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RISS 인기검색어
- 검색키워드
- 저자 : Yue-Hua Guo (검색결과 19 건)
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Yue-Hua Han,Wen-Zhong Liu,Yao-Zhou Shi,Li-Qiong Lu,Shudong Xiao,Qing-Hua Zhang,Guo-Ping Zhao 한국미생물학회 2007 The journal of microbiology Vol.45 No.1
In order to search for specific genotypes related to this unique phenotype, we used whole genomic DNA microarray to characterize the genomic diversity of Helicobacter pylori (H. pylori) strains isolated from clinical patients in China.The open reading frame (ORF) fragments on our microarray were generated by PCR using gene-specific primers. Genomic DNA of H. pylori 26695 and J99 were used as templates. Thirty-four H. pylori isolates were obtained from patients in Shanghai. Results were judged based on ln(x) transformed and normalized Cy3/Cy5 ratios. Our microarray included 1882 DNA fragments corresponding to 1636 ORFs of both sequenced H. pylori strains. Cluster analysis, revealed two diverse regions in the H. pylori genome that were not present in other isolates. Among the 1636 genes, 1091 (66.7%) were common to all H. pylori strains, representing the functional core of the genome. Most of the genes found in the H. pylori functional core were responsible for metabolism, cellular processes, transcription and biosynthesis of amino acids, functions that are essential to H. pylori’s growth and colonization in its host. In contrast, 522(31.9%) genes were strain-specific genes that were missing from at least one strain of H. pylori. Strainspecific genes primarily included restriction modification system components, transposase genes, hypothetical proteins and outer membrane proteins. These strain-specific genes may aid the bacteria under specific circumstances during their long-term infection in genetically diverse hosts. Our results suggest 34 H. pylori clinical strains have extensive genomic diversity. Core genes and strain-specific genes both play essential roles in H. pylori propagation and pathogenesis. Our microarray experiment may help select relatively significant genes for further research on the pathogenicity of H. pylori and development of a vaccine for H. pylori.
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Yue-Hua Guo,Fu-Rong Li,Shi-Yun Bao,Tao Han,Jun-Jian Cao,Han-Xin Zhou 한국물리학회 2007 Current Applied Physics Vol.7 No.s1
The present work is intended to set up the optimal carboplatin-Fe@C-loaded chitosan nanoparticles method and to compare andassess carboplatin-Fe@C-loaded with carboplatin-Fe-loaded chitosan nanoparticles. Both kinds of nanoparticles were prepared by areverse microemulsion method. The carboplatin-Fe@C-loaded chitosan nanoparticles consisted of Fe@C nanopowder with the adsorbeddrug as the magnetic core, chitosan as the matrix and carboplatin as the model drug. The core of the carboplatin-Fe-loaded chitosannanoparticles was pure iron nanopowder, which was unable to adsorb a drug. The characteristics of both kinds of nanoparticles weredetermined and compared. The results showed that both kinds of nanoparticles were spherical in shape with an average size of210 nm ± 26 nm (size range 150300 nm) and a good magnetic responsivity. The drug content of the nanoparticles wasrespectively. The cumulative release percentages of carboplatin-Fe@C-loaded chitosan nanoparticles in vitro in 1d, 2d, 3d, 4d were60%, 74%, 84%, and 92%, respectively, and those of carboplatin-Fe-loaded chitosan nanoparticles in 1d, 2d were 81% and 91%. Thus,the carboplatin-Fe@C-loaded chitosan nanoparticles with dual physical drug-loaded mechanisms (physical encapsulation and adsorp-tion of active carbon) possessed a higher drug content and showed more sustained releasing. The cooperation of multiple mechanismswas a promising feature to improve the properties of nanoparticles.
