Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-In silico Approach Combining In vitro Experiments and Machine Learning

Life-threatening cardiomyopathy is a severe, but common, complication associated with severe trauma or sepsis. Several signaling pathways involved in apoptosis and necroptosis are linked to trauma- or sepsis-associated cardiomyopathy. However, the underling causative factors are still debatable. Hep...

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Main Authors: Elisabeth Zechendorf, Phillip Vaßen, Jieyi Zhang, Ahmed Hallawa, Antons Martincuks, Oliver Krenkel, Gerhard Müller-Newen, Tobias Schuerholz, Tim-Philipp Simon, Gernot Marx, Gerd Ascheid, Anke Schmeink, Guido Dartmann, Christoph Thiemermann, Lukas Martin
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-03-01
Series:Frontiers in Immunology
Subjects:
Online Access:http://journal.frontiersin.org/article/10.3389/fimmu.2018.00393/full
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author Elisabeth Zechendorf
Phillip Vaßen
Jieyi Zhang
Ahmed Hallawa
Antons Martincuks
Oliver Krenkel
Oliver Krenkel
Gerhard Müller-Newen
Tobias Schuerholz
Tim-Philipp Simon
Gernot Marx
Gerd Ascheid
Anke Schmeink
Guido Dartmann
Christoph Thiemermann
Lukas Martin
Lukas Martin
spellingShingle Elisabeth Zechendorf
Phillip Vaßen
Jieyi Zhang
Ahmed Hallawa
Antons Martincuks
Oliver Krenkel
Oliver Krenkel
Gerhard Müller-Newen
Tobias Schuerholz
Tim-Philipp Simon
Gernot Marx
Gerd Ascheid
Anke Schmeink
Guido Dartmann
Christoph Thiemermann
Lukas Martin
Lukas Martin
Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-In silico Approach Combining In vitro Experiments and Machine Learning
Frontiers in Immunology
septic cardiomyopathy
necroptosis
apoptosis
Petri nets
modeling
optimization
author_facet Elisabeth Zechendorf
Phillip Vaßen
Jieyi Zhang
Ahmed Hallawa
Antons Martincuks
Oliver Krenkel
Oliver Krenkel
Gerhard Müller-Newen
Tobias Schuerholz
Tim-Philipp Simon
Gernot Marx
Gerd Ascheid
Anke Schmeink
Guido Dartmann
Christoph Thiemermann
Lukas Martin
Lukas Martin
author_sort Elisabeth Zechendorf
title Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-In silico Approach Combining In vitro Experiments and Machine Learning
title_short Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-In silico Approach Combining In vitro Experiments and Machine Learning
title_full Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-In silico Approach Combining In vitro Experiments and Machine Learning
title_fullStr Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-In silico Approach Combining In vitro Experiments and Machine Learning
title_full_unstemmed Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-In silico Approach Combining In vitro Experiments and Machine Learning
title_sort heparan sulfate induces necroptosis in murine cardiomyocytes: a medical-in silico approach combining in vitro experiments and machine learning
publisher Frontiers Media S.A.
series Frontiers in Immunology
issn 1664-3224
publishDate 2018-03-01
description Life-threatening cardiomyopathy is a severe, but common, complication associated with severe trauma or sepsis. Several signaling pathways involved in apoptosis and necroptosis are linked to trauma- or sepsis-associated cardiomyopathy. However, the underling causative factors are still debatable. Heparan sulfate (HS) fragments belong to the class of danger/damage-associated molecular patterns liberated from endothelial-bound proteoglycans by heparanase during tissue injury associated with trauma or sepsis. We hypothesized that HS induces apoptosis or necroptosis in murine cardiomyocytes. By using a novel Medical-In silico approach that combines conventional cell culture experiments with machine learning algorithms, we aimed to reduce a significant part of the expensive and time-consuming cell culture experiments and data generation by using computational intelligence (refinement and replacement). Cardiomyocytes exposed to HS showed an activation of the intrinsic apoptosis signal pathway via cytochrome C and the activation of caspase 3 (both p < 0.001). Notably, the exposure of HS resulted in the induction of necroptosis by tumor necrosis factor α and receptor interaction protein 3 (p < 0.05; p < 0.01) and, hence, an increased level of necrotic cardiomyocytes. In conclusion, using this novel Medical-In silico approach, our data suggest (i) that HS induces necroptosis in cardiomyocytes by phosphorylation (activation) of receptor-interacting protein 3, (ii) that HS is a therapeutic target in trauma- or sepsis-associated cardiomyopathy, and (iii) indicate that this proof-of-concept is a first step toward simulating the extent of activated components in the pro-apoptotic pathway induced by HS with only a small data set gained from the in vitro experiments by using machine learning algorithms.
