Objective:To Review the study progresses in triterpenes of poria cocos of effective ingredients its pharmacology and biological activity.Methods:The study progresses were reviewed on the basis of summinmg up and analying the collected articles.Results:Poria cocos has types of triterpenes including more than thirty kinds of the mical components. Different tritepenes showed different effects of anti tumour, anti inflammation and immunity.Conclusion:The resources of Poria cocos are rich in China. It is worthy of exploiting and utilizing Poria cocos in conjunction with the achievement in modern chemistry and pharmacology studies.

Constriction, Pathologic ; Humans ; Vascular Diseases

The objective of the present study was to establish a novel rapid fluorescence focus inhibition test (RFFIT GFP)for the detection of rabies virus antibody, in which a chimeric rabies virus expressing green fluorescent protein (HEP GFP) was used as the basic virus strain in RFFIT GFP assay, and a few serum samples from human, dog and cat were detected by this new method .The optimal serum dilution, virus dosage and infection time were determined in 24 serum samples from human, dog and cat by using RFFIT GFP, RFFIT and ELISA assays. The result showed that these 3 methods gave a good consistency. But RFFIT GFP was found to be more convenient and economic for the detection of rabies virus antibody.

The size of the non-sampling error is directly related to the accuracy and reliability of the sampling survey result. This paper studied the non-sampling errors generated during the sampling process of the China National Human Biomonitoring Program(CNBP), mainly including the sampling frame error, non-response error and measurement error. The program reduced the influence of the non-sampling error on the quality of the survey effectively by scientifically designing the sampling scheme and questionnaire, strengthening investigator trainings and standardizing the data review, which could be used to provide reference for the control of non-sampling errors in public health monitoring projects in China.

Background/Aims: The utility of Baveno-VII criteria of clinically significant portal hypertension (CSPH) to predict decompensation in compensated advanced chronic liver disease (cACLD) patient needs validation. We aim to validate the performance of CSPH criteria to predict the risk of decompensation in an international real-world cohort of cACLD patients. Methods: cACLD patients were stratified into three categories (CSPH excluded, grey zone, and CSPH). The risks of decompensation across different CSPH categories were estimated using competing risk regression for clustered data, with death and hepatocellular carcinoma as competing events. The performance of “treating definite CSPH” strategy to prevent decompensation using non-selective beta-blocker (NSBB) was compared against other strategies in decision curve analysis. Results: One thousand one hundred fifty-nine cACLD patients (36.8% had CSPH) were included; 7.2% experienced decompensation over a median follow-up of 40 months. Non-invasive assessment of CSPH predicts a 5-fold higher risk of liver decompensation in cACLD patients (subdistribution hazard ratio, 5.5; 95% confidence interval, 4.0–7.4). “Probable CSPH” is suboptimal to predict decompensation risk in cACLD patients. CSPH exclusion criteria reliably exclude cACLD patients at risk of decompensation, regardless of etiology. Among the grey zone, the decompensation risk was negligible among viral-related cACLD, but was substantially higher among the non-viral cACLD group. Decision curve analysis showed that “treating definite CSPH” strategy is superior to “treating all varices” or “treating probable CSPH” strategy to prevent decompensation using NSBB. Conclusions Non-invasive assessment of CSPH may stratify decompensation risk and the need for NSBB in cACLD patients.

