Literature DB >> 25139882

Quantification of the glycemic response to microdoses of subcutaneous glucagon at varying insulin levels.

Joseph El Youssef1, Jessica R Castle2, Parkash A Bakhtiani2, Ahmad Haidar3, Deborah L Branigan4, Matthew Breen4, W Kenneth Ward5.   

Abstract

OBJECTIVE: Glucagon delivery in closed-loop control of type 1 diabetes is effective in minimizing hypoglycemia. However, high insulin concentration lowers the hyperglycemic effect of glucagon, and small doses of glucagon in this setting are ineffective. There are no studies clearly defining the relationship between insulin levels, subcutaneous glucagon, and blood glucose. RESEARCH DESIGN AND METHODS: Using a euglycemic clamp technique in 11 subjects with type 1 diabetes, we examined endogenous glucose production (EGP) of glucagon (25, 75, 125, and 175 μg) at three insulin infusion rates (0.016, 0.032, and 0.05 units/kg/h) in a randomized, crossover study. Infused 6,6-dideuterated glucose was measured every 10 min, and EGP was determined using a validated glucoregulatory model. Area under the curve (AUC) for glucose production was the primary outcome, estimated over 60 min.
RESULTS: At low insulin levels, EGP rose proportionately with glucagon dose, from 5 ± 68 to 112 ± 152 mg/kg (P = 0.038 linear trend), whereas at high levels, there was no increase in glucose output (19 ± 53 to 26 ± 38 mg/kg, P = NS). Peak glucagon serum levels and AUC correlated well with dose (r2 = 0.63, P < 0.001), as did insulin levels with insulin infusion rates (r2 = 0.59, P < 0.001).
CONCLUSIONS: EGP increases steeply with glucagon doses between 25 and 175 μg at lower insulin infusion rates. However, high insulin infusion rates prevent these doses of glucagon from significantly increasing glucose output and may reduce glucagon effectiveness in preventing hypoglycemia when used in the artificial pancreas.
© 2014 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

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Year:  2014        PMID: 25139882      PMCID: PMC4207205          DOI: 10.2337/dc14-0803

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


  42 in total

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Authors:  A D Cherrington
Journal:  Diabetes       Date:  1999-05       Impact factor: 9.461

2.  Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes.

Authors:  Roman Hovorka; Valentina Canonico; Ludovic J Chassin; Ulrich Haueter; Massimo Massi-Benedetti; Marco Orsini Federici; Thomas R Pieber; Helga C Schaller; Lukas Schaupp; Thomas Vering; Malgorzata E Wilinska
Journal:  Physiol Meas       Date:  2004-08       Impact factor: 2.833

3.  Pharmacokinetics modeling of exogenous glucagon in type 1 diabetes mellitus patients.

Authors:  Dayu Lv; Marc D Breton; Leon S Farhy
Journal:  Diabetes Technol Ther       Date:  2013-08-26       Impact factor: 6.118

4.  The development of Biostator, a Glucose Controlled Insulin Infusion System (GCIIS).

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Journal:  Horm Metab Res       Date:  1977       Impact factor: 2.936

5.  Estimating postprandial glucose fluxes using hierarchical Bayes modelling.

Authors:  Ahmad Haidar; Elizabeth Potocka; Benoit Boulet; A Margot Umpleby; Roman Hovorka
Journal:  Comput Methods Programs Biomed       Date:  2012-02-23       Impact factor: 5.428

6.  Clinical control of diabetes by the artificial pancreas.

Authors:  A M Albisser; B S Leibel; T G Ewart; Z Davidovac; C K Botz; W Zingg; H Schipper; R Gander
Journal:  Diabetes       Date:  1974-05       Impact factor: 9.461

Review 7.  Glucose clamp algorithms and insulin time-action profiles.

Authors:  B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

8.  Quantitative estimation of beta cell sensitivity to glucose in the intact organism: a minimal model of insulin kinetics in the dog.

Authors:  G Toffolo; R N Bergman; D T Finegood; C R Bowden; C Cobelli
Journal:  Diabetes       Date:  1980-12       Impact factor: 9.461

9.  Fully automated closed-loop insulin delivery versus semiautomated hybrid control in pediatric patients with type 1 diabetes using an artificial pancreas.

