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 findings identify that ferroptosis contributes to the PBC loss and dysfunction and exerts beneficial effects on T2DM potentially by inhibiting pancreatic iron deposition and PBC ferroPTosis, highlighting promising control strategies of T2 DM by quercetin.
Abstract: (1) Background: Pancreatic iron deposition has been found in the progression of type 2 diabetes (T2DM); however, whether ferroptosis contributes to the dysfunction of pancreatic β cells (PBC) remains enigmatic. Moreover, the potential protective effect of quercetin is also elusive; (2) Methods: T2DM mice model was established by multiple low dose streptozocin (STZ) injection, after which quercetin was intervened for 4 months; (3) Results: Substantially normalized glucose tolerance, diabetic symptoms, homeostasis model assessment for insulin resistance (HOMA-IR), and homeostasis model assessment for β cell (HOMA-β) index in comparison with the findings of T2DM control. Distorted pancreatic islets and especially shrunken mitochondria with cristae loss in PBC were observed in T2DM mice, which was ameliorated by quercetin. Meanwhile, quercetin lowered the iron level particularly in the islet in T2DM mice. In spite of compensatory xCT up-regulation, T2DM molding depleted glutathione (GSH), down-regulated glutathione peroxidase 4 (GPX4), and induced oxidative stress in pancreatic tissue, which was abolished partially by quercetin. More importantly, insulin secretion was worsened by ferroptosis-inducing erastin or RAS-selective lethal compounds 3 (RSL-3). Quercetin, ferroptosis inhibitor ferrostatin-1 and iron-chelating deferoxamine, rescued cell viability when cells were challenged with high-glucose; (4) Conclusions: Our findings identify that ferroptosis contributes to the PBC loss and dysfunction. Quercetin exerts beneficial effects on T2DM potentially by inhibiting pancreatic iron deposition and PBC ferroptosis, highlighting promising control strategies of T2DM by quercetin.
106 citations
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TL;DR: The results show that a single dose of Ad5‐S‐ or Ad41-S‐based vaccines represents an appealing strategy for the control of MERS‐CoV infection and transmission.
Abstract: An ideal vaccine against mucosal pathogens such as Middle East respiratory syndrome coronavirus (MERS-CoV) should confer sustained, protective immunity at both systemic and mucosal levels. Here, we evaluated the in vivo systemic and mucosal antigen-specific immune responses induced by a single intramuscular or intragastric administration of recombinant adenoviral type 5 (Ad5) or type 41 (Ad41) -based vaccines expressing the MERS-CoV spike (S) protein. Intragastric administration of either Ad5-S or Ad41-S induced antigen-specific IgG and neutralizing antibody in serum; however, antigen-specific T-cell responses were not detected. In contrast, after a single intramuscular dose of Ad5-S or Ad41-S, functional antigen-specific T-cell responses were elicited in the spleen and pulmonary lymphocytes of the mice, which persisted for several months. Both rAd-based vaccines administered intramuscularly induced systemic humoral immune responses (neutralizing IgG antibodies). Our results show that a single dose of Ad5-S- or Ad41-S-based vaccines represents an appealing strategy for the control of MERS-CoV infection and transmission.
105 citations
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Katholieke Universiteit Leuven1, United States Department of Agriculture2, University of Ljubljana3, Mississippi State University4, University of Texas Medical Branch5, Friedrich Loeffler Institute6, Centers for Disease Control and Prevention7, Colorado State University8, Columbia University9, University of California, Irvine10, National Health Laboratory Service11, University of the Free State12, Aix-Marseille University13, International Rice Research Institute14, Scripps Research Institute15, University of California, San Francisco16, Public Health Agency of Canada17, Mayo Clinic18, Hacettepe University19, United States Army Medical Research Institute of Infectious Diseases20, Chinese Center for Disease Control and Prevention21, Kansas State University22, Fudan University23, Bernhard Nocht Institute for Tropical Medicine24, Paris Diderot University25, University of Queensland26, Public Health England27, Indian Agricultural Research Institute28, Seoul National University29, Slovak Academy of Sciences30, Karolinska Institutet31, Wageningen University and Research Centre32, University of Washington33, University of Louisville34, University of Bari35, University of Hamburg36, Washington State University37, Aristotle University of Thessaloniki38, University of Helsinki39, University of Brasília40, National University of La Plata41, Pasteur Institute42, University of Maryland, Baltimore43, National Agriculture and Food Research Organization44, University of Glasgow45, University of Tokyo46, University of Oxford47, Korea University48, Fujian Agriculture and Forestry University49, North Carolina State University50, National Chung Hsing University51, Universidade Federal de Viçosa52, National Institutes of Health53
TL;DR: The updated taxonomy of the order Bunyavirales is presented as now accepted by the International Committee on Taxonomy of Viruses (ICTV).
