Literature DB >> 24065849

Pharmacokinetics of insulin aspart in pump-treated subjects with type 1 diabetes: reproducibility and effect of age, weight, and duration of diabetes.

Ahmad Haidar1, Daniela Elleri, Kavita Kumareswaran, Lalantha Leelarathna, Janet M Allen, Karen Caldwell, Helen R Murphy, Malgorzata E Wilinska, Carlo L Acerini, Mark L Evans, David B Dunger, Marianna Nodale, Roman Hovorka.   

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Year:  2013        PMID: 24065849      PMCID: PMC3781562          DOI: 10.2337/dc13-0485

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


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Insulin aspart, lispro, or glulisine are recommended in pump-treated type 1 diabetes (T1D). Aspart pharmacokinetics has been studied (1), but little is known about its reproducibility and associations with anthropometric and clinical factors. We analyzed retrospectively data collected in 70 pump-treated subjects with T1D, comprising 39 females, 46 young, with mean (SD) BMI 22.7 (4.2) kg/m2, A1C 8.1% (1.3) (65.3 [14.4] mmol/mol), and total daily insulin 0.8 (0.3) units/kg/day, who were undergoing investigations, with ethical approval, of closed-loop insulin delivery. Participants/guardians signed consent/assent as appropriate. Participants were admitted twice to the research facility, 1–6 weeks apart, for 15–37 h, and consumed 1–4 meals accompanied by prandial insulin aspart. Basal aspart was delivered using closed-loop insulin delivery or conventional pump therapy. Venous blood samples were collected every 30–60 min to measure plasma insulin (Invitron, Monmouth, U.K.). From 5,804 plasma insulin measurements, we estimated, using a two-compartment model, the time-to-peak plasma insulin concentration (tmax [min]), the metabolic clearance rate of insulin (MCR in mL/kg/min), and the background residual plasma insulin concentration (mU/L). Results are presented in Table 1. Sex differences in aspart kinetics were not observed. Aspart pharmacokinetics was weakly influenced by common clinical and anthropometric factors, because less than 20% of intersubject variability was explained by sex, BMI, total daily dose, A1C, and diabetes duration.
Table 1

Aspart pharmacokinetics, reproducibility, and correlation with clinical and anthropometric factors

Aspart pharmacokinetics, reproducibility, and correlation with clinical and anthropometric factors We measured tmax comparable to literature reports (1) but observed higher inter- and intraindividual variability of tmax in T1D compared with healthy subjects, with intersubject coefficient of variation 33% vs. 20% and intrasubject coefficient of variation 27% vs. 15% (comparison against Heinemann et al. [2]). Nearly 40% of total variance was attributed to interoccasion variability, presumably due to variations in depth of cannula insertion, insulin site age, and local tissue perfusion. This considerable interoccasion variability suggests large intrapatient variability in postprandial insulin concentration even when prandial boluses are identical. A slower insulin absorption rate was associated with a higher BMI; the BMI z score did not alter this relationship in the young. Comparable findings using soluble insulin were reported in healthy subjects (3), but absorption of rapid-acting insulin in obese type 2 diabetes was not influenced by BMI (4). MCR was highly reproducible. In the absence of a large bedtime bolus, overnight plasma insulin is dictated by basal pump settings. Pump settings are normally altered infrequently and, because MCR is reproducible, our data suggest that the overnight plasma insulin concentration in pump-treated patients is consistent between nights and unable to explain considerable night-to-night blood glucose variations often observed in T1D. The background insulin concentration decreased with diabetes duration. An ultrasensitive assay documented that C-peptide secretion persists over decades but decreases with disease duration (5). The background concentration observed in our data may reflect this residual secretion. Our data lack standardization of insulin delivery, but we mitigated by the use of compartment modeling. Limitations are nonstandardized infusion sets, cannula placement, and age of cannula site likely increasing variability of absorption but representative of the standard clinical practice. In conclusion, anthropometric and clinical factors are weakly associated with aspart pharmacokinetics. Sex does not affect aspart pharmacokinetics. The basal plasma insulin concentrations but not postprandial insulin levels are reproducible between occasions.
  5 in total

1.  Direct comparison of insulin lispro and aspart shows small differences in plasma insulin profiles after subcutaneous injection in type 1 diabetes.

