1.Association between CTLA-4 gene polymorphism and Henoch-Schönlein purpura in children.
Hong-Hong HOU ; Yan-Ping HUANG ; Li LIU ; Gai-Tao HE
Chinese Journal of Contemporary Pediatrics 2017;19(3):296-302
OBJECTIVETo investigate the association between CTLA-4 gene polymorphism and Henoch-Schönlein purpura (HSP) in children.
METHODSSixty children who were diagnosed with HSP were enrolled as the case group, consisting of 33 males and 27 females. Thirty healthy children were enrolled as the control group. The patients were further divided into HSP nephritis (HSPN) and non-HSPN groups (n=30 each) according to the presence or absence of nephritis. Polymerase chain reaction-restriction fragment length polymorphism was used to analyze the genotype and allele frequencies at +49 and -1722 loci.
RESULTSAA, AG, and GG genotypes were detected at +49; neither genotype nor allele frequencies showed significant differences between the case and control groups, between the HSPN and non-HSPN groups, and between male and female patients (P>0.05). TT, TC, and CC genotypes were detected at -1722; neither genotype nor allele frequencies showed significant differences between the case and control groups and between male and female patients (P>0.05). There were significant differences in CC genotype frequency and T and C allele frequencies between the HSPN and non-HSPN groups (P<0.05). Combinational analysis of +49 A/G and -1722 T/C showed no significant differences in the genotype frequency between the case and control groups and between male and female patients (P>0.05). GG-CC combination showed a significant difference between the HSPN and non-HSPN groups (P<0.05).
CONCLUSIONSCTLA-4 +49 A/G polymorphism is not associated with HSP. CC genotype and C allele of CTLA-4 -1722 and the combination of GG at +49 A/G and CC at -1722 T/C may be risk factors for HSPN.
CTLA-4 Antigen ; genetics ; Child ; Child, Preschool ; Female ; Genotype ; Humans ; Male ; Polymorphism, Genetic ; Purpura, Schoenlein-Henoch ; genetics
2.Severe acute respiratory syndrome--retrospect and lessons of 2004 outbreak in China.
Wan-Nian LIANG ; Tao ZHAO ; Ze-Jun LIU ; Bao-Ying GUAN ; Xiong HE ; Min LIU ; Qi CHEN ; Gai-Fen LIU ; Jiang WU ; Ruo-Gang HUANG ; Xue-Qin XIE ; Zheng-Lai WU
Biomedical and Environmental Sciences 2006;19(6):445-451
OBJECTIVETo summarize lessons learned from an outbreak of severe acute respiratory syndrome (SARS) in China during the spring of 2004.
METHODSData of SARS cases were officially reported by Beijing Municipal Center for Disease Control and Prevention (BCDC) and Anhui Provincial Center for Disease Control and Prevention (APCDC) and results of epidemiological investigations were collected and analyzed.
RESULTSThree generations of 11 cases of SARS were identified during the outbreak. Initial two cases were most likely to be infected in Diarrhea Virus Laboratory of National Institute of Virology, China Centers for Disease Control and Prevention and main mode of transmission was direct contact with SARS patients. Delay in detecting initial case resulted in spread of the illness at hospitals and communities with two generations of secondary cases.
CONCLUSIONSSARS outbreak in 2004 has yielded following lessons for public health globally. (1) Lab bio-safety programs should be made and should be strictly abided by. Studies in highly pathogenic viruses such as SARS coronavirus should be utmost cautious. (2) Management systems of occupational exposure to virus and disease surveillance need to be strengthened to take all risk factors into account so as to detect potential patients with infectious disease as early as possible.
China ; epidemiology ; Disease Outbreaks ; Female ; Humans ; Male ; Occupational Exposure ; prevention & control ; Occupational Health ; Retrospective Studies ; Severe Acute Respiratory Syndrome ; epidemiology ; prevention & control ; transmission
3.The SACT Template: A Human Brain Diffusion Tensor Template for School-age Children.
Congying CHU ; Haoran GUAN ; Sangma XIE ; Yanpei WANG ; Jie LUO ; Gai ZHAO ; Zhiying PAN ; Mingming HU ; Weiwei MEN ; Shuping TAN ; Jia-Hong GAO ; Shaozheng QIN ; Yong HE ; Lingzhong FAN ; Qi DONG ; Sha TAO
Neuroscience Bulletin 2022;38(6):607-621
School-age children are in a specific development stage corresponding to juvenility, when the white matter of the brain experiences ongoing maturation. Diffusion-weighted magnetic resonance imaging (DWI), especially diffusion tensor imaging (DTI), is extensively used to characterize the maturation by assessing white matter properties in vivo. In the analysis of DWI data, spatial normalization is crucial for conducting inter-subject analyses or linking the individual space with the reference space. Using tensor-based registration with an appropriate diffusion tensor template presents high accuracy regarding spatial normalization. However, there is a lack of a standardized diffusion tensor template dedicated to school-age children with ongoing brain development. Here, we established the school-age children diffusion tensor (SACT) template by optimizing tensor reorientation on high-quality DTI data from a large sample of cognitively normal participants aged 6-12 years. With an age-balanced design, the SACT template represented the entire age range well by showing high similarity to the age-specific templates. Compared with the tensor template of adults, the SACT template revealed significantly higher spatial normalization accuracy and inter-subject coherence upon evaluation of subjects in two different datasets of school-age children. A practical application regarding the age associations with the normalized DTI-derived data was conducted to further compare the SACT template and the adult template. Although similar spatial patterns were found, the SACT template showed significant effects on the distributions of the statistical results, which may be related to the performance of spatial normalization. Looking forward, the SACT template could contribute to future studies of white matter development in both healthy and clinical populations. The SACT template is publicly available now ( https://figshare.com/articles/dataset/SACT_template/14071283 ).