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从系统生物学的角度看重度抑郁症的病理生理学:心理-免疫-神经内分泌生理组学的网络分析。

The pathophysiology of major depressive disorder through the lens of systems biology: Network analysis of the psycho-immune-neuroendocrine physiome.

机构信息

Bond University, Faculty of Health Sciences and Medicine, Robina, Australia; Gold Coast Health, Southport, Australia.

Gold Coast Health, Southport, Australia.

出版信息

J Neuroimmunol. 2022 Nov 15;372:577959. doi: 10.1016/j.jneuroim.2022.577959. Epub 2022 Sep 3.

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.

摘要

背景/目的:心理-免疫-神经内分泌(PINE)网络是一个主要基于生理学(代谢组学)的模型,由文献构建而成,将与重度抑郁症(MDD)相关的多个生物学过程相互关联,从而将 MDD 的潜在机制途径整合到一个单一的网络中。

材料和方法

使用基于 1991-2021 年文献检索的先前发表的 PINE 网络代谢组学途径来构建一个边表,总结起源节点和目标节点对之间的所有生理途径。使用 Gephi 软件程序从边表计算网络度量,包括总度数和中心度度量,以确定关键网络节点并构建有向网络图。

结果

呈现了 PINE 网络中生理关系的边表和有向网络图。该网络具有复杂生物系统的特性,分析得出的关键网络节点包括促炎细胞因子(TNF-α、IL6 和 IL1)、糖皮质激素和促肾上腺皮质激素释放激素(CRH)。这些可能代表 MDD 背景下的中枢结构和调节要素。

结论

鉴定出的枢纽具有高度的连接性,已知在从健康到 MDD 的发展过程中发挥作用。这些节点代表治疗干预或预防的战略目标。需要进一步研究构建 PINE 网络的加权和动态模拟。

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