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Han, Yue-Hua,Liu, Wen-Zhong,Shi, Yao-Zhou,Lu, Li-Qiong,Xiao, Shudong,Zhang, Qing-Hua,Zhao, Guo-Ping The Microbiological Society of Korea 2007 The journal of microbiology Vol.45 No.1
In order to search for specific genotypes related to this unique phenotype, we used whole genomic DNA microarray to characterize the genomic diversity of Helicobacter pylori (H. pylori) strains isolated from clinical patients in China. The open reading frame (ORF) fragments on our microarray were generated by PCR using gene-specific primers. Genomic DNA of H. pylori 26695 and J99 were used as templates. Thirty-four H. pylori isolates were obtained from patients in Shanghai. Results were judged based on In(x) transformed and normalized Cy3/Cy5 ratios. Our microarray included 1882 DNA fragments corresponding to 1636 ORFs of both sequenced H. pylori strains. Cluster analysis, revealed two diverse regions in the H. pylori genome that were not present in other isolates. Among the 1636 genes, 1091 (66.7%) were common to all H. pylori strains, representing the functional core of the genome. Most of the genes found in the H. pylori functional core were responsible for metabolism, cellular processes, transcription and biosynthesis of amino acids, functions that are essential to H. pylori's growth and colonization in its host. In contrast, 522 (31.9%) genes were strain-specific genes that were missing from at least one strain of H. pylori. Strain-specific genes primarily included restriction modification system components, transposase genes, hypothetical proteins and outer membrane proteins. These strain-specific genes may aid the bacteria under specific circumstances during their long-term infection in genetically diverse hosts. Our results suggest 34 H. pylori clinical strains have extensive genomic diversity. Core genes and strain-specific genes both play essential roles in H. pylori propagation and pathogenesis. Our microarray experiment may help select relatively significant genes for further research on the pathogenicity of H. pylori and development of a vaccine for H. pylori.
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Yue-Lin Li,Guo-Yi Zhou,De-Qiang Zhang,Katherine Owen Wenigmann,Dennis Otieno,John Tenhunen,Qian-Mei Zhang,Jun-Hua Yan 한국기상학회 2012 Asia-Pacific Journal of Atmospheric Sciences Vol.48 No.1
CO2 fluxes were measured continuously for three years (2003-2005) using the eddy covariance technique for the canopy layer with a height of 27 m above the ground in a dominant subtropical evergreen forest in Dinghushan, South China. By applying gapfilling methods, we quantified the different components of the carbon fluxes (net ecosystem exchange (NEE)), gross primary production (GPP) and ecosystem respiration (Reco) in order to assess the effects of meteorological variables on these fluxes and the atmospherecanopy interactions on the forest carbon cycle. Our results showed that monthly average daily maximum net CO2 exchange of the whole ecosystem varied from −3.79 to −14.24 μmol m−2 s−1 and was linearly related to photosynthetic active radiation. The Dinghushan forest acted as a net carbon sink of −488 g C m−2 y−1, with a GPP of 1448 g Cm−2 y−1, and a Reco of 961 g C m−2 y−1.Using a carboxylase-based model, we compared the predicted fluxes of CO2 with measurements. GPP was modelled as 1443 g C m−2 y−1, and the model inversion results helped to explain ca. 90% of temporal variability of the measured ecosystem fluxes. Contribution of CO2 fluxes in the subtropical forest in the dry season (October-March) was 62.2% of the annual total from the whole forest ecosystem. On average, 43.3%of the net annual carbon sink occurred between October and December, indicating that this time period is an important stage for uptake of CO2 by the forest ecosystem from the atmosphere. Carbon uptake in the evergreen forest ecosystem is an indicator of the interaction of between the atmosphere and the canopy, especially in terms of driving climate factors such as temperature and rainfall events. We found that the Dinghushan evergreen forest is acting as a carbon sink almost year-round. The study can improve the evaluation of the net carbon uptake of tropical monsoon evergreen forest ecosystem in south China region under climate change conditions.
