Rayhan A. Lal, MD is an Instructor in the Divisions of Adult and Pediatric Endocrinology at Stanford University. As an electrical engineer and computer scientist with type 1 diabetes, his primary research interest is the design, development and testing of new diabetes technologies. This K23 proposal will provide a structured clinical research training experience with formal mentorship that will enable Dr. Lal to become an independent clinical researcher with expertise in automated insulin delivery. Subcutaneous ?hybrid? closed-loop systems modulate insulin delivery based on continuous glucose data but require users to announce meals. Despite promising randomized controlled trials, our published real-world experience with the first commercial subcutaneous system shows that 46% of users presenting to clinic entirely discontinue ?Auto Mode? within 1 year. While some barriers may be overcome, the optimal technological solution requires high user satisfaction and optimal glycemic control with minimal user intervention. In this application, Dr. Lal proposes several studies to understand and optimize the intraperitoneal delivery of insulin for a future autonomous implantable system. Intraperitoneal insulin delivery acts faster than subcutaneous. The ?tail? of insulin action is also shorter, making it easier to upregulate and downregulate insulin levels with fewer time delays which is essential for automated insulin delivery. Intraperitoneal insulin delivery also partially restores glucagon response to hypoglycemia and exercise, even in long-standing type 1 diabetes. The improved kinetics and safety from restored glucagon secretion make this system ideal for fully automated insulin delivery. There is also a significant positive experience among users of implanted intraperitoneal insulin therapy.
The specific aims of Dr. Lal?s study are to: (1) evaluate BMI, body composition, bone health and human factors associated with intraperitoneal insulin among worldwide users, centered in Montpellier, and compare them to matched controls with type 1 diabetes using subcutaneous insulin, (2) assess the speed and glucagon counter- regulatory response to intraperitoneal faster acting insulin apart (Fiasp), and (3) use the available data to perform in silico modeling and determine a control strategy that keeps glycemic control in range (70-180mg/dL) over a variety of simulated conditions. His mentors include Drs. Buckingham, Maahs, Hood and Renard worldwide leaders in diabetes technology. In addition to coursework in epidemiology, statistics, study design, human protection and ethics, Dr. Lal will also pursue a Biodesign faculty fellowship, offered at Stanford to promote the development of new health technology. Dr. Lal?s long-term research objective is to collaborate with a diabetes device manufacturer, PhysioLogic Devices (see letter of support from Peter Lord), to develop and test an implanted fully closed-loop intraperitoneal insulin delivery system, optimizing time in range and eliminating the daily burdens of diabetes.

Public Health Relevance

As of 2015, 30 million Americans (9.4% of the US population) had diabetes and it was the seventh leading cause of death based on 79,535 death certificates. Despite a $327 billion investment in diabetes care in 2017, 31% of those with diabetes have a hemoglobin A1c >9%, well above goal and greatly increasing the risk for diabetes related complications. Recent innovations in diabetes technology may finally allow implanted, fully autonomous, insulin delivery; the purpose of the present study is to evaluate the features of intraperitoneal insulin and its potential for future use in a full closed-loop implanted insulin delivery system.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Mentored Patient-Oriented Research Career Development Award (K23)
Project #
1K23DK122017-01A1
Application #
10054706
Study Section
Kidney, Urologic and Hematologic Diseases D Subcommittee (DDK)
Program Officer
Arreaza-Rubin, Guillermo
Project Start
2020-07-01
Project End
2025-04-30
Budget Start
2020-07-01
Budget End
2021-04-30
Support Year
1
Fiscal Year
2020
Total Cost
Indirect Cost
Name
Stanford University
Department
Pediatrics
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305