1.The correlation between the carotid atherosclerosis unstable plaque, lipoprotein (a) levels with acute cerebral infarction patients
Wenzhen LUO ; Yingxin LU ; Rongqiang SHI
Chinese Journal of Primary Medicine and Pharmacy 2012;19(17):2601-2603
Objective To explore the correlation between the carotid atherosclerosis unstable plaque lipoprotein(a) [ Lp(a)]levels with acute cerebral infarction patients.Methods 120 patients with acute cerebral infarction were selected as the research group,and at the same period,120 health cases were selected as the control group.The level of Lp(a) of the two groups was tested,and neck vascular color dopplar ultrasound examination was conducted.Results The incidence of atherosclerotic plaque in carotid artery and unstable plaques was 70.8%,51.7%,respectively,and significantly higher than that of the control group(25.8%,6- 7% ) ( x2 =5.12,6.43,all P <0.05 ).The Lp(a) level of the research group[ (273.6 ± 221.7 )ag/L] was significantly higher than that of the control group[ ( 81.6 ± 64.9) mg/L ] ( t =6.53,P < 0.05 ).Conclusion High level of LP(a) is the independent risk factor of cerebral infarction.The instability of carotid atherosclerotic plaques is the important cause of cerebral infarction.
2.Study on Reform Mode for Township Hospitals in Zhangjiagang
Aijun XU ; Rongqiang LU ; Rongrong XIE
China Pharmacy 2005;0(13):-
OBJECTIVE:To provide reference for systematic reform in national state-owned hospital.METHODS:System reforms of township hospitals in Zhangjiagang were analyzed.Then three kinds of reform modes were summarized including privatization,town-owned-town-management and sino-foreign joint venture.Reform effects were also discussed.RESULTS & CONCLUSIONS:The achievement that the reformed township hospitals have made in Zhangjiagang in improving the medical insurance and pharmaceutical management system,reforming hospital management system and operation mechanism and creating a harmonious relationship between doctor and patient can provide a reference for domestic state-owned hospital reform.
3.Haemagglutinin gene mutations and sequences of influenza viruses A (H1N1)
Peiqiang HOU ; Rongqiang ZHANG ; Guang BIAN ; Juanjuan LU
Chinese Journal of Infectious Diseases 2011;29(11):679-684
ObjectiveTo understand the detections of influenza A (H1N1) in 2009,and haemagglutinin (HA) gene mutations and the comparisons with standard strains.MethodsThe nasopharyngeal swabs from patients with influenza-like illness (ILI) in National Influenza Sentinel Surveillance Hospital and the outbreak epidemic area were collected.The virus typing and A (H1N1) viruses were tested by real time-polymerase chain reaction (RT-PCR).Then the pathogens were isolated with MDCK cells,the virus titer was determined with hemagglutination test and the virus typing was identified with hemagglutination inhibition test (HA1).The RT-PCR products of HA1 gene of virulent strains were sequenced and then analyzed through bioinformatics.Results A total of 996 pharyngeal swab specimens were tested,and nucleic acid positive cases included 337 A (H1N1) subtype,1 seasonal A (H1N1) subtype,67 A (H3N2) subtype,and 12 B type.The positive rate of nucleic acid detection of influenza was 41.87% and that of A (H1N1) was 33.84%.Thirty-six influenza A (H1N1) virus strains were isolated,and 10 of them were successfully sequenced and several amino acid mutations were identified.There were 6 amino acid mutations found compared with vaccine strain A/California/07/2009 (H1N1),and 1 site was in area B of epitope.Conclusions A (H1N1) is absolute predominant among isolated strains in 2009.HA gene of virulent strains is mutated compared with vaccine strain provided by World Health Organization,which shows that the area B of epitope changes,while the key amino acid position 222 doesn't change.
