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

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 naive, central memory, effector memory and terminally differentiated effector (TEMRA), Th17 and Tregs) and B cells subsets (naive, 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 naive 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.

Automated summary

Flow cytometry analysis of lymphocyte subpopulations in adult T1D patients at disease onset and 2 years follow-up reveals changes supporting the migration of effector cells to the pancreas and the persistence of autoimmune process throughout the disease. Multiparametric flow cytometry allows identification of potential biomarkers for T1D.