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Yulan Qiu,XueMei Zhang,Hong Wang,Xinyuan Zhang,Yunjun Mo,Xiaoyu Sun,Jichao Wang,YiBing Yin,WenChun Xu 한국미생물학회 2017 The journal of microbiology Vol.55 No.10
diseases in children under 5-year-old. Vaccine has been used as an indispensable strategy to prevent S. pneumoniae infection for more than 30 years. Our previous studies confirmed that mucosal immunization with live attenuated strain SPY1 can protect mice against nasopharyngeal colonization of S. pneumoniae and lethal pneumococcal infection, and the protective effects are comparable with those induced by commercially available 23-valent polysaccharide vaccine. However, live attenuated vaccine SPY1 needs four inoculations to get satisfactory protective effect, which may increase the risk of virulence recovery. It is reported that heterologous primeboost approach is more effective than homologous primeboost approach. In the present study, to decrease the doses of live SPY1 and improve the safety of SPY1 vaccine, we immunized mice with SPY1 and DnaJ protein alternately. Our results showed that heterologous prime-boost immunization with SPY1 and DnaJ protein could significantly reduce the colonization of S. pneumoniae in the respiratory tract of mice, and induce stronger Th1 and Th17 cellular immune responses than SPY1 alone. These results indicate heterologous prime-boost immunization method not only elicits better protective effect than SPY1 alone, but also reduces the doses of live SPY1 and decreases the risk of SPY1 vaccine. This work is the first time to study the protective efficiency with two different forms of S. pneumoniae candidate vaccine, and provides a new strategy for the development of S. pneumoniae vaccine.
Wang, Yulan,Nepal, Dhriti,Geckeler, Kurt E. Royal Society of Chemistry 2005 Journal of materials chemistry Vol.15 No.10
<P>Hollow porous carbon nanospheres with large surface area and stability were self-assembled using gentle oxidization of fullerenes. The C<SUB>60</SUB> framework, functional groups, composition, structure, surface area and stability of the nanospheres were investigated using scanning electron microscopy, X-ray photoelectron spectroscopy, FT-IR spectroscopy, solid state <SUP>13</SUP>C NMR spectroscopy, high resolution transmission electron microscopy, adsorption and thermogravimetric analysis. The narrow distribution of the nanospheres was centred on 8 nm, the BET surface area was 222.63 m<SUP>2</SUP> g<SUP>−1</SUP>, and the residue at 1000 °C was 75%. Thus, a novel nanomaterial with the highest surface area and highest stability in the family of fullerenes has been prepared.</P> <P>Graphic Abstract</P><P>Self-assembly during a mild oxidation reaction of [60]fullerene leads to novel hollow carbon nanospheres with unique properties such as high surface area and very high stability. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=b413988g'> </P>
Liu, Yulan,Han, Jie,Huang, Jingjing,Wang, Xiaoqiu,Wang, Fenglai,Wang, Junjun Asian Australasian Association of Animal Productio 2009 Animal Bioscience Vol.22 No.12
This study was conducted to determine whether L-arginine (Arg) supplementation could improve intestinal function in weaned pigs after an Escherichia coli lipopolysaccharide (LPS) challenge. Treatments included: i) non-challenged control (CONTR, pigs fed a control diet and injected with sterile saline); ii) LPS-challenged control (LPS, pigs fed the same control diet and challenged by injection with Escherichia coli LPS); iii) LPS+0.5% Arg (pigs fed a 0.5% Arg diet and challenged with LPS); and iv) LPS+1.0% Arg (pigs fed a 1.0% Arg diet and challenged with LPS). On d 16, pigs were administrated with LPS or sterile saline. D-xylose was orally administrated at 2 h following LPS challenge, and blood samples were collected at 3 h following LPS challenge. At 6 h post-challenge, pigs were sacrificed and intestinal mucosa samples were collected. Supplementation of Arg attenuated LPS-induced damage in gut digestive and barrier functions, as indicated by an increase in ileal lactase activity, and duodenal and ileal diamine oxidase activities (p<0.05). Arg administration also prevented the increase of jejunal malondialdehyde content and the decrease of ileal superoxide dismutase activity by LPS challenge (p<0.05). Furthermore, the jejunal nitric oxide level and inducible nitric oxide synthase activity were also improved after Arg supplementation (p<0.05). These results indicate that Arg supplementation has beneficial effects in alleviating the impairment of gut function induced by LPS challenge.