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Development of a universal plate-agglutination test for detecting Haemophilus parasuis
Dingqian Guo,Quan Hai,Guoqing Shao,Hua Yue 대한수의학회 2010 JOURNAL OF VETERINARY SCIENCE Vol.11 No.4
Due to the serovar diversity in Haemophilus (H.) parasuis, it is difficult to develop a universal serological method for detection of this pathogen. Here, we report a universal plate-agglutination test for detecting H. parasuis. Diagnostic antisera were prepared by mixing antisera of serovars 4, 5, 12, 13 and 14 in the optimized ratio. The results of the plate-agglutination test showed that the diagnostic antisera could agglutinate with all 15 reference strains of H. parasuis and 74/75 clinical isolates. Further, the specificity of the method was validated with 22 bacterial strains from 12 related species.
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Xiao-Dan Yue,Jing-Yu Wang,Xin-Rong Zhang,Ju-Hong Yang,Chun-Yan Shan,Miao-Yan Zheng,Hui-Zhu Ren,Yi Zhang,Shao-Hua Yang,Zhen-Hong Guo,Bai Chang,Bao-Cheng Chang 대한의학회 2017 Journal of Korean medical science Vol.32 No.4
Sodium glucose co-transporter 2 (SGLT-2) inhibitors are newly developed but promising medicine for type 2 diabetes. However, patients with a different renal threshold for glucose excretion (RTG) may have a different reaction to this medicine. Therefore, the objective of this study was to investigate the characteristics of RTG and its impact factors in patients with type 2 diabetes mellitus (T2DM). The clinical and laboratory data of 36 healthy individuals and 168 in-hospital patients with T2DM were collected and analyzed, RTG was calculated using blood glucose (BG) measured by dynamic BG monitoring, urinary glucose excretion (UGE) and estimated glomerular filtration rate (eGFR). The characteristics of RTG were investigated. The risk factors for high RTG were analyzed using non-conditional logistic regression analysis. Our results found that RTG of the T2DM group was higher than that of the healthy individuals (P < 0.05); and 22.22% from the healthy individuals group but 58.33% from the T2DM group had high RTG. Age, duration of diabetes, body mass index (BMI), and homeostasis model assessment insulin resistance index (HOMA-IR) were independently associated with high RTG (P < 0.05). Further stratified analysis revealed that RTG in T2DM patients increased with age, duration of diabetes, and BMI. In conclusion, RTG is increased in patients with T2DM, especially in those with longer diabetic duration, higher BMI, and those who are older. Therefore, these patients may be more sensitive to SGLT-2 inhibitors.
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Identification of Specific Gene Modules in Mouse Lung Tissue Exposed to Cigarette Smoke
Xing, Yong-Hua,Zhang, Jun-Ling,Lu, Lu,Li, De-Guan,Wang, Yue-Ying,Huang, Song,Li, Cheng-Cheng,Zhang, Zhu-Bo,Li, Jian-Guo,Xu, Guo-Shun,Meng, Ai-Min Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.10
Background: Exposure to cigarette may affect human health and increase risk of a wide range of diseases including pulmonary diseases, such as chronic obstructive pulmonary disease (COPD), asthma, lung fibrosis and lung cancer. However, the molecular mechanisms of pathogenesis induced by cigarettes still remain obscure even with extensive studies. With systemic view, we attempted to identify the specific gene modules that might relate to injury caused by cigarette smoke and identify hub genes for potential therapeutic targets or biomarkers from specific gene modules. Materials and Methods: The dataset GSE18344 was downloaded from the Gene Expression Omnibus (GEO) and divided into mouse cigarette smoke exposure and control groups. Subsequently, weighted gene co-expression network analysis (WGCNA) was used to construct a gene co-expression network for each group and detected specific gene modules of cigarette smoke exposure by comparison. Results: A total of ten specific gene modules were identified only in the cigarette smoke exposure group but not in the control group. Seven hub genes were identified as well, including Fip1l1, Anp32a, Acsl4, Evl, Sdc1, Arap3 and Cd52. Conclusions: Specific gene modules may provide better understanding of molecular mechanisms, and hub genes are potential candidates of therapeutic targets that may possible improve development of novel treatment approaches.
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