1.HPLC-UV-ELSD characteristic figure and chemical pattern recognition of Panacis Quinquefolii Radix.
Liang DONG ; Cuiying ZHANG ; Shilin CHEN
Acta Pharmaceutica Sinica 2011;46(2):198-202
The paper is to report the establishment of a method of characteristic figure analysis for the quality control of Panacis Quinquefolii Radix. Application of HPLC-UV-ELSD techniques was connected in series and applied. The separation was carried out on the Agilent Extend-C18 (250 mm x 4.6 mm, 5 microm) column. The mobile phase consisted of water and acetonitrile with gradient elution. The flow rate was 1.0 mL x min(-1) and the wavelength of measurement was 203 nm. The temperature of drift tube was maintained at 106.5 degrees C and the flow rate of air was set at 2.9 L x min(-1). Twenty batches of the Panacis Quinquefolii Radix were determined. Hierarchical cluster analysis (HCA) and principal component analysis (PCA) were applied to study on the HPLC characteristic figure and chemical pattern recognition. The HPLC-UV and HPLC-ELSD characteristic figure of Panacis Quinquefolii Radix was developed, the ginsenosides Rg1, Re, Rb1, Rc, Rb2, Rb3, Rd and the pseudoginsenoside F11 were identified. This method is accurate and reliable, and it can be used to control the quality of the Panacis Quinquefolii Radix.
2.UPLC fingerprint for quality assessment of ginsenosides of ginseng radix et rhizoma.
Cuiying ZHANG ; Liang DONG ; Shilin CHEN ; Caixiang XIE ; Duanling CHANG
Acta Pharmaceutica Sinica 2010;45(10):1296-300
This paper is aimed to establish the method of fingerprint analysis of chemical constituents by reversed-phase ultra-performance liquid chromatography (UPLC) for the quality control of the roots and rhizomes of Panax ginseng (Ginseng Radix et Rhizoma). The method was performed on a ACQUITY UPLC BEH C18 (50 mm x 2.1 mm ID, 1.7 microm) with a mixed mobile phase of water and acetonitrile in a gradient mode. The flow rate was 0.3 mL x min(-1) and the wavelength of measurement was 203 nm. Eleven batches of the Ginseng Radix et Rhizoma were determined. The UPLC chromatographic fingerprints of chemical constituents were established from the eleven batches of the Ginseng Radix et Rhizoma and showed fifteen characteristic common peaks, among which fifteen peaks were recognized and nine compounds (ginsenosides Rg1, Re, Rf, Rg2, Rb1, Rc, Rb2, Rb3 and Rd) were determined by comparison with chromatographic behaviors and UV spectra of the authentic compounds. The eleven batches of samples were classified as two clusters by hierarchical clustering analysis (HCA) and principle component analysis (PCA), and six samples were confirmed to establish the mutual model. The quality was assessed by similarity evaluation system for chromatographic fingerprint of TCM (2004B Version). The convenient and high specific method can be used to identify and evaluate the quality of the Ginseng Radix et Rhizoma.
3.Risk factors and diagnostic value of thrombotic risk index for acute calf muscular venous thrombosis in elderly patients with hip fractures
Cuiying LIANG ; Shuang LIANG ; Feng DONG ; Yu SU ; Tenglong DAI ; Jun WU
Chinese Journal of Clinical Laboratory Science 2024;42(9):664-668
Objective To investigate the risk factors for acute calf muscular venous thrombosis(CMVT)in elderly patients with hip fractures and evaluate the diagnostic value of thrombotic risk index for CMVT.Methods The blood samples from elderly emergency admission patients with traumatic hip fractures were prospectively collected,and platelet count(PLT),plateletcrit(PCT),coagula-tion markers such as thrombin-activatable fibrinolysis inhibitor(TAFI),D-dimer,and fibrinogen(Fib),and biochemical markers,including serum total protein(TP),globulin(Glob),creatine kinase(CK),triglyceride(TG),and lactate dehydrogenase(LDH),were detected.The differences in these markers between the CMVT group,deep calf venous thrombosis(DCVT)group and non-deep venous thrombosis(DVT)group were compared.The multivariate logistic regression analysis was used to identify independent risk fac-tors for CMVT,and a thrombotic risk index was generated to evaluate its diagnostic value in CMVT.Results Compared with the non-DVT group,the levels of TAFI,Fib,TP,CK,TG,PCT,and LDH in the CMVT group were significantly reduced(P<0.05),while the level of D-dimer increased but the difference was not statistically significant.The level of TP in the DCVT group was significantly lower than that in the non-DVT group(P<0.05).Multivariate analysis showed that age,LDH,and Fib were independent risk factors for CMVT.The area under the receiver operating characteristics(ROC)curve of the thrombotic risk index in diagnosing CMVT was 0.718(P<0.001).Conclusion Age,LDH,and Fib are the independent risk factors of CMVT in elderly patients with hip fractures.The thrombotic risk index has a high diagnostic value in CMVT.