Objective To assess the association between the concentration of the air pollutant PM2.5 and daily outpatient visits for respiratory disease. Methods All records of daily outpatient visits to three hospitals in Shenzhen from January 1 to December 31, 2013 were collected. Daily air pollution monitoring and meteorology data from the same period were also collected in Shenzhen. The data were analyzed using a semiparametric generalized additive model with Poisson distribution of time series analysis controlling for long-term and seasonal trends, flu, DOW, public holidays, and meteorological factors. The excess risk (ER) of respiratory disease and its 95%CI value were calculated, along with the incremental increase of 10 μg/m3 in PM2.5 concentration. Results Number of outpatient visits for respiratory diseases totaled 1 428 672 (daily range:1 790-5 228). The annual average PM2.5 concentration was 40.2μg/m3 (daily range:7.2-137.1μg/m3). The lag1 factor had the most significant impact on the lag effect. We estimated that a 10 μg/m3 increase in day-before PM2.5 concentration was associated with a 1.809% (95% CI:1.709%-1.909%) ER of visits for respiratory disease. After controlling for other pollutants (NO2, CO, and O3), the effect remained stable. When NO2, CO, and O3 were introduced separately, for every 10μg/m3 rise in PM2.5 concentration, the excess risk of daily outpatient visits for respiratory disease was 1.814% (95% CI:1.706%-1.923%), 2.780% (95% CI: 2.668%-2.892%), and 1.513% (95% CI: 1.403%-1.624%), respectively. With simultaneous control of NO2 and O3, NO2 and CO, and CO and O3, for every 10μg/m3 rise in PM2.5 concentration, the excess risk of respiratory disease was 1.369% (95% CI: 1.242%-1.497%), 2.709% (95% CI: 2.590%- 2.828% ), and 2.577% (95% CI: 2.452%- 2.702% ), respectively. With simultaneous control of NO2, CO, and O3, for every 10μg/m3 rise in PM2.5 concentration, the excess risk of respiratory disease was 2.370% (95% CI: 2.231%-2.509%). Conclusions PM2.5 can increase the risk of outpatient visits for respiratory disease in Shenzhen.

Objective To assess the association between the concentration of the air pollutant PM2.5 and daily outpatient visits for respiratory disease. Methods All records of daily outpatient visits to three hospitals in Shenzhen from January 1 to December 31, 2013 were collected. Daily air pollution monitoring and meteorology data from the same period were also collected in Shenzhen. The data were analyzed using a semiparametric generalized additive model with Poisson distribution of time series analysis controlling for long-term and seasonal trends, flu, DOW, public holidays, and meteorological factors. The excess risk (ER) of respiratory disease and its 95%CI value were calculated, along with the incremental increase of 10 μg/m3 in PM2.5 concentration. Results Number of outpatient visits for respiratory diseases totaled 1 428 672 (daily range:1 790-5 228). The annual average PM2.5 concentration was 40.2μg/m3 (daily range:7.2-137.1μg/m3). The lag1 factor had the most significant impact on the lag effect. We estimated that a 10 μg/m3 increase in day-before PM2.5 concentration was associated with a 1.809% (95% CI:1.709%-1.909%) ER of visits for respiratory disease. After controlling for other pollutants (NO2, CO, and O3), the effect remained stable. When NO2, CO, and O3 were introduced separately, for every 10μg/m3 rise in PM2.5 concentration, the excess risk of daily outpatient visits for respiratory disease was 1.814% (95% CI:1.706%-1.923%), 2.780% (95% CI: 2.668%-2.892%), and 1.513% (95% CI: 1.403%-1.624%), respectively. With simultaneous control of NO2 and O3, NO2 and CO, and CO and O3, for every 10μg/m3 rise in PM2.5 concentration, the excess risk of respiratory disease was 1.369% (95% CI: 1.242%-1.497%), 2.709% (95% CI: 2.590%- 2.828% ), and 2.577% (95% CI: 2.452%- 2.702% ), respectively. With simultaneous control of NO2, CO, and O3, for every 10μg/m3 rise in PM2.5 concentration, the excess risk of respiratory disease was 2.370% (95% CI: 2.231%-2.509%). Conclusions PM2.5 can increase the risk of outpatient visits for respiratory disease in Shenzhen.

Objective:To investigate the association between oxygen saturation (SpO 2) and risk of 3-year all-cause mortality among Chinese older adults aged 65 or over. Methods:The participants were enrolled from Healthy Aging and Biomarkers Cohort Study in year of 2012 to 2014 in 9 longevity areas in China. In this prospective cohort study, 2 287 participants aged 65 or over were enrolled. Data on SpO 2 and body measurements were collected at baseline in 2012, and data on survival outcome and time of mortality were collected at the follow-up in 2014. Participants were divided into two groups according to whether SpO 2 was abnormal (SpO 2<94% was defined as abnormal). Results:The 2 287 participants were (86.5±12.2) years old, 1 006 were males (44.0%), and 315 (13.8%) were abnormal in SpO 2. During follow-up in 2014, 452 were died, 1 434 were survived, and 401 were lost to follow-up. The all-cause mortality rate was 19.8%, and the follow-up rate was 82.5%. The mortality rate of SpO 2 in normal group was 21.1%, and that of abnormal group was 41.6% ( P<0.001). After adjusting for confounding factors, compared to participants with normal SpO 2, participants with abnormal SpO 2 had increased risk of all-cause mortality with HR (95% CI) of 1.62 (1.31-2.02); HR (95 % CI) was 1.49 (0.98-2.26) for males and 1.71 (1.30-2.26) for females in abnormal SpO 2group, respectively; HR (95% CI) was 2.70 (0.98-7.44) for aged 65-79 years old, 1.22 (0.63-2.38) for aged 80-89 years old, and 1.72 (1.35-2.19) for aged over 90 years old in abnormal SpO 2 group, respectively. Conclusion:Abnormal SpO 2 was responsible for increased risk of 3-year all-cause mortality among Chinese elderly adults.

