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  4. Exploring the Complex Network of Heme-Triggered Effects on the Blood Coagulation System
 
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October 10, 2022
Journal Article
Title

Exploring the Complex Network of Heme-Triggered Effects on the Blood Coagulation System

Abstract
Excess labile heme, occurring under hemolytic conditions, displays a versatile modulator in the blood coagulation system. As such, heme provokes prothrombotic states, either by binding to plasma proteins or through interaction with participating cell types. However, despite several independent reports on these effects, apparently contradictory observations and significant knowledge gaps characterize this relationship, which hampers a complete understanding of heme-driven coagulopathies and the development of suitable and specific treatment options. Thus, the computational exploration of the complex network of heme-triggered effects in the blood coagulation system is presented herein. Combining hemostasis- and heme-specific terminology, the knowledge available thus far was curated and modeled in a mechanistic interactome. Further, these data were incorporated in the earlier established heme knowledge graph, “HemeKG”, to better comprehend the knowledge surrounding heme biology. Finally, a pathway enrichment analysis of these data provided deep insights into so far unknown links and novel experimental targets within the blood coagulation cascade and platelet activation pathways for further investigation of the prothrombotic nature of heme. In summary, this study allows, for the first time, a detailed network analysis of the effects of heme in the blood coagulation system.
Author(s)
Mubeen, Sarah  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Domingo Fernández, Daniel  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Diaz del Ser, Sara
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Solanki, Dhwani
Tom Kodamullil, Alpha
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Hofmann-Apitius, Martin  
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Hopp, Marie-T.
Imhof, Diana
Journal
Journal of Clinical Medicine  
Open Access
File(s)
Download (3.38 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.3390/jcm11195975
10.24406/publica-599
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Keyword(s)
  • data mining

  • heme

  • hemolysis

  • knowledge graph

  • platelet activation

  • thrombosis

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