2.Effect of hnRNP K and its interaction with HPV16 on cervical intraepithelial neoplasia.
L DING ; M J FENG ; C L LIU ; L WANG ; Z C SONG ; Q YANG ; X X LI ; L SONG ; W GAO ; J T WANG
Chinese Journal of Epidemiology 2018;39(12):1630-1635
Objective: To investigate the effect of heterogeneous nuclear ribonucleoprotein K (hnRNP K) and its interaction with human papillomavirus 16 (HPV16) on cervical intraepithelial neoplasia (CIN). Methods: The participants included 67 women with normal cervix (NC), 69 women with CINⅠ and 68 women with CINⅡ/Ⅲ in a community cohort of pathologically diagnosed women established in Jiexiu of Shanxi province, from June 2014 to June 2015. A structured questionnaire was used to collect the demographic data of the subjects and the related factors of cervical lesions. Cervical exfoliated cells and cervical tissues from biopsy or surgery were selected. The infection status of HPV16 was detected by flow-through hybridization. The protein expression levels of hnRNP K were evaluated by Western blot. SPSS 23.0 software was used to collate and analyze the data. To study the differences in demographic characteristics, related factors, hnRNP K protein and HPV16 infection among NC, CINⅠand CINⅡ/Ⅲgroups, χ(2) test, trend χ(2) test, and Kruskal-Wallis H test were conducted. Multiple comparisons of hnRNP K protein in three groups were completed by using the Bonferroni method. The OR and its 95%CI of hnRNP K, HPV16 and CIN were calculated by using the unconditional logistic regression models. Two-way interactions between hnRNP K protein and HPV16 infection on CIN were analyzed by using additive model and related indicators. Results: HPV16 infection rates were 10.4% in women with normal cervix, 14.5% in women with CINⅠ and 41.2% in women with CINⅡ/Ⅲ, respectively. The differences among three groups were significant (P<0.001). Moreover, the infection rates of HPV16 gradually increased with the increasing severity of CIN (trend χ(2)=18.512, P<0.001). The differences in protein expression of hnRNP K among three groups were significant (H=48.138, P<0.001) and the expressionincreased with the development of cervical lesionss (trend χ(2)=21.765, P<0.001). Results from the interaction analysis indicated that there were additive effects between high expression of hnRNP K protein and HPV16 in CINⅡ/Ⅲ group compared with normal group (API=0.639, 95%CI: 0.083-1.196). In contrast, no such additive effect was found in CINⅠ group. Conclusions: HPV16 infection and over-expression of hnRNP K protein were associated with the increased risk of cervical intraepithelial neoplasia. There might be interaction between hnRNP K protein overexpression and HPV16 infection existed on the progress of CINⅡ/Ⅲ.
Case-Control Studies
;
Disease Progression
;
Female
;
Gene Expression Regulation, Neoplastic
;
Heterogeneous-Nuclear Ribonucleoprotein K/metabolism*
;
Human papillomavirus 16
;
Humans
;
Papillomavirus Infections
;
Uterine Cervical Neoplasms/virology*
;
Uterine Cervical Dysplasia/virology*
3.Study on the super-antigen genes of group A Streptococcus pyogenes strains isolated from patients with scarlet fever and pharyngeal infection, in Beijing, 2015-2017.
C N MA ; X M PENG ; S S WU ; D T ZHANG ; J C ZHAO ; G L LU ; Y PAN ; S J CUI ; Y M LIU ; W X SHI ; M ZHANG ; Q Y WANG ; P YANG
Chinese Journal of Epidemiology 2018;39(10):1375-1380
Objective: To analyze the characteristics of super-antigen (SAg) of group A Streptococcus pyogenes (GAS), isolated from patients with scarlet fever or pharyngeal infections in Beijing between 2015-2017. Methods: Throat swab specimens from patients with scarlet fever or pharyngeal infections were collected and tested for GAS. Eleven currently known SAg genes including SpeA, speC, speG, speH, speI, speJ, speK, speL, speM, smeZ and ssa were tested by real-time PCR while M protein genes (emm genes) were amplified and sequenced by PCR. Results: A total of 377 GAS were isolated from 6 801 throat swab specimens, with the positive rate as 5.5%. There were obvious changes noticed among speC, speG, speH and speK in three years. A total of 45 SAg genes profiles were observed, according to the SAgs inclusion. There were significant differences appeared in the frequencies among two of the highest SAg genes profiles between emm1 and emm12 strains (χ(2)=38.196, P<0.001; χ(2)=72.310, P<0.001). There also appeared significant differences in the frequencies of speA, speH, speI and speJ between emm1 and emm12 strains (χ(2)=146.154, P<0.001; χ(2)=52.31, P<0.001; χ(2)=58.43, P<0.001; χ(2)=144.70, P<0.001). Conclusions: Obvious changes were noticed among SAg genes including speC, speG, speH and speK from patients with scarlet fever or pharyngeal infections in Beijing between 2015-2017. SAg genes including speA, speH, speI and speJ appeared to be associated with the emm 1 and emm 12 strains. More kinds of SAg genes profiles were isolated form GAS but with no significant differences seen in the main SAg genes profiles, during the epidemic period.
