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CWD Friends For Life 7 July 2011 Update on the Closed-Loop Artificial Pancreas Project CWD Friends For Life 7 July 2011 Update on the Closed-Loop Artificial Pancreas Project Stuart A Weinzimer, MD Associate Professor of Pediatrics Yale University School of Medicine

Rationale for a Closed-Loop System • Present methods of diabetes treatment improve, but don’t Rationale for a Closed-Loop System • Present methods of diabetes treatment improve, but don’t normalize, blood glucose levels, even with CGM • Burden of care extremely high • CL would advance our ability to control BG levels while at the same time REDUCE burden on user

JDRF- and NIH-funded Closed-Loop Control AP Research JDRF funding Benaroya W. Ontario Oregon Stanford JDRF- and NIH-funded Closed-Loop Control AP Research JDRF funding Benaroya W. Ontario Oregon Stanford JDRF & NIH funding Boston Yale Mayo Rensselaer UCSD Virginia Colorado UCSB/Sansum NIH funding Cambridge W. Australia Montpellier Pavia/Padova Jaeb Center Israel

Potential Pathway to an Artificial Pancreas Potential Pathway to an Artificial Pancreas

Medtronic e. PID closed-loop system • Paradigm 715 insulin pump • MMT sensor adapted Medtronic e. PID closed-loop system • Paradigm 715 insulin pump • MMT sensor adapted for one-minute transmission • Laptop computer with software program and algorithm

PID algorithm components • Proportional – to the glucose level • Integral – slowly PID algorithm components • Proportional – to the glucose level • Integral – slowly adaptive to normalize glucose • Derivative – rate-of-change of the glucose Steil GM, et al. Diabetes Technol Ther. 2003; 5: 953 -64.

Late post-prandial hypoglycemia in CL Late post-prandial hypoglycemia in CL

Hybrid control improves performance Glucose (mg/dl) 300 setpoint Closed Loop (N=8) meals Hybrid CL Hybrid control improves performance Glucose (mg/dl) 300 setpoint Closed Loop (N=8) meals Hybrid CL (N=9) 200 100 0 6 A Noon 6 P Mid. N 6 A Noon Mean Full CL Hybrid Daytime Peak PP 147 58 138 49 154 60 143 50 219 54 196 52 Weinzimer SA. Diabetes Care 2008; 31: 934 -939. 6 P

Conclusions of study • CL control feasible in youth with T 1 D • Conclusions of study • CL control feasible in youth with T 1 D • Manual insulin “priming bolus” improved meal excursions • Tendency to late post-prandial hypoglycemia • Limitations – No OL control – Subjects were sedentary

Effect of daytime exercise on risk of subsequent nocturnal hypoglycemia 60 48 % Subjects Effect of daytime exercise on risk of subsequent nocturnal hypoglycemia 60 48 % Subjects (%) 50 40 28 % 30 20 10 0 Sedentary Exercise - Direc. Net, J Pediatr 2005; Direc. Net, Pediatr Diabetes 2007

Study objective • To evaluate whether use of a CL system reduces the risk Study objective • To evaluate whether use of a CL system reduces the risk of delayed (nocturnal) hypoglycemia following antecedent daytime exercise

Study Protocol • 12 subjects admitted to Inpatient HRU on two separate occasions: routine Study Protocol • 12 subjects admitted to Inpatient HRU on two separate occasions: routine pump therapy (OL) or sensor-driven pump therapy (CL) • Two 24 -h evaluation periods: 8 AM d#2 - 8 AM d#4 • Meals in both conditions are provided at 8 AM, noon, and 5 PM. Subjects consume identical meals under both conditions. • Manual pre-meal bolus given (0. 05 units/kg) • Hypoglycemia 60 mg/d. L (3. 3 mmol)

Exercise Protocol • One 1 of the 2 study days • Treadmill walking to Exercise Protocol • One 1 of the 2 study days • Treadmill walking to target HR for 15 min x 4, followed by 5 min rest • Supplemental CHO to give boost starting BG>120 mg/d. L (6. 7 mmol)

Glucose Histogram – Night after sedentary 2% 97 % 1% 5% 86 % 9% Glucose Histogram – Night after sedentary 2% 97 % 1% 5% 86 % 9% p=0. 02

Glucose Histogram – Night after Exercise 6% 90 % 4% 11 % 72 % Glucose Histogram – Night after Exercise 6% 90 % 4% 11 % 72 % 17 % p=0. 003

Nocturnal Hypoglycemia Number of Treatments Given 25 All Nocturnal Hypo 22 Night Following Exercise Nocturnal Hypoglycemia Number of Treatments Given 25 All Nocturnal Hypo 22 Night Following Exercise 20 14 15 Closed Loop Open Loop 10 5 3 1 0 p=0. 05 p=0. 06

Summary and Conclusions • CL control was associated with: – Greater time within target Summary and Conclusions • CL control was associated with: – Greater time within target range at night compared to OL for both sedentary and exercise days – Fewer episodes of frank hypoglycemia • Use of a CL, even if only at night, may be effective in reducing hypoglycemia • Prandial glycemic excursions still undesirable

Next study questions • Can the addition of pramlintide improve the performance of a Next study questions • Can the addition of pramlintide improve the performance of a CL system by reducing the peak post-prandial glucose excursions?

