Simulation Toolbox for Infant Growth with focus on Metabolism (STIG-met)
STIG-met is an integrated platform for simulation of human growth. We combine the experience from traditional growth models with GEMs to provide predictions of metabolic fluxes with enzyme level resolution on a day-to-day basis.
An estimated 165 million children globally have stunted growth, and extensive growth data are available. Genome scale metabolic models allow the simulation of molecular flux over each metabolic enzyme, and are well adapted to analyze biological systems. We used a human genome scale metabolic model to simulate the mechanisms of growth and integrate data about breast-milk intake and composition with the infant’s biomass and energy expenditure of major organs. The model predicted daily metabolic fluxes from birth to age 6 months, and accurately reproduced standard growth curves and changes in body composition. The model corroborates the finding that essential amino and fatty acids do not limit growth, but that energy is the main growth limiting factor. Disruptions to the supply and demand of energy markedly affected the predicted growth, indicating that elevated energy expenditure may be detrimental. The model was used to simulate the metabolic effect of mineral deficiencies, and showed the greatest growth reduction for deficiencies in copper, iron, and magnesium ions which affect energy production through oxidative phosphorylation. The model and simulation method were integrated to a platform and shared with the research community. The growth model constitutes another step towards the complete representation of human metabolism, and may further help improve the understanding of the mechanisms underlying stunting.
Utilisation: maximising growth, predictive simulation, experimental data reconstruction; Model Source: HMR2.00; Taxonomy: Homo sapiens Condition: Malnourishment, Starvation,
Pubmed ID: 28649430
Last update: 2017-10-03
This repository is administered by name @avlant, Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology
- PROGRAMMING LANGUAGE/Version (e.g.):
To reproduce figure 1 run main.m. For other figures run main[name of simulation].m
For a visual guide to the structure of the simulation toolbox, view readme.pptx
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