Antigens, Bacterial/genetics*
;
Bacterial Outer Membrane Proteins
;
Bacterial Proteins
;
Beijing/epidemiology*
;
China/epidemiology*
;
Exotoxins
;
Female
;
Humans
;
Membrane Proteins
;
Pharyngitis/microbiology*
;
Pharynx/microbiology*
;
Pregnancy
;
Pregnancy Complications, Infectious/microbiology*
;
Real-Time Polymerase Chain Reaction
;
Scarlet Fever/microbiology*
;
Streptococcal Infections
;
Streptococcus pyogenes/isolation & purification*
;
Superantigens/genetics*
4.Interaction between polycyclic aromatic hydrocarbons and high risk human papillomavirus infection on cervical intraepithelial neoplasia.
M WANG ; L DING ; X Z LIU ; C L LIU ; L LI ; Y J LYU ; J T WANG
Chinese Journal of Epidemiology 2018;39(5):673-677
Objective: To evaluate the effects of polycyclic aromatic hydrocarbons (PAHs) and high risk human papillomavirus (HR-HPV) infection and their interaction on the progression of cervical intraepithelial neoplasia. Methods: A total of 486 patients, including 208 women with normal cervix (NC), 154 patients with low-grade cervical intraepithelial neoplasm (CINⅠ), 124 patients with high-grade cervical intraepithelial neoplasm (CINⅡ/Ⅲ), were selected from the cervical lesions cohort from June to December, 2014. HR-HPV was detected by using flow-through hybridization technology and the urine concentration of 1-hydroxypyrene (1-OHP) was detected with high performance liquid chromatography. By using software SPSS 22.0, the χ(2) test, trend χ(2) test, Kruskal-Wallis H test, Nemenyi rank test and Spearman rank correlation analysis were performed. And the interaction effects were evaluated by additive model. Results: The HR-HPV infection rates in NC, CINⅠ and CINⅡ/Ⅲ groups were 27.9%, 37.0% and 58.9%, respectively. The urine concentrations of 1-OHP (μmol/molCr) were 0.07±0.09, 0.11±0.10 and 0.17±0.15, respectively. With increasing severity of the cervical lesions, the HR-HPV infection rate gradually increased (trend χ(2)=29.89, P<0.001) and the high exposure rate of PAHs gradually increased (trend χ(2)=27.94, P<0.001). HR-HPV infection was positively correlated with 1-OHP exposure (r=0.680, P<0.001). There was a positive additive interaction between HPV infection and PAHs exposure in CIN Ⅱ/Ⅲ group, but it was not found in CIN Ⅰ group. Conclusion: Both HR-HPV infection and high exposure of PAHs might increase the risk of cervical intraepithelial neoplasm, and might have a synergistic effect on the progression of high-grade cervical intraepithelial neoplasia.
Case-Control Studies
;
Cohort Studies
;
Disease Progression
;
Female
;
Humans
;
Papillomaviridae/isolation & purification*
;
Papillomavirus Infections/virology*
;
Polycyclic Aromatic Hydrocarbons/pharmacology*
;
Pyrenes/urine*
;
Severity of Illness Index
;
Uterine Cervical Dysplasia/virology*
;
Uterine Cervical Neoplasms/virology*
5.Epidemiological characteristics of hepatitis A and hepatitis E in different periods of vaccination in China, 2004-2015.
