Juvenile Diabetes Research Foundation (JDRF)
In January 2010, the JDRF announced a non-exclusive partnership with Animas Corporation to develop an automated, partially Closed-Loop System to help control blood sugars, the first step toward a fully automated artificial pancreas.
The system will integrate an insulin pump from Animas, a Johnson & Johnson company, with technology from DexCom, a leading manufacturer of continuous glucose monitors, said Aaron Kowalski, Ph.D., Assistant Vice President of Glucose Control at JDRF and Research Director of the JDRF. This system is called a partial Closed-Loop System because the diabetic still has to determine the correct dose of insulin to administer and take into consideration such things as exercise, food, and stress.
However, "in times of impending low blood sugar or high blood sugar, the system (through its software algorithm) will have the ability to automatically intervene. We call this a 'treat to range' approach, meaning that the system is trying to minimize exposure to glucose levels above and below a certain number. The range is probably going to be below 70 mg/dl on the low end, and around 180 mg/dl on the high end," said Kowalski.
"The goal would be for the system to automatically bring you back within the target. The reason we're taking this approach now is that we want the system to be as safe as possible...a very clinically important step. The systems use complex algorithms that are much, much more sophisticated than what is in our continuous glucometers now, and they are able to say with far better accuracy when you're going to be low or high," continues Kowalski.
The JDRF and leading clinical organizations such as the American Association of Clinical Endocrinologists, American Association of Diabetes Educators, American Diabetes Association, and the Endocrine Society have been lobbying the FDA to obtain written guidance for the approval of an artificial pancreas and in December 2011, the FDA released draft guidance on the artificial pancreas. For updates on the progress of the artificial pancreas project, click here.
"The key component of the artificial pancreas is the control algorithm, which directs insulin delivery according to glucose levels while accounting for inherent measurement errors and kinetic delays. Various algorithms have been developed, but two main categories are the most relevant: the proportional-integral-derivative control (PID) and the model-predictive control (MPC)," are according to a review article on Closed Loop Systems in BMC Medicine.
"PID algorithms adjust insulin delivery by considering deviations from a target glucose level (proportional component), the area under the curve between the measured and the target glucose level (integral component), and the rate of change in the measured glucose levels (derivative component)."
"MPC algorithms, by contrast, employ a mathematical model of human glucose regulation to link insulin delivery and glucose excursions as described in numerous theoretical, animal, and computer-simulation studies. Insulin delivery is calculated by minimizing the difference between forecast glucose concentrations and the target glucose levels over a prediction window of 1.5 to 3 hours, or longer."
Mayo Clinic, Rochester Minnesota
In continuing to pursue the Closed Loop System, Mayo Clinic researchers Yogish C. Kudva, M.B.B.S., an endocrinologist and lead researcher along with Dr. Ananda Basu, are also developing a Closed Loop System with the goal of personalized medicine in mind.
"There is tremendous variability in blood sugar levels day to day in a person with type 1 diabetes. This is why type 1 diabetes is notoriously difficult to manage," Dr. Basu says. He notes that within a single day, the blood sugar level of a person with type 1 diabetes can swing from 30 to 300 milligrams per deciliter (the normal range is 70 to 100 mg/dL). "This has a huge impact on patients' quality of life."
The complexity of developing a medical device is an immense challenge that took many years of research by Mayo scientists. Their research revealed that the physiology of metabolism is very important and needs to be factored into the artificial pancreas software algorithm.
One critical set of variables, "Physical activity plays an important role in insulin action," explains James A. Levine, M.D., Ph.D., a Mayo endocrinologist. "Insulin dosing must be adjusted based on the amount of physical activity a patient does."
Dr. Levine leads a laboratory team whose work involves gauging people's total daily activity - not just calories burned at the gym, but every fidget and sedentary moment. "We've worked hard over many years to develop a series of technologies to measure very precisely how active or chair-ridden an individual has been," Dr. Levine said.
The Mayo clinical trials, unlike other studies of insulin-delivery systems that use computer simulations to predict insulin needs will use real data from type 1 diabetics thus making each algorithmic program personalized to each patient, the goal of personalized medicine.
In the first phase, type 1 diabetics will spend 40 hours in Mayo's Clinical Research Unit in a controlled monitored environment where participants will be given precisely measured meals and regulated exercise on a treadmill. Participants will use the conventional methods to measure blood sugar and in consultation with Mayo physicians to determine the insulin dosage. Metabolic data from each study participant will be collected and fed into the artificial pancreas algorithm program.
A few weeks later in Phase II, participants return to the research unit and follow the same meal and exercise routine, but with an artificial pancreas programmed with his or her unique metabolic information. "We will see how well this personalized closed-loop system controls blood sugar levels compared to the first visit," Dr. Basu says. He and Dr. Kudva hope to progress to an outpatient trial in 2014.
Closing Thoughts
The Mayo Clinic's approach in tailoring the Closed Loop System to each individual patient is the ultimate goal for personalized medicine. However, because insulin metabolism is affected by the slightest change to a daily routine that includes exercise, stress, and meals, an algorithm is needed to respond instantaneous to these changes or anticipate these changes for a Closed Loop System to be truly self-sufficient.
There has been a lot of research done in diabetes, both in the pharma/biotech world for drugs and the medical device world in developing a Closed Loop System. Both drugs and devices have faced major challenges. Researchers are not willing to hazard a guess as to when a viable Closed Loop System will reach the market, but a few are predicting within the next 5 - 10 years.
On the plus side, the new business model for our industry is collaboration. Collaboration between academic and clinical institutions, device companies, software companies, clinical organizations, and advocate organizations have the potential to speed up the development of an ideal Closed Loop System. There are many institutions and device companies besides the ones mentioned above all working on the same goal. If we all work together, we may be able to reach the goal within 5 - 10 years.
Top
|