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A mathematical model of Bacteroides thetaiotaomicron, Methanobrevibacter smithii, and Eubacterium rectale interactions in the human gut.
Adrian, Melissa A; Ayati, Bruce P; Mangalam, Ashutosh K.
Afiliación
  • Adrian MA; Department of Mathematics, University of Iowa, Iowa City, IA, 52242, USA. maadrian@uchicago.edu.
  • Ayati BP; Department of Statistics, University of Chicago, Chicago, IL, 60637, USA. maadrian@uchicago.edu.
  • Mangalam AK; Department of Mathematics, University of Iowa, Iowa City, IA, 52242, USA.
Sci Rep ; 13(1): 21192, 2023 12 01.
Article en En | MEDLINE | ID: mdl-38040895
The human gut microbiota is a complex ecosystem that affects a range of human physiology. In order to explore the dynamics of the human gut microbiota, we used a system of ordinary differential equations to model mathematically the biomass of three microorganism populations: Bacteroides thetaiotaomicron, Eubacterium rectale, and Methanobrevibacter smithii. Additionally, we modeled the concentrations of relevant nutrients necessary to sustain these populations over time. Our model highlights the interactions and the competition among these three species. These three microorganisms were specifically chosen due to the system's end product, butyrate, which is a short chain fatty acid that aids in developing and maintaining the intestinal barrier in the human gut. The basis of our mathematical model assumes the gut is structured such that bacteria and nutrients exit the gut at a rate proportional to its volume, the rate of volumetric flow, and the biomass or concentration of the particular population or nutrient. We performed global sensitivity analyses using Sobol' sensitivities to estimate the relative importance of model parameters on simulation results.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bacteroides thetaiotaomicron Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Bacteroides thetaiotaomicron Límite: Humans Idioma: En Revista: Sci Rep Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos