Background:Chronic atrophic gastritis(CAG)is a kind of chronic gastritis with atrophic changes of gastric mucosa. The studies on peripheral blood biomarkers in CAG are rare. Aims:To investigate the methylation of peripheral blood CpG sites in Runx3 gene promoter region in CAG patients. Methods:Eighty-two mild CAG patients,73 moderate to severe CAG patients from June 2013 to May 2014 at Daqing Oilfield General Hospital were enrolled,and 45 patients with normal gastric mucosa were served as controls. The methylation of CpG sites in Runx3 gene promoter region was measured by MALDI-TOF-MS. mRNA expression of Runx3 was determined by fluorescent quantitative PCR,and the protein expression of Runx3 was determined by Western blotting. Results:Compared with the control group and mild CAG group,methylation levels of CpG13,CpG14 and CpG15 sites in Runx3 gene promoter region were significantly increased in moderate to severe CAG group(P < 0. 05),the mRNA and protein expressions of Runx3 were significantly decreased( P < 0. 05). No significant differences in methylation of CpG sites in Runx3 gene promoter region and mRNA and protein expressions of Runx3 were found between mild CAG group and control group( P >0. 05 ). Conclusions:The hypermethylation of peripheral blood CpG13,CpG14 and CpG15 sites in Runx3 gene promoter region can inhibit the expression of Runx3 in CAG patients,and can be used potentially as the biomarker for clinical staging of CAG.

Objective To observe the effects of conductive education on gross motor function and Gesell development test results in children with cerebral palsy.Methods One hundred and thirty-eight children with cerebral palsy were stratified randomly according to the gross motor function classification system (GMFCS) and sexes into two groups:the conductive education group received conductive education combined with general comprehensive rehabilitation,the control group received general comprehensive rehabilitation only.After 4 months of training,the results of both groups in terms of gross motor function and Gesell development test results were compared.Results The GMFCS evaluation results of the 2 groups were compared through covariance analysis (F =4.479,P =0.036 ＜0.05),the result of conductive education group was better than that of control group; in both groups the result after training was superior to that before training.For Gesell development test results comparison,the differences between conductive education group and control group were statistically significant (P ＜ 0.05) ; the result of conductive education group was better than before the training (t =24.93,P =0.00 ＜ 0.05) ; but in control group the difference between the results before and after training was not significant (t =13.34,P ＞ 0.05).Conclusions Conductive education could improve gross motor function and whole body development.

This study was aimed to establish a method for the content determination of three components in Tribulus terrestris L., in order to compare index components of different growing periods, production places and medical parts for the scientific explanation of the harvesting time and growing places. Contents of three effective components inTribulus terrestris L., which were quercetin-3-O-β-D-gentiobioside, isorhamnetin-3-O-β-D-gentiobioside and Terrestrinone A2, were determined by HPLC. The results showed that contents of three evaluation indexes all gradually increased until June and then started reducing. The contents in all evaluated indexes were in the order of the stem and leaf > fruit > root. And the content in the root was below the detection limit. The content indexes ofTribulus terrestris L. of the Inner Mongolia were much higher than that of other regions. It was followed byShandong,Hebei andShanxi province. It was concluded that the method was simple and accurate with good repeatability and stability, which was suitable for quality control ofTribulus terrestris L.

Objective:To analyze the relationship between the cycle threshold ( Ct) values of N gene of COVID-19 cases and the secondary attack risk in close contacts, and identify the relationship between respiratory viral load and infectivity in COVID-19 cases. Methods:The COVID-19 cases with records of Ct values of N gene within 0-7 days of onset were selected, and their close contacts were recruited as the subjects of study. We collected the information of close contacts, including name, gender, age, isolation mode, exposure mode and outcome (whether they were infected with SARS-CoV-2 or not) and other variables. Multivariate logistic regression models were used to identify the relationship between Ct values of N gene of COVID-19 cases and secondary attack risk in close contacts. Results:A total of 1 618 close contacts were recruited, in whom 77 were confirmed as symptomatic or asymptomatic COVID-19 patients with overall secondary attack rate of 4.8%. The multivariate logistic regression analysis indicated that eating together ( OR=2.741, P=0.054), living together ( OR=9.721, P<0.001), non-centralized isolation ( OR=18.437, P<0.001) and COVID-19 case's values of N gene within 0-7 days of onset being <20 ( OR=8.998, P=0.004) or 20-25 ( OR=3.547, P=0.032) were significantly associated with higher likelihood of being infected with SARS-CoV-2 in close contacts. Conclusion:The results indicated that positive relationship exists between respiratory viral load and infectivity in COVID-19 cases, suggesting that Ct values of N gene can be used as an early warning indicator for the management of close contacts of COVID-19 cases.

Objective To calculate both the epidemic and intensity thresholds for different levels in Beijing and to establish a tiered alert system in the 2018-2019 influenza season as well as to evaluate the performance of calculated thresholds.Method Weekly count of influenza-like illness and percentage of influenza-like illness (ILI％) of the last five influenza seasons were modeled by 'moving epidemic method'(MEM) to calculate the influenza epidemic and intensity thresholds at different levels.A cross-validation procedure was used to evaluate the performance.Indicators of Matthew correlation coefficient,Youden's index,sensitivity and specificity were calculated.Results For weekly count of influenza-like illness,data showed that the epidemic threshold for 2018-2019influenza season was 12 984 and the medium,high and very high intensity thresholds were 22 503,37 589,47 157,respectively.Matthew correlation coefficient of the epidemic threshold was 62％ and youden's index as 60％,sensitivity as 69％,specificity as 91％.Data on weekly ILI％,the epidemic threshold for 2018-2019 influenza season was 1.66％,with medium,high and very high intensity thresholds as 2.46％,3.84％ and 4.66％,respectively.The overall Matthew correlation coefficient of the epidemic threshold was 59％,with 54％ for the Youden's index,sensitivity as 60％ and specificity as 94％.Conclusions MEM produced a good specific signal for detecting the influenza epidemics and the accuracy of the method was acceptable.The early warning performance regarding the application of weekly count on influenza-like illness was slightly better than ILI％.This method could be applied in the practical influenza epidemic alert "work in Beijing".

Objective:To analyze epidemiological characteristics of influenza in Beijing during 2015—2020 influenza seasons.Methods:Weekly numbers of cases with influenza-like illness and weekly data of virologic surveillance was used to analyze epidemic trend and characteristics of influenza.Results:From June 26, 2015 to June 28, 2020, influenza-like illness (ILI) was 1.58%. A total of 49868 pharyngeal swab samples were collected from ILI cases, and positive rate of influenza virus nucleic acid was 16.32% by real-time PCR. Of these positive samples, 40.89% (6 474) were A(H3N2), 27.86% (4 410) were A (H3N2), 20.78% (3 290) were B/Victoria lineage, and 10.09%(1597) were B/Yamagata lineage. There were correlation between ILI and positive rate of influenza virus ( r=0.796, P<0.001), and ILI percentage and positive rate were also correlated ( r=0.808, P<0.001). The active duration in 2018—2018, 2018—2019 influenza seasons were longer. Weekly numbers of influenza-like illness cases of 2017—2018, 2018—2019 influenza seasons were higher (49 628 and 71 555), peak value of positive rate in the above seasons was higher (58.51% and 57.08%). Conclusions:The epidemic characteristics of influenza during 2015—2020 years was in accordance with the temperate regions of the northern hemisphere. There were longer active period and higher epidemic level in 2017—2018, 2018—2019 influenza seasons. The dominant influenza virus subtypes varied in the different seasons.

COVID-19 ; China/epidemiology* ; Disease Outbreaks ; Humans ; SARS-CoV-2