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The pathophysiology of major depressive disorder through the lens of systems biology: Network analysis of the psycho-immune-neuroendocrine physiome.
Stapelberg, Nicolas J C; Bui, Tuan A; Mansour, Verena; Johnson, Susannah; Branjerdporn, Grace; Adhikary, Sam; Ashton, Kevin; Taylor, Nevin; Headrick, John P.
Afiliação
  • Stapelberg NJC; Bond University, Faculty of Health Sciences and Medicine, Robina, Australia; Gold Coast Health, Southport, Australia.
  • Bui TA; Gold Coast Health, Southport, Australia.
  • Mansour V; Bond University, Faculty of Health Sciences and Medicine, Robina, Australia.
  • Johnson S; Gold Coast Health, Southport, Australia.
  • Branjerdporn G; Gold Coast Health, Southport, Australia; Mater Young Adult Health Service, Mater Hospital, South Brisbane, Australia. Electronic address: grace.branjerdporn@health.qld.gov.au.
  • Adhikary S; Mater Young Adult Health Service, Mater Hospital, South Brisbane, Australia.
  • Ashton K; Bond University, Faculty of Health Sciences and Medicine, Robina, Australia.
  • Taylor N; Gold Coast Health, Southport, Australia.
  • Headrick JP; Griffith University Gold Coast, Southport, Australia.
J Neuroimmunol ; 372: 577959, 2022 11 15.
Article em En | MEDLINE | ID: mdl-36095861
ABSTRACT
BACKGROUND/

AIMS:

The psycho-immune-neuroendocrine (PINE) network is a predominantly physiological (metabolomic) model constructed from the literature, inter-linking multiple biological processes associated with major depressive disorder (MDD), thereby integrating putative mechanistic pathways for MDD into a single network. MATERIAL AND

METHODS:

Previously published metabolomic pathways for the PINE network based on literature searches conducted in 1991-2021 were used to construct an edge table summarizing all physiological pathways in pairs of origin nodes and target nodes. The Gephi software program was used to calculate network metrics from the edge table, including total degree and centrality measures, to ascertain key network nodes and construct a directed network graph.

RESULTS:

An edge table and directional network graph of physiological relationships in the PINE network is presented. The network has properties consistent with complex biological systems, with analysis yielding key network nodes comprising pro-inflammatory cytokines (TNF- α, IL6 and IL1), glucocorticoids and corticotropin releasing hormone (CRH). These may represent central structural and regulatory elements in the context of MDD.

CONCLUSION:

The identified hubs have a high degree of connection and are known to play roles in the progression from health to MDD. These nodes represent strategic targets for therapeutic intervention or prevention. Future work is required to build a weighted and dynamic simulation of the network PINE.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Neuroimmunol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transtorno Depressivo Maior Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: J Neuroimmunol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália