1.Inhibitory effects of toosendanin on in vitro and in vivo growth of lung adenocarcinoma cells by regulating CDCA5 expression
Zhi-Cheng ZHANG ; Li-Xia SU ; Rui-Ling MENG ; Wen-Juan GUAN ; Hong-Qian LI
The Chinese Journal of Clinical Pharmacology 2024;40(7):994-998
Objective To investigate the inhibitory effect of toosendanin on the growth of lung adenocarcinoma cells in vitro and in vivo by regulating the expression of cell division cycle associated protein 5(CDCA5).Methods The expression of CDCA5 in different lung tissues was analyzed in TCGA database.The expression level of CDCA5 in BEAS-2B cells and A549 cells was detected by Western blot.The effect of different concentrations of toosendanin on the viability of A549 cells was determined by cell counting kit-8(CCK-8)assay.The A549 cells were randomly divided into 4 groups:control group(normal cells cultured normally),toosendanin group(normal cells cultured with 40 μmol·L-1 toosendanin),toosendanin+pcDNA group(cells transfected with pcDNA empty vector and cultured with 40 μmol·L-1 toosendanin),and toosendanin+CDCA5 group(cells transfected with CDCA5 overexpression vector and cultured with 40 μmol·L-1 toosendanin).After 48 h of cultivation,the proliferation and apoptosis of each group of cells were detected by CCK-8 and flow cytometry,and the expression of proliferation and apoptosis related proteins in each group of cells was detected by Western blot.The BALB/c nude mice were randomly divided into sh-NC and sh-CDCA5 stable transfected cell lines with nude mouse xenograft models.Daily intraperitoneal injection of 0.9%NaCl and 40μmol·L-1 toosendanin solution was given to observe and record the changes in tumor tissue volume and body mass.Results The results of CCK-8 showed that after 48 hours,the survival rates of A549 cells treated with 10,20,30,40,50,60 and 70 μmol·L-1 toosendanin were(80.74±8.71)%,(72.96±6.53)%,(61.01±4.86)%,(51.20±3.13)%,(42.10±5.94)%,(38.93±3.18)%and(33.48±2.94)%,respectively.Toosendanin significantly inhibited the proliferation of A549 cells.The proliferation rates of cells in the control group,toosendanin group,toosendanin+pcDNA group,and toosendanin+CDCA5 group were(100.00±4.19)%,(49.18±6.70)%,(55.75±5.74)%,and(77.66±7.48)%,respectively;the expression levels of CDCA5 protein were 1.08±0.11,0.44±0.04,0.43±0.05 and 0.99±0.10,respectively.The expression levels of CDCA5 protein in tumor tissues of nude mice in the sh-NC group,sh-CDCA5 group,toosendanin+sh-NC group,and toosendanin+sh-CDCA5 group were 1.04±0.14,0.42±0.04,0.56±0.08 and 0.32±0.04,respectively.Compared with the sh-NC group,the tumor blocks formed by nude mice in other groups were significantly smaller,and the tumor volume and weight were significantly lower(all P<0.05).Compared with the toosendanin+sh-NC group,the toosendanin+sh-CDCA5 group had more significant inhibitory effect on tumor formation,and the difference was statistically significant(P<0.05).Conclusion Toosendanin can inhibit the growth of lung adenocarcinoma cells in vitro and in vivo,which is mainly related to the inhibition of CDCA5 expression.
2.Epidemiological Surveillance:Genetic Diversity of Rotavirus Group A in the Pearl River Delta,Guangdong,China in 2019
Ying Jie JIANG ; Dan LIANG ; Li WANG ; Yun XIAO ; Feng Yu LIANG ; Xia Bi KE ; Juan SU ; Hong XIAO ; Tao WANG ; Min ZOU ; Jian Hong LI ; Wen Chang KE
Biomedical and Environmental Sciences 2024;37(3):278-293
Objective This study aimed to understand the epidemic status and phylogenetic relationships of rotavirus group A(RVA)in the Pearl River Delta region of Guangdong Province,China. Methods This study included individuals aged 28 days-85 years.A total of 706 stool samples from patients with acute gastroenteritis collected between January 2019 and January 2020 were analyzed for 17 causative pathogens,including RVA,using a Gastrointestinal Pathogen Panel,followed by genotyping,virus isolation,and complete sequencing to assess the genetic diversity of RVA. Results The overall RVA infection rate was 14.59%(103/706),with an irregular epidemiological pattern.The proportion of co-infection with RVA and other pathogens was 39.81%(41/103).Acute gastroenteritis is highly prevalent in young children aged 0-1 year,and RVA is the key pathogen circulating in patients 6-10 months of age with diarrhea.G9P[8](58.25%,60/103)was found to be the predominant genotype in the RVA strains,and the 41 RVA-positive strains that were successfully sequenced belonged to three different RVA genotypes in the phylogenetic analysis.Recombination analysis showed that gene reassortment events,selection pressure,codon usage bias,gene polymorphism,and post-translational modifications(PTMs)occurred in the G9P[8]and G3P[8]strains. Conclusion This study provides molecular evidence of RVA prevalence in the Pearl River Delta region of China,further enriching the existing information on its genetics and evolutionary characteristics and suggesting the emergence of genetic diversity.Strengthening the surveillance of genotypic changes and gene reassortment in RVA strains is essential for further research and a better understanding of strain variations for further vaccine development.
