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Estimating gluconeogenic rates in NIDDM

B R Landau1

  • 1Department of Medicine, School of Medicine, Case Western Reserve University, Cleveland, OH 44106.

Advances in Experimental Medicine and Biology
|January 1, 1993
PubMed
Summary
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Directly measuring human gluconeogenesis requires tracking labeled intermediates and hepatic glucose production. Current complex methods show validity in NIDDM but face challenges with accuracy and time.

Area of Science:

  • Metabolic Physiology
  • Biochemical Tracers
  • Human Metabolism

Background:

  • Direct measurement of human gluconeogenesis is crucial for understanding metabolic disorders.
  • Existing methods often rely on indirect calculations and tracer enrichment in specific intermediates.
  • Challenges include accounting for metabolic pathways and ensuring accurate tracer distribution.

Purpose of the Study:

  • To evaluate a complex method for directly measuring gluconeogenesis rates in humans.
  • To assess the validity and limitations of using labeled CO2 and lactate tracers.
  • To investigate the accuracy of estimating phosphoenolpyruvate (PEP) enrichment for gluconeogenesis assessment.

Main Methods:

  • Administering 14C or 13C labeled CO2 and [3-14C]lactate to trace gluconeogenesis.

Related Experiment Videos

  • Measuring tracer enrichment in gluconeogenic intermediates and glucose.
  • Estimating PEP enrichment by assessing the tricarboxylic acid cycle relative to gluconeogenesis.
  • Correcting for 14CO2 incorporation into glutamine.
  • Main Results:

    • The proposed method shows validity for estimating gluconeogenesis in non-insulin-dependent diabetes mellitus (NIDDM).
    • The approach is complex, time-consuming, and associated with uncertainties.
    • Estimates using [2-14C]acetate were found to be invalid due to extensive extrahepatic metabolism.

    Conclusions:

    • The described method offers a way to directly estimate human gluconeogenesis, particularly in NIDDM.
    • Significant technical challenges and potential compromises exist, including hepatic zonation and exchange reactions.
    • Further refinement is needed to overcome complexity and improve the reliability of gluconeogenesis rate measurements.