1.Cloning, expression,purification and immunological identification of Der f 11, paramyosin,a recombinant allergen of dust mite
Congli JIANG ; Yulan WU ; Peng XING ; Pingchang YANG ; Zhigang LIU
Chinese Journal of Immunology 2014;(6):736-739
Objective: To clone , express and purify of Dermatophagoides farinae ( Der f 11 ) , and then test its immunogenicity.Methods:The gene coding for Der f 11 was synthesized ,and was then linked with the pET-32a vector.The expression plasmid pET32a(+)-Der f 11 was induced by IPTG.After purification of recombinant allergens Der 11 proteins through the Ni +affinity chromatography ,immunological allergic patients serum as the Primary antibody.Results: We obtain high purity recombinant Der f 11 protein.The results of SDS-PAGE show that the expression product is about 118 KD.Recombinant allergen Der f 11 test 15 dust mites allergic patients serum specific IgE , positive rate was 20%.Conclusion: Recombinant allergen Der f 11 obtained has the similar immunologic activity to natural Der f 11 protein.It can lay the foundation for the specific diagnosis ,treatment and further experimental studies of the dust mite allergy disease.
2.Qualitative Prediction of Yeast Growth Process Based on Near Infrared Spectroscopy
Wei WANG ; Hui JIANG ; Guohai LIU ; Congli MEI ; Yi JI
Chinese Journal of Analytical Chemistry 2017;45(8):1137-1142
To improve the yield of industrial fermentation, a method based on near infrared spectroscopy was presented to predict the growth of yeast.The spectral data of fermentation sample were measured by Fourier-transform near-infrared (FT-NIR) spectrometer in the process of yeast culture.Each spectrum was acquired over the range of 10000-4000 cm1.Meanwhile, the optical density (OD) of fermentation sample was determined with photoelectric turbidity method.After that, a method based on competitive adaptive reweighted sampling (CARS) was used to select characteristic wavelength variables of NIR data, and then extreme learning machine (ELM) algorithm was employed to develop the categorization model about the four growth processes of yeast.Experimental result showed that, only 30 characteristic wavelength variables of NIR data were selected by CRAS algorithms, and the prediction accuracies of training set and test set of the CARS-ELM model were 98.68% and 97.37%, respectively.The research showed that the near infrared spectrum analysis technology was feasible to predict the growth process of yeast.
3.Investigation of etiology and prognosis of the hospitalized patients with chronic obstructive pulmonary disease during acute exacerbation
Xixin YAN ; Haibo XU ; Cha TIAN ; Shunxiang QI ; Caizhi HAN ; Suyin LI ; Rizhen ZHAO ; Congli YANG ; Feifei LIU ; Yuling WANG ; Xiaowen HAN ; Fen PING ; Chaoying JIANG ; Pule JIN
Chinese Journal of Practical Internal Medicine 2001;0(04):-
0.05).The concentration of IL-6 in sputum of multi-virus infection group(122.51?39.86)ng/L was higher than in single virus infection group(65.30?34.92)ng/L.The concentration of IL-6 in sputum of bacteria-virus mixed infection group(120.31?46.62)ng/L was higher than in bacteria or virus single infection group(83.61?47.83)ng/L.Conclusion Streptococcus pneumonia and influenza virus A infection are important factors in AECOPD at early stage.Virus infection would prolong recovery time,increase inflammation of the airway and even induce bacteria infection.Therefore,we should pay more attention to the virus infection in COPD patients,especially A-type influenza virus.
4.Cross-neutralization of antibodies induced by inactivated SARS-CoV-2 vaccine against Beta and Delta variants
Xuexue ZHENG ; Baoying HUANG ; Congli JIANG ; Xianchen ZHANG ; Guoqian WANG ; Yujuan CHEN ; Na LI ; Wenjie TAN ; Jiankai LIU
Chinese Journal of Microbiology and Immunology 2022;42(6):451-455
Objective:To evaluate the in vitro cross-neutralization of serum antibodies in human and mice immunized with inactivated SARS-CoV-2 vaccine against Delta and Beta variants. Methods:Human serum samples after a second and a third dose of inactivated SARS-CoV-2 vaccine and mouse serum samples after a two-dose vaccination were collected. The neutralizing antibodies in the samples against SARS-CoV-2 strains of prototype, Delta and Beta variants were detected using micro-neutralization assay in biosafety level Ⅲ laboratory. The seroconversion rates and geometric mean titers (GMTs) of antibodies were calculated.Results:The seroconversion rates of antibodies in human serum samples against different SARS-CoV-2 strains were all above 95%. After two-dose vaccination, the GMTs of neutralizing antibodies against the prototype, Delta and Beta strains were 109, 41 and 15, respectively. The GMTs decreased by 2.7 folds and 7.3 folds for the Delta and Beta variants as compared with the prototype strain. After the booster vaccination, the GMTs of neutralizing antibodies against the prototype, Delta and Beta strains were 446, 190 and 86, respectively. The GMTs of neutralizing antibodies against Delta and Beta variants decreased by 2.3 folds and 5.2 folds as compared with that against the prototype strain. The seroconversion rates of antibodies against different SARS-CoV-2 strains in mouse serum samples were all 100%. The GMTs of neutralizing antibodies against the prototype, Delta and Beta strains were 2 037, 862 and 408, respectively. The GMTs decreased by 2.4 folds and 5.0 folds for the Delta and Beta variants.Conclusions:Inactivated SARS-CoV-2 vaccine could induce a certain level of neutralizing antibodies against Delta and Beta variants in both human and mouse models. Moreover, a third dose of vaccine induced higher levels of neutralizing antibodies against Delta and Beta variants in human. This study provided valuable data for the clinical application and protective evaluation of the inactivated SARS-CoV-2 vaccine.