TY - JOUR
T1 - Circadian variability of insulin sensitivity
T2 - Physiological input for in silico artificial pancreas
AU - Visentin, Roberto
AU - Dalla Man, Chiara
AU - Kudva, Yogish C.
AU - Basu, Ananda
AU - Cobelli, Claudio
N1 - Publisher Copyright:
© 2015 Mary Ann Liebert, Inc.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Closed-loop control clinical research trials have been considerably accelerated by in silico trials using the Food and Drug Administration-accepted type 1 diabetes mellitus (T1DM) simulator. We have recently demonstrated that postprandial insulin sensitivity (SI) in T1DM subjects was lower at breakfast (B) than lunch (L) and dinner (D), but not significantly, because of the small population size. The goal of this study was therefore to incorporate this novel information into the University of Virginia/Padova T1DM simulator and to reproduce in silico the observed circadian variability. Twenty T1DM subjects received an identical mixed meal at B, L, and D. SI was calculated for each meal using the oral glucose minimal model. Seven SI daily patterns were identified, and their probabilities were estimated. Each in silico subject was linked to a time-varying SI profile, while random deviations of up to 40% were allowed. Simulations were compared with experimental data. The integrated area above the basal glucose curve values were 2.60±0.91 (B), 1.38±0.91 (L), and 1.44±1.07 (D) 104 min·mg/dL in silico versus 2.87±1.65 (B), 1.98±1.56 (L), and 2.16±2.00 (D) 104 min·mg/dL in vivo. Incremental peak glucose values were 109±33 (B), 80±29 (L), and 81±30 (D) mg/dL in silico versus 136±39 (B), 126±37 (L), and 125±48 (D) mg/dL in vivo. The incorporation of a time-varying SI into the simulator makes this technology suitable for running multiple-meal scenarios, thus enabling a more robust design of artificial pancreas algorithms.
AB - Closed-loop control clinical research trials have been considerably accelerated by in silico trials using the Food and Drug Administration-accepted type 1 diabetes mellitus (T1DM) simulator. We have recently demonstrated that postprandial insulin sensitivity (SI) in T1DM subjects was lower at breakfast (B) than lunch (L) and dinner (D), but not significantly, because of the small population size. The goal of this study was therefore to incorporate this novel information into the University of Virginia/Padova T1DM simulator and to reproduce in silico the observed circadian variability. Twenty T1DM subjects received an identical mixed meal at B, L, and D. SI was calculated for each meal using the oral glucose minimal model. Seven SI daily patterns were identified, and their probabilities were estimated. Each in silico subject was linked to a time-varying SI profile, while random deviations of up to 40% were allowed. Simulations were compared with experimental data. The integrated area above the basal glucose curve values were 2.60±0.91 (B), 1.38±0.91 (L), and 1.44±1.07 (D) 104 min·mg/dL in silico versus 2.87±1.65 (B), 1.98±1.56 (L), and 2.16±2.00 (D) 104 min·mg/dL in vivo. Incremental peak glucose values were 109±33 (B), 80±29 (L), and 81±30 (D) mg/dL in silico versus 136±39 (B), 126±37 (L), and 125±48 (D) mg/dL in vivo. The incorporation of a time-varying SI into the simulator makes this technology suitable for running multiple-meal scenarios, thus enabling a more robust design of artificial pancreas algorithms.
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U2 - 10.1089/dia.2014.0192
DO - 10.1089/dia.2014.0192
M3 - Article
C2 - 25531427
AN - SCOPUS:84920842830
SN - 1520-9156
VL - 17
SP - 1
EP - 7
JO - Diabetes Technology and Therapeutics
JF - Diabetes Technology and Therapeutics
IS - 1
ER -