X J SUN ; F Z WANG ; H ZHENG ; N MIAO ; H Q WANG ; Z D YIN ; G M ZHANG
Chinese Journal of Epidemiology 2018;39(10):1351-1355
Objective: Through analyzing the epidemiological characteristics of hepatitis A and E and the situation of vaccination, to promote the recommendation profile on Hepatitis E vaccination program, in China. Methods: Three phases of time span were divided as 2004-2007, 2008-2011 and 2012-2015, with age groups divided as <20, 20-29, 30-39 and ≥40. Incidence rates in both different phases and age groups were compared. Numbers of Hepatitis A and E vaccines released and used, were described. Results: Between 2004 and 2015, a declining trend in the reported incidence of hepatitis A (t=-12.15, P<0.001), but an increasing trend in hepatitis E (t=6.63, P<0.001) were noticed. The mean number of hepatitis A cases declined from 6 515 to 1 986 between 2004 and 2007 while the number of hepatitis E cases increased from 1 491 to 2 277 between 2012 and 2015. The peaks of hepatitis E appeared persistent annually, in March. The incidence of hepatitis A declined in three regions, with the western region (3.46/100 000) much higher than the eastern (1.13/100 000) or central regions (1.14/100 000) (χ(2)=32 630, P<0.01). The incidence of hepatitis E increased both in the central (1.74/100 000) and western regions (1.58/100 000), but more in the eastern region (2.66/100 000) (χ(2)=6 009, P<0.01). Incidence of hepatitis A declined in all age groups and declined by 84.36% among the 0-19 group. However, the incidence of hepatitis E showed an increasing trend among the ≥20 group. Incidence rates appeared higher in the older age groups. The coverage of hepatitis A vaccine increased from 62.05% to 93.54%, but with a negative association seen between the coverage of Hepatitis A vaccine and the incidence (F=10.69, χ(2)<0.05). Conclusion: The incidence of Hepatitis A declined sharply in China while hepatitis E was still increasing from 2004 to 2015, calling for the expansion on the coverage of Hepatitis E vaccine in the whole population.
Adolescent
;
Adult
;
Aged
;
China/epidemiology*
;
Health Care Surveys
;
Hepatitis A/epidemiology*
;
Hepatitis A Vaccines/administration & dosage*
;
Hepatitis E/epidemiology*
;
Humans
;
Immunization/statistics & numerical data*
;
Immunization Programs
;
Incidence
;
Middle Aged
;
Population Surveillance
;
Vaccination/statistics & numerical data*
;
Young Adult
6.Estimation on the health life expectancy of adults in Zhejiang province, 2016.
F R FEI ; R Y HU ; X Y WANG ; J M ZHONG ; W W GONG ; J PAN ; H B WU ; M WANG ; H WANG ; M YU
Chinese Journal of Epidemiology 2018;39(9):1249-1254
Objective: To estimate the health-adjusted life expectancy (HALE) of adults in Zhejiang province and evaluate the health status of the adults. Methods: This study was based on the mortality data collected from Zhejiang Chronic Disease Surveillance Information and Management System, and mortality rates from the underreporting survey and self-reported health data in 2016. Hierarchical Ordered Probit (HOPIT) model was used to estimate the severity-weighted prevalence of disability. Sullivan's method was used to calculate the HALE. Results: After adjustment by HOPIT model, the severity-weighted prevalence of disability increased significantly with age (χ(2)=5 795.81,P<0.001), and it was higher in females than in males (χ(2)=5 353.27, P<0.001). The life expectancy and self-evaluated HALE were 59.08 years and 48.68 years, respectively, in those aged ≥20 years, the difference was 10.40 years due to disability. The proportion of HALE loss due to disability in the total life expectancy was 17.61%, and it increased with age. HALE was higher in males than in females (49.21 years vs. 48.14 years), and in urban residents than in rural residents (49.92 years vs. 47.43 years). Conclusion: The proportion of loss of HALE in the total life expectancy in adults was high in Zhejiang, and it higher in males than in females, in urban residents than rural residents. Programs on improving health care in women and rural residents should be promoted.
Adult
;
China/epidemiology*
;
Chronic Disease/epidemiology*
;
Disabled Persons/statistics & numerical data*
;
Female
;
Health Status
;
Humans
;
Life Expectancy/ethnology*
;
Male
;
Middle Aged
;
Prevalence
;
Sex Distribution
7.A Meta-analysis on the relations between short-term exposure to PM(2.5) and both mortality and related emergency visits in China.
