Finally, a RCC xenograft model was generated in nude mice, aiming to further clarify the in vivo function of APOC1 in RCC process. APOC1 was upregulated in RCC samples. Notably, its level was correlated to overall survival of RCC patients, displaying a certain prognostic value. APOC1 was able to stimulate proliferative, migratory and invasive abilities in RCC cells. The Wnt3a signaling was identified to be involved in APOC1-mediated RCC process. Notably, Wnt3a was able to reverse the regulatory effects of APOC1 on RCC cell phenotypes. In vivo knockdown of APOC1 in xenografted nude mice slowed down the growth of RCC. APOC1 stimulates the malignant process of RCC via targeting the Wnt3a signaling.APOC1 stimulates the malignant process of RCC via targeting the Wnt3a signaling. Fucoidan, a water-soluble polysaccharide, exerts anticoagulant and antiviral functions. It was recently reported that fucoidan also exerts an antitumor function. Lung cancer is one of the most common cancers in the world. The aim of this study was to investigate anti-tumor,apoptosis and anti-metastasis effects of fucoidan in both cell-based assays and mouse xenograft model, as well as to clarify possible role of m-TOR pathway in the protection. In vitro Different concentrations of fucoidan were given to act on non-small cell lung cancer (NSCLC) cell lines A549 and H1650. The effects of fucoidan on cell proliferation were observed by detecting cyclin expression levels, CCK8 and EDU experiments and cloning experiments. The apoptotic level was detected by flow cytometry and the apoptotic protein level was detected by Westernblot. By detecting the expression of adhesion molecules, the expression of matrix metalloproteinase (MMP) family, and Transwell cell invasion and migration experiment, the effect of fucoiumes and weights. These indicators (Ki67, VEGF-A,N-cadherin) were decreased and E-cadherin expression was up-regulated in A549 mice that treated with fucoidan. The results showed that fucoidan inhibited tumor proliferation in vivo by affecting the expression of related proteins. Fucoidan conveys antitumor effects and our results represent an ideal therapeutic agent for NSCLC.Fucoidan conveys antitumor effects and our results represent an ideal therapeutic agent for NSCLC. Type 2 diabetes complications cause a serious emotional and economical burden to patients and healthcare systems globally. Management of both acute and chronic complications of diabetes, which dramatically impair the quality of patients' life, is still an unsolved issue in diabetes care, suggesting a need for early identification of individuals with high risk for developing diabetes complications. We performed a genome-wide association study in 601 type 2 diabetes patients after stratifying them according to the presence or absence of four types of diabetes complications diabetic neuropathy, diabetic nephropathy, macrovascular complications, and ophthalmic complications. The analysis revealed ten novel associations showing genome-wide significance, including rs1132787 (GYPA, OR = 2.71; 95% CI = 2.02-3.64) and diabetic neuropathy, rs2477088 (PDE4DIP, OR = 2.50; 95% CI = 1.87-3.34), rs4852954 (NAT8, OR = 2.27; 95% CI = 2.71-3.01), rs6032 (F5, OR = 2.12; 95% CI = 1.63-2.77), rs6935464 (RPS6KA2, OR = 2.25; sistent effect for multiple variants across different populations. Ensuring safety and wellbeing of healthcare providers is crucial, particularly during times of a pandemic. In this study, we aim to identify the determinants of anxiety in physicians on duty in coronavirus wards or quarantine centers. We conducted a cross-sectional quantitative survey with an additional qualitative item. BAY 43-9006 concentration Five constructs of workload, exhaustion, family strain, feeling of protection, and anxiety were measured using items from two validated tools. Modifications were made for regional relevance. Factor analysis was performed showing satisfactory Cronbach alpha results. Overall, 103 physicians completed the questionnaire. T-test results revealed significant associations between gender and anxiety. Structural equation modeling identified that high workload contributed to greater exhaustion (β = 0.41, R  = 0.17, p < 0.001) and greater family strain (β = 0.47, R  = 0.22, p < 0.001). Exhaustion (β = 0.17, p < 0.005), family strain (β = 0.34, p < 0.001), and feelings of protection (n for patient safety. The COVID-19 has caused a sizeable global outbreak and has been declared as a public health emergency of international concern. Sufficient evidence shows that temperature has an essential link with respiratory infectious diseases. The objectives of this study were to describe the exposure-response relationship between ambient temperature, including extreme temperatures, and mortality of COVID-19. The Poisson distributed lag non-linear model (DLNM) was constructed to evaluate the non-linear delayed effects of ambient temperature on death, by using the daily new death of COVID-19 and ambient temperature data from January 10 to March 31, 2020, in Wuhan, China. During the period mentioned above, the average daily number of COVID-19 deaths was approximately 45.2. Poisson distributed lag non-linear model showed that there was a non-linear relationship (U-shape) between the effect of ambient temperature and mortality. With confounding factors controlled, the daily cumulative relative death risk decreased by 12.3% (95% CI [3.4, 20.4%]) for every 1.0 °C increase in temperature. Moreover, the delayed effects of the low temperature are acute and short-term, with the most considerable risk occurring in 5-7 days of exposure. The delayed effects of the high temperature appeared quickly, then decrease rapidly, and increased sharply 15 days of exposure, mainly manifested as acute and long-term effects. Sensitivity analysis results demonstrated that the results were robust. The relationship between ambient temperature and COVID-19 mortality was non-linear. There was a negative correlation between the cumulative relative risk of death and temperature. Additionally, exposure to high and low temperatures had divergent impacts on mortality.The relationship between ambient temperature and COVID-19 mortality was non-linear. There was a negative correlation between the cumulative relative risk of death and temperature. Additionally, exposure to high and low temperatures had divergent impacts on mortality.