Mechanistic modeling of hemoglobin glycation and red blood cell kinetics enables personalized diabetes monitoring
- 5 October 2016
- journal article
- research article
- Published by American Association for the Advancement of Science (AAAS) in Science Translational Medicine
- Vol. 8 (359), 359ra130
- https://doi.org/10.1126/scitranslmed.aaf9304
Abstract
On the basis of first principles, a model of hemoglobin glycation yields a personalized, more accurate estimate of average glucose for diabetics.Keywords
Funding Information
- NIH Director’s New Innovator Award (DP2DK098087)
- Abbott Diagnostics
This publication has 46 references indexed in Scilit:
- Physiological and pathological population dynamics of circulating human red blood cellsProceedings of the National Academy of Sciences of the United States of America, 2010
- A Bihormonal Closed-Loop Artificial Pancreas for Type 1 DiabetesScience Translational Medicine, 2010
- Standards of Medical Care in Diabetes—2010Diabetes Care, 2010
- Six of Eight Hemoglobin A1c Point-of-Care Instruments Do Not Meet the General Accepted Analytical Performance CriteriaClinical Chemistry, 2010
- Closed-Loop Control of Artificial Pancreatic $\beta$ -Cell in Type 1 Diabetes Mellitus Using Model Predictive Iterative Learning ControlIEEE Transactions on Biomedical Engineering, 2009
- The measurement and importance of red cell survivalAmerican Journal of Hematology, 2008
- Red cell life span heterogeneity in hematologically normal people is sufficient to alter HbA1cBlood, 2008
- Translating the A1C Assay Into Estimated Average Glucose ValuesDiabetes Care, 2008
- Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33)The Lancet, 1998
- A theoretical model to predict the behavior of glycosylated hemoglobin levelsJournal of Theoretical Biology, 1979