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Anti-inflammatory effects of reactive oxygen species – a multi-valued logical model validated by formal concept analysis
BACKGROUND: Recent findings suggest that in pancreatic acinar cells stimulated with bile acid, a pro-apoptotic effect of reactive oxygen species (ROS) dominates their effect on necrosis and spreading of inflammation. The first effect presumably occurs via cytochrome C release from the inner mitochon...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4229622/ https://www.ncbi.nlm.nih.gov/pubmed/25315877 http://dx.doi.org/10.1186/s12918-014-0101-7 |
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author | Wollbold, Johannes Jaster, Robert Müller, Sarah Rateitschak, Katja Wolkenhauer, Olaf |
author_facet | Wollbold, Johannes Jaster, Robert Müller, Sarah Rateitschak, Katja Wolkenhauer, Olaf |
author_sort | Wollbold, Johannes |
collection | PubMed |
description | BACKGROUND: Recent findings suggest that in pancreatic acinar cells stimulated with bile acid, a pro-apoptotic effect of reactive oxygen species (ROS) dominates their effect on necrosis and spreading of inflammation. The first effect presumably occurs via cytochrome C release from the inner mitochondrial membrane. A pro-necrotic effect – similar to the one of Ca(2+) – can be strong opening of mitochondrial pores leading to breakdown of the membrane potential, ATP depletion, sustained Ca(2+) increase and premature activation of digestive enzymes. To explain published data and to understand ROS effects during the onset of acute pancreatitis, a model using multi-valued logic is constructed. Formal concept analysis (FCA) is used to validate the model against data as well as to analyze and visualize rules that capture the dynamics. RESULTS: Simulations for two different levels of bile stimulation and for inhibition or addition of antioxidants reproduce the qualitative behaviour shown in the experiments. Based on reported differences of ROS production and of ROS induced pore opening, the model predicts a more uniform apoptosis/necrosis ratio for higher and lower bile stimulation in liver cells than in pancreatic acinar cells. FCA confirms that essential dynamical features of the data are captured by the model. For instance, high necrosis always occurs together with at least a medium level of apoptosis. At the same time, FCA helps to reveal subtle differences between data and simulations. The FCA visualization underlines the protective role of ROS against necrosis. CONCLUSIONS: The analysis of the model demonstrates how ROS and decreased antioxidant levels contribute to apoptosis. Studying the induction of necrosis via a sustained Ca(2+) increase, we implemented the commonly accepted hypothesis of ATP depletion after strong bile stimulation. Using an alternative model, we demonstrate that this process is not necessary to generate the dynamics of the measured variables. Opening of plasma membrane channels could also lead to a prolonged increase of Ca(2+) and to necrosis. Finally, the analysis of the model suggests a direct experimental testing for the model-based hypothesis of a self-enhancing cycle of cytochrome C release and ROS production by interruption of the mitochondrial electron transport chain. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-014-0101-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4229622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42296222014-11-14 Anti-inflammatory effects of reactive oxygen species – a multi-valued logical model validated by formal concept analysis Wollbold, Johannes Jaster, Robert Müller, Sarah Rateitschak, Katja Wolkenhauer, Olaf BMC Syst Biol Research Article BACKGROUND: Recent findings suggest that in pancreatic acinar cells stimulated with bile acid, a pro-apoptotic effect of reactive oxygen species (ROS) dominates their effect on necrosis and spreading of inflammation. The first effect presumably occurs via cytochrome C release from the inner mitochondrial membrane. A pro-necrotic effect – similar to the one of Ca(2+) – can be strong opening of mitochondrial pores leading to breakdown of the membrane potential, ATP depletion, sustained Ca(2+) increase and premature activation of digestive enzymes. To explain published data and to understand ROS effects during the onset of acute pancreatitis, a model using multi-valued logic is constructed. Formal concept analysis (FCA) is used to validate the model against data as well as to analyze and visualize rules that capture the dynamics. RESULTS: Simulations for two different levels of bile stimulation and for inhibition or addition of antioxidants reproduce the qualitative behaviour shown in the experiments. Based on reported differences of ROS production and of ROS induced pore opening, the model predicts a more uniform apoptosis/necrosis ratio for higher and lower bile stimulation in liver cells than in pancreatic acinar cells. FCA confirms that essential dynamical features of the data are captured by the model. For instance, high necrosis always occurs together with at least a medium level of apoptosis. At the same time, FCA helps to reveal subtle differences between data and simulations. The FCA visualization underlines the protective role of ROS against necrosis. CONCLUSIONS: The analysis of the model demonstrates how ROS and decreased antioxidant levels contribute to apoptosis. Studying the induction of necrosis via a sustained Ca(2+) increase, we implemented the commonly accepted hypothesis of ATP depletion after strong bile stimulation. Using an alternative model, we demonstrate that this process is not necessary to generate the dynamics of the measured variables. Opening of plasma membrane channels could also lead to a prolonged increase of Ca(2+) and to necrosis. Finally, the analysis of the model suggests a direct experimental testing for the model-based hypothesis of a self-enhancing cycle of cytochrome C release and ROS production by interruption of the mitochondrial electron transport chain. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-014-0101-7) contains supplementary material, which is available to authorized users. BioMed Central 2014-09-24 /pmc/articles/PMC4229622/ /pubmed/25315877 http://dx.doi.org/10.1186/s12918-014-0101-7 Text en © Wollbold et al.; licensee BioMed Central Ltd. 2014 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 work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Wollbold, Johannes Jaster, Robert Müller, Sarah Rateitschak, Katja Wolkenhauer, Olaf Anti-inflammatory effects of reactive oxygen species – a multi-valued logical model validated by formal concept analysis |
title | Anti-inflammatory effects of reactive oxygen species – a multi-valued logical model validated by formal concept analysis |
title_full | Anti-inflammatory effects of reactive oxygen species – a multi-valued logical model validated by formal concept analysis |
title_fullStr | Anti-inflammatory effects of reactive oxygen species – a multi-valued logical model validated by formal concept analysis |
title_full_unstemmed | Anti-inflammatory effects of reactive oxygen species – a multi-valued logical model validated by formal concept analysis |
title_short | Anti-inflammatory effects of reactive oxygen species – a multi-valued logical model validated by formal concept analysis |
title_sort | anti-inflammatory effects of reactive oxygen species – a multi-valued logical model validated by formal concept analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4229622/ https://www.ncbi.nlm.nih.gov/pubmed/25315877 http://dx.doi.org/10.1186/s12918-014-0101-7 |
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