measuring autoantibodies in the peripheral blood directed to beta cell proteins, there is an urgent need to develop T cell markers that recapitulate T cell activity in the pancreas and can be a measure of disease activity. This review focuses on the potential and challenges of developing TCR biomarkers for T1D. We summarize current knowledge about TCR repertoires and clonotypes specific for T1D and discuss challenges that are unique for autoimmune diabetes. Ultimately, the integration of large TCR datasets produced from individuals with and without T1D along with computational 'big data' analysis will facilitate the development of TCRs as potentially powerful biomarkers in the development of T1D.

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