Objective To investigate the effects of hydrogen on post - cardiac arrest brain injury in rabbits.Method Sixty New Zealand rabbits were randomly divided into two groups,namely experiment group ( group A,n =30 ) and control group ( group B,n =30 ).Inhalation of 2％ hydrogen gas was conferred to rabbits immediately at the end of cardiac arrest modeling for 72 hours in the group A. Air instead was given to rabbits in the group B.Blood samples were collected before cardiac arrest (CA),and 4,12,24 and 72 hours after restoration of spontaneous circulation (ROSC) in all rabbits for determining the levels of hydrogen,tumor necrosis factor - α ( TNF - α),neuron - specific enolase (NSE) and protein S100β.At the same time,rectal temperature,mean arterial pressure,heart rate and respiration rate were recorded,and the neurologic deficit scoring (NDS) was carried out.The rate of systemic inflammatory response syndrome ( SIRS ) and the rate of survival of rabbits were analyzed. Results There was no significant difference in level of TNF - α activation between group A and group B within12 h of cardiopulmonary resuscitation (CPR).In group A,TNF - α level and the rate of SIRS peaked at 24 hours after CPR,which were higher than those in group B,and then decreased gradually,and the rate of survival was higher than that in group B in 72 hours after ROSC,the NSE was lower than that in group B at 24 hours after ROSC.In group B,S100β level began to increase significantly 4 hours after CPR,which was higher than that in group A,the level of NDS in group B was higher than that in group A 72 hours after ROSC.Conclusions Inhalation of hydrogen gas lessened inflammation and alleviated the brain injury after CPR.

【Objective】 To explore the effect of Zhikepipa Mixture on the treatment of COVID-19 through network pharmacology analysis and molecular docking technology. 【Methods】 First, we performed the network pharmacology method to screen active compounds and targets so as to explore the mixture’s potential mechanisms in the treatment of COVID-19. In line with ADME screening index, like oral bioavailability (OB) ≥30% or drug likeness index (DL) ≥0.18, the active compounds against COVID-19 related targets were selected to construct the 'herb-compound-target’ network. Mechanism prediction of Zhikepipa mixture in the treatment of COVID-19 was analyzed by the interaction of the target sites, the bioinformatic annotation, and the metabolic pathway. Then, we used a molecular docking model to evaluate the binding ability between active compounds and 2019-nCoV (SARS-CoV-2) 3-chymotrypsin-like cysteine protease (3CL^pro) receptor-binding domain (PBD ID 6LU7), which was involved in mediating viral replication and transcription functions. 【Results】 The'herb-compound-target’ network showed 34 key compounds and 30 disease targets after overlapping with disease targets. The network topology analysis showed that those selected compounds with higher degree would produce marked anti-inflammatory effects by regulating 30 targets like PTGS1, IL1B, IL6, IL10, CXCL8 and JUN. AGE-RAGE signaling pathway, IL-17 signaling pathway, TNF signaling pathway, PI3K-Akt signaling pathway, and MAPK signaling pathway were involved in regulating hepatitis B and diabetic complications. In addition, Folium eriobotryae and Radix stemonae played important roles in the network. The molecular docking results showed that nine compounds were identified with higher docking score rank against 2019-nCoV 3CL^pro protease, and most of them were attributed to flavonoids. 【Conclusion】 Zhikepipa Mixture could exhibit both anti-inflammatory and anti-virus actions through multi-component, multi-target, and multi-pathway.