1.Detection of the anterior descending artery originating from the right coronary artery in tetralogy of Fallot by echoeardiography
Chunhua ZHENG ; Min BAO ; Shaobo WANG ; Xiangjun LIU ; Xiujie TANG ; Ping LU ; Hongyin LI ; Qingyu WU
Chinese Journal of Ultrasonography 2009;18(8):669-671
malities should be alerted in TOF.
2.The study on SIRT4 gene expression and prognostic factors in osteosarcoma
Qingyu SHI ; Liancai LI ; Wei MAI ; Junjie BAO ; Chunyu SONG ; Guofan QU
Practical Oncology Journal 2016;30(6):502-506
Objective To explore SIRT4 gene expression in tumor tissue and investigate the clinicol-pathological features in osteosarcoma .Methods In this study ,SIRT4 protein expression was detected in 106 os-teosarcoma tissues and 36 paired neighboring non -tumorous tissues by immunohistochemistry and determined the correlation between the SIRT 4 expression and the clinicopathological features .Results SIRT4 protein was dra-matically decreased in osteosarcoma cells compared with neighboring non -tumorous bone cells .The low expres-sion of SIRT4 was notably associated with a poor overall survival and disease -free survival in osteosarcoma pa-tients.By using univariate and multivariate analyses ,we confirmed that the increased SIRT 4 expression was an in-dependent factor in predicting better prognosis for patients .Conclu is on SIRT4 expression might be an inde-pendent biomarker for prognostic evaluation of osteosarcoma .
3.Correlation between heart rate variability and cerebral small vessel disease in patients with obstructive sleep apnea
Chao WANG ; Qingyu BAO ; Yang ZHAO ; Mengfan LI ; Hairong SUN ; Zhenguang LI ; Jinbiao ZHANG
International Journal of Cerebrovascular Diseases 2021;29(2):100-105
Objective:To investigate the correlation between heart rate variability (HRV) and cerebral small vessel disease (CSVD) in patients with obstructive sleep apnea (OSA).Methods:Patients with OSA received polysomnography and brain MRI examination in Weihai Municipal Hospital from July 2019 to July 2020 were consecutively collected for cross-sectional analysis. The 5 min HRV before sleep (awake state) was analyzed. The patients were divided into CSVD group and non-CSVD group according to the overall burden of CSVD. The demographic data, clinical data, polysomnography parameters and HRV time domain and frequency domain parameters were compared between the two groups. Multivariate logistic regression analysis was used to determine the correlation between the HRV parameters and CSVD in patients with OSA. Results:A total of 100 patients with OSA were enrolled, including 79 males (79.0%), aged 52.36±8.66 years, apnea hypopnea index (AHI) 38.70±24.65/h. There were 46 patients (46.0%) in the CSVD group and 54 (54.0%) in the non-CSVD group. Univariate analysis showed that there were significant differences in age, AHI, oxygen desaturation index (ODI), percentage of blood oxygen saturation <90% in total sleep time (T90), square root of the mean of the sum of the squares of the difference between adjacent RR intervals (RMSSD), power in high frequency range (HF), power in low frequency range (LF) to HF ratio (LF/HF) between the CSVD group and the non-CSVD group (all P<0.05). Multivariate logistic regression analysis showed that after adjusting for age, body mass index, systolic blood pressure, AHI, ODI, and T90, RMSSD (odds ratio 0.625, 95% confidence interval 0.389-0.981; P=0.041) and LF/HF ratio (odds ratio 1.429, 95% confidence interval 1.011-2.020; P=0.043) were the independent influencing factors of CSVD in patients with OSA. Conclusion:Increased LF/HF and decreased RMSSD in OSA patients with CSVD suggest that the increased sympathetic excitability and decreased vagus function, which may be one of the pathophysiological mechanisms of occurring CSVD in patients with OSA.
4.Proteomics-based screening of differentially expressed protein in bronchial asthma(syndrome of excessive cold).
