Network interactions investigated
Mapping networks of disease patterns and their associations with molecular substances demonstrate complex interconnections that are helping scientists to better understand diseases, their causes and directions for effective treatment.
Network medicine has been applied successfully to elicit the structure of large-scale molecular interaction networks. Its main proponents have claimed that this approach to integrative medical investigation should make it possible to identify functional modules of interacting molecular biological units as well as interactions themselves. This paper takes a significant step in this direction.
Based on a large-scale analysis of the nervous system molecular medicine literature, this study analyzes and visualizes the complex structure of associations between diseases on the one hand and all types of molecular substances on the other. From this analysis it then identifies functional co-association groups consisting of several types of molecular substances, each consisting of substances that exhibit a pattern of frequent co-association with similar diseases. These groups in turn exhibit interlinking in a complex pattern, suggesting that such complex interactions between functional molecular modules may play a role in disease etiology.
We find that the patterns exhibited by the networks of disease – molecular substance associations studied here correspond well to a number of recently published research results, and that the groups of molecular substances identified by statistical analysis of these networks do appear to be interesting groups of molecular substances that are interconnected in identifiable and interpretable ways. Our results not only demonstrate that networks are a convenient framework to analyze and visualize large-scale, complex relationships among molecular networks and diseases, but may also provide a conceptual basis for bridging gaps in experimental and theoretical knowledge.
SOURCE: PLOSONE article Published: June 25, 2013 DOI: 10.1371/journal.pone.0067121
Full article showing the network maps can be seen here: http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0067121
Mapping Molecular Association Networks of Nervous System Diseases via Large-Scale Analysis of Published Research
Xiaojun Hu, Dangzhi Zhao, Andreas Strotmann
Medical Information Centre, Zhejiang University School of Medicine, Hangzhou, China
School of Library and Information Studies, University of Alberta, Edmonton, Canada
GESIS – Leibniz Institute for the Social Sciences, Cologne, Germany