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您的检索式：作者名="Ganzhu Feng"
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| 1 | A novel recombinant DNA vaccine encodingMycobacterium tuberculosis ESAT-6 and FL protects againstMycobacterium tuberculosis challenge in mice显示文摘Mycobacterium tuberculosis 6-kDa early secretory antigenic target(ESAT-6)is a dominant target antigen for cell-mediated immunity in the early phase of tuberculosis.The fms-like tyrosine kinase 3 ligand(FL)that induces potent immune response has been used as an adjuvant in vaccine development.In this study,a new recombinant plasmid(pIRES-epitope-peptides-FL)encoding three T cell epitopes of ESAT-6 and FL was constructed,and the immunogenicity of the DNA vaccine was assessed in C57BL/6 mice immunized with the plasmid DNA vaccine.Additionally,a strategy of intramuscular injection with the DNA vaccine(prime)and intranasal administration of the epitope peptides(boost)was employed to induce higher immune reaction of the mice.The results showed that mice vaccinated with the recombinant plasmid DNA vaccine and boosted with the peptides not only increased the levels of Th1 cytokines(IFN-γand IL-12),the number of IFN-γ+T cells and activities of cytotoxic T lymphocytes as well as IgG,but also enhanced protection against Mycobacterium tuberculosis challenge.In conclusion,these data indicate that the novel recombinant pIRES-epitope-peptides-FL plasmid is a useful DNA vaccine for preventing Mycobacterium tuberculosis infection. | Qingtao Jiang Jing Zhang Xia Chen Mei Xia Yanlai Lu Wen Qiu Ganzhu Feng Dan Zhao Yan Li Fengxia He Guangyong Peng Yingwei Wang | 2013 | The Journal of Biomedical Research2013，27，5： | 2 |
| 2 | Paeonol attenuates airway inflammation and hyperresponsiveness in a murine model of ovalbum in-induced asthma显示文摘 | DU Qiang FENG Ganzhu SHEN Li | 2010 | Can J Pharmacol2010，88，10： | 1 |
| 3 | Estimating the time interval between transmission generations and the presymptomatic period by contact tracing surveillance data from 31 provinces in the mainland of China显示文摘The global pandemic of 2019 coronavirus disease(COVID-19)is a great assault to public health.Presymptomatic transmission cannot be controlled with measures designed for symptomatic persons,such as isolation.This study aimed to estimate the interval of the transmission generation(TG)and the presymptomatic period of COVID-19,and compare the ftting effects of TG and serial interval(S)based on the SEIHR model incorporating the surveillance data of 3453 cases in 31 provinces.These data were allocated into three distributions and the value of AIC presented that the Weibull distribution fitted well.The mean of TG was 5.2 days(95%C:4.6-5.8).The mean of the presymptomatic period was 2.4 days(95%CI:1.5-3.2).The dynamic model using TG as the generation time performed well.Eight provinces exhibited a basic reproduction number from 2.16 to 3.14.Measures should be taken to control presymptomatic transmission in the COVID-19 pandemic. | Zhongxing Ding Kai Wang Mingwang Shen Kai Wang Shi Zhao Wenyu Song Rui Li Zhongjie Li Liping Wang Ganzhu Feng Zhiliang Hu Hongxia Wei Yanni Xiao Changjun Bao Jianli Hu Liguo Zhu Yong Li Xufeng Chen Yi Yin Weiming Wang Yongli Cai Zhihang Peng Hongbing Shen | 2021 | Fundamental Research2021，1，2： | 1 |
| 4 | Author Correction:A novel recombinant DNA vaccine encoding Mycobacterium tuberculosis ESAT-6 and FL protects against Mycobacterium tuberculosis challenge in mice显示文摘Correction to:Journal of Biomedical Research http://gffzzd3cc09b8251d45dfsx5b9bxx0unxn6qf5.ffgz.tsg.suse.edu.cn/10.7555/JBR.27.20120114,published on 30 September 2013.We apologize for the misused images in Fig.7 in our article published on 30 September 2013.The Fig.7 by HE staining and immunohistochemistry were partially misused because of our carelessness.Because we couldn't find the original pictures acquired 11 years ago,thus HE and IHC experiments were repeated by our previously reserved wax blocks.Now,the pictures taken by microscope imaging system in each group were collected and combined,respectively.The correct version of Fig. | Qingtao Jiang Jing Zhang Xia Chen Mei Xia Yanlai Lu Wen Qiu Ganzhu Feng Dan Zhao Yan Li Fengxia He Guangyong Peng Yingwei Wang | 2022 | The Journal of Biomedical Research2022，36，6： | 0 |
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