Authors:  C A Hedman; T Lindström; H J Arnqvist
Journal:  Diabetes Care       Date:  2001-06       Impact factor: 19.112

2.  Relationship between absorption of radiolabeled soluble insulin, subcutaneous blood flow, and anthropometry.

Authors:  J P Vora; A Burch; J R Peters; D R Owens
Journal:  Diabetes Care       Date:  1992-11       Impact factor: 19.112

3.  Variability of the metabolic effect of soluble insulin and the rapid-acting insulin analog insulin aspart.

Authors:  L Heinemann; C Weyer; M Rauhaus; S Heinrichs; T Heise
Journal:  Diabetes Care       Date:  1998-11       Impact factor: 19.112

4.  Dose-dependent delay of the hypoglycemic effect of short-acting insulin analogs in obese subjects with type 2 diabetes: a pharmacokinetic and pharmacodynamic study.

Authors:  Maude Gagnon-Auger; Patrick du Souich; Jean-Patrice Baillargeon; Elisabeth Martin; Pascal Brassard; Julie Ménard; Jean-Luc Ardilouze
Journal:  Diabetes Care       Date:  2010-09-14       Impact factor: 19.112

5.  Persistence of prolonged C-peptide production in type 1 diabetes as measured with an ultrasensitive C-peptide assay.

Authors:  Limei Wang; Nicholas Fraser Lovejoy; Denise L Faustman
Journal:  Diabetes Care       Date:  2012-03       Impact factor: 19.112

  5 in total
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Review 1.  Artificial Pancreas Project at Cambridge 2013.

Authors:  R Hovorka
Journal:  Diabet Med       Date:  2015-04-15       Impact factor: 4.359

2.  Pharmacokinetics of insulin aspart and glucagon in type 1 diabetes during closed-loop operation.

Authors:  Ahmad Haidar; Claire Duval; Laurent Legault; Rémi Rabasa-Lhoret
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

3.  Glucose Prediction under Variable-Length Time-Stamped Daily Events: A Seasonal Stochastic Local Modeling Framework.

Authors:  Eslam Montaser; José-Luis Díez; Jorge Bondia
Journal:  Sensors (Basel)       Date:  2021-05-04       Impact factor: 3.576

4.  Enhancing automatic closed-loop glucose control in type 1 diabetes with an adaptive meal bolus calculator - in silico evaluation under intra-day variability.

Authors:  Pau Herrero; Jorge Bondia; Oloruntoba Adewuyi; Peter Pesl; Mohamed El-Sharkawy; Monika Reddy; Chris Toumazou; Nick Oliver; Pantelis Georgiou
Journal:  Comput Methods Programs Biomed       Date:  2017-06-01       Impact factor: 5.428

5.  Modelling endogenous insulin concentration in type 2 diabetes during closed-loop insulin delivery.

Authors:  Yue Ruan; Hood Thabit; Malgorzata E Wilinska; Roman Hovorka
Journal:  Biomed Eng Online       Date:  2015-03-04       Impact factor: 2.819

6.  Pharmacokinetics of diluted (U20) insulin aspart compared with standard (U100) in children aged 3-6 years with type 1 diabetes during closed-loop insulin delivery: a randomised clinical trial.

Authors:  Yue Ruan; Daniela Elleri; Janet M Allen; Martin Tauschmann; Malgorzata E Wilinska; David B Dunger; Roman Hovorka
Journal:  Diabetologia       Date:  2014-12-24       Impact factor: 10.122

7.  Faster insulin action is associated with improved glycaemic outcomes during closed-loop insulin delivery and sensor-augmented pump therapy in adults with type 1 diabetes.

Authors:  Yue Ruan; Hood Thabit; Lalantha Leelarathna; Sara Hartnell; Malgorzata E Wilinska; Martin Tauschmann; Sibylle Dellweg; Carsten Benesch; Julia K Mader; Manuel Holzer; Harald Kojzar; Mark L Evans; Thomas R Pieber; Sabine Arnolds; Roman Hovorka
Journal:  Diabetes Obes Metab       Date:  2017-06-23       Impact factor: 6.577

Review 8.  Coming of age: the artificial pancreas for type 1 diabetes.

Authors:  Hood Thabit; Roman Hovorka
Journal:  Diabetologia       Date:  2016-06-30       Impact factor: 10.122

Review 9.  Insulin Aspart in the Management of Diabetes Mellitus: 15 Years of Clinical Experience.

Authors:  Kjeld Hermansen; Mette Bohl; Anne Grethe Schioldan
Journal:  Drugs       Date:  2016-01       Impact factor: 9.546

10.  Unannounced Meals in the Artificial Pancreas: Detection Using Continuous Glucose Monitoring.

Authors:  Charrise M Ramkissoon; Pau Herrero; Jorge Bondia; Josep Vehi
Journal:  Sensors (Basel)       Date:  2018-03-16       Impact factor: 3.576

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