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Institution

Chinese Center for Disease Control and Prevention

GovernmentBeijing, 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
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Journal ArticleDOI
TL;DR: An overview of the procedures involved in scientific substantiation of functionalFood health claims in China is provided, including a discussion of the distribution of the 27 currently allowed functional food health claims.
Abstract: This article provides an overview of the procedures involved in scientific substantiation of functional food health claims in China. The definition of a functional food is discussed, in addition to the factors that led to its modification in 2005. The framework of administration includes the regulation of functional foods, steps involved in submission of dossiers, the safety control system for raw materials and products, and technical procedures for testing and evaluation. Scientific evidence required for a claim includes evidence from product tests in addition to evidence resulting from complete scientific literature searches relative to the food material or component in question. Currently, the 4 main rules for functional food assessment in China include 1) functional assessment procedures; 2) standard toxicological assessment; 3) regulations on nutrient supplements; and 4) standard analytical methods for functional components. The current situation for functional foods in China is analyzed, including a discussion of the distribution of the 27 currently allowed functional food health claims. The effectiveness of functional foods and health claims for improving health relies largely on the motivation and education of the public to be able to make good choices.

97 citations

Journal ArticleDOI
TL;DR: A newly identified parvovirus, human bocavirus (HBoV), was found in 21 (8.3%) of 252 nasopharyngeal aspirates from hospitalized children with lower respiratory tract infection in Hunan Province, China as mentioned in this paper.
Abstract: A newly identified parvovirus, human bocavirus (HBoV), was found in 21 (8.3%) of 252 nasopharyngeal aspirates from hospitalized children with lower respiratory tract infection in Hunan Province, People’s Republic of China. Viral loads were 104 to 1010 copies/mL. Phylogenetic analysis of the VP1 gene showed a single genetic lineage of HBoV worldwide.

97 citations

Journal ArticleDOI
TL;DR: It is found that 34 of the 48 cytokines and chemokines examined in this study were significantly elevated in the plasma samples from patients infected with H7N9 and the profile of mediators MIF, SCF, MCP-1, HGF, SCGF-β, IP-10, IL-18, and IFN-γ is an independent outcome predictor.
Abstract: The novel avian origin influenza A (H7N9) virus has caused severe diseases in humans in eastern China since the spring of 2013. Fatal outcomes of H7N9 infections are often attributed to the severe pneumonia and acute respiratory distress syndrome (ARDS). There is urgent need to discover biomarkers predicting the progression of disease and fatal outcome of potentially lethal flu infections, based on sound statistical analysis. We discovered that 34 of the 48 cytokines and chemokines examined in this study were significantly elevated in the plasma samples from patients infected with H7N9. We report for the first time that the levels of MIF, SCF, MCP-1, HGF, and SCGF-β are highly positively linked to disease severity and the profile of mediators MIF, SCF, MCP-1, HGF, SCGF-β, IP-10, IL-18, and IFN-γ is an independent outcome predictor.

97 citations

Journal ArticleDOI
TL;DR: A single tick species is identified that harbors multiple species of Rickettsiales, and extensive genetic diversity of these bacteria is uncovered in two tick species from Xinjiang, suggesting the presence of potentially novel species in ticks in Xinjiang.
Abstract: Bacteria of the order Rickettsiales (Alphaproteobacteria) are obligate intracellular parasites that infect species from virtually every major eukaryotic lineage. Several rickettsial genera harbor species that are significant emerging and re-emerging pathogens of humans. As species of Rickettsiales are associated with an extremely diverse host range, a better understanding of the historical associations between these bacteria and their hosts will provide important information on their evolutionary trajectories and, particularly, their potential emergence as pathogens. Nine species of Rickettsiales (two in the genus Rickettsia, three in the genus Anaplasma, and four in the genus Ehrlichia) were identified in two species of hard ticks (Dermacentor nuttalli and Hyalomma asiaticum) from two geographic regions in Xinjiang through genetic analyses of 16S rRNA, gltA, and groEL gene sequences. Notably, two lineages of Ehrlichia and one lineage of Anaplasma were distinct from any known Rickettsiales, suggesting the presence of potentially novel species in ticks in Xinjiang. Our phylogenetic analyses revealed some topological differences between the phylogenies of the bacteria and their vectors, which led us to marginally reject a model of exclusive bacteria-vector co-divergence. Ticks are an important natural reservoir of many diverse species of Rickettsiales. In this work, we identified a single tick species that harbors multiple species of Rickettsiales, and uncovered extensive genetic diversity of these bacteria in two tick species from Xinjiang. Both bacteria-vector co-divergence and cross-species transmission appear to have played important roles in Rickettsiales evolution.

96 citations

Journal ArticleDOI
01 Sep 2015-BMJ Open
TL;DR: This study identifies susceptibility based on both individual-level and community-level effect modifiers; more attention should be given to these vulnerable individuals and communities to reduce adverse health effects of extreme temperatures.
Abstract: Objectives - To examine the modification of temperature-mortality association by factors at the individual and community levels. Design and methods - This study investigated this issue using a national database comprising daily data of 66 Chinese communities for 2006–2011. A ‘threshold-natural cubic spline’ distributed lag non-linear model was utilised to estimate the mortality effects of daily mean temperature, and then examined the modification of the relationship by individual factors (age, sex, education level, place of death and cause of death) using a meta-analysis approach and community-level factors (annual temperature, population density, sex ratio, percentage of older population, health access, household income and latitude) using a meta-regression method. Results - We found significant effects of high and low temperatures on mortality in China. The pooled excess mortality risk was 1.04% (95% CI 0.90% to 1.18%) for a 1°C temperature decrease below the minimum mortality temperature (MMT), and 3.44% (95% CI 3.00% to 3.88%) for a 1°C temperature increase above MMT. At the individual level, age and place of death were found to be significant modifiers of cold effect, while age, sex, place of death, cause of death and education level were effect modifiers of heat effect. At the community level, communities with lower socioeconomic status and higher annual temperature were generally more vulnerable to the mortality effects of high and low temperatures. Conclusions - This study identifies susceptibility based on both individual-level and community-level effect modifiers; more attention should be given to these vulnerable individuals and communities to reduce adverse health effects of extreme temperatures.

96 citations


Authors

Showing all 16076 results

NameH-indexPapersCitations
Richard Peto183683231434
Barry M. Popkin15775190453
Jian Yang1421818111166
Edward C. Holmes13882485748
Jian Li133286387131
Shaobin Wang12687252463
Elaine Holmes11956058975
Jian Liu117209073156
Sherif R. Zaki10741740081
Jun Yang107209055257
Nan Lin10568754545
Li Chen105173255996
Ming Li103166962672
George F. Gao10279382219
Tao Li102248360947
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20235
202283
20211,490
20201,678
20191,244
20181,041