Objective: To explore the effect of vaginal micro-environment alterations and HPV16 infection and their interaction in the progression of cervical intraepithelial neoplasia. Methods: The participants of this study came from the cervical lesions study cohort in Shanxi province, including 623 women with normal cervical (NC), 303 patients with pathogenically diagnosed low-grade cervical intraepithelial neoplasia (CINⅠ) and 93 patients with pathogenically diagnosed high-grade cervical intraepithelial neoplasia (CINⅡ/Ⅲ). The data of the demographic characteristics of the study subjects and factors related to cervical intraepithelial neoplasia were collected, and HPV16 infection were detected by using flow-through hybridization technology and H(2)O(2), β-glucuronidase, clotting enzyme, neuraminidase and leucocyte esterase in vaginal secretions were detected by using the combined detection kit of aerobic vaginitis and bacterial vaginosis. pH value and vaginal cleanliness were also detected at the same time. The database was established and analyzed by SPSS statistical software (version 22.0). Results: The HPV16 infection rate (trend χ(2)=55.45, P<0.001) and the abnormal rates of H(2)O(2) (trend χ(2)=26.19, P<0.001), pH (trend χ(2)=5.06, P=0.024), vaginal cleanliness (trend χ(2)=19.55, P<0.001), β-glucuronidase (trend χ(2)=17.52, P<0.001) and neuraminidase (trend χ(2)=14.90, P<0.001) increased gradually along with the severity of cervical intraepithelial neoplasia, but the abnormal rates of clotting enzyme and leucocyte esterase showed no same trend. The results of GMDR model analysis showed that there was interaction between HPV16 infection and abnormalities of H(2)O(2), β-glucuronidase, clotting enzyme and neuraminidase in CINⅠ group, and the interaction between HPV16 infection and the abnormalities of vaginal cleanliness, H(2)O(2), β-glucuronidase and neuraminidase in CIN Ⅱ/Ⅲ group. Conclusion: Our findings indicated that the vaginal micro-environment alterations and HPV16 infection could increase the risk of cervical intraepithelial neoplasia, and they might have an important synergistic effect in the progression of cervical intraepithelial neoplasia.
Female ; Human papillomavirus 16/isolation & purification* ; Humans ; Hydrogen Peroxide ; Papillomavirus Infections/virology* ; Uterine Cervical Neoplasms/virology* ; Uterine Cervical Dysplasia/virology*

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 investigate the effects of hepatitis B virus (HBV) genotype and mutations on the development of hepatocellular carcinoma (HCC) and to establish a new qualified HCC risk scores. Methods: A cohort study enrolling patients with chronic HBV infection was conducted. HBV genotypes were identified by nested multiplex PCR. HBV mutations in the basic core promoter region and PreS region were sequenced after PCR amplification. Scores on risk factors were set based on nomogram. Results: Totally, 1 525 patients were followed-up in this research. A total of 1 110 patients infected with genotype C were followed-up for 8.52 (Q(R): 5.36-11.68) years on average, of whom the incidence of HCC was 11.93/1 000 person-years. In genotype C HBV infected patients, male gender, aged 40 years and over, and four DNA mutations (T1674CG, A1762T/G1764A, A3120T, and A2962G) can increase the risk of HCC (P<0.05); interferon therapy can reduce the risk of HCC (P<0.05). A new HCC predicting model was established according to the results. After validation, the predicted disease-free survival rate was consistent with the real one. Conclusions: Hepatitis B virus genotypes and mutations were closely associated with HCC. The new risk scoring system can well predict HCC occurrence in genotype C HBV infected patients.
Adult ; Aged ; Carcinoma, Hepatocellular/virology* ; China/epidemiology* ; Cohort Studies ; DNA, Viral/genetics* ; Female ; Genotype ; Hepatitis B virus/genetics* ; Hepatitis B, Chronic/complications* ; Humans ; Liver Neoplasms/virology* ; Male ; Middle Aged ; Mutation ; Predictive Value of Tests ; Risk Factors ; Sensitivity and Specificity

