Triclosan, a broad-spectrum antimicrobial agent, was reported to have been widely detected in various human biological samples such as urine, blood and human milk among foreign populations. In China, limited reports have been found on human exposure to triclosan, and the reported urinary triclosan concentrations were significantly lower than that of American populations. Besides, the potential influencing factors still remain unclear regarding human exposure to triclosan, but evidences suggest that those in middle age and with higher household income and higher social class tend to have higher urinary triclosan concentrations. Furthermore, triclosan exposure tend to differ by sex, geography, heredity, metabolism and life style.
China ; Environmental Exposure ; analysis ; Humans ; Middle Aged ; Triclosan ; analysis

Child ; China ; Humans ; Iodine ; urine ; Sodium Chloride, Dietary

China ; Hepatitis B ; epidemiology ; Humans ; Seroepidemiologic Studies

Hepatitis E ; epidemiology ; Hepatitis E virus ; Humans ; Renal Dialysis

China ; Female ; Humans ; Incidence ; Ovarian Neoplasms ; epidemiology ; Registries

OBJECTIVETo develop a quartz crystal microbalance (QCM) immunosensor with high sensitivity and selectivity for the rapid detection of diethylstilbestrol.

METHODSDextran was used as reducing agent for preparing gold nanoparticles (AuNPs) with the size of 40 nm. The AuNPs were coupled with anti-DES antibody after amination. A monolayer was generated after immersing the quartz crystal into the solution of 5 mmol/L 11-mercaptoundecanoic acid(MUA) for 16 hours. After the monolayer was activated by 1-ethyl-3-(3-dimethylaminopropry) carbodiimide hydrochloride (EDC·HCl) and N-hydrosuccinimide (NHS), 20 μl of 2.2 mg/ml DES-HS-BSA was dropped onto the surface of crystal to prepare a sensitive membrane which can recognize DES specifically. Then, 50 μl of 1 mol/L ethanolamine (pH 8.5) was used to seal the carboxylic groups to make the sensitive membrane which could identify DES specifically. QCM immunosensor was used as detection platform to optimize the reaction conditions. Under the optimized conditions, 10 μl of 28 μg/ml AuNPs-antibody was mixed with 10 μl of 0.03-2.5 μg/ml DES, and the mixture was added on the sensitive membrane. QCM immunosensor was used to detect the signals and the standard curve was obtained at the same time. The detection limit was calculated based on the standard curve. The specificity was evaluated by testing DES and its analogues with the same concentration.

RESULTSThe optimized concentration for the immobilization of DES-HS-BSA on the surface of QCM was 2.2 mg/ml. The optimized concentration for coupling anti-DES antibody with AuNPs was 7 μg/ml and 15 nmol/L, respectively. The optimized concentration of AuNPs-antibody was 14 μg/ml. The logarithm of DES concentration was proportional to the frequency shift in the range of 0.16-500 ng/ml, Δf=-24.170 lgCDES+69.71, R(2)=0.998. The detection limit of this method was 0.13 ng/ml. DES analogues could not influence the detection of DES obviously, so the sensor had good specificity.

CONCLUSIONThe quartz crystal microbalance immunosensor with gold nanoparticals amplification could detect DES sensitively and rapidly.

Biosensing Techniques ; Diethylstilbestrol ; isolation & purification ; Gold ; Limit of Detection ; Nanoparticles ; Quartz Crystal Microbalance Techniques

OBJECTIVETo investigate the expression of Toll-like receptor (TLR) mRNA in enterovirus 71(EV-A71) infected human Jurkat T cells and clarify the role of TLRs in the pathogenesis of EV-A71 infection-induced inflammation.

METHODSEV-A71 strains were isolated from feces of children patients with hand, foot and mouth disease in 2014 by Shenzhen Center for Disease Control and Prevention. Human Jurkat T cells were infected with 200 μl EV-A71 at 10(3) cell culture infective dose 50%(CCID50)/ml. The expression of TLR1-TLR10 mRNA in human Jurkat T cells was assessed at different exposure time by RT-PCR. Levels of TLR7 mRNA expression were detected by real-time PCR, and levels of myeloid differentiation factor 88 (MyD88) by western blot. The cytokine secretion of interleukin (IL)-6, IL-8 and Tumor Necrosis Factor α (TNF-α) was analyzed by ELISA assay.

