Cargando…

Mapping Molecular Association Networks of Nervous System Diseases via Large-Scale Analysis of Published Research

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 un...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Xiaojun, Zhao, Dangzhi, Strotmann, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692415/
https://www.ncbi.nlm.nih.gov/pubmed/23825632
http://dx.doi.org/10.1371/journal.pone.0067121
_version_ 1782274607928049664
author Hu, Xiaojun
Zhao, Dangzhi
Strotmann, Andreas
author_facet Hu, Xiaojun
Zhao, Dangzhi
Strotmann, Andreas
author_sort Hu, Xiaojun
collection PubMed
description 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.
format Online
Article
Text
id pubmed-3692415
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-36924152013-07-02 Mapping Molecular Association Networks of Nervous System Diseases via Large-Scale Analysis of Published Research Hu, Xiaojun Zhao, Dangzhi Strotmann, Andreas PLoS One Research Article 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. Public Library of Science 2013-06-25 /pmc/articles/PMC3692415/ /pubmed/23825632 http://dx.doi.org/10.1371/journal.pone.0067121 Text en © 2013 Hu et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hu, Xiaojun
Zhao, Dangzhi
Strotmann, Andreas
Mapping Molecular Association Networks of Nervous System Diseases via Large-Scale Analysis of Published Research
title Mapping Molecular Association Networks of Nervous System Diseases via Large-Scale Analysis of Published Research
title_full Mapping Molecular Association Networks of Nervous System Diseases via Large-Scale Analysis of Published Research
title_fullStr Mapping Molecular Association Networks of Nervous System Diseases via Large-Scale Analysis of Published Research
title_full_unstemmed Mapping Molecular Association Networks of Nervous System Diseases via Large-Scale Analysis of Published Research
title_short Mapping Molecular Association Networks of Nervous System Diseases via Large-Scale Analysis of Published Research
title_sort mapping molecular association networks of nervous system diseases via large-scale analysis of published research
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692415/
https://www.ncbi.nlm.nih.gov/pubmed/23825632
http://dx.doi.org/10.1371/journal.pone.0067121
work_keys_str_mv AT huxiaojun mappingmolecularassociationnetworksofnervoussystemdiseasesvialargescaleanalysisofpublishedresearch
AT zhaodangzhi mappingmolecularassociationnetworksofnervoussystemdiseasesvialargescaleanalysisofpublishedresearch
AT strotmannandreas mappingmolecularassociationnetworksofnervoussystemdiseasesvialargescaleanalysisofpublishedresearch