1.Effect of air pollution on mortality among residents in Hangzhou City
Chaokang LI ; Kemi GONG ; Ye LÜ ; Shanshan XU ; Na LÜ ; Chun YE ; Bing ZHU ; Weiyan LIU ; Bing GAO ; Hong XU
Journal of Preventive Medicine 2023;35(1):11-16
Objective:
To examine the effects of air pollution on overall mortality, mortality of respiratory diseases, and mortality of circulatory diseases among residents in Hangzhou City.
Methods:
Residents' mortality data in Hangzhou City from 2014 to 2016 were captured from Zhejiang Provincial Chronic Disease Surveillance Information Management System, and the ambient air quality in Hangzhou City from 2014 to 2016 were collected from Hangzhou Environmental Monitoring Center, while the meteorological monitoring data during the study period were collected from Hangzhou Meteorological Bureau. The effects of PM2.5, PM10, NO2 and SO2 on overall mortality, morality of respiratory diseases and mortality of circulatory diseases were evaluated a generalized additive model (GAM) based on Poisson distribution, and the risk of mortality was described with excess risk (ER) and its 95%CI.
Results:
The daily M (QR) overall deaths, deaths from respiratory diseases and deaths from circulatory diseases were 111 (30), 16 (9) and 37 (14) persons in Hangzhou City from 2014 to 2016, respectively. A 10 μg/m3 increase in PM2.5, PM10, NO2 and SO2 resulted in 0.47% (95%CI: 0.23%-0.70%), 0.37% (95%CI: 0.21%-0.53%), 1.06% (95%CI: 0.50%-1.61%) and 3.08% (95%CI: 2.18%-3.99%) rises in the risk of overall mortality, 0.60% (95%CI: 0.04%-1.16%), 0.45% (95%CI: 0.06%-0.83%), 2.01% (95%CI: 0.84%-3.20%) and 6.06% (95%CI: 3.80%-8.37%) rises in the risk of mortality of respiratory diseases, and 0.45% (95%CI: 0.08%-0.83%), 0.44% (95%CI: 0.17%-0.71%), 1.43% (95%CI: 0.49%-2.37%) and 3.66% (95%CI: 2.13%-5.22%) rises in the risk of mortality of circulatory diseases, and the greatest effect was observed at a 2-day lag. Multi-pollutant model analysis showed that, after adjustment for PM2.5, NO2 and PM2.5+NO2+SO2, a 10 μg/m3 increase in SO2 resulted in an elevated risk of mortality of respiratory diseases than a single-pollutant model.
Conclusions
The air pollutants PM10, PM2.5, NO2, and SO2 correlated positively with the risk of overall mortality, mortality of respiratory diseases and mortality of circulatory diseases in Hangzhou City from 2014 to 2016, and the co-existence of multiple pollutants enhanced the effect of SO2 on mortality of respiratory diseases.
2.Simultaneous determination of seven constituents in Gnaphalium affine
Jun-Bin GAO ; Xuan WANG ; Yan-Hong CHEN ; Jun-Li LI ; Shan-Shan L(U) ; Lian-Na SUN
Chinese Traditional Patent Medicine 2018;40(5):1116-1119
AIM To establish an HPLC method for the simultaneous content determination of seven constituents in Gnaphalium affine D.Don.METHODS The analysis of 80% methanol of G.affine was performed on a 30 ℃ Atlantis (C) T3 column (4.6 mm× 250 mm,5 μm),with the mobile phase comprising of acetonitrile-formic acid flowing at 1.0 mL/min in a gradient elution manner,and the detection wavelength was set at 288 nm.RESULTS Seven constituents showed good linear relationships within their own ranges (R2 ≥0.999 8),whose average recoveries were 98.58%-103.8% with the RSDs of 0.88%-1.74%.CONCLUSION This accurate,stable and reproducible method can be used for the quality control of G.affine.
