From feedback loop transitions to biomarkers in the psycho-immune-neuroendocrine network: Detecting the critical transition from health to major depression

Stapelberg, NJC; Pratt, R; Neumann, DL; Shum, DHK; Brandis, S; Muthukkumarasamy, V; Stantic, B; Blumenstein, M; Headrick, JP

From feedback loop transitions to biomarkers in the psycho-immune-neuroendocrine network: Detecting the critical transition from health to major depression

Stapelberg, NJC Pratt, R Neumann, DL Shum, DHK Brandis, S Muthukkumarasamy, V Stantic, B Blumenstein, M

Headrick, JP

Permalink

Publication Type:: Journal Article
Citation:: Neuroscience and Biobehavioral Reviews, 2018, 90 pp. 1 - 15
Issue Date:: 2018-07-01

Closed Access

	Filename	Description	Size
	1-s2.0-S0149763417306966-main.pdf	Published Version	1.98 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Stapelberg, NJC	en_US
dc.contributor.author	Pratt, R	en_US
dc.contributor.author	Neumann, DL	en_US
dc.contributor.author	Shum, DHK	en_US
dc.contributor.author	Brandis, S	en_US
dc.contributor.author	Muthukkumarasamy, V	en_US
dc.contributor.author	Stantic, B	en_US
dc.contributor.author	Blumenstein, M https://orcid.org/0000-0002-9908-3744	en_US
dc.contributor.author	Headrick, JP	en_US
dc.date.available	2018-03-06	en_US
dc.date.issued	2018-07-01	en_US
dc.identifier.citation	Neuroscience and Biobehavioral Reviews, 2018, 90 pp. 1 - 15	en_US
dc.identifier.issn	0149-7634	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131940
dc.description.abstract	© 2018 Elsevier Ltd Background: Biological pathways underlying major depressive disorder (MDD) can be viewed as systems biology networks. The psycho-immune-neuroendocrine (PINE) network comprises central nervous, immune, endocrine and autonomic systems, integrating biological mechanisms of MDD. Such networks exhibit recurrent motifs with specific functions, including positive and negative feedback loops, and are subject to critical transitions, influenced by feedback loop transitions (FLTs). Aims: We aim to identify critical feedback loops and their FLTs, as well sentinel network nodes (SNNs), key network nodes that drive FLTs, within the PINE network. Examples of biomarkers are provided which may reflect early warning signs of impending critical transition to MDD. Results: Disruption of homeostatic feedback loops reflects the physiological transition to MDD. Putative FLTs are identified within hypothalamic-pituitary-adrenal (HPA) and sympathetic-parasympathetic axes, the kynurenine pathway, gut function and dysbiosis. Conclusions: Progression from health to disease is driven by FLTs in the PINE network, which is likely to undergo changes characteristic of system instability. Biomarkers of system instability may effectively predict the critical transition to MDD.	en_US
dc.relation.ispartof	Neuroscience and Biobehavioral Reviews	en_US
dc.relation.isbasedon	10.1016/j.neubiorev.2018.03.005	en_US
dc.subject.classification	Behavioral Science & Comparative Psychology	en_US
dc.subject.mesh	Brain	en_US
dc.subject.mesh	Nerve Net	en_US
dc.subject.mesh	Animals	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Depressive Disorder, Major	en_US
dc.subject.mesh	Computational Biology	en_US
dc.subject.mesh	Systems Biology	en_US
dc.subject.mesh	Biomarkers	en_US
dc.title	From feedback loop transitions to biomarkers in the psycho-immune-neuroendocrine network: Detecting the critical transition from health to major depression	en_US
dc.type	Journal Article
utslib.citation.volume	90	en_US
utslib.for	1701 Psychology	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	11 Medical and Health Sciences	en_US
utslib.for	17 Psychology and Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
pubs.organisational-group	/University of Technology Sydney/Strength - QSI - Centre for Quantum Software and Information
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	90	en_US

Abstract:

© 2018 Elsevier Ltd Background: Biological pathways underlying major depressive disorder (MDD) can be viewed as systems biology networks. The psycho-immune-neuroendocrine (PINE) network comprises central nervous, immune, endocrine and autonomic systems, integrating biological mechanisms of MDD. Such networks exhibit recurrent motifs with specific functions, including positive and negative feedback loops, and are subject to critical transitions, influenced by feedback loop transitions (FLTs). Aims: We aim to identify critical feedback loops and their FLTs, as well sentinel network nodes (SNNs), key network nodes that drive FLTs, within the PINE network. Examples of biomarkers are provided which may reflect early warning signs of impending critical transition to MDD. Results: Disruption of homeostatic feedback loops reflects the physiological transition to MDD. Putative FLTs are identified within hypothalamic-pituitary-adrenal (HPA) and sympathetic-parasympathetic axes, the kynurenine pathway, gut function and dysbiosis. Conclusions: Progression from health to disease is driven by FLTs in the PINE network, which is likely to undergo changes characteristic of system instability. Biomarkers of system instability may effectively predict the critical transition to MDD.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/131940