YINLONG ; Wen-Shan BAO ; JINHUA ; QINGYU ; BATUDELIGEN ; Ts TUVSHINJARGAL ; P MOLOR-ERDENE ; WENFENG
China Journal of Chinese Materia Medica 2022;47(22):6227-6234
Proteomic tools were used to identify the key proteins that might be associated with bronchial asthma(BA). Firstly, the serum samples from healthy adults and asthmatic patients were collected. Tandem Mass Tag~(TM)(TMT), which removes high-abundance structures and nonspecific proteins, was employed to identify the differentially expressed proteins between asthmatic patients and healthy adults. Gene Ontology(GO) annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis were carried out for the differentially expressed proteins. The core proteins in the asthma group were screened out by protein-protein interaction(PPI) analysis. Then the core proteins were verified by Western blot for 3 patients with bronchial asthma and 3 healthy adults. A total of 778 differentially expressed proteins were screened out, among which 32 proteins contained quantitative information, including 18 up-regulated proteins and 14 down-regulated proteins. The differentially expressed proteins were enriched in 28 KEGG signaling pathways. The PPI analysis showed that 10 proteins(GDN, 1433 Z, VWF, HEMO, CERU, A1 AT, TSP1, G3 P, IBP7, and KPYM) might be involved in the pathogenesis of bronchial asthma. Compared with those in healthy adults, the expression levels of SLC25 A4, SVEP1, and KRT25 in the sera of asthmatic patients were up-regulated(P<0.05). Therefore, it is hypothesized that a variety of immune signaling pathways and differentially expressed proteins play a role in the pathogenesis of BA, which provides potential target information for the treatment of BA.
Adult
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Humans
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Proteomics
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Gene Ontology
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Proteins
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Disease Susceptibility
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Asthma/genetics*
5.A genome sequence of novel SARS-CoV isolates: the genotype, GD-Ins29, leads to a hypothesis of viral transmission in South China.
E'de QIN ; Xionglei HE ; Wei TIAN ; Yong LIU ; Wei LI ; Jie WEN ; Jingqiang WANG ; Baochang FAN ; Qingfa WU ; Guohui CHANG ; Wuchun CAO ; Zuyuan XU ; Ruifu YANG ; Jing WANG ; Man YU ; Yan LI ; Jing XU ; Bingyin SI ; Yongwu HU ; Wenming PENG ; Lin TANG ; Tao JIANG ; Jianping SHI ; Jia JI ; Yu ZHANG ; Jia YE ; Cui'e WANG ; Yujun HAN ; Jun ZHOU ; Yajun DENG ; Xiaoyu LI ; Jianfei HU ; Caiping WANG ; Chunxia YAN ; Qingrun ZHANG ; Jingyue BAO ; Guoqing LI ; Weijun CHEN ; Lin FANG ; Changfeng LI ; Meng LEI ; Dawei LI ; Wei TONG ; Xiangjun TIAN ; Jin WANG ; Bo ZHANG ; Haiqing ZHANG ; Yilin ZHANG ; Hui ZHAO ; Xiaowei ZHANG ; Shuangli LI ; Xiaojie CHENG ; Xiuqing ZHANG ; Bin LIU ; Changqing ZENG ; Songgang LI ; Xuehai TAN ; Siqi LIU ; Wei DONG ; Jun WANG ; Gane Ka-Shu WONG ; Jun YU ; Jian WANG ; Qingyu ZHU ; Huanming YANG
Genomics, Proteomics & Bioinformatics 2003;1(2):101-107
We report a complete genomic sequence of rare isolates (minor genotype) of the SARS-CoV from SARS patients in Guangdong, China, where the first few cases emerged. The most striking discovery from the isolate is an extra 29-nucleotide sequence located at the nucleotide positions between 27,863 and 27,864 (referred to the complete sequence of BJ01) within an overlapped region composed of BGI-PUP5 (BGI-postulated uncharacterized protein 5) and BGI-PUP6 upstream of the N (nucleocapsid) protein. The discovery of this minor genotype, GD-Ins29, suggests a significant genetic event and differentiates it from the previously reported genotype, the dominant form among all sequenced SARS-CoV isolates. A 17-nt segment of this extra sequence is identical to a segment of the same size in two human mRNA sequences that may interfere with viral replication and transcription in the cytosol of the infected cells. It provides a new avenue for the exploration of the virus-host interaction in viral evolution, host pathogenesis, and vaccine development.
Base Sequence
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China
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Cluster Analysis
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Gene Components
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Genetic Variation
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Genome, Viral
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Genotype
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Molecular Sequence Data
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Phylogeny
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Reverse Transcriptase Polymerase Chain Reaction
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SARS Virus
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genetics
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Sequence Analysis, DNA
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Severe Acute Respiratory Syndrome
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genetics