An Artificial Endocrine Pancreas
Abstract
In order to regulate the blood sugar in the intact depancreatized dog as precisely as that accomplished by its normal pancreas, specific equipment has been devised to deliver insulin or glucose continuously and establish normoglycemia both in the fasting and glucose-loaded states. A minicomputer was programmed to respond to the constantly monitored whole blood glucose by injecting appropriate insulin or glucose intravenously to maintain or restore the normal blood sugar. Standardized glucose challenges consisting of uniform infusions of 10 mg. glucose per kg. min. for sixty minutes were applied to assess the performance of the artificial pancreas. Direct control which relates insulin dosage to the level of the circulating blood sugar results in a response to the challenge resembling mild maturity-onset diabetes both in the abnormally high blood sugar response to glucose loading and in the large amount of insulin required to effect a return to normoglycemia. In contrast, control based on projected (predicted) values of blood sugar not only prevents the abnormal rise but consumes in some cases only 10 per cent of the insulin used for the same glucose load. The performance of the system parallels that of the normal pancreas and lends support to the hypothesis that biphasic insulin responses to glucose challenges are essential for the economy of insulin and the precision of regulation seen in healthy subjects.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The first bedside computer-controlled closed-loop system, the Biostator, was invented by Miles Laboratory in 1974.
“The first bedside computer-controlled closed-loop system, the Biostator, was invented by Miles Laboratory (Elkhart IN) in 1974 (ref. 124).”
From 100 years of insulin: celebrating the past, present and future of diabetes therapy (2021) · cites this paper as [124]
Cited by
Sorted by citations
Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes
Hovorka, R., Canonico, V., Chassin, L. J., Haueter, U., Massi-Benedetti, M., Federici, M. O., Pieber, T. R., Schaller, H. C., Schaupp, L., Vering, T., et al. (2004) · Physiological Measurement · doi:10.1088/0967-3334/25/4/010 · Cited by 1,274 · see citing works
<i>In Silico</i> Preclinical Trials: A Proof of Concept in Closed-Loop Control of Type 1 Diabetes
Kovatchev, B. P., Breton, M., Dalla Man, C., & Cobelli, C. (2009) · Journal of Diabetes Science and Technology · doi:10.1177/193229680900300106 · Cited by 760 · see citing works
Artificial Pancreas: Past, Present, Future
Cobelli, C., Renard, E., & Kovatchev, B. (2011) · Diabetes · doi:10.2337/db11-0654 · Cited by 600 · see citing works
Continuous glucose monitoring: a review of recent studies demonstrating improved glycemic outcomes
Rodbard, D. (2017) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2017.0035 · Cited by 458 · see citing works
Closed-loop insulin delivery from bench to clinical practice
Hovorka, R. (2011) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2011.32 · Cited by 342 · see citing works
Fully Integrated Artificial Pancreas in Type 1 Diabetes
Breton, M., Farret, A., Bruttomesso, D., Anderson, S., Magni, L., Patek, S., Dalla Man, C., Place, J., Demartini, S., Del Favero, S., et al. (2012) · Diabetes · doi:10.2337/db11-1445 · Cited by 315 · see citing works
100 years of insulin: celebrating the past, present and future of diabetes therapy
Sims, E. K., Carr, A. L. J., Oram, R. A., DiMeglio, L. A., & Evans-Molina, C. (2021) · Nature Medicine · doi:10.1038/s41591-021-01418-2 · Cited by 270 · see citing works
Kovatchev, B., Cobelli, C., Renard, E., Anderson, S., Breton, M., Patek, S., Clarke, W., Bruttomesso, D., Maran, A., Costa, S., et al. (2010) · Journal of Diabetes Science and Technology · doi:10.1177/193229681000400611 · Cited by 200 · see citing works
Modeling impulsive injections of insulin: towards artificial pancreas
Huang, M., Li, J., Song, X., & Guo, H. (2012) · SIAM Journal on Applied Mathematics · doi:10.1137/110860306 · Cited by 119 · see citing works
El-Khatib, F. H., Jiang, J., & Damiano, E. R. (2007) · Journal of Diabetes Science and Technology · doi:10.1177/193229680700100208 · Cited by 99 · see citing works
The Artificial Pancreas in 2016: A Digital Treatment Ecosystem for Diabetes
Kovatchev, B., Tamborlane, W. V., Cefalu, W. T., & Cobelli, C. (2016) · Diabetes Care · doi:10.2337/dc16-0824 · Cited by 95 · see citing works
Hope vs hype: where are we in type 1 diabetes?
Skyler, J. S. (2018) · Diabetologia · doi:10.1007/s00125-017-4530-x · Cited by 51 · see citing works
Burnett, D. R., Huyett, L. M., Zisser, H. C., Doyle, F. J., & Mensh, B. D. (2014) · Diabetes · doi:10.2337/db13-1649 · Cited by 52 · see citing works
Nosadini, R., Noy, G. A., Nattrass, M., Alberti, K. G. M. M., Johnston, D. G., Home, P. D., & �rskov, H. (1982) · Diabetologia · doi:10.1007/bf00252845 · Cited by 49 · see citing works
Advancing Our Understanding of the Glucose System via Modeling: A Perspective
Cobelli, C., Dalla Man, C., Pedersen, M. G., Bertoldo, A., & Toffolo, G. (2014) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2310514 · Cited by 46 · see citing works
Developing the UVA/Padova Type 1 Diabetes Simulator: Modeling, Validation, Refinements, and Utility
Cobelli, C., & Kovatchev, B. (2023) · Journal of Diabetes Science and Technology · doi:10.1177/19322968231195081 · Cited by 46 · see citing works
Glucose Clamp Algorithms and Insulin Time-Action Profiles
Bequette, B. W. (2009) · Journal of Diabetes Science and Technology · doi:10.1177/193229680900300503 · Cited by 43 · see citing works
The metabolic response to glycemic control by the artificial pancreas in diabetic man
Zinman, B., Stokes, E. F., Albisser, A. M., Hanna, A. K., Minuk, H. L., Stein, A. N., Leibel, B. S., & Marliss, E. B. (1979) · Metabolism · doi:10.1016/0026-0495(79)90190-2 · Cited by 41 · see citing works
Self-citation
- Authors
- Albisser, A. M., Leibel, B. S., Ewart, T. G., Davidovac, Z., Botz, C. K., & Zingg, W.
- Affiliations
- University of Toronto (CA)
- ORCID
- Zingg, W
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 1974-05-01
- Volume
- 23
- Issue
- 5
- Pages
- 389-396
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2134653585
- Cited by
- 379
- References
- 0
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 6 · 2023: 9 · 2022: 7 · 2021: 3 · 2020: 8 · 2019: 10 · 2018: 11 · 2017: 13 · 2016: 13 · 2015: 6 · 2014: 17 · 2013: 8 · 2012: 14
- FWCI
- 9.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Surgery › Pancreatic function and diabetes
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- artificial pancreas, continuous insulin infusion, glucose infusion, depancreatized dogs, normoglycemia, type 1 diabetes, insulin dose, blood glucose monitoring, minicomputer control
- MeSH terms
- Analog-Digital Conversion, Animals, Artificial Organs, Blood Glucose, Computers, Diabetes Mellitus, Dogs, Glucose, Glucose Tolerance Test, Homeostasis, Infusions, Parenteral, Insulin, Islets of Langerhans, Lipase, Mathematics, Pancreatectomy, Pancreatin, Research Design, Insulin, Long-Acting
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review