Proteomic Analysis on Exosomes Derived from Patients’ Sera Infected with Echinococcus granulosus
Wen Wang,Xiaojing Zhou,Fang Cui,Chunli Shi,Yulan Wang,Yanfei Men,Wei Zhao,Jiaqing Zhao 대한기생충학ㆍ열대의학회 2019 The Korean Journal of Parasitology Vol.57 No.5
Cystic echinococcosis (CE), a zoonotic disease caused by Echinococcus granulosus at the larval stage, predominantly develops in the liver and lungs of intermediate hosts and eventually results in organ malfunction or even death. The interaction between E. granulosus and human body is incompletely understood. Exosomes are nanosized particles ubiquitously present in human body fluids. Exosomes carry biomolecules that facilitate communication between cells. To the best of our knowledge, the role of exosomes in patients with CE is not reported. Here, we isolated exosomes from the sera of patients with CE (CE-exo) and healthy donors and subjected them to liquid chromatography-tandem mass spectrometry analysis. Proteomic analysis identified 49 proteins specifically expressed in CE-exo, including 4 proteins of parasitic origin. The most valuable parasitic proteins included tubulin alpha-1C chain and histone H4. And 8 proteins were differentially regulated in CE-exo (fold change>1.5), as analyzed with bioinformatic methods such as annotation and functional enrichment analyses. These findings may improve our understanding about the interaction between E. granulosus and human body, and may contribute to the diagnosis and prevention of CE.
Yulan He,Li Pan,Bin Wang 한국생물공학회 2018 Biotechnology and Bioprocess Engineering Vol.23 No.6
Acidic pectin lyase is of great application value in fruit-processing industry. In this study, five pectin lyase genes (pelA, pelB, pelC, pelD and pelF) from A. niger pectin lyase gene family were cloned and over-expressed in A. niger strain SH-2, respectively. The pelA recombinant strain (SH2-pelA) owns the highest acidic pectin lyase activity: 11069.2 U/mL in flask fermentation, and 65148.8 U/mL in submerged fermentation. The recombinant pectin lyase A (PelA) was purified by Ni-affinity chromatography, and specificity of the protein was confirmed by western blotting. The recombinant PelA exhibits maximum activity at pH 4.5 and 50°C. The recombineant PelA shows increasing specific activity as the degree of methyl-esterization of the substrate raises. The maximum activity (22423.3 U/mL) was obtined using citrus pectin (≥85% esterified) as the substrate. After the treatment by PelA, the light transmittance of orange, apple and grape juice was increased 19.2-fold, 7.3-fold and 3.8-fold, respectively, suggesting that the recombinant acidic PelA had noticeable clarifying effects on orange, apple and grape juice.
State-of-charge Estimation for Lithium-ion Batteries Using a Multi-state Closed-loop Observer
Yulan Zhao,Haitao Yun,Shude Liu,Huirong Jiao,Chengzhen Wang 전력전자학회 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.5
Lithium-ion batteries are widely used in hybrid and pure electric vehicles. State-of-charge (SOC) estimation is a fundamental issue in vehicle power train control and battery management systems. This study proposes a novel model-based SOC estimation method that applies closed-loop state observer theory and a comprehensive battery model. The state-space model of lithium-ion battery is developed based on a three-order resistor?capacitor equivalent circuit model. The least square algorithm is used to identify model parameters. A multi-state closed-loop state observer is designed to predict the open-circuit voltage (OCV) of a battery based on the battery state-space model. Battery SOC can then be estimated based on the corresponding relationship between battery OCV and SOC. Finally, practical driving tests that use two types of typical driving cycle are performed to verify the proposed SOC estimation method. Test results prove that the proposed estimation method is reasonably accurate and exhibits accuracy in estimating SOC within 2% under different driving cycles.
Yulan Gao,Xiangchen Fang,Zhenmin Cheng,Liming Xu,Zhenhui Lu,Shanda Wang 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.26 No.-
An ex-situ presulfurization technology for transforming the metal oxides of hydrotreating catalyst to the corresponding metal oxy-sulfides was developed, involving pre-dispersion of an organo-nitrogen substance onto catalyst and a subsequent multi-step heat treatment. The inherence of exothermic effect involved in the ex situ pre-sulfurized catalyst fabrication and activation, and particularly the relationship between the exothermic effect and the surface property of catalyst were investigated. The results indicated that both the preparation parameters and the operating conditions can have effects on the exothermic behavior and surface state of the catalyst. The information obtained in the current study is useful for optimizing the EPRES process, essential for hydrotreating catalyst and its application.
State-of-charge Estimation for Lithium-ion Batteries Using a Multi-state Closed-loop Observer
Zhao, Yulan,Yun, Haitao,Liu, Shude,Jiao, Huirong,Wang, Chengzhen The Korean Institute of Power Electronics 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.5
Lithium-ion batteries are widely used in hybrid and pure electric vehicles. State-of-charge (SOC) estimation is a fundamental issue in vehicle power train control and battery management systems. This study proposes a novel model-based SOC estimation method that applies closed-loop state observer theory and a comprehensive battery model. The state-space model of lithium-ion battery is developed based on a three-order resistor-capacitor equivalent circuit model. The least square algorithm is used to identify model parameters. A multi-state closed-loop state observer is designed to predict the open-circuit voltage (OCV) of a battery based on the battery state-space model. Battery SOC can then be estimated based on the corresponding relationship between battery OCV and SOC. Finally, practical driving tests that use two types of typical driving cycle are performed to verify the proposed SOC estimation method. Test results prove that the proposed estimation method is reasonably accurate and exhibits accuracy in estimating SOC within 2% under different driving cycles.