Zhang, Sha; Jiang, Mingchen; Yan, Shuxia; Liang, Miaomiao; Wang, Wei; Yuan, Bin; Xu, Qiuyue published the artcile< Network pharmacology-based, experimental identification of the effects of paeoniflorin on major depressive disorder>, Application of C19H34O2, the main research area is major depressive disorder paeoniflorin; experimental verification; major depressive disorder; network pharmacology; paeoniflorin; treatment targets.
Major depressive disorder (MDD) is one of the most common psychiatric disorders, the diagnosis, treatment of MDD are major clin. issues. However, there is a lack of effective biomarkers, drugs diagnosis, therapeutics of MDD. In the present study, bioinformatics anal. combined with an exptl. verification strategy was used to identify biomarkers, paeoniflorin targets for MDD diagnosis, treatment. Based on network pharmacol., we obtained potential targets, pathways of paeoniflorin as an antidepressant through multiple databases. We then constructed a protein-protein interaction network, performed enrichment analyses. According to the results, we performed in vivo, in vitro exptl. validation. The results showed that paeoniflorin may exert an antidepressant effect by regulating cell inflammation, synaptic function, NF-κB signaling pathway, intestinal inflammation. NPM1, HSPA8, HSPA5, HNRNPU, TNF are the targets of paeoniflorin treatment. In addition, we demonstrated that paeoniflorin inhibits inflammatory cytokine production via the p38MAPK/NF-κB pathway, has neuroprotective effects on the synaptic structure. Our findings provide valuable evidence for the diagnosis, treatment of MDD.
Frontiers in Pharmacology published new progress about Antidepressants. 112-63-0 belongs to class esters-buliding-blocks, and the molecular formula is C19H34O2, Application of C19H34O2.
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