AIM　To determine the effects of glycoconjugates and their glycans from Lycium barbarum L. on inhibiting low density lipoprotein (LDL) peroxidation. METHODS　Using Cu2+-induced oxidation as a model, the oxidative production of thiobarbituric acid-reactive substances (TBARS) and the LDL electrophoresis migration on agarose gel were measured. RESULTS　The effects of glycoconjugates and their glycans from Lycium barbarum L. on inhibiting LDL peroxidation were different, among them, glycoconjugate LbGp5 showed the best effect on inhibiting LDLperoxidation. CONCLUSION　The glycoconjugates can inhibit LDL peroxidatin while their glycans showed no effects on inhibiting LDL peroxidation.

ObjectiveTo explore the exposure-lag-response relationship between temperature and risk of varicella incidence，and to provide a scientific evidence for early warning and precise prevention and control of varicella epidemic. MethodsDaily varicella cases and daily meteorological data were collected in Minhang District， Shanghai from 2010 to 2022. A distributed lag nonlinear model was used to determine the exposure-lag-response relationship between temperature and risk of varicella incidence. Furthermore， effect of temperature on the incidence risk was determined across different age groups. ResultsIn 2010‒2022， the total number of notified varicella cases was 26 207 in Minhang District， with the highest incidence in the group aged 3‒14 years （50.35%）. The seasonal pattern of daily varicella cases showed a double peak. The large peak was found in November and December， followed by a smaller peak in May and June. Moreover， the distributed lag nonlinear model showed a unimodal curve in the relationship between temperature and varicella incidence. The RR value reached its maximum peak of 1.90 （95%CI： 1.25‒2.87） at 7 ℃. A reverse U-shape was found in the lag-response curves between temperature and varicella incidence. Furthermore， the effect of temperature on the varicella incidence showed a unimodal pattern in the varicella cases aged 3‒14 years. The RR value reached its peak at 11 ℃ （RR=2.89， 95%CI： 1.33‒6.24）. In contrast， the effect of temperature on the varicella incidence in the cases aged 15 years and above showed a unimodal pattern， with RR value reaching the peak at 5 ℃ （RR=2.14， 95%CI： 1.33‒3.44）. ConclusionThe unimodal curve is found in the relationship between temperature and varicella incidence. Low temperature is associated with increased risk of varicella incidence. Children aged 3‒14 years are more susceptible to the effect of temperature on the varicella incidence.