Literature DB >> 7622002

Insulin sensitivity accounts for glucose and lactate kinetics after intravenous glucose injection.

R M Watanabe1, J Lovejoy, G M Steil, M DiGirolamo, R N Bergman.   

Abstract

Mathematical modeling was used to explore the interaction between glucose, insulin, and lactate during the frequently sampled intravenous glucose tolerance test (FSIGTT). Insulin-modified FSIGTs were performed in 25 lean volunteers, and an additional 5 volunteers underwent FSIGTs with glucose injection alone to illustrate the effect of insulin on both glucose and lactate kinetics. The model chosen as the best representation of the system extended the minimal model of glucose kinetics (MM) by including a two-compartment model of lactate kinetics. The model accounted for both glucose and lactate kinetics, provided traditional MM parameters of insulin sensitivity and glucose effectiveness, and descriptive parameters of lactate kinetics. Modeling suggested that lactate production was limited by the rate of glucose disappearance, with no indication of direct effects of insulin on lactate. Inclusion of lactate kinetics had no adverse effect on MM parameters (SG: 0.023 +/- 0.009 vs. 0.023 +/- 0.010 min-1, SI: 1.01 +/- 0.70 vs. 1.03 +/- 0.71 x 10(4).min-1.pmol-1.1; P > 0.50, lactate model vs. MM), and indicated that approximately 1.2% min-1 of total glucose disappearance during the FSIGT is converted to lactate. An additional benefit of including lactate kinetics was the significant improvement in precision in MM parameter estimates as reflected by the fractional standard deviations (FSDs). This effect was most prominent for SG, in which a threefold improvement in parameter precision was observed (FSD: 13.5 +/- 3.1 vs. 42.5 +/- 48.5; means +/- SD).(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1995        PMID: 7622002     DOI: 10.2337/diab.44.8.954

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  4 in total

1.  Glucose effectiveness assessed under dynamic and steady state conditions. Comparability of uptake versus production components.

Authors:  M Ader; T C Ni; R N Bergman
Journal:  J Clin Invest       Date:  1997-03-15       Impact factor: 14.808

2.  Estimating hepatic glucokinase activity using a simple model of lactate kinetics.

Authors:  Darko Stefanovski; Jang H Youn; Matthew Rees; Richard M Watanabe; Marilyn Ader; Viorica Ionut; Anne U Jackson; Michael Boehnke; Francis S Collins; Richard N Bergman
Journal:  Diabetes Care       Date:  2012-03-28       Impact factor: 19.112

3.  A New Oral Model to Assess Postprandial Lactate Production Rate.

Authors:  Jacopo Bonet; Brittany Galuppo; Nicola Santoro; Chiara DallaMan
Journal:  IEEE Trans Biomed Eng       Date:  2022-03-18       Impact factor: 4.756

4.  The association between lactate and muscle aerobic substrate oxidation: Is lactate an early marker for metabolic disease in healthy subjects?

Authors:  Nicholas T Broskey; Walter J Pories; Terry E Jones; Charles J Tanner; Donghai Zheng; Ronald N Cortright; Zhen W Yang; Nkaujyi Khang; Josh Yang; Joseph A Houmard; G Lynis Dohm
Journal:  Physiol Rep       Date:  2021-02
  4 in total

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