Kinetic Modeling of Hepatic Metabolism and Simulation of Treatment Effects

Antje Egners, Thorsten Cramer, Iwona Wallach, Nikolaus Berndt

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

Abstract

Mathematical modeling is a promising strategy to fill the experimentally unapproachable knowledge gaps about the relative contribution of various molecular processes to cellular metabolic function. To this end, we developed detailed kinetic models of the central metabolism of different cell types, comprising multiple metabolic functionalities. We used the model to simulate metabolic changes in several cell types under different experimental settings in health and disease. In this way, we show that it is possible to decipher and characterize the relative influence of various metabolic pathways and enzymes to overall metabolic performance and phenotype.Quantitative Systems Metabolism (QSM™) allows quantitative assessment of metabolic functionality and metabolic profiling based on proteomic data. Here, we describe the technique, namely, molecular resolved kinetic modeling, underlying QSM™. We explain the necessary steps for the generation of cell-specific models to functionally interpret proteomic data and point out some unresolved challenges and open questions.
Original languageEnglish
Title of host publicationLiver Carcinogenesis
Subtitle of host publicationMethods and Protocols
EditorsGuido Kroemer, Jonathan Pol, Isabelle Martins
PublisherHumana Press
Pages211-225
Number of pages15
Volume2769
DOIs
Publication statusPublished - 2024

Publication series

SeriesMethods in Molecular Biology
ISSN1064-3745

Keywords

  • Kinetic modeling
  • Liver
  • Metabolism
  • Quantitative proteomics

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