Objective:To investigate the role of NIMA-related kinase-7 (NEK7) in breast cancer (BC) and its potential molecular mechanism.Methods:Quantitative real-time reverse-transcription (RT-qPCR) was used to detect the expression of NEK7 in BC tissue and cell lines. The effect of NEK7 on BC cell proliferation was examined by CCK-8. Proteins interacted with NEK7 were screened in Biological database. The effect of overexpression of NOD-like receptor protein 3 (NLRP3) on BC cell proliferation was evaluated. Western blot was used to detect NLRP3 protein expression, and ELISA was employed to evaluate IL-1β and IL-18 expression level.Result:NEK7 was upregulated in BC tissues and cells, and enforced-expression of NEK7 promoted BC cell proliferation[NEK7 over-expression group: 24 h: (0.33±0.02) , 48 h: (0.59±0.02) , 72 h: (0.76±0.02) ; Blank group: 24 h: (0.30±0.02) , 48 h: (0.45±0.02) , 72 h: (0.62±0.03) ; NEK7 empty vector group: 24 h: (0.32±0.02) , 48 h: (0.46±0.02) , 72 h: (0.63±0.03) ]. There was a positive correlation between NEK7 and NLRP3 ( R=0.13) . Overexpression of NLRP3 increased the proliferation ability of BC cell[NLRP3 over-expression group: 24 h: (0.35±0.02) , 48 h: (0.65±0.02) , 72 h: (0.80±0.03) ; Blank group: 24 h: (0.33±0.02) , 48 h: (0.51±0.02) , 72 h: (0.66±0.03) ; NLRP3 empty vector group: 24 h: (0.34±0.02) , 48 h: (0.52±0.03) , 72 h: (0.66±0.03) ]. NEK7 could positively regulate NLRP3 protein and up-regulate IL-1β (NEK7 over-expression group: 129.96±7.62 pg/ml, Blank group: 19.80±2.42pg/ml, NEK7 empty vector group: 21.30±1.77 pg/ml) and IL-18 (NEK7 over-expression group: 144.08±17.20 pg/ml, Blank group: 16.84±2.34pg/ml, NEK7 empty vector group: 17.64±1.94 pg/ml) expression. Conclusion:The upregulation of NEK7 was involved in the process of BC progression by inducing NLRP3 inflammasome activation, suggesting that NEK7 might be a promising therapeutic target for BC.

Objective To explore the correlation between serum growth differentiation factor‐15(GDF‐15) level and acute myocardial infarction(AMI) to provide a basis for the prognostic evaluation of AMI .Methods Totally 192 Han patients with AMI (AMI group) and non‐coronary heart disease (NCHD ,NCHD group) diagnosed in Chengde Municipal Central Hospital from Sep‐tember 2013 to January 2015 ,were selected and their clinical data were collected .The biochemical markers and serum GDF‐15 level were detected .Results Comparing the AMI group with the NCHD group ,differences in the patients′age ,smoking ,blood glucose (Glu) ,TC ,TG ,LDL‐C levels had statistical significance (P<0 .05);the serum GDF‐15 level in the AMI group was significantly higher than that in the NCHD ;serum GDF‐15 level was positively correlated with TC ,LDL‐C ,hs‐CRP and Glu in the AMI group . Conclusion The increase of serum GDF‐15 level is obviously correlated AMI ,therefore GDF‐15 can serve as an indicator for moni‐toring myocardial infarction .

【Objective】 To evaluate the factors affecting urinary stone detection rate using virtual unenhanced (VUE) images obtained from triphasic dual-energy CT urography (DECTU) based on Logistic regression analysis. 【Methods】 For this study, 150 patients who had suspected urinary stone and underwent triphasic DECTU were included. The true unenhanced (TUE) images were reconstructed as 120 kVp-like images, and VUE images at the portal venous phase [VUE(VP)] and excretory phase [VUE(EP)] were obtained using iodine removal technique from portal venous and excretory phase DECTU images, respectively. Two readers independently evaluated the above three types of images, and recorded the number of urinary stones, their anatomical locations, and whether there was residual iodine on the VUE images. Stone size and CT number were recorded only on the TUE images. Stone size, CT number, anatomical location, and iodine contrast agent were included in univariate and multivariate Logistic regression analyses to evaluate the factors affecting urinary stone detection rate using VUE images. Thresholds for detecting urinary stones on VUE images were determined using receiver operating characteristics (ROC) analysis. 【Results】 We detected 304 stones on TUE images, while the detection rates were 92.4% and 71.4% when using VUE (VP) and VUE (EP) images, respectively. Stone size and CT number were important factors influencing urinary stone detection rate using VUE (VP) and VUE (EP) images (P<0.01). The area under curve (AUC) of using stone size and CT number for detecting stones using the VUE (VP) images was up to 0.96, and as threshold values, stones with size larger than 3.52 mm and CT number greater than 469 HU were found to have high accuracy. However, the AUC decreased to 0.88 when we combined stone size, CT number and anatomical location using the VUE (EP) images. In addition, different contrast agents did not affect the detection rate of stones on the VUE (EP) images (P=0.57). The stone detection rate in the kidney was significantly lower than those on the VUE (EP) images (P<0.001). 【Conclusion】 VUE (VP) images provide better stone detection. Stone size and CT number have significant impacts on the stone detection rate using VUE images. The lower stone detection rate in the kidney on the VUE (EP) images is related to the residual iodine.

