Zisser, Howard
https://orcid.org/0000-0002-8927-9671
Mayo Clinic
Independent Researcher, Santa Barbara, CA, USA
Citations 3
Early Stages of Automated Insulin Delivery
Zisser, Howard , Hovorka, Roman , Basu, Ananda , Battelino, Tadej , Boughton, Charlotte K. , Breton, Marc D. , Buckingham, Bruce A. , Brown, Sue A. , Cherñavvsky, Daniel R. , Dassau, Eyal , Ekhlaspour, Laya , Forlenza, Gregory P. , Haidar, Ahmad , Klonoff, David C. , Kovatchev, Boris , Kowalski, Aaron J. , Kudva, Yogish C., Maahs, David M. , Phillip, Moshe , Russell, Steven J. , Steil, Garry M. , Weinzimer, Stuart A. , Doyle, Francis J , Ekhlaspour, Laya , Fabris, Chiara , Forlenza, Gregory P , Klonoff, David C , Kovatchev, Boris , Levy, Carol J , Maahs, David M , Phillip, Moshe , Renard, Eric , Russell, Steven J , Shah, Viral N , Wadwa, R Paul , Battelino, Tadej , Hovorka, Roman , Buckingham, Bruce , DeBoer, Mark Daniel , Doyle, Francis J. , Levy, Carol J. , Kudva, Yogish C. , Shah, Viral N.
Diabetes Technology & Therapeutics | July 1, 2025 | Volume: 27 | Issue: 3_suppl | Pages: No page available
The development of automated insulin delivery systems has seen tremendous improvements from individual components to interoperable system combinations of devices and new drugs besides insulin. The components have become progressively smaller, more accurate, and more user friendly. This article summarizes the history of the artificial pancreas from the earliest concepts to fully functional systems to research into further improvements in the future. The authors include many of the developers of this technology who received research support from the National Institute of Diabetes and Digestive and Kidney Diseases at various stages to develop these systems.
Early Stages of Automated Insulin Delivery
Zisser, Howard , Hovorka, Roman , Basu, Ananda , Battelino, Tadej , Boughton, Charlotte K. , Breton, Marc D. , Buckingham, Bruce A. , Brown, Sue A. , Cherñavvsky, Daniel R. , Dassau, Eyal , Ekhlaspour, Laya , Forlenza, Gregory P. , Haidar, Ahmad , Klonoff, David C. , Kovatchev, Boris , Kowalski, Aaron J. , Kudva, Yogish C. , Maahs, David M. , Phillip, Moshe , Russell, Steven J. , Steil, Garry M. , Weinzimer, Stuart A. , Doyle, Francis J , Ekhlaspour, Laya , Fabris, Chiara , Forlenza, Gregory P , Klonoff, David C , Kovatchev, Boris , Levy, Carol J , Maahs, David M , Phillip, Moshe , Renard, Eric , Russell, Steven J , Shah, Viral N , Wadwa, R Paul , Battelino, Tadej , Hovorka, Roman , Buckingham, Bruce , DeBoer, Mark Daniel , Doyle, Francis J. , Levy, Carol J. , Shah, Viral N.
Journal of Diabetes Science and Technology | July 1, 2025 | Volume: 19 | Issue: 4 | Pages: 908-923
The development of automated insulin delivery systems has seen tremendous improvements from individual components to interoperable system combinations of devices and new drugs besides insulin. The components have become progressively smaller, more accurate, and more user friendly. This article summarizes the history of the artificial pancreas from the earliest concepts to fully functional systems to research into further improvements in the future. The authors include many of the developers of this technology who received research support from the National Institute of Diabetes and Digestive and Kidney Diseases at various stages to develop these systems.
Is Psychological Stress a Factor for Incorporation Into Future Closed-Loop Systems?
Gonder‐Frederick, Linda , Brown, Sue A. , Patek, Stephen D., Basu, Ananda , Pinsker, Jordan E. , Kudva, Yogish C. , Wakeman, Christian, Dassau, Eyal , Zisser, Howard , Grabman, Jesse H. , Kovatchev, Boris , Cobelli, Claudio , Doyle, Francis J.
Journal of Diabetes Science and Technology | March 11, 2016 | Volume: 10 | Issue: 3 | Pages: 640-646
Background: The relationship between daily psychological stress and BG fluctuations in type 1 diabetes (T1DM) is unclear. More research is needed to determine if stress-related BG changes should be considered in glucose control algorithms. This study in the usual free-living environment examined relationships among routine daily stressors and BG profile measures generated from CGM readings. Methods: A total of 33 participants with T1DM on insulin pumps wore a CGM device for 1 week and recorded daily ratings of psychological stress, carbohydrates, and insulin boluses. Results: Within-subjects ANCOVAs found a significant relationship between daily stress and indices of BG variability/instability ( r = .172 to .185, P = .011 to .018, r 2 = 2.97% to 3.43%), increased % time in hypoglycemia ( r = .153, P = .036, r 2 = 2.33%) and decreased carbohydrate consumption ( r = –.157, P = .031, r 2 = 2.47%). Models accounted for more variance for individuals reporting the highest daily stress. There was no relationship between stress and mean daily glucose or low/high glucose risk indices. Conclusions: These preliminary findings suggest that naturally occurring daily stressors can be associated with increased glucose instability and hypoglycemia, as well as decreased food consumption. In addition, findings support the hypothesis that some individuals are more metabolically reactive to stress. More rigorous studies using CGM technology are needed to understand whether the impact of daily stress on BG is clinically meaningful and if it is a behavioral factor that should be considered in glucose control systems for some individuals.