M LI ; Y WU ; Y H TIAN ; G Y CAO ; S S YAO ; P AI ; Z HUANG ; C HUANG ; X W WANG ; Y Y CAO ; X XIANG ; J JUAN ; Y H HU
Chinese Journal of Epidemiology 2018;39(10):1394-1401
Objective: To carry out a quantitative estimate that related to the effects of short-term exposure to PM(2.5) on all-cause mortality and emergency visits in China by using the systematic review and Meta-analysis. Methods: We selected all the studies published before March 2018 from China National Knowledge Infrastructure, Wanfang database, PubMed and EMBASE and data on relative risk (RR), excess risk (ER) and their 95%CIs: appeared in these papers were extracted. According to the differences in the size or direction (heterogeneity) of the results, we computed summary estimates of the effect values using a random-effect or fixed effect model. We also conducted the subgroup analysis and Meta-analysis to have assessed the selected studies for the evidence of study bias. Results: A total of 33 original studies, indexed in databases, were identified. Among those studies, 39 sets of data on mortality and 4 sets of data on emergency were valid to show that within the daily concentration range from 47.7 to 176.7 μg/m(3), for 10 μg/m(3) increases in PM(2.5) concentrations, it would increase the daily numbers of deaths by 0.49% (95%CI: 0.39%-0.59%) and 0.30% (95%CI: 0.10%-0.51%) for all-cause deaths and all-cause emergency-room visits, respectively. For subgroup analysis, the combined effect of PM(2.5) in causing short-term all-cause deaths in the northern areas (ER=0.42%, 95%CI: 0.30%-0.54%) seemed lower than that in the southern areas (ER=0.63%, 95%CI: 0.44%-0.82%). The combined effect of PM(2.5) concentration below 75 μg/m(3) (ER=0.50%, 95%CI: 0.37%-0.62%) was higher than that of PM(2.5) concentration ≥75 μg/m(3) (ER=0.39%, 95%CI: 0.26%-0.52%). Conclusion: Within the concentration range from 47.7 to 176.7 μg/m(3), short-term exposure to current level of PM(2.5) might increase both the all-cause daily mortality and daily emergency visits in China.
Air Pollutants
;
Air Pollution/statistics & numerical data*
;
China
;
Databases, Factual
;
Emergency Service, Hospital/statistics & numerical data*
;
Environmental Exposure/statistics & numerical data*
;
Female
;
Humans
;
Male
;
Particulate Matter/toxicity*
;
Time Factors
8.Research progress on non-steady state noise-induced hearing loss.
Chinese Journal of Industrial Hygiene and Occupational Diseases 2021;39(7):550-554
Non-steady state noise has become the main type of workplace noise. Compared with steady state noise, non-steady state noise may cause more serious hearing loss. This paper reviews the new situation of occupational hearing loss caused by non-steady state noise exposure, the overview of international noise exposure assessment standards and new challenges, and the new evidence of non-steady state noise induced hearing loss, so as to provide the basis for the future research of non-steady state noise induced hearing loss.
Auditory Threshold
;
Hearing Loss, Noise-Induced
;
Humans
;
Noise
;
Noise, Occupational/adverse effects*
;
Occupational Diseases/epidemiology*
9.Trends in 30-day case fatality rate in patients hospitalized due to acute myocardial infarction in Beijing, 2007-2012.
J Y SUN ; Q ZHANG ; D ZHAO ; M WANG ; S GAO ; X Y HAN ; J LIU
Chinese Journal of Epidemiology 2018;39(3):363-367
Objective: To understand the distribution and trends in 30-day coronary heart disease (CHD) case fatality rate in patients hospitalized due to acute myocardial infarction (AMI) in Beijing during 2007-2012. Methods: The clinical data of patients hospitalized due to AMI in Beijing from 1 January 2007 to 31 December 2012 were collected from "The Cardiovascular Disease Surveillance System in Beijing" . A total of 77 943 local patients aged ≥25 years were hospitalized due to AMI in Beijing during the this period. After excluding duplicate records and validation for the completeness and accuracy of the records, the clinical characteristics of the patients and 30-day CHD case fatality rate in the patients were analyzed. Trends in 30-day CHD case fatality rate in the patients were analyzed with Poisson regression models. Results: The age-standardized average 30-day CHD case fatality rate was 9.7% in the 77 943 patients. During this period, a decreasing trend was observed in 30-day CHD case fatality rate after adjusting for age and gender (P<0.001). The age-standardized 30-day CHD case fatality rate decreased by 16.0%, from 10.8% in 2007 to 9.0% in 2012. The decreases of 30-day CHD case fatality rates were noted in both men and women, whereas 30-day CHD case fatality rate was higher in women (14.1%) than in men (7.6%) after adjusting for age. During this period, the proportion of ST-segment elevation myocardial infarction (STEMI) decreased, while the proportion of non-ST-segment elevation myocardial infarction (NSTEMI) increased with year. A significant decline (20.1%) in 30-day case fatality rate of STEMI was found, but no decline was found for 30-day mortality rate of NSTEMI. Conclusion: A decreasing trend in 30-day CHD case fatality rate was observed in the patients aged ≥25 years and hospitalized due to AMI in Beijing during 2007-2012, indicating the improvement in short-term prognosis of patients hospitalized due to AMI. Our findings highlight the urgent need to improve the treatment for woman and NSTEMI patients.
