Frontiers in Immunology (Dec 2021)

Identifying Changes in Peripheral Lymphocyte Subpopulations in Adult Onset Type 1 Diabetes

  • Aina Teniente-Serra,
  • Aina Teniente-Serra,
  • Eduarda Pizarro,
  • Bibiana Quirant-Sánchez,
  • Bibiana Quirant-Sánchez,
  • Marco A. Fernández,
  • Marta Vives-Pi,
  • Marta Vives-Pi,
  • Eva M. Martinez-Caceres,
  • Eva M. Martinez-Caceres

DOI
https://doi.org/10.3389/fimmu.2021.784110
Journal volume & issue
Vol. 12

Abstract

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T- and B-lymphocytes play an important role in the pathogenesis of type 1 diabetes (T1D), a chronic disease caused by the autoimmune destruction of the insulin-producing cells in the pancreatic islets. Flow cytometry allows their characterization in peripheral blood, letting to investigate changes in cellular subpopulations that can provide insights in T1D pathophysiology. With this purpose, CD4+ and CD8+ T cells (including naïve, central memory, effector memory and terminally differentiated effector (TEMRA), Th17 and Tregs) and B cells subsets (naïve, unswitched memory, switched memory and transitional B cells) were analysed in peripheral blood of adult T1D patients at disease onset and after ≥2 years using multiparametric flow cytometry. Here we report changes in the percentage of early and late effector memory CD4+ and CD8+ T cells as well as of naïve subsets, regulatory T cells and transitional B cells in peripheral blood of adult patients at onset of T1D when compared with HD. After 2 years follow-up these changes were maintained. Also, we found a decrease in percentage of Th17 and numbers of T cells with baseline. In order to identify potential biomarkers of disease, ROC curves were performed being late EM CD4 T cell subset the most promising candidate. In conclusion, the observed changes in the percentage and/or absolute number of lymphocyte subpopulations of adult T1D patients support the hypothesis that effector cells migrate to the pancreas and this autoimmune process perseveres along the disease. Moreover, multiparametric flow allows to identify those subsets with potential to be considered biomarkers of disease.

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