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: To understand the transmission patterns and risk factors of HIV-1 strain CRF01_AE subtypes in China, and to provide guidance for the implementation of precise intervention. Methods: A total of 2 094 CRF01_AE pol sequences were collected in 19 provinces in China between 1996 and 2014. Phylogenetic tree was constructed by PhyML 3.0 software to select the transmission clusters. Transmission network was constructed by Cytoscape 3.6.0, which was further used for exploring of the major risk factors. Results: Of the 2 094 sequences, 12.18% (255/2 094) were in clusters. A total of 82 transmission clusters were identified. The numbers of clusters and contained sequences in intra-provincial transmission (61, 173) were significantly more than those in inter-provincial transmission (21, 82). The ratio of transmission clustering in MSM increased over time from 2.41% (2/83) during 1996-2008 to 23.61% (72/305) during 2013-2014, showing a significant upward trend (χ(2)=27.800, df=1, P=0.000). The proportion of MSM with inter-provincial transmission clusters were higher than those with intra-provincial transmission clusters, which increased from 0.67% (2/297) during 1996-2008 to 6.36%(30/472) during 2013-2014, showing a significant upward trend (χ(2)=20.276, df=1, P=0.000). The transmission rate in homosexuals of the inter-transmission clusters (86.59%, 71/82) was higher than that of intra-provincial transmission clusters (56.65%, 98/173), and the difference was statistically significant (χ(2)=22.792, P=0.000). The proportion of inter-provincial transmission clusters with more than 2 transmission routes (33.33%, 7/21) was higher than that of intra-provincial clusters (13.11%, 8/61), and the difference was statistically significant (χ(2)=4.273, P=0.039). Results from the transmission network analysis indicated that the proportion of high risk population (degree≥4) with inter-provincial transmission clusters (51.22%, 42/82) was significantly higher than that with intra-provincial transmission clusters (26.59%, 46/173), and the difference was statistically significant (χ(2)=14.932, P=0.000). Inter-provincial clusters were mainly detected in and and MSM. Conclusions: Complex transmission networks were found for HIV-1 CRF01_AE strains in the mainland of China. Inter-provincial transmission clusters increased rapidly, MSM played an important role in the wide spread of the strain. More researches in transmission networks are needed to guide the precision intervention.
China/epidemiology* ; HIV Infections/virology* ; HIV-1/isolation & purification* ; Homosexuality, Male/statistics & numerical data* ; Humans ; Male ; Phylogeny

Disinfection ; Escherichia coli ; isolation & purification ; Hospitals ; Medical Waste ; Sewage ; Waste Products ; Water Microbiology

Objective: To explore the characteristics of distribution on Chinese adult body mass index (BMI) in different age groups and genders and to provide reference related to obesity and related chronic diseases. Methods: Data from the China Health and Nutrition Survey in 2009 were used. Sequential sample cluster method was used to analyze the characteristics of BMI distribution in different age groups and genders by SAS. Results: Our results showed that the adult BMI in China should be divided into 3 groups according to their age, as 20 to 40 years old, 40 to 65 years old, and> 65 years old, in females or in total when grouped by difference of 5 years. For groupings in male, the three groups should be as 20 to 40, 40 to 60 years old and>60 years old. There were differences on distribution between the male and female groups. When grouped by difference of 10 years, all of the clusters for male, female and total groups as 20-40, 40-60 and>60 years old, became similar for the three classes, respectively, with no differences of distribution between gender, suggesting that the 5-years grouping was more accurate than the 10-years one, and BMI showing gender differences. Conclusions: BMI of the Chinese adults should be divided into 3 categories according to the characteristics of their age. Our results showed that BMI was increasing with age in youths and adolescents, remained unchanged in the middle-aged but decreasing in the elderly.
Adolescent ; Adult ; Age Distribution ; Aged ; Asian People/statistics & numerical data* ; Body Mass Index ; China/epidemiology* ; Female ; Humans ; Male ; Middle Aged ; Nutrition Surveys ; Obesity/ethnology* ; Sex Distribution ; Sex Factors ; Young Adult