Acute Disease
;
Adult
;
Aged
;
Aged, 80 and over
;
Beijing/epidemiology*
;
Coronary Disease/mortality*
;
Female
;
Hospital Mortality
;
Hospitalization/trends*
;
Humans
;
Male
;
Middle Aged
;
Myocardial Infarction/mortality*
;
Prognosis
;
Survival Analysis
;
Time Factors
10.Effects of PNPLA3, TM6SF2 gene polymorphisms and its interactions with smoking and alcohol drinking on hepatitis B virus-associated hepatocellular carcinoma.
L Q WANG ; W H GUO ; Z W GUO ; P QIN ; R ZHANG ; X M ZHU ; D W LIU
Chinese Journal of Epidemiology 2018;39(12):1611-1616
Objective: To explore the SNP effects of patatin-like phospholipase domain which containing 3 (PNPLA3), transmembrane 6 superfamily member 2 (TM6SF2) gene, environmental effects of smoking, alcohol drinking and interaction between gene-gene, gene-environment and drinking-smoking on hepatitis B virus-associated hepatocellular carcinoma (HBV-HCC). Methods: We collected anticoagulant peripheral blood from patients of HBV-HCC, chronic hepatitis B (CHB), liver cirrhosis (LC) and from healthy controls to detect the single nucleotide polymorphism (SNP) of patatin-like phospholipase domain containing 3 (PNPLA3) gene loci rs738409 and transmembrane 6 superfamily member 2 (TM6SF2) gene loci rs58542926, using the flight mass spectrometry method. The optimal assignment value of gene polymorphisms was defined by using the online SNP stats. Hardy-Weinberg (H-W) balance was tested for SNP. Effects of the genetic and environmental factors to HBV-HCC were analyzed by using the multiple classification logistic regression method. The gene-gene, gene-smoking and alcohol drinking interaction effects were investigated by Fork-Life analysis and binary logistic regression methods. Results: The frequency distribution of CHB group rs738409 loci seemed not in conformity with the H-W balance (χ(2)=11.980, P<0.005). Two loci frequency distributions in the other groups were all in accordandce with the H-W balance. After adjusting for influences on age and sex and comparing to the healthy group, the rs58542926 mutation appeared as OR=1.659, 95%CI: 1.026-2.684, P=0.039, in the HBV-HCC group. When comparing to CHB group, the HBV-HCC group presented that drinking as OR=1.680, 95%CI: 1.121-2.519, P=0.012. When comparing to the LC group, the ORs of drinking and smoking were 1.539 (1.071-2.213) and 1.453 (1.005-2.099) respectively, in the HBV-HCC group. When comparing to the CHB+LC group, interactions between the HBV-HCC group were found rs738409 and rs58542926 on additive model OR=1.548 (U=1.885, P=0.029) and OR=1.658 (P=0.024) on logistic regression model while drinking was rs738409 on interaction additive model with OR=1.811(U=1.965, P=0.024). As for drinking and mutation of rs738409, the multiplication model of logistic regression showed no statistically significant differences. Interaction between smoking and drinking appeared as OR=1.756 (P<0.001) in the logistics regression multiplication model. Conclusions: Factors as mutation of TM6SF2, smoking and drinking all appeared as risk factors for HBV-HCC. Mutations of both PNPLA3 and TM6SF2, together with smoking and drinking all served as risk factors for HBV-HCC. However, the mutation of single PNPLA3 appeared as a protective factor on HBV-HCC.
Alcohol Drinking/adverse effects*
;
Carcinoma, Hepatocellular/virology*
;
Case-Control Studies
;
Epistasis, Genetic
;
Gene-Environment Interaction
;
Genetic Predisposition to Disease
;
Genotype
;
Hepatitis B virus
;
Hepatitis B, Chronic
;
Humans
;
Lipase/genetics*
;
Liver Cirrhosis, Alcoholic/complications*
;
Liver Neoplasms/virology*
;
Membrane Proteins/genetics*
;
Polymorphism, Single Nucleotide
;
Smoking/adverse effects*