Fluoxetine Inhibits NLRP3 Inflammasome Activation: Implication in Depression
- PMID: 27207922
- PMCID: PMC5043644
- DOI: 10.1093/ijnp/pyw037
Fluoxetine Inhibits NLRP3 Inflammasome Activation: Implication in Depression
Abstract
Background: Emerging evidence indicates that NLRP3 inflammasome-induced inflammation plays a crucial role in the pathogenesis of depression. Thus, inhibition of NLRP3 inflammasome activation may offer a therapeutic benefit in the treatment of depression. Fluoxetine, a widely used antidepressant, has been shown to have potential antiinflammatory activity, but the underlying mechanisms remain obscure.
Methods: We used a chronic mild stress model and cultured primary macrophage/microglia to investigate the effects of fluoxetine on NLRP3 inflammasome and its underlying mechanisms.
Results: We demonstrated that fluoxetine significantly suppressed NLRP3 inflammasome activation, subsequent caspase-1 cleavage, and interleukin-1β secretion in both peripheral macrophages and central microglia. We further found that fluoxetine reduced reactive oxygen species production, attenuated the phosphorylation of double-stranded RNA-dependent protein kinase, and inhibited the association of protein kinase with NLRP3. These data indicate that fluoxetine inhibits the activation of NLRP3 inflammasome via downregulating reactive oxygen species-protein kinase-NLRP3 signaling pathway. Correspondingly, in vivo data showed that fluoxetine also suppressed NLRP3 inflammasome activation in hippocampus and macrophages of chronic mild stress mice and alleviated chronic mild stress-induced depression-like behavior.
Conclusions: Our findings reveal that fluoxetine confers an antidepressant effect partly through inhibition of peripheral and central NLRP3 inflammasome activation and suggest the potential clinical use of fluoxetine in NLRP3 inflammasome-driven inflammatory diseases such as depression.
Keywords: NLRP3 inflammasome; depression; double-stranded RNA-dependent protein kinase; fluoxetine; reactive oxygen species.
© The Author 2016. Published by Oxford University Press on behalf of CINP.
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