Institution
Chinese Center for Disease Control and Prevention
Government•Beijing, China•
About: Chinese Center for Disease Control and Prevention is a government organization based out in Beijing, China. It is known for research contribution in the topics: Population & Acquired immunodeficiency syndrome (AIDS). The organization has 16037 authors who have published 15098 publications receiving 423452 citations. The organization is also known as: China CDC & CCDC.
Papers published on a yearly basis
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TL;DR: The results showed that nano-SiO2 exposure exerted toxic effects and altered protein expression in HaCaT cells, and the alterations of the proteins, such as the proteins associated with oxidative stress and apoptosis, could be involved in the toxic mechanisms of nano- SiO2 Exposure.
Abstract: Nanometer silicon dioxide (nano-SiO2) has a wide variety of applications in material sciences, engineering and medicine; however, the potential cell biological and proteomic effects of nano-SiO2 exposure and the toxic mechanisms remain far from clear. Here, we evaluated the effects of amorphous nano-SiO2 (15-nm, 30-nm SiO2). on cellular viability, cell cycle, apoptosis and protein expression in HaCaT cells by using biochemical and morphological analysis, two-dimensional differential gel electrophoresis (2D-DIGE) as well as mass spectrometry (MS). We found that the cellular viability of HaCaT cells was significantly decreased in a dose-dependent manner after the treatment of nano-SiO2 and micro-sized SiO2 particles. The IC50 value (50% concentration of inhibition) was associated with the size of SiO2 particles. Exposure to nano-SiO2 and micro-sized SiO2 particles also induced apoptosis in HaCaT cells in a dose-dependent manner. Furthermore, the smaller SiO2 particle size was, the higher apoptotic rate the cells underwent. The proteomic analysis revealed that 16 differentially expressed proteins were induced by SiO2 exposure, and that the expression levels of the differentially expressed proteins were associated with the particle size. The 16 proteins were identified by MALDI-TOF-TOF-MS analysis and could be classified into 5 categories according to their functions. They include oxidative stress-associated proteins; cytoskeleton-associated proteins; molecular chaperones; energy metabolism-associated proteins; apoptosis and tumor-associated proteins. These results showed that nano-SiO2 exposure exerted toxic effects and altered protein expression in HaCaT cells. The data indicated the alterations of the proteins, such as the proteins associated with oxidative stress and apoptosis, could be involved in the toxic mechanisms of nano-SiO2 exposure.
446 citations
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TL;DR: The analysis of 33 health-related SDG indicators based on the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 highlights the importance of income, education, and fertility as drivers of health improvement but also emphasises that investments in these areas alone will not be sufficient.
441 citations
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University of Auckland1, Deakin University2, University of Pennsylvania3, Curtin University4, The George Institute for Global Health5, Australian National University6, University of Wollongong7, University of Toronto8, Queensland University of Technology9, Chinese Center for Disease Control and Prevention10, Public Health Foundation of India11, University of São Paulo12, British Heart Foundation13, University of the Western Cape14, Southwest University of Visual Arts15, Global Alliance for Improved Nutrition16
TL;DR: Through monitoring and benchmarking, INFORMAS will strengthen the accountability systems needed to help reduce the burden of obesity, NCDs and their related inequalities.
Abstract: 20 Global Alliance for Improved Nutrition (GAIN), Geneva, Switzerland Summary Non-communicable diseases (NCDs) dominate disease burdens globally and poor nutrition increasingly contributes to this global burden. Compre- hensive monitoring of food environments, and evaluation of the impact of public and private sector policies on food environments is needed to strengthen accountability systems to reduce NCDs. The International Network for Food and Obesity/NCDs Research, Monitoring and Action Support (INFORMAS) is a global network of public-interest organizations and researchers that aims to monitor, benchmark and support public and private sector actions to create healthy food environments and reduce obesity, NCDs and their related inequalities. The INFORMAS framework includes two 'process' modules, that monitor the policies and actions of the public and private sectors, seven 'impact' modules that monitor the key characteristics of food environments and three 'outcome' modules that monitor dietary quality, risk factors and NCD morbidity and mortality. Monitoring frameworks and indicators have been developed for 10 modules to provide consistency, but allowing for stepwise approaches ('minimal', 'expanded', 'optimal') to data collection and analysis. INFORMAS data will enable benchmarking of food environments between countries, and monitoring of progress over time within countries. Through monitoring and benchmarking, INFORMAS will strengthen the account- ability systems needed to help reduce the burden of obesity, NCDs and their related inequalities.
436 citations
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Fred Hutchinson Cancer Research Center1, National Institutes of Health2, World Health Organization3, National Institute of Virology4, Centers for Disease Control and Prevention5, National Institute for Medical Research6, King Institute of Preventive Medicine and Research7, University of Cambridge8, Chinese Center for Disease Control and Prevention9, University of California, Los Angeles10, Katholieke Universiteit Leuven11
TL;DR: Detailed epidemic models support differences in age of infection, combined with the less frequent travel of children, as probable drivers of the differences in the patterns of global circulation, suggesting a complex interaction between virus evolution, epidemiology, and human behaviour.
Abstract: Understanding the spatiotemporal patterns of emergence and circulation of new human seasonal influenza virus variants is a key scientific and public health challenge. The global circulation patterns of influenza A/H3N2 viruses are well characterized, but the patterns of A/H1N1 and B viruses have remained largely unexplored. Here we show that the global circulation patterns of A/H1N1 (up to 2009), B/Victoria, and B/Yamagata viruses differ substantially from those of A/H3N2 viruses, on the basis of analyses of 9,604 haemagglutinin sequences of human seasonal influenza viruses from 2000 to 2012. Whereas genetic variants of A/H3N2 viruses did not persist locally between epidemics and were reseeded from East and Southeast Asia, genetic variants of A/H1N1 and B viruses persisted across several seasons and exhibited complex global dynamics with East and Southeast Asia playing a limited role in disseminating new variants. The less frequent global movement of influenza A/H1N1 and B viruses coincided with slower rates of antigenic evolution, lower ages of infection, and smaller, less frequent epidemics compared to A/H3N2 viruses. Detailed epidemic models support differences in age of infection, combined with the less frequent travel of children, as probable drivers of the differences in the patterns of global circulation, suggesting a complex interaction between virus evolution, epidemiology, and human behaviour.
433 citations
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TL;DR: Four factors have driven China's response to the HIV/AIDS pandemic: existing government structures and networks of relationships, increasing scientific information, external influences that underscored the potential consequences of an HIV/ AIDS pandemic, accelerated strategic planning, and increasing political commitment at the highest levels.
428 citations
Authors
Showing all 16076 results
Name | H-index | Papers | Citations |
---|---|---|---|
Richard Peto | 183 | 683 | 231434 |
Barry M. Popkin | 157 | 751 | 90453 |
Jian Yang | 142 | 1818 | 111166 |
Edward C. Holmes | 138 | 824 | 85748 |
Jian Li | 133 | 2863 | 87131 |
Shaobin Wang | 126 | 872 | 52463 |
Elaine Holmes | 119 | 560 | 58975 |
Jian Liu | 117 | 2090 | 73156 |
Sherif R. Zaki | 107 | 417 | 40081 |
Jun Yang | 107 | 2090 | 55257 |
Nan Lin | 105 | 687 | 54545 |
Li Chen | 105 | 1732 | 55996 |
Ming Li | 103 | 1669 | 62672 |
George F. Gao | 102 | 793 | 82219 |
Tao Li | 102 | 2483 | 60947 |