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Can a systems approach produce a better understanding of mood disorders?

Plant, N (2016) Can a systems approach produce a better understanding of mood disorders? BBA - General Subjects, 1861 (1: A). pp. 3335-3344.

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Background: One in twenty-five people suffer from a mood disorder. Current treatments are sub-optimal with poor patient response and uncertain modes-ofaction. There is thus a need to better understand underlying mechanisms that determine mood, and how these go wrong in affective disorders. Systems biology approaches have yielded important biological discoveries for other complex diseases such as cancer, and their potential in affective disorders will be reviewed. Scope of Review: This review will provide a general background to affective disorders, plus an outline of experimental and computational systems biology. The current application of these approaches in understanding affective disorders will be considered, and future recommendations made. Major Conclusions: Experimental systems biology has been applied to the study of affective disorders, especially at the genome and transcriptomic levels. However, data generation has been slowed by a lack of human tissue or suitable animal models. At present, computational systems biology has only be applied to understanding affective disorders on a few occasions. These studies provide sufficient novel biological insight to motivate further use of computational biology in this field. General Significance: In common with many complex diseases much time and money has been spent on the generation of large-scale experimental datasets. The next step is to use the emerging computational approaches, predominantly developed in the field of oncology, to leverage the most biological insight from these datasets. This will lead to the critical breakthroughs required for more effective diagnosis, stratification and treatment of affective disorders.

Item Type: Article
Subjects : Biosciences and Medicine
Divisions : Faculty of Health and Medical Sciences > School of Biosciences and Medicine
Authors :
Plant, N
Date : 24 August 2016
DOI : 10.1016/j.bbagen.2016.08.016
Copyright Disclaimer : © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license
Uncontrolled Keywords : affective disorder; bipolar disorder; computational biology; drug development; systems biology
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 23 Aug 2016 13:32
Last Modified : 24 Aug 2017 02:08

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