[Influence of Meteorological Factors on HFMD and Construction of Prediction Model in Sichuan Province].

OBJECTIVE: To analyze the epidemiological characteristics of hand, foot and mouth disease (HFMD) in Sichuan Province from 2013 to 2019. To study the correlation between meteorological factors and the incidence of HFMD and construct a prediction model. METHODS: The HMFD surveillance data and meteorological data from 2013 to 2019 in Sichuan Province were collected through the Chinese Center for Disease Control and Prevention and the China Meteorological data Network. Spearman correlation was used to analyze the relationship between HFMD incidence and meteorological factors. Multiple regression model and support vector regression (SVR) model were used to construct HFMD incidence prediction models respectively. RESULTS: A total of 615 840 cases of HFMD and 81 deaths were reported from 2013 to 2019. The average annual incidence rate was 107.31/105, and the mortality rate was 0.16/106. Spearman correlation analysis showed that the monthly incidence rate of HFMD was correlated with monthly average relative humidity (r=0.342), monthly average temperature (r=0.284), monthly average water vapor pressure (r=0.304) and monthly average days of precipitation (r=0.259). The prediction effect of the SVR model (R2=0.836) was better than the multiple regression model (R2=0.375). The SVR model provided a good fit to the monthly incidence of HFMD from 2013 to 2018, and can predict the peak incidence of HFMD in 2019. CONCLUSION: Relative humidity has the greatest influence on the incidence of HFMD. The fitting value of SVR model is in good agreement with the actual value, which is valuable in predicting the incidence of HFMD in Sichuan Province.

[Association of polymorphisms in signal transducer and activator of transcription 4 gene and the susceptibility to unexplained recurrent spontaneous abortions].

OBJECTIVE: To investigate the association between the polymorphisms of signal transducer and activator of transcription 4 (STAT4) gene and the susceptibility to unexplained recurrent spontaneous abortion(URSA). METHODS: PCR-restriction fragment length polymorphism (PCR-RFLP) was used to detect genotype 3 loca (rs7574865 G/T, rs10181656 C/G and rs16833431 C/T) polymorphism of STAT4 in 246 URSA cases (URSA group) and 183 normal controls (control group) . RESULTS: (1)The frequencies of rs7574865 were genotype G/G of 36.2% (89/246) in URSA group and 46.4% (85/183) in control group, genotype G/T of 47.2% (116/246) in URSA group and 45.4% (83/183) in control group, and genotype T/T of 16.7% (41/246) in URSA group and 8.2% (15/183) in control group, which reached statistical difference (P < 0.05). The frequencies of rs10181656 were genotype CC of 36.6% (90/246) in URSA group and 46.4% (85/183) in control group, genotype C/G of 48.0% (118/246) in URSA group and 44.8% (82/183) in control group, and genotype G/G of 15.4% (38/246) in URSA group and 8.7% (16/183) in control group, which reached statistical difference (P < 0.05). The carriers of rs7574865 T allele and rs10181656 G allele increased the risk of URSA (OR = 1.51, 1.44, all P < 0.05).(2) There was no different distribution in 3 genotypes (C/C, C/T, T/T) and 2 alleles (C and T) of rs16833431 C/T between URSA patients and normal controls (P = 0.43,0.48). (3) Timated haplotype frequency distribution of rs7574865 G/T and rs10181656 C/G showed haplotype G-T conferring the susceptibility to URSA (OR = 1.49, P < 0.01), but haplotype C-G could provide protection on URSA (OR = 0.68, P < 0.01). CONCLUSION: Polymorphisms of STAT4 gene might confer the susceptibility to URSA by altering STAT4 function and (or) its expression.

Fe3O4 and metal-organic framework MIL-101(Fe) composites catalyze luminol chemiluminescence for sensitively sensing hydrogen peroxide and glucose.

In this work, Fe3O4 and metal-organic framework MIL-101(Fe) composites (Fe3O4/MIL-101(Fe)) was demonstrated to possess excellent catalytic property to directly catalyze luminol chemiluminescence without extra oxidants. We utilized Fe3O4/MIL-101(Fe) to develop a ultra-sensitive quantitative analytical method for H2O2 and glucose. The possible mechanism of the chemiluminescence reaction had been investigated. Under optimal conditions, the relative chemiluminescence intensity was linearly proportional to the logarithm of H2O2 concentration in the range of 5-150nM with a limit of detection of 3.7nM (signal-to-noise ratio = 3), and glucose could be linearly detected in the range from 5 to 100nM and the detection limit was 4.9nM (signal-to-noise ratio = 3). Furthermore, the present approach was successfully applied to quantitative determination of H2O2 in medical disinfectant and glucose in human serum samples.