RESULTSThe relative expression level of TLR7 mRNA in human Jurkat T cells were 1.26 ± 0.15, 1.75 ± 0.20, 2.26 ± 0.23 and 3.74 ± 0.62 in 6, 12, 24 and 48 h after EV-A71 infection, which the differences were significant with mock-infected group(t values were -2.96, -6.38, -9.57, -7.71; P<0.05). Western blot showed that the protein expression levels of MyD88 had increased 1.34 times and 2.17 times in 24 h and 48 h after EV-A71 infection compared with mock-infected group. After infected for 24 h and 48 h, the levels of IL-6 were (302.86 ± 38.11), (179.70 ± 14.50) pg/ml, which were significantly higher than mock-infected group (176.42 ± 9.60), (179.70 ± 14.50) pg/ml (t values were -5.57, -18.54, P<0.05). The levels of TNF-α in EV-A71 infected group (100.81 ± 9.81) pg/ml was higher than that in mock-infected group (56.19 ± 6.94) pg/ml, and the difference was significant (t=-6.43, P=0.003).

CONCLUSIONTLR7 is the main pattern recognition receptor responsible for EV-A71 recognition in immune cells, which then leads to the activation of TLR7 downstream signaling and the production of proinflammatory cytokines.

Blotting, Western ; Cell Line ; Enterovirus A, Human ; pathogenicity ; Enzyme-Linked Immunosorbent Assay ; Humans ; Interleukin-6 ; metabolism ; Interleukin-8 ; metabolism ; Myeloid Differentiation Factor 88 ; metabolism ; Real-Time Polymerase Chain Reaction ; T-Lymphocytes ; immunology ; virology ; Toll-Like Receptor 7 ; immunology ; Tumor Necrosis Factor-alpha ; metabolism

OBJECTIVETo investigate the antimicrobial resistance status and pulsed field gel electrophoresis (PFGE) patterns of Salmonella Enteritidis (S.Enteritidis) strains in Henan province.

METHODSS. Enteritidis strains were isolated from seven sentinel hospitals from March 2011 to December 2013. According to molecular typing and Salmonella (Kirby-Bauer, K-B) drug susceptibility testing method published by the international PulseNet bacterial infectious disease monitoring network and USA Clinical and Laboratory Standards Institute (CLSI), we analyzed drug sensitivity of 8 kinds antibiotics and PFGE molecule characteristics of 120 S. Enteritidis isolates from seven sentinel hospitals.

RESULTSAmong 120 strains of S. Enteritidis, 77 were isolated from male patients, 43 from female patients. A total of 78 strains S. Enteritidis were isolated from young children ranged from 0 to 5 years old (65.0%), including 57 strains isolated from 6 months to 2 years old (47.5%). The isolated time mainly centralized on May to October of the year, 11 strains isolated in March-April (9.2%), 48 were in May-July (40.0%),54 in August-October (45.0%), 7 in other months, with a typical summer seasonal characteristics. The resistance rate of 120 strains S. Enteritidis to ampicillin was 50.0% (n=60); to ceftazidime was 14.2% (n=17), to cefotaxime was 18.3% (n=22); to cefepime was 5.8% (n=7); to nalidixic acid was 61.7% (n=74); to ciprofloxacin was 8.3% (n=10), to norfloxacin was 5.8% (n=7); to gentamicin was 42.5% (n=51); to streptomycin was 21.7% (n=26); to chloramphenicol was 30.0% (n=36); resistance to methicillin benzyl ammonium was 11.7% (n=14), compound sulfamethoxazole resistance rate was 71.7% (n=86); the tetracycline resistant rate was 47.5% (n=57). All 120 strains of S. Enteritidis had different levels of resistance to 8 kinds of antibiotics, all strains were multidrug resistant strains, 28 isolates were resistant to 3-4 kinds of antibiotics (23.3%), 38 isolates were resistant to 5-6 kinds of antibiotics (31.7%), 39 isolates were resistant to 7-8 kinds of antibiotics (32.5%). All 120 strains of S. Enteritidis were divided into 44 molecular patterns by digestion with XbaI and pulsed field gel electrophoresis. each pattern contained 1-35 strains with similarity ranged from 54.3%-100%. EN14 and EN19 were the main PFGE types, including 35 and 29 strains respectively.

