Literature DB >> 3953814

Gluconeogenesis from labeled carbon: estimating isotope dilution.

J K Kelleher.   

Abstract

To estimate the rate of gluconeogenesis from steady-state incorporation of labeled 3-carbon precursors into glucose, isotope dilution must be considered so that the rate of labeling of glucose can be quantitatively converted to the rate of gluconeogenesis. An expression for the value of this isotope dilution can be derived using mathematical techniques and a model of the tricarboxylic acid (TCA) cycle. The present investigation employs a more complex model than that used in previous studies. This model includes the following pathways that may affect the correction for isotope dilution: 1) flux of 3-carbon precursor to the oxaloacetate pool via acetyl-CoA and the TCA cycle; 2) flux of 4- or 5-carbon compounds into the TCA cycle; 3) reversible flux between oxaloacetate (OAA) and pyruvate and between OAA and fumarate; 4) incomplete equilibrium between OAA pools; and 5) isotope dilution of 3-carbon tracers between the experimentally measured pool and the precursor for the TCA-cycle OAA pool. Experimental tests are outlined which investigators can use to determine whether these pathways are significant in a specific steady-state system. The study indicated that flux through these five pathways can significantly affect the correction for isotope dilution. To correct for the effects of these pathways an alternative method for calculating isotope dilution is proposed using citrate to relate the specific activities of acetyl-CoA and OAA.

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Year:  1986        PMID: 3953814     DOI: 10.1152/ajpendo.1986.250.3.E296

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  9 in total

1.  The effect of prehepatic insulin administration on alanine flux rates in diabetic dogs.

Authors:  E J Freyse; U Fischer; G Albrecht; S Marx; H Keilacker
Journal:  Diabetologia       Date:  1987-06       Impact factor: 10.122

2.  INCA 2.0: A tool for integrated, dynamic modeling of NMR- and MS-based isotopomer measurements and rigorous metabolic flux analysis.

Authors:  Mohsin Rahim; Mukundan Ragavan; Stanislaw Deja; Matthew E Merritt; Shawn C Burgess; Jamey D Young
Journal:  Metab Eng       Date:  2021-12-26       Impact factor: 9.783

3.  Use of (2)H(2)O for estimating rates of gluconeogenesis: determination and correction of error due to transaldolase exchange.

Authors:  Jeffrey D Browning; Shawn C Burgess
Journal:  Am J Physiol Endocrinol Metab       Date:  2012-10-02       Impact factor: 4.310

4.  A potential role for muscle in glucose homeostasis: in vivo kinetic studies in glycogen storage disease type 1a and fructose-1,6-bisphosphatase deficiency.

Authors:  Hidde H Huidekoper; Gepke Visser; Mariëtte T Ackermans; Hans P Sauerwein; Frits A Wijburg
Journal:  J Inherit Metab Dis       Date:  2010-02-02       Impact factor: 4.982

5.  Determination of Krebs cycle metabolic carbon exchange in vivo and its use to estimate the individual contributions of gluconeogenesis and glycogenolysis to overall glucose output in man.

Authors:  A Consoli; F Kennedy; J Miles; J Gerich
Journal:  J Clin Invest       Date:  1987-11       Impact factor: 14.808

6.  Fasting hyperglycemia is not associated with increased expression of PEPCK or G6Pc in patients with Type 2 Diabetes.

Authors:  Varman T Samuel; Sara A Beddow; Takanori Iwasaki; Xian-Man Zhang; Xin Chu; Christopher D Still; Glenn S Gerhard; Gerald I Shulman
Journal:  Proc Natl Acad Sci U S A       Date:  2009-07-08       Impact factor: 11.205

7.  Loss of hepatic autoregulation after carbohydrate overfeeding in normal man.

Authors:  J N Clore; S T Helm; W G Blackard
Journal:  J Clin Invest       Date:  1995-10       Impact factor: 14.808

8.  Dicarboxylic acid fluxes during gluconeogenesis. No channelling of mitochondrial oxalacetate.

Authors:  R Rognstad
Journal:  Bull Math Biol       Date:  1995-07       Impact factor: 1.758

9.  The serum metabolite response to diet intervention with probiotic acidified milk in irritable bowel syndrome patients is indistinguishable from that of non-probiotic acidified milk by 1H NMR-based metabonomic analysis.

Authors:  Simon M M Pedersen; Niels Chr Nielsen; Henrik J Andersen; Johan Olsson; Magnus Simrén; Lena Ohman; Ulla Svensson; Anders Malmendal; Hanne C Bertram
Journal:  Nutrients       Date:  2010-11-23       Impact factor: 5.717

  9 in total

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