Extraction and bioactivity analysis of total protein of K326 tobacco leaves with high expression of Nicotiala alata defensin 1 gene / 中国生物制品学杂志

@#Objective To extract the total protein of K326 tobacco leaves with high expression of Nicotiana alata defensin 1(NaD1) gene and analyze its bioactivity.Methods Total proteins were extracted from Nicotiana alata flowers,wild type(WT) and K326 tobacco leaves(transgenic) with high expression of NaD1 gene,and determined for the concentrations by Bardford method,while for the antibacterial activity against fungi by filter paper method,and for the inhibition activity on cancer cells(HeLa cells) by CCK-8.Results The total protein concentrations of Nicotiana alata flowers,WT and transgenic K326 tobacco leaves were 11.25,10.33 and 10.14 mg/mL,respectively.The antibacterial activity of total protein from transgenic K326 tobacco leaves against Candida albicans was(85.68±3.08)%,which was 1.33 and 1.14 times that of total protein from WT K326 tobacco leaves and Nicotiana alata flowers,respectively(F=15 339,P <0.05);The antibacterial activity against Fusarium oxysporum was(148.48±2.47)%,which was 1.09 and 1.08 times that of total protein from WT K326tobacco leaves and Nicotiana alata flowers,respectively(F=4.927,P <0.05).The IC_(50) value of transgenic K326 tobacco leaf protein on HeLa cells was the smallest(6.11 mg/mL),and the inhibitory activity was 1.56 and 1.21 times that of total protein of WT K326 tobacco leaves and Nicotiana alata flowers,respectively(F=89.748,P <0.05).Conclusion The total protein of K326 tobacco with high expression of NaD1 gene has good antibacterial and anticancer bioactivities,which provides an experimental basis for producing antibacterial and anticancer biological agents with tobacco as bioreactor.

Underreporting deaths in public health surveillance areas of Zhejiang Province / 预防医学

Objective@#To understand the underreporting rate of death among residents in Zhejiang Province from 2016 to 2018, so as to provide a basis for improvement of death surveillance measures. @*Methods@#Multi-stage random cluster sampling was used to select residents in 30 public health surveillance areas of Zhejiang Province and all the residents were investigated the general information and death conditions that occurred during the period 2016-2018 by door to door visit. The underreporting rate of death was calculated and descriptive methods were used to analyze the causes of underreporting deaths.@*Results@#A total of 358 992 residents were investigated in 30 public health surveillance areas of Zhejiang Province. There were 63 underreporting deaths among 5 896 deaths, with an underreporting rate of 1.07%. The underreporting rate in men was 1.30%, which was higher than 0.75% in women ( P<0.05 ). The underreporting rate of residents aged 20 to <40 years was 6.74%, the highest among all the age groups ( P<0.05 ). The underreporting rate was 4.46% on the way to the hospital, the highest among all the places of death ( P<0.05 ). The underreporting rate in Wuxing District of Huzhou was 5.80%, the highest among all the surveillance areas. There were 25 cases of "late report or untimely review", accounting for 39.68%; 38 cases of "not report", accounting for 60.32%, of which 14 cases were caused by doctors forgetting to report, accounting for 22.22%. @*Conclusion@#The underreporting rate of death in Zhejiang Province from 2016 to 2018 is generally low. In response to underreporting deaths, multi-departmental collaboration should be promoted to effectively strengthen the reporting and management of routine death surveillance.

Association between alcohol consumption and hypertensionin adults of Zhejiang Province / 预防医学

Objective @#To explore the relationship between alcohol consumption and hypertension in adults of Zhejiang Province, so as to provide scientific evidence for the prevention and control of hypertension. @*Methods@#Data were collected from 10 national surveillance sites in Zhejiang Province in the 2018 China Chronic Disease and Risk Factors Surveillance. The multivariate logistic regression model was used to explore the relationship between alcohol consumption and hypertension in adults of Zhejiang Province. @*Results @#Among 5 908 people included, 2 641 were males, accounting for 50.38%; and 3 267 were females, accounting for 49.62%. There were 2 721 cases of hypertension ( 28.54% ). The number of the cases with no, light and excessive alcohol consumption was 3 945, 1 117 and 846, accounting for 66.28%, 23.65% and 10.07%, respectively, after complex sampling weighting. The results of the multivariate logistic regression model showed that compared with those with no alcohol consumption, the adults with excessive alcohol consumption had higher risk of hypertension ( OR=2.126, 95%CI: 1.649-2.741 ); men with light ( OR=1.875, 95%CI: 1.075-3.270 ) and excessive alcohol consumption ( OR=2.752, 95%CI: 2.021-3.748 ) had higher risk of hypertension; the 18-<45-year-old adults with light ( OR=2.441, 95%CI: 1.171-5.087 ) and excessive alcohol consumption ( OR=3.368, 95%CI: 1.609-7.049 ), and the ≥60-year-old adults with excessive alcohol consumption ( OR=1.632, 95%CI: 1.174-2.269 ) had higher risk of hypertension. @*Conclusions @#Light and excessive alcohol consumption are associated with hypertension in Zhejiang adults. The association is stronger between excessive alcohol consumption and hypertension than between light alcohol consumption and hypertension.

Dietary patterns and thyroid cancer: a case-control studyin Hangzhou residents / 预防医学

Objective @#To learn the association between dietary patterns and thyroid cancer in Hangzhou residents, and to provide evidence for thyroid cancer prevention.@*Methods@#The newly diagnosed patients with thyroid cancer in Zhejiang Cancer Hospital were selected as the case group, while the healthy population matched (1∶1) by gender, age and residence were selected from community as the control group. A questionnaire survey was conducted to obtain demographic characteristics, disease history, dietary intake, lifestyle and other information. The dietary patterns were established by factor analysis. The multivariate conditional logistic regression model was conducted to explore the relationship between different dietary patterns and thyroid cancer.@*Results@#A total of 258 pairs of cases and controls were recruited. Five dietary patterns were obtained, including vegetarian pattern, high-protein food pattern, salted vegetables and algae pattern, seafood and cereal pattern, as well as alcohol and tea pattern. The multivariate conditional logistic regression analysis suggested seafood and cereal pattern might reduce the risk of thyroid cancer (OR=0.286, 95%CI: 0.146-0.561).@*Conclusion@#More consumption of seafood and cereal may decrease the incidence of thyroid cancer.