4.Research on genetic characteristics in the HA1 of influenza A(H1N1) viruses isolated in Taian City
Peiqiang HOU ; Huili YANG ; Juanjuan LU ; Rongqiang ZHANG ; Dayong TIAN ; Yunqiang LIU
Chinese Journal of Disease Control & Prevention 2009;0(02):-
Objective To analyze the data of influenza A(H1N1) viruses surveillance and genetic characteristics from Taian City during 2005-2008,so a scientific basis can be provided for the prevention and treatment of influenza.Methods The specimens from Influenza-Like Illness(ILI) were collected.The viruses were isolated with MDCK cell and identified with HAI and RT-PCR.The product of PCR were sequenced.Then the sequences were analyzed through biometric software.Results A total of 121 influenza strains were obtained from 615 specimens,and 4 of them were identified as A(H1N1) subtype.There were 3 strains mutated on several sites.Compared with strains isolated in 2005,there were 5 and 8 mutations in the amino acid sequences of virus strains isolated in 2007 and 2008 respectively.And there were a total of 22 amino acid mutations compared with A/Brisbane/59/2007(H1N1).Conclusions Influenza type A(H1N1) are detected in Taian City.There are several mutations in the amino acid sequences of virus strains isolated in Taian. The antigenic drift of virus strains is due to accumulation of amino acid substitutions
5.Gclust:A Parallel Clustering Tool for Microbial Genomic Data
Li RUILIN ; He XIAOYU ; Dai CHUANGCHUANG ; Zhu HAIDONG ; Lang XIANYU ; Chen WEI ; Li XIAODONG ; Zhao DAN ; Zhang YU ; Han XINYIN ; Niu TIE ; Zhao YI ; Cao RONGQIANG ; He RONG ; Lu ZHONGHUA ; Chi XUEBIN ; Li WEIZHONG ; Niu BEIFANG
Genomics, Proteomics & Bioinformatics 2019;17(5):496-502
The accelerating growth of the public microbial genomic data imposes substantial bur-den on the research community that uses such resources. Building databases for non-redundant ref-erence sequences from massive microbial genomic data based on clustering analysis is essential. However, existing clustering algorithms perform poorly on long genomic sequences. In this article, we present Gclust, a parallel program for clustering complete or draft genomic sequences, where clustering is accelerated with a novel parallelization strategy and a fast sequence comparison algo-rithm using sparse suffix arrays (SSAs). Moreover, genome identity measures between two sequences are calculated based on their maximal exact matches (MEMs). In this paper, we demon-strate the high speed and clustering quality of Gclust by examining four genome sequence datasets. Gclust is freely available for non-commercial use at https://github.com/niu-lab/gclust. We also introduce a web server for clustering user-uploaded genomes at http://niulab.scgrid.cn/gclust.
6.Practice of a hemodialysis alliance in the context of closed-loop hospital management
Jing QIAN ; Mengjing WANG ; Chuhan LU ; Ping CHENG ; Li NI ; Wei LIU ; Bihong HUANG ; Zhibin YE ; Zhenwen YAN ; Qianqiu CHENG ; Chen YU ; Aili WANG ; Ai PENG ; Wei XU ; Chunlai LU ; Dandan CHEN ; Xiuzhi YU ; Liyan FEI ; Jun MA ; Jialan SHEN ; Junhui LI ; Ying LI ; Lingyun CHEN ; Weifeng WU ; Rongqiang YU ; Lihua XU ; Jing CHEN
Chinese Journal of Hospital Administration 2022;38(8):595-599
Closed-loop hospital management can effectivly cope with the COVID-19 pandemic. In order to ensure the continuity of treatments for hemodialysis patients under closed-loop management and minimize possible medical and infection risks, Huashan Hospital affiliated to Fudan University and 9 hospitals in Shanghai established a hemodialysis alliance in January 2021.The alliance optimized hemodialysis resources within the region through overall planning by preparing sites, materials and personnel shifts in advance, and establishing management systems and work processes to ensure that patients could be quickly and orderly diverted to other blood dialysis centers for uninterrupted high-quality hemodialysis services, in case that some hemodialysis centers in the alliance under closed-loop management.From November 2021 to April 2022, 317 of 1 459 hemodialysis patients in the alliance were diverted to other centers for treatment, accumulating 1 215 times/cases of treatments without obvious adverse reactions. The practice could provide a reference for medical institutions to quickly establish mutual support mode under major public health events.