Modeling sex-specific whole-body metabolic responses to feeding and fasting

Men generally favor carbohydrate metabolism, while women lean towards lipid metabolism, resulting in significant sex-based differences in energy oxidation across various metabolic states such as fasting and feeding. These differences are influenced by body composition and inherent metabolic fluxes, including increased lipolysis rates in women. However, understanding how sex influences organ-specific metabolism and systemic manifestations remains incomplete. To address these gaps, we developed a sex-specific, whole-body metabolic model for feeding and fasting scenarios in healthy young adults. Our model integrates organ metabolism with whole-body responses to mixed meals, particularly high-carbohydrate and high-fat meals. Our predictions suggest that differences in liver and adipose tissue nutrient storage and oxidation patterns drive systemic metabolic disparities. We propose that sex differences in fasting hepatic glucose output may result from the different handling of free fatty acids, glycerol, and glycogen. We identified a metabolic pathway, possibly more prevalent in female livers, redirecting lipids towards carbohydrate metabolism to support hepatic glucose production. This mechanism is facilitated by the TG-FFA cycle between adipose tissue and the liver. Incorporating sex-specific data into multi-scale frameworks offers insights into how sex modulates human metabolism.

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Publication Details

Journal
Computers in Biology and Medicine
Published
2024-08-22
DOI
https://doi.org/10.1016/j.compbiomed.2024.109024
Citations
2
Primary Topic
Diet and metabolism studies
Type
article
Field-Weighted Citation Impact
0.65

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article

Modeling sex-specific whole-body metabolic responses to feeding and fasting

Stéphanie M. C. Abo, Anita T. Layton
2 citations
Computers in Biology and Medicine
Diet and metabolism studies
0.65
article

Modeling sex-specific whole-body metabolic responses to feeding and fasting

Stéphanie M. C. Abo, Anita T. Layton
article en
2 citations

Abstract

Men generally favor carbohydrate metabolism, while women lean towards lipid metabolism, resulting in significant sex-based differences in energy oxidation across various metabolic states such as fasting and feeding. These differences are influenced by body composition and inherent metabolic fluxes, including increased lipolysis rates in women. However, understanding how sex influences organ-specific metabolism and systemic manifestations remains incomplete. To address these gaps, we developed a sex-specific, whole-body metabolic model for feeding and fasting scenarios in healthy young adults. Our model integrates organ metabolism with whole-body responses to mixed meals, particularly high-carbohydrate and high-fat meals. Our predictions suggest that differences in liver and adipose tissue nutrient storage and oxidation patterns drive systemic metabolic disparities. We propose that sex differences in fasting hepatic glucose output may result from the different handling of free fatty acids, glycerol, and glycogen. We identified a metabolic pathway, possibly more prevalent in female livers, redirecting lipids towards carbohydrate metabolism to support hepatic glucose production. This mechanism is facilitated by the TG-FFA cycle between adipose tissue and the liver. Incorporating sex-specific data into multi-scale frameworks offers insights into how sex modulates human metabolism.

Computers in Biology and MedicineVol. 181
University of Waterloo (CA)
Canada Research Chairs, Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada, Engineering and Physical Sciences Research Council, CIHR Skin Research Training Centre
Zero hunger
Openalex Percentile: Top 30%
Diet and metabolism studies
0.65
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Modeling sex-specific whole-body metabolic responses to feeding and fasting — Stéphanie M. C. Abo, Anita T. Layton · Computers in Biology and Medicine (2024) | TGRS Research Map | TGRS