4.Development of a diagnosis model for active pulmonary tuberculosis using mass spectrometry and pro-tein chip
Xueqiong WU ; Junxian ZHANG ; Yan LIANG ; Mei DONG ; Bin YI ; Ruijuan MA ; Hua WEI ; Jianqin LIANG ; Yourong YANG ; Hongbing CHEN ; Cuiying ZHANG ; Jufang HE ; Hong WU ; Zhongxing LI ; Youning LIU
Chinese Journal of Microbiology and Immunology 2008;28(11):1040-1043
Objective To develop a diagnosis model for active pulmonary tuberculosis. Methods The proteomic fingerprinting of 264 sera from active tuberculosis patients and controls were analyzed using the surface-enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF-MS) and protein-chip technology. The peaks were detected and filtrated by Ciphergen PrnteinChip(R) Software (version 3.1.1). Using the Biomarker Pattern 5.0 software, a diagnostic model was developed for diagnosis of active tuberculosis. Re-sults Fifty protein peaks were significantly different between the patients with active pulmonary tuberculosis and the controls with overlapping clinical features (P<0.01). Five protein peaks at 4360, 3311, 8160, 5723, 15173 m/z were chosen for the system classifier and the development of diagnosis model 1. The model differenti-ated the patients with active pulmonary tuberculosis from the controls with a sensitivity of 83.0%, and a speci-ficity of 89.6%. The diagnostic accuracy was up to 86.4%. Three protein peaks at 5643, 4486, 4360 m/z were chosen for the system classifier and the development of diagnosis model 2. The model differentiated the pa-tients with active pulmonary tuberculosis from the controls with a sensitivity of 96.9%, and a specificity of 97.8%. The diagnostic accuracy was up to 97.3%. Conclusion It might be a new diagnostic test for the de-tection of sera from the patients with active pulmonary tuberculosis using SELDI-TOF-MS and protein chip.
5.Alveolar bone thickness and root length changes in the treatment of skeletal Class Ⅲ patients facilitated by improved corticotomy: a cone-beam CT analysis
Jiaqi WU ; Jiuhui JIANG ; Li XU ; Cheng LIANG ; Cuiying LI ; Xiao XU
Chinese Journal of Stomatology 2015;50(4):223-227
Objective To evaluate the alveolar bone thickness and root length changes of anterior teeth with cone-beam computed tomography(CBCT).Methods CBCT scans were taken for 12 skeletal Class Ⅲ patients who accepted the improved corticotomy(IC) procedures during pre-surgical orthodontics.The CBCT data in T1(the maxillary dental arch was aligned and leveled) and T2(extraction space closure) were superimposed and the alveolar bone thickness at root apex level and root length measurements were done.Results From T1 to T2,the buccal alveolar bone thickness for the upper lateral incisors increased from (1.89±0.83) to (2.47± 1.02) mm (P<0.05),and for central incisors and for canines from (2.32±0.71) to (2.68 ± 1.48) mm and from (2.28 ± 1.08) to (2.41 ± 1.40) mm,respectively.According to Sharpe Grading System,the root resorption grade for 69 teeth of 72 was located in Grade 1,two teeth in Grade 2,one tooth in Grade 3.Conclusions The improved corticotomy had the potential to increase the buccal alveolar bone thickness and the root resorption in most teeth was in Grade 1 according to Sharpe grading system.
6.The Role of Cerebral-Placenta-Uterine Ratio in Predicting Late-Onset Fetal Growth Restriction
Yongyan CHU ; Haiyan TANG ; Jiayi ZHANG ; Chuqin XIONG ; Haoyue HUANG ; Runhe LIANG ; Cuiying LEI ; Ting ZENG ; Yanyan LI ; Li HE ; Minping CHEN ; Libei DU ; Shengmou LIN
Journal of Practical Obstetrics and Gynecology 2024;40(1):36-41
Objective:To evaluate the efficacy of cerebral-placental-uterine ratio(CPUR)in predicting late-on-set fetal growth restriction(FGR).Methods:From May 2020 to May 2021,1255 women with singleton pregnancy who underwent prenatal examinations at the University of Hong Kong Shenzhen Hospital were selected for fetal growth and Doppler measurements at 35-37 +6 weeks of gestation.Pregnant women with birth weight of newbo-rns<the 10th percentile were the FGR group.The pulsatility index(PI)of uterine artery(UtA),umbilical artery(UA)and fetal middle cerebral artery(MCA)were analyzed separately and in combination.ROC curve was used to analyze the cerebral-placental-uterine ratio(CPUR),cerebral-placental ratio(CPR),cerebral-uterine ratio(C-UtA)for predicting late-onset FGR;and to evaluate the sensitivity,positive and negative predictive value and of CPUR in the prediction of late-onset FGR.Results:The area under the curve(AUC)of CPUR,CPR,C-UtA and mean UtA-PI for FGR grope were 0.88,0.86,0.84 and 0.72.Under certain cut-off values and 87% specificity,the specificity of CPUR,CPR,C-UtA and mean UtA-Pifor predicting FGR group was 43.2%,46.6%,39.8% and 23.9%,respectively.The positive predictive values of CPUR,CPR,C-UtA and mean UtA-PI,UA-PI for predicting FGR group were 90.5%,71.9%,83.3%,63.6%and 5.2%,respectively.Conclusions:CPUR is more effective in predicting late onset FGR than CPR,C-UtA and mean UtA-PI.It can effectively increase the detection rate of fetal growth restrictionand reduce the FGR risk.
7.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.