Authors:  Stuart A Weinzimer; Garry M Steil; Karena L Swan; Jim Dziura; Natalie Kurtz; William V Tamborlane
Journal:  Diabetes Care       Date:  2008-02-05       Impact factor: 19.112

10.  Safety of nighttime 2-hour suspension of Basal insulin in pump-treated type 1 diabetes even in the absence of low glucose.

Authors:  Jennifer L Sherr; Miladys Palau Collazo; Eda Cengiz; Camille Michaud; Lori Carria; Amy T Steffen; Kate Weyman; Melinda Zgorski; Eileen Tichy; William V Tamborlane; Stuart A Weinzimer
Journal:  Diabetes Care       Date:  2013-10-29       Impact factor: 19.112

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  16 in total

1.  Incorporating an Exercise Detection, Grading, and Hormone Dosing Algorithm Into the Artificial Pancreas Using Accelerometry and Heart Rate.

Authors:  Peter G Jacobs; Navid Resalat; Joseph El Youssef; Ravi Reddy; Deborah Branigan; Nicholas Preiser; John Condon; Jessica Castle
Journal:  J Diabetes Sci Technol       Date:  2015-10-05

Review 2.  Role of Glucagon in Automated Insulin Delivery.

Authors:  Leah M Wilson; Peter G Jacobs; Jessica R Castle
Journal:  Endocrinol Metab Clin North Am       Date:  2019-12-10       Impact factor: 4.741

3.  Parallel Control of an Artificial Pancreas with Coordinated Insulin, Glucagon, and Rescue Carbohydrate Control Actions.

Authors:  Vanessa Moscardó; José Luis Díez; Jorge Bondia
Journal:  J Diabetes Sci Technol       Date:  2019-10-20

4.  Cross-Validation of a Glucose-Insulin-Glucagon Pharmacodynamics Model for Simulation Using Data From Patients With Type 1 Diabetes.

Authors:  Sabrina Lyngbye Wendt; Ajenthen Ranjan; Jan Kloppenborg Møller; Signe Schmidt; Carsten Boye Knudsen; Jens Juul Holst; Sten Madsbad; Henrik Madsen; Kirsten Nørgaard; John Bagterp Jørgensen
Journal:  J Diabetes Sci Technol       Date:  2017-02-01

5.  The role of pancreas to improve hyperglycemia in STZ-induced diabetic rats by thiamine disulfide.

Authors:  Mahtab Ghanbari Rad; Mohammadreza Sharifi; Rokhsareh Meamar; Nepton Soltani
Journal:  Nutr Diabetes       Date:  2022-06-20       Impact factor: 4.725

6.  Glucagon sensitivity and clearance in type 1 diabetes: insights from in vivo and in silico experiments.

Authors:  Ling Hinshaw; Ashwini Mallad; Chiara Dalla Man; Rita Basu; Claudio Cobelli; Rickey E Carter; Yogish C Kudva; Ananda Basu
Journal:  Am J Physiol Endocrinol Metab       Date:  2015-07-07       Impact factor: 4.310

7.  Glucagon responses to exercise-induced hypoglycaemia are improved by somatostatin receptor type 2 antagonism in a rat model of diabetes.

Authors:  Erwan Leclair; Richard T Liggins; Ashley J Peckett; Trevor Teich; David H Coy; Mladen Vranic; Michael C Riddell
Journal:  Diabetologia       Date:  2016-04-13       Impact factor: 10.122

8.  Adjunctive Therapies to Optimize Closed-loop Glucose Control.

Authors:  Shylaja Srinivasan; Laya Ekhlaspour; Eda Cengiz
Journal:  J Diabetes Sci Technol       Date:  2021-07-27

Review 9.  Dual-hormone artificial pancreas for management of type 1 diabetes: Recent progress and future directions.

Authors:  Marco Infante; David A Baidal; Michael R Rickels; Andrea Fabbri; Jay S Skyler; Rodolfo Alejandro; Camillo Ricordi
Journal:  Artif Organs       Date:  2021-07-15       Impact factor: 2.663

10.  Pharmacokinetics of Intraperitoneally Delivered Glucagon in Pigs: A Hypothesis of First Pass Metabolism.

Authors:  Ingrid Anna Teigen; Marte Kierulf Åm; Sven Magnus Carlsen; Sverre Christian Christiansen
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2021-06-07       Impact factor: 2.441

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