Objective: To optimize the warning threshold values of common communicable diseases in Gansu province, and improve the early warning effect. Method: An early warning model was set up for influenza, scarlet fever, other infectious diarrheal diseases, dysentery, typhoid and paratyphoid, viral hepatitis type E and hand foot and mouth disease (HFMD) respectively in Gansu by using the moving percentile method and cumulative sum method. By calculating the sensitivity, specificity, predictive value of positive test, predictive value of negative test, Youden' index and receiver-operating characteristic curve, the optimum early warning threshold values for communicable diseases in Gansu were selected. Results: The optimum early warning boundary values of influenza, scarlet fever, other infectious diarrheal diseases, dysentery, typhoid and paratyphoid, and viral hepatitis type E were P(90), P(80), P(95), P(90), P(80) and P(90) respectively. The optimum early warning parameters of HFMD were k=1.2, H=5σ. Under the optimum early warning boundary values/parameters, the early warning sensitivities of influenza, scarlet fever, other infectious diarrheal diseases, dysentery, typhoid and paratyphoid, viral hepatitis type E and HFMD were 86.67%, 100.00%, 91.67%, 100.00%, 100.00%, 100.00% and 100.00%, the specificities were 86.49%, 62.22%, 75.00%, 100.00%, 97.92%, 89.13% and 74.47%. The predictive values of positive test were 72.22%, 29.17%, 52.38%, 100.00%, 80.00%, 54.55% and 29.41%, and the predictive values of negative test were 94.12%, 100.00%, 96.77%, 100.00%, 100.00%, 100.00% and 100.00%, and the Youden' indexes were 0.73, 0.62, 0.67, 1.00, 0.98,0.89 and 0.74. Receiver-operating characteristic curve showed that the values/parameters of this warning boundary were the points closest to the upper left of the coordinate diagram. Conclusion: The early warning thresholds of influenza, other infectious diarrheal diseases, dysentery and hepatitis E in Gansu may be raised appropriately and the early warning parameters of HFMD need to be adjusted to improve the effectiveness of early warning.
China ; Communicable Disease Control/methods* ; Communicable Diseases/epidemiology* ; Disease Notification ; Disease Outbreaks/prevention & control* ; Humans ; Models, Theoretical ; Population Surveillance/methods*

The causes of constipation are extremely complex and are still not fully clear. In addition to secondary factors such as organic diseases and drugs, constipation may also be related to genetics, diet, intestinal flora, age, gender and so on. At present, according to the etiology, chronic constipation is divided into primary constipation and secondary constipation. However, there are significant differences among current clinical guidelines in the clinical classification of primary constipation. Some guidelines classify primary constipation as slow-transit constipation (STC), outlet obstruction constipation (OOC), and mixed constipation; however, some guidelines classify primary constipation as STC, defecation disorder (DD), mixed constipation, and normal-transit constipation (NTC); what's more, some even propose types which are different from the above sub-types. There are also differences in the understanding of the relationship between functional constipation (FC) and primary constipation and the classification of irritable bowel syndrome predominant constipation (IBS-C) among various clinical guidelines. By reviewing domestic and international guidelines and relevant literature on constipation, the following conclusions are drawn: primary constipation can be divided into IBS-C and FC, and FC can be further divided into STC, OOC, and mixed constipation; primary constipation should not be confused with FC, nor should IBS-C be classified as FC.
Humans ; Irritable Bowel Syndrome/complications* ; Constipation/etiology* ; Gastrointestinal Transit

Aged ; Comorbidity ; Cytoreduction Surgical Procedures ; Diagnosis ; Drug Therapy ; Female ; Follow-Up Studies ; Humans ; Methods ; Neoadjuvant Therapy ; Ovarian Neoplasms ; Patient Preference ; Proportional Hazards Models ; Prospective Studies