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A computational model to understand mouse iron physiology and disease
It is well known that iron is an essential element for life but is toxic when in excess or in certain forms. Accordingly there are many diseases that result directly from either lack or excess of iron. Yet many molecular and physiological aspects of iron regulation have only been discovered recently...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334977/ https://www.ncbi.nlm.nih.gov/pubmed/30608934 http://dx.doi.org/10.1371/journal.pcbi.1006680 |
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author | Parmar, Jignesh H. Mendes, Pedro |
author_facet | Parmar, Jignesh H. Mendes, Pedro |
author_sort | Parmar, Jignesh H. |
collection | PubMed |
description | It is well known that iron is an essential element for life but is toxic when in excess or in certain forms. Accordingly there are many diseases that result directly from either lack or excess of iron. Yet many molecular and physiological aspects of iron regulation have only been discovered recently and others are still elusive. There is still no good quantitative and dynamic description of iron absorption, distribution, storage and mobilization that agrees with the wide array of phenotypes presented in several iron-related diseases. The present work addresses this issue by developing a mathematical model of iron distribution in mice calibrated with ferrokinetic data and subsequently validated against data from mouse models of iron disorders, such as hemochromatosis, β-thalassemia, atransferrinemia and anemia of inflammation. To adequately fit the ferrokinetic data required inclusion of the following mechanisms: a) transferrin-mediated iron delivery to tissues, b) induction of hepcidin by transferrin-bound iron, c) ferroportin-dependent iron export regulated by hepcidin, d) erythropoietin regulation of erythropoiesis, and e) liver uptake of NTBI. The utility of the model to simulate disease interventions was demonstrated by using it to investigate the outcome of different schedules of transferrin treatment in β-thalassemia. |
format | Online Article Text |
id | pubmed-6334977 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-63349772019-01-30 A computational model to understand mouse iron physiology and disease Parmar, Jignesh H. Mendes, Pedro PLoS Comput Biol Research Article It is well known that iron is an essential element for life but is toxic when in excess or in certain forms. Accordingly there are many diseases that result directly from either lack or excess of iron. Yet many molecular and physiological aspects of iron regulation have only been discovered recently and others are still elusive. There is still no good quantitative and dynamic description of iron absorption, distribution, storage and mobilization that agrees with the wide array of phenotypes presented in several iron-related diseases. The present work addresses this issue by developing a mathematical model of iron distribution in mice calibrated with ferrokinetic data and subsequently validated against data from mouse models of iron disorders, such as hemochromatosis, β-thalassemia, atransferrinemia and anemia of inflammation. To adequately fit the ferrokinetic data required inclusion of the following mechanisms: a) transferrin-mediated iron delivery to tissues, b) induction of hepcidin by transferrin-bound iron, c) ferroportin-dependent iron export regulated by hepcidin, d) erythropoietin regulation of erythropoiesis, and e) liver uptake of NTBI. The utility of the model to simulate disease interventions was demonstrated by using it to investigate the outcome of different schedules of transferrin treatment in β-thalassemia. Public Library of Science 2019-01-04 /pmc/articles/PMC6334977/ /pubmed/30608934 http://dx.doi.org/10.1371/journal.pcbi.1006680 Text en © 2019 Parmar, Mendes http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Parmar, Jignesh H. Mendes, Pedro A computational model to understand mouse iron physiology and disease |
title | A computational model to understand mouse iron physiology and disease |
title_full | A computational model to understand mouse iron physiology and disease |
title_fullStr | A computational model to understand mouse iron physiology and disease |
title_full_unstemmed | A computational model to understand mouse iron physiology and disease |
title_short | A computational model to understand mouse iron physiology and disease |
title_sort | computational model to understand mouse iron physiology and disease |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6334977/ https://www.ncbi.nlm.nih.gov/pubmed/30608934 http://dx.doi.org/10.1371/journal.pcbi.1006680 |
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