3.Consistent Alterations of Human Fecal Microbes After Transplantation into Germ-free Mice
Li YANZE ; Cao WENMING ; Gao L NA ; Zhao XING-MING ; Chen WEI-HUA
Genomics, Proteomics & Bioinformatics 2022;20(2):382-393
Fecal microbiota transplantation(FMT)of human fecal samples into germ-free(GF)mice is useful for establishing causal relationships between the gut microbiota and human phenotypes.However,due to the intrinsic differences between human and mouse intestines and the different diets of the two organisms,it may not be possible to replicate human phenotypes in mice through FMT;similarly,treatments that are effective in mouse models may not be effective in humans.In this study,we aimed to identify human gut microbes that undergo significant and consistent changes(i.e.,in relative abundances)after transplantation into GF mice in multiple experimental settings.We collected 16S rDNA-seq data from four published studies and analyzed the gut microbiota pro-files from 1713 human-mouse pairs.Strikingly,on average,we found that only 47%of the human gut microbes could be re-established in mice at the species level,among which more than 1/3 under-went significant changes(referred to as"variable taxa").Most of the human gut microbes that underwent significant changes were consistent across multiple human-mouse pairs and experimen-tal settings.Consequently,about 1/3 of human samples changed their enterotypes,i.e.,significant changes in their leading species after FMT.Mice fed with a controlled diet showed a lower enter-otype change rate(23.5%)than those fed with a noncontrolled diet(49.0%),suggesting a possible solution for rescue.Most of the variable taxa have been reported to be implicated in human dis-eases,with some recognized as the causative species.Our results highlight the challenges of using a mouse model to replicate human gut microbiota-associated phenotypes,provide useful informa-tion for researchers using mice in gut microbiota studies,and call for additional validations after FMT.An online database named FMT-DB is publicly available at http://fmt2mice.humangut.info/#/.
4.HIV prevalence and risk factors among premarital couples in Dehong Prefecture of Yunnan Province, 2017
Yu-rong GONG ; Shi-jie QIAO ; Shi-jiang YANG ; Yue-cheng YANG ; Ren-hai TANG ; Yan-fen CAO ; Jie GAO ; Lin LI ; Run-hua YE ; Ji-bao WANG ; Shi-tang YAO ; Ying-ying DING ; Na HE ; Song DUAN
Chinese Journal of Disease Control & Prevention 2019;23(1):114-117
Objective To understand the prevalence of HIV infection and its influencing factors in the premarital physical examination population in Dehong Prefecture, Yunnan Province, 2017. Methods The data of people receiving premarital medical examination was collected, the demographic characteristics was described and the related factors was analyzed by Logistic regression. Results There were 21 875 participants receiving premarital medical examination in Dehong. 98(0.45%) participants were confirmed positive for HIV and male infection rate was 0.47% (52/10 955) and female was 0.42% (46/10 920). Among the 98 patients, 20 patients were infected in the first time, and main route was sexual transmission accounting for 81.63% (80/98). Logistic multivariate regression analysis showed that age, ethnicity and drug use were the influencing factors for premarital couples infecting HIV. The risk of HIV infection in 31-40 and 41-50 years old group was higher than the people under 25 years old group(OR=3.78, 95% CI:1.81-7.89, P<0.001;OR=3.95, 95% CI:1.72-9.08, P=0.001). The infection risk of Dai and Jingpo ethnic group was higher than that of the Han ethnic(OR=1.86, 95% CI:1.06-3.29, P=0.031;OR=3.25, 95% CI:1.81-5.84, P<0.001). The risk of infection among drug users was much higher than non-drug users (OR=926.76, 95% CI:271.65-3 161.71, P<0.001). Conclusion Age, ethnicity, and drug use are influencing factors of HIV infection among premarital couples. Targeted measures need to be taken against risk factors. HIV infection is mainly transmitted by sexual transmission. It can be effectively detected and controlled through premarital medical examination.