Abstract
Since the establishment of the network for pancreatic organ donors with diabetes (nPOD), we have gained unprecedented insight into the pathology of human type 1 diabetes. Many of the pre-existing “dogmas”, mostly derived from studies of animal models and sometimes limited human samples, have to be revised now. For example, we have learned that autoreactive CD8 T cells are present even in healthy individuals within the exocrine pancreas. Furthermore, their “attraction” to islets probably relies on beta-cell intrinsic events, such as the over-expression of MHC class I and resulting presentation of autoantigens such as (prepro)insulin. In addition, we are discovering other signs of beta-cell dysfunction, possibly at least in part due to stress, such as the over-expression of certain cytokines. This review summarizes the latest developments focusing on cytokines and autoreactive CD8 T cells in human type 1 diabetes pathogenesis.
Highlights
Type 1 diabetes (T1D) is a T cell-mediated autoimmune disease in which the pancreatic insulinsecreting beta cells are selectively destroyed
The enrichment of autoreactive CD8 T cells near the islets suggests that they become attracted to their key antigen in insulin-containing islets during disease development [15], possibly due to the upregulation of MHC class I [30] and accumulation of target autoantigen [35]
We discussed the evidence that autoreactive CD8 T cells are an integral and large part of the pancreatic leukocyte population in healthy individuals and can be detected in large numbers in donors with T1D (Figure 1)
Summary
Type 1 diabetes (T1D) is a T cell-mediated autoimmune disease in which the pancreatic insulinsecreting beta cells are selectively destroyed. The fact that the autoreactive T cells are present in the pancreata of healthy donors [15] suggests a possibility of a triggering event in beta cells, which leads to the recruitment of these cells to the islets in T1D. Researchers studied T cell responses against islet and beta-cell antigens in peripheral blood to find signatures that differentiate between T1D patients and healthy individuals.
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