A Systems Biology Approach Towards a Comprehensive Understanding of Ferroptosis
Ferroptosis is a regulated cell death process characterized by iron ion catalysis and reactive oxygen species, leading to lipid peroxidation. This mechanism plays a crucial role in age-related diseases, including cancer and cardiovascular and neurological disorders. To better mimic iron-induced cell...
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description | Ferroptosis is a regulated cell death process characterized by iron ion catalysis and reactive oxygen species, leading to lipid peroxidation. This mechanism plays a crucial role in age-related diseases, including cancer and cardiovascular and neurological disorders. To better mimic iron-induced cell death, predict the effects of various elements, and identify drugs capable of regulating ferroptosis, it is essential to develop precise models of this process. Such drugs can be tested on cellular models. Systems biology offers a powerful approach to studying biological processes through modeling, which involves accumulating and analyzing comprehensive research data. Once a model is created, it allows for examining the system's response to various stimuli. Our goal is to develop a modular framework for ferroptosis, enabling the prediction and screening of compounds with geroprotective and antiferroptotic effects. For modeling and analysis, we utilized BioUML (Biological Universal Modeling Language), which supports key standards in systems biology, modular and visual modeling, rapid simulation, parameter estimation, and a variety of numerical methods. This combination fulfills the requirements for modeling complex biological systems. The integrated modular model was validated on diverse datasets, including original experimental data. This framework encompasses essential molecular genetic processes such as the Fenton reaction, iron metabolism, lipid synthesis, and the antioxidant system. We identified structural relationships between molecular agents within each module and compared them to our proposed system for regulating the initiation and progression of ferroptosis. Our research highlights that no current models comprehensively cover all regulatory mechanisms of ferroptosis. By integrating data on ferroptosis modules into an integrated modular model, we can enhance our understanding of its mechanisms and assist in the discovery of new treatment targets for age-related diseases. A computational model of ferroptosis was developed based on a modular modeling approach and included 73 differential equations and 93 species. |
doi_str_mv | 10.3390/ijms252111782 |
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This mechanism plays a crucial role in age-related diseases, including cancer and cardiovascular and neurological disorders. To better mimic iron-induced cell death, predict the effects of various elements, and identify drugs capable of regulating ferroptosis, it is essential to develop precise models of this process. Such drugs can be tested on cellular models. Systems biology offers a powerful approach to studying biological processes through modeling, which involves accumulating and analyzing comprehensive research data. Once a model is created, it allows for examining the system's response to various stimuli. Our goal is to develop a modular framework for ferroptosis, enabling the prediction and screening of compounds with geroprotective and antiferroptotic effects. For modeling and analysis, we utilized BioUML (Biological Universal Modeling Language), which supports key standards in systems biology, modular and visual modeling, rapid simulation, parameter estimation, and a variety of numerical methods. This combination fulfills the requirements for modeling complex biological systems. The integrated modular model was validated on diverse datasets, including original experimental data. This framework encompasses essential molecular genetic processes such as the Fenton reaction, iron metabolism, lipid synthesis, and the antioxidant system. We identified structural relationships between molecular agents within each module and compared them to our proposed system for regulating the initiation and progression of ferroptosis. Our research highlights that no current models comprehensively cover all regulatory mechanisms of ferroptosis. By integrating data on ferroptosis modules into an integrated modular model, we can enhance our understanding of its mechanisms and assist in the discovery of new treatment targets for age-related diseases. 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Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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This mechanism plays a crucial role in age-related diseases, including cancer and cardiovascular and neurological disorders. To better mimic iron-induced cell death, predict the effects of various elements, and identify drugs capable of regulating ferroptosis, it is essential to develop precise models of this process. Such drugs can be tested on cellular models. Systems biology offers a powerful approach to studying biological processes through modeling, which involves accumulating and analyzing comprehensive research data. Once a model is created, it allows for examining the system's response to various stimuli. Our goal is to develop a modular framework for ferroptosis, enabling the prediction and screening of compounds with geroprotective and antiferroptotic effects. For modeling and analysis, we utilized BioUML (Biological Universal Modeling Language), which supports key standards in systems biology, modular and visual modeling, rapid simulation, parameter estimation, and a variety of numerical methods. This combination