BACKGROUND: This meta-analysis aimed to determine whether extracorporeal cardiopulmonary resuscitation (ECPR), compared with conventional cardiopulmonary resuscitation (CCPR), improves outcomes in adult patients with cardiac arrest (CA). DATA RESOURCES: PubMed, EMBASE, Web of Science, and China Biological Medicine Database were searched for relevant articles. The baseline information and outcome data (survival, good neurological outcome at discharge, at 3–6 months, and at 1 year after CA) were collected and extracted by two authors. Pooled risk ratios (RRs) and 95% confidence intervals (CIs) were calculated using Review Manager 5.3. RESULTS: In six studies 2260 patients were enrol ed to study the survival rate to discharge and long-term neurological outcome published since 2000. A significant effect of ECPR was observed on survival rate to discharge compared to CCPR in CA patients (RR 2.37, 95%CI 1.63–3.45, P<0.001), and patients who underwent ECPR had a better long-term neurological outcome than those who received CCPR (RR 2.79, 95%CI 1.96–3.97, P<0.001). In subgroup analysis, there was a significant difference in survival to discharge favoring ECPR over CCPR group in OHCA patients (RR 2.69, 95%CI 1.48–4.91, P=0.001). However, no significant difference was found in IHCA patients (RR 1.84, 95%CI 0.91–3.73, P=0.09). CONCLUSION: ECPR showed a beneficial effect on survival rate to discharge and long-term neurological outcome over CCPR in adult patients with CA.

Objective To investigate the resistant mechanism of quinolones on multi-drug resistant Klebsiella caused pneumonia(MDR-KPN).Methods From August 2008 to May 2010,47 strains of MDR-KPN were collected from 6 hospitals in Hangzhou and Huzhou in Zhejiang province in China.Drug target genes to quinolones (gyrA,parC) and quinolone-resistance genes mediated by mobile genetic elements [qnrA,qnrB,qnrS,aac (6')-Ⅰ b-cr,qepA] were analyzed by PCR and verified by DNA sequencing.Results Positive results were found in 47 strains of MDR-KPN,43 strains (91.5％) of gyrA mutation,40 strains(85.1％) ofparC mutation,3 strains (6.4％) of qnrB2,1 strain (2.1％) ofqnrB 4,8 strains (17.0％) ofqnrS 1,5 strains (10.6％) of qnrS 4,2 strains (4.3％)of aac (6')-Ⅰ b-cr respectively.Moreover,5 novel variants of gyrA (GenBank accession number:JN811952,JN811953,JN811954,JN811955,JN811956),5 novel variants of parC (GenBank accession number:JN817432,JN817433,JN817434,JN817435,JN817436)were also identified.In addition,qnrS4 (GenBank accession number:JN836269) appeared to be the novel variants of qnrS.Conclusion Quinolone-resistance-determining region played a key role on the resistance to quinolones in this group of MDR-KPN,and quinolone-resistance genes mediated by mobile genetic elements [qnrB2,qnrB4,qnrS1,qnrS4,aac (6')-Ⅰ b-cr] showed positive in some parts of the strains.This was the first report on emergence of qnrS4 in the world.

Recently, integrative pharmacology(IP) has become a pivotal paradigm for the modernization of traditional Chinese medicines(TCM) and combinatorial drugs discovery, which is an interdisciplinary science for establishing the in vitro and in vivo correlation between absorption, distribution, metabolism, and excretion/pharmacokinetic(ADME/PK) profiles of TCM and the molecular networks of disease by the integration of the knowledge of multi-disciplinary and multi-stages. In the present study, an internet-based Computation Platform for IP of TCM(TCM-IP, www.tcmip.cn) is established to promote the development of the emerging discipline. Among them, a big data of TCM is an important resource for TCM-IP including Chinese Medicine Formula Database, Chinese Medical Herbs Database, Chemical Database of Chinese Medicine, Target Database for Disease and Symptoms, et al. Meanwhile, some data mining and bioinformatics approaches are critical technology for TCM-IP including the identification of the TCM constituents, ADME prediction, target prediction for the TCM constituents, network construction and analysis, et al. Furthermore, network beautification and individuation design are employed to meet the consumer's requirement. We firmly believe that TCM-IP is a very useful tool for the identification of active constituents of TCM and their involving potential molecular mechanism for therapeutics, which would wildly applied in quality evaluation, clinical repositioning, scientific discovery based on original thinking, prescription compatibility and new drug of TCM, et al.

To explore the flavor and meridian tropism classification of Callianthemum taipaicum by principal components analysis(PCA) and partial least square analysis(PLS). Meanwhile,to establish a high performance liquid chromatography-tandem mass spectrometry(HPLC-ESI-MS) method for the simultaneous determination of 55 active components from 13 kinds of Ranunculaceae of Chinese traditional herbs. Samples were separated on HPLC system by Agilent 5 TC-C₁₈（2）（4.6 mm×250 mm，5 μm）column and eluted with acetonitrile and 0.1% formic acid at the flow rate of 0.6 mL·min⁻¹. The data were performed by HPLC-ESI-MS with multiple reaction monitoring（MRM）scanning mode under positive and negative ion modes and quantified by external standards. The data from 13 Ranunculaceae herbs were analyzed by the PLS-tree and cooman's prediction of PCA and PLS to evaluate the similarities and differences of C. taipaicum in flavor and meridian tropism. The results showed that calibration curves of 55 components all showed good linearity, >0.99,with good precision, repeatability and stability. After compared to other 12 herbs,PCA and PLS results revealed that the C. taipaicum belonged to lung and bladder meridians while its flavor attributive to pungent,warm in nature. In conclusion,the analysis approach of chemometric calculation combined with multi-components quantification is suitable for the classification of meridian tropism and flavor of Chinese traditional medicine,which can be used for alternative research of rare herbs.
Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal ; chemistry ; Mass Spectrometry ; Meridians ; Phytochemicals ; analysis ; Plants, Medicinal ; chemistry ; Ranunculaceae ; chemistry ; Tandem Mass Spectrometry