Abstract
The systematical associations between stroke and coronary heart disease (CHD) remain controversial and uncertain. Network construction and modularized analysis have become powerful tools in the field of systems biology research, which can help us to mine the multidimensional characters of correlation between the two diseases in depth. A total of 218 stroke-related and 204 CHD-related genes were identified via the Online Mendelian Inheritance in Man database; text searching engine (Agilent Literature Search 2.71) and MCODE software were employed for network construction and module division, respectively. Finally, 67, 21, 7, and 196 overlapping genes, hubs, modules and modular functions were identified between stroke and CHD, respectively. The overlapping genes, which should be responsible for the similar phenotypes, highlighted the molecular signatures of the two linked diseases. Additionally, the analysis of modules and their functional annotations showed potential dependent and independent risk factors, such as atherosclerosis, cholesterol homeostasis, plasma lipoprotein particle remodeling and response to oxidative stress, etc. Moreover, the potential mechanisms by which the same biological process activating pathological cascade or risk component-based shared pathway between stroke and CHD were uncovered, which may provide useful insights for further drug development and cost saving.
Keywords: Co-pathogenic analysis, coronary heart disease, drug target prediction, gene interaction network, modularized analysis, stroke.
CNS & Neurological Disorders - Drug Targets
Title:Significant Overlapping Modules and Biological Processes Between Stroke and Coronary Heart Disease
Volume: 13 Issue: 4
Author(s): Yingying Zhang, Pengyun Kong, Yinying Chen, Yanan Yu, Jun Liu, Liqiang Yang, Tao Zhao, Jingyi Nan and Zhong Wang
Affiliation:
Keywords: Co-pathogenic analysis, coronary heart disease, drug target prediction, gene interaction network, modularized analysis, stroke.
Abstract: The systematical associations between stroke and coronary heart disease (CHD) remain controversial and uncertain. Network construction and modularized analysis have become powerful tools in the field of systems biology research, which can help us to mine the multidimensional characters of correlation between the two diseases in depth. A total of 218 stroke-related and 204 CHD-related genes were identified via the Online Mendelian Inheritance in Man database; text searching engine (Agilent Literature Search 2.71) and MCODE software were employed for network construction and module division, respectively. Finally, 67, 21, 7, and 196 overlapping genes, hubs, modules and modular functions were identified between stroke and CHD, respectively. The overlapping genes, which should be responsible for the similar phenotypes, highlighted the molecular signatures of the two linked diseases. Additionally, the analysis of modules and their functional annotations showed potential dependent and independent risk factors, such as atherosclerosis, cholesterol homeostasis, plasma lipoprotein particle remodeling and response to oxidative stress, etc. Moreover, the potential mechanisms by which the same biological process activating pathological cascade or risk component-based shared pathway between stroke and CHD were uncovered, which may provide useful insights for further drug development and cost saving.
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Cite this article as:
Zhang Yingying, Kong Pengyun, Chen Yinying, Yu Yanan, Liu Jun, Yang Liqiang, Zhao Tao, Nan Jingyi and Wang Zhong, Significant Overlapping Modules and Biological Processes Between Stroke and Coronary Heart Disease, CNS & Neurological Disorders - Drug Targets 2014; 13 (4) . https://dx.doi.org/10.2174/1871527312666131223115112
DOI https://dx.doi.org/10.2174/1871527312666131223115112 |
Print ISSN 1871-5273 |
Publisher Name Bentham Science Publisher |
Online ISSN 1996-3181 |
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