The objective of this Fast-Track program is to develop a novel, stable non-aqueous glucagon formulation with an infusion pump system in closed-loop with continuous glucose monitoring, for treatment of post-bariatric surgery patients who have experienced repetitive severe postprandial hypoglycemia. This approach will provide: (a) automated or semi-automated glucagon; (b) personalized dosing that will not trigger hyperglycemia; and (c) provide a more economical treatment strategy. In this patient population, eating to correct hypoglycemia can actually trigger another subsequent hypoglycemic event, whereas glucagon acts to increase blood glucose levels without triggering excess insulin secretion. Thus there is an urgent need for improved approaches for the treatment of severe hypoglycemia to maintain health, allow optimal nutrition, and improve safety in patients with post-bariatric hypoglycemia (PBH) syndrome. The primary objective of the current proposal is directly relevant to the NIDDK research priorities for obesity treatment and prevention, as well as type 2 diabetes treatment. The Phase I effort of this project will develop algorithms using CGM information to trigger real-time alerts in the presence of hypoglycemia using an automated trigger algorithm that will deploy and deliver a dose of soluble glucagon from a pump, and test this proof-of-concept (POC) in a clinical setting. The Phase II effort of this program will take th optimized algorithm from Phase I into a closed-loop pump system for use in a randomized, blinded, placebo-controlled clinical trial. The data generated in the project may also enable future outpatient studies in which patients can test the system in real-life situations. We propose that the resulting closed-loop glucagon (CLG) system with Xeris' glucagon in an OmniPod(r) will be a more effective treatment for PBH syndrome.

Public Health Relevance

The objective of this Fast-Track program is to further the development of a novel, stable non-aqueous glucagon formulation with an infusion pump system in closed-loop with continuous glucose monitoring, for treatment of post-bariatric surgery patients who are at high risk for postprandial hypoglycemia.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
1R44DK107114-01
Application #
8980271
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Arreaza-Rubin, Guillermo
Project Start
2015-07-01
Project End
2016-06-30
Budget Start
2015-07-01
Budget End
2016-06-30
Support Year
1
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Xeris Pharmaceuticals, Inc.
Department
Type
DUNS #
609377135
City
Austin
State
TX
Country
United States
Zip Code
78705
Laguna Sanz, Alejandro J; Mulla, Christopher M; Fowler, Kristen M et al. (2018) Design and Clinical Evaluation of a Novel Low-Glucose Prediction Algorithm with Mini-Dose Stable Glucagon Delivery in Post-Bariatric Hypoglycemia. Diabetes Technol Ther 20:127-139
Mulla, Christopher M; Middelbeek, Roeland J W; Patti, Mary-Elizabeth (2018) Mechanisms of weight loss and improved metabolism following bariatric surgery. Ann N Y Acad Sci 1411:53-64
Patti, Mary-Elizabeth; Goldfine, Allison B; Hu, Jiang et al. (2017) Heterogeneity of proliferative markers in pancreatic ?-cells of patients with severe hypoglycemia following Roux-en-Y gastric bypass. Acta Diabetol 54:737-747
Suhl, Emmy; Anderson-Haynes, Sue-Ellen; Mulla, Christopher et al. (2017) Medical nutrition therapy for post-bariatric hypoglycemia: practical insights. Surg Obes Relat Dis 13:888-896