Abstract: In October 2018, the order Bunyavirales was amended by inclusion of the family Arenaviridae, abolishment of three families, creation of three new families, 19 new genera, and 14 new species, and renaming of three genera and 22 species. This article presents the updated taxonomy of the order Bunyavirales as now accepted by the International Committee on Taxonomy of Viruses (ICTV).
105 citations
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TL;DR: A mathematical model using a sex-role-preference framework is developed to predict HIV infection in the MSM population and to evaluate different intervention strategies, finding that R0 is a decreasing function of the death rate of HIV-infected individuals, following a power law at least asymptotically.
Abstract: Men who have sex with men (MSM) are much more likely to be infected with HIV than the general population. China has a sizable population of MSM, including gay, bisexual men, money boys and some rural workers. So reducing HIV infection in this population is an important component of the national HIV/AIDS prevention and control program. We develop a mathematical model using a sex-role-preference framework to predict HIV infection in the MSM population and to evaluate different intervention strategies. An analytic formula for the basic reproduction ratio R0 was obtained; this yields R0 = 3.9296 in the current situation, so HIV will spread very fast in the MSM population if no intervention measure is implemented in a timely fashion. The persistence of HIV infection and the existence of disease equilibrium (or equilibria) are also shown. We utilized our model to simulate possible outcomes of antiretroviral therapy and vaccination for the MSM population. We compared the effects of these intervention measures under different assumptions about MSM behaviour. We also found that R0 is a decreasing function of the death rate of HIV-infected individuals, following a power law at least asymptotically. HIV will spread very fast in the MSM population unless intervention measures are implemented urgently. Antiretroviral therapy can have substantial impact on the reduction of HIV among the MSM population, even if disinhibition is considered. The effect of protected sexual behaviour on controlling the epidemic in the MSM population largely depends on the sex-ratio preference of different sub-populations.
105 citations
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TL;DR: In this article, a diabetes risk score for screening undiagnosed diabetes was constructed and validated in Chinese adults, based on age, waist circumference, age and family history of diabetes.
Abstract: Diabet. Med. 27, 274–281 (2010)
Abstract
Aims A diabetes risk score for screening undiagnosed diabetes was constructed and validated in Chinese adults.
Methods Two consecutive population-based diabetes surveys among Chinese adults aged 20–74 years were conducted in 2002 (n = 1986) and 2006 (n = 4336). Demographic and anthropometric measures were collected following similar procedures. Standard 2-h 75-g oral glucose tolerance tests (OGTTs) were performed to diagnose diabetes in both surveys. Fasting capillary plasma glucose (FCG) and glycated haemoglobin (HbA1c) were also measured together with the OGTTs on the same day of the 2006 survey. Beta coefficients estimated using logistic regression analysis derived from data of the 2002 survey were used to develop the risk assessment algorithm. The performance of the algorithm was validated in the study population of the 2006 survey.
Results Of all the variables tested, waist circumference, age and family history of diabetes were significant predictors of diabetes and were used to construct the risk assessment score. The score, ranging from 3 to 32, performed well when applied to the study population of the 2006 survey. The area under the receiver operating characteristic curve was 67.3% (95% CI, 64.9–69.7%) for the score, while it was 76.3% (73.5–79.0%) for FCG alone and 67.8% (64.9–70.8%) for HbA1c alone. At a cut-off point of 14, the sensitivity and specificity of the risk score were 84.2% (81.0–87.5%) and 39.8% (38.2–41.3%).
Conclusions The risk score based on age, waist circumference and family history of diabetes is efficient as a layperson-oriented diabetes screening tool for health promotion and for population-based screening programmes.
105 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 |