Multi-level modelling of the parallell metabolism of ethanol and retinol, with implications for foetal alcohol syndrome
2008 (English)In: 9th International Conference onSystems Biology 2008 (ICSB 2008): Abstract Book, 2008Conference paper, Published paper (Other academic)
Abstract [en]
Objective: Models of the human metabolism are important for understanding diseases and could serve as a powerful tool in the drug discovery process. The complexity of even a unicellular organism is tremendous and most researchers have therefore limited their modelling efforts to bacteria, or single intracellular pathways. We studied the parallel metabolism of ethanol and retinol in humans, because of its suggested physiological importance for the development of foetal alcohol syndrome. Large ethanol intake will inhibit the conversion of retinol into retinoic acid, which is a crucial transcription factor during embryonic development. In this study the objective was to construct a quantitative model that connects phenotype observations at a population, organic and intracellular level with differences in genotype and ethanol metabolism, for further prediction of the influence on the foetus.
Results: We constructed a multiple compartments model, which included a detailed desccription of the ethanol and retinol metabolism in hepatic cells for different genotypes. The model has been validated using published time-series measurements of ethanol, acetaldehyde and acetate concentrations in the blood. This model correctly accounts for differences in geno-and phenotype observed within the human population. Furthermore, the model shows that the retinol metabolism is decreased by ethanol ingestion, both via a reduced intracellular NAD+ concentration, and by an inhibition of alcohol and aldehyde dehydrogenases.
Conclusions: We considered the problem of multi-level modelling with a human model for the ethanol and retinol metabolism in different …
Place, publisher, year, edition, pages
2008.
National Category
Biochemistry and Molecular Biology
Identifiers
URN: urn:nbn:se:oru:diva-110060ISBN: 9781615673322 (print)OAI: oai:DiVA.org:oru-110060DiVA, id: diva2:1817362
Conference
9th International Conference on Systems Biology, Gothenburg, Sweden, August 22-28, 2008.
2023-12-062023-12-062023-12-06Bibliographically approved