Beta-naphthoflavone inhibits LPS-induced inflammation in BV-2 cells via AKT/Nrf-2/HO-1-NF-κB signaling axis
Introduction
Neurodegenerative disease, which was caused by loss of a specific neuron or its myelin, is a complex central nervous system disease (Kang et al., 2017; Csencsits-Smith et al., 2016). Such diseases can cause great damage to the physical and mental health of patients, seriously reduce the quality of life of patients, and bring huge economic losses to the family. Accumulating evidence has suggested that the pathogenic mechanism of neurodegenerative disease is associated with several elements, including genetic and environmental factors, physiological aging and oxidative stress (Gitler et al., 2017; He et al., 2018; Manoharan et al., 2016). The specific cause is still unclear. However, evidences have confirmed that mediated inflammation by activated microglia may be integral to the neurodegenerative progression. Activated microglia can produce and release a large number of different neurotoxic factors, including interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), inducible nitric-oxide synthase (iNOS) and cyclooxygenase-2 (COX-2)), which may damage neurons and lead to neurodegenerative disease (Block et al., 2007; Kim et al., 2014; Kim and Joh, 2006; Huang et al., 2018). Thus, suppression of microglia-mediated neuroinflammation could be a useful treatment in neurodegenerative disease.
Beta-naphthoflavone (BNF), derivatived of natural flavonoids has anti-oxidant and anti-inflammatory effects. As the ligands for aromatic hydrocarbon receptors, BNF was widely used in the pharmaceutical industry. Recently, BNF has been reported to protect from peritonitis via decreasing TNF-α-induced endothelial cell activation (Ghanem et al., 2009; Hayashi et al., 2012; Hsu et al., 2015). Moreover, numerous studies have shown that BNF treatment attenuated neonatal hyperoxic lung injury and acute liver injury by inhibiting inflammation of peripheral tissues (Lingappan et al., 2018; Maturu et al., 2017). However, no researches have revealed impacts of BNF on neuroinflammation. Therefore, in this study, our purpose is to investigate whether BNF has an anti-inflammatory impact on neuroinflammation and reveal its anti-neuroinflammatory mechanism.
Section snippets
Materials and reagents
Dimethyl sulfoxide (DMSO) was for measurement of cell viability. 0.25 % trypsin (Carlsbad, CA, USA) can digest the adherent cells (Carlsbad, CA, USA). 10 % fetal bovine serum (O111, Wako, Osaka, Japan) is added to Dulbecco's Modified Eagle's Medium (DMEM) (Gibco, C11995500CP) as a nutrient solution for cell survival. LPS stimulates cells to produce inflammatory response. Tin protoporphyrin IX (SnPP IX) (HO-1 inhibitor) was supplied by Aldrich (St. Louis, Missouri, USA). RNA is extracted using a
Effect of BNF on the survival rate of BV-2 cells
To determine latent toxicity of BNF to BV-2 cells, effect of BNF on BV-2 cells survival rate was explored by CCK-8 assay. We set up six experiment groups, which are control, DMSO and BNF of various concentrations. The results indicated that the concentration of BNF used had no a great influence on BV2 cells survival rate (Fig. 1B).
BNF reduces release of pro-inflammatory mediators (IL-6, TNF-α, iNOS and COX-2) in LPS- exposed BV-2 cells
Activated microglia could produce a mass of the pro-inflammatory cytokines (IL-6, TNF-α) and pro-inflammatory enzymes (iNOS, COX-2), which are closely related with
Discussion
Our results suggested that BNF can prominently inhibit the production and release of pro-inflammatory cytokines (IL-6, TNF-α) and pro-inflammatory enzymes (iNOS, COX-2) in LPS-induced BV-2 cells. Further mechanistic studies found that BNF treatment can activate AKT/Nrf-2/HO-1 signaling pathway and inhibit NF-κB signaling pathway. And our study also found that SnPP IX (a HO-1 inhibitor) can inhibit the effects of BNF on activating NF-κB pathway and producing pro-inflammatory mediators (IL-6,
Compliance with ethical standards
Ethical Approval: This article does not contain any studies with human participants or animals performed by any of the authors. The research accords with current ethical consideration.
Declaration of conflicting interests
The authors state no conflict of interest.
CRediT authorship contribution statement
Xiyu Gao: Conceptualization, Methodology, Data curation, Writing - original draft. Dewei He: Conceptualization, Methodology, Data curation, Writing - original draft. Dianfeng Liu: Conceptualization, Methodology, Data curation, Writing - original draft. Guiqiu Hu: Conceptualization, Methodology, Data curation, Writing - original draft. Yufei Zhang: Data curation, Visualization, Investigation. Tianyu Meng: Data curation, Visualization, Investigation. Yingchun Su: Data curation, Visualization,
Acknowledgments
This work was funded by National Natural Science Foundation of China (project No. 31772547, 31702211) Jilin Scientific and Technological Development Program (project No. 20170623083-04TC) and JLU Science and Technology Innovative Research Team (project No. 201910183×588, 201910183811).
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These authors contributed equally to this work.