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Simulating Metabolic Flexibility in Low Energy Expenditure Conditions Using Genome-Scale Metabolic Models.

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Metabolic flexibility, the body's ability to switch energy sources, is crucial for health. This study introduces a new model accounting for energy expenditure, revealing its link to physical activity and nutrition in older adults.

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Area of Science:

  • * Human metabolism and systems biology.
  • * Computational biology and bioinformatics.
  • * Nutritional science and exercise physiology.

Background:

  • * Metabolic flexibility is vital for cardio-metabolic health and healthy aging in humans.
  • * Genome-scale metabolic models (GEMs) simulate metabolic flexibility using the Respiratory Quotient (RQ).
  • * The impact of low energy expenditure and sedentary behavior on metabolic inflexibility is under-researched.

Purpose of the Study:

  • * To develop an updated GEM description of metabolic flexibility incorporating energy expenditure.
  • * To investigate the interplay between physical activity and nutrition in skeletal muscle metabolism.
  • * To analyze metabolic flexibility in older adults using patient-derived models.

Main Methods:

  • * Utilized genome-scale metabolic models (GEMs) to simulate metabolic flexibility.
  • * Incorporated energy expenditure into the GEM framework.
  • * Analyzed patient-derived skeletal muscle metabolic models from older adults.

Main Results:

  • * Fuel choice in metabolic networks is significantly influenced by ATP consumption rate.
  • * The capacity for adaptive fuel utilization is an inherent characteristic of metabolic networks.
  • * Simulations highlighted the sensitivity of fuel selection to energy demand across all tested models.

Conclusions:

  • * Metabolic flexibility is intrinsically linked to the metabolic network's ability to manage energy expenditure.
  • * Physical activity and nutrition interact significantly in regulating metabolic flexibility, particularly in older adults.
  • * The developed GEM approach provides a novel framework for studying metabolic inflexibility and its determinants.