CONCLUSIONThe status of drug resistance of clinical isolates of Salmonella in Henan province was rather serious, PFGE patterns showed advantages and partial strain's corresponding resistant spectrum have certain relevance and the same aggregation relationship.

Anti-Bacterial Agents ; pharmacology ; Child, Preschool ; China ; Drug Resistance, Bacterial ; Electrophoresis, Gel, Pulsed-Field ; Female ; Humans ; Infant ; Infant, Newborn ; Male ; Microbial Sensitivity Tests ; Molecular Typing ; Salmonella Infections ; microbiology ; Salmonella enteritidis ; classification ; drug effects

OBJECTIVETo determine the level of genetic variation of human parainfluenza virus type 3 (HPIV-3), and to describe infection and co-infection characteristics of HPIV-3 in children.

METHODSSingle respiratory samples from 856 pediatric patients with acute respiratory tract infection (ARI) in Hangzhou were collected from December 2009 to March 2013. All samples were screened for HPIV-3 by real-time RT-PCR and followed by HN sequencing and phylogenetic analysis. In all RSV positive specimens, we screened for the other pathogens, and co-infection characteristics were evaluated.

RESULTSA total of 9.6% of 856 samples were positive for HPIV-3, the nucleotide among the strains ranged from 96.9% to 100%. All Hangzhou strains were placed in C3 subgroup based on HN gene analysis. 49% (n=41) of all HPIV-3-positive children with ARI were found to be co-infected with at least one of the other pathogen. The highest co-infection rate of HPIV-3 was with HRV (n=17). Children in the younger groups (≤12 months old) were significantly more prone to be co-infected with other pathogen (χ(2)=4.78, P=0.029). Pneumonia infection rate was significantly higher in the mono-infection group than the co-infection group (χ(2)=3.92, P=0.048).

CONCLUSIONHPIV-3 was an important pathogen in children with ARI in Hangzhou. HN gene variation rate was low, but showed a more local pattern. The co-infections with other respiratory viruses were popular. Except for pneumonia, no significant differences in other clinical presentation between the HPIV-3 mono-infection and co-infection groups were observed.

Child ; China ; epidemiology ; Genetic Variation ; Humans ; Parainfluenza Virus 3, Human ; Phylogeny ; Real-Time Polymerase Chain Reaction ; Respiratory Tract Infections ; epidemiology ; virology ; Respirovirus Infections ; epidemiology

OBJECTIVETo evaluate the prevalence of avian influenza virus in various environment and the influence factors for subtype H7 prevalence in live poultry markets.

METHODSWe collected environmental samples from various environments across 11 cities of Zhejiang province between October 2014 and March 2015. Cage surface swabs, chopping board surface swabs, feces, water for cleaning, drinking water and swabs of other surfaces were collected. A total of 6 457 samples were collected, including 4 487 samples from poultry markets, 820 samples from poultry farms, 715 samples from backyard poultry pens, 118 samples from poultry processing factories, 118 samples from wild bird habitats and 86 samples from other sites. The chi-squared test was used to compare virus prevalence among sample types, sites types, and poultry markets types. Binary logistic regression was used to analyze factors on H7 subtype prevalence in poultry markets.

RESULTSOf 6 457 samples, 32.54% (2 101) samples were positive for avian influenza, with 3.67% (237) positive for H5 subtype, 12.02%(776) positive for H7 subtype, 11.77%(760) positive for H9 subtype. Of 237 live poultry markets, 33.8% (80) were positive for H7 subtype. The prevalence of influenza A in poultry processing factories was the highest at 43.72% (101/231) (χ(2)=737.80, P<0.001). Poultry markets were contaminated most seriously by subtype H5/H7/H9 with the prevalence of 27.55% (1 236/4 487) (χ(2)=436.37, P<0.001). Compared with markets with 1 type of poultry, OR was 4.58 (95%CI: 1.63-12.87) for markets with ≥2 types of poultry.

CONCLUSIONLive poultry markets and poultry processing factories were contaminated most seriously by avian influenza. The types of poultry might be the factor which influenced the subtype H7 prevalence in poultry markets.

Animals ; Birds ; Environment ; Feces ; Food-Processing Industry ; Influenza A virus ; isolation & purification ; Influenza in Birds ; epidemiology ; Poultry ; virology ; Risk Factors ; Seasons