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A mathematical model of glutathione metabolism
BACKGROUND: Glutathione (GSH) plays an important role in anti-oxidant defense and detoxification reactions. It is primarily synthesized in the liver by the transsulfuration pathway and exported to provide precursors for in situ GSH synthesis by other tissues. Deficits in glutathione have been implic...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2391141/ https://www.ncbi.nlm.nih.gov/pubmed/18442411 http://dx.doi.org/10.1186/1742-4682-5-8 |
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author | Reed, Michael C Thomas, Rachel L Pavisic, Jovana James, S Jill Ulrich, Cornelia M Nijhout, H Frederik |
author_facet | Reed, Michael C Thomas, Rachel L Pavisic, Jovana James, S Jill Ulrich, Cornelia M Nijhout, H Frederik |
author_sort | Reed, Michael C |
collection | PubMed |
description | BACKGROUND: Glutathione (GSH) plays an important role in anti-oxidant defense and detoxification reactions. It is primarily synthesized in the liver by the transsulfuration pathway and exported to provide precursors for in situ GSH synthesis by other tissues. Deficits in glutathione have been implicated in aging and a host of diseases including Alzheimer's disease, Parkinson's disease, cardiovascular disease, cancer, Down syndrome and autism. APPROACH: We explore the properties of glutathione metabolism in the liver by experimenting with a mathematical model of one-carbon metabolism, the transsulfuration pathway, and glutathione synthesis, transport, and breakdown. The model is based on known properties of the enzymes and the regulation of those enzymes by oxidative stress. We explore the half-life of glutathione, the regulation of glutathione synthesis, and its sensitivity to fluctuations in amino acid input. We use the model to simulate the metabolic profiles previously observed in Down syndrome and autism and compare the model results to clinical data. CONCLUSION: We show that the glutathione pools in hepatic cells and in the blood are quite insensitive to fluctuations in amino acid input and offer an explanation based on model predictions. In contrast, we show that hepatic glutathione pools are highly sensitive to the level of oxidative stress. The model shows that overexpression of genes on chromosome 21 and an increase in oxidative stress can explain the metabolic profile of Down syndrome. The model also correctly simulates the metabolic profile of autism when oxidative stress is substantially increased and the adenosine concentration is raised. Finally, we discuss how individual variation arises and its consequences for one-carbon and glutathione metabolism. |
format | Text |
id | pubmed-2391141 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23911412008-05-22 A mathematical model of glutathione metabolism Reed, Michael C Thomas, Rachel L Pavisic, Jovana James, S Jill Ulrich, Cornelia M Nijhout, H Frederik Theor Biol Med Model Research BACKGROUND: Glutathione (GSH) plays an important role in anti-oxidant defense and detoxification reactions. It is primarily synthesized in the liver by the transsulfuration pathway and exported to provide precursors for in situ GSH synthesis by other tissues. Deficits in glutathione have been implicated in aging and a host of diseases including Alzheimer's disease, Parkinson's disease, cardiovascular disease, cancer, Down syndrome and autism. APPROACH: We explore the properties of glutathione metabolism in the liver by experimenting with a mathematical model of one-carbon metabolism, the transsulfuration pathway, and glutathione synthesis, transport, and breakdown. The model is based on known properties of the enzymes and the regulation of those enzymes by oxidative stress. We explore the half-life of glutathione, the regulation of glutathione synthesis, and its sensitivity to fluctuations in amino acid input. We use the model to simulate the metabolic profiles previously observed in Down syndrome and autism and compare the model results to clinical data. CONCLUSION: We show that the glutathione pools in hepatic cells and in the blood are quite insensitive to fluctuations in amino acid input and offer an explanation based on model predictions. In contrast, we show that hepatic glutathione pools are highly sensitive to the level of oxidative stress. The model shows that overexpression of genes on chromosome 21 and an increase in oxidative stress can explain the metabolic profile of Down syndrome. The model also correctly simulates the metabolic profile of autism when oxidative stress is substantially increased and the adenosine concentration is raised. Finally, we discuss how individual variation arises and its consequences for one-carbon and glutathione metabolism. BioMed Central 2008-04-28 /pmc/articles/PMC2391141/ /pubmed/18442411 http://dx.doi.org/10.1186/1742-4682-5-8 Text en Copyright © 2008 Reed et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Reed, Michael C Thomas, Rachel L Pavisic, Jovana James, S Jill Ulrich, Cornelia M Nijhout, H Frederik A mathematical model of glutathione metabolism |
title | A mathematical model of glutathione metabolism |
title_full | A mathematical model of glutathione metabolism |
title_fullStr | A mathematical model of glutathione metabolism |
title_full_unstemmed | A mathematical model of glutathione metabolism |
title_short | A mathematical model of glutathione metabolism |
title_sort | mathematical model of glutathione metabolism |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2391141/ https://www.ncbi.nlm.nih.gov/pubmed/18442411 http://dx.doi.org/10.1186/1742-4682-5-8 |
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