Ganoderterpene A, a New Triterpenoid from Ganoderma lucidum, Attenuates LPS-Induced Inflammation and Apoptosis via Suppressing MAPK and TLR-4/NF-κB Pathways in BV-2 Cells.
Rong-Wei KouYu-Qi GaoBing XiaJia-Yun WangXiao-Ning LiuJiang-Jiang TangXia YinJin-Ming GaoPublished in: Journal of agricultural and food chemistry (2021)
An investigation of the fruiting bodies of edible mushroom Ganoderma lucidum produced 13 steroids, containing one new lanostane-type triterpene compound, named ganoderterpene A (1). Nuclear magnetic resonance and high-resolution electrospray ionization mass spectrometry data were used to deduce these structures. All the isolates were evaluated for their ability to suppress NO generation in BV-2 microglial cells treated with lipopolysaccharide (LPS) and exhibited moderate to strong inhibition effects, with IC50 values in the range 7.15-36.88 μM. Among the tested compounds, compound 1 exhibited the most marked activity with an IC50 value of 7.15 μM, and the structure-activity relationships were studied. This study showed that compound 1 significantly suppressed the activation of MAPK and TLR-4/NF-κB signaling pathways, as evidenced by an immunofluorescence assay and a molecular docking experiment. Furthermore, compound 1 effectively improved the LPS-induced mitochondrial membrane potential and apoptosis. These findings suggest that ganoderterpene A could exert protective effects in microglial cells from apoptosis by restraining the inflammatory response. Hence, G. lucidum could be used as a novel preventative agent for neurodegenerative disorders.
Keyphrases
- lps induced
- inflammatory response
- cell cycle arrest
- pi k akt
- oxidative stress
- signaling pathway
- induced apoptosis
- lipopolysaccharide induced
- toll like receptor
- cell death
- molecular docking
- high resolution
- endoplasmic reticulum stress
- magnetic resonance
- mass spectrometry
- cell proliferation
- epithelial mesenchymal transition
- immune response
- magnetic resonance imaging
- high throughput
- gas chromatography
- molecular dynamics simulations
- climate change
- electronic health record
- risk assessment
- genetic diversity
- artificial intelligence
- ms ms
- nuclear factor
- newly diagnosed
- deep learning