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*

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*

Background: s/Aims: Socioeconomic determinants of health are incompletely characterized in cholangiocarcinoma (CCA). We assessed how socioeconomic status influences initial treatment decisions and survival outcomes in patients with CCA, additionally performing multiple sub-analyses based on anatomic location of the primary tumor. Methods: Observational study using the 2018 submission of the Surveillance, Epidemiology, and End Results (SEER)-18 Database. In total, 5,476 patients from 2004−2015 with a CCA were separated based on median household income (MHI) into low income (< 25th percentile of MHI) and high income (> 25th percentile of MHI) groups. Seventy-three percent of patients had complete follow up data, and were included in survival analyses. Survival and treatment outcomes were calculated using R-studio. Results: When all cases of CCA were included, the high-income group was more likely than the low-income to receive surgery, chemotherapy, and local tumor destruction modalities. Initial treatment modality based on income differed significantly between tumor locations. Patients of lower income had higher overall and cancer-specific mortality at 2 and 5 years. Non-cancer mortality was similar between the groups. Survival differences identified in the overall cohort were maintained in the intrahepatic CCA subgroup. No differences between income groups were noted in cancer-specific or overall mortality for perihilar tumors, with variable differences in the distal cohort. Conclusions Lower income was associated with higher rates of cancer-specific mortality and lower rates of surgical resection in CCA. There were significant differences in treatment selection and outcomes between intrahepatic, perihilar, and distal tumors. Population-based strategies aimed at identifying possible etiologies for these disparities are paramount to improving patient outcomes.

Background: s/Aims: Socioeconomic determinants of health are incompletely characterized in cholangiocarcinoma (CCA). We assessed how socioeconomic status influences initial treatment decisions and survival outcomes in patients with CCA, additionally performing multiple sub-analyses based on anatomic location of the primary tumor. Methods: Observational study using the 2018 submission of the Surveillance, Epidemiology, and End Results (SEER)-18 Database. In total, 5,476 patients from 2004−2015 with a CCA were separated based on median household income (MHI) into low income (< 25th percentile of MHI) and high income (> 25th percentile of MHI) groups. Seventy-three percent of patients had complete follow up data, and were included in survival analyses. Survival and treatment outcomes were calculated using R-studio. Results: When all cases of CCA were included, the high-income group was more likely than the low-income to receive surgery, chemotherapy, and local tumor destruction modalities. Initial treatment modality based on income differed significantly between tumor locations. Patients of lower income had higher overall and cancer-specific mortality at 2 and 5 years. Non-cancer mortality was similar between the groups. Survival differences identified in the overall cohort were maintained in the intrahepatic CCA subgroup. No differences between income groups were noted in cancer-specific or overall mortality for perihilar tumors, with variable differences in the distal cohort. Conclusions Lower income was associated with higher rates of cancer-specific mortality and lower rates of surgical resection in CCA. There were significant differences in treatment selection and outcomes between intrahepatic, perihilar, and distal tumors. Population-based strategies aimed at identifying possible etiologies for these disparities are paramount to improving patient outcomes.

Background: s/Aims: Socioeconomic determinants of health are incompletely characterized in cholangiocarcinoma (CCA). We assessed how socioeconomic status influences initial treatment decisions and survival outcomes in patients with CCA, additionally performing multiple sub-analyses based on anatomic location of the primary tumor. Methods: Observational study using the 2018 submission of the Surveillance, Epidemiology, and End Results (SEER)-18 Database. In total, 5,476 patients from 2004−2015 with a CCA were separated based on median household income (MHI) into low income (< 25th percentile of MHI) and high income (> 25th percentile of MHI) groups. Seventy-three percent of patients had complete follow up data, and were included in survival analyses. Survival and treatment outcomes were calculated using R-studio. Results: When all cases of CCA were included, the high-income group was more likely than the low-income to receive surgery, chemotherapy, and local tumor destruction modalities. Initial treatment modality based on income differed significantly between tumor locations. Patients of lower income had higher overall and cancer-specific mortality at 2 and 5 years. Non-cancer mortality was similar between the groups. Survival differences identified in the overall cohort were maintained in the intrahepatic CCA subgroup. No differences between income groups were noted in cancer-specific or overall mortality for perihilar tumors, with variable differences in the distal cohort. Conclusions Lower income was associated with higher rates of cancer-specific mortality and lower rates of surgical resection in CCA. There were significant differences in treatment selection and outcomes between intrahepatic, perihilar, and distal tumors. Population-based strategies aimed at identifying possible etiologies for these disparities are paramount to improving patient outcomes.

Background: s/Aims: Socioeconomic determinants of health are incompletely characterized in cholangiocarcinoma (CCA). We assessed how socioeconomic status influences initial treatment decisions and survival outcomes in patients with CCA, additionally performing multiple sub-analyses based on anatomic location of the primary tumor. Methods: Observational study using the 2018 submission of the Surveillance, Epidemiology, and End Results (SEER)-18 Database. In total, 5,476 patients from 2004−2015 with a CCA were separated based on median household income (MHI) into low income (< 25th percentile of MHI) and high income (> 25th percentile of MHI) groups. Seventy-three percent of patients had complete follow up data, and were included in survival analyses. Survival and treatment outcomes were calculated using R-studio. Results: When all cases of CCA were included, the high-income group was more likely than the low-income to receive surgery, chemotherapy, and local tumor destruction modalities. Initial treatment modality based on income differed significantly between tumor locations. Patients of lower income had higher overall and cancer-specific mortality at 2 and 5 years. Non-cancer mortality was similar between the groups. Survival differences identified in the overall cohort were maintained in the intrahepatic CCA subgroup. No differences between income groups were noted in cancer-specific or overall mortality for perihilar tumors, with variable differences in the distal cohort. Conclusions Lower income was associated with higher rates of cancer-specific mortality and lower rates of surgical resection in CCA. There were significant differences in treatment selection and outcomes between intrahepatic, perihilar, and distal tumors. Population-based strategies aimed at identifying possible etiologies for these disparities are paramount to improving patient outcomes.

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*

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

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