5.Clinical Characteristics and Survival Analysis of Single Center Adult Chronic Myeloid Leukemia in Chronic Phase
Xia-Xia JIAO ; Yuan-Yuan ZHANG ; Jing PAN ; Lei-Na SONG ; Cai-Qin LIN ; Hui-Zhen SHI ; Bin ZHU ; Su-Li WANG ; Shao-Ying PAN ; Zhi-Yong DING ; Wen-Li ZHAO
Journal of Experimental Hematology 2024;32(5):1381-1387
Objective:To investigate the clinical characteristics and prognosis of single center adult chronic myeloid leukemia in chronic phase(CML-CP).Methods:Clinical data of 41 adult CML-CP patients in Department of Hematology,Shanghai Fengxian District Central Hospital from January 2015 to May 2021 were retrospectively analyzed.The clinical characteristics and prognosis of patients between<60 years group and ≥ 60 years group were compared.Results:The 41 patients included 27(65.9%)males and 14(34.1%)females.The median age of the patients was 56(19-84)years,with 22 cases(53.7%)<60 years and 19 cases(46.3%)≥60 years.Univariate analysis indicated that the proportions of patients with comorbidities,intermediate/high-risk Sokal score,myelofibrosis,and lactate dehydrogenase ≥1 000 U/L were significantly increased in ≥60 years group compared with<60 years group at initial diagnosis(all P<0.05).There were no statistical differences in the distribution of sex,ELST score,white blood cell count,platelet count,peripheral blood basophil percentage,peripheral blood eosinophil percentage and bone marrow primitive cell percentage between the two groups(P>0.05).The proportion of patients taking reduced-dose imatinib in≥60 years group significantly increased(P<0.001).Patients<60 years had a higher proportion of molecular biological remission after treatment of tyrosine kinase inhibitors(TKIs)than patients ≥ 60 years(P<0.001).The incidence of non-hematologic adverse reactions to TKI therapy significantly increased in patients ≥ 60 years(P<0.001).Multivariate analysis showed that no adverse factors affecting the efficacy and prognosis of TKI.Conclusion:Compared with adult CML-CP patients<60 years,patients ≥ 60 years gain fewer benefits from TKI treatment and increased adverse reactions.
6.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
7.Simultaneous determination of eight constituents in Lianhua Qingwen Capsules by LC-MS/MS
Piao-Ran QIN ; Jia-Ye TIAN ; Su-Xia LI ; Fan GAO ; Wen-Hua YU ; Xing-Chao LIU ; Qiu-Hong GUO
Chinese Traditional Patent Medicine 2024;46(11):3564-3568
AIM To establish an LC-MS/MS method for the simultaneous content determination of forsythin,forsythoside A,chlorogenic acid,neochlorogenic acid,amygdalin,emodin,rhein and salidroside in Lianhua Qingwen Capsules.METHODS The analysis was performed on a 35℃thermostatic ACQUITY UPlC-HSS T3 column(100 mm×2.1 mm,1.8 μm),with the mobile phase comprising of 0.1%formic acid-acetonitrile flowing at 0.3 mL/min in a gradient elution manner,and electron spray ionization source was adopted in negative ion scanning with multiple reaction monitoring mode.RESULTS Eight constituents showed good linear relationships within their own ranges(r≥0.999 5),whose average recoveries were 99.20%-100.96%with the RSDs of 0.62%-1.23%.CONCLUSION This simple,sensitive and reliable method can be used for the quality control of Lianhua Qingwen capsules.
8.Construction and application of hospital multi-source heterogeneous data fusion platform
Yang LIU ; Xia WEN ; Yaxi KANG ; Weicong CHEN ; Ziren SU ; Jialun LIN
Chinese Journal of Hospital Administration 2024;40(4):305-309
Building a multi-source heterogeneous data fusion platform for clinical data centers has become a common consensus in the medical information industry. The data fusion platform built by a certain hospital consisted of five parts: data acquisition module, data processing module, data comparison and repair module, data subscription and application module, and data fusion management platform. Data quality check was conducted on data scattered across the hospital′s operational systems with different structures and types, diverse patterns and states, different sizes and versions. The platform could handle duplicate and redundant metadata, collect, transform, process, distribute, and load data as needed, and maintain data consistency through comparison and repair. This platform is capable of automatically capturing, analyzing, governing, and integrating different types of data across databases, operating systems, and hardware environments, meeting diverse medical data application needs, and supporting the high-quality development of intelligent hospitals

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