ABSTRACT
Objective:To investigate the effects of online learning on children's vision. Methods We collected the vision data of children from the Huainan area recorded during December 1-31, 2019 (before online learning) and from December 31, 2020 to January 31, 2021 (after online learning) in Affiliated Ophthalmic Hospital of Anhui University of Science and Technology. These data were divided into three groups according to different age brackets: primary school (6-12 years, n = 1 124), middle school group (> 12-15 years, n = 552), and junior high group (> 15-18 years, n = 554). The change in vision after online learning relative to before online learning was analyzed using SPSS 22.0 software. Results Before online learning, the overall incidence of myopia was 52.70%, the incidence of myopia was 25.31% for 6-12 years old, 71.89% for > 12-15 years old, and 88.34% for > 15-18 years old. After online learning, the overall incidence of myopia was 62.40%, the incidence of myopia was 40.25% for 6-12 years old, 78.60% for > 12-15 years old, and 91.88% for > 15-18 years old. There were significant differences in the prevalence of myopia in each age bracket between before and after online learning ( χ2 = 21.44, P < 0.001). Conclusion Online learning greatly affects the vision of adolescents. Corresponding measures should be formulated to strengthen the prevention and control of myopia in children.
ABSTRACT
Myocardial ischemia-reperfusion injury (MI/RI) is an inflammatory cascade process involving the interaction of multiple factors.In recent years,more and more evidence suggests that NOD-like receptor pyrin domain containing 3 (NLRP3) inflammasome,an important component of the innate immune system,is closely associated with the inflammatory damage of MI/RI.Furthermore,blockage of NLRP3 inflammasome or the release of its downstream pro-inflammatory cytokines may provide new therapeutic targets for this disorder.
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Objective:To investigate the role of sterol regulatory element binding protein-1 (SREBP1) in atorvastatin-induced reduction of nucleotide-binding oligomerization domain-like receptor protein 1 ( NLRP1 ) inflammasome expression. Methods:THP-1 cells were treated with phorbol 12-myristate 13-acetate (160 nmol/L) for 12 h to be differentiated into macrophages. The medium was then replaced with serum-free medium containing lipopolysaccharide and ( or ) atorvastatin. The mRNA expression of NLRP1 and SREBP1 were detected by Real-time PCR. The protein expression of NLRP1 and SREBP1 were determined by Western blot. Furthermore, we observed the effect of SREBP1 siRNA on atorvastatin-induced reduction of NLRP1 expression. Results:Atorvastatin inhibited the mRNA and protein expression of NLRP1 and SREBP1 in the THP-1 macrophages. SREBP1 siRNA showed no significant difference on lowering NLRP1 expression when compared with atorvastatin. Treating cells with SREBP1 siRNA and atorvastatin at the same time resulted in more obvious reduction of NLRP1 expression than single use of SREBP1 siRNA or atorvastatin. Conclusion:Atorvastatin might exert anti-inflammatory effect by repressing NLRP1 expression through the SREBP1 path-way.
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<p><b>OBJECTIVE</b>To compare the application valuable of flexible spatial scan statistics and kulldorff scanning window in the cluster detection and early warning of hepatitis A.</p><p><b>METHODS</b>The case numbers and incidence data of hepatitis A in 2012 for all the counties (cities, districts)in Yunnan province were collected from China Information System for Disease Control and Prevention and the total number was 1 335. By extracting the time length by month, the flexible spatial scan statistics was tested by retrospective analyses of hepatitis A data in Yunnan in 2012 and compared the results with the Kulldorff circular scan statistic analyses.</p><p><b>RESULTS</b>The results of flexible scanning window showed that there were fifteen hepatitis A spatial clusters in Yunnan province in 2012 and in July, these areas including Gejiu county, Mengzi county and Wenshan county had the strongest clusters (the log likelihood ratio (LLR) = 52.66, P = 0.001). The results of Kulldorff scanning window showed that there were twenty hepatitis A spatial clusters and these areas including Gejiu county, Hekou county, Maguan county, Mengzi county, Pingbian county, Wenshan county had the strongest clusters (LLR = 47.82, P = 0.001). The results of the flexible scanning window were the same as the actual monitoring results. But the results of Kulldorff scanning window showed that in May and June some areas without incidence had the clusters.</p><p><b>CONCLUSION</b>Flexible scanning window can detect the monthly clusters of the Hepatitis A. Flexible scanning window had a higher accuracy than Kulldorff irregular circular scanning window. Flexible spatial scan statistics had the value in the use of spatial aggregation detecting on hepatitis A.</p>