topic septic cardiomyopathy
necroptosis
apoptosis
Petri nets
modeling
optimization
url http://journal.frontiersin.org/article/10.3389/fimmu.2018.00393/full
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spelling doaj-db8a72cc4a594841b0f12eb8f39c8de52020-11-25T00:03:34ZengFrontiers Media S.A.Frontiers in Immunology1664-32242018-03-01910.3389/fimmu.2018.00393329266Heparan Sulfate Induces Necroptosis in Murine Cardiomyocytes: A Medical-In silico Approach Combining In vitro Experiments and Machine LearningElisabeth Zechendorf0Phillip Vaßen1Jieyi Zhang2Ahmed Hallawa3Antons Martincuks4Oliver Krenkel5Oliver Krenkel6Gerhard Müller-Newen7Tobias Schuerholz8Tim-Philipp Simon9Gernot Marx10Gerd Ascheid11Anke Schmeink12Guido Dartmann13Christoph Thiemermann14Lukas Martin15Lukas Martin16Department of Intensive Care and Intermediate Care, University Hospital RWTH Aachen, Aachen, GermanyResearch Area Information Theory and Systematic Design of Communication Systems, RWTH Aachen University, Aachen, GermanyResearch Area Information Theory and Systematic Design of Communication Systems, RWTH Aachen University, Aachen, GermanyChair for Integrated Signal Processing Systems, RWTH Aachen University, Aachen, GermanyInstitute of Biochemistry and Molecular Biology, RWTH Aachen University, Aachen, GermanyDepartment of Intensive Care and Intermediate Care, University Hospital RWTH Aachen, Aachen, GermanyDepartment of Medicine III, University Hospital RWTH Aachen, Aachen, GermanyInstitute of Biochemistry and Molecular Biology, RWTH Aachen University, Aachen, GermanyDepartment of Anesthesia and Intensive Care, University Hospital Rostock, Rostock, GermanyDepartment of Intensive Care and Intermediate Care, University Hospital RWTH Aachen, Aachen, GermanyDepartment of Intensive Care and Intermediate Care, University Hospital RWTH Aachen, Aachen, GermanyChair for Integrated Signal Processing Systems, RWTH Aachen University, Aachen, GermanyResearch Area Information Theory and Systematic Design of Communication Systems, RWTH Aachen University, Aachen, GermanyResearch Area Distributed Systems, Trier University of Applied Sciences, Trier, GermanyWilliam Harvey Research Institute, Queen Mary University London, London, United KingdomDepartment of Intensive Care and Intermediate Care, University Hospital RWTH Aachen, Aachen, GermanyWilliam Harvey Research Institute, Queen Mary University London, London, United KingdomLife-threatening cardiomyopathy is a severe, but common, complication associated with severe trauma or sepsis. Several signaling pathways involved in apoptosis and necroptosis are linked to trauma- or sepsis-associated cardiomyopathy. However, the underling causative factors are still debatable. Heparan sulfate (HS) fragments belong to the class of danger/damage-associated molecular patterns liberated from endothelial-bound proteoglycans by heparanase during tissue injury associated with trauma or sepsis. We hypothesized that HS induces apoptosis or necroptosis in murine cardiomyocytes. By using a novel Medical-In silico approach that combines conventional cell culture experiments with machine learning algorithms, we aimed to reduce a significant part of the expensive and time-consuming cell culture experiments and data generation by using computational intelligence (refinement and replacement). Cardiomyocytes exposed to HS showed an activation of the intrinsic apoptosis signal pathway via cytochrome C and the activation of caspase 3 (both p < 0.001). Notably, the exposure of HS resulted in the induction of necroptosis by tumor necrosis factor α and receptor interaction protein 3 (p < 0.05; p < 0.01) and, hence, an increased level of necrotic cardiomyocytes. In conclusion, using this novel Medical-In silico approach, our data suggest (i) that HS induces necroptosis in cardiomyocytes by phosphorylation (activation) of receptor-interacting protein 3, (ii) that HS is a therapeutic target in trauma- or sepsis-associated cardiomyopathy, and (iii) indicate that this proof-of-concept is a first step toward simulating the extent of activated components in the pro-apoptotic pathway induced by HS with only a small data set gained from the in vitro experiments by using machine learning algorithms.http://journal.frontiersin.org/article/10.3389/fimmu.2018.00393/fullseptic cardiomyopathynecroptosisapoptosisPetri netsmodelingoptimization