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dc.contributor.authorStapelberg, NJC
dc.contributor.authorPratt, R
dc.contributor.authorNeumann, DL
dc.contributor.authorShum, DHK
dc.contributor.authorBrandis, S
dc.contributor.authorMuthukkumarasamy, V
dc.contributor.authorStantic, B
dc.contributor.authorBlumenstein, M
dc.contributor.authorHeadrick, JP
dc.date.accessioned2019-06-07T01:42:24Z
dc.date.available2019-06-07T01:42:24Z
dc.date.issued2018
dc.identifier.issn0149-7634
dc.identifier.doi10.1016/j.neubiorev.2018.03.005
dc.identifier.urihttp://hdl.handle.net/10072/381351
dc.description.abstractBackground: 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.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherElsevier
dc.publisher.placeUnired Kingdom
dc.relation.ispartofpagefrom1
dc.relation.ispartofpageto15
dc.relation.ispartofjournalNeuroscience and Biobehavioral Reviews
dc.relation.ispartofvolume90
dc.subject.fieldofresearchPsychology and Cognitive Sciences not elsewhere classified
dc.subject.fieldofresearchMedical and Health Sciences
dc.subject.fieldofresearchPsychology and Cognitive Sciences
dc.subject.fieldofresearchcode179999
dc.subject.fieldofresearchcode11
dc.subject.fieldofresearchcode17
dc.titleFrom feedback loop transitions to biomarkers in the psycho-immune-neuroendocrine network: Detecting the critical transition from health to major depression
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dcterms.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.description.versionPost-print
gro.rights.copyright© 2018 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence which permits unrestricted, non-commercial use, distribution and reproduction in any medium, providing that the work is properly cited.
gro.hasfulltextFull Text
gro.griffith.authorHeadrick, John P.
gro.griffith.authorStantic, Bela
gro.griffith.authorShum, David
gro.griffith.authorNeumann, David L.
gro.griffith.authorBlumenstein, Michael M.
gro.griffith.authorMuthukkumarasamy, Vallipuram
gro.griffith.authorStapelberg, Chris J.


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