Antioxidant and Hypoglycemic Ability of Ardisia gigantifolia Stapf Parts

[Objectives]To study the antioxidant and hypoglycemic effects of different parts of Ardisia gigantifolia Stapf.[Methods]The hydroxyl radical scavenging activity,DPPH radical scavenging activity and total antioxidant capacity of ABTS of 75%ethanol extract of A.gigantifolia Stapf and the petroleum ether,ethyl acetate,n-butanol,chloroform and aqueous extract were measured with Vc as positive control.At the same time,acarbose was used as reference substance to determine the inhibitory effect of each polar site onα-glucosidase.[Results]All parts of A.gigantifolia Stapf had antioxidant activity,among which ethyl acetate had the strongest antioxidant activity,and the scavenging rate of hydroxyl radical and DPPH radical was higher than that of positive control.The results showed that petroleum ether,ethyl acetate and chloroform had a good inhibitory effect onα-glucosidase(better than acarbose).[Conclusions]The ethyl acetate part of A.gigantifolia Stapf had the best antioxidant activity and inhibitory effect onα-glucosidase.It provides a basis for further research and development of A.gigantifolia Stapf.

A model simulation on the SARS-CoV-2 Omicron variant containment in Beijing,China

Objective:The Omicron variant of SARS-COV-2 is replacing previously circulating variants around the world in 2022.Sporadic outbreaks of the Omicron variant into China have posed a concern how to properly response to battle against evolving coronavirus disease 2019(COVID-19).Methods:Based on the epidemic data from website announced by Beijing Center for Disease Control and Prevention for the recent outbreak in Beijing from April 22nd to June 8th in 2022,we developed a modified SEPIR model to mathematically simulate the customized dynamic COVID-zero strategy and project transmissions of the Omicron epidemic.To demonstrate the effectiveness of dynamic-changing policies deployment during this outbreak control,we modified the transmission rate into four parts according to policy-changing dates as April 22nd to May 2nd,May 3rd to 11st,May 12th to 21st,May 22nd to June 8th,and we adopted Markov chain Monte Carlo(MCMC)to estimate different transmission rate.Then we altered the timing and scaling of these measures used to understand the effectiveness of these policies on the Omicron variant.Results:The estimated effective reproduction number of four parts were 1.75(95%CI 1.66-1.85),0.89(95%CI 0.79-0.99),1.15(95%CI 1.05-1.26)and 0.53(95%CI 0.48-0.60),respectively.In the experiment,we found that till June 8th the cumulative cases would rise to 132,609(95%CI 59,667-250,639),73.39 times of observed cumulative cases number 1,807 if no policy were implemented on May 3rd,and would be 3,235(95%CI 1,909-4,954),increased by 79.03%if no policy were implemented on May 22nd.A 3-day delay of the implementation of policies would led to increase of cumulative cases by 58.28%and a 7-day delay would led to increase of cumulative cases by 187.00%.On the other hand,taking control measures 3 or 7 days in advance would result in merely 38.63%or 68.62%reduction of real cumulative cases.And if lockdown implemented 3 days before May 3rd,the cumulative cases would be 289(95%CI 211-378),reduced by 84%,and the cumulative cases would be 853(95%CI 578-1,183),reduced by 52.79%if lockdown implemented 3 days after May 3rd.Conclusion:The dynamic COVID-zero strategy might be able to effectively minimize the scale of the transmission,shorten the epidemic period and reduce the total number of infections.