Journal
CURRENT OPINION IN BIOTECHNOLOGY
Volume 34, Issue -, Pages 48-55Publisher
CURRENT BIOLOGY LTD
DOI: 10.1016/j.copbio.2014.11.020
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Funding
- Fonds National de la Recherche Luxembourg (FNR) of CT through an AFR grant [3118186]
- project 'plan Technologies de la Sante par le Gouvernement du Grand-Duche de Luxembourg' through the Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg
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Ecosystems and biological systems are known to be inherently complex and to exhibit nonlinear dynamics. Diseases such as microbiome dysregulation or depression can be seen as complex systems as well and were shown to exhibit patterns of nonlinearity in their response to perturbations. These nonlinearities can be revealed by a sudden shift in system states, for instance from health to disease. The identification and characterization of early warning signals which could predict upcoming critical transitions is of primordial interest as prevention of disease onset is a major aim in health care. In this review, we focus on recent evidence for critical transitions in diseases and discuss the potential of such studies for therapeutic applications.
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