Pramlintide • Analog of human amylin • Co-secreted with insulin from -cell • Used Pramlintide • Analog of human amylin • Co-secreted with insulin from -cell • Used as adjunct to insulin in T 1 D to reduce postprandial glycemic excursions – Delay gastric emptying – Suppress endogenous glucagon

Study Protocol • 8 subjects admitted to Inpatient HRU for CL control • Two Study Protocol • 8 subjects admitted to Inpatient HRU for CL control • Two 24 -h evaluation periods: 8 AM d#2 - 8 AM d#4 • Meals provided at 8 AM, 1 PM, and 6 PM. Subjects consume identical meals under both conditions. • Pramlintide 30 mcg given prior to each meal on one study day • Hypoglycemia 60 mg/d. L (3. 3 mmol)

Glucose excursions with/without pramlintide Glucose excursions with/without pramlintide

Pramlintide reduced peak post-prandial BG BG excursion (mg/dl) 150 * Pramlintide Control 100 50 Pramlintide reduced peak post-prandial BG BG excursion (mg/dl) 150 * Pramlintide Control 100 50 0 Breakfast Lunch Dinner *p=0. 03

Adverse Effects Hypoglycemia • No BG < 60 (3. 3) • <70 (3. 9) Adverse Effects Hypoglycemia • No BG < 60 (3. 3) • <70 (3. 9) Pramlintide (2%) Control (1%) Gastrointestinal None !

Summary and conclusions • Pramlintide had modest effect on prandial glucose • Would require Summary and conclusions • Pramlintide had modest effect on prandial glucose • Would require manual injection or at best, manual bolus • Faster insulin absorption / action clearly needed

Next Steps • Evaluation of other incretins • Strategies to accelerate insulin absorption / Next Steps • Evaluation of other incretins • Strategies to accelerate insulin absorption / action

Insu. Patch infusion site warming device • Heating element that adheres to an insulin Insu. Patch infusion site warming device • Heating element that adheres to an insulin pump catheter site • Warms skin to 38 -39°C • Activated manually or automatically with insulin bolus • Putative accelerates insulin absorption through increased local blood flow

Effect of Insu. Patch on Insulin Action 8. 0 (n=8) No Insu. Patch 2. Effect of Insu. Patch on Insulin Action 8. 0 (n=8) No Insu. Patch 2. 4 ± 1 3. 7 ± 2 Tmax GIR (min) 133 ± 27 84 ± 18 T early 50% (min) 66 ± 16 41 ± 15 AUC GIR 0 -90 min 226 ± 100 343 ± 141 GIR 0 -90 min 6. 0 GIR (mg/kg/min) With Insu. Patch 4. 0 2. 0 0. 0 No Insu. Patch With Insu. Patch 0 60 120 180 Time (min) Cengiz, DTS Meeting 2010 240 300

Effect of Insu. Patch on meals (n=9) Cengiz, unpublished Effect of Insu. Patch on meals (n=9) Cengiz, unpublished

Other approaches to AP • “Control to Range” – OL when BGs within target Other approaches to AP • “Control to Range” – OL when BGs within target – Automatic pump suspension for actual or predicted hypoglycemia – Pump augmentation for hyperglycemia

Automatic pump suspension for predicted hypoglycemia Automatic pump suspension for predicted hypoglycemia

The take-home message • Pumps and sensors are becoming increasingly integrated and automated, but The take-home message • Pumps and sensors are becoming increasingly integrated and automated, but self-care burden is still high • Full CL delivery is possible with current technologies but will likely require manual interfaces to completely optimize BG control • Dual hormonal control will improve performance of CL systems but will additional regulatory complexity • Path to a true product will be iterative

Thank you! • Yale Closed Loop Team – – – – – Stu Weinzimer Thank you! • Yale Closed Loop Team – – – – – Stu Weinzimer Jennifer Sherr Eda Cengiz William Tamborlane Grace Kim Lori Carria Amy Steffen Kate Weyman Melinda Zgorski