Document Detail


Systems biology approaches to finding novel pain mediators.
MedLine Citation:
PMID:  23059966     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Chronic pain represents a major health burden; this maladaptive pain state occurs as a consequence of hypersensitivity within the peripheral and central components of the somatosensory system. High throughput technologies (genomics, transciptomics, lipidomics, and proteomics) are now being applied to tissue derived from pain patients as well as experimental pain models to discover novel pain mediators. The use of clustering, meta-analysis and other techniques can help refine potential candidates. Of particular importance are systems biology methods, such as co-expression network generating algorithms, which infer potential associations/interactions between molecules and build networks based on these interactions. Protein-protein interaction networks allow the lists of potential targets generated by these different platforms to be analyzed in their biological context. Outputs from these different methods must also be related to the clinical pain phenotype. The improved and standardized phenotyping of pain symptoms and sensory signs enables much better subject stratification. Our hope is that, in the future, the use of computational approaches to integrate datasets including sensory phenotype as well as the outputs of high throughput technologies will help define novel pain mediators and provide insights into the pathogenesis of chronic pain.
Authors:
Ana Antunes-Martins; James R Perkins; Jonathan Lees; Tobias Hildebrandt; Christine Orengo; David L H Bennett
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Review     Date:  2012-10-11
Journal Detail:
Title:  Wiley interdisciplinary reviews. Systems biology and medicine     Volume:  5     ISSN:  1939-005X     ISO Abbreviation:  Wiley Interdiscip Rev Syst Biol Med     Publication Date:    2013 Jan-Feb
Date Detail:
Created Date:  2012-12-20     Completed Date:  2013-06-03     Revised Date:  2014-02-24    
Medline Journal Info:
Nlm Unique ID:  101516550     Medline TA:  Wiley Interdiscip Rev Syst Biol Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  11-35     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 Wiley Periodicals, Inc.
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MeSH Terms
Descriptor/Qualifier:
Analgesics / therapeutic use*
Animals
Chronic Pain / drug therapy*,  physiopathology*
Computer Simulation
Drug Discovery / methods*
Humans
Models, Biological*
Proteome / metabolism*
Systems Biology / methods*
Grant Support
ID/Acronym/Agency:
095698//Wellcome Trust
Chemical
Reg. No./Substance:
0/Analgesics; 0/Proteome

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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