fulfills the requirements for modeling complex biological systems. The integrated modular model was validated on diverse datasets, including original experimental data. This framework encompasses essential molecular genetic processes such as the Fenton reaction, iron metabolism, lipid synthesis, and the antioxidant system. We identified structural relationships between molecular agents within each module and compared them to our proposed system for regulating the initiation and progression of ferroptosis. Our research highlights that no current models comprehensively cover all regulatory mechanisms of ferroptosis. By integrating data on ferroptosis modules into an integrated modular model, we can enhance our understanding of its mechanisms and assist in the discovery of new treatment targets for age-related diseases. A computational model of ferroptosis was developed based on a modular modeling approach and included 73 differential equations and 93 species.</description><subject>Apoptosis</subject><subject>Biology</subject><subject>Blood diseases</subject><subject>Causes of</subject><subject>Cell death</subject><subject>Fatty acids</subject><subject>Ferroptosis</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Iron</subject><subject>Iron - metabolism</subject><subject>Iron in the body</subject><subject>Kinetics</subject><subject>Lipid Peroxidation</subject><subject>Lipids</subject><subject>Mathematical models</subject><subject>Metabolism</subject><subject>Metabolites</subject><subject>Models, Biological</subject><subject>Ordinary differential equations</subject><subject>Physiological aspects</subject><subject>Reactive oxygen species</subject><subject>Reactive Oxygen Species - metabolism</subject><subject>Simulation</subject><subject>Systems Biology - methods</subject><issn>1422-0067</issn><issn>1661-6596</issn><issn>1422-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkk1PGzEQhq2KqkDaY6-VJS69LPX3rk8ojYBWQuJQOFuOdzZxtGsv9oYq_76OoECqyoexPM-849cehD5Tcs65Jt_8ZshMMkpp3bB36IQKxipCVH30Zn-MTnPeEMI4k_oDOuZaUs0FPUG3c_xrlycYMv7uYx9XOzwfxxStW-O7-NumNmOLF3EYE6whZP8I-D60kPJkQ-vDCscOX0FKcZxi9vkjet_ZPsOn5zhD91eXd4sf1c3t9c_F_KZyXOmpqqWzS9ZSWRPJnHSc1swKbkW31OWSSstakEYUg11rFZXAnWaO6bYRgkHN-QxdPOmO2-UArYMwJdubMfnBpp2J1pvDTPBrs4qPhlIplKSqKHx9VkjxYQt5MoPPDvreBojbbDhlTS24ULqgZ_-gm7hNofjbU4oIrTl7pVa2B-NDF0tjtxc184ZKLqQqejN0_h-qrBYG72KAzpfzg4LqqcClmHOC7sUkJWY_AuZgBAr_5e3LvNB__5z_Ad3aqoU</recordid><startdate>20241102</startdate><enddate>20241102</enddate><creator>Arbatskiy, Mikhail</creator><creator>Balandin, Dmitriy</creator><creator>Akberdin, Ilya</creator><creator>Churov, Alexey</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-3920-7581</orcidid><orcidid>https://orcid.org/0000-0003-0010-8620</orcidid></search><sort><creationdate>20241102</creationdate><title>A Systems Biology Approach Towards a Comprehensive Understanding of Ferroptosis</title><author>Arbatskiy, Mikhail ; 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This mechanism plays a crucial role in age-related diseases, including cancer and cardiovascular and neurological disorders. To better mimic iron-induced cell death, predict the effects of various elements, and identify drugs capable of regulating ferroptosis, it is essential to develop precise models of this process. Such drugs can be tested on cellular models. Systems biology offers a powerful approach to studying biological processes through modeling, which involves accumulating and analyzing comprehensive research data. Once a model is created, it allows for examining the system's response to various stimuli. Our goal is to develop a modular framework for ferroptosis, enabling the prediction and screening of compounds with geroprotective and antiferroptotic effects. For modeling and analysis, we utilized BioUML (Biological Universal Modeling Language), which supports key standards in systems biology, modular and visual modeling, rapid simulation, parameter estimation, and a variety of numerical methods. This combination fulfills the requirements for modeling complex biological systems. The integrated modular model was validated on diverse datasets, including original experimental data. This framework encompasses essential molecular genetic processes such as the Fenton reaction, iron metabolism, lipid synthesis, and the antioxidant system. We identified structural relationships between molecular agents within each module and compared them to our proposed system for regulating the initiation and progression of ferroptosis. Our research highlights that no current models comprehensively cover all regulatory mechanisms of ferroptosis. By integrating data on ferroptosis modules into an integrated modular model, we can enhance our understanding of its mechanisms and assist in the discovery of new treatment targets for age-related diseases. A computational model of ferroptosis was developed based on a modular modeling approach and included 73 differential equations and 93 species.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>39519341</pmid><doi>10.3390/ijms252111782</doi><orcidid>https://orcid.org/0000-0002-3920-7581</orcidid><orcidid>https://orcid.org/0000-0003-0010-8620</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Apoptosis Biology Blood diseases Causes of Cell death Fatty acids Ferroptosis Health aspects Humans Iron Iron - metabolism Iron in the body Kinetics Lipid Peroxidation Lipids Mathematical models Metabolism Metabolites Models, Biological Ordinary differential equations Physiological aspects Reactive oxygen species Reactive Oxygen Species - metabolism Simulation Systems Biology - methods |
title | A Systems Biology Approach Towards a Comprehensive Understanding of Ferroptosis |
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