Background/objectives <p>Animal studies support that diet affects metabolic fuel utilization and metabolic flexibility. We hypothesized that individuals with contrasting dietary patterns would have different metabolic responses. Differences in metabolic fuel utilization, metabolic flexibility, and gastric emptying time to carbohydrate challenges (rapidly vs slowly digestible carbohydrates [RDC/SDC]) were assessed between US and Kenyan cohorts consuming diets characteristic of each population.</p> Subjects/methods <p>We assessed metabolic fuel utilization using a portable breath CO<sub>2</sub> measuring device and gastric emptying in two cohorts (Kenya, <i>n</i> = 23; US, <i>n</i> = 13) for 2 h following RDC and SDC challenges. Study meals, matched in energy content (732 kJ), consisted of test carbohydrates (30 g) mixed into applesauce (200 g). An estimated respiratory exchange ratio (RER<sub>est</sub>) was calculated from the CO<sub>2</sub> values. Metabolic flexibility (MF) was assessed using Percent Relative Cumulative Frequency followed by modeling with the Weibull Cumulative Distribution function. We collected dietary data using three 24-h dietary recalls and used multivariate mixed effect models to assess dietary influences on RER<sub>est</sub>/MF to carbohydrate challenges.</p> Results <p>Kenyan participants had higher RER<sub>est</sub> and greater MF compared to US participants regardless of the carbohydrate challenge (<i>P</i> &lt; 0.0001), and had improved MF response with SDC vs RDC. Multivariate Model 1 (macronutrient composition) showed that carbohydrate (<i>P</i> = 0.02) and protein (<i>P</i> &lt; 0.001) were predictive of RER<sub>est</sub>; and for Model 2 (carbohydrate quality), total fiber (<i>P</i> = 0.026), starch (<i>P</i> = 0.001) and added sugars (<i>P</i> &lt; 0.001) were predictive of RER<sub>est</sub>.</p> Conclusion <p>The Kenyan cohort consuming a diet of high carbohydrate quality and low in fat showed greater carbohydrate oxidation and improved MF.</p>

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Role of habitual diet in metabolic fuel utilization and metabolic flexibility, evidence in Kenyan and U.S. cohorts

  • Pablo Torres-Aguilar,
  • Anna M. R. Hayes,
  • Clay Swackhamer,
  • Emmanuel Ayua,
  • Laura Michelin,
  • Violet Mugalavai,
  • Bruce R. Hamaker

摘要

Background/objectives

Animal studies support that diet affects metabolic fuel utilization and metabolic flexibility. We hypothesized that individuals with contrasting dietary patterns would have different metabolic responses. Differences in metabolic fuel utilization, metabolic flexibility, and gastric emptying time to carbohydrate challenges (rapidly vs slowly digestible carbohydrates [RDC/SDC]) were assessed between US and Kenyan cohorts consuming diets characteristic of each population.

Subjects/methods

We assessed metabolic fuel utilization using a portable breath CO2 measuring device and gastric emptying in two cohorts (Kenya, n = 23; US, n = 13) for 2 h following RDC and SDC challenges. Study meals, matched in energy content (732 kJ), consisted of test carbohydrates (30 g) mixed into applesauce (200 g). An estimated respiratory exchange ratio (RERest) was calculated from the CO2 values. Metabolic flexibility (MF) was assessed using Percent Relative Cumulative Frequency followed by modeling with the Weibull Cumulative Distribution function. We collected dietary data using three 24-h dietary recalls and used multivariate mixed effect models to assess dietary influences on RERest/MF to carbohydrate challenges.

Results

Kenyan participants had higher RERest and greater MF compared to US participants regardless of the carbohydrate challenge (P < 0.0001), and had improved MF response with SDC vs RDC. Multivariate Model 1 (macronutrient composition) showed that carbohydrate (P = 0.02) and protein (P < 0.001) were predictive of RERest; and for Model 2 (carbohydrate quality), total fiber (P = 0.026), starch (P = 0.001) and added sugars (P < 0.001) were predictive of RERest.

Conclusion

The Kenyan cohort consuming a diet of high carbohydrate quality and low in fat showed greater carbohydrate oxidation and improved MF.