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ObjectiveCoronavirus disease 2019 (COVID-19) is a serious infectious disease, which has caused great number of deaths and health problems worldwide. This study aims to examine the effects of airborne particulate matter (PM) pollution on COVID-19 across China. MethodsIn this study, we obtained confirmed cases of COVID-19, the data of airborne ambient PM with aerodynamic diameter [≤] 2.5 m (PM2.5) and [≤] 10 m (PM10), ambient temperature (AT), absolute humidity (AH) and migration scale index (MSI) in 72 cities of China (excluded Wuhan city) on a daily basis, each of which confirmed more than 50 cases from January 20th to March 2nd, 2020. We applied a two-stage analysis. Generalized additive models with quasi-Poisson distribution was first fitted to estimate city-specific effects of PM10 and PM2.5 on daily confirmed COVID-19 cases while controlling AT, AH and MSI. Then, we used meta-analysis to generate the pooled effect estimates from city-specific results. ResultsDuring the study period, there were a total of 24 939 COVID-19 cases, most of which were reported in Hubei Province. In our meta-analysis, we found each 10 g/m3 increase in concentration of PM2.5 and PM10 in single day lag (from lag 0 to lag 7 and lag 14) were positively associated with confirmed cases of COVID-19, not including PM10 at lag 5, lag 6 and lag 7, and PM2.5 at lag 5, lag 6. Similar trend was also found in different cumulative lag days (from lag 01 to lag 07 and lag 014). The effects of PM2.5 and PM10 on daily COVID-19 confirmed cases are statistically significant for three cumulative lag periods over 3, 7 and 14 days with the greatest effect over 14 days. The estimated RRs of which were 1.64 (95% CIs: 1.47, 1.82) and 1.47 (95% CIs: 1.34, 1.61) with each 10 g/m3 increase in concentrations of PM2.5 and PM10, respectively. In addition, we found that the effects of PM2.5 on daily confirmed cases were greater than PM10 in all included lag days. ConclusionsThis nationwide study suggests that airborne PM pollution likely increases the risk of getting COVID-19 in China.
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ObjectiveTo study the expression of EZH2 gene in cervical squamous carcinoma and its clinicopathologic significance. MethodsThe expression of EZH2 mRNA was detected in 21 samples of normal cervical tissue, 27 samples of CIN tissue and 48 samples of cervical squamous carcinoma tissue by RT-PCR. And the relationship between EZH2 expression and the clinical pathological characteristic was analyzed. ResultsThe level of EZH2 mRNA in cervical squamous carcinoma tissues(1.67±0.01)were significantly higher than that in the normal cervical tissues (0) and CIN tissues (0.36±0.02) (P ＜ 0.01).There was no correlation between EZH2 and ages (P ＞ 0.05), while the expression of EZH2 was highly correlated with histologic stage,clinical stage,muscular invasion depth and lymph node metastasis of cervical squamous carcinoma (P ＜ 0.01).ConclusionThe over-expression of the EZH2mRNA may play an important role in the pathogenesis and progression of cervical squamous carcinoma,suggesting that EZH2 might be a new biomarker for diagnosing cervical squamous carcinoma.
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Objective To investigate the differences in neuroimaging between large artery atherosclerosis and small subcortical infarction (SSI). Methods The consecutive hospitalized patients with acute SSI were divided into large atherosclerotic stroke group and small-artery occlusive stroke group according to the evidence-based etiolologic classification of ischemic stroke (the SSS-TOAST criteria). The neuroimaging features between the two groups were compared.Results A total of 118 patients with SSI were recruited. Seven patients with cardiogenic cerebral embolism were excluded from the study. Three were stroke of other determined etiology and 7 were cryptogenic stroke. Twenty-six patients in the large artery atherosclerotic stroke group had new infarcts (3.69 ± 5. 79), 50％ of them were multiple lesions, mainly a half oval in the center (P ＜0. 01); 75 patients in the small-artery occlusive stroke group had new infarcts (1.08 ±0. 51), only 3 (3.7％) were mltiple lesions, and they were in the different artery territories.Compared to the large atherosclerotic stroke group, the white matter lesions was more severe in the small-artery occlusive stroke group (P =0. 04), and most of them were accompanied by silent infarction (P =0. 012). Conclusions The large atherosclerotic SSI was mostly multiple infarcts in a half oval in the center, while the small artery occlusive SSI was mostly single infarct, and was usually accompanied by severe white matter lesions and silent infarction.
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To investigate the the possibility to utilize the cellular fatty acid (CFA) information as a method in Brucella typing, 90 Brucella strains were subjected to the study on CFAs, and all the experimental strains were inoculated on Brucella Agar plates for 48 hours. After that, cells were harvested, saponificated, methylated and extracted to provide fatty acids methylesters for gas chromatography analysis. Based on the CFAs data matrix, dendrogram of 90 experimental strains was generated by SPSS11.5 software package. As shown in the dendrogram, 90 Brucella strains could be divided into 5 clusters. The first cluster included some species of Brucella abortus,Brucella melitensis,Brucella suis, Brucella ovis; and some of the variant strains of Brucella abortus and Brucella melitensis and the typical strain of Brucella neotomae. The second cluster included typical strains of Brucella suis (1,2,3 and 5 types); vaccine strains of Brucella suis S2; vaccine strains of Brucella melitensis M28、Rev.1 and typical strain of Brucella ovis. The third cluster included some of Brucella melitensis; some of the variant strains of Brucella melitensis; some of Brucella abortus(3,6 types); Brucella canis and Brucella ovis. The fourth cluster was the typical strain of Brucella canis.and the fifth cluster included some of Brucella melitensis(1 type); some of Brucella abortus (1 type); some of the variant strains of Brucella melitensis and Brucella suis(1,3 type). It is apparent that CFAs information can be used in brucella typing. and Brucella suis and Brucella canis can be distinguished by the difference in the CFA contents of 3 fatty acids 19:0CYCLOω8c, 18:1ω7c and 16:0. The results of CFAs typing in Brucella species show that Brucella canis includes 2 biovars at least and the high homologization of Brucella abortus (3 type) and Brucella abortus(6 type) can be found.
