MicroNAR-194-5p hinders the activation of NLRP3 inflammasomes and alleviates neuroinflammation during intracerebral hemorrhage by blocking the interaction between TRAF6 and NLRP3.

The possible role of miR-194-5p in brain and neurodegenerative diseases has been reported, but its role in intracerebral hemorrhage (ICH) has not been studied. This study estimated the mechanism of miR-194-5p in ICH. ICH rat model was established by injecting collagenase type VII. miR-194-5p expression in brain tissue of ICH rats was overexpressed by injection of miR-194-5p agomir. Then neurological function score and brain water content were measured. The morphological changes of brain tissue and neuronal apoptosis were evaluated by histological staining. Levels of NLRP3 inflammasomes, IL-1ß and IL-18 were measured. The target relation between miR-194-5p and TRAF6 was verified and the binding of TRAF6 to NLRP3 was explored. miR-194-5p was decreased in ICH rats. After overexpression of miR-194-5p, the neuropathological injury in ICH rats was significantly reduced, and NLRP3-mediated inflammatory injury was inhibited. miR-194-5p targeted TRAF6. TRAF6 interacted with NLRP3 to promote the activation of NLRP3 inflammasomes. Overexpression of miR-194-5p reduced the interaction between TRAF6 and NLRP3, thereby alleviating the neuroinflammation. Collectively, overexpression of miR-194-5p reduced the TRAF6/NLRP3 interaction, thus inhibiting the activation of NLRP3 inflammasomes and reducing neuroinflammation during ICH. This study may shed new light on ICH treatment.

[Study on mechanism of Guilu Erxianjiao in treatment of post-traumatic stress disorder based on network pharmacology].

The aim of this paper was to predict the multi-compound, multi-target and multi-pathway mechanism of Guilu Erxianjiao in treating post-traumatic stress disorder(PTSD) based on network pharmacology. Active compounds and corresponding targets of Guilu Erxianjiao were obtained from TCMSP, BATMAN-TCM, Chemistry and DrugBank database, and known therapeutic targets of PTSD were obtained from OMIM, TTD and DisGeNET Database. The protein interaction network of compound-disease was then built by combining with the STRING Database. Topological parameters of the network were analyzed by Cytoscape 3.6.0 to get key active compounds and their targets. The GO biological process analysis and KEGG pathway analysis of the key targets were conducted. Based on the results of KEGG, the "compound-target-pathway" network was built by Cytoscape 3.6.0 and the results were verified by SystemsDock online molecular docking tool. The prediction results showed that there were 67 active compounds and 420 targets for Guilu Erxianjiao, and 206 known PTSD-related therapeutic targets. Besides, 66 targets, 58 terms and 22 pathways were obtained from Cytoscape 3.6.0 topological parameters analysis, GO biological process analysis, and KEGG pathway analysis, respectively. Molecular docking results showed that both target with the maximum degree value and common targets of PTSD and Guilu Erxianjiao in the pathway can be effectively combined with their corresponding active compounds through molecular docking. The results suggested that Guilu Erxianjiao could exert anti-PTSD effect by regulating synaptic plasticity, anti-apoptotic, anti-inflammatory and promoting fear memory extinction through pathways such as LTP, PI3 K/Akt/mTOR, TNF, serotonergic synapse and dopaminergic synapse. This study provides a theoretical basis for further elucidating pharmacological mechanisms of Guilu Erxianjiao in treating PTSD.