Cargando…
Mathematical modeling of the dynamic storage of iron in ferritin
BACKGROUND: Iron is essential for the maintenance of basic cellular processes. In the regulation of its cellular levels, ferritin acts as the main intracellular iron storage protein. In this work we present a mathematical model for the dynamics of iron storage in ferritin during the process of intes...
Autores principales: | , , , , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2992510/ https://www.ncbi.nlm.nih.gov/pubmed/21047430 http://dx.doi.org/10.1186/1752-0509-4-147 |
_version_ | 1782192750167326720 |
---|---|
author | Salgado, J Cristian Olivera-Nappa, Alvaro Gerdtzen, Ziomara P Tapia, Victoria Theil, Elizabeth C Conca, Carlos Nuñez, Marco T |
author_facet | Salgado, J Cristian Olivera-Nappa, Alvaro Gerdtzen, Ziomara P Tapia, Victoria Theil, Elizabeth C Conca, Carlos Nuñez, Marco T |
author_sort | Salgado, J Cristian |
collection | PubMed |
description | BACKGROUND: Iron is essential for the maintenance of basic cellular processes. In the regulation of its cellular levels, ferritin acts as the main intracellular iron storage protein. In this work we present a mathematical model for the dynamics of iron storage in ferritin during the process of intestinal iron absorption. A set of differential equations were established considering kinetic expressions for the main reactions and mass balances for ferritin, iron and a discrete population of ferritin species defined by their respective iron content. RESULTS: Simulation results showing the evolution of ferritin iron content following a pulse of iron were compared with experimental data for ferritin iron distribution obtained with purified ferritin incubated in vitro with different iron levels. Distinctive features observed experimentally were successfully captured by the model, namely the distribution pattern of iron into ferritin protein nanocages with different iron content and the role of ferritin as a controller of the cytosolic labile iron pool (cLIP). Ferritin stabilizes the cLIP for a wide range of total intracellular iron concentrations, but the model predicts an exponential increment of the cLIP at an iron content > 2,500 Fe/ferritin protein cage, when the storage capacity of ferritin is exceeded. CONCLUSIONS: The results presented support the role of ferritin as an iron buffer in a cellular system. Moreover, the model predicts desirable characteristics for a buffer protein such as effective removal of excess iron, which keeps intracellular cLIP levels approximately constant even when large perturbations are introduced, and a freely available source of iron under iron starvation. In addition, the simulated dynamics of the iron removal process are extremely fast, with ferritin acting as a first defense against dangerous iron fluctuations and providing the time required by the cell to activate slower transcriptional regulation mechanisms and adapt to iron stress conditions. In summary, the model captures the complexity of the iron-ferritin equilibrium, and can be used for further theoretical exploration of the role of ferritin in the regulation of intracellular labile iron levels and, in particular, as a relevant regulator of transepithelial iron transport during the process of intestinal iron absorption. |
format | Text |
id | pubmed-2992510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-29925102010-12-20 Mathematical modeling of the dynamic storage of iron in ferritin Salgado, J Cristian Olivera-Nappa, Alvaro Gerdtzen, Ziomara P Tapia, Victoria Theil, Elizabeth C Conca, Carlos Nuñez, Marco T BMC Syst Biol Research Article BACKGROUND: Iron is essential for the maintenance of basic cellular processes. In the regulation of its cellular levels, ferritin acts as the main intracellular iron storage protein. In this work we present a mathematical model for the dynamics of iron storage in ferritin during the process of intestinal iron absorption. A set of differential equations were established considering kinetic expressions for the main reactions and mass balances for ferritin, iron and a discrete population of ferritin species defined by their respective iron content. RESULTS: Simulation results showing the evolution of ferritin iron content following a pulse of iron were compared with experimental data for ferritin iron distribution obtained with purified ferritin incubated in vitro with different iron levels. Distinctive features observed experimentally were successfully captured by the model, namely the distribution pattern of iron into ferritin protein nanocages with different iron content and the role of ferritin as a controller of the cytosolic labile iron pool (cLIP). Ferritin stabilizes the cLIP for a wide range of total intracellular iron concentrations, but the model predicts an exponential increment of the cLIP at an iron content > 2,500 Fe/ferritin protein cage, when the storage capacity of ferritin is exceeded. CONCLUSIONS: The results presented support the role of ferritin as an iron buffer in a cellular system. Moreover, the model predicts desirable characteristics for a buffer protein such as effective removal of excess iron, which keeps intracellular cLIP levels approximately constant even when large perturbations are introduced, and a freely available source of iron under iron starvation. In addition, the simulated dynamics of the iron removal process are extremely fast, with ferritin acting as a first defense against dangerous iron fluctuations and providing the time required by the cell to activate slower transcriptional regulation mechanisms and adapt to iron stress conditions. In summary, the model captures the complexity of the iron-ferritin equilibrium, and can be used for further theoretical exploration of the role of ferritin in the regulation of intracellular labile iron levels and, in particular, as a relevant regulator of transepithelial iron transport during the process of intestinal iron absorption. BioMed Central 2010-11-03 /pmc/articles/PMC2992510/ /pubmed/21047430 http://dx.doi.org/10.1186/1752-0509-4-147 Text en Copyright ©2010 Salgado 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 Article Salgado, J Cristian Olivera-Nappa, Alvaro Gerdtzen, Ziomara P Tapia, Victoria Theil, Elizabeth C Conca, Carlos Nuñez, Marco T Mathematical modeling of the dynamic storage of iron in ferritin |
title | Mathematical modeling of the dynamic storage of iron in ferritin |
title_full | Mathematical modeling of the dynamic storage of iron in ferritin |
title_fullStr | Mathematical modeling of the dynamic storage of iron in ferritin |
title_full_unstemmed | Mathematical modeling of the dynamic storage of iron in ferritin |
title_short | Mathematical modeling of the dynamic storage of iron in ferritin |
title_sort | mathematical modeling of the dynamic storage of iron in ferritin |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2992510/ https://www.ncbi.nlm.nih.gov/pubmed/21047430 http://dx.doi.org/10.1186/1752-0509-4-147 |
work_keys_str_mv | AT salgadojcristian mathematicalmodelingofthedynamicstorageofironinferritin AT oliveranappaalvaro mathematicalmodelingofthedynamicstorageofironinferritin AT gerdtzenziomarap mathematicalmodelingofthedynamicstorageofironinferritin AT tapiavictoria mathematicalmodelingofthedynamicstorageofironinferritin AT theilelizabethc mathematicalmodelingofthedynamicstorageofironinferritin AT concacarlos mathematicalmodelingofthedynamicstorageofironinferritin AT nunezmarcot mathematicalmodelingofthedynamicstorageofironinferritin |