BACKGROUND: The hemoglobin glycation index (HGI) was developed to quantify glucose metabolism and individual differences and proved to be a robust measure of individual glycosylated hemoglobin (HbA1c) bias. Here, we aimed to explore the relationship between different HGIs and the risk of 5-year major adverse cardiovascular events (MACEs) by performing a large multicenter cohort study in China. METHODS: A total of 9791 subjects from the Risk Evaluation of Cancers in Chinese Diabetic Individuals: a Longitudinal Study (the REACTION study) were divided into five subgroups (Q1-Q5) with the HGI quantiles (≤5th, >5th and ≤33.3th, >33.3th and ≤66.7th, >66.7th and ≤95th, and >95th percentile). A multivariate logistic regression model constructed by the restricted cubic spline method was used to evaluate the relationship between the HGI and the 5-year MACE risk. Subgroup analysis between the HGI and covariates were explored to detect differences among the five subgroups. RESULTS: The total 5-year MACE rate in the nationwide cohort was 6.87% (673/9791). Restricted cubic spline analysis suggested a U-shaped correlation between the HGI values and MACE risk after adjustment for cardiovascular risk factors ( χ2 = 29.5, P <0.001). After adjustment for potential confounders, subjects with HGIs ≤-0.75 or >0.82 showed odds ratios (ORs) for MACE of 1.471 (95% confidence interval [CI], 1.027-2.069) and 2.222 (95% CI, 1.641-3.026) compared to subjects with HGIs of >-0.75 and ≤-0.20. In the subgroup with non-coronary heart disease, the risk of MACE was significantly higher in subjects with HGIs ≤-0.75 (OR, 1.540 [1.039-2.234]; P = 0.027) and >0.82 (OR, 2.022 [1.392-2.890]; P <0.001) compared to those with HGIs of ≤-0.75 or >0.82 after adjustment for potential confounders. CONCLUSIONS We found a U-shaped correlation between the HGI values and the risk of 5-year MACE. Both low and high HGIs were associated with an increased risk of MACE. Therefore, the HGI may predict the 5-year MACE risk.
Humans ; Cohort Studies ; Longitudinal Studies ; Diabetes Mellitus, Type 2/diagnosis* ; Maillard Reaction ; Glycated Hemoglobin ; Cardiovascular Diseases

Objective: To investigate the positive rate for 2019-nCoV tests and co-infections in Wuhan district. Methods: A total of 8 274 cases in Wuhan were enrolled in this cross-sectional study during January 20 to February 9, 2020, and were tested for 2019-nCoV using fluorescence quantitative PCR. Both respiratory tract samples (nasopharynx, oropharynx, sputum and alveolar lavage fluid) and non-respiratory tract samples (urine, feces, anal swabs, blood and conjunctival sac swabs) were collected. If both orf1ab and N genes are positive, they are classified as nucleic acid test positive group; if both orf1ab and N genes are negative, they are classified as negative group; if single gene target is positive, they are classified as suspicious group. Individuals were divided into male group and female group according to sex. At the same time, 316 patients were tested for 13 respiratory pathogens by multiplex PCR. Results: Among the 8 274 subjects, 2 745 (33.2%) were 2019-nCoV infected; 5 277 (63.8%) subjects showed negative results in the 2019-nCoV nucleic acid test; and 252 cases (3.05%) was not definitive (inconclusive result). The age of cases with COVID-19 patients and inconclusive cases was significantly higher than that of cases without 2019-nCoV infection (40 vs 56, t=27.569, P<0.001; 52 vs 56, t=6.774, P<0.001). The positive rate of 13 respiratory pathogens multiple tests was significantly lower in 104 subjects who were positive for 2019-nCoV compared with those in subjects who were negative for 2019-nCoV test (5.77% vs 18.39%, χ²=24.105, P=0.003). Four types of respiratory tract samples and five types of non-respiratory tract samples were found to be positive for 2019-nCoV nucleic acid test. Conclusion The 2019-nCoV nucleic acid positive rate in male is higher than in female. Co-infections should be pay close attention in COVID-19 patients. 2019-nCoV nucleic acid can be detected in non-respiratory tract samples.