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Little is known about the specific cells, mediators and mechanisms involved in the loss of glucose sensor function (GSF) in vivo. Since mast cells (MC) are known to be key effector cells in inflammation and wound healing, we hypothesized that MC and their products are major contributors to the skin inflammation and wound healing that controls GSF at sites of sensor implantation. To test this hypothesis we utilized a murine model of continuous glucose monitoring (CGM) in vivo in both normal C57BL/6 mice (mast cell sufficient), as well as mast cell deficient B6.Cg-Kit W-sh / HNihrJaeBsmJ (Sash) mice over a 28 day CGM period. As expected, both strains of mice displayed excellent CGM for the first 7 days post sensor implantation (PSI). CGM in the mast cell sufficient C57BL/6 mice was erratic over the remaining 21 days PSI. CGM in the mast cell deficient Sash mice displayed excellent sensor function for the entire 28 day of CGM. Histopathologic evaluation of implantation sites demonstrated that tissue reactions in Sash mice were dramatically less compared to the reactions in normal C57BL/6 mice. Additionally, mast cells were also seen to be consistently associated with the margins of sensor tissue reactions in normal C57BL/6 mice. Finally, direct injection of bone marrow derived mast cells at sites of sensor implantation induced an acute and dramatic loss of sensor function in both C57BL/6 and Sash mice. These results demonstrate the key role of mast cells in controlling glucose sensor function in vivo.

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It is well established that the key to minimizing diabetes-associated complications, in both type 1 and type 2 diabetes, is tight regulation of blood glucose levels. Currently the major approach to regulating blood glucose levels in patients with diabetes relies on external blood glucose monitors. However, poor patient compliance usually results in limited insights into the dynamic range of blood glucose levels (i.e., hyperglycemia vs. hypoglycemia), and inadequate prediction and control of blood glucose levels in these patients. Implantable glucose sensors hold promise for controlling blood glucose levels, but currently these sensors have only limited in vivo life span. Recently we have developed an extremely robust murine model for implantable glucose sensors. In the present study, we have extended this model by developing a complete system for real-time continuous glucose monitoring in normal mice and mice with prediabetes and diabetes (type 1). These studies demonstrated that (1) glucose sensors can be implanted and maintained subcutaneously in the mice; (2) continuous glucose sensor data can be obtained for at least 5 days; and (3) subcutaneous blood glucose sensing paralleled blood glucose levels in normal mice and mice with prediabetes and diabetes. Subcutaneous blood glucose sensing also successfully tracked changes in blood glucose levels induced in the mice with diabetes by administration of oral glucose or insulin. These results mirror the results for subcutaneous blood glucose sensing seen in both normal subjects and patients with diabetes, and therefore validate both our continuous glucose monitoring system in the mouse, and the use of the mouse as a model for implantable glucose sensing in vivo.