Objective:To investigate the association between oxygen saturation (SpO 2) and risk of 3-year all-cause mortality among Chinese older adults aged 65 or over. Methods:The participants were enrolled from Healthy Aging and Biomarkers Cohort Study in year of 2012 to 2014 in 9 longevity areas in China. In this prospective cohort study, 2 287 participants aged 65 or over were enrolled. Data on SpO 2 and body measurements were collected at baseline in 2012, and data on survival outcome and time of mortality were collected at the follow-up in 2014. Participants were divided into two groups according to whether SpO 2 was abnormal (SpO 2<94% was defined as abnormal). Results:The 2 287 participants were (86.5±12.2) years old, 1 006 were males (44.0%), and 315 (13.8%) were abnormal in SpO 2. During follow-up in 2014, 452 were died, 1 434 were survived, and 401 were lost to follow-up. The all-cause mortality rate was 19.8%, and the follow-up rate was 82.5%. The mortality rate of SpO 2 in normal group was 21.1%, and that of abnormal group was 41.6% ( P<0.001). After adjusting for confounding factors, compared to participants with normal SpO 2, participants with abnormal SpO 2 had increased risk of all-cause mortality with HR (95% CI) of 1.62 (1.31-2.02); HR (95 % CI) was 1.49 (0.98-2.26) for males and 1.71 (1.30-2.26) for females in abnormal SpO 2group, respectively; HR (95% CI) was 2.70 (0.98-7.44) for aged 65-79 years old, 1.22 (0.63-2.38) for aged 80-89 years old, and 1.72 (1.35-2.19) for aged over 90 years old in abnormal SpO 2 group, respectively. Conclusion:Abnormal SpO 2 was responsible for increased risk of 3-year all-cause mortality among Chinese elderly adults.

Background::The heavy metals cadmium (Cd) and mercury (Hg) are known to be widespread environmental contaminants and high occupational exposure adversely affects the risk of chronic kidney disease (CKD). However, evidence from epidemiological studies linking low Cd and Hg exposure (or non-industrial) to the risk of progression to CKD are conflicting. This study aimed to explore the association of low Cd and Hg exposure with the risk of CKD in Chinese adults aged ≥80 years.Methods::The participants were recruited for the Healthy Aging and Biomarkers Cohort Study in 2017, an ongoing perspective survey conducted in longevity areas in China initially involving 3016 older adults. We used logistic regression models to estimate odds ratios (ORs) with 95% confidence intervals of CKD setting Cd and Hg as categorical variables. Logistic regression with restricted cubic spline was used to characterize a dose-response relationships between Cd or Hg concentrations and the risk of CKD in the study population.Results::The ORs for the risk of CKD comparing the fourth to the first quartile of blood Cd, blood Hg, urine Cd, and urine Hg were 1.77, 1.57, 2.03, and 1.50, respectively. Restricted cubic spline models showed that blood Cd and urine Hg were significantly linearly correlated with the risk of CKD, while blood Hg and urine Cd were non-linearly correlated with the risk of CKD with a steeper slope at concentrations <2.30 μg/L and 3.30 μg/g creatinine.Conclusions::Our findings suggest that even low Cd and Hg exposure (or non-industrial) were associated with increased risk of CKD in Chinese oldest old, although we did not find a significant multiplicative and additive interaction between Cd and Hg levels in relation to the risk of CKD.