BMC Systems Biology · 2013 · 73 citations · 18 references
Life SciencesBioinformaticsSystems BiologyNetwork BiologyPathway AnalysisProtein-protein InteractionsDisease Network BiologyMolecular Interaction NetworksNetwork MedicinePathway Topology AnalysisProtein-protein Interaction AnalysisProtein-protein Interaction NetworksBlood PressureCentralityDisease Protein Interaction NetworksNetwork ClosenessProtein Interaction Network TopologyProtein Network AnalysisProtein-protein Interaction Network AnalysisTopological Analysis
BACKGROUND: Essential hypertension (EH) is a complex disease as a consequence of interaction between environmental factors and genetic background, but the pathogenesis of EH remains elusive. The emerging tools of network medicine offer a platform to explore a complex disease at system level. In this study, we aimed to identify the key proteins and the biological regulatory pathways involving in EH and further to explore the molecular connectivities between these pathways by the topological analysis of the Protein-protein interaction (PPI) network. RESULT: The extended network including one giant network consisted of 535 nodes connected via 2572 edges and two separated small networks. 27 proteins with high BC and 28 proteins with large degree have been identified. NOS3 with highest BC and Closeness centrality located in the centre of the network. The backbone network derived from high BC proteins presents a clear and visual overview which shows all important regulatory pathways for blood pressure (BP) and the crosstalk between them. Finally, the robustness of NOS3 as central protein and accuracy of backbone were validated by 287 test networks. CONCLUSION: Our finding suggests that blood pressure variation is orchestrated by an integrated PPI network centered on NOS3.
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