A Neuropeptide Y/F-like Polypeptide Derived from the Transcriptome of Turbinaria peltata Suppresses LPS-Induced Astrocytic Inflammation.
Qian ChenZirong LiangQian YueXiufen WangShirley Weng In SiuMaggie Pui Man HoiSimon Ming Yuen LeePublished in: Journal of natural products (2022)
Neuropeptides are a group of neuronal signaling molecules that regulate physiological and behavioral processes in animals. Here, we used in silico mining to predict the polypeptide composition of available transcriptomic data of Turbinaria peltata . In total, 118 transcripts encoding putative peptide precursors were discovered. One neuropeptide Y/F-like peptide, named TpNPY, was identified and selected for in silico structural, in silico binding, and pharmacological studies. In our study, the anti-inflammation effect of TpNPY was evaluated using an LPS-stimulated C8-D1A astrocyte cell model. Our results demonstrated that TpNPY, at 0.75-3 μM, inhibited LPS-induced NO production and reduced the expression of iNOS in a dose-dependent manner. Furthermore, TpNPY reduced the secretion of proinflammatory cytokines. Additionally, treatment with TpNPY reduced LPS-mediated elevation of ROS production and the intracellular calcium concentration. Further investigation revealed that TpNPY downregulated the IKK/IκB/NF-κB signaling pathway and inhibited expression of the NLRP3 inflammasome. Through molecular docking and using an NPY receptor antagonist, TpNPY was shown to have the ability to interact with the NPY Y1 receptor. On the basis of these findings, we concluded that TpNPY might prevent LPS-induced injury in astrocytes through activation of the NPY-Y1R.
Keyphrases
- lps induced
- molecular docking
- inflammatory response
- single cell
- nlrp inflammasome
- signaling pathway
- poor prognosis
- molecular dynamics simulations
- rna seq
- oxidative stress
- binding protein
- toll like receptor
- reactive oxygen species
- pi k akt
- gene expression
- anti inflammatory
- long non coding rna
- genome wide
- epithelial mesenchymal transition
- induced apoptosis
- machine learning
- nitric oxide synthase
- mesenchymal stem cells
- big data
- transcription factor
- dna binding
- combination therapy
- deep learning
- data analysis
- cell proliferation
- blood brain barrier
- subarachnoid hemorrhage